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https://issues.apache.org/jira/browse/SPARK-47365?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ian Cook updated SPARK-47365:
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Description:
Over in the Apache Arrow community, we hear from a lot of users who want to
return the contents of a PySpark DataFrame as a [PyArrow
Table|https://arrow.apache.org/docs/python/generated/pyarrow.Table.html].
Currently the only documented way to do this is:
*PySpark DataFrame* --> *pandas DataFrame* --> *PyArrow Table*
This adds significant overhead compared to going direct from PySpark DataFrame
to PyArrow Table. Since [PySpark already goes through PyArrow to convert to
pandas|https://spark.apache.org/docs/latest/api/python/user_guide/sql/arrow_pandas.html],
would it be possible to publicly expose an experimental *_toArrowTable()*
method of the Spark DataFrame class?
was:
Over in the Apache Arrow community, we hear from a lot of users who want to
return the contents of a PySpark DataFrame as a [PyArrow
Table|https://arrow.apache.org/docs/python/generated/pyarrow.Table.html].
Currently the only documented way to do this is:
*PySpark DataFrame* --> *pandas DataFrame* --> *PyArrow Table*
This adds significant overhead compared to going direct from PySpark DataFrame
to PyArrow Table. Since [PySpark already goes through PyArrow to convert to
pandas|https://spark.apache.org/docs/latest/api/python/user_guide/sql/arrow_pandas.html],
would it be possible to publicly expose an experimental *_toArrow()* method of
the Spark DataFrame class?
> Add _toArrowTable() DataFrame method to PySpark
> ---
>
> Key: SPARK-47365
> URL: https://issues.apache.org/jira/browse/SPARK-47365
> Project: Spark
> Issue Type: Improvement
> Components: Connect, Input/Output, PySpark, SQL
>Affects Versions: 3.5.1
>Reporter: Ian Cook
>Priority: Major
> Labels: pull-request-available
>
> Over in the Apache Arrow community, we hear from a lot of users who want to
> return the contents of a PySpark DataFrame as a [PyArrow
> Table|https://arrow.apache.org/docs/python/generated/pyarrow.Table.html].
> Currently the only documented way to do this is:
> *PySpark DataFrame* --> *pandas DataFrame* --> *PyArrow Table*
> This adds significant overhead compared to going direct from PySpark
> DataFrame to PyArrow Table. Since [PySpark already goes through PyArrow to
> convert to
> pandas|https://spark.apache.org/docs/latest/api/python/user_guide/sql/arrow_pandas.html],
> would it be possible to publicly expose an experimental *_toArrowTable()*
> method of the Spark DataFrame class?
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