* Add docstrings to `contracts/graph/metrics.py` functions to document what they do
Used [dbt-labs/dbt-core#5607](https://github.com/dbt-labs/dbt-core/pull/5607)
for context on what the functions should do.
* Add typing to `reverse_dag_parsing` and update function to work on 1.6+ metrics
* Add typing to `parent_metrics` and `parent_metrics_names`
* Add typing to `base_metric_dependency` and `derived_metric_dependency` and update functions to work on 1.6+ metrics
* Simplify implementations of `basic_metric_dependency` and `derived_metric_dependnecy`
* Add typing to `ResolvedMetricReference` initialization
* Add typing to `derived_metric_dependency_graph`
* Simplify conditional controls in `ResolvedMetricReference` functions
The functions in `ResolvedMetricReference` use `manifest.metric.get(...)`
which will only return either a `Metric` or `None`, never a different
node type. Thus we don't need to check that the returned metric is
a metric.
* Don't recurse on over `depends_on` for non-derived metrics in `reverse_dag_parsing`
The function `reverse_dag_parsing` only cares about derived metrics,
that is metrics that depend on other metrics. Metrics only depend on
other metrics if they are one of the `DERIVED_METRICS` types. Thus
doing a recursive call to `reverse_dag_parsing` for non `DERIVED_METRICS`
types is unnecessary. Previously we were iterating over a metric's
`depends_on` property regardless of whether the metric was a `DERIVED_METRICS`
type. Now we only do this work if the metric is of a `DERIVED_METRICS`
type.
* Simplify `parent_metrics_names` by having it call `parent_metrics`
* Unskip `TestMetricHelperFunctions.test_derived_metric` and update fixture setup
* Add changie doc for metric helper function updates
* Get manifest in `test_derived_metric` from the parse dbt_run invocation
* Remove `Relation` a intiatlization attribute for `ResolvedMetricReference`
* Add return typing to class `__` functions of `ResolvedMetricReference`
* Move from `manifest.metrics.get` to `manifest.expect` in metric helpers
Previously with `manifest.metrics.get` we were just skipping when `None`
was returned. Getting `None` back was expected in that `parent_unique_id`s
that didn't belong to metrics should return `None` when calling
`manifest.metrics.get`, and these are fine to skip. However, there's
an edgecase where a `parent_unique_id` is supposed to be a metric, but
isn't found, thus returning `None`. How likely this edge case could
get hit, I'm not sure, but it's a possible edge case. Using `manifest.metrics.get`
it we can't actually tell if we're in the edge case or not. By moving
to `manifest.expect` we get the error handling built in, and the only
trade off is that we need to change our conditional to skip returned
nodes that aren't metrics.
* update `Number` class to handle integer values (#8306)
* add show test for json data
* oh changie my changie
* revert unecessary cahnge to fixture
* keep decimal class for precision methods, but return __int__ value
* jerco updates
* update integer type
* update other tests
* Update .changes/unreleased/Fixes-20230803-093502.yaml
---------
Co-authored-by: Emily Rockman <emily.rockman@dbtlabs.com>
* account for integer vs number on table merges
* add tests for combining number with integer.
* add unit test when nulls are added
* cant none as an Integer
* fix null tests
---------
Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com>
Co-authored-by: Dave Connors <dave.connors@fishtownanalytics.com>
* first draft of adding in table - materialized view swap
* table/view/materialized view can all replace each other
* update renameable relations to a config
* migrate relations macros from `macros/adapters/relations` to `macros/relations` so that generics are close to the relation specific macros that they reference; also aligns with adapter macro files structure, to look more familiar
* move drop macro to drop macro file
* align the behavior of get_drop_sql and drop_relation, adopt existing default from drop_relation
* add explicit ddl for drop statements instead of inheriting the default from dbt-core
* update replace macro dependent macros to align with naming standards
* update type for mashumaro, update related test
* Improve typing of `ContextMember` functions
* Improve typing of `Var` functions
* Improve typing of `ContextMeta.__new__`
* Improve typing `BaseContext` and functions
In addition to just adding parameter typing and return typing to
`BaseContext` functions. We also declared `_context_members_` and
`_context_attrs_` as properites of `BaseContext` this was necessary
because they're being accessed in the classes functions. However,
because they were being indirectly instantiated by the metaclass
`ContextMeta`, the properties weren't actually known to exist. By
adding declaring the properties on the `BaseContext`, we let mypy
know they exist.
