Revert "Add Performance Regression Testing [Rust]"

.bumpversion.cfg

@@ -1,19 +1,13 @@
 [bumpversion]
-current_version = 1.9.0a1
-parse = (?P<major>[\d]+) # major version number
-	\.(?P<minor>[\d]+) # minor version number
-	\.(?P<patch>[\d]+) # patch version number
-	(?P<prerelease>  # optional pre-release - ex: a1, b2, rc25
-	(?P<prekind>a|b|rc) # pre-release type
-	(?P<num>[\d]+) # pre-release version number
+current_version = 0.21.0b1
+parse = (?P<major>\d+)
+	\.(?P<minor>\d+)
+	\.(?P<patch>\d+)
+	((?P<prekind>a|b|rc)
+	(?P<pre>\d+)  # pre-release version num
 	)?
-	( # optional nightly release indicator
-	\.(?P<nightly>dev[0-9]+) # ex: .dev02142023
-	)? # expected matches: `1.15.0`, `1.5.0a11`, `1.5.0a1.dev123`, `1.5.0.dev123457`, expected failures: `1`, `1.5`, `1.5.2-a1`, `text1.5.0`
-serialize =
-	{major}.{minor}.{patch}{prekind}{num}.{nightly}
-	{major}.{minor}.{patch}.{nightly}
-	{major}.{minor}.{patch}{prekind}{num}
+serialize = 
+	{major}.{minor}.{patch}{prekind}{pre}
 	{major}.{minor}.{patch}
 commit = False
 tag = False
@@ -21,17 +15,36 @@ tag = False
 [bumpversion:part:prekind]
 first_value = a
 optional_value = final
-values =
+values = 
 	a
 	b
 	rc
 	final
 
-[bumpversion:part:num]
+[bumpversion:part:pre]
 first_value = 1
 
-[bumpversion:part:nightly]
+[bumpversion:file:setup.py]
 
 [bumpversion:file:core/setup.py]
 
 [bumpversion:file:core/dbt/version.py]
+
+[bumpversion:file:core/scripts/create_adapter_plugins.py]
+
+[bumpversion:file:plugins/postgres/setup.py]
+
+[bumpversion:file:plugins/redshift/setup.py]
+
+[bumpversion:file:plugins/snowflake/setup.py]
+
+[bumpversion:file:plugins/bigquery/setup.py]
+
+[bumpversion:file:plugins/postgres/dbt/adapters/postgres/__version__.py]
+
+[bumpversion:file:plugins/redshift/dbt/adapters/redshift/__version__.py]
+
+[bumpversion:file:plugins/snowflake/dbt/adapters/snowflake/__version__.py]
+
+[bumpversion:file:plugins/bigquery/dbt/adapters/bigquery/__version__.py]
+

.changes/0.0.0.md

@@ -1,24 +0,0 @@
-## Previous Releases
-
-For information on prior major and minor releases, see their changelogs:
-
-
-* [1.7](https://github.com/dbt-labs/dbt-core/blob/1.7.latest/CHANGELOG.md)
-* [1.6](https://github.com/dbt-labs/dbt-core/blob/1.6.latest/CHANGELOG.md)
-* [1.5](https://github.com/dbt-labs/dbt-core/blob/1.5.latest/CHANGELOG.md)
-* [1.4](https://github.com/dbt-labs/dbt-core/blob/1.4.latest/CHANGELOG.md)
-* [1.3](https://github.com/dbt-labs/dbt-core/blob/1.3.latest/CHANGELOG.md)
-* [1.2](https://github.com/dbt-labs/dbt-core/blob/1.2.latest/CHANGELOG.md)
-* [1.1](https://github.com/dbt-labs/dbt-core/blob/1.1.latest/CHANGELOG.md)
-* [1.0](https://github.com/dbt-labs/dbt-core/blob/1.0.latest/CHANGELOG.md)
-* [0.21](https://github.com/dbt-labs/dbt-core/blob/0.21.latest/CHANGELOG.md)
-* [0.20](https://github.com/dbt-labs/dbt-core/blob/0.20.latest/CHANGELOG.md)
-* [0.19](https://github.com/dbt-labs/dbt-core/blob/0.19.latest/CHANGELOG.md)
-* [0.18](https://github.com/dbt-labs/dbt-core/blob/0.18.latest/CHANGELOG.md)
-* [0.17](https://github.com/dbt-labs/dbt-core/blob/0.17.latest/CHANGELOG.md)
-* [0.16](https://github.com/dbt-labs/dbt-core/blob/0.16.latest/CHANGELOG.md)
-* [0.15](https://github.com/dbt-labs/dbt-core/blob/0.15.latest/CHANGELOG.md)
-* [0.14](https://github.com/dbt-labs/dbt-core/blob/0.14.latest/CHANGELOG.md)
-* [0.13](https://github.com/dbt-labs/dbt-core/blob/0.13.latest/CHANGELOG.md)
-* [0.12](https://github.com/dbt-labs/dbt-core/blob/0.12.latest/CHANGELOG.md)
-* [0.11 and earlier](https://github.com/dbt-labs/dbt-core/blob/0.11.latest/CHANGELOG.md)

.changes/README.md

@@ -1,53 +0,0 @@
-# CHANGELOG Automation
-
-We use [changie](https://changie.dev/) to automate `CHANGELOG` generation.  For installation and format/command specifics, see the documentation.
-
-### Quick Tour
-
-- All new change entries get generated under `/.changes/unreleased` as a yaml file
-- `header.tpl.md` contains the contents of the entire CHANGELOG file
-- `0.0.0.md` contains the contents of the footer for the entire CHANGELOG file.  changie looks to be in the process of supporting a footer file the same as it supports a header file.  Switch to that when available.  For now, the 0.0.0 in the file name forces it to the bottom of the changelog no matter what version we are releasing.
-- `.changie.yaml` contains the fields in a change, the format of a single change, as well as the format of the Contributors section for each version.
-
-### Workflow
-
-#### Daily workflow
-Almost every code change we make associated with an issue will require a `CHANGELOG` entry.  After you have created the PR in GitHub, run `changie new` and follow the command prompts to generate a yaml file with your change details.  This only needs to be done once per PR.
-
-The `changie new` command will ensure correct file format and file name.  There is a one to one mapping of issues to changes.  Multiple issues cannot be lumped into a single entry. If you make a mistake, the yaml file may be directly modified and saved as long as the format is preserved.
-
-Note: If your PR has been cleared by the Core Team as not needing a changelog entry, the `Skip Changelog` label may be put on the PR to bypass the GitHub action that blacks PRs from being merged when they are missing a `CHANGELOG` entry.
-
-#### Prerelease Workflow
-These commands batch up changes in `/.changes/unreleased` to be included in this prerelease and move those files to a directory named for the release version.  The `--move-dir` will be created if it does not exist and is created in `/.changes`.
-
-```
-changie batch <version>  --move-dir '<version>' --prerelease 'rc1'
-changie merge
-```
-
-Example
-```
-changie batch 1.0.5  --move-dir '1.0.5' --prerelease 'rc1'
-changie merge
-```
-
-#### Final Release Workflow
-These commands batch up changes in `/.changes/unreleased` as well as `/.changes/<version>` to be included in this final release and delete all prereleases.  This rolls all prereleases up into a single final release.  All `yaml` files in `/unreleased` and `<version>` will be deleted at this point.
-
-```
-changie batch <version>  --include '<version>' --remove-prereleases
-changie merge
-```
-
-Example
-```
-changie batch 1.0.5  --include '1.0.5' --remove-prereleases
-changie merge
-```
-
-### A Note on Manual Edits & Gotchas
-- Changie generates markdown files in the `.changes` directory that are parsed together with the `changie merge` command.  Every time `changie merge` is run, it regenerates the entire file.  For this reason, any changes made directly to `CHANGELOG.md` will be overwritten on the next run of `changie merge`.
-- If changes need to be made to the `CHANGELOG.md`, make the changes to the relevant `<version>.md` file located in the `/.changes` directory.  You will then run `changie merge` to regenerate the `CHANGELOG.MD`.
-- Do not run `changie batch` again on released versions.  Our final release workflow deletes all of the yaml files associated with individual changes.  If for some reason modifications to the `CHANGELOG.md` are required after we've generated the final release `CHANGELOG.md`, the modifications need to be done manually to the `<version>.md` file in the `/.changes` directory.
-- changie can modify, create and delete files depending on the command you run.  This is expected.  Be sure to commit everything that has been modified and deleted.

.changes/header.tpl.md

@@ -1,6 +0,0 @@
-# dbt Core Changelog
-
-- This file provides a full account of all changes to `dbt-core`
-- Changes are listed under the (pre)release in which they first appear. Subsequent releases include changes from previous releases.
-- "Breaking changes" listed under a version may require action from end users or external maintainers when upgrading to that version.
-- Do not edit this file directly. This file is auto-generated using [changie](https://github.com/miniscruff/changie). For details on how to document a change, see [the contributing guide](https://github.com/dbt-labs/dbt-core/blob/main/CONTRIBUTING.md#adding-changelog-entry)

.changes/unreleased/Dependencies-20240509-093717.yaml

@@ -1,6 +0,0 @@
-kind: Dependencies
-body: Remove logbook dependency
-time: 2024-05-09T09:37:17.745129-05:00
-custom:
-  Author: emmyoop
-  Issue: "8027"

.changes/unreleased/Docs-20240522-174713.yaml

@@ -1,6 +0,0 @@
-kind: Docs
-body: Fix rendering docs with saved queries
-time: 2024-05-22T17:47:13.414938-04:00
-custom:
-  Author: ChenyuLInx michelleark
-  Issue: "10168"

.changes/unreleased/Features-20240506-175642.yaml

@@ -1,6 +0,0 @@
-kind: Features
-body: serialize inferred primary key
-time: 2024-05-06T17:56:42.757673-05:00
-custom:
-  Author: dave-connors-3
-  Issue: "9824"

.changes/unreleased/Features-20240507-162717.yaml

@@ -1,6 +0,0 @@
-kind: Features
-body: 'Add unit_test: selection method'
-time: 2024-05-07T16:27:17.047585-04:00
-custom:
-  Author: michelleark
-  Issue: "10053"

.changes/unreleased/Fixes-20230601-204157.yaml

@@ -1,6 +0,0 @@
-kind: Fixes
-body: Remove unused check_new method
-time: 2023-06-01T20:41:57.556342+02:00
-custom:
-  Author: kevinneville
-  Issue: "7586"

.changes/unreleased/Fixes-20240508-151127.yaml

@@ -1,7 +0,0 @@
-kind: Fixes
-body: 'Restore previous behavior for --favor-state: only favor defer_relation if not
-  selected in current command"'
-time: 2024-05-08T15:11:27.510912+02:00
-custom:
-  Author: jtcohen6
-  Issue: "10107"

.changes/unreleased/Fixes-20240509-091411.yaml

@@ -1,6 +0,0 @@
-kind: Fixes
-body: Unit test fixture (csv) returns null for empty value
-time: 2024-05-09T09:14:11.772709-04:00
-custom:
-  Author: michelleark
-  Issue: "9881"

.changes/unreleased/Fixes-20240516-153913.yaml

@@ -1,7 +0,0 @@
-kind: Fixes
-body: Fix json format log and --quiet for ls and jinja print by converting print call
-  to fire events
-time: 2024-05-16T15:39:13.896723-07:00
-custom:
-  Author: ChenyuLInx
-  Issue: "8756"

.changes/unreleased/Fixes-20240516-223510.yaml

@@ -1,6 +0,0 @@
-kind: Fixes
-body: Add resource type to saved_query
-time: 2024-05-16T22:35:10.287514-07:00
-custom:
-  Author: ChenyuLInx
-  Issue: "10168"

.changes/unreleased/Security-20240522-094540.yaml

@@ -1,6 +0,0 @@
-kind: Security
-body: Explicitly bind to localhost in docs serve
-time: 2024-05-22T09:45:40.748185-04:00
-custom:
-  Author: ChenyuLInx michelleark
-  Issue: "10209"

.changes/unreleased/Under the Hood-20240502-154430.yaml

@@ -1,6 +0,0 @@
-kind: Under the Hood
-body: Clear error message for Private package in dbt-core
-time: 2024-05-02T15:44:30.713097-07:00
-custom:
-  Author: ChenyuLInx
-  Issue: "10083"

.changes/unreleased/Under the Hood-20240506-145511.yaml

@@ -1,6 +0,0 @@
-kind: Under the Hood
-body: Enable use of context in serialization
-time: 2024-05-06T14:55:11.1812-04:00
-custom:
-  Author: gshank
-  Issue: "10093"

.changes/unreleased/Under the Hood-20240519-155946.yaml

@@ -1,6 +0,0 @@
-kind: Under the Hood
-body: Make RSS high water mark measurement more accurate on Linux
-time: 2024-05-19T15:59:46.700842315-04:00
-custom:
-    Author: peterallenwebb
-    Issue: "10177"

.changie.yaml

@@ -1,96 +0,0 @@
-changesDir: .changes
-unreleasedDir: unreleased
-headerPath: header.tpl.md
-versionHeaderPath: ""
-changelogPath: CHANGELOG.md
-versionExt: md
-envPrefix: "CHANGIE_"
-versionFormat: '## dbt-core {{.Version}} - {{.Time.Format "January 02, 2006"}}'
-kindFormat: '### {{.Kind}}'
-changeFormat: |-
-  {{- $IssueList := list }}
-  {{- $changes := splitList " " $.Custom.Issue }}
-  {{- range $issueNbr := $changes }}
-    {{- $changeLink := "[#nbr](https://github.com/dbt-labs/dbt-core/issues/nbr)" | replace "nbr" $issueNbr }}
-    {{- $IssueList = append $IssueList $changeLink  }}
-  {{- end -}}
-  - {{.Body}} ({{ range $index, $element := $IssueList }}{{if $index}}, {{end}}{{$element}}{{end}})
-
-kinds:
-  - label: Breaking Changes
-  - label: Features
-  - label: Fixes
-  - label: Docs
-    changeFormat: |-
-      {{- $IssueList := list }}
-      {{- $changes := splitList " " $.Custom.Issue }}
-      {{- range $issueNbr := $changes }}
-        {{- $changeLink := "[dbt-docs/#nbr](https://github.com/dbt-labs/dbt-docs/issues/nbr)" | replace "nbr" $issueNbr }}
-        {{- $IssueList = append $IssueList $changeLink }}
-      {{- end -}}
-      - {{.Body}} ({{ range $index, $element := $IssueList }}{{if $index}}, {{end}}{{$element}}{{end}})
-  - label: Under the Hood
-  - label: Dependencies
-  - label: Security
-
-newlines:
-  afterChangelogHeader: 1
-  afterKind: 1
-  afterChangelogVersion: 1
-  beforeKind: 1
-  endOfVersion: 1
-
-custom:
-- key: Author
-  label: GitHub Username(s) (separated by a single space if multiple)
-  type: string
-  minLength: 3
-- key: Issue
-  label: GitHub Issue Number (separated by a single space if multiple)
-  type: string
-  minLength: 1
-
-footerFormat: |
-  {{- $contributorDict := dict }}
-  {{- /* ensure all names in this list are all lowercase for later matching purposes */}}
-  {{- $core_team := splitList " " .Env.CORE_TEAM }}
-  {{- /* ensure we always skip snyk and dependabot in addition to the core team */}}
-  {{- $maintainers := list "dependabot[bot]" "snyk-bot"}}
-  {{- range $team_member := $core_team }}
-    {{- $team_member_lower := lower $team_member }}
-    {{- $maintainers = append $maintainers $team_member_lower }}
-  {{- end }}
-  {{- range $change := .Changes }}
-    {{- $authorList := splitList " " $change.Custom.Author }}
-    {{- /* loop through all authors for a single changelog */}}
-    {{- range $author := $authorList }}
-      {{- $authorLower := lower $author }}
-      {{- /* we only want to include non-core team contributors */}}
-      {{- if not (has $authorLower $maintainers)}}
-        {{- $changeList := splitList " " $change.Custom.Author }}
-          {{- $IssueList := list }}
-          {{- $changeLink := $change.Kind }}
-          {{- $changes := splitList " " $change.Custom.Issue }}
-          {{- range $issueNbr := $changes }}
-            {{- $changeLink := "[#nbr](https://github.com/dbt-labs/dbt-core/issues/nbr)" | replace "nbr" $issueNbr }}
-            {{- $IssueList = append $IssueList $changeLink  }}
-          {{- end }}
-          {{- /* check if this contributor has other changes associated with them already */}}
-          {{- if hasKey $contributorDict $author }}
-            {{- $contributionList := get $contributorDict $author }}
-            {{- $contributionList = concat $contributionList $IssueList  }}
-            {{- $contributorDict := set $contributorDict $author $contributionList }}
-          {{- else }}
-            {{- $contributionList := $IssueList }}
-            {{- $contributorDict := set $contributorDict $author $contributionList }}
-          {{- end }}
-        {{- end}}
-    {{- end}}
-  {{- end }}
-  {{- /* no indentation here for formatting so the final markdown doesn't have unneeded indentations */}}
-  {{- if $contributorDict}}
-  ### Contributors
-  {{- range $k,$v := $contributorDict }}
-  - [@{{$k}}](https://github.com/{{$k}}) ({{ range $index, $element := $v }}{{if $index}}, {{end}}{{$element}}{{end}})
-  {{- end }}
-  {{- end }}

.circleci/config.yml

@@ -0,0 +1,101 @@
+version: 2.1
+jobs:
+  build-wheels:
+    docker: &test_only
+      - image: fishtownanalytics/test-container:12
+        environment:
+          DBT_INVOCATION_ENV: circle
+          DOCKER_TEST_DATABASE_HOST: "database"
+          TOX_PARALLEL_NO_SPINNER: 1
+    steps:
+      - checkout
+      - run:
+          name: Build wheels
+          command: |
+            python3.8 -m venv "${PYTHON_ENV}"
+            export PYTHON_BIN="${PYTHON_ENV}/bin/python"
+            $PYTHON_BIN -m pip install -U pip setuptools
+            $PYTHON_BIN -m pip install -r requirements.txt
+            $PYTHON_BIN -m pip install -r dev-requirements.txt
+            /bin/bash ./scripts/build-wheels.sh
+            $PYTHON_BIN ./scripts/collect-dbt-contexts.py > ./dist/context_metadata.json
+            $PYTHON_BIN ./scripts/collect-artifact-schema.py > ./dist/artifact_schemas.json
+          environment:
+            PYTHON_ENV: /home/tox/build_venv/
+      - store_artifacts:
+          path: ./dist
+          destination: dist
+  integration-postgres:
+    docker:
+      - image: fishtownanalytics/test-container:12
+        environment:
+          DBT_INVOCATION_ENV: circle
+          DOCKER_TEST_DATABASE_HOST: "database"
+          TOX_PARALLEL_NO_SPINNER: 1
+      - image: postgres
+        name: database
+        environment:
+          POSTGRES_USER: "root"
+          POSTGRES_PASSWORD: "password"
+          POSTGRES_DB: "dbt"
+    steps:
+      - checkout
+      - run:
+          name: Setup postgres
+          command: bash test/setup_db.sh
+          environment:
+            PGHOST: database
+            PGUSER: root
+            PGPASSWORD: password
+            PGDATABASE: postgres
+      - run:
+          name: Postgres integration tests
+          command: tox -p -e py36-postgres,py38-postgres -- -v -n4
+          no_output_timeout: 30m
+      - store_artifacts:
+          path: ./logs
+  integration-snowflake:
+    docker: *test_only
+    steps:
+      - checkout
+      - run:
+          name: Snowflake integration tests
+          command: tox -p -e py36-snowflake,py38-snowflake -- -v -n4
+          no_output_timeout: 30m
+      - store_artifacts:
+          path: ./logs
+  integration-redshift:
+    docker: *test_only
+    steps:
+      - checkout
+      - run:
+          name: Redshift integration tests
+          command: tox -p -e py36-redshift,py38-redshift -- -v -n4
+          no_output_timeout: 30m
+      - store_artifacts:
+          path: ./logs
+  integration-bigquery:
+    docker: *test_only
+    steps:
+      - checkout
+      - run:
+          name: Bigquery integration test
+          command: tox -p -e py36-bigquery,py38-bigquery -- -v -n4
+          no_output_timeout: 30m
+      - store_artifacts:
+          path: ./logs
+
+workflows:
+  version: 2
+  test-everything:
+    jobs:
+      - integration-postgres
+      - integration-redshift
+      - integration-bigquery
+      - integration-snowflake
+      - build-wheels:
+          requires:
+            - integration-postgres
+            - integration-redshift
+            - integration-bigquery
+            - integration-snowflake

.flake8

@@ -1,14 +0,0 @@
-[flake8]
-select =
-    E
-    W
-    F
-ignore =
-    W503 # makes Flake8 work like black
-    W504
-    E203 # makes Flake8 work like black
-    E741
-    E501 # long line checking is done in black
-exclude = test/
-per-file-ignores =
-    */__init__.py: F401

.git-blame-ignore-revs

@@ -1,2 +0,0 @@
-# Reformatting dbt-core via black, flake8, mypy, and assorted pre-commit hooks.
-43e3fc22c4eae4d3d901faba05e33c40f1f1dc5a

.gitattributes

@@ -1,6 +0,0 @@
-core/dbt/task/docs/index.html binary
-tests/functional/artifacts/data/state/*/manifest.json binary
-core/dbt/docs/build/html/searchindex.js binary
-core/dbt/docs/build/html/index.html binary
-performance/runner/Cargo.lock binary
-core/dbt/events/types_pb2.py binary

.github/CODEOWNERS

@@ -1,18 +0,0 @@
-# This file contains the code owners for the dbt-core repo.
-# PRs will be automatically assigned for review to the associated
-# team(s) or person(s) that touches any files that are mapped to them.
-#
-# A statement takes precedence over the statements above it so more general
-# assignments are found at the top with specific assignments being lower in
-# the ordering (i.e. catch all assignment should be the first item)
-#
-# Consult GitHub documentation for formatting guidelines:
-# https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners#example-of-a-codeowners-file
-
-# As a default for areas with no assignment,
-# the core team as a whole will be assigned
-*       @dbt-labs/core-team
-
-### ARTIFACTS
-
-/schemas/dbt                    @dbt-labs/cloud-artifacts

.github/ISSUE_TEMPLATE/beta-minor-version-release.md

@@ -0,0 +1,27 @@
+---
+name: Beta minor version release
+about: Creates a tracking checklist of items for a Beta minor version release
+title: "[Tracking] v#.##.#B# release "
+labels: 'release'
+assignees: ''
+
+---
+
+### Release Core
+- [ ] [Engineering] Follow [dbt-release workflow](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#03ff37da697d4d8ba63d24fae1bfa817) 
+- [ ] [Engineering] Verify new release branch is created in the repo
+- [ ] [Product] Finalize migration guide (next.docs.getdbt.com)
+
+### Release Cloud
+- [ ] [Engineering] Create a platform issue to update dbt Cloud and verify it is completed. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Engineering] Determine if schemas have changed. If so, generate new schemas and push to schemas.getdbt.com
+
+### Announce
+- [ ] [Product] Announce in dbt Slack
+
+### Post-release
+- [ ] [Engineering] [Bump plugin versions](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#f01854e8da3641179fbcbe505bdf515c) (dbt-spark + dbt-presto), add compatibility as needed
+   - [ ]  [Spark](https://github.com/dbt-labs/dbt-spark) 
+   - [ ]  [Presto](https://github.com/dbt-labs/dbt-presto)
+- [ ] [Engineering] Create a platform issue to update dbt-spark versions to dbt Cloud. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Engineering] Create an epic for the RC release

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,97 +0,0 @@
-name: 🐞 Bug
-description: Report a bug or an issue you've found with dbt
-title: "[Bug] <title>"
-labels: ["bug", "triage"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking the time to fill out this bug report!
-  - type: checkboxes
-    attributes:
-      label: Is this a new bug in dbt-core?
-      description: >
-        In other words, is this an error, flaw, failure or fault in our software?
-
-        If this is a bug that broke existing functionality that used to work, please open a regression issue.
-        If this is a bug in an adapter plugin, please open an issue in the adapter's repository.
-        If this is a bug experienced while using dbt Cloud, please report to [support](mailto:support@getdbt.com).
-        If this is a request for help or troubleshooting code in your own dbt project, please join our [dbt Community Slack](https://www.getdbt.com/community/join-the-community/) or open a [Discussion question](https://github.com/dbt-labs/docs.getdbt.com/discussions).
-
-        Please search to see if an issue already exists for the bug you encountered.
-      options:
-        - label: I believe this is a new bug in dbt-core
-          required: true
-        - label: I have searched the existing issues, and I could not find an existing issue for this bug
-          required: true
-  - type: textarea
-    attributes:
-      label: Current Behavior
-      description: A concise description of what you're experiencing.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Expected Behavior
-      description: A concise description of what you expected to happen.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Steps To Reproduce
-      description: Steps to reproduce the behavior.
-      placeholder: |
-        1. In this environment...
-        2. With this config...
-        3. Run '...'
-        4. See error...
-    validations:
-      required: true
-  - type: textarea
-    id: logs
-    attributes:
-      label: Relevant log output
-      description: |
-        If applicable, log output to help explain your problem.
-      render: shell
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Environment
-      description: |
-        examples:
-          - **OS**: Ubuntu 20.04
-          - **Python**: 3.9.12 (`python3 --version`)
-          - **dbt-core**: 1.1.1 (`dbt --version`)
-      value: |
-        - OS:
-        - Python:
-        - dbt:
-      render: markdown
-    validations:
-      required: false
-  - type: dropdown
-    id: database
-    attributes:
-      label: Which database adapter are you using with dbt?
-      description: If the bug is specific to the database or adapter, please open the issue in that adapter's repository instead
-      multiple: true
-      options:
-        - postgres
-        - redshift
-        - snowflake
-        - bigquery
-        - spark
-        - other (mention it in "Additional Context")
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Additional Context
-      description: |
-        Links? References? Anything that will give us more context about the issue you are encountering!
-
-        Tip: You can attach images or log files by clicking this area to highlight it and then dragging files in.
-    validations:
-      required: false

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,41 @@
+---
+name: Bug report
+about: Report a bug or an issue you've found with dbt
+title: ''
+labels: bug, triage
+assignees: ''
+
+---
+
+### Describe the bug
+A clear and concise description of what the bug is. What command did you run? What happened?
+
+### Steps To Reproduce
+In as much detail as possible, please provide steps to reproduce the issue. Sample data that triggers the issue, example model code, etc is all very helpful here.
+
+### Expected behavior
+A clear and concise description of what you expected to happen.
+
+### Screenshots and log output
+If applicable, add screenshots or log output to help explain your problem.
+
+### System information
+**Which database are you using dbt with?**
+- [ ] postgres
+- [ ] redshift
+- [ ] bigquery
+- [ ] snowflake
+- [ ] other (specify: ____________)
+
+
+**The output of `dbt --version`:**
+```
+<output goes here>
+```
+
+**The operating system you're using:**
+
+**The output of `python --version`:**
+
+### Additional context
+Add any other context about the problem here.

.github/ISSUE_TEMPLATE/config.yml

@@ -1,23 +0,0 @@
-blank_issues_enabled: false
-contact_links:
-  - name: Ask the community for help
-    url: https://github.com/dbt-labs/docs.getdbt.com/discussions
-    about: Need help troubleshooting? Check out our guide on how to ask
-  - name: Contact dbt Cloud support
-    url: mailto:support@getdbt.com
-    about: Are you using dbt Cloud? Contact our support team for help!
-  - name: Participate in Discussions
-    url: https://github.com/dbt-labs/dbt-core/discussions
-    about: Do you have a Big Idea for dbt? Read open discussions, or start a new one
-  - name: Create an issue for dbt-redshift
-    url: https://github.com/dbt-labs/dbt-redshift/issues/new/choose
-    about: Report a bug or request a feature for dbt-redshift
-  - name: Create an issue for dbt-bigquery
-    url: https://github.com/dbt-labs/dbt-bigquery/issues/new/choose
-    about: Report a bug or request a feature for dbt-bigquery
-  - name: Create an issue for dbt-snowflake
-    url: https://github.com/dbt-labs/dbt-snowflake/issues/new/choose
-    about: Report a bug or request a feature for dbt-snowflake
-  - name: Create an issue for dbt-spark
-    url: https://github.com/dbt-labs/dbt-spark/issues/new/choose
-    about: Report a bug or request a feature for dbt-spark

.github/ISSUE_TEMPLATE/feature-request.yml

@@ -1,59 +0,0 @@
-name: ✨ Feature
-description: Propose a straightforward extension of dbt functionality
-title: "[Feature] <title>"
-labels: ["enhancement", "triage"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking the time to fill out this feature request!
-  - type: checkboxes
-    attributes:
-      label: Is this your first time submitting a feature request?
-      description: >
-        We want to make sure that features are distinct and discoverable,
-        so that other members of the community can find them and offer their thoughts.
-
-        Issues are the right place to request straightforward extensions of existing dbt functionality.
-        For "big ideas" about future capabilities of dbt, we ask that you open a
-        [discussion](https://github.com/dbt-labs/dbt-core/discussions) in the "Ideas" category instead.
-      options:
-        - label: I have read the [expectations for open source contributors](https://docs.getdbt.com/docs/contributing/oss-expectations)
-          required: true
-        - label: I have searched the existing issues, and I could not find an existing issue for this feature
-          required: true
-        - label: I am requesting a straightforward extension of existing dbt functionality, rather than a Big Idea better suited to a discussion
-          required: true
-  - type: textarea
-    attributes:
-      label: Describe the feature
-      description: A clear and concise description of what you want to happen.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Describe alternatives you've considered
-      description: |
-        A clear and concise description of any alternative solutions or features you've considered.
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Who will this benefit?
-      description: |
-        What kind of use case will this feature be useful for? Please be specific and provide examples, this will help us prioritize properly.
-    validations:
-      required: false
-  - type: input
-    attributes:
-      label: Are you interested in contributing this feature?
-      description: Let us know if you want to write some code, and how we can help.
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Anything else?
-      description: |
-        Links? References? Anything that will give us more context about the feature you are suggesting!
-    validations:
-      required: false

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,23 @@
+---
+name: Feature request
+about: Suggest an idea for dbt
+title: ''
+labels: enhancement, triage
+assignees: ''
+
+---
+
+### Describe the feature
+A clear and concise description of what you want to happen.
+
+### Describe alternatives you've considered
+A clear and concise description of any alternative solutions or features you've considered.
+
+### Additional context
+Is this feature database-specific? Which database(s) is/are relevant? Please include any other relevant context here.
+
+### Who will this benefit?
+What kind of use case will this feature be useful for? Please be specific and provide examples, this will help us prioritize properly.
+
+### Are you interested in contributing this feature?
+Let us know if you want to write some code, and how we can help.

.github/ISSUE_TEMPLATE/final-minor-version-release.md

@@ -0,0 +1,28 @@
+---
+name: Final minor version release
+about: Creates a tracking checklist of items for a final minor version release
+title: "[Tracking] v#.##.# final release "
+labels: 'release'
+assignees: ''
+
+---
+
+### Release Core
+- [ ] [Engineering] Verify all necessary changes exist on the release branch
+- [ ] [Engineering] Follow [dbt-release workflow](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#03ff37da697d4d8ba63d24fae1bfa817) 
+- [ ] [Product] Merge `next` into `current` for docs.getdbt.com
+
+### Release Cloud
+- [ ] [Engineering] Create a platform issue to update dbt Cloud and verify it is completed. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Engineering] Determine if schemas have changed. If so, generate new schemas and push to schemas.getdbt.com
+
+### Announce
+- [ ] [Product] Update discourse
+- [ ] [Product] Announce in dbt Slack
+
+### Post-release
+- [ ] [Engineering] [Bump plugin versions](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#f01854e8da3641179fbcbe505bdf515c) (dbt-spark + dbt-presto), add compatibility as needed
+   - [ ]  [Spark](https://github.com/dbt-labs/dbt-spark) 
+   - [ ]  [Presto](https://github.com/dbt-labs/dbt-presto)
+- [ ] [Engineering] Create a platform issue to update dbt-spark versions to dbt Cloud. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Product] Release new version of dbt-utils with new dbt version compatibility. If there are breaking changes requiring a minor version, plan upgrades of other packages that depend on dbt-utils.

