yadavay-amzn commented on code in PR #56692:
URL: https://github.com/apache/spark/pull/56692#discussion_r3526301617
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sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala:
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@@ -336,6 +336,26 @@ class AsyncProgressTrackingMicroBatchExecutionSuite
e.getMessage should equal("Async progress tracking cannot be used with
AvailableNow trigger")
}
+ test("Fail with streaming sink evolution enabled") {
+ val inputData = new MemoryStream[Int](id = 0, spark)
+ val ds = inputData.toDF()
+
+ // The sink is intentionally left unnamed: the combination is rejected
before the execution is
+ // constructed, so the error does not depend on whether name() is set.
+ withSQLConf(SQLConf.ENABLE_STREAMING_SINK_EVOLUTION.key -> "true") {
+ val e = intercept[SparkIllegalArgumentException] {
+ ds.writeStream
+ .format("noop")
+ .option(ASYNC_PROGRESS_TRACKING_ENABLED, true)
+ .start()
+ }
+ checkError(
+ e,
+ condition =
"STREAMING_QUERY_EVOLUTION_ERROR.ASYNC_PROGRESS_TRACKING_NOT_SUPPORTED",
+ parameters = Map.empty)
+ }
Review Comment:
Non-blocking: could add a companion assertion that the guard does *not* fire
when only one of the two configs is set (e.g. `enableSinkEvolution=true` with
async off still starts, or async on with `enableSinkEvolution=false` still
starts). The current test proves the guard fires, but not that it's narrow, so
a future broadening of the condition would go uncaught.
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