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feat: Parquet Modular Encryption with Spark KMS for native readers - #2447
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…ark side accessed via JNI.
Codecov Report❌ Patch coverage is Additional details and impacted files@@ Coverage Diff @@## main #2447 +/- ##
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+ Coverage 56.12% 58.92% +2.79% - Complexity 976 1457 +481
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Files 119 147 +28 Lines 11743 13642 +1899 Branches 2251 2369 +118 ============================================
+ Hits 6591 8038 +1447 - Misses 4012 4381 +369 - Partials 1140 1223 +83 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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parthchandra
commented
Sep 24, 2025
Also look at https://github.com/apache/parquet-java/blob/master/parquet-hadoop/src/test/java/org/apache/parquet/crypto/TestPropertiesDrivenEncryption.java to see if there are any tests that might be relevant here. |
# Conflicts: # spark/src/main/scala/org/apache/comet/CometExecIterator.scala
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mbutrovich
commented
Sep 30, 2025
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| // spotless:off | ||
| /* | ||
| * Architecture Overview: |
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This diagram is super helpful, thanks a lot.
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# Conflicts: # native/core/src/execution/jni_api.rs # spark/src/main/scala/org/apache/comet/CometExecIterator.scala # spark/src/main/scala/org/apache/comet/Native.scala
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Which issue does this PR close?
Closes #.
Rationale for this change
We want to add Parquet Module Encryption support for the native readers when using a Spark KMS. We use the encryption factory features added in DataFusion 50 to register an encryption factory that uses JNI to get decryption keys from Spark.
What changes are included in this PR?
How are these changes tested?