* Remove bare `invocations` of `@contextmember` and `@contextproperty`, and add typing to them
Previously `contextmember` and `contextproperty` were 2-in-1 decorators.
This meant they could be invoked either as `@contextmember` or
`@contextmember('some_string')`. This was fine until we wanted to return
typing to the functions. In the instance where the bare decorator was used
(i.e. no `(...)` were present) an object was expected to be returned. However
in the instance where parameters were passed on the invocation, a callable
was expected to be returned. Putting a union of both in the return type
made the invocations complain about each others' return type. To get around this
we've dropped the bare invocation as acceptable. The parenthesis are now always
required, but passing a string in them is optional.
* WIP
* WIP
* get group and enabled added
* changelog
* cleanup
* getting measure lookup working
* missed file
* get project level working
* fix last test
* add groups to config tests
* more group tests
* fix path
* clean up manifest.py
* update error message
* fix test assert
* remove extra check
* resolve conflicts in manaifest
* update manifest
* resolve conflict
* add alias
* Add compiled node properties to run_results.json
* Include compiled-node attributes in run_results.json
* Fix typo
* Bump schema version of run_results
* Fix test assertions
* Update expected run_results to reflect new attributes
* Code review changes
* Fix mypy warnings for ManifestLoader.load() (#8443)
* revert python version for docker images (#8445)
* revert python version for docker images
* add comment to not update python version, update changelog
* Bumping version to 1.7.0b1 and generate changelog
* [CT-3013] Fix parsing of `window_groupings` (#8454)
* Update semantic model parsing tests to check measure non_additive_dimension spec
* Make `window_groupings` default to empty list if not specified on `non_additive_dimension`
* Add changie doc for `window_groupings` parsing fix
* update `Number` class to handle integer values (#8306)
* add show test for json data
* oh changie my changie
* revert unecessary cahnge to fixture
* keep decimal class for precision methods, but return __int__ value
* jerco updates
* update integer type
* update other tests
* Update .changes/unreleased/Fixes-20230803-093502.yaml
---------
Co-authored-by: Emily Rockman <emily.rockman@dbtlabs.com>
* Improve docker image README (#8212)
* Improve docker image README
- Fix unnecessary/missing newline escapes
- Remove double whitespace between parameters
- 2-space indent for extra lines in image build commands
* Add changelog entry for #8212
* ADAP-814: Refactor prep for MV updates (#8459)
* apply reformatting changes only for #8449
* add logging back to get_create_materialized_view_as_sql
* changie
* swap trigger (#8463)
* update the implementation template (#8466)
* update the implementation template
* add colon
* Split tests into classes (#8474)
* add flaky decorator
* split up tests into classes
* revert update agate for int (#8478)
* updated typing and methods to meet mypy standards (#8485)
* Convert error to conditional warning for unversioned contracted model, fix msg format (#8451)
* first pass, tests need updates
* update proto defn
* fixing tests
* more test fixes
* finish fixing test file
* reformat the message
* formatting messages
* changelog
* add event to unit test
* feedback on message structure
* WIP
* fix up event to take in all fields
* fix test
* Fix ambiguous reference error for duplicate model names across packages with tests (#8488)
* Safely remove external nodes from manifest (#8495)
* [CT-2840] Improved semantic layer protocol satisfaction tests (#8456)
* Test `SemanticModel` satisfies protocol when none of it's `Optionals` are specified
* Add tests ensuring SourceFileMetadata and FileSlice satisfiy DSI protocols
* Add test asserting Defaults obj satisfies protocol
* Add test asserting SemanticModel with optionals specified satisfies protocol
* Split dimension protocol satisfaction tests into with and without optionals
* Simplify DSI Protocol import strategy in protocol satisfaction tests
* Add test asserting DimensionValidtyParams satisfies protocol
* Add test asserting DimensionTypeParams satisfies protocol
* Split entity protocol satisfaction tests into with and without optionals
* Split measure protocol satisfication tests and add measure aggregation params satisficaition test
* Split metric protocol satisfaction test into optional specified an unspecified
Additionally, create where_filter pytest fixture
* Improve protocol satisfaction tests for MetricTypeParams and sub protocols
Specifically we added/improved protocol satisfaction tests for
- MetricTypeParams
- MetricInput
- MetricInputMeasure
- MetricTimeWindow
* Convert to using mashumaro jsonschema with acceptable performance (#8437)
* Regenerate run_results schema after merging in changes from main.
