HeartSaVioR commented on code in PR #38405:
URL: https://github.com/apache/spark/pull/38405#discussion_r1007386332
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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:
Yes, we will have a bunch of errors in test suites when we disable no-data
batch. Most test cases are assuming that no-data batch always happens.
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