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Posted to issues@spark.apache.org by "Burak Yavuz (Jira)" <ji...@apache.org> on 2019/09/23 18:03:00 UTC

[jira] [Created] (SPARK-29219) DataSourceV2: Support all SaveModes in DataFrameWriter.save

Burak Yavuz created SPARK-29219:
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             Summary: DataSourceV2: Support all SaveModes in DataFrameWriter.save
                 Key: SPARK-29219
                 URL: https://issues.apache.org/jira/browse/SPARK-29219
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Burak Yavuz


We currently don't support all save modes in DataFrameWriter.save as the TableProvider interface allows for the reading/writing of data, but not for the creation of tables. We created a catalog API to support the creation/dropping/checking existence of tables, but DataFrameWriter.save doesn't necessarily use a catalog for example, when writing to a path based table.

For this case, we propose a new interface that will allow TableProviders to extract an Indentifier and a Catalog from a bundle of CaseInsensitiveStringOptions. This information can then be used to check the existence of a table, and support all save modes. If a Catalog is not defined, then the behavior is to use the spark_catalog (or configured session catalog) to perform the check.



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