.github/ISSUE_TEMPLATE/implementation-ticket.yml

@@ -1,67 +0,0 @@
-name: 🛠️ Implementation
-description: This is an implementation ticket intended for use by the maintainers of dbt-core
-title: "[<project>] <title>"
-labels: ["user docs"]
-body:
-  - type: markdown
-    attributes:
-      value: This is an implementation ticket intended for use by the maintainers of dbt-core
-  - type: checkboxes
-    attributes:
-      label: Housekeeping
-      description: >
-        A couple friendly reminders:
-          1. Remove the `user docs` label if the scope of this work does not require changes to https://docs.getdbt.com/docs: no end-user interface (e.g. yml spec, CLI, error messages, etc) or functional changes
-          2. Link any blocking issues in the "Blocked on" field under the "Core devs & maintainers" project.
-      options:
-        - label: I am a maintainer of dbt-core
-          required: true
-  - type: textarea
-    attributes:
-      label: Short description
-      description: |
-        Describe the scope of the ticket, a high-level implementation approach and any tradeoffs to consider
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Acceptance criteria
-      description: |
-        What is the definition of done for this ticket? Include any relevant edge cases and/or test cases
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Suggested Tests
-      description: |
-        Provide scenarios to test.  Link to existing similar tests if appropriate.
-      placeholder: |
-         1. Test with no version specified in the schema file and use selection logic on a versioned model for a specific version.  Expect pass.
-         2. Test with a version specified in the schema file that is no valid.  Expect ParsingError.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Impact to Other Teams
-      description: |
-        Will this change impact other teams?  Include details of the kinds of changes required (new tests, code changes, related tickets) and _add the relevant `Impact:[team]` label_.
-      placeholder: |
-        Example: This change impacts `dbt-redshift` because the tests will need to be modified.  The `Impact:[Adapter]` label has been added.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Will backports be required?
-      description: |
-        Will this change need to be backported to previous versions?  Add details, possible blockers to backporting and _add the relevant backport labels `backport 1.x.latest`_
-      placeholder: |
-        Example: Backport to 1.6.latest, 1.5.latest and 1.4.latest.  Since 1.4 isn't using click, the backport may be complicated. The `backport 1.6.latest`, `backport 1.5.latest` and `backport 1.4.latest` labels have been added.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Context
-      description: |
-        Provide the "why", motivation, and alternative approaches considered -- linking to previous refinement issues, spikes and documentation as appropriate
-    validations:
-      required: false

.github/ISSUE_TEMPLATE/rc-minor-version-release copy.md

@@ -0,0 +1,29 @@
+---
+name: RC minor version release
+about: Creates a tracking checklist of items for a RC minor version release
+title: "[Tracking] v#.##.#RC# release "
+labels: 'release'
+assignees: ''
+
+---
+
+### Release Core
+- [ ] [Engineering] Verify all necessary changes exist on the release branch
+- [ ] [Engineering] Follow [dbt-release workflow](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#03ff37da697d4d8ba63d24fae1bfa817) 
+- [ ] [Product] Update migration guide (next.docs.getdbt.com)
+
+### Release Cloud
+- [ ] [Engineering] Create a platform issue to update dbt Cloud and verify it is completed. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Engineering] Determine if schemas have changed. If so, generate new schemas and push to schemas.getdbt.com
+
+### Announce
+- [ ] [Product] Publish discourse
+- [ ] [Product] Announce in dbt Slack
+
+### Post-release
+- [ ] [Engineering] [Bump plugin versions](https://www.notion.so/dbtlabs/Releasing-b97c5ea9a02949e79e81db3566bbc8ef#f01854e8da3641179fbcbe505bdf515c) (dbt-spark + dbt-presto), add compatibility as needed
+   - [ ]  [Spark](https://github.com/dbt-labs/dbt-spark) 
+   - [ ]  [Presto](https://github.com/dbt-labs/dbt-presto)
+- [ ] [Engineering] Create a platform issue to update dbt-spark versions to dbt Cloud. [Example issue](https://github.com/dbt-labs/dbt-cloud/issues/3481)
+- [ ] [Product] Release new version of dbt-utils with new dbt version compatibility. If there are breaking changes requiring a minor version, plan upgrades of other packages that depend on dbt-utils.
+- [ ] [Engineering] Create an epic for the final release

.github/ISSUE_TEMPLATE/regression-report.yml

@@ -1,93 +0,0 @@
-name: ☣️ Regression
-description: Report a regression you've observed in a newer version of dbt
-title: "[Regression] <title>"
-labels: ["bug", "regression", "triage"]
-body:
-  - type: markdown
-    attributes:
-      value: |
-        Thanks for taking the time to fill out this regression report!
-  - type: checkboxes
-    attributes:
-      label: Is this a regression in a recent version of dbt-core?
-      description: >
-        A regression is when documented functionality works as expected in an older version of dbt-core,
-        and no longer works after upgrading to a newer version of dbt-core
-      options:
-        - label: I believe this is a regression in dbt-core functionality
-          required: true
-        - label: I have searched the existing issues, and I could not find an existing issue for this regression
-          required: true
-  - type: textarea
-    attributes:
-      label: Current Behavior
-      description: A concise description of what you're experiencing.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Expected/Previous Behavior
-      description: A concise description of what you expected to happen.
-    validations:
-      required: true
-  - type: textarea
-    attributes:
-      label: Steps To Reproduce
-      description: Steps to reproduce the behavior.
-      placeholder: |
-        1. In this environment...
-        2. With this config...
-        3. Run '...'
-        4. See error...
-    validations:
-      required: true
-  - type: textarea
-    id: logs
-    attributes:
-      label: Relevant log output
-      description: |
-        If applicable, log output to help explain your problem.
-      render: shell
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Environment
-      description: |
-        examples:
-          - **OS**: Ubuntu 20.04
-          - **Python**: 3.9.12 (`python3 --version`)
-          - **dbt-core (working version)**: 1.1.1 (`dbt --version`)
-          - **dbt-core (regression version)**: 1.2.0 (`dbt --version`)
-      value: |
-        - OS:
-        - Python:
-        - dbt (working version):
-        - dbt (regression version):
-      render: markdown
-    validations:
-      required: true
-  - type: dropdown
-    id: database
-    attributes:
-      label: Which database adapter are you using with dbt?
-      description: If the regression is specific to the database or adapter, please open the issue in that adapter's repository instead
-      multiple: true
-      options:
-        - postgres
-        - redshift
-        - snowflake
-        - bigquery
-        - spark
-        - other (mention it in "Additional Context")
-    validations:
-      required: false
-  - type: textarea
-    attributes:
-      label: Additional Context
-      description: |
-        Links? References? Anything that will give us more context about the issue you are encountering!
-
-        Tip: You can attach images or log files by clicking this area to highlight it and then dragging files in.
-    validations:
-      required: false

.github/_README.md

@@ -1,217 +0,0 @@
-<!-- GitHub will publish this readme on the main repo page if the name is `README.md` so we've added the leading underscore to prevent this -->
-<!-- Do not rename this file `README.md` -->
-<!-- See https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-readmes -->
-
-## What are GitHub Actions?
-
-GitHub Actions are used for many different purposes.  We use them to run tests in CI, validate PRs are in an expected state, and automate processes.
-
-- [Overview of GitHub Actions](https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions)
-- [What's a workflow?](https://docs.github.com/en/actions/using-workflows/about-workflows)
-- [GitHub Actions guides](https://docs.github.com/en/actions/guides)
-
-___
-
-## Where do actions and workflows live
-
-We try to maintain actions that are shared across repositories in a single place so that necesary changes can be made in a single place.
-
-[dbt-labs/actions](https://github.com/dbt-labs/actions/) is the central repository of actions and workflows we use across repositories.
-
-GitHub Actions also live locally within a repository.  The workflows can be found at `.github/workflows` from the root of the repository.  These should be specific to that code base.
-
-Note: We are actively moving actions into the central Action repository so there is currently some duplication across repositories.
-
-___
-
-## Basics of Using Actions
-
-### Viewing Output
-
-- View the detailed action output for your PR in the **Checks** tab of the PR.  This only shows the most recent run.  You can also view high level **Checks** output at the bottom on the PR.
-
-- View _all_ action output for a repository from the [**Actions**](https://github.com/dbt-labs/dbt-core/actions) tab.  Workflow results last 1 year.  Artifacts last 90 days, unless specified otherwise in individual workflows.
-
-  This view often shows what seem like duplicates of the same workflow.  This occurs when files are renamed but the workflow name has not changed.  These are in fact _not_ duplicates.
-
-  You can see the branch the workflow runs from in this view.  It is listed in the table between the workflow name and the time/duration of the run.  When blank, the workflow is running in the context of the  `main` branch.
-
-### How to view what workflow file is being referenced from a run
-
-- When viewing the output of a specific workflow run, click the 3 dots at the top right of the display.  There will be an option to `View workflow file`.
-
-### How to manually run a workflow
-
-- If a workflow has the `on: workflow_dispatch` trigger, it can be manually triggered
-- From the [**Actions**](https://github.com/dbt-labs/dbt-core/actions) tab, find the workflow you want to run, select it and fill in any inputs requied.  That's it!
-
-### How to re-run jobs
-
-- From the UI you can rerun from failure
-- You can retrigger the cla check by commenting on the PR with `@cla-bot check`
-
-___
-
-## General Standards
-
-### Permissions
-- By default, workflows have read permissions in the repository for the contents scope only when no permissions are explicitly set.
-- It is best practice to always define the permissions explicitly.  This will allow actions to continue to work when the default permissions on the repository are changed.  It also allows explicit grants of the least permissions possible.
-- There are a lot of permissions available.  [Read up on them](https://docs.github.com/en/actions/using-jobs/assigning-permissions-to-jobs) if you're unsure what to use.
-
-```yaml
-permissions:
-  contents: read
-  pull-requests: write
-```
-
-### Secrets
-- When to use a [Personal Access Token (PAT)](https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/creating-a-personal-access-token) vs the [GITHUB_TOKEN](https://docs.github.com/en/actions/security-guides/automatic-token-authentication) generated for the action?
-
-    The `GITHUB_TOKEN` is used by default.  In most cases it is sufficient for what you need.
-
-    If you expect the workflow to result in a commit to that should retrigger workflows, you will need to use a Personal Access Token for the bot to commit the file. When using the GITHUB_TOKEN, the resulting commit will not trigger another GitHub Actions Workflow run. This is due to limitations set by GitHub. See [the docs](https://docs.github.com/en/actions/security-guides/automatic-token-authentication#using-the-github_token-in-a-workflow) for a more detailed explanation.
-
-    For example, we must use a PAT in our workflow to commit a new changelog yaml file for bot PRs.  Once the file has been committed to the branch, it should retrigger the check to validate that a changelog exists on the PR.  Otherwise, it would stay in a failed state since the check would never retrigger.
-
-### Triggers
-You can configure your workflows to run when specific activity on GitHub happens, at a scheduled time, or when an event outside of GitHub occurs.  Read more details in the [GitHub docs](https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows).
-
-These triggers are under the `on` key of the workflow and more than one can be listed.
-
-```yaml
-on:
-  push:
-    branches:
-      - "main"
-      - "*.latest"
-      - "releases/*"
-  pull_request:
-    # catch when the PR is opened with the label or when the label is added
-    types: [opened, labeled]
-  workflow_dispatch:
-```
-
-Some triggers of note that we use:
-
-- `push` - Runs your workflow when you push a commit or tag.
-- `pull_request` - Runs your workflow when activity on a pull request in the workflow's repository occurs.  Takes in a list of activity types (opened, labeled, etc) if appropriate.
-- `pull_request_target` - Same as `pull_request` but runs in the context of the PR target branch.
-- `workflow_call` - used with reusable workflows.  Triggered by another workflow calling it.
-- `workflow_dispatch` - Gives the ability to manually trigger a workflow from the GitHub API, GitHub CLI, or GitHub browser interface.
-
-
-### Basic Formatting
-- Add a description of what your workflow does at the top in this format
-
-  ```
-  # **what?**
-  # Describe what the action does.
-
-  # **why?**
-  # Why does this action exist?
-
-  # **when?**
-  # How/when will it be triggered?
-  ```
-
-- Leave blank lines between steps and jobs
-
-  ```yaml
-  jobs:
-    dependency_changelog:
-      runs-on: ubuntu-latest
-
-      steps:
-      - name: Get File Name Timestamp
-        id: filename_time
-        uses: nanzm/get-time-action@v1.1
-        with:
-          format: 'YYYYMMDD-HHmmss'
-
-      - name: Get File Content Timestamp
-        id: file_content_time
-        uses: nanzm/get-time-action@v1.1
-        with:
-          format: 'YYYY-MM-DDTHH:mm:ss.000000-05:00'
-
-      - name: Generate Filepath
-        id: fp
-        run: |
-          FILEPATH=.changes/unreleased/Dependencies-${{ steps.filename_time.outputs.time }}.yaml
-          echo "FILEPATH=$FILEPATH" >> $GITHUB_OUTPUT
-  ```
-
-- Print out all variables you will reference as the first step of a job.  This allows for easier debugging.  The first job should log all inputs.  Subsequent jobs should reference outputs of other jobs, if present.
-
-  When possible, generate variables at the top of your workflow in a single place to reference later.  This is not always strictly possible since you may generate a value to be used later mid-workflow.
-
-  Be sure to use quotes around these logs so special characters are not interpreted.
-
-  ```yaml
-  job1:
-    - name: "[DEBUG] Print Variables"
-      run: |
-        echo "all variables defined as inputs"
-        echo "The last commit sha in the release: ${{ inputs.sha }}"
-        echo "The release version number:         ${{ inputs.version_number }}"
-        echo "The changelog_path:                 ${{ inputs.changelog_path }}"
-        echo "The build_script_path:              ${{ inputs.build_script_path }}"
-        echo "The s3_bucket_name:                 ${{ inputs.s3_bucket_name }}"
-        echo "The package_test_command:           ${{ inputs.package_test_command }}"
-
-    # collect all the variables that need to be used in subsequent jobs
-    - name: Set Variables
-      id: variables
-      run: |
-        echo "important_path='performance/runner/Cargo.toml'" >> $GITHUB_OUTPUT
-        echo "release_id=${{github.event.inputs.release_id}}" >> $GITHUB_OUTPUT
-        echo "open_prs=${{github.event.inputs.open_prs}}" >> $GITHUB_OUTPUT
-
-  job2:
-    needs: [job1]
-      - name: "[DEBUG] Print Variables"
-      run: |
-        echo "all variables defined in job1 > Set Variables > outputs"
-        echo "important_path: ${{ needs.job1.outputs.important_path }}"
-        echo "release_id:     ${{ needs.job1.outputs.release_id }}"
-        echo "open_prs:       ${{ needs.job1.outputs.open_prs }}"
-  ```
-
-- When it's not obvious what something does, add a comment!
-
-___
-
-## Tips
-
-### Context
-- The [GitHub CLI](https://cli.github.com/) is available in the default runners
-- Actions run in your context.  ie, using an action from the marketplace that uses the GITHUB_TOKEN uses the GITHUB_TOKEN generated by your workflow run.
-
-### Actions from the Marketplace
-- Don’t use external actions for things that can easily be accomplished manually.
-- Always read through what an external action does before using it!  Often an action in the GitHub Actions Marketplace can be replaced with a few lines in bash.  This is much more maintainable (and won’t change under us) and clear as to what’s actually happening.  It also prevents any
-- Pin actions _we don't control_ to tags.
-
-### Connecting to AWS
-- Authenticate with the aws managed workflow
-
-  ```yaml
-  - name: Configure AWS credentials from Test account
-    uses: aws-actions/configure-aws-credentials@v2
-    with:
-      aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-      aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-      aws-region: us-east-1
-  ```
-
-- Then access with the aws command that comes installed on the action runner machines
-
-  ```yaml
-  - name: Copy Artifacts from S3 via CLI
-    run: aws s3 cp ${{ env.s3_bucket }} . --recursive
-  ```
-
-### Testing
-
-- Depending on what your action does, you may be able to use [`act`](https://github.com/nektos/act) to test the action locally.  Some features of GitHub Actions do not work with `act`, among those are reusable workflows.  If you can't use `act`, you'll have to push your changes up before being able to test.  This can be slow.

.github/actions/latest-wrangler/Dockerfile

@@ -1,14 +0,0 @@
-FROM python:3-slim AS builder
-ADD . /app
-WORKDIR /app
-
-# We are installing a dependency here directly into our app source dir
-RUN pip install --target=/app requests packaging
-
-# A distroless container image with Python and some basics like SSL certificates
-# https://github.com/GoogleContainerTools/distroless
-FROM gcr.io/distroless/python3-debian10
-COPY --from=builder /app /app
-WORKDIR /app
-ENV PYTHONPATH /app
-CMD ["/app/main.py"]

.github/actions/latest-wrangler/README.md

@@ -1,50 +0,0 @@
-# Github package 'latest' tag wrangler for containers
-## Usage
-
-Plug in the necessary inputs to determine if the container being built should be tagged 'latest; at the package level, for example `dbt-redshift:latest`.
-
-## Inputs
-| Input | Description |
-| - | - |
-| `package` | Name of the GH package to check against |
-| `new_version` | Semver of new container |
-| `gh_token` | GH token with package read scope|
-| `halt_on_missing` | Return non-zero exit code if requested package does not exist. (defaults to false)|
-
-
-## Outputs
-| Output | Description |
-| - | - |
-| `latest` | Wether or not the new container should be tagged 'latest'|
-| `minor_latest` | Wether or not the new container should be tagged major.minor.latest |
-
-## Example workflow
-```yaml
-name: Ship it!
-on:
-  workflow_dispatch:
-    inputs:
-      package:
-       description: The package to publish
-       required: true
-      version_number:
-       description: The version number
-       required: true
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v3
-    - name: Wrangle latest tag
-      id: is_latest
-      uses: ./.github/actions/latest-wrangler
-      with:
-        package: ${{ github.event.inputs.package }}
-        new_version: ${{ github.event.inputs.new_version }}
-        gh_token: ${{ secrets.GITHUB_TOKEN }}
-    - name: Print the results
-      run: |
-        echo "Is it latest?  Survey says: ${{ steps.is_latest.outputs.latest }} !"
-        echo "Is it minor.latest?  Survey says: ${{ steps.is_latest.outputs.minor_latest }} !"
-```

.github/actions/latest-wrangler/action.yml

@@ -1,21 +0,0 @@
-name: "GitHub package `latest` tag wrangler for containers"
-description: "Determines if the published image should include `latest` tags"
-
-inputs:
-  package_name:
-    description: "Package being published (i.e. `dbt-core`, `dbt-redshift`, etc.)"
-    required: true
-  new_version:
-    description: "SemVer of the package being published (i.e. 1.7.2, 1.8.0a1, etc.)"
-    required: true
-  github_token:
-    description: "Auth token for GitHub (must have view packages scope)"
-    required: true
-
-outputs:
-  tags:
-    description: "A list of tags to associate with this version"
-
-runs:
-  using: "docker"
-  image: "Dockerfile"

.github/actions/latest-wrangler/examples/example_workflow.yml

@@ -1,26 +0,0 @@
-name: Ship it!
-on:
-  workflow_dispatch:
-    inputs:
-      package:
-       description: The package to publish
-       required: true
-      version_number:
-       description: The version number
-       required: true
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    steps:
-    - uses: actions/checkout@v3
-    - name: Wrangle latest tag
-      id: is_latest
-      uses: ./.github/actions/latest-wrangler
-      with:
-        package: ${{ github.event.inputs.package }}
-        new_version: ${{ github.event.inputs.new_version }}
-        gh_token: ${{ secrets.GITHUB_TOKEN }}
-    - name: Print the results
-      run: |
-        echo "Is it latest?  Survey says: ${{ steps.is_latest.outputs.latest }} !"

.github/actions/latest-wrangler/examples/example_workflow_dispatch.json

@@ -1,6 +0,0 @@
-{
-    "inputs": {
-      "version_number": "1.0.1",
-      "package": "dbt-redshift"
-    }
-}

.github/actions/latest-wrangler/main.py

@@ -1,71 +0,0 @@
-import os
-from packaging.version import Version, parse
-import requests
-import sys
-from typing import List
-
-
-def main():
-    package_name: str = os.environ["INPUT_PACKAGE_NAME"]
-    new_version: Version = parse(os.environ["INPUT_NEW_VERSION"])
-    github_token: str = os.environ["INPUT_GITHUB_TOKEN"]
-
-    response = _package_metadata(package_name, github_token)
-    published_versions = _published_versions(response)
-    new_version_tags = _new_version_tags(new_version, published_versions)
-    _register_tags(new_version_tags, package_name)
-
-
-def _package_metadata(package_name: str, github_token: str) -> requests.Response:
-    url = f"https://api.github.com/orgs/dbt-labs/packages/container/{package_name}/versions"
-    return requests.get(url, auth=("", github_token))
-
-
-def _published_versions(response: requests.Response) -> List[Version]:
-    package_metadata = response.json()
-    return [
-        parse(tag)
-        for version in package_metadata
-        for tag in version["metadata"]["container"]["tags"]
-        if "latest" not in tag
-    ]
-
-
-def _new_version_tags(new_version: Version, published_versions: List[Version]) -> List[str]:
-    # the package version is always a tag
-    tags = [str(new_version)]
-
-    # pre-releases don't get tagged with `latest`
-    if new_version.is_prerelease:
-        return tags
-
-    if new_version > max(published_versions):
-        tags.append("latest")
-
-    published_patches = [
-        version
-        for version in published_versions
-        if version.major == new_version.major and version.minor == new_version.minor
-    ]
-    if new_version > max(published_patches):
-        tags.append(f"{new_version.major}.{new_version.minor}.latest")
-
-    return tags
-
-
-def _register_tags(tags: List[str], package_name: str) -> None:
-    fully_qualified_tags = ",".join([f"ghcr.io/dbt-labs/{package_name}:{tag}" for tag in tags])
-    github_output = os.environ.get("GITHUB_OUTPUT")
-    with open(github_output, "at", encoding="utf-8") as gh_output:
-        gh_output.write(f"fully_qualified_tags={fully_qualified_tags}")
-
-
-def _validate_response(response: requests.Response) -> None:
-    message = response["message"]
-    if response.status_code != 200:
-        print(f"Call to GitHub API failed: {response.status_code} - {message}")
-        sys.exit(1)
-
-
-if __name__ == "__main__":
-    main()

.github/actions/setup-postgres-linux/action.yml

@@ -1,10 +0,0 @@
-name: "Set up postgres (linux)"
-description: "Set up postgres service on linux vm for dbt integration tests"
-runs:
-  using: "composite"
-  steps:
-    - shell: bash
-      run: |
-        sudo systemctl start postgresql.service
-        pg_isready
-        sudo -u postgres bash ${{ github.action_path }}/setup_db.sh

.github/actions/setup-postgres-linux/setup_db.sh

@@ -1 +0,0 @@
-../../../test/setup_db.sh

.github/actions/setup-postgres-macos/action.yml

@@ -1,24 +0,0 @@
-name: "Set up postgres (macos)"
-description: "Set up postgres service on macos vm for dbt integration tests"
-runs:
-  using: "composite"
-  steps:
-    - shell: bash
-      run: |
-        brew services start postgresql
-        echo "Check PostgreSQL service is running"
-        i=10
-        COMMAND='pg_isready'
-        while [ $i -gt -1 ]; do
-            if [ $i == 0 ]; then
-                echo "PostgreSQL service not ready, all attempts exhausted"
-                exit 1
-            fi
-            echo "Check PostgreSQL service status"
-            eval $COMMAND && break
-            echo "PostgreSQL service not ready, wait 10 more sec, attempts left: $i"
-            sleep 10
-            ((i--))
-        done
-        createuser -s postgres
-        bash ${{ github.action_path }}/setup_db.sh

.github/actions/setup-postgres-macos/setup_db.sh

@@ -1 +0,0 @@
-../../../test/setup_db.sh

.github/actions/setup-postgres-windows/action.yml

@@ -1,12 +0,0 @@
-name: "Set up postgres (windows)"
-description: "Set up postgres service on windows vm for dbt integration tests"
-runs:
-  using: "composite"
-  steps:
-    - shell: pwsh
-      run: |
-        $pgService = Get-Service -Name postgresql*
-        Set-Service -InputObject $pgService -Status running -StartupType automatic
-        Start-Process -FilePath "$env:PGBIN\pg_isready" -Wait -PassThru
-        $env:Path += ";$env:PGBIN"
-        bash ${{ github.action_path }}/setup_db.sh

.github/actions/setup-postgres-windows/setup_db.sh

@@ -1 +0,0 @@
-../../../test/setup_db.sh

.github/dependabot.yml

@@ -11,6 +11,26 @@ updates:
     schedule:
       interval: "daily"
     rebase-strategy: "disabled"
+  - package-ecosystem: "pip"
+    directory: "/plugins/bigquery"
+    schedule:
+      interval: "daily"
+    rebase-strategy: "disabled"
+  - package-ecosystem: "pip"
+    directory: "/plugins/postgres"
+    schedule:
+      interval: "daily"
+    rebase-strategy: "disabled"
+  - package-ecosystem: "pip"
+    directory: "/plugins/redshift"
+    schedule:
+      interval: "daily"
+    rebase-strategy: "disabled"
+  - package-ecosystem: "pip"
+    directory: "/plugins/snowflake"
+    schedule:
+      interval: "daily"
+    rebase-strategy: "disabled"
 
   # docker dependencies
   - package-ecosystem: "docker"
@@ -23,10 +43,3 @@ updates:
     schedule:
       interval: "weekly"
     rebase-strategy: "disabled"
-
-  # github dependencies
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    schedule:
-      interval: "weekly"
-    rebase-strategy: "disabled"

.github/pull_request_template.md

@@ -5,29 +5,18 @@ resolves #
   PRs for code changes without an associated issue *will not be merged*.
   See CONTRIBUTING.md for more information.
 
-  Add the `user docs` label to this PR if it will need docs changes.  An 
-  issue will get opened in docs.getdbt.com upon successful merge of this PR.
+  Example:
+    resolves #1234
 -->
 
-### Problem
 
-<!---
-  Describe the problem this PR is solving. What is the application state
-  before this PR is merged?
--->
+### Description
 
-### Solution
+<!--- Describe the Pull Request here -->
 
-<!---
-  Describe the way this PR solves the above problem. Add as much detail as you
-  can to help reviewers understand your changes. Include any alternatives and
-  tradeoffs you considered.
--->
 
 ### Checklist
-
-- [ ] I have read [the contributing guide](https://github.com/dbt-labs/dbt-core/blob/main/CONTRIBUTING.md) and understand what's expected of me  
-- [ ] I have run this code in development and it appears to resolve the stated issue  
-- [ ] This PR includes tests, or tests are not required/relevant for this PR
-- [ ] This PR has no interface changes (e.g. macros, cli, logs, json artifacts, config files, adapter interface, etc) or this PR has already received feedback and approval from Product or DX
-- [ ] This PR includes [type annotations](https://docs.python.org/3/library/typing.html) for new and modified functions
+ - [ ] I have signed the [CLA](https://docs.getdbt.com/docs/contributor-license-agreements)
+ - [ ] I have run this code in development and it appears to resolve the stated issue
+ - [ ] This PR includes tests, or tests are not required/relevant for this PR
+ - [ ] I have updated the `CHANGELOG.md` and added information about my change to the "dbt next" section.

.github/workflows/backport.yml

@@ -1,40 +0,0 @@
-# **what?**
-# When a PR is merged, if it has the backport label, it will create
-# a new PR to backport those changes to the given branch. If it can't
-# cleanly do a backport, it will comment on the merged PR of the failure.
-#
-# Label naming convention: "backport <branch name to backport to>"
-# Example: backport 1.0.latest
-#
-# You MUST "Squash and merge" the original PR or this won't work.
-
-# **why?**
-# Changes sometimes need to be backported to release branches.
-# This automates the backporting process
-
-# **when?**
-# Once a PR is "Squash and merge"'d, by adding a backport label, this is triggered
-
-name: Backport
-on:
-  pull_request:
-    types:
-      - labeled
-
-permissions:
-  contents: write
-  pull-requests: write
-
-jobs:
-  backport:
-    name: Backport
-    runs-on: ubuntu-latest
-    # Only react to merged PRs for security reasons.
-    # See https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#pull_request_target.
-    if: >
-      github.event.pull_request.merged
-      && contains(github.event.label.name, 'backport')
-    steps:
-      - uses: tibdex/backport@v2.0.4
-        with:
-          github_token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/bot-changelog.yml

@@ -1,59 +0,0 @@
-# **what?**
-# When bots create a PR, this action will add a corresponding changie yaml file to that
-# PR when a specific label is added.
-#
-# The file is created off a template:
-#
-# kind: <per action matrix>
-# body: <PR title>
-# time: <current timestamp>
-# custom:
-#   Author: <PR User Login (generally the bot)>
-#   Issue: 4904
-#   PR: <PR number>
-#
-# **why?**
-# Automate changelog generation for more visability with automated bot PRs.
-#
-# **when?**
-# Once a PR is created, label should be added to PR before or after creation. You can also
-#  manually trigger this by adding the appropriate label at any time.
-#
-# **how to add another bot?**
-# Add the label and changie kind to the include matrix.  That's it!
-#
-
-name: Bot Changelog
-
-on:
-  pull_request:
-    # catch when the PR is opened with the label or when the label is added
-    types: [labeled]
-
-permissions:
-  contents: write
-  pull-requests: read
-
-jobs:
-  generate_changelog:
-    strategy:
-      matrix:
-        include:
-          - label: "dependencies"
-            changie_kind: "Dependencies"
-    runs-on: ubuntu-latest
-
-    steps:
-
-    - name: Create and commit changelog on bot PR
-      if: ${{ contains(github.event.pull_request.labels.*.name, matrix.label) }}
-      id: bot_changelog
-      uses: emmyoop/changie_bot@v1.1.0
-      with:
-        GITHUB_TOKEN: ${{ secrets.FISHTOWN_BOT_PAT }}
-        commit_author_name: "Github Build Bot"
-        commit_author_email: "<buildbot@fishtownanalytics.com>"
-        commit_message: "Add automated changelog yaml from template for bot PR"
-        changie_kind: ${{ matrix.changie_kind }}
-        label: ${{ matrix.label }}
-        custom_changelog_string: "custom:\n  Author: ${{ github.event.pull_request.user.login }}\n  Issue: ${{ github.event.pull_request.number }}"

.github/workflows/changelog-existence.yml

@@ -1,40 +0,0 @@
-# **what?**
-# Checks that a file has been committed under the /.changes directory
-# as a new CHANGELOG entry.  Cannot check for a specific filename as
-# it is dynamically generated by change type and timestamp.
-# This workflow runs on pull_request_target because it requires
-# secrets to post comments.
-
-# **why?**
-# Ensure code change gets reflected in the CHANGELOG.
-
-# **when?**
-# This will run for all PRs going into main and *.latest.  It will
-# run when they are opened, reopened, when any label is added or removed
-# and when new code is pushed to the branch.  The action will then get
-# skipped if the 'Skip Changelog' label is present is any of the labels.
-
-name: Check Changelog Entry
-
-on:
-  pull_request_target:
-    types: [opened, reopened, labeled, unlabeled, synchronize]
-    paths-ignore: ['.changes/**', '.github/**', 'tests/**', '**.md', '**.yml']
-
-  workflow_dispatch:
-
-defaults:
-  run:
-    shell: bash
-
-permissions:
-  contents: read
-  pull-requests: write
-
-jobs:
-  changelog:
-    uses: dbt-labs/actions/.github/workflows/changelog-existence.yml@main
-    with:
-      changelog_comment: 'Thank you for your pull request! We could not find a changelog entry for this change. For details on how to document a change, see [the contributing guide](https://github.com/dbt-labs/dbt-core/blob/main/CONTRIBUTING.md#adding-changelog-entry).'
-      skip_label: 'Skip Changelog'
-    secrets: inherit

.github/workflows/check-artifact-changes.yml

@@ -1,41 +0,0 @@
-name: Check Artifact Changes
-
-on:
-  pull_request:
-    types: [ opened, reopened, labeled, unlabeled, synchronize ]
-    paths-ignore: [ '.changes/**', '.github/**', 'tests/**', '**.md', '**.yml' ]
-
-  workflow_dispatch:
-
-jobs:
-  check-artifact-changes:
-    runs-on: ubuntu-latest
-    if: ${{ !contains(github.event.pull_request.labels.*.name, 'artifact_minor_upgrade') }}
-    steps:
-      - name: Checkout code
-        uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-
-      - name: Check for changes in core/dbt/artifacts
-        # https://github.com/marketplace/actions/paths-changes-filter
-        uses: dorny/paths-filter@v3
-        id: check_artifact_changes
-        with:
-          filters: |
-            artifacts_changed:
-              - 'core/dbt/artifacts/**'
-          list-files: shell
-
-      - name: Fail CI if artifacts have changed
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'true'
-        run: |
-          echo "CI failure: Artifact changes checked in core/dbt/artifacts directory."
-          echo "Files changed: ${{ steps.check_artifact_changes.outputs.artifacts_changed_files }}"
-          echo "To bypass this check, confirm that the change is not breaking (https://github.com/dbt-labs/dbt-core/blob/main/core/dbt/artifacts/README.md#breaking-changes) and add the 'artifact_minor_upgrade' label to the PR."
-          exit 1
-
-      - name: CI check passed
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'false'
-        run: |
-          echo "No prohibited artifact changes found in core/dbt/artifacts. CI check passed."

