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Spark: Supports partition management in V2 Catalog #3862
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/Spark3Util.java
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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spark/v3.2/spark/src/test/java/org/apache/iceberg/spark/sql/TestPartitionedWrites.java
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spark/v3.2/spark/src/test/java/org/apache/iceberg/spark/sql/TestPartitionedWrites.java
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/Spark3Util.java
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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cc @rdblue @jackye1995 can you help me to review. thanks. |
rollback to master
…o SupportsPartitionManagement
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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Can you spare time in review @RussellSpitzer |
spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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spark/v3.2/spark/src/main/java/org/apache/iceberg/spark/source/SparkTable.java
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This pull request has been marked as stale due to 30 days of inactivity. It will be closed in 1 week if no further activity occurs. If you think that’s incorrect or this pull request requires a review, please simply write any comment. If closed, you can revive the PR at any time and @mention a reviewer or discuss it on the [email protected] list. Thank you for your contributions. |
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This pull request has been closed due to lack of activity. This is not a judgement on the merit of the PR in any way. It is just a way of keeping the PR queue manageable. If you think that is incorrect, or the pull request requires review, you can revive the PR at any time. |
this PR fix #3558
@RussellSpitzer @rdblue please review this PR code, thanks very much.