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https://issues.apache.org/jira/browse/SPARK-48302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ian Cook updated SPARK-48302:
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Description:
Because of a limitation in PyArrow, when PyArrow Tables are passed to
spark.createDataFrame(), null values in MapArray columns are replaced with
empty lists.
The PySpark function where this happens is pyspark.sql.pandas.types.
_check_arrow_array_timestamps_localize.
Also see [https://github.com/apache/arrow/issues/41684].
See the skipped tests and the TODO mentioning SPARK-48302.
was:
Because of a limitation in PyArrow, when PyArrow Tables are passed to
spark.createDataFrame(), null values in MapArray columns are replaced with
empty lists.
The PySpark function where this happens is pyspark.sql.pandas.types.
_check_arrow_array_timestamps_localize.
Also see [https://github.com/apache/arrow/issues/41684].
> Null values in map columns of PyArrow tables are replaced with empty lists
> --------------------------------------------------------------------------
>
> Key: SPARK-48302
> URL: https://issues.apache.org/jira/browse/SPARK-48302
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 4.0.0
> Reporter: Ian Cook
> Priority: Major
>
> Because of a limitation in PyArrow, when PyArrow Tables are passed to
> spark.createDataFrame(), null values in MapArray columns are replaced with
> empty lists.
> The PySpark function where this happens is pyspark.sql.pandas.types.
> _check_arrow_array_timestamps_localize.
> Also see [https://github.com/apache/arrow/issues/41684].
> See the skipped tests and the TODO mentioning SPARK-48302.
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