---------
Co-authored-by: Gerda Shank <gerda@dbtlabs.com>
Co-authored-by: Matthew McKnight <91097623+McKnight-42@users.noreply.github.com>
Co-authored-by: Github Build Bot <buildbot@fishtownanalytics.com>
Co-authored-by: Quigley Malcolm <QMalcolm@users.noreply.github.com>
Co-authored-by: dave-connors-3 <73915542+dave-connors-3@users.noreply.github.com>
Co-authored-by: Emily Rockman <emily.rockman@dbtlabs.com>
Co-authored-by: Jaime Martínez Rincón <jaime@jamezrin.name>
Co-authored-by: Mike Alfare <13974384+mikealfare@users.noreply.github.com>
Co-authored-by: Michelle Ark <MichelleArk@users.noreply.github.com>
* Test `SemanticModel` satisfies protocol when none of it's `Optionals` are specified
* Add tests ensuring SourceFileMetadata and FileSlice satisfiy DSI protocols
* Add test asserting Defaults obj satisfies protocol
* Add test asserting SemanticModel with optionals specified satisfies protocol
* Split dimension protocol satisfaction tests into with and without optionals
* Simplify DSI Protocol import strategy in protocol satisfaction tests
* Add test asserting DimensionValidtyParams satisfies protocol
* Add test asserting DimensionTypeParams satisfies protocol
* Split entity protocol satisfaction tests into with and without optionals
* Split measure protocol satisfication tests and add measure aggregation params satisficaition test
* Split metric protocol satisfaction test into optional specified an unspecified
Additionally, create where_filter pytest fixture
* Improve protocol satisfaction tests for MetricTypeParams and sub protocols
Specifically we added/improved protocol satisfaction tests for
- MetricTypeParams
- MetricInput
- MetricInputMeasure
- MetricTimeWindow
* first pass, tests need updates
* update proto defn
* fixing tests
* more test fixes
* finish fixing test file
* reformat the message
* formatting messages
* changelog
* add event to unit test
* feedback on message structure
* WIP
* fix up event to take in all fields
* fix test
* add show test for json data
* oh changie my changie
* revert unecessary cahnge to fixture
* keep decimal class for precision methods, but return __int__ value
* jerco updates
* update integer type
* update other tests
* Update .changes/unreleased/Fixes-20230803-093502.yaml
---------
Co-authored-by: Emily Rockman <emily.rockman@dbtlabs.com>
* Update semantic model parsing tests to check measure non_additive_dimension spec
* Make `window_groupings` default to empty list if not specified on `non_additive_dimension`
* Add changie doc for `window_groupings` parsing fix
* first pass
* WIP
* update issue body
* fix triggering label
* fix docs
* add better run name
* reduce complexity
* update description
* fix PR title
* point at workflow on main
* fix wording
* add label
* Update semantic model parsing test to check `create_metric = true` functionality
* Add `create_metric` boolean property to unparsed measure objects
* Begin creating metrics from measures with `create_metric = True`
* Add test ensuring partial parsing handles metrics generated from measures
* Ensure partial parsing appropriately deletes metrics generated from semantic models
* Add changie doc for addition
* Separate generated metrics from parsed metrics for partial parsing
I was doing a demo earlier today of this branch (minus this commit)
and noticed something odd. When I changes a semantic model, metrics
that should have been technically uneffected would get dropped. Basically
if I made a change to a semantic model which had metrics in the same
file, and then ran parse, those metrics defined in the same file
would get dropped. Then with no other changes, if I ran parse again
they would come back. What was happening was that parsed metrics
and generated metrics were getting tracked the same way on the file
objects for partial parsing. In 0787a7c7b67b10a55b0d7727eeb744df831d503c
we began dropping all metrics tracked in a file objects when changes
to semantic models were detected. Since parsed metrics and generated
metrics were being tracked together on the file object, the parsed
metrics were getting dropped as well. In this commit we begin separating
out the tracking of generated metrics and parsed metrics on the
file object, and now only drop the generated metrics when semantic
models have a detected change.