.github/workflows/community-label.yml

@@ -1,39 +0,0 @@
-# **what?**
-# Label a PR with a `community` label when a PR is opened by a user outside core/adapters
-
-# **why?**
-# To streamline triage and ensure that community contributions are recognized and prioritized
-
-# **when?**
-# When a PR is opened, not in draft or moved from draft to ready for review
-
-
-name: Label community PRs
-
-on:
-  # have to use pull_request_target since community PRs come from forks
-  pull_request_target:
-    types: [opened, ready_for_review]
-
-defaults:
-  run:
-    shell: bash
-
-permissions:
-    pull-requests: write # labels PRs
-    contents: read # reads team membership
-
-jobs:
-  open_issues:
-    # If this PR already has the community label, no need to relabel it
-    # If this PR is opened and not draft, determine if it needs to be labeled
-    # if the PR is converted out of draft, determine if it needs to be labeled
-    if: |
-      (!contains(github.event.pull_request.labels.*.name, 'community') &&
-      (github.event.action == 'opened' && github.event.pull_request.draft == false ) ||
-       github.event.action == 'ready_for_review' )
-    uses: dbt-labs/actions/.github/workflows/label-community.yml@main
-    with:
-        github_team: 'core-group'
-        label: 'community'
-    secrets: inherit

.github/workflows/cut-release-branch.yml

@@ -1,41 +0,0 @@
-# **what?**
-# Cuts a new `*.latest` branch
-# Also cleans up all files in `.changes/unreleased` and `.changes/previous verion on
-# `main` and bumps `main` to the input version.
-
-# **why?**
-# Generally reduces the workload of engineers and reduces error.  Allow automation.
-
-# **when?**
-# This will run when called manually.
-
-name: Cut new release branch
-
-on:
-  workflow_dispatch:
-    inputs:
-      version_to_bump_main:
-        description: 'The alpha version main should bump to (ex. 1.6.0a1)'
-        required: true
-      new_branch_name:
-        description: 'The full name of the new branch (ex. 1.5.latest)'
-        required: true
-
-defaults:
-  run:
-    shell: bash
-
-permissions:
-  contents: write
-
-jobs:
-  cut_branch:
-    name: "Cut branch and clean up main for dbt-core"
-    uses: dbt-labs/actions/.github/workflows/cut-release-branch.yml@main
-    with:
-      version_to_bump_main: ${{ inputs.version_to_bump_main }}
-      new_branch_name: ${{ inputs.new_branch_name }}
-      PR_title: "Cleanup main after cutting new ${{ inputs.new_branch_name }} branch"
-      PR_body: "All adapter PRs will fail CI until the dbt-core PR has been merged due to release version conflicts."
-    secrets:
-      FISHTOWN_BOT_PAT: ${{ secrets.FISHTOWN_BOT_PAT }}

.github/workflows/docs-issue.yml

@@ -1,41 +0,0 @@
-# **what?**
-# Open an issue in docs.getdbt.com when an issue is labeled `user docs` and closed as completed
-
-# **why?**
-# To reduce barriers for keeping docs up to date
-
-# **when?**
-# When an issue is labeled `user docs` and is closed as completed.  Can be labeled before or after the issue is closed.
-
-
-name: Open issues in docs.getdbt.com repo when an issue is labeled
-run-name: "Open an issue in docs.getdbt.com for issue #${{ github.event.issue.number }}"
-
-on:
-  issues:
-    types: [labeled, closed]
-
-defaults:
-  run:
-    shell: bash
-
-permissions:
-    issues: write # comments on issues
-
-jobs:
-  open_issues:
-    # we only want to run this when the issue is closed as completed and the label `user docs` has been assigned.
-    # If this logic does not exist in this workflow, it runs the
-    # risk of duplicaton of issues being created due to merge and label both triggering this workflow to run and neither having
-    # generating the comment before the other runs.  This lives here instead of the shared workflow because this is where we
-    # decide if it should run or not.
-    if: |
-      (github.event.issue.state == 'closed' &&
-       github.event.issue.state_reason == 'completed' &&
-       contains( github.event.issue.labels.*.name, 'user docs'))
-    uses: dbt-labs/actions/.github/workflows/open-issue-in-repo.yml@main
-    with:
-        issue_repository: "dbt-labs/docs.getdbt.com"
-        issue_title: "Docs Changes Needed from ${{ github.event.repository.name }} Issue #${{ github.event.issue.number }}"
-        issue_body: "At a minimum, update body to include a link to the page on docs.getdbt.com requiring updates and what part(s) of the page you would like to see updated."
-    secrets: inherit

.github/workflows/main.yml

@@ -1,303 +0,0 @@
-# **what?**
-# Runs code quality checks, unit tests, integration tests and
-# verifies python build on all code commited to the repository. This workflow
-# should not require any secrets since it runs for PRs from forked repos. By
-# default, secrets are not passed to workflows running from a forked repos.
-
-# **why?**
-# Ensure code for dbt meets a certain quality standard.
-
-# **when?**
-# This will run for all PRs, when code is pushed to a release
-# branch, and when manually triggered.
-
-name: Tests and Code Checks
-
-on:
-  push:
-    branches:
-      - "main"
-      - "*.latest"
-      - "releases/*"
-  pull_request:
-  workflow_dispatch:
-
-permissions: read-all
-
-# will cancel previous workflows triggered by the same event and for the same ref for PRs or same SHA otherwise
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event_name }}-${{ contains(github.event_name, 'pull_request') && github.event.pull_request.head.ref || github.sha }}
-  cancel-in-progress: true
-
-defaults:
-  run:
-    shell: bash
-
-# top-level adjustments can be made here
-env:
-  # number of parallel processes to spawn for python integration testing
-  PYTHON_INTEGRATION_TEST_WORKERS: 5
-
-jobs:
-  code-quality:
-    name: code-quality
-
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-
-    steps:
-      - name: Check out the repository
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.8'
-
-      - name: Install python dependencies
-        run: |
-          python -m pip install --user --upgrade pip
-          python -m pip --version
-          make dev
-          mypy --version
-          dbt --version
-
-      - name: Run pre-commit hooks
-        run: pre-commit run --all-files --show-diff-on-failure
-
-  unit:
-    name: unit test / python ${{ matrix.python-version }}
-
-    runs-on: ubuntu-latest
-    timeout-minutes: 10
-
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ]
-
-    env:
-      TOXENV: "unit"
-
-    steps:
-      - name: Check out the repository
-        uses: actions/checkout@v4
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Install python dependencies
-        run: |
-          python -m pip install --user --upgrade pip
-          python -m pip --version
-          python -m pip install tox
-          tox --version
-
-      - name: Run unit tests
-        uses: nick-fields/retry@v3
-        with:
-          timeout_minutes: 10
-          max_attempts: 3
-          command: tox -e unit
-
-      - name: Get current date
-        if: always()
-        id: date
-        run: |
-          CURRENT_DATE=$(date +'%Y-%m-%dT%H_%M_%S') # no colons allowed for artifacts
-          echo "date=$CURRENT_DATE" >> $GITHUB_OUTPUT
-
-      - name: Upload Unit Test Coverage to Codecov
-        if: ${{ matrix.python-version == '3.11' }}
-        uses: codecov/codecov-action@v4
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          flags: unit
-
-  integration-metadata:
-    name: integration test metadata generation
-    runs-on: ubuntu-latest
-    outputs:
-      split-groups: ${{ steps.generate-split-groups.outputs.split-groups }}
-      include: ${{ steps.generate-include.outputs.include }}
-
-    steps:
-      - name: generate split-groups
-        id: generate-split-groups
-        run: |
-          MATRIX_JSON="["
-          for B in $(seq 1 ${{ env.PYTHON_INTEGRATION_TEST_WORKERS }}); do
-              MATRIX_JSON+=$(sed 's/^/"/;s/$/"/' <<< "${B}")
-          done
-          MATRIX_JSON="${MATRIX_JSON//\"\"/\", \"}"
-          MATRIX_JSON+="]"
-          echo "split-groups=${MATRIX_JSON}"
-          echo "split-groups=${MATRIX_JSON}" >> $GITHUB_OUTPUT
-
-      - name: generate include
-        id: generate-include
-        run: |
-          INCLUDE=('"python-version":"3.8","os":"windows-latest"' '"python-version":"3.8","os":"macos-12"' )
-          INCLUDE_GROUPS="["
-          for include in ${INCLUDE[@]}; do
-              for group in $(seq 1 ${{ env.PYTHON_INTEGRATION_TEST_WORKERS }}); do
-                  INCLUDE_GROUPS+=$(sed 's/$/, /' <<< "{\"split-group\":\"${group}\",${include}}")
-              done
-          done
-          INCLUDE_GROUPS=$(echo $INCLUDE_GROUPS | sed 's/,*$//g')
-          INCLUDE_GROUPS+="]"
-          echo "include=${INCLUDE_GROUPS}"
-          echo "include=${INCLUDE_GROUPS}" >> $GITHUB_OUTPUT
-
-  integration:
-    name: (${{ matrix.split-group }}) integration test / python ${{ matrix.python-version }} / ${{ matrix.os }}
-
-    runs-on: ${{ matrix.os }}
-    timeout-minutes: 30
-    needs:
-      - integration-metadata
-    strategy:
-      fail-fast: false
-      matrix:
-        python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ]
-        os: [ubuntu-20.04]
-        split-group: ${{ fromJson(needs.integration-metadata.outputs.split-groups) }}
-        include: ${{ fromJson(needs.integration-metadata.outputs.include) }}
-    env:
-      TOXENV: integration
-      DBT_INVOCATION_ENV: github-actions
-      DBT_TEST_USER_1: dbt_test_user_1
-      DBT_TEST_USER_2: dbt_test_user_2
-      DBT_TEST_USER_3: dbt_test_user_3
-      DD_CIVISIBILITY_AGENTLESS_ENABLED: true
-      DD_API_KEY: ${{ secrets.DATADOG_API_KEY }}
-      DD_SITE: datadoghq.com
-      DD_ENV: ci
-      DD_SERVICE: ${{ github.event.repository.name }}
-
-    steps:
-      - name: Check out the repository
-        uses: actions/checkout@v4
-
-      - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v5
-        with:
-          python-version: ${{ matrix.python-version }}
-
-      - name: Set up postgres (linux)
-        if: runner.os == 'Linux'
-        uses: ./.github/actions/setup-postgres-linux
-
-      - name: Set up postgres (macos)
-        if: runner.os == 'macOS'
-        uses: ./.github/actions/setup-postgres-macos
-
-      - name: Set up postgres (windows)
-        if: runner.os == 'Windows'
-        uses: ./.github/actions/setup-postgres-windows
-
-      - name: Install python tools
-        run: |
-          python -m pip install --user --upgrade pip
-          python -m pip --version
-          python -m pip install tox
-          tox --version
-
-      - name: Run integration tests
-        uses: nick-fields/retry@v3
-        with:
-          timeout_minutes: 30
-          max_attempts: 3
-          command: tox -- --ddtrace
-        env:
-          PYTEST_ADDOPTS: ${{ format('--splits {0} --group {1}', env.PYTHON_INTEGRATION_TEST_WORKERS, matrix.split-group) }}
-
-      - name: Get current date
-        if: always()
-        id: date
-        run: |
-          CURRENT_DATE=$(date +'%Y-%m-%dT%H_%M_%S') # no colons allowed for artifacts
-          echo "date=$CURRENT_DATE" >> $GITHUB_OUTPUT
-
-      - uses: actions/upload-artifact@v4
-        if: always()
-        with:
-          name: logs_${{ matrix.python-version }}_${{ matrix.os }}_${{ matrix.split-group }}_${{ steps.date.outputs.date }}
-          path: ./logs
-
-      - name: Upload Integration Test Coverage to Codecov
-        if: ${{ matrix.python-version == '3.11' }}
-        uses: codecov/codecov-action@v4
-        with:
-          token: ${{ secrets.CODECOV_TOKEN }}
-          flags: integration
-
-  integration-report:
-    if: ${{ always() }}
-    name: Integration Test Suite
-    runs-on: ubuntu-latest
-    needs: integration
-    steps:
-      - name: "Integration Tests Failed"
-        if: ${{ contains(needs.integration.result, 'failure') || contains(needs.integration.result, 'cancelled') }}
-        # when this is true the next step won't execute
-        run: |
-          echo "::notice title='Integration test suite failed'"
-          exit 1
-
-      - name: "Integration Tests Passed"
-        run: |
-          echo "::notice title='Integration test suite passed'"
-
-  build:
-    name: build packages
-
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Check out the repository
-        uses: actions/checkout@v4
-
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: '3.8'
-
-      - name: Install python dependencies
-        run: |
-          python -m pip install --user --upgrade pip
-          python -m pip install --upgrade setuptools wheel twine check-wheel-contents
-          python -m pip --version
-
-      - name: Build distributions
-        run: ./scripts/build-dist.sh
-
-      - name: Show distributions
-        run: ls -lh dist/
-
-      - name: Check distribution descriptions
-        run: |
-          twine check dist/*
-
-      - name: Check wheel contents
-        run: |
-          check-wheel-contents dist/*.whl --ignore W007,W008
-
-      - name: Install wheel distributions
-        run: |
-          find ./dist/*.whl -maxdepth 1 -type f | xargs python -m pip install --force-reinstall --find-links=dist/
-
-      - name: Check wheel distributions
-        run: |
-          dbt --version
-
-      - name: Install source distributions
-        # ignore dbt-1.0.0, which intentionally raises an error when installed from source
-        run: |
-          find ./dist/*.gz -maxdepth 1 -type f | xargs python -m pip install --force-reinstall --find-links=dist/
-
-      - name: Check source distributions
-        run: |
-          dbt --version

.github/workflows/model_performance.yml

@@ -1,265 +0,0 @@
-# **what?**
-# This workflow models the performance characteristics of a point in time in dbt.
-# It runs specific dbt commands on committed projects multiple times to create and
-# commit information about the distribution to the current branch. For more information
-# see the readme in the performance module at /performance/README.md.
-#
-# **why?**
-# When developing new features, we can take quick performance samples and compare
-# them against the commited baseline measurements produced by this workflow to detect
-# some performance regressions at development time before they reach users.
-#
-# **when?**
-# This is only run once directly after each release (for non-prereleases). If for some
-# reason the results of a run are not satisfactory, it can also be triggered manually.
-
-name: Model Performance Characteristics
-
-on:
-  # runs after non-prereleases are published.
-  release:
-    types: [released]
-  # run manually from the actions tab
-  workflow_dispatch:
-    inputs:
-      release_id:
-        description: 'dbt version to model (must be non-prerelease in Pypi)'
-        type: string
-        required: true
-
-env:
-  RUNNER_CACHE_PATH: performance/runner/target/release/runner
-
-# both jobs need to write
-permissions:
-  contents: write
-  pull-requests: write
-
-jobs:
-  set-variables:
-    name: Setting Variables
-    runs-on: ubuntu-latest
-    outputs:
-      cache_key: ${{ steps.variables.outputs.cache_key }}
-      release_id: ${{ steps.semver.outputs.base-version }}
-      release_branch: ${{ steps.variables.outputs.release_branch }}
-    steps:
-
-      # explicitly checkout the performance runner from main regardless of which
-      # version we are modeling.
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          ref: main
-
-      - name: Parse version into parts
-        id: semver
-        uses: dbt-labs/actions/parse-semver@v1
-        with:
-          version: ${{ github.event.inputs.release_id || github.event.release.tag_name }}
-
-      # collect all the variables that need to be used in subsequent jobs
-      - name: Set variables
-        id: variables
-        run: |
-          # create a cache key that will be used in the next job. without this the
-          # next job would have to checkout from main and hash the files itself.
-          echo "cache_key=${{ runner.os }}-${{ hashFiles('performance/runner/Cargo.toml')}}-${{ hashFiles('performance/runner/src/*') }}" >> $GITHUB_OUTPUT
-
-          branch_name="${{steps.semver.outputs.major}}.${{steps.semver.outputs.minor}}.latest"
-          echo "release_branch=$branch_name" >> $GITHUB_OUTPUT
-          echo "release branch is inferred to be ${branch_name}"
-
-  latest-runner:
-    name: Build or Fetch Runner
-    runs-on: ubuntu-latest
-    needs: [set-variables]
-    env:
-      RUSTFLAGS: "-D warnings"
-    steps:
-      - name: '[DEBUG] print variables'
-        run: |
-          echo "all variables defined in set-variables"
-          echo "cache_key:      ${{ needs.set-variables.outputs.cache_key }}"
-          echo "release_id:     ${{ needs.set-variables.outputs.release_id }}"
-          echo "release_branch: ${{ needs.set-variables.outputs.release_branch }}"
-
-      # explicitly checkout the performance runner from main regardless of which
-      # version we are modeling.
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          ref: main
-
-      # attempts to access a previously cached runner
-      - uses: actions/cache@v4
-        id: cache
-        with:
-          path: ${{ env.RUNNER_CACHE_PATH }}
-          key: ${{ needs.set-variables.outputs.cache_key }}
-
-      - name: Fetch Rust Toolchain
-        if: steps.cache.outputs.cache-hit != 'true'
-        uses: actions-rs/toolchain@v1
-        with:
-          profile: minimal
-          toolchain: stable
-          override: true
-
-      - name: Add fmt
-        if: steps.cache.outputs.cache-hit != 'true'
-        run: rustup component add rustfmt
-
-      - name: Cargo fmt
-        if: steps.cache.outputs.cache-hit != 'true'
-        uses: actions-rs/cargo@v1
-        with:
-          command: fmt
-          args: --manifest-path performance/runner/Cargo.toml --all -- --check
-
-      - name: Test
-        if: steps.cache.outputs.cache-hit != 'true'
-        uses: actions-rs/cargo@v1
-        with:
-          command: test
-          args: --manifest-path performance/runner/Cargo.toml
-
-      - name: Build (optimized)
-        if: steps.cache.outputs.cache-hit != 'true'
-        uses: actions-rs/cargo@v1
-        with:
-          command: build
-          args: --release --manifest-path performance/runner/Cargo.toml
-      # the cache action automatically caches this binary at the end of the job
-
-  model:
-    # depends on `latest-runner` as a separate job so that failures in this job do not prevent
-    # a successfully tested and built binary from being cached.
-    needs: [set-variables, latest-runner]
-    name: Model a release
-    runs-on: ubuntu-latest
-    steps:
-
-      - name: '[DEBUG] print variables'
-        run: |
-          echo "all variables defined in set-variables"
-          echo "cache_key:      ${{ needs.set-variables.outputs.cache_key }}"
-          echo "release_id:     ${{ needs.set-variables.outputs.release_id }}"
-          echo "release_branch: ${{ needs.set-variables.outputs.release_branch }}"
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.8"
-
-      - name: Install dbt
-        run: pip install dbt-postgres==${{ needs.set-variables.outputs.release_id }}
-
-      - name: Install Hyperfine
-        run: wget https://github.com/sharkdp/hyperfine/releases/download/v1.11.0/hyperfine_1.11.0_amd64.deb && sudo dpkg -i hyperfine_1.11.0_amd64.deb
-
-      # explicitly checkout main to get the latest project definitions
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          ref: main
-
-      # this was built in the previous job so it will be there.
-      - name: Fetch Runner
-        uses: actions/cache@v4
-        id: cache
-        with:
-          path: ${{ env.RUNNER_CACHE_PATH }}
-          key: ${{ needs.set-variables.outputs.cache_key }}
-
-      - name: Move Runner
-        run: mv performance/runner/target/release/runner performance/app
-
-      - name: Change Runner Permissions
-        run: chmod +x ./performance/app
-
-      - name: '[DEBUG] ls baseline directory before run'
-        run: ls -R performance/baselines/
-
-      # `${{ github.workspace }}` is used to pass the absolute path
-      - name: Create directories
-        run: |
-          mkdir ${{ github.workspace }}/performance/tmp/
-          mkdir -p performance/baselines/${{ needs.set-variables.outputs.release_id }}/
-
-      # Run modeling with taking 20 samples
-      - name: Run Measurement
-        run: |
-          performance/app model -v ${{ needs.set-variables.outputs.release_id }} -b ${{ github.workspace }}/performance/baselines/ -p ${{ github.workspace }}/performance/projects/ -t ${{ github.workspace }}/performance/tmp/ -n 20
-
-      - name: '[DEBUG] ls baseline directory after run'
-        run: ls -R performance/baselines/
-
-      - uses: actions/upload-artifact@v4
-        with:
-          name: baseline
-          path: performance/baselines/${{ needs.set-variables.outputs.release_id }}/
-
-  create-pr:
-    name: Open PR for ${{ matrix.base-branch }}
-
-    # depends on `model` as a separate job so that the baseline can be committed to more than one branch
-    # i.e. release branch and main
-    needs: [set-variables, latest-runner, model]
-    runs-on: ubuntu-latest
-
-    strategy:
-      matrix:
-        include:
-          - base-branch: refs/heads/main
-            target-branch: performance-bot/main_${{ needs.set-variables.outputs.release_id }}_${{GITHUB.RUN_ID}}
-          - base-branch: refs/heads/${{ needs.set-variables.outputs.release_branch }}
-            target-branch: performance-bot/release_${{ needs.set-variables.outputs.release_id }}_${{GITHUB.RUN_ID}}
-
-    steps:
-      - name: '[DEBUG] print variables'
-        run: |
-          echo "all variables defined in set-variables"
-          echo "cache_key:      ${{ needs.set-variables.outputs.cache_key }}"
-          echo "release_id:     ${{ needs.set-variables.outputs.release_id }}"
-          echo "release_branch: ${{ needs.set-variables.outputs.release_branch }}"
-
-      - name: Checkout
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ matrix.base-branch }}
-
-      - name: Create PR branch
-        run: |
-          git checkout -b ${{ matrix.target-branch }}
-          git push origin ${{ matrix.target-branch }}
-          git branch --set-upstream-to=origin/${{ matrix.target-branch }} ${{ matrix.target-branch }}
-
-      - uses: actions/download-artifact@v4
-        with:
-          name: baseline
-          path: performance/baselines/${{ needs.set-variables.outputs.release_id }}
-
-      - name: '[DEBUG] ls baselines after artifact download'
-        run: ls -R performance/baselines/
-
-      - name: Commit baseline
-        uses: EndBug/add-and-commit@v9
-        with:
-          add: 'performance/baselines/*'
-          author_name: 'Github Build Bot'
-          author_email: 'buildbot@fishtownanalytics.com'
-          message: 'adding performance baseline for ${{ needs.set-variables.outputs.release_id }}'
-          push: 'origin origin/${{ matrix.target-branch }}'
-
-      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v6
-        with:
-          author: 'Github Build Bot <buildbot@fishtownanalytics.com>'
-          base: ${{ matrix.base-branch }}
-          branch: '${{ matrix.target-branch }}'
-          title: 'Adding performance modeling for ${{needs.set-variables.outputs.release_id}} to ${{ matrix.base-branch }}'
-          body: 'Committing perf results for tracking for the ${{needs.set-variables.outputs.release_id}}'
-          labels: |
-            Skip Changelog
-            Performance

.github/workflows/nightly-release.yml

@@ -1,97 +0,0 @@
-# **what?**
-# Nightly releases to GitHub and PyPI. This workflow produces the following outcome:
-# - generate and validate data for night release (commit SHA, version number, release branch);
-# - pass data to release workflow;
-# - night release will be pushed to GitHub as a draft release;
-# - night build will be pushed to test PyPI;
-#
-# **why?**
-# Ensure an automated and tested release process for nightly builds
-#
-# **when?**
-# This workflow runs on schedule or can be run manually on demand.
-
-name: Nightly Test Release to GitHub and PyPI
-
-on:
-  workflow_dispatch: # for manual triggering
-  schedule:
-    - cron: 0 9 * * *
-
-permissions:
-  contents: write # this is the permission that allows creating a new release
-  packages: write # this is the permission that allows Docker release
-
-defaults:
-  run:
-    shell: bash
-
-env:
-  RELEASE_BRANCH: "main"
-
-jobs:
-  aggregate-release-data:
-    runs-on: ubuntu-latest
-
-    outputs:
-      version_number: ${{ steps.nightly-release-version.outputs.number }}
-      release_branch: ${{ steps.release-branch.outputs.name }}
-
-    steps:
-      - name: "Checkout ${{ github.repository }} Branch ${{ env.RELEASE_BRANCH }}"
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ env.RELEASE_BRANCH }}
-
-      - name: "Get Current Version Number"
-        id: version-number-sources
-        run: |
-          current_version=`awk -F"current_version = " '{print $2}' .bumpversion.cfg | tr '\n' ' '`
-          echo "current_version=$current_version" >> $GITHUB_OUTPUT
-
-      - name: "Audit Version And Parse Into Parts"
-        id: semver
-        uses: dbt-labs/actions/parse-semver@v1.1.0
-        with:
-          version: ${{ steps.version-number-sources.outputs.current_version }}
-
-      - name: "Get Current Date"
-        id: current-date
-        run: echo "date=$(date +'%m%d%Y')" >> $GITHUB_OUTPUT
-
-      - name: "Generate Nightly Release Version Number"
-        id: nightly-release-version
-        run: |
-          number="${{ steps.semver.outputs.version }}.dev${{ steps.current-date.outputs.date }}"
-          echo "number=$number" >> $GITHUB_OUTPUT
-
-      - name: "Audit Nightly Release Version And Parse Into Parts"
-        uses: dbt-labs/actions/parse-semver@v1.1.0
-        with:
-          version: ${{ steps.nightly-release-version.outputs.number }}
-
-      - name: "Set Release Branch"
-        id: release-branch
-        run: |
-          echo "name=${{ env.RELEASE_BRANCH }}" >> $GITHUB_OUTPUT
-
-  log-outputs-aggregate-release-data:
-    runs-on: ubuntu-latest
-    needs: [aggregate-release-data]
-
-    steps:
-      - name: "[DEBUG] Log Outputs"
-        run: |
-          echo version_number: ${{ needs.aggregate-release-data.outputs.version_number }}
-          echo release_branch: ${{ needs.aggregate-release-data.outputs.release_branch }}
-
-  release-github-pypi:
-    needs: [aggregate-release-data]
-
-    uses: ./.github/workflows/release.yml
-    with:
-      target_branch: ${{ needs.aggregate-release-data.outputs.release_branch }}
-      version_number: ${{ needs.aggregate-release-data.outputs.version_number }}
-      test_run: true
-      nightly_release: true
-    secrets: inherit

.github/workflows/release-branch-tests.yml

@@ -1,31 +0,0 @@
-# **what?**
-# The purpose of this workflow is to trigger CI to run for each
-# release branch and main branch on a regular cadence. If the CI workflow
-# fails for a branch, it will post to #dev-core-alerts to raise awareness.
-
-# **why?**
-# Ensures release branches and main are always shippable and not broken.
-# Also, can catch any dependencies shifting beneath us that might
-# introduce breaking changes (could also impact Cloud).
-
-# **when?**
-# Mainly on a schedule of 9:00, 13:00, 18:00 UTC everyday.
-# Manual trigger can also test on demand
-
-name: Release branch scheduled testing
-
-on:
-  schedule:
-    - cron: '0 9,13,18 * * *' # 9:00, 13:00, 18:00 UTC
-
-  workflow_dispatch: # for manual triggering
-
-# no special access is needed
-permissions: read-all
-
-jobs:
-  run_tests:
-    uses: dbt-labs/actions/.github/workflows/release-branch-tests.yml@main
-    with:
-      workflows_to_run: '["main.yml"]'
-    secrets: inherit

.github/workflows/release.yml

@@ -1,249 +0,0 @@
-# **what?**
-# Release workflow provides the following steps:
-# - checkout the given commit;
-# - validate version in sources and changelog file for given version;
-# - bump the version and generate a changelog if needed;
-# - merge all changes to the target branch if needed;
-# - run unit and integration tests against given commit;
-# - build and package that SHA;
-# - release it to GitHub and PyPI with that specific build;
-# - release it to Docker
-#
-# **why?**
-# Ensure an automated and tested release process
-#
-# **when?**
-# This workflow can be run manually on demand or can be called by other workflows
-
-name: "Release to GitHub, PyPI & Docker"
-run-name: "Release ${{ inputs.version_number }} to GitHub, PyPI & Docker"
-
-on:
-  workflow_dispatch:
-    inputs:
-      target_branch:
-        description: "The branch to release from"
-        type: string
-        required: true
-      version_number:
-        description: "The release version number (i.e. 1.0.0b1)"
-        type: string
-        required: true
-      test_run:
-        description: "Test run (Publish release as draft)"
-        type: boolean
-        default: true
-        required: false
-      nightly_release:
-        description: "Nightly release to dev environment"
-        type: boolean
-        default: false
-        required: false
-      only_docker:
-        description: "Only release Docker image, skip GitHub & PyPI"
-        type: boolean
-        default: false
-        required: false
-  workflow_call:
-    inputs:
-      target_branch:
-        description: "The branch to release from"
-        type: string
-        required: true
-      version_number:
-        description: "The release version number (i.e. 1.0.0b1)"
-        type: string
-        required: true
-      test_run:
-        description: "Test run (Publish release as draft)"
-        type: boolean
-        default: true
-        required: false
-      nightly_release:
-        description: "Nightly release to dev environment"
-        type: boolean
-        default: false
-        required: false
-
-permissions:
-  contents: write # this is the permission that allows creating a new release
-
-defaults:
-  run:
-    shell: bash
-
-jobs:
-  job-setup:
-    name: Log Inputs
-    runs-on: ubuntu-latest
-    outputs:
-      starting_sha: ${{ steps.set_sha.outputs.starting_sha }}
-    steps:
-      - name: "[DEBUG] Print Variables"
-        run: |
-          echo Inputs
-          echo The branch to release from:         ${{ inputs.target_branch }}
-          echo The release version number:         ${{ inputs.version_number }}
-          echo Test run:                           ${{ inputs.test_run }}
-          echo Nightly release:                    ${{ inputs.nightly_release }}
-          echo Only Docker:                        ${{ inputs.only_docker }}
-
-      - name: "Checkout target branch"
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ inputs.target_branch }}
-
-      # release-prep.yml really shouldn't take in the sha but since core + all adapters
-      # depend on it now this workaround lets us not input it manually with risk of error.
-      # The changes always get merged into the head so we can't use a specific commit for
-      # releases anyways.
-      - name: "Capture sha"
-        id: set_sha
-        run: |
-          echo "starting_sha=$(git rev-parse HEAD)" >> $GITHUB_OUTPUT
-
-  bump-version-generate-changelog:
-    name: Bump package version, Generate changelog
-    needs: [job-setup]
-    if: ${{ !inputs.only_docker }}
-
-    uses: dbt-labs/dbt-release/.github/workflows/release-prep.yml@main
-
-    with:
-      sha: ${{ needs.job-setup.outputs.starting_sha }}
-      version_number: ${{ inputs.version_number }}
-      target_branch: ${{ inputs.target_branch }}
-      env_setup_script_path: "scripts/env-setup.sh"
-      test_run: ${{ inputs.test_run }}
-      nightly_release: ${{ inputs.nightly_release }}
-
-    secrets: inherit
-
-  log-outputs-bump-version-generate-changelog:
-    name: "[Log output] Bump package version, Generate changelog"
-    if: ${{ !failure() && !cancelled() && !inputs.only_docker }}
-
-    needs: [bump-version-generate-changelog]
-
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Print variables
-        run: |
-          echo Final SHA     : ${{ needs.bump-version-generate-changelog.outputs.final_sha }}
-          echo Changelog path: ${{ needs.bump-version-generate-changelog.outputs.changelog_path }}
-
-  build-test-package:
-    name: Build, Test, Package
-    if: ${{ !failure() && !cancelled() && !inputs.only_docker }}
-    needs: [job-setup, bump-version-generate-changelog]
-
-    uses: dbt-labs/dbt-release/.github/workflows/build.yml@main
-
-    with:
-      sha: ${{ needs.bump-version-generate-changelog.outputs.final_sha }}
-      version_number: ${{ inputs.version_number }}
-      changelog_path: ${{ needs.bump-version-generate-changelog.outputs.changelog_path }}
-      build_script_path: "scripts/build-dist.sh"
-      s3_bucket_name: "core-team-artifacts"
-      package_test_command: "dbt --version"
-      test_run: ${{ inputs.test_run }}
-      nightly_release: ${{ inputs.nightly_release }}
-
-    secrets:
-      AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
-      AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-
-  github-release:
-    name: GitHub Release
-    if: ${{ !failure() && !cancelled() && !inputs.only_docker }}
-
-    needs: [bump-version-generate-changelog, build-test-package]
-
-    uses: dbt-labs/dbt-release/.github/workflows/github-release.yml@main
-
-    with:
-      sha: ${{ needs.bump-version-generate-changelog.outputs.final_sha }}
-      version_number: ${{ inputs.version_number }}
-      changelog_path: ${{ needs.bump-version-generate-changelog.outputs.changelog_path }}
-      test_run: ${{ inputs.test_run }}
-
-  pypi-release:
-    name: PyPI Release
-
-    needs: [github-release]
-
-    uses: dbt-labs/dbt-release/.github/workflows/pypi-release.yml@main
-
-    with:
-      version_number: ${{ inputs.version_number }}
-      test_run: ${{ inputs.test_run }}
-
-    secrets:
-      PYPI_API_TOKEN: ${{ secrets.PYPI_API_TOKEN }}
-      TEST_PYPI_API_TOKEN: ${{ secrets.TEST_PYPI_API_TOKEN }}
-
-  determine-docker-package:
-    # dbt-postgres exists within dbt-core for versions 1.7 and earlier but is a separate package for 1.8 and later.
-    # determine if we need to release dbt-core or both dbt-core and dbt-postgres
-    name: Determine Docker Package
-    if: ${{ !failure() && !cancelled() }}
-    runs-on: ubuntu-latest
-    needs: [pypi-release]
-    outputs:
-      matrix: ${{ steps.determine-docker-package.outputs.matrix }}
-    steps:
-      - name: "Audit Version And Parse Into Parts"
-        id: semver
-        uses: dbt-labs/actions/parse-semver@v1.1.0
-        with:
-          version: ${{ inputs.version_number }}
-
-      - name: "Determine Packages to Release"
-        id: determine-docker-package
-        run: |
-          if [ ${{ steps.semver.outputs.minor }} -ge 8 ]; then
-            json_output={\"package\":[\"dbt-core\"]}
-          else
-            json_output={\"package\":[\"dbt-core\",\"dbt-postgres\"]}
-          fi
-          echo "matrix=$json_output" >> $GITHUB_OUTPUT
-
-  docker-release:
-    name: "Docker Release for ${{ matrix.package }}"
-    needs: [determine-docker-package]
-    # We cannot release to docker on a test run because it uses the tag in GitHub as
-    # what we need to release but draft releases don't actually tag the commit so it
-    # finds nothing to release
-    if: ${{ !failure() && !cancelled() && (!inputs.test_run || inputs.only_docker) }}
-    strategy:
-      matrix: ${{fromJson(needs.determine-docker-package.outputs.matrix)}}
-
-    permissions:
-      packages: write
-
-    uses: dbt-labs/dbt-release/.github/workflows/release-docker.yml@main
-    with:
-      package: ${{ matrix.package }}
-      version_number: ${{ inputs.version_number }}
-      test_run: ${{ inputs.test_run }}
-
-  slack-notification:
-    name: Slack Notification
-    if: ${{ failure() && (!inputs.test_run || inputs.nightly_release) }}
-
-    needs:
-      [
-        bump-version-generate-changelog,
-        build-test-package,
-        github-release,
-        pypi-release,
-        docker-release,
-      ]
-
-    uses: dbt-labs/dbt-release/.github/workflows/slack-post-notification.yml@main
-    with:
-      status: "failure"
-
-    secrets:
-      SLACK_WEBHOOK_URL: ${{ secrets.SLACK_DEV_CORE_ALERTS }}

.github/workflows/repository-cleanup.yml

@@ -1,30 +0,0 @@
-# **what?**
-# Cleanup branches left over from automation and testing.  Also cleanup
-# draft releases from release testing.
-
-# **why?**
-# The automations are leaving behind branches and releases that clutter
-# the repository.  Sometimes we need them to debug processes so we don't
-# want them immediately deleted.  Running on Saturday to avoid running
-# at the same time as an actual release to prevent breaking a release
-# mid-release.
-
-# **when?**
-# Mainly on a schedule of 12:00 Saturday.
-# Manual trigger can also run on demand
-
-name: Repository Cleanup
-
-on:
-  schedule:
-    - cron: '0 12 * * SAT' # At 12:00 on Saturday - details in `why` above
-
-  workflow_dispatch: # for manual triggering
-
-permissions:
-  contents: write
-
-jobs:
-  cleanup-repo:
-    uses: dbt-labs/actions/.github/workflows/repository-cleanup.yml@main
-    secrets: inherit

