[
https://issues.apache.org/jira/browse/SPARK-48302?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-48302.
----------------------------------
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 46837
[https://github.com/apache/spark/pull/46837]
> Preserve nulls in map columns in PyArrow Tables
> -----------------------------------------------
>
> Key: SPARK-48302
> URL: https://issues.apache.org/jira/browse/SPARK-48302
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.0.0, 3.5.1
> Reporter: Ian Cook
> Assignee: Ian Cook
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> Because of a limitation in PyArrow, when PyArrow Tables containing MapArray
> columns with nested fields or timestamps are passed to
> {{{}spark.createDataFrame(){}}}, null values in the 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.
> [Update] A fix for this has been implemented in PyArrow in
> [https://github.com/apache/arrow/pull/41757] by adding a {{mask}} argument to
> {{{}pa.MapArray.from_arrays{}}}. This will be released in PyArrow 17.0.0.
> 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:
> {{LooseVersion(pa.\_\_version\_\_) >= LooseVersion("17.0.0")}}
> or
> {{from inspect import signature}}
> {{"mask" in signature(pa.MapArray.from_arrays).parameters}}
> and only pass {{mask}} if that's true.
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
