Bump google-cloud-bigquery from 2.34.2 to 3.1.0 in /requirements

[dependabot]

Bumps google-cloud-bigquery from 2.34.2 to 3.1.0.

Release notes

Sourced from google-cloud-bigquery's releases.

v3.1.0

3.1.0 (2022-05-09)

Features

• add str method to table (#1199) (8da4fa9)
• refactor AccessEntry to use _properties pattern (#1125) (acd5612)
• support using BIGQUERY_EMULATOR_HOST environment variable (#1222) (39294b4)

Bug Fixes

• deps: allow pyarrow v8 (#1245) (d258690)
• export bigquery.HivePartitioningOptions (#1217) (8eb757b)
• Skip geography_as_object conversion for REPEATED fields (#1220) (4d3d6ec)

Documentation

• updated variable typo in comment in code sample (#1239) (e420112)

v3.0.1

3.0.1 (2022-03-30)

Bug Fixes

• deps: raise exception when pandas is installed but db-dtypes is not (#1191) (4333910)
• deps: restore dependency on python-dateutil (#1187) (212d7ec)

v3.0.0

3.0.0 (2022-03-29)

⚠ BREAKING CHANGES

• BigQuery Storage and pyarrow are required dependencies (#776)
• use nullable Int64 and boolean dtypes in to_dataframe (#786)
• destination tables are no-longer removed by create_job (#891)
• In to_dataframe, use dbdate and dbtime dtypes from db-dtypes package for BigQuery DATE and TIME columns (#972)
• automatically convert out-of-bounds dates in to_dataframe, remove date_as_object argument (#972)
• mark the package as type-checked (#1058)
• default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061)
• remove out-of-date BigQuery ML protocol buffers (#1178)

Features

• add api_method parameter to Client.query to select INSERT or QUERY API (#967) (76d88fb)
• default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061) (76d88fb)

... (truncated)

Changelog

Sourced from google-cloud-bigquery's changelog.

3.1.0 (2022-05-09)

Features

• add str method to table (#1199) (8da4fa9)
• refactor AccessEntry to use _properties pattern (#1125) (acd5612)
• support using BIGQUERY_EMULATOR_HOST environment variable (#1222) (39294b4)

Bug Fixes

• deps: allow pyarrow v8 (#1245) (d258690)
• export bigquery.HivePartitioningOptions (#1217) (8eb757b)
• Skip geography_as_object conversion for REPEATED fields (#1220) (4d3d6ec)

Documentation

• updated variable typo in comment in code sample (#1239) (e420112)

3.0.1 (2022-03-30)

Bug Fixes

• deps: raise exception when pandas is installed but db-dtypes is not (#1191) (4333910)
• deps: restore dependency on python-dateutil (#1187) (212d7ec)

3.0.0 (2022-03-29)

⚠ BREAKING CHANGES

• BigQuery Storage and pyarrow are required dependencies (#776)
• use nullable Int64 and boolean dtypes in to_dataframe (#786)
• destination tables are no-longer removed by create_job (#891)
• In to_dataframe, use dbdate and dbtime dtypes from db-dtypes package for BigQuery DATE and TIME columns (#972)
• automatically convert out-of-bounds dates in to_dataframe, remove date_as_object argument (#972)
• mark the package as type-checked (#1058)
• default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061)
• remove out-of-date BigQuery ML protocol buffers (#1178)

Features

• add api_method parameter to Client.query to select INSERT or QUERY API (#967) (76d88fb)
• default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061) (76d88fb)
• destination tables are no-longer removed by create_job (#891) (76d88fb)
• In to_dataframe, use dbdate and dbtime dtypes from db-dtypes package for BigQuery DATE and TIME columns (#972) (76d88fb)
• mark the package as type-checked (#1058) (76d88fb)

... (truncated)

Commits

• dccf28e chore(main): release 3.1.0 (#1207)
• d258690 fix(deps): allow pyarrow v8 (#1245)
• 66500b4 chore(python): auto approve template changes (#1242)
• e420112 docs: updated variable typo in comment in code sample (#1239)
• 01f20ea chore: [autoapprove] update readme_gen.py to include autoescape True (#1240)
• a25dbe4 chore(deps): update all dependencies (#1238)
• 99332f9 chore(deps): update dependency matplotlib to v3.5.2 (#1237)
• 0a48479 chore(deps): update dependency google-api-core to v2.7.3 (#1236)
• 03e9391 chore(deps): update dependency ipython to v8.3.0 (#1234)
• 88345b8 chore(deps): update dependency click to v8.1.3 (#1233)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[diox]

@dependabot rebase

[diox]

src/olympia/stats/tests/test_utils.py:5: in <module>
    from google.cloud import bigquery
../.pyenv/versions/3.9.12/lib/python3.9/site-packages/google/cloud/bigquery/__init__.py:35: in <module>
    from google.cloud.bigquery.client import Client
../.pyenv/versions/3.9.12/lib/python3.9/site-packages/google/cloud/bigquery/client.py:59: in <module>
    from google.cloud.bigquery_storage_v1.services.big_query_read.client import (
E   ModuleNotFoundError: No module named 'google.cloud.bigquery_storage_v1'

[diox]

Likely missing bff3c8c

[diox]

So, it turns out google-cloud-bigquery 3.x requires pyarrow now, which itself depends on numpy, hence the failing build as I had not added that. This is not ideal, we don't really want to pull in such a large & complex dependency, especially considering we only need bigquery to make a couple simple queries for stats.

Let's stay on 2.x for now and see if this gets solved, this has been reported in googleapis/python-bigquery#1196 already.

[dependabot]

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.