.github/workflows/schema-check.yml

@@ -1,96 +0,0 @@
-# **what?**
-# Compares the schema of the dbt version of the given ref vs
-# the latest official schema releases found in schemas.getdbt.com.
-# If there are differences, the workflow will fail and upload the
-# diff as an artifact. The metadata team should be alerted to the change.
-#
-# **why?**
-# Reaction work may need to be done if artifact schema changes
-# occur so we want to proactively alert to it.
-#
-# **when?**
-# On pushes to `develop` and release branches. Manual runs are also enabled.
-name: Artifact Schema Check
-
-on:
-  pull_request:
-    types: [ opened, reopened, labeled, unlabeled, synchronize ]
-    paths-ignore: [ '.changes/**', '.github/**', 'tests/**', '**.md', '**.yml' ]
-
-  workflow_dispatch:
-
-# no special access is needed
-permissions: read-all
-
-env:
-  LATEST_SCHEMA_PATH: ${{ github.workspace }}/new_schemas
-  SCHEMA_DIFF_ARTIFACT: ${{ github.workspace }}/schema_changes.txt
-  DBT_REPO_DIRECTORY: ${{ github.workspace }}/dbt
-  SCHEMA_REPO_DIRECTORY: ${{ github.workspace }}/schemas.getdbt.com
-
-jobs:
-  checking-schemas:
-    name: "Checking schemas"
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Set up Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: 3.8
-
-      - name: Checkout dbt repo
-        uses: actions/checkout@v4
-        with:
-            path: ${{ env.DBT_REPO_DIRECTORY }}
-
-      - name: Check for changes in core/dbt/artifacts
-        # https://github.com/marketplace/actions/paths-changes-filter
-        uses: dorny/paths-filter@v3
-        id: check_artifact_changes
-        with:
-          filters: |
-            artifacts_changed:
-              - 'core/dbt/artifacts/**'
-          list-files: shell
-          working-directory: ${{ env.DBT_REPO_DIRECTORY }}
-
-      - name: Succeed if no artifacts have changed
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'false'
-        run: |
-          echo "No artifact changes found in core/dbt/artifacts. CI check passed."
-
-      - name: Checkout schemas.getdbt.com repo
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'true'
-        uses: actions/checkout@v4
-        with:
-          repository: dbt-labs/schemas.getdbt.com
-          ref: 'main'
-          path: ${{ env.SCHEMA_REPO_DIRECTORY }}
-
-      - name: Generate current schema
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'true'
-        run: |
-          cd ${{ env.DBT_REPO_DIRECTORY }}
-          python3 -m venv env
-          source env/bin/activate
-          pip install --upgrade pip
-          pip install -r dev-requirements.txt -r editable-requirements.txt
-          python scripts/collect-artifact-schema.py --path ${{ env.LATEST_SCHEMA_PATH }}
-
-      # Copy generated schema files into the schemas.getdbt.com repo
-      # Do a git diff to find any changes
-      # Ignore any lines with date-like (yyyy-mm-dd) or version-like (x.y.z) changes
-      - name: Compare schemas
-        if: steps.check_artifact_changes.outputs.artifacts_changed == 'true'
-        run: |
-          cp -r ${{ env.LATEST_SCHEMA_PATH }}/dbt ${{ env.SCHEMA_REPO_DIRECTORY }}
-          cd ${{ env.SCHEMA_REPO_DIRECTORY }}
-          git diff -I='*[0-9]{4}-[0-9]{2}-[0-9]{2}' -I='*[0-9]+\.[0-9]+\.[0-9]+' --exit-code > ${{ env.SCHEMA_DIFF_ARTIFACT }}
-
-      - name: Upload schema diff
-        uses: actions/upload-artifact@v4
-        if: ${{ failure() && steps.check_artifact_changes.outputs.artifacts_changed == 'true' }}
-        with:
-          name: 'schema_changes.txt'
-          path: '${{ env.SCHEMA_DIFF_ARTIFACT }}'

.github/workflows/stale.yml

@@ -1,12 +0,0 @@
-name: "Close stale issues and PRs"
-on:
-  schedule:
-    - cron: "30 1 * * *"
-
-permissions:
-  issues: write
-  pull-requests: write
-
-jobs:
-  stale:
-    uses: dbt-labs/actions/.github/workflows/stale-bot-matrix.yml@main

.github/workflows/structured-logging-schema-check.yml

@@ -1,112 +0,0 @@
-# This Action checks makes a dbt run to sample json structured logs
-# and checks that they conform to the currently documented schema.
-#
-# If this action fails it either means we have unintentionally deviated
-# from our documented structured logging schema, or we need to bump the
-# version of our structured logging and add new documentation to
-# communicate these changes.
-
-name: Structured Logging Schema Check
-on:
-  push:
-    branches:
-      - "main"
-      - "*.latest"
-      - "releases/*"
-  pull_request:
-  workflow_dispatch:
-
-permissions: read-all
-
-# top-level adjustments can be made here
-env:
-  # number of parallel processes to spawn for python testing
-  PYTHON_INTEGRATION_TEST_WORKERS: 5
-
-jobs:
-  integration-metadata:
-    name: integration test metadata generation
-    runs-on: ubuntu-latest
-    outputs:
-      split-groups: ${{ steps.generate-split-groups.outputs.split-groups }}
-
-    steps:
-      - name: generate split-groups
-        id: generate-split-groups
-        run: |
-          MATRIX_JSON="["
-          for B in $(seq 1 ${{ env.PYTHON_INTEGRATION_TEST_WORKERS }}); do
-              MATRIX_JSON+=$(sed 's/^/"/;s/$/"/' <<< "${B}")
-          done
-          MATRIX_JSON="${MATRIX_JSON//\"\"/\", \"}"
-          MATRIX_JSON+="]"
-          echo "split-groups=${MATRIX_JSON}" >> $GITHUB_OUTPUT
-
-  # run the performance measurements on the current or default branch
-  test-schema:
-    name: Test Log Schema
-    runs-on: ubuntu-20.04
-    timeout-minutes: 30
-    needs:
-      - integration-metadata
-    strategy:
-      fail-fast: false
-      matrix:
-        split-group: ${{ fromJson(needs.integration-metadata.outputs.split-groups) }}
-    env:
-      # turns warnings into errors
-      RUSTFLAGS: "-D warnings"
-      # points tests to the log file
-      LOG_DIR: "/home/runner/work/dbt-core/dbt-core/logs"
-      # tells integration tests to output into json format
-      DBT_LOG_FORMAT: "json"
-      # tell eventmgr to convert logging events into bytes
-      DBT_TEST_BINARY_SERIALIZATION: "true"
-      # Additional test users
-      DBT_TEST_USER_1: dbt_test_user_1
-      DBT_TEST_USER_2: dbt_test_user_2
-      DBT_TEST_USER_3: dbt_test_user_3
-
-    steps:
-      - name: checkout dev
-        uses: actions/checkout@v4
-        with:
-          persist-credentials: false
-
-      - name: Setup Python
-        uses: actions/setup-python@v5
-        with:
-          python-version: "3.8"
-
-      - name: Install python dependencies
-        run: |
-          pip install --user --upgrade pip
-          pip --version
-          pip install tox
-          tox --version
-
-      - name: Set up postgres
-        uses: ./.github/actions/setup-postgres-linux
-
-      - name: ls
-        run: ls
-
-      # integration tests generate a ton of logs in different files. the next step will find them all.
-      # we actually care if these pass, because the normal test run doesn't usually include many json log outputs
-      - name: Run integration tests
-        uses: nick-fields/retry@v3
-        with:
-          timeout_minutes: 30
-          max_attempts: 3
-          command: tox -e integration -- -nauto
-        env:
-          PYTEST_ADDOPTS: ${{ format('--splits {0} --group {1}', env.PYTHON_INTEGRATION_TEST_WORKERS, matrix.split-group) }}
-
-  test-schema-report:
-    name: Log Schema Test Suite
-    runs-on: ubuntu-latest
-    needs: test-schema
-    steps:
-      - name: "[Notification] Log test suite passes"
-        run: |
-          echo "::notice title="Log test suite passes""

.github/workflows/test-repeater.yml

@@ -1,155 +0,0 @@
-# **what?**
-# This workflow will test all test(s) at the input path given number of times to determine if it's flaky or not.  You can test with any supported OS/Python combination.
-# This is batched in 10 to allow more test iterations faster.
-
-# **why?**
-# Testing if a test is flaky and if a previously flaky test has been fixed.  This allows easy testing on supported python versions and OS combinations.
-
-# **when?**
-# This is triggered manually from dbt-core.
-
-name: Flaky Tester
-
-on:
-  workflow_dispatch:
-    inputs:
-      branch:
-        description: 'Branch to check out'
-        type: string
-        required: true
-        default: 'main'
-      test_path:
-        description: 'Path to single test to run (ex: tests/functional/retry/test_retry.py::TestRetry::test_fail_fast)'
-        type: string
-        required: true
-        default: 'tests/functional/...'
-      python_version:
-        description: 'Version of Python to Test Against'
-        type: choice
-        options:
-          - '3.8'
-          - '3.9'
-          - '3.10'
-          - '3.11'
-      os:
-        description: 'OS to run test in'
-        type: choice
-        options:
-          - 'ubuntu-latest'
-          - 'macos-12'
-          - 'windows-latest'
-      num_runs_per_batch:
-        description: 'Max number of times to run the test per batch.  We always run 10 batches.'
-        type: number
-        required: true
-        default: '50'
-
-permissions: read-all
-
-defaults:
-  run:
-    shell: bash
-
-jobs:
-  debug:
-    runs-on: ubuntu-latest
-    steps:
-      - name: "[DEBUG] Output Inputs"
-        run: |
-          echo "Branch: ${{ inputs.branch }}"
-          echo "test_path: ${{ inputs.test_path }}"
-          echo "python_version: ${{ inputs.python_version }}"
-          echo "os: ${{ inputs.os }}"
-          echo "num_runs_per_batch: ${{ inputs.num_runs_per_batch }}"
-
-  pytest:
-    runs-on: ${{ inputs.os }}
-    strategy:
-      # run all batches, even if one fails.  This informs how flaky the test may be.
-      fail-fast: false
-      # using a matrix to speed up the jobs since the matrix will run in parallel when runners are available
-      matrix:
-        batch: ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10"]
-    env:
-      PYTEST_ADDOPTS: "-v --color=yes -n4 --csv integration_results.csv"
-      DBT_TEST_USER_1: dbt_test_user_1
-      DBT_TEST_USER_2: dbt_test_user_2
-      DBT_TEST_USER_3: dbt_test_user_3
-      DD_CIVISIBILITY_AGENTLESS_ENABLED: true
-      DD_API_KEY: ${{ secrets.DATADOG_API_KEY }}
-      DD_SITE: datadoghq.com
-      DD_ENV: ci
-      DD_SERVICE: ${{ github.event.repository.name }}
-
-    steps:
-      - name: "Checkout code"
-        uses: actions/checkout@v4
-        with:
-          ref: ${{ inputs.branch }}
-
-      - name: "Setup Python"
-        uses: actions/setup-python@v5
-        with:
-          python-version: "${{ inputs.python_version }}"
-
-      - name: "Setup Dev Environment"
-        run: make dev
-
-      - name: "Set up postgres (linux)"
-        if: inputs.os == 'ubuntu-latest'
-        run: make setup-db
-
-        # mac and windows don't use make due to limitations with docker with those runners in GitHub
-      - name: "Set up postgres (macos)"
-        if: inputs.os == 'macos-12'
-        uses: ./.github/actions/setup-postgres-macos
-
-      - name: "Set up postgres (windows)"
-        if: inputs.os == 'windows-latest'
-        uses: ./.github/actions/setup-postgres-windows
-
-      - name: "Test Command"
-        id: command
-        run: |
-          test_command="python -m pytest ${{ inputs.test_path }}"
-          echo "test_command=$test_command" >> $GITHUB_OUTPUT
-
-      - name: "Run test ${{ inputs.num_runs_per_batch }} times"
-        id: pytest
-        run: |
-          set +e
-          for ((i=1; i<=${{ inputs.num_runs_per_batch }}; i++))
-          do
-            echo "Running pytest iteration $i..."
-            python -m pytest --ddtrace ${{ inputs.test_path }}
-            exit_code=$?
-
-            if [[ $exit_code -eq 0 ]]; then
-              success=$((success + 1))
-              echo "Iteration $i: Success"
-            else
-              failure=$((failure + 1))
-              echo "Iteration $i: Failure"
-            fi
-
-            echo
-            echo "==========================="
-            echo "Successful runs: $success"
-            echo "Failed runs: $failure"
-            echo "==========================="
-            echo
-          done
-
-          echo "failure=$failure" >> $GITHUB_OUTPUT
-
-      - name: "Success and Failure Summary: ${{ inputs.os }}/Python ${{ inputs.python_version }}"
-        run: |
-          echo "Batch: ${{ matrix.batch }}"
-          echo "Successful runs: ${{ steps.pytest.outputs.success }}"
-          echo "Failed runs: ${{ steps.pytest.outputs.failure }}"
-
-      - name: "Error for Failures"
-        if: ${{ steps.pytest.outputs.failure }}
-        run: |
-            echo "Batch ${{ matrix.batch }} failed ${{ steps.pytest.outputs.failure }} of ${{ inputs.num_runs_per_batch }} tests"
-            exit 1

.github/workflows/tests.yml

@@ -0,0 +1,139 @@
+# This is a workflow to run our integration tests for windows and mac
+
+name: dbt Tests
+
+# Triggers
+on:
+  # Triggers the workflow on push or pull request events and also adds a manual trigger
+  push:
+    branches: 
+      - 'develop' 
+      - '*.latest' 
+      - 'releases/*'
+  pull_request:
+    branches: 
+      - 'develop' 
+      - '*.latest' 
+      - 'pr/*'
+      - 'releases/*'
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+jobs:
+  PostgresIntegrationTest:
+    runs-on: 'windows-latest' #TODO: Add Mac support
+    environment: 'Postgres'
+    steps:
+    - uses: actions/checkout@v2
+    - name: 'Install postgresql and set up database'
+      shell: pwsh
+      run: |
+          $serviceName = Get-Service -Name postgresql*
+          Set-Service -InputObject $serviceName -StartupType Automatic
+          Start-Service -InputObject $serviceName
+          & $env:PGBIN\createdb.exe -U postgres dbt
+          & $env:PGBIN\psql.exe  -U postgres -c "CREATE ROLE root WITH PASSWORD '$env:ROOT_PASSWORD';"
+          & $env:PGBIN\psql.exe  -U postgres -c "ALTER ROLE root WITH LOGIN;"
+          & $env:PGBIN\psql.exe  -U postgres -c "GRANT CREATE, CONNECT ON DATABASE dbt TO root WITH GRANT OPTION;"
+          & $env:PGBIN\psql.exe  -U postgres -c "CREATE ROLE noaccess WITH PASSWORD '$env:NOACCESS_PASSWORD' NOSUPERUSER;"
+          & $env:PGBIN\psql.exe  -U postgres -c "ALTER ROLE noaccess WITH LOGIN;"
+          & $env:PGBIN\psql.exe  -U postgres -c "GRANT CONNECT ON DATABASE dbt TO noaccess;"
+      env:
+          ROOT_PASSWORD: ${{ secrets.ROOT_PASSWORD }}
+          NOACCESS_PASSWORD: ${{ secrets.NOACCESS_PASSWORD }}
+      
+    - name: Setup Python
+      uses: actions/setup-python@v2.2.2
+      with:
+        python-version: '3.7'
+        architecture: 'x64'
+        
+    - name: 'Install dependencies'
+      run: python -m pip install --upgrade pip && pip install tox
+      
+    - name: 'Run integration tests'
+      run: python -m tox -e py-postgres -- -v -n4
+      
+  # These three are all similar except secure environment variables, which MUST be passed along to their tasks,
+  # but there's probably a better way to do this!
+  SnowflakeIntegrationTest:
+    strategy:
+      matrix:
+        os: [windows-latest, macos-latest]
+    runs-on: ${{ matrix.os }}
+    environment: 'Snowflake'
+    steps:
+      - uses: actions/checkout@v2
+      - name: Setup Python
+        uses: actions/setup-python@v2.2.2
+        with:
+          python-version: '3.7'
+          architecture: 'x64'
+
+      - name: 'Install dependencies'
+        run: python -m pip install --upgrade pip && pip install tox
+
+      - name: 'Run integration tests'
+        run: python -m tox -e py-snowflake -- -v -n4
+        env:
+          SNOWFLAKE_TEST_ACCOUNT: ${{ secrets.SNOWFLAKE_TEST_ACCOUNT }}
+          SNOWFLAKE_TEST_PASSWORD: ${{ secrets.SNOWFLAKE_TEST_PASSWORD }}
+          SNOWFLAKE_TEST_USER: ${{ secrets.SNOWFLAKE_TEST_USER }}
+          SNOWFLAKE_TEST_WAREHOUSE: ${{ secrets.SNOWFLAKE_TEST_WAREHOUSE }}
+          SNOWFLAKE_TEST_OAUTH_REFRESH_TOKEN: ${{ secrets.SNOWFLAKE_TEST_OAUTH_REFRESH_TOKEN }}
+          SNOWFLAKE_TEST_OAUTH_CLIENT_ID: ${{ secrets.SNOWFLAKE_TEST_OAUTH_CLIENT_ID }}
+          SNOWFLAKE_TEST_OAUTH_CLIENT_SECRET: ${{ secrets.SNOWFLAKE_TEST_OAUTH_CLIENT_SECRET }}
+          SNOWFLAKE_TEST_ALT_DATABASE: ${{ secrets.SNOWFLAKE_TEST_ALT_DATABASE }}
+          SNOWFLAKE_TEST_ALT_WAREHOUSE: ${{ secrets.SNOWFLAKE_TEST_ALT_WAREHOUSE }}
+          SNOWFLAKE_TEST_DATABASE: ${{ secrets.SNOWFLAKE_TEST_DATABASE }}
+          SNOWFLAKE_TEST_QUOTED_DATABASE: ${{ secrets.SNOWFLAKE_TEST_QUOTED_DATABASE }}
+          SNOWFLAKE_TEST_ROLE: ${{ secrets.SNOWFLAKE_TEST_ROLE }}
+
+  BigQueryIntegrationTest:
+    strategy:
+      matrix:
+        os: [windows-latest, macos-latest]
+    runs-on: ${{ matrix.os }}
+    environment: 'Bigquery'
+    steps:
+      - uses: actions/checkout@v2
+      - name: Setup Python
+        uses: actions/setup-python@v2.2.2
+        with:
+          python-version: '3.7'
+          architecture: 'x64'
+        
+      - name: 'Install dependencies'
+        run: python -m pip install --upgrade pip && pip install tox
+      
+      - name: 'Run integration tests'
+        run: python -m tox -e py-bigquery -- -v -n4
+        env:
+          BIGQUERY_SERVICE_ACCOUNT_JSON: ${{ secrets.BIGQUERY_SERVICE_ACCOUNT_JSON }}
+          BIGQUERY_TEST_ALT_DATABASE: ${{ secrets.BIGQUERY_TEST_ALT_DATABASE }}
+
+  RedshiftIntegrationTest:
+    strategy:
+      matrix:
+        os: [windows-latest, macos-latest]
+    runs-on: ${{ matrix.os }}
+    environment: 'Redshift'
+    steps:
+      - uses: actions/checkout@v2
+      - name: Setup Python
+        uses: actions/setup-python@v2.2.2
+        with:
+          python-version: '3.7'
+          architecture: 'x64'
+
+      - name: 'Install dependencies'
+        run: python -m pip install --upgrade pip && pip install tox
+
+      - name: 'Run integration tests' 
+        run: python -m tox -e py-redshift -- -v -n4
+        env:
+          REDSHIFT_TEST_DBNAME: ${{ secrets.REDSHIFT_TEST_DBNAME }}
+          REDSHIFT_TEST_PASS: ${{ secrets.REDSHIFT_TEST_PASS }}
+          REDSHIFT_TEST_USER: ${{ secrets.REDSHIFT_TEST_USER }}
+          REDSHIFT_TEST_PORT: ${{ secrets.REDSHIFT_TEST_PORT }}
+          REDSHIFT_TEST_HOST: ${{ secrets.REDSHIFT_TEST_HOST }}

.github/workflows/triage-labels.yml

@@ -1,31 +0,0 @@
-# **what?**
-# When the core team triages, we sometimes need more information from the issue creator.  In
-# those cases we remove the `triage` label and add the `awaiting_response` label.  Once we
-# recieve a response in the form of a comment, we want the `awaiting_response` label removed
-# in favor of the `triage` label so we are aware that the issue needs action.
-
-# **why?**
-# To help with out team triage issue tracking
-
-# **when?**
-# This will run when a comment is added to an issue and that issue has to `awaiting_response` label.
-
-name: Update Triage Label
-
-on: issue_comment
-
-defaults:
-  run:
-    shell: bash
-
-permissions:
-  issues: write
-
-jobs:
-  triage_label:
-    if: contains(github.event.issue.labels.*.name, 'awaiting_response')
-    uses: dbt-labs/actions/.github/workflows/swap-labels.yml@main
-    with:
-      add_label: "triage"
-      remove_label: "awaiting_response"
-    secrets: inherit

.github/workflows/unit_tests.yml

@@ -0,0 +1,61 @@
+# This is a workflow to run our linting and unit tests for windows, mac, and linux
+
+name: Linting and Unit Tests
+
+# Triggers
+on:
+  # Trigger on commits to develop and releases branches
+  push:
+    branches: 
+      - 'develop' 
+      - '*.latest' 
+      - 'releases/*'
+  pull_request: # Trigger for all PRs
+  workflow_dispatch: # Allow manual triggers
+
+jobs:
+  Linting:
+    runs-on: ubuntu-latest #no need to run on every OS
+    steps:
+    - uses: actions/checkout@v2
+    - name: Setup Python
+      uses: actions/setup-python@v2.2.2
+      with:
+        python-version: '3.6'
+        architecture: 'x64'
+
+    - name: 'Install dependencies'
+      run: python -m pip install --upgrade pip && pip install tox
+      
+    - name: 'Linting'
+      run: tox -e mypy,flake8 -- -v
+      
+  UnitTest:
+    strategy:
+      matrix:
+        os: [windows-latest, ubuntu-latest, macos-latest]
+    runs-on: ${{ matrix.os }}
+    needs: Linting
+    steps:
+    - uses: actions/checkout@v2
+    - name: Setup Python 3.6
+      uses: actions/setup-python@v2.2.2
+      with:
+        python-version: '3.6'
+        architecture: 'x64'
+    - name: Setup Python 3.7
+      uses: actions/setup-python@v2.2.2
+      with:
+        python-version: '3.7'
+        architecture: 'x64'
+    - name: Setup Python 3.8
+      uses: actions/setup-python@v2.2.2
+      with:
+        python-version: '3.8'
+        architecture: 'x64'
+
+    - name: 'Install dependencies'
+      run: python -m pip install --upgrade pip && pip install tox
+
+    - name: 'Run unit tests'
+      run: tox -p -e py36,py37,py38

.gitignore

@@ -11,8 +11,6 @@ __pycache__/
 env*/
 dbt_env/
 build/
-!tests/functional/build
-!core/dbt/docs/build
 develop-eggs/
 dist/
 downloads/
@@ -26,11 +24,8 @@ var/
 *.egg-info/
 .installed.cfg
 *.egg
-.mypy_cache/
-.dmypy.json
+*.mypy_cache/
 logs/
-.user.yml
-profiles.yml
 
 # PyInstaller
 #  Usually these files are written by a python script from a template
@@ -54,9 +49,9 @@ coverage.xml
 *,cover
 .hypothesis/
 test.env
-makefile.test.env
-*.pytest_cache/
 
+# Mypy
+.mypy_cache/
 
 # Translations
 *.mo
@@ -71,10 +66,10 @@ docs/_build/
 # PyBuilder
 target/
 
-# Ipython Notebook
+#Ipython Notebook
 .ipynb_checkpoints
 
-# Emacs
+#Emacs
 *~
 
 # Sublime Text
@@ -83,7 +78,6 @@ target/
 # Vim
 *.sw*
 
-# Pyenv
 .python-version
 
 # Vim
@@ -96,12 +90,7 @@ venv/
 # AWS credentials
 .aws/
 
-# MacOS
 .DS_Store
 
 # vscode
 .vscode/
-*.code-workspace
-
-# poetry
-poetry.lock

.isort.cfg

@@ -1,4 +0,0 @@
-[settings]
-profile=black
-extend_skip_glob=.github/*,third-party-stubs/*,scripts/*
-known_first_party=dbt,dbt_adapters,dbt_common,dbt_extractor,dbt_semantic_interface

.pre-commit-config.yaml

@@ -1,66 +0,0 @@
-# Configuration for pre-commit hooks (see https://pre-commit.com/).
-# Eventually the hooks described here will be run as tests before merging each PR.
-
-exclude: ^(core/dbt/docs/build/|core/dbt/common/events/types_pb2.py|core/dbt/events/core_types_pb2.py|core/dbt/adapters/events/adapter_types_pb2.py)
-
-# Force all unspecified python hooks to run python 3.8
-default_language_version:
-  python: python3
-
-repos:
-- repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v3.2.0
-  hooks:
-  - id: check-yaml
-    args: [--unsafe]
-  - id: check-json
-  - id: end-of-file-fixer
-  - id: trailing-whitespace
-    exclude_types:
-      - "markdown"
-  - id: check-case-conflict
-- repo: https://github.com/pycqa/isort
-  rev: 5.12.0
-  hooks:
-    - id: isort
-- repo: https://github.com/psf/black
-  rev: 22.3.0
-  hooks:
-  - id: black
-  - id: black
-    alias: black-check
-    stages: [manual]
-    args:
-    - "--check"
-    - "--diff"
-- repo: https://github.com/pycqa/flake8
-  rev: 4.0.1
-  hooks:
-  - id: flake8
-  - id: flake8
-    alias: flake8-check
-    stages: [manual]
-- repo: https://github.com/pre-commit/mirrors-mypy
-  rev: v1.4.1
-  hooks:
-  - id: mypy
-    # N.B.: Mypy is... a bit fragile.
-    #
-    # By using `language: system` we run this hook in the local
-    # environment instead of a pre-commit isolated one.  This is needed
-    # to ensure mypy correctly parses the project.
-
-    # It may cause trouble
-    # in that it adds environmental variables out of our control to the
-    # mix.  Unfortunately, there's nothing we can do about per pre-commit's
-    # author.
-    # See https://github.com/pre-commit/pre-commit/issues/730 for details.
-    args: [--show-error-codes]
-    files: ^core/dbt/
-    language: system
-  - id: mypy
-    alias: mypy-check
-    stages: [manual]
-    args: [--show-error-codes, --pretty]
-    files: ^core/dbt/
-    language: system

ARCHITECTURE.md

@@ -1,40 +1,34 @@
-The core function of dbt is SQL compilation and execution. Users create projects of dbt resources (models, tests, seeds, snapshots, ...), defined in SQL and YAML files, and they invoke dbt to create, update, or query associated views and tables. Today, dbt makes heavy use of Jinja2 to enable the templating of SQL, and to construct a DAG (Directed Acyclic Graph) from all of the resources in a project. Users can also extend their projects by installing resources (including Jinja macros) from other projects, called "packages."
+The core function of dbt is SQL compilation and execution. Users create projects of dbt resources (models, tests, seeds, snapshots, ...), defined in SQL and YAML files, and they invoke dbt to create, update, or query associated views and tables. Today, dbt makes heavy use of Jinja2 to enable the templating of SQL, and to construct a DAG (Directed Acyclic Graph) from all of the resources in a project. Users can also extend their projects by installing resources (including Jinja macros) from other projects, called "packages." 
 
 ## dbt-core
 
-Most of the python code in the repository is within the `core/dbt` directory.
-- [`single python files`](core/dbt/README.md): A number of individual files, such as 'compilation.py' and 'exceptions.py'
-
-The main subdirectories of core/dbt:
-- [`adapters`](core/dbt/adapters/README.md): Define base classes for behavior that is likely to differ across databases
-- [`clients`](core/dbt/clients/README.md): Interface with dependencies (agate, jinja) or across operating systems
-- [`config`](core/dbt/config/README.md): Reconcile user-supplied configuration from connection profiles, project files, and Jinja macros
-- [`context`](core/dbt/context/README.md): Build and expose dbt-specific Jinja functionality
-- [`contracts`](core/dbt/contracts/README.md): Define Python objects (dataclasses) that dbt expects to create and validate
-- [`deps`](core/dbt/deps/README.md): Package installation and dependency resolution
-- [`events`](core/dbt/events/README.md): Logging events
-- [`graph`](core/dbt/graph/README.md): Produce a `networkx` DAG of project resources, and selecting those resources given user-supplied criteria
-- [`include`](core/dbt/include/README.md): The dbt "global project," which defines default implementations of Jinja2 macros
-- [`parser`](core/dbt/parser/README.md): Read project files, validate, construct python objects
-- [`task`](core/dbt/task/README.md): Set forth the actions that dbt can perform when invoked
-
-Legacy tests are found in the 'test' directory:
-- [`unit tests`](core/dbt/test/unit/README.md): Unit tests
-- [`integration tests`](core/dbt/test/integration/README.md): Integration tests
+Most of the python code in the repository is within the `core/dbt` directory. Currently the main subdirectories are:
+- [`adapters`](core/dbt/adapters): Define base classes for behavior that is likely to differ across databases
+- [`clients`](core/dbt/clients): Interface with dependencies (agate, jinja) or across operating systems
+- [`config`](core/dbt/config): Reconcile user-supplied configuration from connection profiles, project files, and Jinja macros
+- [`context`](core/dbt/context): Build and expose dbt-specific Jinja functionality
+- [`contracts`](core/dbt/contracts): Define Python objects (dataclasses) that dbt expects to create and validate
+- [`deps`](core/dbt/deps): Package installation and dependency resolution
+- [`graph`](core/dbt/graph): Produce a `networkx` DAG of project resources, and selecting those resources given user-supplied criteria
+- [`include`](core/dbt/include): The dbt "global project," which defines default implementations of Jinja2 macros
+- [`parser`](core/dbt/parser): Read project files, validate, construct python objects
+- [`rpc`](core/dbt/rpc): Provide remote procedure call server for invoking dbt, following JSON-RPC 2.0 spec
+- [`task`](core/dbt/task): Set forth the actions that dbt can perform when invoked
 
 ### Invoking dbt
 
-The "tasks" map to top-level dbt commands. So `dbt run` => task.run.RunTask, etc. Some are more like abstract base classes (GraphRunnableTask, for example) but all the concrete types outside of task should map to tasks. Currently one executes at a time. The tasks kick off their “Runners” and those do execute in parallel. The parallelism is managed via a thread pool, in GraphRunnableTask.
+There are two supported ways of invoking dbt: from the command line and using an RPC server.
 
-core/dbt/task/docs/index.html
+The "tasks" map to top-level dbt commands. So `dbt run` => task.run.RunTask, etc. Some are more like abstract base classes (GraphRunnableTask, for example) but all the concrete types outside of task/rpc should map to tasks. Currently one executes at a time. The tasks kick off their “Runners” and those do execute in parallel. The parallelism is managed via a thread pool, in GraphRunnableTask.
+
+core/dbt/include/index.html
 This is the docs website code. It comes from the dbt-docs repository, and is generated when a release is packaged.
 
 ## Adapters
 
-dbt uses an adapter-plugin pattern to extend support to different databases, warehouses, query engines, etc. 
-Note: dbt-postgres used to exist in dbt-core but is now in [its own repo](https://github.com/dbt-labs/dbt-postgres) 
+dbt uses an adapter-plugin pattern to extend support to different databases, warehouses, query engines, etc. The four core adapters that are in the main repository, contained within the [`plugins`](plugins) subdirectory, are: Postgres Redshift, Snowflake and BigQuery. Other warehouses use adapter plugins defined in separate repositories (e.g. [dbt-spark](https://github.com/fishtown-analytics/dbt-spark), [dbt-presto](https://github.com/fishtown-analytics/dbt-presto)).
 
-Each adapter is a mix of python, Jinja2, and SQL. The adapter code also makes heavy use of Jinja2 to wrap modular chunks of SQL functionality, define default implementations, and allow plugins to override it.
+Each adapter is a mix of python, Jinja2, and SQL. The adapter code also makes heavy use of Jinja2 to wrap modular chunks of SQL functionality, define default implementations, and allow plugins to override it. 
 
 Each adapter plugin is a standalone python package that includes:
 
@@ -52,4 +46,4 @@ The [`test/`](test/) subdirectory includes unit and integration tests that run a
 
 - [docker](docker/): All dbt versions are published as Docker images on DockerHub. This subfolder contains the `Dockerfile` (constant) and `requirements.txt` (one for each version).
 - [etc](etc/): Images for README
-- [scripts](scripts/): Helper scripts for testing, releasing, and producing JSON schemas. These are not included in distributions of dbt, nor are they rigorously tested—they're just handy tools for the dbt maintainers :)
+- [scripts](scripts/): Helper scripts for testing, releasing, and producing JSON schemas. These are not included in distributions of dbt, not are they rigorously tested—they're just handy tools for the dbt maintainers :)

CONTRIBUTING.md

@@ -1,76 +1,116 @@
-# Contributing to `dbt-core`
-
-`dbt-core` is open source software. It is what it is today because community members have opened issues, provided feedback, and [contributed to the knowledge loop](https://www.getdbt.com/dbt-labs/values/). Whether you are a seasoned open source contributor or a first-time committer, we welcome and encourage you to contribute code, documentation, ideas, or problem statements to this project.
+# Contributing to `dbt`
 
 1. [About this document](#about-this-document)
-2. [Getting the code](#getting-the-code)
-3. [Setting up an environment](#setting-up-an-environment)
-4. [Running dbt-core in development](#running-dbt-core-in-development)
-5. [Testing dbt-core](#testing)
-6. [Debugging](#debugging)
-7. [Adding or modifying a changelog entry](#adding-or-modifying-a-changelog-entry)
-8. [Submitting a Pull Request](#submitting-a-pull-request)
-9. [Troubleshooting Tips](#troubleshooting-tips)
+2. [Proposing a change](#proposing-a-change)
+3. [Getting the code](#getting-the-code)
+4. [Setting up an environment](#setting-up-an-environment)
+5. [Running `dbt` in development](#running-dbt-in-development)
+6. [Testing](#testing)
+7. [Submitting a Pull Request](#submitting-a-pull-request)
 
 ## About this document
 
-There are many ways to contribute to the ongoing development of `dbt-core`, such as by participating in discussions and issues. We encourage you to first read our higher-level document: ["Expectations for Open Source Contributors"](https://docs.getdbt.com/docs/contributing/oss-expectations).
+This document is a guide intended for folks interested in contributing to `dbt`. Below, we document the process by which members of the community should create issues and submit pull requests (PRs) in this repository. It is not intended as a guide for using `dbt`, and it assumes a certain level of familiarity with Python concepts such as virtualenvs, `pip`, python modules, filesystems, and so on. This guide assumes you are using macOS or Linux and are comfortable with the command line.
 