* Assert in test that semantic model partial parsing doesn't clobber regular metrics
* Replaced the FirstRunResultError and AfterFirstRunResultError events with RunResultError.
* Attempts at reasonable unit tests.
* Restore event manager after unit test.
* Support configurable delimiter for seed files, default to comma (#3990)
* Update Features-20230317-144957.yaml
* Moved "delimiter" to seed config instead of node config
* Update core/dbt/clients/agate_helper.py
Co-authored-by: Cor <jczuurmond@protonmail.com>
* Update test_contracts_graph_parsed.py
* fixed integration tests
* Added functional tests for seed files with a unique delimiter
* Added docstrings
* Added a test for an empty string configured delimiter value
* whitespace
* ran black
* updated changie entry
* Update Features-20230317-144957.yaml
---------
Co-authored-by: Cor <jczuurmond@protonmail.com>
* add param to control maxBytes for single dbt.log file
* nits
* nits
* Update core/dbt/cli/params.py
Co-authored-by: Peter Webb <peter.webb@dbtlabs.com>
---------
Co-authored-by: Peter Webb <peter.webb@dbtlabs.com>
* Add test ensuring `warn_error_options` is dictified in `invocation_args_dict` of contexts
* Add dictification specific to `warn_error_options` in `args_to_dict`
* Changie doc for serialization changes of warn_error_options
* Add test asserting that a macro with the work materializtion doesn't cause issues
* Let macro names include the word `materialization`
Previously we were checking if a macro included a materialization
based on if the macro name included the word `materialization`. However,
a macro name included the word `materialization` isn't guarnteed to
actually have a materialization, and a macro that doesn't have
`materialization` in the name isn't guaranteed to not have a materialization.
This change is to detect macros with materializations based on the
detected block type of the macro.
* Add changie doc materialization in macro detection
* Add test for checking that `_connection_exception_retry` handles `EOFError`s
* Update `_connection_exception_retry` to handle `EOFError` exceptions
* Add changie docs for `_connection_exception_retry` handling `EOFError` exceptions
* applied new integration tests to existing framework
* applied new integration tests to existing framework
* generalized tests for reusability in adapters; fixed drop index issue
* generalized tests for reusability in adapters; fixed drop index issue
* removed unnecessary overrides in tests
* adjusted import to allow for usage in adapters
* adjusted import to allow for usage in adapters
* removed fixture artifact
* generalized the materialized view fixture which will need to be specific to the adapter
* unskipped tests in the test runner package
* corrected test condition
* corrected test condition
* added missing initial build for the relation type swap tests
* add env vars for datadog ci visibility
* modify pytest command for tracing
* fix posargs
* move env vars to job that needs them
* add test repeater to DD
* swap flags
* Bump version support for `dbt-semantic-interfaces` to `~=0.1.0rc1`
* Add tests for asserting WhereFilter satisfies protocol
* Add `call_parameter_sets` to `WhereFilter` class to satisfy protocol
* Changie doc for moving to DSI 0.1.0rc1
* [CT-2822] Fix `NonAdditiveDimension` Implementation (#8089)
* Add test to ensure `NonAdditiveDimension` implementation satisfies protocol
* Fix typo in `NonAdditiveDimension`: `window_grouples` -> `window_groupings`
* Add changie doc for typo fix in NonAdditiveDimension
* Add metrics from metric type params to a metric's depends_on
* Add Lookup utility for finding `SemanticModel`s by measure names
* Add the `SemanticModel` of a `Metric`'s measure property to the `Metric`'s `depends_on`
* Add `SemanticModelConfig` to `SemanticModel`
Some tests were failing due to `Metric`'s referencing `SemanticModels`.
Specifically there was a check to see if a referenced node was disabled,
and because `SemanticModel`'s didn't have a `config` holding the `enabled`
boolean attr, core would blow up.
