v2.0.0

2.0.0 (2025-04-17)

⚠ BREAKING CHANGES

• make dataset and name params mandatory in udf (#1619)
• Locational endpoints support is not available in BigFrames 2.0.
• change default LLM model to gemini-2.0-flash-001, drop PaLM2TextGenerator and PaLM2TextEmbeddingGenerator (#1558)
• change default ingress setting for remote_function to internal-only (#1544)
• make remote_function params keyword only (#1537)
• make remote_function default service account explicit (#1537)
• set allow_large_results=False by default (#1541)

Features

• Add on parameter in dataframe.rolling() and dataframe.groupby.rolling() (#1556) (45c9d9f)
• Add component to manage temporary tables (#1559) (0a4e245)
• Add Series.to_pandas_batches() method (#1592) (09ce979)
• Add support for creating a Matrix Factorization model (#1330) (b5297f9)
• Allow input_types, output_type, and dataset to be used positionally in remote_function (#1560) (bcac8c6)
• Allow pandas.cut 'labels' parameter to accept a list of string (#1549) (af842b1)
• Change default ingress setting for remote_function to internal-only (#1544) (c848a80)
• Detect duplicate column/index names in read_gbq before send query. (#1615) (40d6960)
• Drop support for locational endpoints (#1542) (4bf2e43)
• Enable time range rolling for DataFrame, DataFrameGroupBy and SeriesGroupBy (#1605) (b4b7073)
• Improve local data validation (#1598) (815e471)
• Make remote_function default service account explicit (#1537) (9eb9089)
• Set allow_large_results=False by default (#1541) (e9fb712)
• Support bigquery connection in managed function (#1554) (f6f697a)
• Support bq connection path format (#1550) (e7eb918)
• Support gemini-2.0-X models (#1558) (3104fab)
• Support inlining small list, struct, json data (#1589) (2ce891f)
• Support time range rolling on Series. (#1590) (6e98a2c)
• Use session temp tables for all ephemeral storage (#1569) (9711b83)
• Use validated local storage for data uploads (#1612) (aee4159)
• Warn the deprecated max_download_size, random_state and sampling_method parameters in (DataFrame|Series).to_pandas() (#1573) (b9623da)

Bug Fixes

• to_pandas_batches() respects page_size and max_results again (#1572) (27c5905)
• Ensure page_size works correctly in to_pandas_batches when max_results is not set (#1588) (570cff3)
• Include role and service account in IAM exception (#1564) (8c50755)
• Make dataset and name params mandatory in udf (#1619) (637e860)
• Pandas.cut returns labels index for numeric breaks when labels=False (#1548) (b2375de)
• Prevent KeyError in bpd.concat with empty DF and struct/array types DF (#1568) (b4da1cf)
• Read_csv supports for tilde local paths and includes index for bigquery_stream write engine (#1580) (352e8e4)
• Use dictionaries to avoid problematic google.iam namespace (#1611) (b03e44f)

Performance Improvements

• Directly read gbq table for simple plans (#1607) (6ad38e8)

Dependencies

• Remove jellyfish dependency (#1604) (1ac0e1e)
• Remove parsy dependency (#1610) (293f676)
• Remove test dependency on pytest-mock package (#1622) (1ba72ea)
• Support a shapely versions 1.8.5+ (#1621) (e39ee3b)

Documentation

• Add details for bigquery_connection in [@bpd](https://github.com/bpd).udf docstring (#1609) (ef63772)
• Add explain forecast snippet to multiple time series tutorial (#1586) (40c55a0)
• Add message to remove default model for version 3.0 (#1563) (910be2b)
• Add samples for ArimaPlus time_series_id_col feature (#1577) (1e4cd9c)
• Add warning for bigframes 2.0 (#1557) (3f0eaa1)
• Deprecate default model in TextEmbedddingGenerator, GeminiTextGenerator, and other bigframes.ml.llm classes (#1570) (89ab33e)
• Include all licenses for vendored packages in the root LICENSE file (#1626) (8116ed0)
• Remove gemini-1.5 deprecation warning for GeminiTextGenerator (#1562) (0cc6784)
• Use restructured text to allow publishing to PyPI (#1565) (d1e9ec2)

Miscellaneous Chores

• Make remote_function params keyword only (#1537) (9eb9089)