PyPI History

This is the release candidate for v1.0.0.

• Add delete_contents to delete_dataset. (#4724)

• Add handling of missing properties in SchemaField.from_api_repr(). (#4754)
• Fix missing return value in LoadJobConfig.from_api_repr. (#4727)

• Minor documentation and typo fixes. (#4782, #4718, #4784, #4835, #4836)

• Add to_dataframe() method to row iterators. When Pandas is installed this method returns a DataFrame containing the query's or table's rows. (#4354)
• Iterate over a QueryJob to wait for and get the query results. (#4350)
• Add Table.reference and Dataset.reference properties to get the TableReference or DatasetReference corresponding to that Table or Dataset, respectively. (#4405)
• Add Row.keys(), Row.items(), and Row.get(). This makes Row act more like a built-in dictionary. (#4393, #4413)

• Add Client.insert_rows() and Client.insert_rows_json(), deprecate Client.create_rows() and Client.create_rows_json(). (#4657)
• Add Client.list_tables, deprecate Client.list_dataset_tables. (#4653)
• Client.list_tables returns an iterators of TableListItem. The API only returns a subset of properties of a table when listing. (#4427)
• Remove QueryJob.query_results(). Use QueryJob.result() instead. (#4652)
• Remove Client.query_rows(). Use Client.query() instead. (#4429)
• Client.list_datasets returns an iterator of DatasetListItem. The API only returns a subset of properties of a dataset when listing. (#4439)

0.28.0 significantly changes the interface for this package. For examples of the differences between 0.28.0 and previous versions, see Migrating to the BigQuery Python client library 0.28. These changes can be summarized as follows:

• Query and view operations default to the standard SQL dialect. (#4192)
• Client functions related to jobs, like running queries, immediately start the job.
• Functions to create, get, update, delete datasets and tables moved to the client class.

• Populate timeout parameter correctly for queries (#4209)
• Automatically retry idempotent RPCs (#4148, #4178)
• Parse timestamps in query parameters using canonical format (#3945)
• Parse array parameters that contain a struct type. (#4040)
• Support Sub Second Datetimes in row data (#3901, #3915, #3926), h/t @page1

• Support external table configuration (#4182) in query jobs (#4191) and tables (#4193).
• New Row class allows for access by integer index like a tuple, string index like a dictionary, or attribute access like an object. (#4149)
• 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 Table.streaming_buffer property (#4161)
• 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. (#4189)
• Add client.get_job() to get arbitrary jobs. (#3804, #4213)
• Add filter to client.list_datasets() (#4205)
• Add QueryJob.undeclared_query_parameters property. (#3802)
• Add QueryJob.referenced_tables property. (#3801)
• Add new scalar statistics properties to QueryJob (#3800)
• Add QueryJob.query_plan property. (#3799)

• Remove client.run_async_query(), use client.query() instead. (#4130)
• Remove client.run_sync_query(), use client.query_rows() instead. (#4065, #4248)
• Make QueryResults read-only. (#4094, #4144)
• Make get_query_results private. Return rows for QueryJob.result() (#3883)
• Move *QueryParameter and UDFResource classes to query module (also exposed in bigquery module). (#4156)

• Remove client from Table class (#4159)
• Remove table.exists() (#4145)
• Move table.list_parations to client.list_partitions (#4146)
• Move table.upload_from_file to client.load_table_from_file (#4136)
• Move table.update() and table.patch() to client.update_table() (#4076)
• Move table.insert_data() to client.create_rows(). Automatically generates row IDs if not supplied. (#4151, #4173)
• Move table.fetch_data() to client.list_rows() (#4119, #4143)
• Move table.delete() to client.delete_table() (#4066)
• Move table.create() to client.create_table() (#4038, #4043)
• Move table.reload() to client.get_table() (#4004)
• Rename Table.name attribute to Table.table_id (#3959)
• Table constructor takes a TableReference as parameter (#3997)

