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Releases: astronomer/astro-sdk

1.8.1

21 Jun 09:38
33ca675
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Misc

  • Remove condition import for SQLAlcRow as the minimum Airflow version has been pinned to >= 2.7 #2146

1.8.0

24 Jan 17:17
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Misc

  • Replace openlineage-airflow with Apache Airflow OSS provider apache-airflow-providers-openlineage #2103
  • Bump up minimum version of apache-airflow to 2.7 #2103
  • Bump up minimum version of Python to 3.8 #2103

Bug Fixes

  • Limit pandas version to <2.2.0 due to an open issue #57053 for the release pandas==2.2.0 #2105

1.7.0

30 Aug 11:02
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Feature

  • Allow users to disable schema check and creation on load_file #1922
  • Allow users to disable schema check and creation on transform #1925
  • Add support for Excel files #1978
  • Support loading metadata columns from stage into table for Snowflake #2023

Bug Fixes

  • Add openlineage_dataset_uri in databricks #1919
  • Fix QueryModifier issue on Snowflake #1962
  • Fix AstroCustomXcomBackend circular import issue #1943

Misc

  • Add an example DAG for using dynamic task with dataframe #1912
  • Improve example_load_file DAG tasks names #1958
  • Limit databricks-sql-connector<2.9.0 #2013

Docs

  • Add docs about using dtype #1903
  • Make cleanup operator summary docs smaller #2017

1.6.2

08 Aug 13:15
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Bug Fixes

  • Fix Snowflake QueryModifier issue #1962
  • Add support for Pandas 2, Airflow 2.6.3 and Python 3.11 #1989
  • Update the WASB connection #1994

1.6.1

25 May 13:54
54bf3fd
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Bug Fixes

  • Fix AstroCustomXcomBackend circular import issue. #1943

1.5.4

25 May 13:51
21beade
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Bug Fixes

  • Fix AstroCustomXcomBackend circular import issue. #1943

1.7.0a1

05 May 13:34
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1.7.0a1 Pre-release
Pre-release

Feature

  • Allow users to disable schema check and creation on load_file #1922

1.6.0

03 May 20:35
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Feature

  • Add MySQL support #1801
  • Add support to load from Azure blob storage into Databricks #1561
  • Add argument skip_on_failure to CleanupOperator #1837 by @scottleechua
  • Add query_modifier to raw_sql, transform and transform_file, which allow users to define SQL statements to be run before the main query statement #1898.
    Example of how to use this feature can be used to add Snowflake query tags to a SQL statement:
    from astro.query_modifier import QueryModifier
    @aql.run_raw_sql(
        results_format="pandas_dataframe",
        conn_id="sqlite_default",
        query_modifier=QueryModifier(pre_queries=["ALTER team_1", "ALTER team_2"]),
    )
    def dummy_method():
        return "SELECT 1+1"
  • Upgrade astro-runtime to 7.4.2 #1878

Bug fix

  • Raise exception in case larger dataframes than expected are passed to aql.dataframe #1839
  • Revert breaking change introduced in 1.5.0, re-allowing aql.transform to receive `sql filepath #1879

Docs

  • Update open lineage documentation #1881

Misc

  • Support Apache Airflow 2.6 #1899, with internal serialization changes
  • Add basic tiltifle for local dev #1819

1.6.0a1

21 Apr 17:37
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1.6.0a1 Pre-release
Pre-release

Feature

  • Add query_modifier to raw_sql, which users can use to define SQL statements to be run before and after the main query statement #1898

Example:

    from astro.query_modifier import QueryModifier
    @aql.run_raw_sql(
        results_format="pandas_dataframe",
        conn_id="sqlite_default",
        query_modifier=QueryModifier(pre_queries=["ALTER team_1", "ALTER team_2"]),
    )
    def dummy_method():
        return "SELECT 1+1"