* Checkpoint on test fixing
* Correct metricflow_time_spine_sql in test fixtures
* Add check for `SemanticModel` nodes in `Linker.link_node`
Now that `Metrics` depend on `SemanticModels` and `SemanticModels`
have their own dependencies on `Models` they need to be checked for
in the `Linker.link_node`. I forget the details but things blow up
without it. Basically it adds the SemanticModels to the dependency
graph.
* Fix artifacts/test_previous_version_state.py tests
* fix access/test_access.py tests
* Fix function metric tests
* Fix functional partial_parsing tests
* Add time dimension to semantic model in exposures fixture
* Bump DSI version to a minimum of 0.1.0dev10
DSI 0.1.0dev10 fixes an incoherence issue in DSI around `agg_time_dimension`
setting. This incoherence was that `measure.agg_time_dimension` was being
required, even though it was no longer supposed to be a required attribute
(it's specificially typed as optional in the protocol). This was causing
a handful of tests to fail because the `semantic_model.defaults.agg_time_dimension`
value wasn't being respected. Pulling in the fix from DSI 0.1.0dev10 fixes
the issue.
Interestingly after bumping the DSI version, the integration tests were
still failing. If I ran the tests individually they passed though. To get
`make integration` to run properly I ended up having to clear my `.tox`
cache, as it seems some outdated state was being persisted.
* Add test specifically for checking the `depends_on` of `Metric` nodes
* Re-enable test asserting calling metric nodes in models
* Migrate `checked_agg_time_dimension` to `checked_agg_time_dimension_for_measure`
DSI 0.1.0dev10 moved `checked_agg_time_dimension` from the `Measure`
protocol to the `SemanticModel` protocol as `checked_agg_time_dimension_for_measure`.
This finishes a change where for a given measure either the `Measure.agg_time_dimension`
or the measure's parent `SemanticModel.defaults.agg_time_dimension` needs to be
set, instead of always require the measure's `Measure.agg_time_dimension`.
* Add changie doc for populating metric
---------
Co-authored-by: Gerda Shank <gerda@dbtlabs.com>
The original implementation of validate_sql was called dry_run,
but in the rename the test classes and much of their associated
documentation still retained the old naming.
This is mainly cosmetic, but since these test classes will be
imported into adapter repositories we should fix this now before
the wrong name proliferates.
* Add dry_run method to base adapter with implementation for SQLAdapters
resolves#7839
In the CLI integration, MetricFlow will issue dry run queries as
part of its warehouse-level validation of the semantic manifest,
including all semantic model and metric definitions.
In most cases, issuing an `explain` query is adequate, however,
BigQuery does not support the `explain` keyword and so we cannot
simply pre-pend `explain` to our input queries and expect the
correct behavior across all contexts.
This commit adds a dry_run() method to the BaseAdapter which mirrors
the execute() method in that it simply delegates to the ConnectionManager.
It also adds a working implementation to the SQLConnectionManager and
includes a few test cases for adapter maintainers to try out on their own.
The current implementation should work out of the box with most
of our adapters. BigQuery will require us to implement the dry_run
method on the BigQueryConnectionManager, and community-maintained
adapters can opt in by enabling the test and ensuring their own
implementations work as expected.
Note - we decided to make these concrete methods that throw runtime
exceptions for direct descendants of BaseAdapter in order to avoid
forcing community adapter maintainers to implement a method that does
not currently have any use cases in dbt proper.
* Switch dry_run implementation to be macro-based
The common pattern for engine-specific SQL statement construction
in dbt is to provide a default macro which can then be overridden
on a per-adapter basis by either adapter maintainers or end users.
The advantage of this is users can take advantage of alternative
SQL syntax for performance or other reasons, or even to enable
local usage if an engine relies on a non-standard expression and
the adapter maintainer has not updated the package.
Although there are some risks here they are minimal, and the benefit
of added expressiveness and consistency with other similar constructs
is clear, so we adopt this approach here.
* Improve error message for InvalidConnectionError in test_invalid_dry_run.
* Rename dry_run to validate_sql
The validate_sql name has less chance of colliding with dbt's
command nomenclature, both now and in some future where we have
dry-run operations.
