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https://issues.apache.org/jira/browse/SPARK-61179?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61179:
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Fix Version/s: connect-rust-4.3.0
> Unset a DataFrameReader option of None, and take the description of
> Catalog.createExternalTable, in the Python client as PySpark does
> -------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61179
> URL: https://issues.apache.org/jira/browse/SPARK-61179
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> Two arguments of the Python client's readers and catalog differ from
> PySpark's:
> 1. PySpark's DataFrameReader.option(key, None), options(key=None) and
> load(..., key=None) unset the option: the reader keeps None, and the plan
> leaves out the options of None. So spark.read.option("header",
> "true").option("header", None).csv(path) reads without a header. The client
> skips None, so the earlier value stays and the file is read with a header.
> 2. PySpark's Catalog.createExternalTable(tableName, path, source, schema,
> **options) calls createTable(tableName, path, source, schema, **options), so
> a description keyword is the description of the table. The client sends it as
> an option "description", so the table has no comment and a "description"
> property.
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