juliuszsompolski commented on a change in pull request #25611: [SPARK-28901][SQL] SparkThriftServer's Cancel SQL Operation show it in JDBC Tab UI URL: https://github.com/apache/spark/pull/25611#discussion_r319933080
########## File path: sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2.scala ########## @@ -239,6 +239,15 @@ object HiveThriftServer2 extends Logging { executionList(id).state = ExecutionState.COMPILED } + def onStatementCanceled(id: String): Unit = { + synchronized { + executionList(id).finishTimestamp = System.currentTimeMillis + executionList(id).state = ExecutionState.CANCELED + totalRunning -= 1 Review comment: @AngersZhuuuu I think it's easy to get something wrong with the `totalRunning` counter. Even if we covered all the cases now, it's hard to reason about all the possible paths, and easy to break. I would suggest to count it on the fly based on status, like I proposed before. ``` def getOnlineSessionNum: Int = synchronized { sessionList.count(_._2.finishTimestamp == 0) } def isExecutionActive(execInfo: ExecutionInfo): Boolean = { !(execInfo.state == ExecutionState.FAILED || execInfo.state == ExecutionState.CANCELED || execInfo.closeTimestamp != 0) } /** * When an error or a cancellation occurs, we set the finishTimestamp of the statement. * Therefore, when we count the number of running statements, we need to exclude errors and * cancellations and count all statements that have not been closed so far. */ def getTotalRunning: Int = synchronized { executionList.count { case (_, v) => isExecutionActive(v) } } ``` ---------------------------------------------------------------- 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: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org