• Remove client from Dataset class (#4018)
• Remove dataset.exists() (#3996)
• Move dataset.list_tables() to client.list_dataset_tables() (#4013)
• Move dataset.delete() to client.delete_dataset() (#4012)
• Move dataset.patch() and dataset.update() to client.update_dataset() (#4003)
• Move dataset.create() to client.create_dataset() (#3982)
• Move dataset.reload() to client.get_dataset() (#3973)
• Rename Dataset.name attribute to Dataset.dataset_id (#3955)
• client.dataset() returns a DatasetReference instead of Dataset. (#3944)
• Rename class: dataset.AccessGrant -> dataset.AccessEntry. (#3798)
• dataset.table() returns a TableReference instead of a Table (#4014)
• Dataset constructor takes a DatasetReference (#4036)

• Make job.begin() method private. (#4242)
• Add LoadJobConfig class and modify LoadJob (#4103, #4137)
• Add CopyJobConfig class and modify CopyJob (#4051, #4059)
• Type of Job's and Query's default_dataset changed from Dataset to DatasetReference (#4037)
• Rename client.load_table_from_storage() to client.load_table_from_uri() (#4235)
• Rename client.extract_table_to_storage to client.extract_table(). Method starts the extract job immediately. (#3991, #4177)
• Rename XJob.name to XJob.job_id. (#3962)
• Rename job classes. LoadTableFromStorageJob -> LoadJob and ExtractTableToStorageJob -> jobs.ExtractJob (#3797)

• Updating to google-cloud-core ~= 0.28, in particular, the google-api-core package has been moved out of google-cloud-core. (#4221)

PyPI: https://pypi.org/project/google-cloud-bigquery/0.28.0/

• Remove client-side enum validation. (#3735)
• Add Table.row_from_mapping helper. (#3425)
• Move google.cloud.future to google.api.core (#3764)
• Fix __eq__ and __ne__. (#3765)
• Move google.cloud.iterator to google.api.core.page_iterator (#3770)
• nullMarker support for BigQuery Load Jobs (#3777), h/t @leondealmeida
• Allow job_id to be explicitly specified in DB-API. (#3779)
• Add support for a custom null marker. (#3776)
• Add SchemaField serialization and deserialization. (#3786)
• Add get_query_results method to the client. (#3838)
• Poll for query completion via getQueryResults method. (#3844)
• Allow fetching more than the first page when max_results is set. (#3845)

PyPI: https://pypi.org/project/google-cloud-bigquery/0.27.0/

• Using the requests transport attached to a Client for for resumable media (i.e. downloads and uploads) (#3705) (this relates to the httplib2 to requests switch)

• Adding autodetect property on LoadTableFromStorageJob to enable schema autodetection. (#3648)
• Implementing the Python Futures interface for Jobs. Call job.result() to wait for jobs to complete instead of polling manually on the job status. (#3626)
• Adding is_nullable property on SchemaField. Can be used to check if a column is nullable. (#3620)
• job_name argument added to Table.upload_from_file for setting the job ID. (#3605)
• Adding google.cloud.bigquery.dbapi package, which implements PEP-249 DB-API specification. (#2921)
• Adding Table.view_use_legacy_sql property. Can be used to create views with legacy or standard SQL. (#3514)

• Removing results() method from the QueryJob class. Use query_results() instead. (#3661)
• SchemaField is now immutable. It is also hashable so that it can be used in sets. (#3601)

• Updating to google-cloud-core ~= 0.26, in particular, the underlying HTTP transport switched from httplib2 to requests (#3654, #3674)
• Adding dependency on google-resumable-media for loading BigQuery tables from local files. (#3555)

• Fix inclusion of tests (vs. unit_tests) in MANIFEST.in (#3552)
• Updating author_email in setup.py to googleapis-publisher@google.com. (#3598)

PyPI: https://pypi.org/project/google-cloud-bigquery/0.26.0/