ASA parallel JOIN drops matches when the two Event Hubs inputs use different partition-key hashing - Microsoft Q&A

An update highlights a known issue in Azure Stream Analytics where parallel JOINS between two Event Hubs can lose significant matches if the partition keys are hashed differently by the input clients.

“ASA job (compat 1.2) joins two Event Hubs on (both 4 partitions) into a third hub. With the input Partition key column declared (embarrassingly-parallel), the JOIN silently loses ~78% of matches — no errors. Measured: parallel ≈ 22% match, non-parallel ≈ 100% . Cause: the two inputs are produced by clients that hash …”

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Audience

developer

Environment

cloud

Classification confidence: 95%

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