You are viewing a plain text version of this content. The canonical link for it is here.
Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/10/23 13:11:25 UTC
[GitHub] [spark] anew commented on a change in pull request #26225:
[SPARK-29568][SS] Stop existing running streams when a new stream is launched
anew commented on a change in pull request #26225: [SPARK-29568][SS] Stop existing running streams when a new stream is launched
URL: https://github.com/apache/spark/pull/26225#discussion_r338037540
##########
File path: sql/core/src/main/scala/org/apache/spark/sql/streaming/StreamingQueryManager.scala
##########
@@ -355,11 +355,22 @@ class StreamingQueryManager private[sql] (sparkSession: SparkSession) extends Lo
// Make sure no other query with same id is active across all sessions
val activeOption =
Option(sparkSession.sharedState.activeStreamingQueries.putIfAbsent(query.id, this))
- if (activeOption.isDefined || activeQueries.values.exists(_.id == query.id)) {
+
+ val streamAlreadyActive =
+ activeOption.isDefined || activeQueries.values.exists(_.id == query.id)
+ val turnOffOldStream =
+ sparkSession.sessionState.conf.getConf(SQLConf.STOP_RUNNING_DUPLICATE_STREAM)
+ if (streamAlreadyActive && turnOffOldStream) {
+ val queryManager = activeOption.getOrElse(this)
+ logInfo(s"Stopping existing streaming query [id=${query.id}], as a new run is being " +
+ "started.")
+ queryManager.get(query.id).stop()
Review comment:
If the existing stream is a "zombie", can it happen that it does not respond to stop() and then this will block forever?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
users@infra.apache.org
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscribe@spark.apache.org
For additional commands, e-mail: reviews-help@spark.apache.org