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base repository: googleapis/python-bigquery
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base: v3.0.0
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head repository: googleapis/python-bigquery
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compare: v3.0.1
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  • 9 commits
  • 16 files changed
  • 6 contributors

Commits on Mar 30, 2022

  1. chore: add branch protection rules for v2 (#1181)

    @tswast
    tswast authored Mar 30, 2022
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  2. chore(deps): update all dependencies (#1164) 

    * chore(deps): update all dependencies

* revert

* revert

* revert

* revert

* revert

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

Co-authored-by: Anthonios Partheniou <partheniou@google.com>
Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
    @renovate-bot @parthea @gcf-owl-bot
    3 people authored Mar 30, 2022
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  3. chore(deps): update all dependencies (#1183) 

    * chore(deps): update all dependencies

* revert environment specific pins

* fix typo

* revert environment specific pins

* revert environment specific pins

Co-authored-by: Anthonios Partheniou <partheniou@google.com>
    @renovate-bot @parthea
    renovate-bot and parthea authored Mar 30, 2022
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  4. chore: use === in requirements.txt for environment specific pins (#1184) 

    * chore(deps): update all dependencies

* chore(deps): use === in requirements.txt for environment specific pins

Co-authored-by: Anthonios Partheniou <partheniou@google.com>
    @renovate-bot @parthea
    renovate-bot and parthea authored Mar 30, 2022
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  5. fix(deps): restore dependency on python-dateutil (#1187) 

    * fix(deps): restore dependency on python-dateutil

* fix(deps): remove redundante proto-plus

Co-authored-by: Tim Swast <swast@google.com>
    @parthea @tswast
    parthea and tswast authored Mar 30, 2022
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  6. chore(deps): update all dependencies (#1185) 

    * chore(deps): update all dependencies

* chore: revert version bump for environment specific pins

Co-authored-by: Anthonios Partheniou <partheniou@google.com>
    @renovate-bot @parthea
    renovate-bot and parthea authored Mar 30, 2022
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  7. chore(python): add E231 to .flake8 ignore list (#1190) 

    Source-Link: googleapis/synthtool@7ff4aad
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  8. fix(deps): raise exception when pandas is installed but db-dtypes is … 

    …not (#1191)

`db-dtypes` is already present in the `pandas` "extras", but this PR ensures that if pandas is present and db-dtypes is not, a more understandable error message is raised.

```
google/cloud/bigquery/_pandas_helpers.py:991: ValueError
____________________________________ test_list_rows_nullable_scalars_extreme_dtypes[10] _____________________________________

    # Copyright 2019 Google LLC
    #
    # Licensed under the Apache License, Version 2.0 (the "License");
    # you may not use this file except in compliance with the License.
    # You may obtain a copy of the License at
    #
    #     http://www.apache.org/licenses/LICENSE-2.0
    #
    # Unless required by applicable law or agreed to in writing, software
    # distributed under the License is distributed on an "AS IS" BASIS,
    # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    # See the License for the specific language governing permissions and
    # limitations under the License.
    
    """Shared helper functions for connecting BigQuery and pandas."""
    
    import concurrent.futures
    from datetime import datetime
    import functools
    from itertools import islice
    import logging
    import queue
    import warnings
    
    try:
        import pandas  # type: ignore
    
        pandas_import_exception = None
    except ImportError as exc:  # pragma: NO COVER
        pandas = None
        pandas_import_exception = exc
    else:
        import numpy
    
    try:
>       import db_dtypes  # type: ignore
E       ModuleNotFoundError: No module named 'db_dtypes'

google/cloud/bigquery/_pandas_helpers.py:36: ModuleNotFoundError

The above exception was the direct cause of the following exception:

bigquery_client = <google.cloud.bigquery.client.Client object at 0x11e2d3580>
scalars_extreme_table = 'swast-scratch.python_bigquery_tests_system_20220330160830_ffff89.scalars_extreme_jsonl0x3ffeb'
max_results = 10

    @pytest.mark.parametrize(
        ("max_results",),
        (
            (None,),
            (10,),
        ),  # Use BQ Storage API.  # Use REST API.
    )
    def test_list_rows_nullable_scalars_extreme_dtypes(
        bigquery_client, scalars_extreme_table, max_results
    ):
        # TODO(GH#836): Avoid INTERVAL columns until they are supported by the
        # BigQuery Storage API and pyarrow.
        schema = [
            bigquery.SchemaField("bool_col", enums.SqlTypeNames.BOOLEAN),
            bigquery.SchemaField("bignumeric_col", enums.SqlTypeNames.BIGNUMERIC),
            bigquery.SchemaField("bytes_col", enums.SqlTypeNames.BYTES),
            bigquery.SchemaField("date_col", enums.SqlTypeNames.DATE),
            bigquery.SchemaField("datetime_col", enums.SqlTypeNames.DATETIME),
            bigquery.SchemaField("float64_col", enums.SqlTypeNames.FLOAT64),
            bigquery.SchemaField("geography_col", enums.SqlTypeNames.GEOGRAPHY),
            bigquery.SchemaField("int64_col", enums.SqlTypeNames.INT64),
            bigquery.SchemaField("numeric_col", enums.SqlTypeNames.NUMERIC),
            bigquery.SchemaField("string_col", enums.SqlTypeNames.STRING),
            bigquery.SchemaField("time_col", enums.SqlTypeNames.TIME),
            bigquery.SchemaField("timestamp_col", enums.SqlTypeNames.TIMESTAMP),
        ]
    
        df = bigquery_client.list_rows(
            scalars_extreme_table,
            max_results=max_results,
            selected_fields=schema,
>       ).to_dataframe()

tests/system/test_pandas.py:1084: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
google/cloud/bigquery/table.py:1925: in to_dataframe
    _pandas_helpers.verify_pandas_imports()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

    def verify_pandas_imports():
        if pandas is None:
            raise ValueError(_NO_PANDAS_ERROR) from pandas_import_exception
        if db_dtypes is None:
>           raise ValueError(_NO_DB_TYPES_ERROR) from db_dtypes_import_exception
E           ValueError: Please install the 'db-dtypes' package to use this function.

google/cloud/bigquery/_pandas_helpers.py:991: ValueError
```

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)

Fixes #1188  🦕
    @tswast
    tswast authored Mar 30, 2022
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  9. chore(main): release 3.0.1 (#1189) 

    🤖 I have created a release *beep* *boop*
---


### [3.0.1](v3.0.0...v3.0.1) (2022-03-30)


### Bug Fixes

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

---
This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).
    @release-please
    release-please[bot] authored Mar 30, 2022
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