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A stream-static join enriches real-time orders with a slowly changing product table loaded as a batch DataFrame at query start. The product table changes later, but the stream continues to use old values. What is the best explanation?
Watermarks delay static table updates until the late-data threshold passes.
The static side is planned as a batch relation for the running query, so later product changes are not automatically picked up.
Stream-static joins always convert the static side to a broadcast accumulator.
Structured Streaming forbids joins unless both sides are streaming.
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