alex-balikov commented on code in PR #38405:
URL: https://github.com/apache/spark/pull/38405#discussion_r1007234930
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sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala:
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@@ -1941,6 +1941,22 @@ object SQLConf {
.booleanConf
.createWithDefault(true)
+ val STATEFUL_OPERATOR_ALLOW_MULTIPLE =
+ buildConf("spark.sql.streaming.statefulOperator.allowMultiple")
+ .internal()
+ .doc("When true, multiple stateful operators are allowed to be present
in a streaming " +
+ "pipeline. The support for multiple stateful operators introduces a
minor (semantically " +
+ "correct) change in respect to late record filtering - late records
are detected and " +
+ "filtered in respect to the watermark from the previous microbatch
instead of the " +
+ "current one. This is a behavior change for Spark streaming pipelines
and we allow " +
Review Comment:
Currently it is the same watermark passed to all operators. The issue is if
anyone has nit tests which check exactly what records are filtered with
carefully constructed batches and Trigger.Once - such tests can detect the
change in behavior and fail.
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