* Rename macro and test files to validate_sql
* Fix changelog entry
* add permissions
* replace db setup
* try with bash instead of just pytest flags
* fix test command
* remove spaces
* remove force-flaky flag
* add starting vlaues
* add mac and windows postgres isntall
* define use bash
* fix typo
* update output report
* tweak last if condition
* clarify failures/successful runs
* print running success and failure tally
* just output pytest instead of capturing it
* set shell to not exit immediately on exit code
* add formatting around results for easier scanning
* more output formatting
* add matrix to unlock parallel runners
* increase to ten batches
* update debug
* add comment
* clean up comments
* Remove `create_metric` as a public facing `SemanticModel.Measure` property
We want to add `create_metric`. The `create_metric` property will be
incredibly useful. However, at this time it is not hooked up, and we don't
have time to hook it up before the code freeze for 1.6.0rc of core. As
it doesn't do anything, we shouldn't allow people to specify it, because
it won't do what one would expect. We plan on making the implementation
of `create_metric` a priority for 1.7 of core
* Changie doc for the removal of create_metric property
* add negative test case
* changie
* missed a comma
* Update changelog entry
* Add a negative number (rather than subtract a positive number)
---------
Co-authored-by: Doug Beatty <44704949+dbeatty10@users.noreply.github.com>
Co-authored-by: Doug Beatty <doug.beatty@dbtlabs.com>
* Fix accidental propagation of log messages to root logger.
* Add changelog entry
* Fixed an issue which blocked debug logging to stdout with --log-level debug, unless --debug was also used.
* Use dbt-semantic-interface validations on semantic models and metrics defined in Core.
* Remove empty test, since semantic models don't generate any validation warnings.
* Add changelog entry.
* Temporarily remove requirement that there must be semantic models definied in order to define metrics
* add interface changes section to the PR template
* update entire template
* split up choices for tests and interfaces
* minor formatting change
* add line breaks
* actually put in line breaks
* revert split choices in checklist
* add line breaks to top
* move docs link
* typo
* ct-2551: adds old and unmodified state selection methods
* ct-2551: update check_unmodified_content to simplify
* add unit and integration tests for unmodified and old
* add changelog entry
* ct-2551: reformatting of contingent adapter assignment list
* UnifiedToUTC
* Check proximity of dbt_valid_to and deleted time
* update the message to print if the assertion fails
* add CHANGELOG entries
* test only if naive
* Added comments about naive and aware
* Generalize comparison of datetimes that are "close enough"
---------
Co-authored-by: Doug Beatty <doug.beatty@dbtlabs.com>
* Fix tests fixtures which were using measures for metric numerator/denominators
In our previous upgrade to DSI dev7, numerators and denominators for
metrics switched from being `MetricInputMeasure`s to `MetricInput`s.
I.e. metric numerators and denominators should references other metrics,
not semantic model measures. However, at that time, we weren't actually
doing anything with numerators and denominators in core, so no issue
got raised. The changes we are about to make though are going to surface
these issues..
* Add tests for ensuring a metric's `input_measures` gets properly populated
* Begin populating `metric.type_params.input_measures`
This isn't my favorite bit of code. Mostly because there are checks for
existence which really should be handled before this point, however a
good point for that to happen doesn't exist currently. For instance,
in an ideal world by the time we get to `_process_metric_node`, if a
metric is of type `RATIO` and the nominator and denominator should be
guaranteed.
* Update test checking that disabled metrics aren't added to the manifest metrics
We updated from the metric `number_of_people` to `average_tenure_minus_people` for
this test because disabling `number_of_people` raised other exceptions at parse
time due to a metric referencing a disabled metric. The metric `average_tenure_minus_people`
is a leaf metric, and so for this test, it is a better candidate.
* Update `test_disabled_metric_ref_model` to have more disabled metrics
There are metrics which depend on the metric `number_of_people`. If
`number_of_people` is disabled without the metrics that depend on it
being disabled, then a different (expected) exception would be raised
than the one this test is testing for. Thus we've disabled those
downstream metrics.
