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@kuraish said in the comment that after the installation of mackichan software, the problem is solved. We don’t support and answer regarding how to resolve the issues in different operating systems. I also use windows 10.
Thanks for @kuraish


Spark structured streaming: Current limit on session tracking failed

we had a structured streaming spark project that we were running that was working fine. We ported it to a standalone machine (with separate clusters of course) and when we tried to run it, we found the following error:
Caused by: java.lang.RuntimeException: java.lang.RuntimeException:
Current limit on session tracking failed. Overflow count: 16
See MESSAGE for more details.
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runStream$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(StreamExecution.scala:623)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runStream$1$$anonfun$apply$mcV$sp$1.apply(StreamExecution.scala:623)
at org.apache.spark.sql.execution.streaming.StreamExecution$$anonfun$org$apache$spark$sql$execution$streaming$StreamExecution$$runStream$1$$anonfun$apply$mcV$sp$1.apply(StreamExecution.scala:623)
at org.apache.spark.sql.execution.streaming.ProgressReporter$class.compute(

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