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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:
-----------------------------
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.
A possible fix for this will involve adding a {{mask}} argument to
{{{}pa.MapArray.from_arrays{}}}. But since older versions of PyArrow (which
PySpark will still support for a while) won't have this argument, we will need
to do a check like:
{{if LooseVersion(pa.__version__) >= LooseVersion("1X.0.0"):}}
or
{{from inspect import signature}}
{{"mask" in signature(pa.MapArray.from_arrays).parameters}}
and only pass {{mask}} if that's true.
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].
See the skipped tests and the TODO mentioning SPARK-48302.
A possible fix for this will involve adding a {{mask}} argument to
{{pa.MapArray.from_arrays}}. But since older versions of PyArrow (which PySpark
will still support for a while) won't have this argument, we will need to do a
check like:
{{if LooseVersion(pa._{_}version{_}_) >= LooseVersion("1X.0.0"):}}
or
{{from inspect import signature}}
{{"mask" in signature(pa.MapArray.from_arrays).parameters}}
and only pass {{mask}} if that's true.
> 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.
> A possible fix for this will involve adding a {{mask}} argument to
> {{{}pa.MapArray.from_arrays{}}}. But since older versions of PyArrow (which
> PySpark will still support for a while) won't have this argument, we will
> need to do a check like:
> {{if LooseVersion(pa.__version__) >= LooseVersion("1X.0.0"):}}
> or
> {{from inspect import signature}}
> {{"mask" in signature(pa.MapArray.from_arrays).parameters}}
> and only pass {{mask}} if that's true.
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