* Add test which checks that metrics depending on disabled metrics raise an exception
* Add changie doc for populating metric input measures
* Add merge incremental strategy
* Expect merge to be a valid strategy for Postgres
---------
Co-authored-by: Anders Swanson <anders.swanson@dbtlabs.com>
Co-authored-by: Doug Beatty <doug.beatty@dbtlabs.com>
* CT-2711: Add remove_tests() call to delete_schema_source() so that call sites are more uniform with other node deletion call sites. This will enable further code factorization.
* CT-2711: Factor repeated code section (mostly) out of PartialParsing.handle_schema_file_changes()
* CT-2711: Factor a repeated code section out of schedule_nodes_for_parsing()
* Update semantic model parsing test to check measure agg params
* Make `use_discrete_percentile` and `use_approximate_percentile` non optional and default false
This was a mistake in our implementation of the MeasureAggregationParams.
We had defined them as optional and defaulting to `None`. However, as the
protocol states, they cannot be `None`, they must be a boolean value.
Thus now we now ensure them.
* Add changie doc for measure percentile fixes
* Update semantic model parsing test to check different measure expr types
* Allow semantic model measure exprs to be defined with ints and bools in yaml
Sometimes the expr for a measure can defined in yaml with a bool or an int.
However, we were only allowing for strings. There was a work around for this,
which was wrapping your bool or int in double quotes in the yaml, but
this can be fairly annoying for the end user.
* Changie doc for fixing measure expr yaml specification
2023-06-23 10:34:11 -07:00
493 changed files with 18364 additions and 6275 deletions
- Add --target-path to dbt snapshot command. ([#7418](https://github.com/dbt-labs/dbt-core/issues/7418))
- dbt build selection of tests' descendants ([#7289](https://github.com/dbt-labs/dbt-core/issues/7289))
- fix groupable node partial parsing, raise DbtReferenceError at runtime for safety ([#7437](https://github.com/dbt-labs/dbt-core/issues/7437))
- Fix partial parsing of latest_version changes for downstream references ([#7369](https://github.com/dbt-labs/dbt-core/issues/7369))
- Use "add_node" to update depends_on.nodes ([#7453](https://github.com/dbt-labs/dbt-core/issues/7453))
- Fix var precedence in configs: root vars override package vars ([#6705](https://github.com/dbt-labs/dbt-core/issues/6705))
- Fix inverted `--print/--no-print` flag ([#7517](https://github.com/dbt-labs/dbt-core/issues/7517))
- Back-compat for previous return type of 'collect_freshness' macro ([#7489](https://github.com/dbt-labs/dbt-core/issues/7489))
- print model version in dbt show if specified ([#7407](https://github.com/dbt-labs/dbt-core/issues/7407))
- enable dbt show for seeds ([#7273](https://github.com/dbt-labs/dbt-core/issues/7273))
- push down limit filtering to adapter ([#7390](https://github.com/dbt-labs/dbt-core/issues/7390))
- Allow missing `profiles.yml` for `dbt deps` and `dbt init` ([#7511](https://github.com/dbt-labs/dbt-core/issues/7511))
-`run_results.json` is now written after every node completes. ([#7302](https://github.com/dbt-labs/dbt-core/issues/7302))
- Do not rewrite manifest.json during 'docs serve' command ([#7553](https://github.com/dbt-labs/dbt-core/issues/7553))
- Pin protobuf to greater than 4.0.0 ([#7565](https://github.com/dbt-labs/dbt-core/issues/7565))
- inject sql header in query for show ([#7413](https://github.com/dbt-labs/dbt-core/issues/7413))
- Pin urllib3 to ~=1.0 ([#7573](https://github.com/dbt-labs/dbt-core/issues/7573))
- Throw error for duplicated versioned and unversioned models ([#7487](https://github.com/dbt-labs/dbt-core/issues/7487))
### Under the Hood
- Update docs link in ContractBreakingChangeError message ([#7366](https://github.com/dbt-labs/dbt-core/issues/7366))
- Reduce memory footprint of cached statement results. ([#7281](https://github.com/dbt-labs/dbt-core/issues/7281))
- Remove noisy parsing events: GenericTestFileParse, MacroFileParse, Note events for static model parsing ([#6671](https://github.com/dbt-labs/dbt-core/issues/6671))
