[SPARK-51271][PYTHON] Add filter pushdown API to Python Data Sources #49961
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What changes were proposed in this pull request?
Suggested reivew order (from high level to details)
datasource.py: add filter pushdown to Python Data Source APItest_python_datasource.py: tests for filter pushdownPythonScanBuilder.scala: implement filter pushdown API in ScalaUserDefinedPythonDataSource.scala(UserDefinedPythonDataSourceFilterPushdownRunner),data_source_pushdown_filters.py: communication between Python and Scalasql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/pythonand inpython/pyspark/sql: Changes to the sequence of interactions between Python and Scala to accommodate filter pushdownChanges to interactions between Python and Scala
Original sequence:
Updated sequence (new interactions are highlighted in yellow):
data source -> (partitions, read function)transformation (plan_data_source_read.py) into two steps:data source -> reader(data_source_get_reader.py) andreader -> (partitions, read function)(plan_data_source_read.py).Why are the changes needed?
Filter pushdown allows reducing the amount of data produced by the reader, by filtering rows directly in the data source scan. The reduction in the amount of data can improve query performance. This PR implements filter pushdown for Python Data Sources API using the existing Scala DS filter pushdown API. An upcoming PR will implement the actual filter types and the serialization of filters.
Does this PR introduce any user-facing change?
Yes. New API are added. See
datasource.pyfor details.How was this patch tested?
Tests added to
test_python_datasource.py.Was this patch authored or co-authored using generative AI tooling?
No