Snowflake Connector for Python release notes for 2022

This article contains the release notes for the Snowflake Connector for Python, including the following when applicable:

  • Behavior changes

  • New features

  • Customer-facing bug fixes

Snowflake uses semantic versioning for Snowflake Connector for Python updates.

See Snowflake Connector for Python for documentation.

Version 2.9.0 (December 14, 2022)

New features and updates

  • Reworked authentication internals to allow users to plug custom key-pair authenticators.

  • Multi-statement query execution is now supported through cursor.execute and cursor.executemany.

    • The Snowflake parameter MULTI_STATEMENT_COUNT can be altered at the account, session, or statement level. An additional argument, num_statements, can be provided to execute to use this parameter at the statement level. It must be provided to executemany to submit a multi-statement query through the method. Note that bulk insert optimizations available through executemany are not available when submitting multi-statement queries.

      • By default the parameter is 1, meaning only a single query can be submitted at a time.

      • Set to 0 to submit any number of statements in a multi-statement query.

      • Set to >1 to submit the specified exact number of statements in a multi-statement query.

      • Bindings are accepted in the same way for multi-statements as they are for single statement queries.

  • Asynchronous multi-statement query execution is supported. Users should still use get_results_from_sfqid to retrieve results.

  • To access the results of each query, users can call SnowflakeCursor.nextset() as specified in the DB 2.0 API (PEP-249), to iterate through each statements results.

    • The first statement’s results are accessible immediately after calling execute (or get_results_from_sfqid if asynchronous) through the existing fetch*() methods.

Bug fixes

  • Fixed a bug where the permission of the file downloaded via GET command is changed.

Version 2.8.3 (November 28, 2022)

New features and updates

  • Bumped cryptography dependency from <39.0.0 to <41.0.0.

Bug fixes

  • Fixed a bug where an expired OCSP response cache caused infinite recursion during cache loading.

Version 2.8.2 (November 18, 2022)

New features and updates

  • Improved performance of OCSP response caching.

  • No longer resolve target location on the local machine during the execution of GET commands.

  • Improved performance of regexes used for PUT/GET SQL statement detection.

Version 2.8.1 (October 28, 2022)

New features and updates

  • Bumped cryptography dependency from <37.0.0 to <39.0.0.

  • When closing a connection, the async query status checking is now parallelized.

Bug fixes

  • Fixed an issue where write_pandas wouldn’t write an empty DataFrame to Snowflake.

Version 2.8.0 (September 27, 2022)

Bug fixes

  • Fixed missing dtypes when calling fetch_pandas() and fetch_arrow() on empty results.

  • Fixed a bug where rowcount was deleted when the cursor was closed.

  • Fixed a bug where extTypeName was used even when it was empty.

  • Updated how telemetry entries are constructed.

  • Added telemetry for imported root packages during run-time.

  • Added telemetry for using write_pandas.

  • The write_pandas function now supports providing additional arguments to be used by DataFrame.to_parquet.

  • All optional parameters of write_pandas can now be provided to pd_writer and make_pd_writer to be used with DataFrame.to_sql.

Version 2.7.12 (August 24, 2022)

New features and updates

  • Added in-file caching for OCSP response caching.

  • Added support for OKTA Identity Engine.

  • The write_pandas function now supports transient tables through the new table_type argument that supersedes create_temp_table argument.

Bug fixes

  • Fixed a bug where timestamps fetched as pandas.DataFrame or pyarrow.Table would overflow for the sake of unnecessary precision. In the case where an overflow cannot be prevented, a clear error is now raised.

  • Fixed a bug where calling fetch_pandas_batches incorrectly raised NotSupportedError after an async query was executed.

Version 2.7.11 (July 28, 2022)

Bug fixes

  • Added a minimum version pin to typing_extensions.

Version 2.7.10 (July 25, 2022)

New features and updates

  • Added an in-memory cache to OCSP requests.

  • Added an overwrite option to write_pandas.

  • Added the lastrowid attribute to SnowflakeCursor in compliance with PEP-249.

  • Added new connection diagnostics capabilities.

  • Updated the following libraries and resources:

    • Supported pyarrow versions to 8.0.X.

    • Vendored library versions requests to 2.28.1 and urllib3 to 1.26.10.

    • Supported numby dependency versions from 1.23.0 to 1.24.0.

Bug fixes

  • Fixed an issue where gzip-compressed HTTP requests might be garbled by an unflushed buffer.

Version 2.7.5 (March 18, 2022)

Behavior change

  • Deprecated support for Python 3.6.

New feature

  • Added an option for partners to inject their name through an environmental variable (SF_PARTNER).

Bug fixes

  • Fixed a bug where we would not wait for input if a browser window couldn’t be opened for SSO login.

  • Exported a type definition for SnowflakeConnection.

  • Fixed a bug where final Arrow table would contain duplicate index numbers when using fetch_pandas_all.

Version 2.7.3 (January 18, 2022)

Bug fixes

  • Moved package metadata from setup.py to setup.cfg.

  • Added Timezone to Timestamp_TZ.

  • Fixed an error related to storage credentials.

  • Fixed an issue where py.typed was not being included in wheels.

  • Fix an issue where negative numbers were not correctly converted using arrow_number_to_decimal.

  • Added file handling for empty files when using GET.

  • Fixed the long description rendering for PyPi.

  • Added error handling for DUO when SMS is not present.

  • Added the ability to auto-create a table when writing a pandas DataFrame to a Snowflake table.

  • Updated numpy requirement from <1.22.0 to <1.23.0.

  • Updated the CODEOWNERS file.

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