- Update --help text for cache-related parameters ([#7381](https://github.com/dbt-labs/dbt-core/issues/7381))
- Small UX improvements to model versions: Support defining latest_version in unsuffixed file by default. Notify on unpinned ref when a prerelease version is available. ([#7443](https://github.com/dbt-labs/dbt-core/issues/7443))
- Added warnings for model and ref deprecations ([#7433](https://github.com/dbt-labs/dbt-core/issues/7433))
- Update drop_relation macro to allow for configuration of drop statement separately from object name ([#7625](https://github.com/dbt-labs/dbt-core/issues/7625))
- accept publications in dbt.invoke ([#7372](https://github.com/dbt-labs/dbt-core/issues/7372))
### Fixes
- Honor `--skip-profile-setup` parameter when inside an existing project ([#7594](https://github.com/dbt-labs/dbt-core/issues/7594))
- Fix: Relative project paths weren't working with deps ([#7491](https://github.com/dbt-labs/dbt-core/issues/7491))
- Exclude password fields from Jinja rendering. ([#7629](https://github.com/dbt-labs/dbt-core/issues/7629))
- Add --target-path to more CLI subcommands ([#7646](https://github.com/dbt-labs/dbt-core/issues/7646))
- Stringify flag paths for Jinja context ([#7495](https://github.com/dbt-labs/dbt-core/issues/7495))
- write run_results.json for run operation ([#7502](https://github.com/dbt-labs/dbt-core/issues/7502))
### Under the Hood
- Add ability to instantiate Flags class from dict ([#7607](https://github.com/dbt-labs/dbt-core/issues/7607))
- Add other relation to reffable nodes ([#7550](https://github.com/dbt-labs/dbt-core/issues/7550))
- Move node patch method to schema parser patch_node_properties and refactor schema parsing ([#7430](https://github.com/dbt-labs/dbt-core/issues/7430))
- Dropped support for Python 3.7 ([#7082](https://github.com/dbt-labs/dbt-core/issues/7082))
- Switch from dbt-metrics to dbt-semantic-interfaces for MetricNode definitions ([#7500](https://github.com/dbt-labs/dbt-core/issues/7500), [#7404](https://github.com/dbt-labs/dbt-core/issues/7404))
### Features
- Add support for materialized views ([#6911](https://github.com/dbt-labs/dbt-core/issues/6911))
- Optimize template rendering for common parse scenarios ([#7449](https://github.com/dbt-labs/dbt-core/issues/7449))
- nodes in packages respect custom generate_alias_name, generate_schema_name, generate_database_name macro overrides defined in packages ([#7444](https://github.com/dbt-labs/dbt-core/issues/7444))
- Enable state for deferral to be separate from state for selectors ([#7300](https://github.com/dbt-labs/dbt-core/issues/7300))
- Validate public models are not materialized as ephemeral ([#7226](https://github.com/dbt-labs/dbt-core/issues/7226))
- Added support for parsing and serializaing semantic models ([#7499](https://github.com/dbt-labs/dbt-core/issues/7499), [#7503](https://github.com/dbt-labs/dbt-core/issues/7503))
### Fixes
- Constraint rendering fixes: wrap check expression in parentheses, foreign key 'references', support expression in all constraint types ([#7417](https://github.com/dbt-labs/dbt-core/issues/7417), [#7480](https://github.com/dbt-labs/dbt-core/issues/7480), [#7416](https://github.com/dbt-labs/dbt-core/issues/7416))
- Fix warning messages for deprecated dbt_project.yml configs ([#7424](https://github.com/dbt-labs/dbt-core/issues/7424))
- Add `%` to adapter suite test cases for `persist_docs` ([#7698](https://github.com/dbt-labs/dbt-core/issues/7698))
- Improve warnings for constraints and materialization types ([#7335](https://github.com/dbt-labs/dbt-core/issues/7335))
- Incorrect paths used for "target" and "state" directories ([#7465](https://github.com/dbt-labs/dbt-core/issues/7465))
- fix StopIteration error when publication for project not found ([#7711](https://github.com/dbt-labs/dbt-core/issues/7711))
- Using version 0 works when resolving single model ([#7372](https://github.com/dbt-labs/dbt-core/issues/7372))
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