google-cloud-bigquery breaking changes

mark the package as type-checked (#1058)

BigQuery Storage and pyarrow are required dependencies (#776)

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)

remove out-of-date BigQuery ML protocol buffers (#1178)

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

Update protoc-generated comments (via synth). ([#270](https://github.com/googleapis/python-bigquery/pull/270))

Add CI secrets manager (via synth). ([#271](https://github.com/googleapis/python-bigquery/pull/271))

Transition the library to microgenerator. ([#278](https://github.com/googleapis/python-bigquery/pull/278))

`Client.list_datasets` returns an iterator of `DatasetListItem`. The API

`Client.list_tables` returns an iterators of `TableListItem`. The API

Add `Table.reference` and `Dataset.reference` properties to get the

Add `to_dataframe()` method to row iterators. When Pandas is installed this

Iterate over a `QueryJob` to wait for and get the query results.

Add `Row.keys()`, `Row.items()`, and `Row.get()`. This makes `Row` act

Add `Client.list_tables`, deprecate `Client.list_dataset_tables`.

Add `Client.insert_rows()` and `Client.insert_rows_json()`, deprecate

Remove `QueryJob.query_results()`. Use `QueryJob.result()` instead.

Remove `Client.query_rows()`. Use `Client.query()` instead.

Parse array parameters that contain a struct type. (#4040)

Parse timestamps in query parameters using canonical format (#3945)

Add `QueryJob.undeclared_query_parameters` property. (#3802)

Populate timeout parameter correctly for queries (#4209)

Query and view operations default to the standard SQL dialect. (#4192)

Add `Table.streaming_buffer` property (#4161)

Client functions related to

Automatically retry idempotent RPCs (#4148, #4178)

Support Sub Second Datetimes in row data (#3901, #3915, #3926), h/t @page1

Support external table configuration (#4182) in query jobs (#4191) and

New `Row` class allows for access by integer index like a tuple, string

Add option for job ID generation with user-supplied prefix (#4198)

Add support for update of dataset access entries (#4197)

Add support for atomic read-modify-write of a dataset using etag (#4052)

Add support for labels to `Dataset` (#4026)

Add support for labels to `Table` (#4207)

Add `TableReference` class (#3942)

Add `DatasetReference` class (#3938, #3942, #3993)

Add `ExtractJob.destination_uri_file_counts` property. (#3803)

Add `client.create_rows_json()` to bypass conversions on streaming writes.

Add `client.get_job()` to get arbitrary jobs. (#3804, #4213)

Add filter to `client.list_datasets()` (#4205)

Add `QueryJob.referenced_tables` property. (#3801)

Add new scalar statistics properties to `QueryJob` (#3800)

Functions to create, get, update, delete datasets and tables moved to the

Adding `google.cloud.bigquery.dbapi` package, which implements PEP-249

`job_name` argument added to `Table.upload_from_file` for setting the job

Updating `author_email` in `setup.py` to `[email protected]`.

Adding `is_nullable` property on `SchemaField`. Can be used to check if a

Adding `Table.view_use_legacy_sql` property. Can be used to create views

`SchemaField` is now immutable. It is also hashable so that it can be used

Updating to `google-cloud-core ~= 0.26`, in particular, the underlying HTTP

Adding dependency on `google-resumable-media` for loading BigQuery tables

Fix inclusion of `tests` (vs. `unit_tests`) in `MANIFEST.in` (#3552)

Using the `requests` transport attached to a Client for for resumable media

Adding `autodetect` property on `LoadTableFromStorageJob` to enable schema

Implementing the Python Futures interface for Jobs. Call `job.result()` to

Removing `results()` method from the `QueryJob` class. Use