Add Spark 4.0 support via deequ:2.0.14-spark-4.0#259
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m-aciek wants to merge 1 commit intoawslabs:masterfrom
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Add Spark 4.0 support via deequ:2.0.14-spark-4.0#259m-aciek wants to merge 1 commit intoawslabs:masterfrom
m-aciek wants to merge 1 commit intoawslabs:masterfrom
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This is now ready for review; CI tests pass on my fork: https://github.com/m-aciek/python-deequ/actions/runs/24196839467 |
chenliu0831
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Apr 15, 2026
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LGTM. I'm not sure if we would like to keep maintaining the Py4j approach though.
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@m-aciek we need your commit to have verified signatures |
- Add "4.0" entry to SPARK_TO_DEEQU_COORD_MAPPING in configs.py - Widen pyspark optional dep bound to <5.0.0 in pyproject.toml - Replace scala.collection.JavaConversions (removed in Scala 2.13) with JavaConverters in scala_utils.py and profiles.py - Replace scala.collection.Seq.empty() (inaccessible via Py4J in Scala 2.13) with to_scala_seq(jvm, jvm.java.util.ArrayList()) in analyzers.py and checks.py - Add Spark 4.0.0 to CI matrix with Java 17; use include: style to pair each Spark version with its required Java version - Fix CI for Spark 4.0: - use Python 3.9 and version-marker pyspark dep - use pip install instead of poetry add - install pandas>=2.0.0 required by PySpark 4.0 - Fix empty Seq compatibility across Scala 2.12 and 2.13 Fixes awslabs#258
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@chenliu0831 I've setup the verification and squashed the commits |
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Closes #258
Summary
"4.0": "com.amazon.deequ:deequ:2.0.14-spark-4.0"toSPARK_TO_DEEQU_COORD_MAPPINGinconfigs.py>=2.4.7,<3.4.0to>=2.4.7,<5.0.0inpyproject.tomlscala.collection.JavaConversions(removed in Scala 2.13) withJavaConvertersinscala_utils.pyandprofiles.pyscala.collection.Seq.empty()(inaccessible via Py4J in Scala 2.13) with an empty Java list converted viato_scala_seqinanalyzers.pyandchecks.pyinclude:style so each Spark version carries its required Java versionRoot causes fixed
Spark 4 uses Scala 2.13, which introduced two breaking changes affecting pydeequ:
scala.collection.JavaConversionswas removed — replaced byJavaConverterswith explicit.asScala()/.asJava()callsscala.collection.Seq.empty()is not accessible via Py4J reflection — replaced withto_scala_seq(jvm, jvm.java.util.ArrayList())which constructs an empty ScalaSeqvia the already-fixed converterTest plan
SPARK_VERSION=4.0.0/pyspark==4.0.0PR authored with assistance from Claude Code