Description
Row-level operations such as UPDATE, DELETE, MERGE are becoming more and more important for modern Big Data workflows. Use cases include but are not limited to deleting a set of records for regulatory compliance, updating a set of records to fix an issue in the ingestion pipeline, applying changes in a transaction log to a fact table. Row-level operations allow users to easily express their use cases that would otherwise require much more SQL. Common patterns for updating partitions are to read, union, and overwrite or read, diff, and append. Using commands like MERGE, these operations are easier to express and can be more efficient to run.
Hive supports MERGE and Spark should implement similar support.
SPIP: https://docs.google.com/document/d/12Ywmc47j3l2WF4anG5vL4qlrhT2OKigb7_EbIKhxg60
Attachments
Issue Links
- is a parent of
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SPARK-38085 DataSource V2: Handle DELETE commands for group-based sources
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- Resolved
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- is related to
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SPARK-44111 Prepare Apache Spark 4.0.0
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- Open
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- links to
