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feat: add api_method parameter to Client.query to select INSERT or QUERY API #967

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merged 25 commits into from Dec 2, 2021

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@tswast tswast commented Sep 13, 2021

This PR is the first step in enabling the "fast query path". At the moment, selecting api_method="QUERY" is actually likely to be slower because it fetches the first page of results and discards them. A PR will follow-up to cache this first page for use by the row iterator.

This commit only refactors to allow jobs.insert to be selected.
Supporting jobs.query will require more transformations to QueryJobConfig,
QueryJob, and RowIterator.

Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:

  • Make sure to open an issue as a bug/issue before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea
  • Ensure the tests and linter pass
  • Code coverage does not decrease (if any source code was changed)
  • Appropriate docs were updated (if necessary)

Towards #589 🦕

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@product-auto-label product-auto-label bot added the api: bigquery Issues related to the googleapis/python-bigquery API. label Sep 13, 2021
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tswast commented Sep 17, 2021

Even though this isn't a breaking change, it refactors enough that maybe this should target v3 so as not to delay v3 any longer.

@tswast tswast changed the base branch from main to v3 October 5, 2021 15:41
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@tswast tswast changed the title feat: add api_method parameter to Client.query to select insert or query API feat: add api_method parameter to Client.query to select INSERT or QUERY API Oct 6, 2021
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… or `query` API

Work in Progress. This commit only refactors to allow jobs.insert to be selected.
Supporting jobs.query will require more transformations to QueryJobConfig,
QueryJob, and RowIterator.
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@tswast tswast marked this pull request as ready for review November 18, 2021 23:05
@tswast tswast requested a review from a team November 18, 2021 23:05
@tswast tswast requested a review from a team as a code owner November 18, 2021 23:05
@tswast tswast requested a review from loferris November 18, 2021 23:05
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tswast commented Nov 18, 2021

I've just synced to the latest v3 branch. Unit tests and query system tests are passing. I think this is ready for review.

Note: This won't actually result in any performance improvements until the # TODO: https://github.com/googleapis/python-bigquery/issues/589 in _job_helpers.py is resolved. Since that requires more hacks to the QueryJob class, I figure that's worth postponing to a separate PR. As-is, this PR should be showing the same behavior for api_method="INSERT" and api_method="QUERY" options.

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@tswast tswast requested a review from plamut November 19, 2021 16:25
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Looks really promising and structured, mostly just minor remarks and questions.

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@tswast tswast requested a review from plamut November 22, 2021 16:54
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LGTM.

There's one nit, but decide for yourself if it's worth updating the PR.

@@ -3215,6 +3219,11 @@ def query(
called on the job returned. The ``job_retry``
specified here becomes the default ``job_retry`` for
``result()``, where it can also be specified.
api_method (Union[str, enums.QueryApiMethod]):
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(nit) Duplicate annotation info

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LGTM

@tswast tswast merged commit 3b3ebff into googleapis:v3 Dec 2, 2021
@tswast tswast deleted the issue589-queries-endpoint branch December 2, 2021 20:15
tswast added a commit that referenced this pull request Mar 29, 2022
deps!: BigQuery Storage and pyarrow are required dependencies (#776)

fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (#786) 

feat!: destination tables are no-longer removed by `create_job` (#891)

feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (#972)

fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (#972)

feat!: mark the package as type-checked (#1058)

feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061)

feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (#967)

fix: improve type annotations for mypy validation (#1081)

feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (#1117)

docs: Add migration guide from version 2.x to 3.x (#1027)

Release-As: 3.0.0
waltaskew pushed a commit to waltaskew/python-bigquery that referenced this pull request Jul 20, 2022
deps!: BigQuery Storage and pyarrow are required dependencies (googleapis#776)

fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (googleapis#786) 

feat!: destination tables are no-longer removed by `create_job` (googleapis#891)

feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (googleapis#972)

fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (googleapis#972)

feat!: mark the package as type-checked (googleapis#1058)

feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (googleapis#1061)

feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (googleapis#967)

fix: improve type annotations for mypy validation (googleapis#1081)

feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (googleapis#1117)

docs: Add migration guide from version 2.x to 3.x (googleapis#1027)

Release-As: 3.0.0
abdelmegahedgoogle pushed a commit to abdelmegahedgoogle/python-bigquery that referenced this pull request Apr 17, 2023
…1014)

Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly:
- [ ] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-bigquery/issues/new/choose) before writing your code!  That way we can discuss the change, evaluate designs, and agree on the general idea
- [ ] Ensure the tests and linter pass
- [ ] Code coverage does not decrease (if any source code was changed)
- [ ] Appropriate docs were updated (if necessary)

Issue discovered while investigating what properties are needed in googleapis#967
abdelmegahedgoogle pushed a commit to abdelmegahedgoogle/python-bigquery that referenced this pull request Apr 17, 2023
deps!: BigQuery Storage and pyarrow are required dependencies (googleapis#776)

fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (googleapis#786) 

feat!: destination tables are no-longer removed by `create_job` (googleapis#891)

feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (googleapis#972)

fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (googleapis#972)

feat!: mark the package as type-checked (googleapis#1058)

feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (googleapis#1061)

feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (googleapis#967)

fix: improve type annotations for mypy validation (googleapis#1081)

feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (googleapis#1117)

docs: Add migration guide from version 2.x to 3.x (googleapis#1027)

Release-As: 3.0.0
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Provide support for synchronous queries through the v2/projects/{projectId}/queries endpoint
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