Bryan Cutler created SPARK-29040:
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Summary: Support pyspark.createDataFrame from a pyarrow.Table
Key: SPARK-29040
URL: https://issues.apache.org/jira/browse/SPARK-29040
Project: Spark
Issue Type: Improvement
Components: PySpark, SQL
Affects Versions: 3.0.0
Reporter: Bryan Cutler
PySpark {{createDataFrame}} currently supports creating a spark DataFrame from
Pandas, using Arrow if enabled. This could be extended to accept a
{{pyarrow.Table}} which has the added benefit of being able to efficiently use
columns with nested struct types.
It is possible to convert a pyarrow.Table with nested columns into a
pandas.DataFrame, but the data becomes dictionaries, and is not a performant
way to parallelize the data.
Time/Date columns would need to be handled specially, since pyspark currently
uses pandas to convert Arrow data of these types to the required Spark internal
format.
This follows from a mailing list discussion at
http://apache-spark-user-list.1001560.n3.nabble.com/question-about-pyarrow-Table-to-pyspark-DataFrame-conversion-td36110.html
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