-The rest of this document serves as a more granular guide for contributing code changes to `dbt-core` (this repository). It is not intended as a guide for using `dbt-core`, and some pieces assume a level of familiarity with Python development (virtualenvs, `pip`, etc). Specific code snippets in this guide assume you are using macOS or Linux and are comfortable with the command line.
+If you're new to python development or contributing to open-source software, we encourage you to read this document from start to finish. If you get stuck, drop us a line in the `#dbt-core-development` channel on [slack](https://community.getdbt.com).
 
-If you get stuck, we're happy to help! Drop us a line in the `#dbt-core-development` channel in the [dbt Community Slack](https://community.getdbt.com).
+### Signing the CLA
 
-### Notes
+Please note that all contributors to `dbt` must sign the [Contributor License Agreement](https://docs.getdbt.com/docs/contributor-license-agreements) to have their Pull Request merged into the `dbt` codebase. If you are unable to sign the CLA, then the `dbt` maintainers will unfortunately be unable to merge your Pull Request. You are, however, welcome to open issues and comment on existing ones.
 
-- **Adapters:** Is your issue or proposed code change related to a specific [database adapter](https://docs.getdbt.com/docs/available-adapters)? If so, please open issues, PRs, and discussions in that adapter's repository instead.
-- **CLA:** Please note that anyone contributing code to `dbt-core` must sign the [Contributor License Agreement](https://docs.getdbt.com/docs/contributor-license-agreements). If you are unable to sign the CLA, the `dbt-core` maintainers will unfortunately be unable to merge any of your Pull Requests. We welcome you to participate in discussions, open issues, and comment on existing ones.
-- **Branches:** All pull requests from community contributors should target the `main` branch (default). If the change is needed as a patch for a minor version of dbt that has already been released (or is already a release candidate), a maintainer will backport the changes in your PR to the relevant "latest" release branch (`1.0.latest`, `1.1.latest`, ...). If an issue fix applies to a release branch, that fix should be first committed to the development branch and then to the release branch (rarely release-branch fixes may not apply to `main`).
-- **Releases**: Before releasing a new minor version of Core, we prepare a series of alphas and release candidates to allow users (especially employees of dbt Labs!) to test the new version in live environments. This is an important quality assurance step, as it exposes the new code to a wide variety of complicated deployments and can surface bugs before official release. Releases are accessible via our [supported installation methods](https://docs.getdbt.com/docs/core/installation-overview#install-dbt-core).
+## Proposing a change
+
+`dbt` is Apache 2.0-licensed open source software. `dbt` is what it is today because community members like you have opened issues, provided feedback, and contributed to the knowledge loop for the entire communtiy. Whether you are a seasoned open source contributor or a first-time committer, we welcome and encourage you to contribute code, documentation, ideas, or problem statements to this project.
+
+### Defining the problem
+
+If you have an idea for a new feature or if you've discovered a bug in `dbt`, the first step is to open an issue. Please check the list of [open issues](https://github.com/dbt-labs/dbt/issues) before creating a new one. If you find a relevant issue, please add a comment to the open issue instead of creating a new one. There are hundreds of open issues in this repository and it can be hard to know where to look for a relevant open issue. **The `dbt` maintainers are always happy to point contributors in the right direction**, so please err on the side of documenting your idea in a new issue if you are unsure where a problem statement belongs.
+
+> **Note:** All community-contributed Pull Requests _must_ be associated with an open issue. If you submit a Pull Request that does not pertain to an open issue, you will be asked to create an issue describing the problem before the Pull Request can be reviewed.
+
+### Discussing the idea
+
+After you open an issue, a `dbt` maintainer will follow up by commenting on your issue (usually within 1-3 days) to explore your idea further and advise on how to implement the suggested changes. In many cases, community members will chime in with their own thoughts on the problem statement. If you as the issue creator are interested in submitting a Pull Request to address the issue, you should indicate this in the body of the issue. The `dbt` maintainers are _always_ happy to help contributors with the implementation of fixes and features, so please also indicate if there's anything you're unsure about or could use guidance around in the issue.
+
+### Submitting a change
+
+If an issue is appropriately well scoped and describes a beneficial change to the `dbt` codebase, then anyone may submit a Pull Request to implement the functionality described in the issue. See the sections below on how to do this.
+
+The `dbt` maintainers will add a `good first issue` label if an issue is suitable for a first-time contributor. This label often means that the required code change is small, limited to one database adapter, or a net-new addition that does not impact existing functionality. You can see the list of currently open issues on the [Contribute](https://github.com/dbt-labs/dbt/contribute) page.
+
+Here's a good workflow:
+- Comment on the open issue, expressing your interest in contributing the required code change
+- Outline your planned implementation. If you want help getting started, ask!
+- Follow the steps outlined below to develop locally. Once you have opened a PR, one of the `dbt` maintainers will work with you to review your code.
+- Add a test! Tests are crucial for both fixes and new features alike. We want to make sure that code works as intended, and that it avoids any bugs  previously encountered. Currently, the best resource for understanding `dbt`'s [unit](test/unit) and [integration](test/integration) tests is the tests themselves. One of the maintainers can help by pointing out relevant examples.
+
+In some cases, the right resolution to an open issue might be tangential to the `dbt` codebase. The right path forward might be a documentation update or a change that can be made in user-space. In other cases, the issue might describe functionality that the `dbt` maintainers are unwilling or unable to incorporate into the `dbt` codebase. When it is determined that an open issue describes functionality that will not translate to a code change in the `dbt` repository, the issue will be tagged with the `wontfix` label (see below) and closed.
+
+### Using issue labels
+
+The `dbt` maintainers use labels to categorize open issues. Some labels indicate the databases impacted by the issue, while others describe the domain in the `dbt` codebase germane to the discussion. While most of these labels are self-explanatory (eg. `snowflake` or `bigquery`), there are others that are worth describing.
+
+| tag | description |
+| --- | ----------- |
+| [triage](https://github.com/dbt-labs/dbt/labels/triage) | This is a new issue which has not yet been reviewed by a `dbt` maintainer. This label is removed when a maintainer reviews and responds to the issue. |
+| [bug](https://github.com/dbt-labs/dbt/labels/bug) | This issue represents a defect or regression in `dbt` |
+| [enhancement](https://github.com/dbt-labs/dbt/labels/enhancement) | This issue represents net-new functionality in `dbt` |
+| [good first issue](https://github.com/dbt-labs/dbt/labels/good%20first%20issue) | This issue does not require deep knowledge of the `dbt` codebase to implement. This issue is appropriate for a first-time contributor. |
+| [help wanted](https://github.com/dbt-labs/dbt/labels/help%20wanted) / [discussion](https://github.com/dbt-labs/dbt/labels/discussion) | Conversation around this issue in ongoing, and there isn't yet a clear path forward. Input from community members is most welcome. |
+| [duplicate](https://github.com/dbt-labs/dbt/issues/duplicate) | This issue is functionally identical to another open issue. The `dbt` maintainers will close this issue and encourage community members to focus conversation on the other one. |
+| [snoozed](https://github.com/dbt-labs/dbt/labels/snoozed) | This issue describes a good idea, but one which will probably not be addressed in a six-month time horizon. The `dbt` maintainers will revist these issues periodically and re-prioritize them accordingly. |
+| [stale](https://github.com/dbt-labs/dbt/labels/stale) | This is an old issue which has not recently been updated. Stale issues will periodically be closed by `dbt` maintainers, but they can be re-opened if the discussion is restarted. |
+| [wontfix](https://github.com/dbt-labs/dbt/labels/wontfix) | This issue does not require a code change in the `dbt` repository, or the maintainers are unwilling/unable to merge a Pull Request which implements the behavior described in the issue. |
+
+#### Branching Strategy
+
+`dbt` has three types of branches:
+
+- **Trunks** are where active development of the next release takes place. There is one trunk named `develop` at the time of writing this, and will be the default branch of the repository.
+- **Release Branches** track a specific, not yet complete release of `dbt`. Each minor version release has a corresponding release branch. For example, the `0.11.x` series of releases has a branch called `0.11.latest`. This allows us to release new patch versions under `0.11` without necessarily needing to pull them into the latest version of `dbt`.
+- **Feature Branches** track individual features and fixes. On completion they should be merged into the trunk brnach or a specific release branch.
 
 ## Getting the code
 
 ### Installing git
 
-You will need `git` in order to download and modify the `dbt-core` source code. On macOS, the best way to download git is to just install [Xcode](https://developer.apple.com/support/xcode/).
+You will need `git` in order to download and modify the `dbt` source code. On macOS, the best way to download git is to just install [Xcode](https://developer.apple.com/support/xcode/).
 
 ### External contributors
 
-If you are not a member of the `dbt-labs` GitHub organization, you can contribute to `dbt-core` by forking the `dbt-core` repository. For a detailed overview on forking, check out the [GitHub docs on forking](https://help.github.com/en/articles/fork-a-repo). In short, you will need to:
+If you are not a member of the `dbt-labs` GitHub organization, you can contribute to `dbt` by forking the `dbt` repository. For a detailed overview on forking, check out the [GitHub docs on forking](https://help.github.com/en/articles/fork-a-repo). In short, you will need to:
 
-1. Fork the `dbt-core` repository
-2. Clone your fork locally
-3. Check out a new branch for your proposed changes
-4. Push changes to your fork
-5. Open a pull request against `dbt-labs/dbt-core` from your forked repository
+1. fork the `dbt` repository
+2. clone your fork locally
+3. check out a new branch for your proposed changes
+4. push changes to your fork
+5. open a pull request against `dbt-labs/dbt` from your forked repository
 
-### dbt Labs contributors
+### Core contributors
 
-If you are a member of the `dbt-labs` GitHub organization, you will have push access to the `dbt-core` repo. Rather than forking `dbt-core` to make your changes, just clone the repository, check out a new branch, and push directly to that branch.
+If you are a member of the `dbt-labs` GitHub organization, you will have push access to the `dbt` repo. Rather than forking `dbt` to make your changes, just clone the repository, check out a new branch, and push directly to that branch.
 
 ## Setting up an environment
 
-There are some tools that will be helpful to you in developing locally. While this is the list relevant for `dbt-core` development, many of these tools are used commonly across open-source python projects.
+There are some tools that will be helpful to you in developing locally. While this is the list relevant for `dbt` development, many of these tools are used commonly across open-source python projects.
 
 ### Tools
 
-These are the tools used in `dbt-core` development and testing:
+A short list of tools used in `dbt` testing that will be helpful to your understanding:
 
-- [`tox`](https://tox.readthedocs.io/en/latest/) to manage virtualenvs across python versions. We currently target the latest patch releases for Python 3.8, 3.9, 3.10 and 3.11
-- [`pytest`](https://docs.pytest.org/en/latest/) to define, discover, and run tests
+- [`tox`](https://tox.readthedocs.io/en/latest/) to manage virtualenvs across python versions. We currently target the latest patch releases for Python 3.6, Python 3.7, Python 3.8, and Python 3.9
+- [`pytest`](https://docs.pytest.org/en/latest/) to discover/run tests
+- [`make`](https://users.cs.duke.edu/~ola/courses/programming/Makefiles/Makefiles.html) - but don't worry too much, nobody _really_ understands how make works and our Makefile is super simple
 - [`flake8`](https://flake8.pycqa.org/en/latest/) for code linting
-- [`black`](https://github.com/psf/black) for code formatting
 - [`mypy`](https://mypy.readthedocs.io/en/stable/) for static type checking
-- [`pre-commit`](https://pre-commit.com) to easily run those checks
-- [`changie`](https://changie.dev/) to create changelog entries, without merge conflicts
-- [`make`](https://users.cs.duke.edu/~ola/courses/programming/Makefiles/Makefiles.html) to run multiple setup or test steps in combination. Don't worry too much, nobody _really_ understands how `make` works, and our Makefile aims to be super simple.
-- [GitHub Actions](https://github.com/features/actions) for automating tests and checks, once a PR is pushed to the `dbt-core` repository
+- [CircleCI](https://circleci.com/product/) and [Azure Pipelines](https://azure.microsoft.com/en-us/services/devops/pipelines/)
 
-A deep understanding of these tools in not required to effectively contribute to `dbt-core`, but we recommend checking out the attached documentation if you're interested in learning more about each one.
+A deep understanding of these tools in not required to effectively contribute to `dbt`, but we recommend checking out the attached documentation if you're interested in learning more about them.
 
-#### Virtual environments
+#### virtual environments
 
-We strongly recommend using virtual environments when developing code in `dbt-core`. We recommend creating this virtualenv
-in the root of the `dbt-core` repository. To create a new virtualenv, run:
+We strongly recommend using virtual environments when developing code in `dbt`. We recommend creating this virtualenv
+in the root of the `dbt` repository. To create a new virtualenv, run:
 ```sh
 python3 -m venv env
 source env/bin/activate
@@ -78,12 +118,12 @@ source env/bin/activate
 
 This will create and activate a new Python virtual environment.
 
-#### Docker and `docker-compose`
+#### docker and docker-compose
 
-Docker and `docker-compose` are both used in testing. Specific instructions for you OS can be found [here](https://docs.docker.com/get-docker/).
+Docker and docker-compose are both used in testing. Specific instructions for you OS can be found [here](https://docs.docker.com/get-docker/).
 
 
-#### Postgres (optional)
+#### postgres (optional)
 
 For testing, and later in the examples in this document, you may want to have `psql` available so you can poke around in the database and see what happened. We recommend that you use [homebrew](https://brew.sh/) for that on macOS, and your package manager on Linux. You can install any version of the postgres client that you'd like. On macOS, with homebrew setup, you can run:
 
@@ -91,41 +131,35 @@ For testing, and later in the examples in this document, you may want to have `p
 brew install postgresql
 ```
 
-## Running `dbt-core` in development
+## Running `dbt` in development
 
 ### Installation
 
-First make sure that you set up your `virtualenv` as described in [Setting up an environment](#setting-up-an-environment).  Also ensure you have the latest version of pip installed with `pip install --upgrade pip`. Next, install `dbt-core` (and its dependencies):
+First make sure that you set up your `virtualenv` as described in [Setting up an environment](#setting-up-an-environment). Next, install `dbt` (and its dependencies) with:
 
 ```sh
 make dev
-```
-or, alternatively:
-```sh
+# or
 pip install -r dev-requirements.txt -r editable-requirements.txt
-pre-commit install
 ```
 
-When installed in this way, any changes you make to your local copy of the source code will be reflected immediately in your next `dbt` run.
+When `dbt` is installed this way, any changes you make to the `dbt` source code will be reflected immediately in your next `dbt` run.
 
-### Running `dbt-core`
+### Running `dbt`
 
 With your virtualenv activated, the `dbt` script should point back to the source code you've cloned on your machine. You can verify this by running `which dbt`. This command should show you a path to an executable in your virtualenv.
 
-Configure your [profile](https://docs.getdbt.com/docs/configure-your-profile) as necessary to connect to your target databases. It may be a good idea to add a new profile pointing to a local Postgres instance, or a specific test sandbox within your data warehouse if appropriate. Make sure to create a profile before running integration tests.
+Configure your [profile](https://docs.getdbt.com/docs/configure-your-profile) as necessary to connect to your target databases. It may be a good idea to add a new profile pointing to a local postgres instance, or a specific test sandbox within your data warehouse if appropriate.
 
 ## Testing
 
-Once you're able to manually test that your code change is working as expected, it's important to run existing automated tests, as well as adding some new ones. These tests will ensure that:
-- Your code changes do not unexpectedly break other established functionality
-- Your code changes can handle all known edge cases
-- The functionality you're adding will _keep_ working in the future
+Getting the `dbt` integration tests set up in your local environment will be very helpful as you start to make changes to your local version of `dbt`. The section that follows outlines some helpful tips for setting up the test environment.
 
-Although `dbt-core` works with a number of different databases, you won't need to supply credentials for every one of these databases in your test environment. Instead, you can test most `dbt-core` code changes with Python and Postgres.
+Since `dbt` works with a number of different databases, you will need to supply credentials for one or more of these databases in your test environment. Most organizations don't have access to each of a BigQuery, Redshift, Snowflake, and Postgres database, so it's likely that you will be unable to run every integration test locally. Fortunately, dbt Labs provides a CI environment with access to sandboxed Redshift, Snowflake, BigQuery, and Postgres databases. See the section on [_Submitting a Pull Request_](#submitting-a-pull-request) below for more information on this CI setup.
 
 ### Initial setup
 
-Postgres offers the easiest way to test most `dbt-core` functionality today. They are the fastest to run, and the easiest to set up. To run the Postgres integration tests, you'll have to do one extra step of setting up the test database:
+We recommend starting with `dbt`'s Postgres tests. These tests cover most of the functionality in `dbt`, are the fastest to run, and are the easiest to set up. To run the Postgres integration tests, you'll have to do one extra step of setting up the test database:
 
 ```sh
 make setup-db
@@ -136,6 +170,15 @@ docker-compose up -d database
 PGHOST=localhost PGUSER=root PGPASSWORD=password PGDATABASE=postgres bash test/setup_db.sh
 ```
 
+`dbt` uses test credentials specified in a `test.env` file in the root of the repository for non-Postgres databases. This `test.env` file is git-ignored, but please be _extra_ careful to never check in credentials or other sensitive information when developing against `dbt`. To create your `test.env` file, copy the provided sample file, then supply your relevant credentials. This step is only required to use non-Postgres databases.
+
+```
+cp test.env.sample test.env
+$EDITOR test.env
+```
+
+> In general, it's most important to have successful unit and Postgres tests. Once you open a PR, `dbt` will automatically run integration tests for the other three core database adapters. Of course, if you are a BigQuery user, contributing a BigQuery-only feature, it's important to run BigQuery tests as well.
+
 ### Test commands
 
