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https://issues.apache.org/jira/browse/ARROW-17912?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17612091#comment-17612091
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Liangcai li commented on ARROW-17912:
-------------------------------------
After some investigation, according to [the code
here|https://github.com/apache/arrow/blob/release-8.0.0/cpp/src/arrow/table.cc#L621],
it look likes the *_TableBatchReader_* will return null if given an empty
table, not an empty batch. So the RecordBatchWriter will skip the empty table,
and write no batch into the stream. But the [Pyarrow requires at least one
batch
|https://github.com/apache/arrow/blob/release-7.0.0/python/pyarrow/table.pxi#L1936]when
the schema is not specified.
> Arrow C++ IPC fails to send an empty table, but Arrow Java can do it.
> ---------------------------------------------------------------------
>
> Key: ARROW-17912
> URL: https://issues.apache.org/jira/browse/ARROW-17912
> Project: Apache Arrow
> Issue Type: Bug
> Components: C++
> Reporter: Liangcai li
> Priority: Major
>
> My current work is about Pyspark Cogroup Pandas UDF. And two processes are
> involved, the JVM one (sender) and the Python one (receiver).
> [Spark is using the Arrow Java
> `ArrowStreamWriter`|https://github.com/apache/spark/blob/branch-3.3/sql/core/src/main/scala/org/apache/spark/sql/execution/python/CoGroupedArrowPythonRunner.scala#L99]
> to serialize Arrow tables being sent from the JVM process to the Python
> process, and ArrowStreamWriter can handle empty tables correctly.
> [While cuDF is using the Arrow C++ RecordBatchWriter
> |https://github.com/rapidsai/cudf/blob/branch-22.10/java/src/main/native/src/TableJni.cpp#L254]to
> do the same serialization, but it leads to an error as below on the Python
> side, where [the Pyspark is calling Pyarrow
> *Table.from_batches*|https://github.com/apache/spark/blob/branch-3.3/python/pyspark/sql/pandas/serializers.py#L366]
> to deserialize the arrow stream.
> ```
> {color:#de350b}_'Must pass schema, or at least one RecordBatch'_{color}
> ```
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