 There are a few methods for running tests locally.
@@ -151,81 +194,38 @@ make test
 # Runs postgres integration tests with py38 in "fail fast" mode.
 make integration
 ```
-> These make targets assume you have a local installation of a recent version of [`tox`](https://tox.readthedocs.io/en/latest/) for unit/integration testing and pre-commit for code quality checks,
+> These make targets assume you have a recent version of [`tox`](https://tox.readthedocs.io/en/latest/) installed locally,
 > unless you use choose a Docker container to run tests. Run `make help` for more info.
 
 Check out the other targets in the Makefile to see other commonly used test
 suites.
 
-#### `pre-commit`
-[`pre-commit`](https://pre-commit.com) takes care of running all code-checks for formatting and linting. Run `make dev` to install `pre-commit` in your local environment (we recommend running this command with a python virtual environment active). This command installs several pip executables including black, mypy, and flake8. Once this is done you can use any of the linter-based make targets as well as a git pre-commit hook that will ensure proper formatting and linting.
-
 #### `tox`
 
-[`tox`](https://tox.readthedocs.io/en/latest/) takes care of managing virtualenvs and install dependencies in order to run tests. You can also run tests in parallel, for example, you can run unit tests for Python 3.8, Python 3.9, Python 3.10 and Python 3.11 checks in parallel with `tox -p`. Also, you can run unit tests for specific python versions with `tox -e py38`. The configuration for these tests in located in `tox.ini`.
+[`tox`](https://tox.readthedocs.io/en/latest/) takes care of managing virtualenvs and install dependencies in order to run
+tests. You can also run tests in parallel, for example, you can run unit tests
+for Python 3.6, Python 3.7, Python 3.8, `flake8` checks, and `mypy` checks in
+parallel with `tox -p`. Also, you can run unit tests for specific python versions
+with `tox -e py36`. The configuration for these tests in located in `tox.ini`.
 
 #### `pytest`
 
-Finally, you can also run a specific test or group of tests using [`pytest`](https://docs.pytest.org/en/latest/) directly. With a virtualenv active and dev dependencies installed you can do things like:
-
+Finally, you can also run a specific test or group of tests using [`pytest`](https://docs.pytest.org/en/latest/) directly. With a virtualenv
+active and dev dependencies installed you can do things like:
 ```sh
+# run specific postgres integration tests
+python -m pytest -m profile_postgres test/integration/001_simple_copy_test
 # run all unit tests in a file
-python3 -m pytest tests/unit/test_base_column.py
+python -m pytest test/unit/test_graph.py
 # run a specific unit test
-python3 -m pytest tests/unit/test_base_column.py::TestNumericType::test__numeric_type
-# run specific Postgres functional tests
-python3 -m pytest tests/functional/sources
+python -m pytest test/unit/test_graph.py::GraphTest::test__dependency_list
 ```
-
-> See [pytest usage docs](https://docs.pytest.org/en/6.2.x/usage.html) for an overview of useful command-line options.
-
-### Unit, Integration, Functional?
-
-Here are some general rules for adding tests:
-* unit tests (`tests/unit`) don’t need to access a database; "pure Python" tests should be written as unit tests
-* functional tests (`tests/functional`) cover anything that interacts with a database, namely adapter
-
-## Debugging
-
-1. The logs for a `dbt run` have stack traces and other information for debugging errors (in `logs/dbt.log` in your project directory).
-2. Try using a debugger, like `ipdb`. For pytest: `--pdb --pdbcls=IPython.terminal.debugger:pdb`
-3. Sometimes, it’s easier to debug on a single thread: `dbt --single-threaded run`
-4. To make print statements from Jinja macros:  `{{ log(msg, info=true) }}`
-5. You can also add `{{ debug() }}` statements, which will drop you into some auto-generated code that the macro wrote.
-6. The dbt “artifacts” are written out to the ‘target’ directory of your dbt project. They are in unformatted json, which can be hard to read. Format them with:
-> python -m json.tool target/run_results.json > run_results.json
-
-### Assorted development tips
-* Append `# type: ignore` to the end of a line if you need to disable `mypy` on that line.
-* Sometimes flake8 complains about lines that are actually fine, in which case you can put a comment on the line such as: # noqa or # noqa: ANNN, where ANNN is the error code that flake8 issues.
-* To collect output for `CProfile`, run dbt with the `-r` option and the name of an output file, i.e. `dbt -r dbt.cprof run`. If you just want to profile parsing, you can do: `dbt -r dbt.cprof parse`. `pip` install `snakeviz` to view the output. Run `snakeviz dbt.cprof` and output will be rendered in a browser window.
-
-## Adding or modifying a CHANGELOG Entry
-
-We use [changie](https://changie.dev) to generate `CHANGELOG` entries. **Note:** Do not edit the `CHANGELOG.md` directly. Your modifications will be lost.
-
-Follow the steps to [install `changie`](https://changie.dev/guide/installation/) for your system.
-
-Once changie is installed and your PR is created for a new feature, simply run the following command and changie will walk you through the process of creating a changelog entry:
-
-```shell
-changie new
-```
-
-Commit the file that's created and your changelog entry is complete!
-
-If you are contributing to a feature already in progress, you will modify the changie yaml file in dbt/.changes/unreleased/ related to your change. If you need help finding this file, please ask within the discussion for the pull request!
-
-You don't need to worry about which `dbt-core` version your change will go into. Just create the changelog entry with `changie`, and open your PR against the `main` branch. All merged changes will be included in the next minor version of `dbt-core`. The Core maintainers _may_ choose to "backport" specific changes in order to patch older minor versions. In that case, a maintainer will take care of that backport after merging your PR, before releasing the new version of `dbt-core`.
-
+> [Here](https://docs.pytest.org/en/reorganize-docs/new-docs/user/commandlineuseful.html)
+> is a list of useful command-line options for `pytest` to use while developing.
 ## Submitting a Pull Request
 
-Code can be merged into the current development branch `main` by opening a pull request. If the proposal looks like it's on the right track, then a `dbt-core` maintainer will triage the PR and label it as `ready_for_review`. From this point, two code reviewers will be assigned with the aim of responding to any updates to the PR within about one week. They may suggest code revision for style or clarity, or request that you add unit or integration test(s). These are good things! We believe that, with a little bit of help, anyone can contribute high-quality code. Once merged, your contribution will be available for the next release of `dbt-core`.
+dbt Labs provides a sandboxed Redshift, Snowflake, and BigQuery database for use in a CI environment. When pull requests are submitted to the `dbt-labs/dbt` repo, GitHub will trigger automated tests in CircleCI and Azure Pipelines.
 
-Automated tests run via GitHub Actions. If you're a first-time contributor, all tests (including code checks and unit tests) will require a maintainer to approve. Changes in the `dbt-core` repository trigger integration tests against Postgres. dbt Labs also provides CI environments in which to test changes to other adapters, triggered by PRs in those adapters' repositories, as well as periodic maintenance checks of each adapter in concert with the latest `dbt-core` code changes.
+A `dbt` maintainer will review your PR. They may suggest code revision for style or clarity, or request that you add unit or integration test(s). These are good things! We believe that, with a little bit of help, anyone can contribute high-quality code.
 
-Once all tests are passing and your PR has been approved, a `dbt-core` maintainer will merge your changes into the active development branch. And that's it! Happy developing :tada:
-
-## Troubleshooting Tips
-
-Sometimes, the content license agreement auto-check bot doesn't find a user's entry in its roster. If you need to force a rerun, add `@cla-bot check` in a comment on the pull request.
+Once all tests are passing and your PR has been approved, a `dbt` maintainer will merge your changes into the active development branch. And that's it! Happy developing :tada:

Dockerfile.test

@@ -1,15 +1,10 @@
-##
-#  This dockerfile is used for local development and adapter testing only.
-#  See `/docker` for a generic and production-ready docker file
-##
-
-FROM ubuntu:22.04
+FROM ubuntu:18.04
 
 ENV DEBIAN_FRONTEND noninteractive
 
 RUN apt-get update \
     && apt-get install -y --no-install-recommends \
-    software-properties-common gpg-agent \
+    software-properties-common \
     && add-apt-repository ppa:git-core/ppa -y \
     && apt-get dist-upgrade -y \
     && apt-get install -y --no-install-recommends \
@@ -30,21 +25,22 @@ RUN apt-get update \
     unixodbc-dev \
     && add-apt-repository ppa:deadsnakes/ppa \
     && apt-get install -y \
-    python-is-python3 \
-    python-dev-is-python3 \
+    python \
+    python-dev \
+    python-pip \
+    python3.6 \
+    python3.6-dev \
     python3-pip \
+    python3.6-venv \
+    python3.7 \
+    python3.7-dev \
+    python3.7-venv \
     python3.8 \
     python3.8-dev \
     python3.8-venv \
     python3.9 \
     python3.9-dev \
     python3.9-venv \
-    python3.10 \
-    python3.10-dev \
-    python3.10-venv \
-    python3.11 \
-    python3.11-dev \
-    python3.11-venv \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
 

Makefile

@@ -6,102 +6,71 @@ ifeq ($(USE_DOCKER),true)
 	DOCKER_CMD := docker-compose run --rm test
 endif
 
-#
-# To override CI_flags, create a file at this repo's root dir named `makefile.test.env`. Fill it
-# with any ENV_VAR overrides required by your test environment, e.g.
-#    DBT_TEST_USER_1=user
-#    LOG_DIR="dir with a space in it"
-#
-# Warn: Restrict each line to one variable only.
-#
-ifeq (./makefile.test.env,$(wildcard ./makefile.test.env))
-	include ./makefile.test.env
-endif
-
-CI_FLAGS =\
-	DBT_TEST_USER_1=$(if $(DBT_TEST_USER_1),$(DBT_TEST_USER_1),dbt_test_user_1)\
-	DBT_TEST_USER_2=$(if $(DBT_TEST_USER_2),$(DBT_TEST_USER_2),dbt_test_user_2)\
-	DBT_TEST_USER_3=$(if $(DBT_TEST_USER_3),$(DBT_TEST_USER_3),dbt_test_user_3)\
-	RUSTFLAGS=$(if $(RUSTFLAGS),$(RUSTFLAGS),"-D warnings")\
-	LOG_DIR=$(if $(LOG_DIR),$(LOG_DIR),./logs)\
-	DBT_LOG_FORMAT=$(if $(DBT_LOG_FORMAT),$(DBT_LOG_FORMAT),json)
-
-
-.PHONY: dev_req
-dev_req: ## Installs dbt-* packages in develop mode along with only development dependencies.
-	@\
+.PHONY: dev
+dev: ## Installs dbt-* packages in develop mode along with development dependencies.
 	pip install -r dev-requirements.txt -r editable-requirements.txt
 
-.PHONY: dev
-dev: dev_req ## Installs dbt-* packages in develop mode along with development dependencies and pre-commit.
-	@\
-	pre-commit install
-
-.PHONY: dev-uninstall
-dev-uninstall: ## Uninstall all packages in venv except for build tools
-	@\
-    pip freeze | grep -v "^-e" | cut -d "@" -f1 | xargs pip uninstall -y; \
-    pip uninstall -y dbt-core
-
-.PHONY: core_proto_types
-core_proto_types:  ## generates google protobuf python file from core_types.proto
-	protoc -I=./core/dbt/events --python_out=./core/dbt/events ./core/dbt/events/core_types.proto
-
 .PHONY: mypy
-mypy: .env ## Runs mypy against staged changes for static type checking.
-	@\
-	$(DOCKER_CMD) pre-commit run --hook-stage manual mypy-check | grep -v "INFO"
+mypy: .env ## Runs mypy for static type checking.
+	$(DOCKER_CMD) tox -e mypy
 
 .PHONY: flake8
-flake8: .env ## Runs flake8 against staged changes to enforce style guide.
-	@\
-	$(DOCKER_CMD) pre-commit run --hook-stage manual flake8-check | grep -v "INFO"
-
-.PHONY: black
-black: .env ## Runs black  against staged changes to enforce style guide.
-	@\
-	$(DOCKER_CMD) pre-commit run --hook-stage manual black-check -v | grep -v "INFO"
+flake8: .env ## Runs flake8 to enforce style guide.
+	$(DOCKER_CMD) tox -e flake8
 
 .PHONY: lint
-lint: .env ## Runs flake8 and mypy code checks against staged changes.
-	@\
-	$(DOCKER_CMD) pre-commit run flake8-check --hook-stage manual | grep -v "INFO"; \
-	$(DOCKER_CMD) pre-commit run mypy-check --hook-stage manual | grep -v "INFO"
+lint: .env ## Runs all code checks in parallel.
+	$(DOCKER_CMD) tox -p -e flake8,mypy
 
 .PHONY: unit
-unit: .env ## Runs unit tests with py
-	@\
-	$(DOCKER_CMD) tox -e py
+unit: .env ## Runs unit tests with py38.
+	$(DOCKER_CMD) tox -e py38
 
 .PHONY: test
-test: .env ## Runs unit tests with py and code checks against staged changes.
-	@\
-	$(DOCKER_CMD) tox -e py; \
-	$(DOCKER_CMD) pre-commit run black-check --hook-stage manual | grep -v "INFO"; \
-	$(DOCKER_CMD) pre-commit run flake8-check --hook-stage manual | grep -v "INFO"; \
-	$(DOCKER_CMD) pre-commit run mypy-check --hook-stage manual | grep -v "INFO"
+test: .env ## Runs unit tests with py38 and code checks in parallel.
+	$(DOCKER_CMD) tox -p -e py38,flake8,mypy
 
 .PHONY: integration
-integration: .env ## Runs core integration tests using postgres with py-integration
-	@\
-	$(CI_FLAGS) $(DOCKER_CMD) tox -e py-integration -- -nauto
+integration: .env integration-postgres ## Alias for integration-postgres.
 
 .PHONY: integration-fail-fast
-integration-fail-fast: .env ## Runs core integration tests using postgres with py-integration in "fail fast" mode.
-	@\
-	$(DOCKER_CMD) tox -e py-integration -- -x -nauto
+integration-fail-fast: .env integration-postgres-fail-fast ## Alias for integration-postgres-fail-fast.
 
-.PHONY: interop
-interop: clean
-	@\
-	mkdir $(LOG_DIR) && \
-	$(CI_FLAGS) $(DOCKER_CMD) tox -e py-integration -- -nauto && \
-	LOG_DIR=$(LOG_DIR) cargo run --manifest-path test/interop/log_parsing/Cargo.toml
+.PHONY: integration-postgres
+integration-postgres: .env ## Runs postgres integration tests with py38.
+	$(DOCKER_CMD) tox -e py38-postgres -- -nauto
+
+.PHONY: integration-postgres-fail-fast
+integration-postgres-fail-fast: .env ## Runs postgres integration tests with py38 in "fail fast" mode.
+	$(DOCKER_CMD) tox -e py38-postgres -- -x -nauto
+
+.PHONY: integration-redshift
+integration-redshift: .env ## Runs redshift integration tests with py38.
+	$(DOCKER_CMD) tox -e py38-redshift -- -nauto
+
+.PHONY: integration-redshift-fail-fast
+integration-redshift-fail-fast: .env ## Runs redshift integration tests with py38 in "fail fast" mode.
+	$(DOCKER_CMD) tox -e py38-redshift -- -x -nauto
+
+.PHONY: integration-snowflake
+integration-snowflake: .env ## Runs snowflake integration tests with py38.
+	$(DOCKER_CMD) tox -e py38-snowflake -- -nauto
+
+.PHONY: integration-snowflake-fail-fast
+integration-snowflake-fail-fast: .env ## Runs snowflake integration tests with py38 in "fail fast" mode.
+	$(DOCKER_CMD) tox -e py38-snowflake -- -x -nauto
+
+.PHONY: integration-bigquery
+integration-bigquery: .env ## Runs bigquery integration tests with py38.
+	$(DOCKER_CMD) tox -e py38-bigquery -- -nauto
+
+.PHONY: integration-bigquery-fail-fast
+integration-bigquery-fail-fast: .env ## Runs bigquery integration tests with py38 in "fail fast" mode.
+	$(DOCKER_CMD) tox -e py38-bigquery -- -x -nauto
 
 .PHONY: setup-db
 setup-db: ## Setup Postgres database with docker-compose for system testing.
-	@\
-	docker-compose up -d database && \
+	docker-compose up -d database
 	PGHOST=localhost PGUSER=root PGPASSWORD=password PGDATABASE=postgres bash test/setup_db.sh
 
 # This rule creates a file named .env that is used by docker-compose for passing
@@ -117,30 +86,27 @@ endif
 
 .PHONY: clean
 clean: ## Resets development environment.
-	@echo 'cleaning repo...'
-	@rm -f .coverage
-	@rm -f .coverage.*
-	@rm -rf .eggs/
-	@rm -f .env
-	@rm -rf .tox/
-	@rm -rf build/
-	@rm -rf dbt.egg-info/
-	@rm -f dbt_project.yml
-	@rm -rf dist/
-	@rm -f htmlcov/*.{css,html,js,json,png}
-	@rm -rf logs/
-	@rm -rf target/
-	@find . -type f -name '*.pyc' -delete
-	@find . -type d -name '__pycache__' -depth -delete
-	@echo 'done.'
-
+	rm -f .coverage
+	rm -rf .eggs/
+	rm -f .env
+	rm -rf .tox/
+	rm -rf build/
+	rm -rf dbt.egg-info/
+	rm -f dbt_project.yml
+	rm -rf dist/
+	rm -f htmlcov/*.{css,html,js,json,png}
+	rm -rf logs/
+	rm -rf target/
+	find . -type f -name '*.pyc' -delete
+	find . -type d -name '__pycache__' -depth -delete
 
 .PHONY: help
 help: ## Show this help message.
 	@echo 'usage: make [target] [USE_DOCKER=true]'
 	@echo
 	@echo 'targets:'
-	@grep -E '^[8+a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
+	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 	@echo
 	@echo 'options:'
 	@echo 'use USE_DOCKER=true to run target in a docker container'
+

README.md

@@ -1,15 +1,21 @@
 <p align="center">
-  <img src="https://raw.githubusercontent.com/dbt-labs/dbt-core/fa1ea14ddfb1d5ae319d5141844910dd53ab2834/etc/dbt-core.svg" alt="dbt logo" width="750"/>
+  <img src="https://raw.githubusercontent.com/dbt-labs/dbt/ec7dee39f793aa4f7dd3dae37282cc87664813e4/etc/dbt-logo-full.svg" alt="dbt logo" width="500"/>
 </p>
 <p align="center">
-  <a href="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml">
-    <img src="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml/badge.svg?event=push" alt="CI Badge"/>
+  <a href="https://github.com/dbt-labs/dbt/actions/workflows/tests.yml?query=branch%3Adevelop">
+    <img src="https://github.com/dbt-labs/dbt/actions/workflows/tests.yml/badge.svg" alt="GitHub Actions"/>
+  </a>
+  <a href="https://circleci.com/gh/dbt-labs/dbt/tree/develop">
+    <img src="https://circleci.com/gh/dbt-labs/dbt/tree/develop.svg?style=svg"  alt="CircleCI" />
+  </a>
+  <a href="https://dev.azure.com/fishtown-analytics/dbt/_build?definitionId=1&_a=summary&repositoryFilter=1&branchFilter=789%2C789%2C789%2C789">
+    <img src="https://dev.azure.com/fishtown-analytics/dbt/_apis/build/status/fishtown-analytics.dbt?branchName=develop" alt="Azure Pipelines" />
   </a>
 </p>
 
 **[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
 
-![architecture](https://github.com/dbt-labs/dbt-core/blob/202cb7e51e218c7b29eb3b11ad058bd56b7739de/etc/dbt-transform.png)
+![dbt architecture](https://raw.githubusercontent.com/dbt-labs/dbt/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-arch.png)
 
 ## Understanding dbt
 
@@ -17,11 +23,11 @@ Analysts using dbt can transform their data by simply writing select statements,
 
 These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).
 
-![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-dag.png)
+![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-dag.png)
 
 ## Getting started
 
-- [Install dbt Core](https://docs.getdbt.com/docs/get-started/installation) or explore the [dbt Cloud CLI](https://docs.getdbt.com/docs/cloud/cloud-cli-installation), a command-line interface powered by [dbt Cloud](https://docs.getdbt.com/docs/cloud/about-cloud/dbt-cloud-features) that enhances collaboration.
+- [Install dbt](https://docs.getdbt.com/docs/installation)
 - Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)
 
 ## Join the dbt Community
@@ -31,8 +37,8 @@ These select statements, or "models", form a dbt project. Models frequently buil
 
 ## Reporting bugs and contributing code
 
-- Want to report a bug or request a feature? Let us know and open [an issue](https://github.com/dbt-labs/dbt-core/issues/new/choose)
-- Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt-core/blob/HEAD/CONTRIBUTING.md)
+- Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/), or open [an issue](https://github.com/dbt-labs/dbt/issues/new)
+- Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt/blob/HEAD/CONTRIBUTING.md)
 
 ## Code of Conduct
 

SECURITY.md

@@ -1 +0,0 @@
-[About dbt Core versions](https://docs.getdbt.com/docs/dbt-versions/core)

azure-pipelines.yml

@@ -0,0 +1,154 @@
+# Python package
+# Create and test a Python package on multiple Python versions.
+# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
+# https://docs.microsoft.com/azure/devops/pipelines/languages/python
+
+trigger:
+  branches:
+    include:
+    - develop
+    - '*.latest'
+    - pr/*
+
+jobs:
+- job: UnitTest
+  pool:
+    vmImage: 'vs2017-win2016'
+  steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.7'
+      architecture: 'x64'
+
+  - script: python -m pip install --upgrade pip && pip install tox
+    displayName: 'Install dependencies'
+
+  - script: python -m tox -e py -- -v
+    displayName: Run unit tests
+
+- job: PostgresIntegrationTest
+  pool:
+    vmImage: 'vs2017-win2016'
+  dependsOn: UnitTest
+
+  steps:
+  - pwsh: |
+      $serviceName = Get-Service -Name postgresql*
+      Set-Service -InputObject $serviceName -StartupType Automatic
+      Start-Service -InputObject $serviceName
+
+      & $env:PGBIN\createdb.exe -U postgres dbt
+      & $env:PGBIN\psql.exe  -U postgres -c "CREATE ROLE root WITH PASSWORD 'password';"
+      & $env:PGBIN\psql.exe  -U postgres -c "ALTER ROLE root WITH LOGIN;"
+      & $env:PGBIN\psql.exe  -U postgres -c "GRANT CREATE, CONNECT ON DATABASE dbt TO root WITH GRANT OPTION;"
+      & $env:PGBIN\psql.exe  -U postgres -c "CREATE ROLE noaccess WITH PASSWORD 'password' NOSUPERUSER;"
+      & $env:PGBIN\psql.exe  -U postgres -c "ALTER ROLE noaccess WITH LOGIN;"
+      & $env:PGBIN\psql.exe  -U postgres -c "GRANT CONNECT ON DATABASE dbt TO noaccess;"
+    displayName: Install postgresql and set up database
+
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.7'
+      architecture: 'x64'
+
+  - script: python -m pip install --upgrade pip && pip install tox
+    displayName: 'Install dependencies'
+
+  - script: python -m tox -e py-postgres -- -v -n4
+    displayName: Run integration tests
+
+# These three are all similar except secure environment variables, which MUST be passed along to their tasks,
+# but there's probably a better way to do this!
+- job: SnowflakeIntegrationTest
+  pool:
+    vmImage: 'vs2017-win2016'
+  dependsOn: UnitTest
+  condition: succeeded()
+  steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.7'
+      architecture: 'x64'
+
+  - script: python -m pip install --upgrade pip && pip install tox
+    displayName: 'Install dependencies'
+
+  - script: python -m tox -e py-snowflake -- -v -n4
+    env:
+      SNOWFLAKE_TEST_ACCOUNT: $(SNOWFLAKE_TEST_ACCOUNT)
+      SNOWFLAKE_TEST_PASSWORD: $(SNOWFLAKE_TEST_PASSWORD)
+      SNOWFLAKE_TEST_USER: $(SNOWFLAKE_TEST_USER)
+      SNOWFLAKE_TEST_WAREHOUSE: $(SNOWFLAKE_TEST_WAREHOUSE)
+      SNOWFLAKE_TEST_OAUTH_REFRESH_TOKEN: $(SNOWFLAKE_TEST_OAUTH_REFRESH_TOKEN)
+      SNOWFLAKE_TEST_OAUTH_CLIENT_ID: $(SNOWFLAKE_TEST_OAUTH_CLIENT_ID)
+      SNOWFLAKE_TEST_OAUTH_CLIENT_SECRET: $(SNOWFLAKE_TEST_OAUTH_CLIENT_SECRET)
+    displayName: Run integration tests
+
+- job: BigQueryIntegrationTest
+  pool:
+    vmImage: 'vs2017-win2016'
+  dependsOn: UnitTest
+  condition: succeeded()
+  steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.7'
+      architecture: 'x64'
+  - script: python -m pip install --upgrade pip && pip install tox
+    displayName: 'Install dependencies'
+  - script: python -m tox -e py-bigquery -- -v -n4
+    env:
+      BIGQUERY_SERVICE_ACCOUNT_JSON: $(BIGQUERY_SERVICE_ACCOUNT_JSON)
+    displayName: Run integration tests
+
+- job: RedshiftIntegrationTest
+  pool:
+    vmImage: 'vs2017-win2016'
+  dependsOn: UnitTest
+  condition: succeeded()
+  steps:
+  - task: UsePythonVersion@0
+    inputs:
+      versionSpec: '3.7'
+      architecture: 'x64'
+
+  - script: python -m pip install --upgrade pip && pip install tox
+    displayName: 'Install dependencies'
+
+  - script: python -m tox -e py-redshift -- -v -n4
+    env:
+      REDSHIFT_TEST_DBNAME: $(REDSHIFT_TEST_DBNAME)
+      REDSHIFT_TEST_PASS: $(REDSHIFT_TEST_PASS)
+      REDSHIFT_TEST_USER: $(REDSHIFT_TEST_USER)
+      REDSHIFT_TEST_PORT: $(REDSHIFT_TEST_PORT)
+      REDSHIFT_TEST_HOST: $(REDSHIFT_TEST_HOST)
+    displayName: Run integration tests
+
+- job: BuildWheel
+  pool:
+    vmImage: 'vs2017-win2016'
+  dependsOn:
+    - UnitTest
+    - PostgresIntegrationTest
+    - RedshiftIntegrationTest
+    - SnowflakeIntegrationTest
+    - BigQueryIntegrationTest
+  condition: succeeded()
+  steps:
+    - task: UsePythonVersion@0
+      inputs:
+        versionSpec: '3.7'
+        architecture: 'x64'
+    - script: python -m pip install --upgrade pip setuptools && python -m pip install -r requirements.txt && python -m pip install -r dev-requirements.txt
+      displayName: Install dependencies
+    - task: ShellScript@2
+      inputs:
+        scriptPath: scripts/build-wheels.sh
+    - task: CopyFiles@2
+      inputs:
+        contents: 'dist\?(*.whl|*.tar.gz)'
+        TargetFolder: '$(Build.ArtifactStagingDirectory)'
+    - task: PublishBuildArtifacts@1
+      inputs:
+        pathtoPublish: '$(Build.ArtifactStagingDirectory)'
+        artifactName: dists

codecov.yml

@@ -1,13 +0,0 @@
-ignore:
-  - ".github"
-  - ".changes"
-coverage:
-  status:
-    project:
-      default:
-        target: auto
-        threshold: 0.1% # Reduce noise by ignoring rounding errors in coverage drops
-    patch:
-      default:
-        target: auto
-        threshold: 80%

core/MANIFEST.in

@@ -1,3 +1 @@
 recursive-include dbt/include *.py *.sql *.yml *.html *.md .gitkeep .gitignore
-include dbt/py.typed
-recursive-include dbt/task/docs *.html

core/README.md

@@ -1,39 +0,0 @@
-<p align="center">
-  <img src="https://raw.githubusercontent.com/dbt-labs/dbt-core/fa1ea14ddfb1d5ae319d5141844910dd53ab2834/etc/dbt-core.svg" alt="dbt logo" width="750"/>
-</p>
-<p align="center">
-  <a href="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml">
-    <img src="https://github.com/dbt-labs/dbt-core/actions/workflows/main.yml/badge.svg?event=push" alt="CI Badge"/>
-  </a>
-</p>
-
-**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
-
-![architecture](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-arch.png)
-
-## Understanding dbt
-
-Analysts using dbt can transform their data by simply writing select statements, while dbt handles turning these statements into tables and views in a data warehouse.
-
-These select statements, or "models", form a dbt project. Models frequently build on top of one another – dbt makes it easy to [manage relationships](https://docs.getdbt.com/docs/ref) between models, and [visualize these relationships](https://docs.getdbt.com/docs/documentation), as well as assure the quality of your transformations through [testing](https://docs.getdbt.com/docs/testing).
-
-![dbt dag](https://raw.githubusercontent.com/dbt-labs/dbt-core/6c6649f9129d5d108aa3b0526f634cd8f3a9d1ed/etc/dbt-dag.png)
-
-## Getting started
-
-- [Install dbt](https://docs.getdbt.com/docs/installation)
-- Read the [introduction](https://docs.getdbt.com/docs/introduction/) and [viewpoint](https://docs.getdbt.com/docs/about/viewpoint/)
-
-## Join the dbt Community
-
-- Be part of the conversation in the [dbt Community Slack](http://community.getdbt.com/)
-- Read more on the [dbt Community Discourse](https://discourse.getdbt.com)
-
-## Reporting bugs and contributing code
-
-- Want to report a bug or request a feature? Let us know on [Slack](http://community.getdbt.com/), or open [an issue](https://github.com/dbt-labs/dbt-core/issues/new)
-- Want to help us build dbt? Check out the [Contributing Guide](https://github.com/dbt-labs/dbt-core/blob/HEAD/CONTRIBUTING.md)
-
-## Code of Conduct
-
-Everyone interacting in the dbt project's codebases, issue trackers, chat rooms, and mailing lists is expected to follow the [dbt Code of Conduct](https://community.getdbt.com/code-of-conduct).

core/dbt/README.md

@@ -1,58 +0,0 @@
-# core/dbt directory README
-
-## The following are individual files in this directory.
-
-### compilation.py
-
-### constants.py
-
-### dataclass_schema.py
-
-### deprecations.py
-
-### exceptions.py
-
-### flags.py
-
-### helper_types.py
-
-### hooks.py
-
-### lib.py
-
-### links.py
-
-### main.py
-
-### node_types.py
-
-### profiler.py
-
-### selected_resources.py
-
-### semver.py
-
-### tracking.py
-
-### ui.py
-
-### utils.py
-
-### version.py
-
-
-## The subdirectories will be documented in a README in the subdirectory
-* adapters
-* cli
-* clients
-* config
-* context
-* contracts
-* deps
-* docs
-* events
-* graph
-* include
-* parser
-* task
-* tests

core/dbt/__init__.py

@@ -1,7 +0,0 @@
-# N.B.
-# This will add to the package’s __path__ all subdirectories of directories on sys.path named after the package which effectively combines both modules into a single namespace (dbt.adapters)
-# The matching statement is in plugins/postgres/dbt/__init__.py
-
-from pkgutil import extend_path
-
-__path__ = extend_path(__path__, __name__)

core/dbt/adapters/base/__init__.py

@@ -0,0 +1,14 @@
+# these are all just exports, #noqa them so flake8 will be happy
+
+# TODO: Should we still include this in the `adapters` namespace?
+from dbt.contracts.connection import Credentials  # noqa
+from dbt.adapters.base.meta import available  # noqa
+from dbt.adapters.base.connections import BaseConnectionManager  # noqa
+from dbt.adapters.base.relation import (  # noqa
+    BaseRelation,
+    RelationType,
+    SchemaSearchMap,
+)
+from dbt.adapters.base.column import Column  # noqa
+from dbt.adapters.base.impl import AdapterConfig, BaseAdapter  # noqa
+from dbt.adapters.base.plugin import AdapterPlugin  # noqa

core/dbt/adapters/base/column.py

@@ -0,0 +1,153 @@
+from dataclasses import dataclass
+import re
+from typing import Dict, ClassVar, Any, Optional
+
+from dbt.exceptions import RuntimeException
+
+
+@dataclass
+class Column:
+    TYPE_LABELS: ClassVar[Dict[str, str]] = {
+        'STRING': 'TEXT',
+        'TIMESTAMP': 'TIMESTAMP',
+        'FLOAT': 'FLOAT',
+        'INTEGER': 'INT'
+    }
+    column: str
+    dtype: str
+    char_size: Optional[int] = None
+    numeric_precision: Optional[Any] = None
+    numeric_scale: Optional[Any] = None
+
+    @classmethod
+    def translate_type(cls, dtype: str) -> str:
+        return cls.TYPE_LABELS.get(dtype.upper(), dtype)
+
+    @classmethod
+    def create(cls, name, label_or_dtype: str) -> 'Column':
+        column_type = cls.translate_type(label_or_dtype)
+        return cls(name, column_type)
+
+    @property
+    def name(self) -> str:
+        return self.column
+
+    @property
+    def quoted(self) -> str:
+        return '"{}"'.format(self.column)
+
+    @property
+    def data_type(self) -> str:
+        if self.is_string():
+            return Column.string_type(self.string_size())
+        elif self.is_numeric():
+            return Column.numeric_type(self.dtype, self.numeric_precision,
+                                       self.numeric_scale)
+        else:
+            return self.dtype
+
+    def is_string(self) -> bool:
+        return self.dtype.lower() in ['text', 'character varying', 'character',
+                                      'varchar']
+
+    def is_number(self):
+        return any([self.is_integer(), self.is_numeric(), self.is_float()])
+
+    def is_float(self):
+        return self.dtype.lower() in [
+            # floats
+            'real', 'float4', 'float', 'double precision', 'float8'
+        ]
+
+    def is_integer(self) -> bool:
+        return self.dtype.lower() in [
+            # real types
+            'smallint', 'integer', 'bigint',
+            'smallserial', 'serial', 'bigserial',
+            # aliases
+            'int2', 'int4', 'int8',
+            'serial2', 'serial4', 'serial8',
+        ]
+
+    def is_numeric(self) -> bool:
+        return self.dtype.lower() in ['numeric', 'decimal']
+
+    def string_size(self) -> int:
+        if not self.is_string():
+            raise RuntimeException("Called string_size() on non-string field!")
+
+        if self.dtype == 'text' or self.char_size is None:
+            # char_size should never be None. Handle it reasonably just in case
+            return 256
+        else:
+            return int(self.char_size)
+
+    def can_expand_to(self, other_column: 'Column') -> bool:
+        """returns True if this column can be expanded to the size of the
+        other column"""
+        if not self.is_string() or not other_column.is_string():
+            return False
+
+        return other_column.string_size() > self.string_size()
+
+    def literal(self, value: Any) -> str:
+        return "{}::{}".format(value, self.data_type)
+
+    @classmethod
+    def string_type(cls, size: int) -> str:
+        return "character varying({})".format(size)
+
+    @classmethod
+    def numeric_type(cls, dtype: str, precision: Any, scale: Any) -> str:
+        # This could be decimal(...), numeric(...), number(...)
+        # Just use whatever was fed in here -- don't try to get too clever
+        if precision is None or scale is None:
+            return dtype
+        else:
+            return "{}({},{})".format(dtype, precision, scale)
+
+    def __repr__(self) -> str:
+        return "<Column {} ({})>".format(self.name, self.data_type)
+
+    @classmethod
+    def from_description(cls, name: str, raw_data_type: str) -> 'Column':
+        match = re.match(r'([^(]+)(\([^)]+\))?', raw_data_type)
+        if match is None:
+            raise RuntimeException(
+                f'Could not interpret data type "{raw_data_type}"'
+            )
+        data_type, size_info = match.groups()
+        char_size = None
+        numeric_precision = None
+        numeric_scale = None
+        if size_info is not None:
+            # strip out the parentheses
+            size_info = size_info[1:-1]
+            parts = size_info.split(',')
+            if len(parts) == 1:
+                try:
+                    char_size = int(parts[0])
+                except ValueError:
+                    raise RuntimeException(
+                        f'Could not interpret data_type "{raw_data_type}": '
+                        f'could not convert "{parts[0]}" to an integer'
+                    )
+            elif len(parts) == 2:
+                try:
+                    numeric_precision = int(parts[0])
+                except ValueError:
+                    raise RuntimeException(
+                        f'Could not interpret data_type "{raw_data_type}": '
+                        f'could not convert "{parts[0]}" to an integer'
+                    )
+                try:
+                    numeric_scale = int(parts[1])
+                except ValueError:
+                    raise RuntimeException(
+                        f'Could not interpret data_type "{raw_data_type}": '
+                        f'could not convert "{parts[1]}" to an integer'
+                    )
+
+        return cls(
+            name, data_type, char_size, numeric_precision, numeric_scale
+        )

core/dbt/adapters/base/connections.py

@@ -0,0 +1,306 @@
+import abc
+import os
+# multiprocessing.RLock is a function returning this type
+from multiprocessing.synchronize import RLock
+from threading import get_ident
+from typing import (
+    Dict, Tuple, Hashable, Optional, ContextManager, List, Union
+)
+
+import agate
+
+import dbt.exceptions
+from dbt.contracts.connection import (
+    Connection, Identifier, ConnectionState,
+    AdapterRequiredConfig, LazyHandle, AdapterResponse
+)
+from dbt.contracts.graph.manifest import Manifest
+from dbt.adapters.base.query_headers import (
+    MacroQueryStringSetter,
+)
+from dbt.logger import GLOBAL_LOGGER as logger
+from dbt import flags
+
+
+class BaseConnectionManager(metaclass=abc.ABCMeta):
+    """Methods to implement:
+        - exception_handler
+        - cancel_open
+        - open
+        - begin
+        - commit
+        - clear_transaction
+        - execute
+
+    You must also set the 'TYPE' class attribute with a class-unique constant
+    string.
+    """
+    TYPE: str = NotImplemented
+
+    def __init__(self, profile: AdapterRequiredConfig):
+        self.profile = profile
+        self.thread_connections: Dict[Hashable, Connection] = {}
+        self.lock: RLock = flags.MP_CONTEXT.RLock()
+        self.query_header: Optional[MacroQueryStringSetter] = None
+
+    def set_query_header(self, manifest: Manifest) -> None:
+        self.query_header = MacroQueryStringSetter(self.profile, manifest)
+
+    @staticmethod
+    def get_thread_identifier() -> Hashable:
+        # note that get_ident() may be re-used, but we should never experience
+        # that within a single process
+        return (os.getpid(), get_ident())
+
+    def get_thread_connection(self) -> Connection:
+        key = self.get_thread_identifier()
+        with self.lock:
+            if key not in self.thread_connections:
+                raise dbt.exceptions.InvalidConnectionException(
+                    key, list(self.thread_connections)
+                )
+            return self.thread_connections[key]
+
+    def set_thread_connection(self, conn: Connection) -> None:
+        key = self.get_thread_identifier()
+        if key in self.thread_connections:
+            raise dbt.exceptions.InternalException(
+                'In set_thread_connection, existing connection exists for {}'
+            )
+        self.thread_connections[key] = conn
+
+    def get_if_exists(self) -> Optional[Connection]:
+        key = self.get_thread_identifier()
+        with self.lock:
+            return self.thread_connections.get(key)
+
+    def clear_thread_connection(self) -> None:
+        key = self.get_thread_identifier()
+        with self.lock:
+            if key in self.thread_connections:
+                del self.thread_connections[key]
+
+    def clear_transaction(self) -> None:
+        """Clear any existing transactions."""
+        conn = self.get_thread_connection()
+        if conn is not None:
+            if conn.transaction_open:
+                self._rollback(conn)
+            self.begin()
+            self.commit()
+
+    def rollback_if_open(self) -> None:
+        conn = self.get_if_exists()
+        if conn is not None and conn.handle and conn.transaction_open:
+            self._rollback(conn)
+
+    @abc.abstractmethod
+    def exception_handler(self, sql: str) -> ContextManager:
+        """Create a context manager that handles exceptions caused by database
+        interactions.
+
+        :param str sql: The SQL string that the block inside the context
+            manager is executing.
+        :return: A context manager that handles exceptions raised by the
+            underlying database.
+        """
+        raise dbt.exceptions.NotImplementedException(
+            '`exception_handler` is not implemented for this adapter!')
+
+    def set_connection_name(self, name: Optional[str] = None) -> Connection:
+        conn_name: str
+        if name is None:
+            # if a name isn't specified, we'll re-use a single handle
+            # named 'master'
+            conn_name = 'master'
+        else:
+            if not isinstance(name, str):
+                raise dbt.exceptions.CompilerException(
+                    f'For connection name, got {name} - not a string!'
+                )
+            assert isinstance(name, str)
+            conn_name = name
+
+        conn = self.get_if_exists()
+        if conn is None:
+            conn = Connection(
+                type=Identifier(self.TYPE),
+                name=None,
+                state=ConnectionState.INIT,
+                transaction_open=False,
+                handle=None,
+                credentials=self.profile.credentials
+            )
+            self.set_thread_connection(conn)
+
+        if conn.name == conn_name and conn.state == 'open':
+            return conn
+
+        logger.debug(
+            'Acquiring new {} connection "{}".'.format(self.TYPE, conn_name))
+
+        if conn.state == 'open':
+            logger.debug(
+                'Re-using an available connection from the pool (formerly {}).'
+                .format(conn.name)
+            )
+        else:
+            conn.handle = LazyHandle(self.open)
+
+        conn.name = conn_name
+        return conn
+
+    @abc.abstractmethod
+    def cancel_open(self) -> Optional[List[str]]:
+        """Cancel all open connections on the adapter. (passable)"""
+        raise dbt.exceptions.NotImplementedException(
+            '`cancel_open` is not implemented for this adapter!'
+        )
+
+    @abc.abstractclassmethod
+    def open(cls, connection: Connection) -> Connection:
+        """Open the given connection on the adapter and return it.
+
+        This may mutate the given connection (in particular, its state and its
+        handle).
+
+        This should be thread-safe, or hold the lock if necessary. The given
+        connection should not be in either in_use or available.
+        """
+        raise dbt.exceptions.NotImplementedException(
+            '`open` is not implemented for this adapter!'
+        )
+
+    def release(self) -> None:
+        with self.lock:
+            conn = self.get_if_exists()
+            if conn is None:
+                return
+
+        try:
+            # always close the connection. close() calls _rollback() if there
+            # is an open transaction
+            self.close(conn)
+        except Exception:
+            # if rollback or close failed, remove our busted connection
+            self.clear_thread_connection()
+            raise
+
+    def cleanup_all(self) -> None:
+        with self.lock:
+            for connection in self.thread_connections.values():
+                if connection.state not in {'closed', 'init'}:
+                    logger.debug("Connection '{}' was left open."
+                                 .format(connection.name))
+                else:
+                    logger.debug("Connection '{}' was properly closed."
+                                 .format(connection.name))
+                self.close(connection)
+
+            # garbage collect these connections
+            self.thread_connections.clear()
+
+    @abc.abstractmethod
+    def begin(self) -> None:
+        """Begin a transaction. (passable)"""
+        raise dbt.exceptions.NotImplementedException(
+            '`begin` is not implemented for this adapter!'
+        )
+
+    @abc.abstractmethod
+    def commit(self) -> None:
+        """Commit a transaction. (passable)"""
+        raise dbt.exceptions.NotImplementedException(
+            '`commit` is not implemented for this adapter!'
+        )
+
+    @classmethod
+    def _rollback_handle(cls, connection: Connection) -> None:
+        """Perform the actual rollback operation."""
+        try:
+            connection.handle.rollback()
+        except Exception:
+            logger.debug(
+                'Failed to rollback {}'.format(connection.name),
+                exc_info=True
+            )
+
+    @classmethod
+    def _close_handle(cls, connection: Connection) -> None:
+        """Perform the actual close operation."""
+        # On windows, sometimes connection handles don't have a close() attr.
+        if hasattr(connection.handle, 'close'):
+            logger.debug(f'On {connection.name}: Close')
+            connection.handle.close()
+        else:
+            logger.debug(f'On {connection.name}: No close available on handle')
+
+    @classmethod
+    def _rollback(cls, connection: Connection) -> None:
+        """Roll back the given connection."""
+        if flags.STRICT_MODE:
+            if not isinstance(connection, Connection):
+                raise dbt.exceptions.CompilerException(
+                    f'In _rollback, got {connection} - not a Connection!'
+                )
+
+        if connection.transaction_open is False:
+            raise dbt.exceptions.InternalException(
+                f'Tried to rollback transaction on connection '
+                f'"{connection.name}", but it does not have one open!'
+            )
+
+        logger.debug(f'On {connection.name}: ROLLBACK')
+        cls._rollback_handle(connection)
+
+        connection.transaction_open = False
+
+    @classmethod
+    def close(cls, connection: Connection) -> Connection:
+        if flags.STRICT_MODE:
+            if not isinstance(connection, Connection):
+                raise dbt.exceptions.CompilerException(
+                    f'In close, got {connection} - not a Connection!'
+                )
+
+        # if the connection is in closed or init, there's nothing to do
+        if connection.state in {ConnectionState.CLOSED, ConnectionState.INIT}:
+            return connection
+
+        if connection.transaction_open and connection.handle:
+            logger.debug('On {}: ROLLBACK'.format(connection.name))
+            cls._rollback_handle(connection)
+        connection.transaction_open = False
+
+        cls._close_handle(connection)
+        connection.state = ConnectionState.CLOSED
+
+        return connection
+
+    def commit_if_has_connection(self) -> None:
+        """If the named connection exists, commit the current transaction."""
+        connection = self.get_if_exists()
+        if connection:
+            self.commit()
+
+    def _add_query_comment(self, sql: str) -> str:
+        if self.query_header is None:
+            return sql
+        return self.query_header.add(sql)
+
+    @abc.abstractmethod
+    def execute(
+        self, sql: str, auto_begin: bool = False, fetch: bool = False
+    ) -> Tuple[Union[str, AdapterResponse], agate.Table]:
+        """Execute the given SQL.
+
+        :param str sql: The sql to execute.
+        :param bool auto_begin: If set, and dbt is not currently inside a
+            transaction, automatically begin one.
+        :param bool fetch: If set, fetch results.
+        :return: A tuple of the status and the results (empty if fetch=False).
+        :rtype: Tuple[Union[str, AdapterResponse], agate.Table]
+        """
+        raise dbt.exceptions.NotImplementedException(
+            '`execute` is not implemented for this adapter!'
+        )

core/dbt/adapters/base/meta.py

@@ -0,0 +1,126 @@
+import abc
+from functools import wraps
+from typing import Callable, Optional, Any, FrozenSet, Dict, Set
+
+from dbt.deprecations import warn, renamed_method
+
+
+Decorator = Callable[[Any], Callable]
+
+
+class _Available:
+    def __call__(self, func: Callable) -> Callable:
+        func._is_available_ = True  # type: ignore
+        return func
+
+    def parse(self, parse_replacement: Callable) -> Decorator:
+        """A decorator factory to indicate that a method on the adapter will be
+        exposed to the database wrapper, and will be stubbed out at parse time
+        with the given function.
+
+        @available.parse()
+        def my_method(self, a, b):
+            if something:
+                return None
+            return big_expensive_db_query()
+
+        @available.parse(lambda *args, **args: {})
+        def my_other_method(self, a, b):
+            x = {}
+            x.update(big_expensive_db_query())
+            return x
+        """
+        def inner(func):
+            func._parse_replacement_ = parse_replacement
+            return self(func)
+        return inner
+
+    def deprecated(
+        self, supported_name: str, parse_replacement: Optional[Callable] = None
+    ) -> Decorator:
+        """A decorator that marks a function as available, but also prints a
+        deprecation warning. Use like
+
+        @available.deprecated('my_new_method')
+        def my_old_method(self, arg):
+            args = compatability_shim(arg)
+            return self.my_new_method(*args)
+
+        @available.deprecated('my_new_slow_method', lambda *a, **k: (0, ''))
+        def my_old_slow_method(self, arg):
+            args = compatibility_shim(arg)
+            return self.my_new_slow_method(*args)
+
+        To make `adapter.my_old_method` available but also print out a warning
+        on use directing users to `my_new_method`.
+
+        The optional parse_replacement, if provided, will provide a parse-time
+        replacement for the actual method (see `available.parse`).
+        """
+        def wrapper(func):
+            func_name = func.__name__
+            renamed_method(func_name, supported_name)
+
+            @wraps(func)
+            def inner(*args, **kwargs):
+                warn('adapter:{}'.format(func_name))
+                return func(*args, **kwargs)
+
+            if parse_replacement:
+                available_function = self.parse(parse_replacement)
+            else:
+                available_function = self
+            return available_function(inner)
+        return wrapper
+
+    def parse_none(self, func: Callable) -> Callable:
+        wrapper = self.parse(lambda *a, **k: None)
+        return wrapper(func)
+
+    def parse_list(self, func: Callable) -> Callable:
+        wrapper = self.parse(lambda *a, **k: [])
+        return wrapper(func)
+
+
+available = _Available()
+
+
+class AdapterMeta(abc.ABCMeta):
+    _available_: FrozenSet[str]
+    _parse_replacements_: Dict[str, Callable]
+
+    def __new__(mcls, name, bases, namespace, **kwargs):
+        # mypy does not like the `**kwargs`. But `ABCMeta` itself takes
+        # `**kwargs` in its argspec here (and passes them to `type.__new__`.
+        # I'm not sure there is any benefit to it after poking around a bit,
+        # but having it doesn't hurt on the python side (and omitting it could
+        # hurt for obscure metaclass reasons, for all I know)
+        cls = abc.ABCMeta.__new__(  # type: ignore
+            mcls, name, bases, namespace, **kwargs
+        )
+
+        # this is very much inspired by ABCMeta's own implementation
+
+        # dict mapping the method name to whether the model name should be
+        # injected into the arguments. All methods in here are exposed to the
+        # context.
+        available: Set[str] = set()
+        replacements: Dict[str, Any] = {}
+
+        # collect base class data first
+        for base in bases:
+            available.update(getattr(base, '_available_', set()))
+            replacements.update(getattr(base, '_parse_replacements_', set()))
+
+        # override with local data if it exists
+        for name, value in namespace.items():
+            if getattr(value, '_is_available_', False):
+                available.add(name)
+            parse_replacement = getattr(value, '_parse_replacement_', None)
+            if parse_replacement is not None:
+                replacements[name] = parse_replacement
+
+        cls._available_ = frozenset(available)
+        # should this be a namedtuple so it will be immutable like _available_?
+        cls._parse_replacements_ = replacements
+        return cls

core/dbt/adapters/base/plugin.py

@@ -0,0 +1,42 @@
+from typing import List, Optional, Type
+
+from dbt.adapters.base import Credentials
+from dbt.exceptions import CompilationException
+from dbt.adapters.protocol import AdapterProtocol
+
+
+def project_name_from_path(include_path: str) -> str:
+    # avoid an import cycle
+    from dbt.config.project import Project
+    partial = Project.partial_load(include_path)
+    if partial.project_name is None:
+        raise CompilationException(
+            f'Invalid project at {include_path}: name not set!'
+        )
+    return partial.project_name
+
+
+class AdapterPlugin:
+    """Defines the basic requirements for a dbt adapter plugin.
+
+    :param include_path: The path to this adapter plugin's root
+    :param dependencies: A list of adapter names that this adapter depends
+        upon.
+    """
+    def __init__(
+        self,
+        adapter: Type[AdapterProtocol],
+        credentials: Type[Credentials],
+        include_path: str,
+        dependencies: Optional[List[str]] = None
+    ):
+
+        self.adapter: Type[AdapterProtocol] = adapter
+        self.credentials: Type[Credentials] = credentials
+        self.include_path: str = include_path
+        self.project_name: str = project_name_from_path(include_path)
+        self.dependencies: List[str]
+        if dependencies is None:
+            self.dependencies = []
+        else:
+            self.dependencies = dependencies

core/dbt/adapters/base/query_headers.py

@@ -0,0 +1,101 @@
+from threading import local
+from typing import Optional, Callable, Dict, Any
+
+from dbt.clients.jinja import QueryStringGenerator
+
+from dbt.context.manifest import generate_query_header_context
+from dbt.contracts.connection import AdapterRequiredConfig, QueryComment
+from dbt.contracts.graph.compiled import CompileResultNode
+from dbt.contracts.graph.manifest import Manifest
+from dbt.exceptions import RuntimeException
+
+
+class NodeWrapper:
+    def __init__(self, node):
+        self._inner_node = node
+
+    def __getattr__(self, name):
+        return getattr(self._inner_node, name, '')
+
+
+class _QueryComment(local):
+    """A thread-local class storing thread-specific state information for
+    connection management, namely:
+        - the current thread's query comment.
+        - a source_name indicating what set the current thread's query comment
+    """
+    def __init__(self, initial):
+        self.query_comment: Optional[str] = initial
+        self.append = False
+
+    def add(self, sql: str) -> str:
+        if not self.query_comment:
+            return sql
+
+        if self.append:
+            # replace last ';' with '<comment>;'
+            sql = sql.rstrip()
+            if sql[-1] == ';':
+                sql = sql[:-1]
+                return '{}\n/* {} */;'.format(sql, self.query_comment.strip())
+
+            return '{}\n/* {} */'.format(sql, self.query_comment.strip())
+
+        return '/* {} */\n{}'.format(self.query_comment.strip(), sql)
+
+    def set(self, comment: Optional[str], append: bool):
+        if isinstance(comment, str) and '*/' in comment:
+            # tell the user "no" so they don't hurt themselves by writing
+            # garbage
+            raise RuntimeException(
+                f'query comment contains illegal value "*/": {comment}'
+            )
+        self.query_comment = comment
+        self.append = append
+
+
+QueryStringFunc = Callable[[str, Optional[NodeWrapper]], str]
+
+
+class MacroQueryStringSetter:
+    def __init__(self, config: AdapterRequiredConfig, manifest: Manifest):
+        self.manifest = manifest
+        self.config = config
+
+        comment_macro = self._get_comment_macro()
+        self.generator: QueryStringFunc = lambda name, model: ''
+        # if the comment value was None or the empty string, just skip it
+        if comment_macro:
+            assert isinstance(comment_macro, str)
+            macro = '\n'.join((
+                '{%- macro query_comment_macro(connection_name, node) -%}',
+                comment_macro,
+                '{% endmacro %}'
+            ))
+            ctx = self._get_context()
+            self.generator = QueryStringGenerator(macro, ctx)
+        self.comment = _QueryComment(None)
+        self.reset()
+
+    def _get_comment_macro(self) -> Optional[str]:
+        return self.config.query_comment.comment
+
+    def _get_context(self) -> Dict[str, Any]:
+        return generate_query_header_context(self.config, self.manifest)
+
+    def add(self, sql: str) -> str:
+        return self.comment.add(sql)
+
+    def reset(self):
+        self.set('master', None)
+
+    def set(self, name: str, node: Optional[CompileResultNode]):
+        wrapped: Optional[NodeWrapper] = None
+        if node is not None:
+            wrapped = NodeWrapper(node)
+        comment_str = self.generator(name, wrapped)
+
+        append = False
+        if isinstance(self.config.query_comment, QueryComment):
+            append = self.config.query_comment.append
+        self.comment.set(comment_str, append)

core/dbt/adapters/base/relation.py

@@ -0,0 +1,456 @@
+from collections.abc import Hashable
+from dataclasses import dataclass
+from typing import (
+    Optional, TypeVar, Any, Type, Dict, Union, Iterator, Tuple, Set
+)
+
+from dbt.contracts.graph.compiled import CompiledNode
+from dbt.contracts.graph.parsed import ParsedSourceDefinition, ParsedNode
+from dbt.contracts.relation import (
+    RelationType, ComponentName, HasQuoting, FakeAPIObject, Policy, Path
+)
+from dbt.exceptions import InternalException
+from dbt.node_types import NodeType
+from dbt.utils import filter_null_values, deep_merge, classproperty
+
+import dbt.exceptions
+
+
+Self = TypeVar('Self', bound='BaseRelation')
+
+
+@dataclass(frozen=True, eq=False, repr=False)
+class BaseRelation(FakeAPIObject, Hashable):
+    path: Path
+    type: Optional[RelationType] = None
+    quote_character: str = '"'
+    include_policy: Policy = Policy()
+    quote_policy: Policy = Policy()
+    dbt_created: bool = False
+
+    def _is_exactish_match(self, field: ComponentName, value: str) -> bool:
+        if self.dbt_created and self.quote_policy.get_part(field) is False:
+            return self.path.get_lowered_part(field) == value.lower()
+        else:
+            return self.path.get_part(field) == value
+
+    @classmethod
+    def _get_field_named(cls, field_name):
+        for field, _ in cls._get_fields():
+            if field.name == field_name:
+                return field
+        # this should be unreachable
+        raise ValueError(f'BaseRelation has no {field_name} field!')
+
+    def __eq__(self, other):
+        if not isinstance(other, self.__class__):
+            return False
+        return self.to_dict(omit_none=True) == other.to_dict(omit_none=True)
+
+    @classmethod
+    def get_default_quote_policy(cls) -> Policy:
+        return cls._get_field_named('quote_policy').default
+
+    @classmethod
+    def get_default_include_policy(cls) -> Policy:
+        return cls._get_field_named('include_policy').default
+
+    def get(self, key, default=None):
+        """Override `.get` to return a metadata object so we don't break
+        dbt_utils.
+        """
+        if key == 'metadata':
+            return {
+                'type': self.__class__.__name__
+            }
+        return super().get(key, default)
+
+    def matches(
+        self,
+        database: Optional[str] = None,
+        schema: Optional[str] = None,
+        identifier: Optional[str] = None,
+    ) -> bool:
+        search = filter_null_values({
+            ComponentName.Database: database,
+            ComponentName.Schema: schema,
+            ComponentName.Identifier: identifier
+        })
+
+        if not search:
+            # nothing was passed in
+            raise dbt.exceptions.RuntimeException(
+                "Tried to match relation, but no search path was passed!")
+
+        exact_match = True
+        approximate_match = True
+
+        for k, v in search.items():
+            if not self._is_exactish_match(k, v):
+                exact_match = False
+
+            if self.path.get_lowered_part(k) != v.lower():
+                approximate_match = False
+
+        if approximate_match and not exact_match:
+            target = self.create(
+                database=database, schema=schema, identifier=identifier
+            )
+            dbt.exceptions.approximate_relation_match(target, self)
+
+        return exact_match
+
+    def replace_path(self, **kwargs):
+        return self.replace(path=self.path.replace(**kwargs))
+
+    def quote(
+        self: Self,
+        database: Optional[bool] = None,
+        schema: Optional[bool] = None,
+        identifier: Optional[bool] = None,
+    ) -> Self:
+        policy = filter_null_values({
+            ComponentName.Database: database,
+            ComponentName.Schema: schema,
+            ComponentName.Identifier: identifier
+        })
+
+        new_quote_policy = self.quote_policy.replace_dict(policy)
+        return self.replace(quote_policy=new_quote_policy)
+
+    def include(
+        self: Self,
+        database: Optional[bool] = None,
+        schema: Optional[bool] = None,
+        identifier: Optional[bool] = None,
+    ) -> Self:
+        policy = filter_null_values({
+            ComponentName.Database: database,
+            ComponentName.Schema: schema,
+            ComponentName.Identifier: identifier
+        })
+
+        new_include_policy = self.include_policy.replace_dict(policy)
+        return self.replace(include_policy=new_include_policy)
+
+    def information_schema(self, view_name=None) -> 'InformationSchema':
+        # some of our data comes from jinja, where things can be `Undefined`.
+        if not isinstance(view_name, str):
+            view_name = None
+
+        # Kick the user-supplied schema out of the information schema relation
+        # Instead address this as <database>.information_schema by default
+        info_schema = InformationSchema.from_relation(self, view_name)
+        return info_schema.incorporate(path={"schema": None})
+
+    def information_schema_only(self) -> 'InformationSchema':
+        return self.information_schema()
+
+    def without_identifier(self) -> 'BaseRelation':
+        """Return a form of this relation that only has the database and schema
+        set to included. To get the appropriately-quoted form the schema out of
+        the result (for use as part of a query), use `.render()`. To get the
+        raw database or schema name, use `.database` or `.schema`.
+
+        The hash of the returned object is the result of render().
+        """
+        return self.include(identifier=False).replace_path(identifier=None)
+
+    def _render_iterator(
+        self
+    ) -> Iterator[Tuple[Optional[ComponentName], Optional[str]]]:
+
+        for key in ComponentName:
+            path_part: Optional[str] = None
+            if self.include_policy.get_part(key):
+                path_part = self.path.get_part(key)
+                if path_part is not None and self.quote_policy.get_part(key):
+                    path_part = self.quoted(path_part)
+            yield key, path_part
+
+    def render(self) -> str:
+        # if there is nothing set, this will return the empty string.
+        return '.'.join(
+            part for _, part in self._render_iterator()
+            if part is not None
+        )
+
+    def quoted(self, identifier):
+        return '{quote_char}{identifier}{quote_char}'.format(
+            quote_char=self.quote_character,
+            identifier=identifier,
+        )
+
+    @classmethod
+    def create_from_source(
+        cls: Type[Self], source: ParsedSourceDefinition, **kwargs: Any
+    ) -> Self:
+        source_quoting = source.quoting.to_dict(omit_none=True)
+        source_quoting.pop('column', None)
+        quote_policy = deep_merge(
+            cls.get_default_quote_policy().to_dict(omit_none=True),
+            source_quoting,
+            kwargs.get('quote_policy', {}),
+        )
+
+        return cls.create(
+            database=source.database,
+            schema=source.schema,
+            identifier=source.identifier,
+            quote_policy=quote_policy,
+            **kwargs
+        )
+
+    @staticmethod
+    def add_ephemeral_prefix(name: str):
+        return f'__dbt__cte__{name}'
+
+    @classmethod
+    def create_ephemeral_from_node(
+        cls: Type[Self],
+        config: HasQuoting,
+        node: Union[ParsedNode, CompiledNode],
+    ) -> Self:
+        # Note that ephemeral models are based on the name.
+        identifier = cls.add_ephemeral_prefix(node.name)
+        return cls.create(
+            type=cls.CTE,
+            identifier=identifier,
+        ).quote(identifier=False)
+
+    @classmethod
+    def create_from_node(
+        cls: Type[Self],
+        config: HasQuoting,
+        node: Union[ParsedNode, CompiledNode],
+        quote_policy: Optional[Dict[str, bool]] = None,
+        **kwargs: Any,
+    ) -> Self:
+        if quote_policy is None:
+            quote_policy = {}
+
+        quote_policy = dbt.utils.merge(config.quoting, quote_policy)
+
+        return cls.create(
+            database=node.database,
+            schema=node.schema,
+            identifier=node.alias,
+            quote_policy=quote_policy,
+            **kwargs)
+
+    @classmethod
+    def create_from(
+        cls: Type[Self],
+        config: HasQuoting,
+        node: Union[CompiledNode, ParsedNode, ParsedSourceDefinition],
+        **kwargs: Any,
+    ) -> Self:
+        if node.resource_type == NodeType.Source:
+            if not isinstance(node, ParsedSourceDefinition):
+                raise InternalException(
+                    'type mismatch, expected ParsedSourceDefinition but got {}'
+                    .format(type(node))
+                )
+            return cls.create_from_source(node, **kwargs)
+        else:
+            if not isinstance(node, (ParsedNode, CompiledNode)):
+                raise InternalException(
+                    'type mismatch, expected ParsedNode or CompiledNode but '
+                    'got {}'.format(type(node))
+                )
+            return cls.create_from_node(config, node, **kwargs)
+
+    @classmethod
+    def create(
+        cls: Type[Self],
+        database: Optional[str] = None,
+        schema: Optional[str] = None,
+        identifier: Optional[str] = None,
+        type: Optional[RelationType] = None,
+        **kwargs,
+    ) -> Self:
+        kwargs.update({
+            'path': {
+                'database': database,
+                'schema': schema,
+                'identifier': identifier,
+            },
+            'type': type,
+        })
+        return cls.from_dict(kwargs)
+
+    def __repr__(self) -> str:
+        return "<{} {}>".format(self.__class__.__name__, self.render())
+
+    def __hash__(self) -> int:
+        return hash(self.render())
+
+    def __str__(self) -> str:
+        return self.render()
+
+    @property
+    def database(self) -> Optional[str]:
+        return self.path.database
+
+    @property
+    def schema(self) -> Optional[str]:
+        return self.path.schema
+
+    @property
+    def identifier(self) -> Optional[str]:
+        return self.path.identifier
+
+    @property
+    def table(self) -> Optional[str]:
+        return self.path.identifier
+
+    # Here for compatibility with old Relation interface
+    @property
+    def name(self) -> Optional[str]:
+        return self.identifier
+
+    @property
+    def is_table(self) -> bool:
+        return self.type == RelationType.Table
+
+    @property
+    def is_cte(self) -> bool:
+        return self.type == RelationType.CTE
+
+    @property
+    def is_view(self) -> bool:
+        return self.type == RelationType.View
+
+    @classproperty
+    def Table(cls) -> str:
+        return str(RelationType.Table)
+
+    @classproperty
+    def CTE(cls) -> str:
+        return str(RelationType.CTE)
+
+    @classproperty
+    def View(cls) -> str:
+        return str(RelationType.View)
+
+    @classproperty
+    def External(cls) -> str:
+        return str(RelationType.External)
+
+    @classproperty
+    def get_relation_type(cls) -> Type[RelationType]:
+        return RelationType
+
+
+Info = TypeVar('Info', bound='InformationSchema')
+
+
+@dataclass(frozen=True, eq=False, repr=False)
+class InformationSchema(BaseRelation):
+    information_schema_view: Optional[str] = None
+
+    def __post_init__(self):
+        if not isinstance(self.information_schema_view, (type(None), str)):
+            raise dbt.exceptions.CompilationException(
+                'Got an invalid name: {}'.format(self.information_schema_view)
+            )
+
+    @classmethod
+    def get_path(
+        cls, relation: BaseRelation, information_schema_view: Optional[str]
+    ) -> Path:
+        return Path(
+            database=relation.database,
+            schema=relation.schema,
+            identifier='INFORMATION_SCHEMA',
+        )
+
+    @classmethod
+    def get_include_policy(
+        cls,
+        relation,
+        information_schema_view: Optional[str],
+    ) -> Policy:
+        return relation.include_policy.replace(
+            database=relation.database is not None,
+            schema=False,
+            identifier=True,
+        )
+
+    @classmethod
+    def get_quote_policy(
+        cls,
+        relation,
+        information_schema_view: Optional[str],
+    ) -> Policy:
+        return relation.quote_policy.replace(
+            identifier=False,
+        )
+
+    @classmethod
+    def from_relation(
+        cls: Type[Info],
+        relation: BaseRelation,
+        information_schema_view: Optional[str],
+    ) -> Info:
+        include_policy = cls.get_include_policy(
+            relation, information_schema_view
+        )
+        quote_policy = cls.get_quote_policy(relation, information_schema_view)
+        path = cls.get_path(relation, information_schema_view)
+        return cls(
+            type=RelationType.View,
+            path=path,
+            include_policy=include_policy,
+            quote_policy=quote_policy,
+            information_schema_view=information_schema_view,
+        )
+
+    def _render_iterator(self):
+        for k, v in super()._render_iterator():
+            yield k, v
+        yield None, self.information_schema_view
+
+
+class SchemaSearchMap(Dict[InformationSchema, Set[Optional[str]]]):
+    """A utility class to keep track of what information_schema tables to
+    search for what schemas. The schema values are all lowercased to avoid
+    duplication.
+    """
+    def add(self, relation: BaseRelation):
+        key = relation.information_schema_only()
+        if key not in self:
+            self[key] = set()
+        schema: Optional[str] = None
+        if relation.schema is not None:
+            schema = relation.schema.lower()
+        self[key].add(schema)
+
+    def search(
+        self
+    ) -> Iterator[Tuple[InformationSchema, Optional[str]]]:
+        for information_schema_name, schemas in self.items():
+            for schema in schemas:
+                yield information_schema_name, schema
+
+    def flatten(self, allow_multiple_databases: bool = False):
+        new = self.__class__()
+
+        # make sure we don't have multiple databases if allow_multiple_databases is set to False
+        if not allow_multiple_databases:
+            seen = {r.database.lower() for r in self if r.database}
+            if len(seen) > 1:
+                dbt.exceptions.raise_compiler_error(str(seen))
+
+        for information_schema_name, schema in self.search():
+            path = {
+                'database': information_schema_name.database,
+                'schema': schema
+            }
+            new.add(information_schema_name.incorporate(
+                path=path,
+                quote_policy={'database': False},
+                include_policy={'database': False},
+            ))
+
+        return new

core/dbt/adapters/cache.py

@@ -0,0 +1,523 @@
+from collections import namedtuple
+from copy import deepcopy
+from typing import List, Iterable, Optional, Dict, Set, Tuple, Any
+import threading
+
+from dbt.logger import CACHE_LOGGER as logger
+from dbt.utils import lowercase
+import dbt.exceptions
+
+_ReferenceKey = namedtuple('_ReferenceKey', 'database schema identifier')
+
+
+def _make_key(relation) -> _ReferenceKey:
+    """Make _ReferenceKeys with lowercase values for the cache so we don't have
+    to keep track of quoting
+    """
+    # databases and schemas can both be None
+    return _ReferenceKey(lowercase(relation.database),
+                         lowercase(relation.schema),
+                         lowercase(relation.identifier))
+
+
+def dot_separated(key: _ReferenceKey) -> str:
+    """Return the key in dot-separated string form.
+
+    :param _ReferenceKey key: The key to stringify.
+    """
+    return '.'.join(map(str, key))
+
+
+class _CachedRelation:
+    """Nothing about _CachedRelation is guaranteed to be thread-safe!
+
+    :attr str schema: The schema of this relation.
+    :attr str identifier: The identifier of this relation.
+    :attr Dict[_ReferenceKey, _CachedRelation] referenced_by: The relations
+        that refer to this relation.
+    :attr BaseRelation inner: The underlying dbt relation.
+    """
+    def __init__(self, inner):
+        self.referenced_by = {}
+        self.inner = inner
+
+    def __str__(self) -> str:
+        return (
+            '_CachedRelation(database={}, schema={}, identifier={}, inner={})'
+        ).format(self.database, self.schema, self.identifier, self.inner)
+
+    @property
+    def database(self) -> Optional[str]:
+        return lowercase(self.inner.database)
+
+    @property
+    def schema(self) -> Optional[str]:
+        return lowercase(self.inner.schema)
+
+    @property
+    def identifier(self) -> Optional[str]:
+        return lowercase(self.inner.identifier)
+
+    def __copy__(self):
+        new = self.__class__(self.inner)
+        new.__dict__.update(self.__dict__)
+        return new
+
+    def __deepcopy__(self, memo):
+        new = self.__class__(self.inner.incorporate())
+        new.__dict__.update(self.__dict__)
+        new.referenced_by = deepcopy(self.referenced_by, memo)
+
+    def is_referenced_by(self, key):
+        return key in self.referenced_by
+
+    def key(self):
+        """Get the _ReferenceKey that represents this relation
+
+        :return _ReferenceKey: A key for this relation.
+        """
+        return _make_key(self)
+
+    def add_reference(self, referrer: '_CachedRelation'):
+        """Add a reference from referrer to self, indicating that if this node
+        were drop...cascaded, the referrer would be dropped as well.
+
+        :param _CachedRelation referrer: The node that refers to this node.
+        """
+        self.referenced_by[referrer.key()] = referrer
+
+    def collect_consequences(self):
+        """Recursively collect a set of _ReferenceKeys that would
+        consequentially get dropped if this were dropped via
+        "drop ... cascade".
+
+        :return Set[_ReferenceKey]: All the relations that would be dropped
+        """
+        consequences = {self.key()}
+        for relation in self.referenced_by.values():
+            consequences.update(relation.collect_consequences())
+        return consequences
+
+    def release_references(self, keys):
+        """Non-recursively indicate that an iterable of _ReferenceKey no longer
+        exist. Unknown keys are ignored.
+
+        :param Iterable[_ReferenceKey] keys: The keys to drop.
+        """
+        keys = set(self.referenced_by) & set(keys)
+        for key in keys:
+            self.referenced_by.pop(key)
+
+    def rename(self, new_relation):
+        """Rename this cached relation to new_relation.
+        Note that this will change the output of key(), all refs must be
+        updated!
+
+        :param _CachedRelation new_relation: The new name to apply to the
+            relation
+        """
+        # Relations store this stuff inside their `path` dict. But they
+        # also store a table_name, and usually use it in their  .render(),
+        # so we need to update that as well. It doesn't appear that
+        # table_name is ever anything but the identifier (via .create())
+        self.inner = self.inner.incorporate(
+            path={
+                'database': new_relation.inner.database,
+                'schema': new_relation.inner.schema,
+                'identifier': new_relation.inner.identifier
+            },
+        )
+
+    def rename_key(self, old_key, new_key):
+        """Rename a reference that may or may not exist. Only handles the
+        reference itself, so this is the other half of what `rename` does.
+
+        If old_key is not in referenced_by, this is a no-op.
+
+        :param _ReferenceKey old_key: The old key to be renamed.
+        :param _ReferenceKey new_key: The new key to rename to.
+        :raises InternalError: If the new key already exists.
+        """
+        if new_key in self.referenced_by:
+            dbt.exceptions.raise_cache_inconsistent(
+                'in rename of "{}" -> "{}", new name is in the cache already'
+                .format(old_key, new_key)
+            )
+
+        if old_key not in self.referenced_by:
+            return
+        value = self.referenced_by.pop(old_key)
+        self.referenced_by[new_key] = value
+
+    def dump_graph_entry(self):
+        """Return a key/value pair representing this key and its referents.
+
+        return List[str]: The dot-separated form of all referent keys.
+        """
+        return [dot_separated(r) for r in self.referenced_by]
+
+
+def lazy_log(msg, func):
+    if logger.disabled:
+        return
+    logger.debug(msg.format(func()))
+
+
+class RelationsCache:
+    """A cache of the relations known to dbt. Keeps track of relationships
+    declared between tables and handles renames/drops as a real database would.
+
+    :attr Dict[_ReferenceKey, _CachedRelation] relations: The known relations.
+    :attr threading.RLock lock: The lock around relations, held during updates.
+        The adapters also hold this lock while filling the cache.
+    :attr Set[str] schemas: The set of known/cached schemas, all lowercased.
+    """
+    def __init__(self) -> None:
+        self.relations: Dict[_ReferenceKey, _CachedRelation] = {}
+        self.lock = threading.RLock()
+        self.schemas: Set[Tuple[Optional[str], Optional[str]]] = set()
+
+    def add_schema(
+        self, database: Optional[str], schema: Optional[str],
+    ) -> None:
+        """Add a schema to the set of known schemas (case-insensitive)
+
+        :param database: The database name to add.
+        :param schema: The schema name to add.
+        """
+        self.schemas.add((lowercase(database), lowercase(schema)))
+
+    def drop_schema(
+        self, database: Optional[str], schema: Optional[str],
+    ) -> None:
+        """Drop the given schema and remove it from the set of known schemas.
+
+        Then remove all its contents (and their dependents, etc) as well.
+        """
+        key = (lowercase(database), lowercase(schema))
+        if key not in self.schemas:
+            return
+
+        # avoid iterating over self.relations while removing things by
+        # collecting the list first.
+
+        with self.lock:
+            to_remove = self._list_relations_in_schema(database, schema)
+            self._remove_all(to_remove)
+            # handle a drop_schema race by using discard() over remove()
+            self.schemas.discard(key)
+
+    def update_schemas(self, schemas: Iterable[Tuple[Optional[str], str]]):
+        """Add multiple schemas to the set of known schemas (case-insensitive)
+
+        :param schemas: An iterable of the schema names to add.
+        """
+        self.schemas.update((lowercase(d), s.lower()) for (d, s) in schemas)
+
+    def __contains__(self, schema_id: Tuple[Optional[str], str]):
+        """A schema is 'in' the relations cache if it is in the set of cached
+        schemas.
+
+        :param schema_id: The db name and schema name to look up.
+        """
+        db, schema = schema_id
+        return (lowercase(db), schema.lower()) in self.schemas
+
+    def dump_graph(self):
+        """Dump a key-only representation of the schema to a dictionary. Every
+        known relation is a key with a value of a list of keys it is referenced
+        by.
+        """
+        # we have to hold the lock for the entire dump, if other threads modify
+        # self.relations or any cache entry's referenced_by during iteration
+        # it's a runtime error!
+        with self.lock:
+            return {
+                dot_separated(k): v.dump_graph_entry()
+                for k, v in self.relations.items()
+            }
+
+    def _setdefault(self, relation: _CachedRelation):
+        """Add a relation to the cache, or return it if it already exists.
+
+        :param _CachedRelation relation: The relation to set or get.
+        :return _CachedRelation: The relation stored under the given relation's
+            key
+        """
+        self.add_schema(relation.database, relation.schema)
+        key = relation.key()
+        return self.relations.setdefault(key, relation)
+
+    def _add_link(self, referenced_key, dependent_key):
+        """Add a link between two relations to the database. Both the old and
+        new entries must alraedy exist in the database.
+
+        :param _ReferenceKey referenced_key: The key identifying the referenced
+            model (the one that if dropped will drop the dependent model).
+        :param _ReferenceKey dependent_key: The key identifying the dependent
+            model.
+        :raises InternalError: If either entry does not exist.
+        """
+        referenced = self.relations.get(referenced_key)
+        if referenced is None:
+            return
+        if referenced is None:
+            dbt.exceptions.raise_cache_inconsistent(
+                'in add_link, referenced link key {} not in cache!'
+                .format(referenced_key)
+            )
+
+        dependent = self.relations.get(dependent_key)
+        if dependent is None:
+            dbt.exceptions.raise_cache_inconsistent(
+                'in add_link, dependent link key {} not in cache!'
+                .format(dependent_key)
+            )
+
+        assert dependent is not None  # we just raised!
+
+        referenced.add_reference(dependent)
+
+    def add_link(self, referenced, dependent):
+        """Add a link between two relations to the database. If either relation
+        does not exist, it will be added as an "external" relation.
+
+        The dependent model refers _to_ the referenced model. So, given
+        arguments of (jake_test, bar, jake_test, foo):
+        both values are in the schema jake_test and foo is a view that refers
+        to bar, so "drop bar cascade" will drop foo and all of foo's
+        dependents.
+
+        :param BaseRelation referenced: The referenced model.
+        :param BaseRelation dependent: The dependent model.
+        :raises InternalError: If either entry does not exist.
+        """
+        ref_key = _make_key(referenced)
+        if (ref_key.database, ref_key.schema) not in self:
+            # if we have not cached the referenced schema at all, we must be
+            # referring to a table outside our control. There's no need to make
+            # a link - we will never drop the referenced relation during a run.
+            logger.debug(
+                '{dep!s} references {ref!s} but {ref.database}.{ref.schema} '
+                'is not in the cache, skipping assumed external relation'
+                .format(dep=dependent, ref=ref_key)
+            )
+            return
+        if ref_key not in self.relations:
+            # Insert a dummy "external" relation.
+            referenced = referenced.replace(
+                type=referenced.External
+            )
+            self.add(referenced)
+
+        dep_key = _make_key(dependent)
+        if dep_key not in self.relations:
+            # Insert a dummy "external" relation.
+            dependent = dependent.replace(
+                type=referenced.External
+            )
+            self.add(dependent)
+        logger.debug(
+            'adding link, {!s} references {!s}'.format(dep_key, ref_key)
+        )
+        with self.lock:
+            self._add_link(ref_key, dep_key)
+
+    def add(self, relation):
+        """Add the relation inner to the cache, under the schema schema and
+        identifier identifier
+
+        :param BaseRelation relation: The underlying relation.
+        """
+        cached = _CachedRelation(relation)
+        logger.debug('Adding relation: {!s}'.format(cached))
+
+        lazy_log('before adding: {!s}', self.dump_graph)
+
+        with self.lock:
+            self._setdefault(cached)
+
+        lazy_log('after adding: {!s}', self.dump_graph)
+
+    def _remove_refs(self, keys):
+        """Removes all references to all entries in keys. This does not
+        cascade!
+
+        :param Iterable[_ReferenceKey] keys: The keys to remove.
+        """
+        # remove direct refs
+        for key in keys:
+            del self.relations[key]
+        # then remove all entries from each child
+        for cached in self.relations.values():
+            cached.release_references(keys)
+
+    def _drop_cascade_relation(self, dropped):
+        """Drop the given relation and cascade it appropriately to all
+        dependent relations.
+
+        :param _CachedRelation dropped: An existing _CachedRelation to drop.
+        """
+        if dropped not in self.relations:
+            logger.debug('dropped a nonexistent relationship: {!s}'
+                         .format(dropped))
+            return
+        consequences = self.relations[dropped].collect_consequences()
+        logger.debug(
+            'drop {} is cascading to {}'.format(dropped, consequences)
+        )
+        self._remove_refs(consequences)
+
+    def drop(self, relation):
+        """Drop the named relation and cascade it appropriately to all
+        dependent relations.
+
+        Because dbt proactively does many `drop relation if exist ... cascade`
+        that are noops, nonexistent relation drops cause a debug log and no
+        other actions.
+
+        :param str schema: The schema of the relation to drop.
+        :param str identifier: The identifier of the relation to drop.
+        """
+        dropped = _make_key(relation)
+        logger.debug('Dropping relation: {!s}'.format(dropped))
+        with self.lock:
+            self._drop_cascade_relation(dropped)
+
+    def _rename_relation(self, old_key, new_relation):
+        """Rename a relation named old_key to new_key, updating references.
+        Return whether or not there was a key to rename.
+
+        :param _ReferenceKey old_key: The existing key, to rename from.
+        :param _CachedRelation new_key: The new relation, to rename to.
+        """
+        # On the database level, a rename updates all values that were
+        # previously referenced by old_name to be referenced by new_name.
+        # basically, the name changes but some underlying ID moves. Kind of
+        # like an object reference!
+        relation = self.relations.pop(old_key)
+        new_key = new_relation.key()
+
+        # relaton has to rename its innards, so it needs the _CachedRelation.
+        relation.rename(new_relation)
+        # update all the relations that refer to it
+        for cached in self.relations.values():
+            if cached.is_referenced_by(old_key):
+                logger.debug(
+                    'updated reference from {0} -> {2} to {1} -> {2}'
+                    .format(old_key, new_key, cached.key())
+                )
+                cached.rename_key(old_key, new_key)
+
+        self.relations[new_key] = relation
+        # also fixup the schemas!
+        self.add_schema(new_key.database, new_key.schema)
+
+        return True
+
+    def _check_rename_constraints(self, old_key, new_key):
+        """Check the rename constraints, and return whether or not the rename
+        can proceed.
+
+        If the new key is already present, that is an error.
+        If the old key is absent, we debug log and return False, assuming it's
+        a temp table being renamed.
+
+        :param _ReferenceKey old_key: The existing key, to rename from.
+        :param _ReferenceKey new_key: The new key, to rename to.
+        :return bool: If the old relation exists for renaming.
+        :raises InternalError: If the new key is already present.
+        """
+        if new_key in self.relations:
+            dbt.exceptions.raise_cache_inconsistent(
+                'in rename, new key {} already in cache: {}'
+                .format(new_key, list(self.relations.keys()))
+            )
+
+        if old_key not in self.relations:
+            logger.debug(
+                'old key {} not found in self.relations, assuming temporary'
+                .format(old_key)
+            )
+            return False
+        return True
+
+    def rename(self, old, new):
+        """Rename the old schema/identifier to the new schema/identifier and
+        update references.
+
+        If the new schema/identifier is already present, that is an error.
+        If the schema/identifier key is absent, we only debug log and return,
+        assuming it's a temp table being renamed.
+
+        :param BaseRelation old: The existing relation name information.
+        :param BaseRelation new: The new relation name information.
+        :raises InternalError: If the new key is already present.
+        """
+        old_key = _make_key(old)
+        new_key = _make_key(new)
+        logger.debug('Renaming relation {!s} to {!s}'.format(
+            old_key, new_key
+        ))
+
+        lazy_log('before rename: {!s}', self.dump_graph)
+
+        with self.lock:
+            if self._check_rename_constraints(old_key, new_key):
+                self._rename_relation(old_key, _CachedRelation(new))
+            else:
+                self._setdefault(_CachedRelation(new))
+
+        lazy_log('after rename: {!s}', self.dump_graph)
+
+    def get_relations(
+        self, database: Optional[str], schema: Optional[str]
+    ) -> List[Any]:
+        """Case-insensitively yield all relations matching the given schema.
+
+        :param str schema: The case-insensitive schema name to list from.
+        :return List[BaseRelation]: The list of relations with the given
+            schema
+        """
+        database = lowercase(database)
+        schema = lowercase(schema)
+        with self.lock:
+            results = [
+                r.inner for r in self.relations.values()
+                if (lowercase(r.schema) == schema and
+                    lowercase(r.database) == database)
+            ]
+
+        if None in results:
+            dbt.exceptions.raise_cache_inconsistent(
+                'in get_relations, a None relation was found in the cache!'
+            )
+        return results
+
+    def clear(self):
+        """Clear the cache"""
+        with self.lock:
+            self.relations.clear()
+            self.schemas.clear()
+
+    def _list_relations_in_schema(
+        self, database: Optional[str], schema: Optional[str]
+    ) -> List[_CachedRelation]:
+        """Get the relations in a schema. Callers should hold the lock."""
+        key = (lowercase(database), lowercase(schema))
+
+        to_remove: List[_CachedRelation] = []
+        for cachekey, relation in self.relations.items():
+            if (cachekey.database, cachekey.schema) == key:
+                to_remove.append(relation)
+        return to_remove
+
+    def _remove_all(self, to_remove: List[_CachedRelation]):
+        """Remove all the listed relations. Ignore relations that have been
+        cascaded out.
+        """
+        for relation in to_remove:
+            # it may have been cascaded out already
+            drop_key = _make_key(relation)
+            if drop_key in self.relations:
+                self.drop(drop_key)

core/dbt/adapters/factory.py

@@ -0,0 +1,227 @@
+import threading
+from pathlib import Path
+from importlib import import_module
+from typing import Type, Dict, Any, List, Optional, Set
+
+from dbt.exceptions import RuntimeException, InternalException
+from dbt.include.global_project import (
+    PACKAGE_PATH as GLOBAL_PROJECT_PATH,
+    PROJECT_NAME as GLOBAL_PROJECT_NAME,
+)
+from dbt.logger import GLOBAL_LOGGER as logger
+from dbt.contracts.connection import Credentials, AdapterRequiredConfig
+
+
+from dbt.adapters.protocol import (
+    AdapterProtocol,
+    AdapterConfig,
+    RelationProtocol,
+)
+from dbt.adapters.base.plugin import AdapterPlugin
+
+
+Adapter = AdapterProtocol
+
+
+class AdapterContainer:
+    def __init__(self):
+        self.lock = threading.Lock()
+        self.adapters: Dict[str, Adapter] = {}
+        self.plugins: Dict[str, AdapterPlugin] = {}
+        # map package names to their include paths
+        self.packages: Dict[str, Path] = {
+            GLOBAL_PROJECT_NAME: Path(GLOBAL_PROJECT_PATH),
+        }
+
+    def get_plugin_by_name(self, name: str) -> AdapterPlugin:
+        with self.lock:
+            if name in self.plugins:
+                return self.plugins[name]
+            names = ", ".join(self.plugins.keys())
+
+        message = f"Invalid adapter type {name}! Must be one of {names}"
+        raise RuntimeException(message)
+
+    def get_adapter_class_by_name(self, name: str) -> Type[Adapter]:
+        plugin = self.get_plugin_by_name(name)
+        return plugin.adapter
+
+    def get_relation_class_by_name(self, name: str) -> Type[RelationProtocol]:
+        adapter = self.get_adapter_class_by_name(name)
+        return adapter.Relation
+
+    def get_config_class_by_name(
+        self, name: str
+    ) -> Type[AdapterConfig]:
+        adapter = self.get_adapter_class_by_name(name)
+        return adapter.AdapterSpecificConfigs
+
+    def load_plugin(self, name: str) -> Type[Credentials]:
+        # this doesn't need a lock: in the worst case we'll overwrite packages
+        # and adapter_type entries with the same value, as they're all
+        # singletons
+        try:
+            # mypy doesn't think modules have any attributes.
+            mod: Any = import_module('.' + name, 'dbt.adapters')
+        except ModuleNotFoundError as exc:
+            # if we failed to import the target module in particular, inform
+            # the user about it via a runtime error
+            if exc.name == 'dbt.adapters.' + name:
+                raise RuntimeException(f'Could not find adapter type {name}!')
+            logger.info(f'Error importing adapter: {exc}')
+            # otherwise, the error had to have come from some underlying
+            # library. Log the stack trace.
+            logger.debug('', exc_info=True)
+            raise
+        plugin: AdapterPlugin = mod.Plugin
+        plugin_type = plugin.adapter.type()
+
+        if plugin_type != name:
+            raise RuntimeException(
+                f'Expected to find adapter with type named {name}, got '
+                f'adapter with type {plugin_type}'
+            )
+
+        with self.lock:
+            # things do hold the lock to iterate over it so we need it to add
+            self.plugins[name] = plugin
+
+        self.packages[plugin.project_name] = Path(plugin.include_path)
+
+        for dep in plugin.dependencies:
+            self.load_plugin(dep)
+
+        return plugin.credentials
+
+    def register_adapter(self, config: AdapterRequiredConfig) -> None:
+        adapter_name = config.credentials.type
+        adapter_type = self.get_adapter_class_by_name(adapter_name)
+
+        with self.lock:
+            if adapter_name in self.adapters:
+                # this shouldn't really happen...
+                return
+
+            adapter: Adapter = adapter_type(config)  # type: ignore
+            self.adapters[adapter_name] = adapter
+
+    def lookup_adapter(self, adapter_name: str) -> Adapter:
+        return self.adapters[adapter_name]
+
+    def reset_adapters(self):
+        """Clear the adapters. This is useful for tests, which change configs.
+        """
+        with self.lock:
+            for adapter in self.adapters.values():
+                adapter.cleanup_connections()
+            self.adapters.clear()
+
+    def cleanup_connections(self):
+        """Only clean up the adapter connections list without resetting the
+        actual adapters.
+        """
+        with self.lock:
+            for adapter in self.adapters.values():
+                adapter.cleanup_connections()
+
+    def get_adapter_plugins(self, name: Optional[str]) -> List[AdapterPlugin]:
+        """Iterate over the known adapter plugins. If a name is provided,
+        iterate in dependency order over the named plugin and its dependencies.
+        """
+        if name is None:
+            return list(self.plugins.values())
+
+        plugins: List[AdapterPlugin] = []
+        seen: Set[str] = set()
+        plugin_names: List[str] = [name]
+        while plugin_names:
+            plugin_name = plugin_names[0]
+            plugin_names = plugin_names[1:]
+            try:
+                plugin = self.plugins[plugin_name]
+            except KeyError:
+                raise InternalException(
+                    f'No plugin found for {plugin_name}'
+                ) from None
+            plugins.append(plugin)
+            seen.add(plugin_name)
+            if plugin.dependencies is None:
+                continue
+            for dep in plugin.dependencies:
+                if dep not in seen:
+                    plugin_names.append(dep)
+        return plugins
+
+    def get_adapter_package_names(self, name: Optional[str]) -> List[str]:
+        package_names: List[str] = [
+            p.project_name for p in self.get_adapter_plugins(name)
+        ]
+        package_names.append(GLOBAL_PROJECT_NAME)
+        return package_names
+
+    def get_include_paths(self, name: Optional[str]) -> List[Path]:
+        paths = []
+        for package_name in self.get_adapter_package_names(name):
+            try:
+                path = self.packages[package_name]
+            except KeyError:
+                raise InternalException(
+                    f'No internal package listing found for {package_name}'
+                )
+            paths.append(path)
+        return paths
+
+    def get_adapter_type_names(self, name: Optional[str]) -> List[str]:
+        return [p.adapter.type() for p in self.get_adapter_plugins(name)]
+
+
+FACTORY: AdapterContainer = AdapterContainer()
+
+
+def register_adapter(config: AdapterRequiredConfig) -> None:
+    FACTORY.register_adapter(config)
+
+
+def get_adapter(config: AdapterRequiredConfig):
+    return FACTORY.lookup_adapter(config.credentials.type)
+
+
+def reset_adapters():
+    """Clear the adapters. This is useful for tests, which change configs.
+    """
+    FACTORY.reset_adapters()
+
+
+def cleanup_connections():
+    """Only clean up the adapter connections list without resetting the actual
+    adapters.
+    """
+    FACTORY.cleanup_connections()
+
+
+def get_adapter_class_by_name(name: str) -> Type[AdapterProtocol]:
+    return FACTORY.get_adapter_class_by_name(name)
+
+
+def get_config_class_by_name(name: str) -> Type[AdapterConfig]:
+    return FACTORY.get_config_class_by_name(name)
+
+
+def get_relation_class_by_name(name: str) -> Type[RelationProtocol]:
+    return FACTORY.get_relation_class_by_name(name)
+
+
+def load_plugin(name: str) -> Type[Credentials]:
+    return FACTORY.load_plugin(name)
+
+
+def get_include_paths(name: Optional[str]) -> List[Path]:
+    return FACTORY.get_include_paths(name)
+
+
+def get_adapter_package_names(name: Optional[str]) -> List[str]:
+    return FACTORY.get_adapter_package_names(name)
+
+
+def get_adapter_type_names(name: Optional[str]) -> List[str]:
+    return FACTORY.get_adapter_type_names(name)

core/dbt/adapters/protocol.py

@@ -0,0 +1,163 @@
+from dataclasses import dataclass
+from typing import (
+    Type, Hashable, Optional, ContextManager, List, Generic, TypeVar, ClassVar,
+    Tuple, Union, Dict, Any
+)
+from typing_extensions import Protocol
+
+import agate
+
+from dbt.contracts.connection import (
+    Connection, AdapterRequiredConfig, AdapterResponse
+)
+from dbt.contracts.graph.compiled import (
+    CompiledNode, ManifestNode, NonSourceCompiledNode
+)
+from dbt.contracts.graph.parsed import ParsedNode, ParsedSourceDefinition
+from dbt.contracts.graph.model_config import BaseConfig
+from dbt.contracts.graph.manifest import Manifest
+from dbt.contracts.relation import Policy, HasQuoting
+
+from dbt.graph import Graph
+
+
+@dataclass
+class AdapterConfig(BaseConfig):
+    pass
+
+
+class ConnectionManagerProtocol(Protocol):
+    TYPE: str
+
+
+class ColumnProtocol(Protocol):
+    pass
+
+
+Self = TypeVar('Self', bound='RelationProtocol')
+
+
+class RelationProtocol(Protocol):
+    @classmethod
+    def get_default_quote_policy(cls) -> Policy:
+        ...
+
+    @classmethod
+    def create_from(
+        cls: Type[Self],
+        config: HasQuoting,
+        node: Union[CompiledNode, ParsedNode, ParsedSourceDefinition],
+    ) -> Self:
+        ...
+
+
+class CompilerProtocol(Protocol):
+    def compile(self, manifest: Manifest, write=True) -> Graph:
+        ...
+
+    def compile_node(
+        self,
+        node: ManifestNode,
+        manifest: Manifest,
+        extra_context: Optional[Dict[str, Any]] = None,
+    ) -> NonSourceCompiledNode:
+        ...
+
+
+AdapterConfig_T = TypeVar(
+    'AdapterConfig_T', bound=AdapterConfig
+)
+ConnectionManager_T = TypeVar(
+    'ConnectionManager_T', bound=ConnectionManagerProtocol
+)
+Relation_T = TypeVar(
+    'Relation_T', bound=RelationProtocol
+)
+Column_T = TypeVar(
+    'Column_T', bound=ColumnProtocol
+)
+Compiler_T = TypeVar('Compiler_T', bound=CompilerProtocol)
+
+
+class AdapterProtocol(
+    Protocol,
+    Generic[
+        AdapterConfig_T,
+        ConnectionManager_T,
+        Relation_T,
+        Column_T,
+        Compiler_T,
+    ]
+):
+    AdapterSpecificConfigs: ClassVar[Type[AdapterConfig_T]]
+    Column: ClassVar[Type[Column_T]]
+    Relation: ClassVar[Type[Relation_T]]
+    ConnectionManager: ClassVar[Type[ConnectionManager_T]]
+    connections: ConnectionManager_T
+
+    def __init__(self, config: AdapterRequiredConfig):
+        ...
+
+    @classmethod
+    def type(cls) -> str:
+        pass
+
+    def set_query_header(self, manifest: Manifest) -> None:
+        ...
+
+    @staticmethod
+    def get_thread_identifier() -> Hashable:
+        ...
+
+    def get_thread_connection(self) -> Connection:
+        ...
+
+    def set_thread_connection(self, conn: Connection) -> None:
+        ...
+
+    def get_if_exists(self) -> Optional[Connection]:
+        ...
+
+    def clear_thread_connection(self) -> None:
+        ...
+
+    def clear_transaction(self) -> None:
+        ...
+
+    def exception_handler(self, sql: str) -> ContextManager:
+        ...
+
+    def set_connection_name(self, name: Optional[str] = None) -> Connection:
+        ...
+
+    def cancel_open(self) -> Optional[List[str]]:
+        ...
+
+    def open(cls, connection: Connection) -> Connection:
+        ...
+
+    def release(self) -> None:
+        ...
+
+    def cleanup_all(self) -> None:
+        ...
+
+    def begin(self) -> None:
+        ...
+
+    def commit(self) -> None:
+        ...
+
+    def close(cls, connection: Connection) -> Connection:
+        ...
+
+    def commit_if_has_connection(self) -> None:
+        ...
+
+    def execute(
+        self, sql: str, auto_begin: bool = False, fetch: bool = False
+    ) -> Tuple[Union[str, AdapterResponse], agate.Table]:
+        ...
+
+    def get_compiler(self) -> Compiler_T:
+        ...

core/dbt/adapters/sql/__init__.py

@@ -0,0 +1,3 @@
+# these are all just exports, #noqa them so flake8 will be happy
+from dbt.adapters.sql.connections import SQLConnectionManager  # noqa
+from dbt.adapters.sql.impl import SQLAdapter  # noqa

core/dbt/adapters/sql/connections.py

@@ -0,0 +1,182 @@
+import abc
+import time
+from typing import List, Optional, Tuple, Any, Iterable, Dict, Union
+
+import agate
+
+import dbt.clients.agate_helper
+import dbt.exceptions
+from dbt.adapters.base import BaseConnectionManager
+from dbt.contracts.connection import (
+    Connection, ConnectionState, AdapterResponse
+)
+from dbt.logger import GLOBAL_LOGGER as logger
+from dbt import flags
+
+
+class SQLConnectionManager(BaseConnectionManager):
+    """The default connection manager with some common SQL methods implemented.
+
+    Methods to implement:
+        - exception_handler
+        - cancel
+        - get_response
+        - open
+    """
+    @abc.abstractmethod
+    def cancel(self, connection: Connection):
+        """Cancel the given connection."""
+        raise dbt.exceptions.NotImplementedException(
+            '`cancel` is not implemented for this adapter!'
+        )
+
+    def cancel_open(self) -> List[str]:
+        names = []
+        this_connection = self.get_if_exists()
+        with self.lock:
+            for connection in self.thread_connections.values():
+                if connection is this_connection:
+                    continue
+
+                # if the connection failed, the handle will be None so we have
+                # nothing to cancel.
+                if (
+                    connection.handle is not None and
+                    connection.state == ConnectionState.OPEN
+                ):
+                    self.cancel(connection)
+                if connection.name is not None:
+                    names.append(connection.name)
+        return names
+
+    def add_query(
+        self,
+        sql: str,
+        auto_begin: bool = True,
+        bindings: Optional[Any] = None,
+        abridge_sql_log: bool = False
+    ) -> Tuple[Connection, Any]:
+        connection = self.get_thread_connection()
+        if auto_begin and connection.transaction_open is False:
+            self.begin()
+
+        logger.debug('Using {} connection "{}".'
+                     .format(self.TYPE, connection.name))
+
+        with self.exception_handler(sql):
+            if abridge_sql_log:
+                log_sql = '{}...'.format(sql[:512])
+            else:
+                log_sql = sql
+
+            logger.debug(
+                'On {connection_name}: {sql}',
+                connection_name=connection.name,
+                sql=log_sql,
+            )
+            pre = time.time()
+
+            cursor = connection.handle.cursor()
+            cursor.execute(sql, bindings)
+            logger.debug(
+                "SQL status: {status} in {elapsed:0.2f} seconds",
+                status=self.get_response(cursor),
+                elapsed=(time.time() - pre)
+            )
+
+            return connection, cursor
+
+    @abc.abstractclassmethod
+    def get_response(cls, cursor: Any) -> Union[AdapterResponse, str]:
+        """Get the status of the cursor."""
+        raise dbt.exceptions.NotImplementedException(
+            '`get_response` is not implemented for this adapter!'
+        )
+
+    @classmethod
+    def process_results(
+        cls,
+        column_names: Iterable[str],
+        rows: Iterable[Any]
+    ) -> List[Dict[str, Any]]:
+        unique_col_names = dict()
+        for idx in range(len(column_names)):
+            col_name = column_names[idx]
+            if col_name in unique_col_names:
+                unique_col_names[col_name] += 1
+                column_names[idx] = f'{col_name}_{unique_col_names[col_name]}'
+            else:
+                unique_col_names[column_names[idx]] = 1
+        return [dict(zip(column_names, row)) for row in rows]
+
+    @classmethod
+    def get_result_from_cursor(cls, cursor: Any) -> agate.Table:
+        data: List[Any] = []
+        column_names: List[str] = []
+
+        if cursor.description is not None:
+            column_names = [col[0] for col in cursor.description]
+            rows = cursor.fetchall()
+            data = cls.process_results(column_names, rows)
+
+        return dbt.clients.agate_helper.table_from_data_flat(
+            data,
+            column_names
+        )
+
+    def execute(
+        self, sql: str, auto_begin: bool = False, fetch: bool = False
+    ) -> Tuple[Union[AdapterResponse, str], agate.Table]:
+        sql = self._add_query_comment(sql)
+        _, cursor = self.add_query(sql, auto_begin)
+        response = self.get_response(cursor)
+        if fetch:
+            table = self.get_result_from_cursor(cursor)
+        else:
+            table = dbt.clients.agate_helper.empty_table()
+        return response, table
+
+    def add_begin_query(self):
+        return self.add_query('BEGIN', auto_begin=False)
+
+    def add_commit_query(self):
+        return self.add_query('COMMIT', auto_begin=False)
+
+    def begin(self):
+        connection = self.get_thread_connection()
+
+        if flags.STRICT_MODE:
+            if not isinstance(connection, Connection):
+                raise dbt.exceptions.CompilerException(
+                    f'In begin, got {connection} - not a Connection!'
+                )
+
+        if connection.transaction_open is True:
+            raise dbt.exceptions.InternalException(
+                'Tried to begin a new transaction on connection "{}", but '
+                'it already had one open!'.format(connection.name))
+
+        self.add_begin_query()
+
+        connection.transaction_open = True
+        return connection
+
+    def commit(self):
+        connection = self.get_thread_connection()
+        if flags.STRICT_MODE:
+            if not isinstance(connection, Connection):
+                raise dbt.exceptions.CompilerException(
+                    f'In commit, got {connection} - not a Connection!'
+                )
+
+        if connection.transaction_open is False:
+            raise dbt.exceptions.InternalException(
+                'Tried to commit transaction on connection "{}", but '
+                'it does not have one open!'.format(connection.name))
+
+        logger.debug('On {}: COMMIT'.format(connection.name))
+        self.add_commit_query()
+
+        connection.transaction_open = False
+
+        return connection

core/dbt/adapters/sql/impl.py

@@ -0,0 +1,250 @@
+import agate
+from typing import Any, Optional, Tuple, Type, List
+
+import dbt.clients.agate_helper
+from dbt.contracts.connection import Connection
+import dbt.exceptions
+from dbt.adapters.base import BaseAdapter, available
+from dbt.adapters.sql import SQLConnectionManager
+from dbt.logger import GLOBAL_LOGGER as logger
+
+from dbt.adapters.base.relation import BaseRelation
+
+LIST_RELATIONS_MACRO_NAME = 'list_relations_without_caching'
+GET_COLUMNS_IN_RELATION_MACRO_NAME = 'get_columns_in_relation'
+LIST_SCHEMAS_MACRO_NAME = 'list_schemas'
+CHECK_SCHEMA_EXISTS_MACRO_NAME = 'check_schema_exists'
+CREATE_SCHEMA_MACRO_NAME = 'create_schema'
+DROP_SCHEMA_MACRO_NAME = 'drop_schema'
+RENAME_RELATION_MACRO_NAME = 'rename_relation'
+TRUNCATE_RELATION_MACRO_NAME = 'truncate_relation'
+DROP_RELATION_MACRO_NAME = 'drop_relation'
+ALTER_COLUMN_TYPE_MACRO_NAME = 'alter_column_type'
+
+
+class SQLAdapter(BaseAdapter):
+    """The default adapter with the common agate conversions and some SQL
+    methods implemented. This adapter has a different much shorter list of
+    methods to implement, but some more macros that must be implemented.
+
+    To implement a macro, implement "${adapter_type}__${macro_name}". in the
+    adapter's internal project.
+
+    Methods to implement:
+        - date_function
+
+    Macros to implement:
+        - get_catalog
+        - list_relations_without_caching
+        - get_columns_in_relation
+    """
+
+    ConnectionManager: Type[SQLConnectionManager]
+    connections: SQLConnectionManager
+
+    @available.parse(lambda *a, **k: (None, None))
+    def add_query(
+        self,
+        sql: str,
+        auto_begin: bool = True,
+        bindings: Optional[Any] = None,
+        abridge_sql_log: bool = False,
+    ) -> Tuple[Connection, Any]:
+        """Add a query to the current transaction. A thin wrapper around
+        ConnectionManager.add_query.
+
+        :param sql: The SQL query to add
+        :param auto_begin: If set and there is no transaction in progress,
+            begin a new one.
+        :param bindings: An optional list of bindings for the query.
+        :param abridge_sql_log: If set, limit the raw sql logged to 512
+            characters
+        """
+        return self.connections.add_query(sql, auto_begin, bindings,
+                                          abridge_sql_log)
+
+    @classmethod
+    def convert_text_type(cls, agate_table: agate.Table, col_idx: int) -> str:
+        return "text"
+
+    @classmethod
+    def convert_number_type(
+        cls, agate_table: agate.Table, col_idx: int
+    ) -> str:
+        decimals = agate_table.aggregate(agate.MaxPrecision(col_idx))
+        return "float8" if decimals else "integer"
+
+    @classmethod
+    def convert_boolean_type(
+            cls, agate_table: agate.Table, col_idx: int
+    ) -> str:
+        return "boolean"
+
+    @classmethod
+    def convert_datetime_type(
+            cls, agate_table: agate.Table, col_idx: int
+    ) -> str:
+        return "timestamp without time zone"
+
+    @classmethod
+    def convert_date_type(cls, agate_table: agate.Table, col_idx: int) -> str:
+        return "date"
+
+    @classmethod
+    def convert_time_type(cls, agate_table: agate.Table, col_idx: int) -> str:
+        return "time"
+
+    @classmethod
+    def is_cancelable(cls) -> bool:
+        return True
+
+    def expand_column_types(self, goal, current):
+        reference_columns = {
+            c.name: c for c in
+            self.get_columns_in_relation(goal)
+        }
+
+        target_columns = {
+            c.name: c for c
+            in self.get_columns_in_relation(current)
+        }
+
+        for column_name, reference_column in reference_columns.items():
+            target_column = target_columns.get(column_name)
+
+            if target_column is not None and \
+               target_column.can_expand_to(reference_column):
+                col_string_size = reference_column.string_size()
+                new_type = self.Column.string_type(col_string_size)
+                logger.debug("Changing col type from {} to {} in table {}",
+                             target_column.data_type, new_type, current)
+
+                self.alter_column_type(current, column_name, new_type)
+
+    def alter_column_type(
+            self, relation, column_name, new_column_type
+    ) -> None:
+        """
+        1. Create a new column (w/ temp name and correct type)
+        2. Copy data over to it
+        3. Drop the existing column (cascade!)
+        4. Rename the new column to existing column
+        """
+        kwargs = {
+            'relation': relation,
+            'column_name': column_name,
+            'new_column_type': new_column_type,
+        }
+        self.execute_macro(
+            ALTER_COLUMN_TYPE_MACRO_NAME,
+            kwargs=kwargs
+        )
+
+    def drop_relation(self, relation):
+        if relation.type is None:
+            dbt.exceptions.raise_compiler_error(
+                'Tried to drop relation {}, but its type is null.'
+                .format(relation))
+
+        self.cache_dropped(relation)
+        self.execute_macro(
+            DROP_RELATION_MACRO_NAME,
+            kwargs={'relation': relation}
+        )
+
+    def truncate_relation(self, relation):
+        self.execute_macro(
+            TRUNCATE_RELATION_MACRO_NAME,
+            kwargs={'relation': relation}
+        )
+
+    def rename_relation(self, from_relation, to_relation):
+        self.cache_renamed(from_relation, to_relation)
+
+        kwargs = {'from_relation': from_relation, 'to_relation': to_relation}
+        self.execute_macro(
+            RENAME_RELATION_MACRO_NAME,
+            kwargs=kwargs
+        )
+
+    def get_columns_in_relation(self, relation):
+        return self.execute_macro(
+            GET_COLUMNS_IN_RELATION_MACRO_NAME,
+            kwargs={'relation': relation}
+        )
+
+    def create_schema(self, relation: BaseRelation) -> None:
+        relation = relation.without_identifier()
+        logger.debug('Creating schema "{}"', relation)
+        kwargs = {
+            'relation': relation,
+        }
+        self.execute_macro(CREATE_SCHEMA_MACRO_NAME, kwargs=kwargs)
+        self.commit_if_has_connection()
+        # we can't update the cache here, as if the schema already existed we
+        # don't want to (incorrectly) say that it's empty
+
+    def drop_schema(self, relation: BaseRelation) -> None:
+        relation = relation.without_identifier()
+        logger.debug('Dropping schema "{}".', relation)
+        kwargs = {
+            'relation': relation,
+        }
+        self.execute_macro(DROP_SCHEMA_MACRO_NAME, kwargs=kwargs)
+        # we can update the cache here
+        self.cache.drop_schema(relation.database, relation.schema)
+
+    def list_relations_without_caching(
+        self, schema_relation: BaseRelation,
+    ) -> List[BaseRelation]:
+        kwargs = {'schema_relation': schema_relation}
+        results = self.execute_macro(
+            LIST_RELATIONS_MACRO_NAME,
+            kwargs=kwargs
+        )
+
+        relations = []
+        quote_policy = {
+            'database': True,
+            'schema': True,
+            'identifier': True
+        }
+        for _database, name, _schema, _type in results:
+            try:
+                _type = self.Relation.get_relation_type(_type)
+            except ValueError:
+                _type = self.Relation.External
+            relations.append(self.Relation.create(
+                database=_database,
+                schema=_schema,
+                identifier=name,
+                quote_policy=quote_policy,
+                type=_type
+            ))
+        return relations
+
+    def quote(self, identifier):
+        return '"{}"'.format(identifier)
+
+    def list_schemas(self, database: str) -> List[str]:
+        results = self.execute_macro(
+            LIST_SCHEMAS_MACRO_NAME,
+            kwargs={'database': database}
+        )
+
+        return [row[0] for row in results]
+
+    def check_schema_exists(self, database: str, schema: str) -> bool:
+        information_schema = self.Relation.create(
+            database=database,
+            schema=schema,
+            identifier='INFORMATION_SCHEMA',
+            quote_policy=self.config.quoting
+        ).information_schema()
+
+        kwargs = {'information_schema': information_schema, 'schema': schema}
+        results = self.execute_macro(
+            CHECK_SCHEMA_EXISTS_MACRO_NAME,
+            kwargs=kwargs
+        )
+        return results[0][0] > 0

core/dbt/artifacts/README.md

@@ -1,70 +0,0 @@
-# dbt/artifacts
-
-## Overview
-This directory is meant to be a lightweight module that is independent (and upstream of) the rest of `dbt-core` internals.
-
-Its primary responsibility is to define simple data classes that represent the versioned artifact schemas that dbt writes as JSON files throughout execution. 
-
-Eventually, this module may be released as a standalone package (e.g. `dbt-artifacts`) to support stable programmatic parsing of dbt artifacts.
-
-`dbt/artifacts` is organized into artifact 'schemas' and 'resources'. Schemas represent the final serialized artifact objects, while resources represent smaller components within those schemas.
-
-### dbt/artifacts/schemas
-
-Each major version of a schema under `dbt/artifacts/schema` is defined in its corresponding `dbt/artifacts/schema/<artifact-name>/v<version>` directory. Before `dbt/artifacts` artifact schemas were always modified in-place, which is why older artifacts are those missing class definitions.
-
-Currently, there are four artifact schemas defined in `dbt/artifact/schemas`:
-
-| Artifact name | File             | Class                            | Latest definition                 |
-|---------------|------------------|----------------------------------|-----------------------------------|
-| manifest      | manifest.json    | WritableManifest                 | dbt/artifacts/schema/manifest/v12 |
-| catalog       | catalog.json     | CatalogArtifact                  | dbt/artifacts/schema/catalog/v1   |
-| run           | run_results.json | RunResultsArtifact               | dbt/artifacts/schema/run/v5       |
-| freshness     | sources.json     | FreshnessExecutionResultArtifact | dbt/artifacts/schema/freshness/v3 |
-
-
-### dbt/artifacts/resources
-
-All existing resources are defined under `dbt/artifacts/resources/v1`.
-
-## Making changes to dbt/artifacts
-
-### Non-breaking changes
-
-Freely make incremental, non-breaking changes in-place to the latest major version of any artifact (minor or patch bumps). The only changes that are fully forward and backward compatible are:
-* Adding a new field with a default
-* Deleting a field with a default. This is compatible in terms of serialization and deserialization, but still may be lead to suprising behaviour:
-    * For artifact consumers relying on the fields existence (e.g. `manifest["deleted_field"]` will stop working unless the access was implemented safely)
-    * Old code (e.g. in dbt-core) that relies on the value of the deleted field may have surprising behaviour given only the default value will be set when instantiated from the new schema
-
-These types of minor, non-breaking changes are tested by [tests/unit/artifacts/test_base_resource.py::TestMinorSchemaChange](https://github.com/dbt-labs/dbt-core/blob/main/tests/unit/artifacts/test_base_resource.py).
-
-
-#### Updating [schemas.getdbt.com](https://schemas.getdbt.com)
-Non-breaking changes to artifact schemas require an update to the corresponding jsonschemas published to [schemas.getdbt.com](https://schemas.getdbt.com), which are defined in https://github.com/dbt-labs/schemas.getdbt.com. To do so: 
-1. Create a PR in https://github.com/dbt-labs/schemas.getdbt.com which reflects the schema changes to the artifact. The schema can be updated in-place for non-breaking changes. Example PR: https://github.com/dbt-labs/schemas.getdbt.com/pull/39
-2. Merge the https://github.com/dbt-labs/schemas.getdbt.com PR
-3. Observe the `Artifact Schema Check` CI check pass on the `dbt-core` PR that updates the artifact schemas, and merge the `dbt-core` PR!
-
-Note: Although `jsonschema` validation using the schemas in [schemas.getdbt.com](https://schemas.getdbt.com) is not encouraged or formally supported, `jsonschema` validation should still continue to work once the schemas are updated because they are forward-compatible and can therefore be used to validate previous minor versions of the schema.
-
-### Breaking changes
-A breaking change is anything that:
-* Deletes a required field
-* Changes the name or type of an existing field
-* Removes the default value of an existing field
-
-These should be avoided however possible. When necessary, multiple breaking changes should be bundled together, to aim for minimal disruption across the ecosystem of tools that leverage dbt metadata. 
-
-When it comes time to make breaking changes, a new versioned artifact should be created as follows: 
- 1. Create a new version directory and file that defines the new artifact schema under `dbt/artifacts/schemas/<artifact>/v<next-artifact-version>/<artifact>.py`
- 2. If any resources are having breaking changes introduced, create a new resource class that defines the new resource schema under `dbt/artifacts/resources/v<next-resource-version>/<resource>.py`
- 3. Implement upgrade paths on the new versioned artifact class so it can be constructed given a dictionary representation of any previous version of the same artifact
-     * TODO: link example once available
-4. Implement downgrade paths on all previous versions of the artifact class so they can still be constructed given a dictionary representation of the new artifact schema
-    * TODO: link example once available
-5. Update the 'latest' aliases to point to the new version of the artifact and/or resource:
-    * Artifact: `dbt/artifacts/schemas/<artifact>/__init__.py `
-    * Resource: `dbt/artifacts/resources/__init__.py `
-
-Downstream consumers (e.g. `dbt-core`) importing from the latest alias are susceptible to breaking changes. Ideally, any incompatibilities should be caught my static type checking in those systems. However, it is always possible for consumers to pin imports to previous versions via `dbt.artifacts.schemas.<artifact>.v<prev-version>`.

core/dbt/artifacts/exceptions/__init__.py

@@ -1 +0,0 @@
-from dbt.artifacts.exceptions.schemas import IncompatibleSchemaError