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Dongjoon Hyun edited comment on SPARK-34674 at 3/18/21, 9:39 PM: ----------------------------------------------------------------- I reopen this because the affected version is not the same according to [~Kotlov]. The following is a copy of my comment at the other JIRA. 1. Does your example work with any Spark versions before? Then, what is the latest Spark version? 2. BTW, `sparkContext.stop()` or `spark.stop()` should be called by App. I don't think your use case is a legit Spark example although it might be a behavior change across Spark versions. was (Author: dongjoon): I reopen this because the affected version is not the same. The following is a copy of my comment at the other JIRA. 1. Does your example work with any Spark versions before? Then, what is the latest Spark version? 2. BTW, `sparkContext.stop()` or `spark.stop()` should be called by App. I don't think your use case is a legit Spark example although it might be a behavior change across Spark versions. > Spark app on k8s doesn't terminate without call to sparkContext.stop() method > ----------------------------------------------------------------------------- > > Key: SPARK-34674 > URL: https://issues.apache.org/jira/browse/SPARK-34674 > Project: Spark > Issue Type: Bug > Components: Kubernetes > Affects Versions: 3.1.1 > Reporter: Sergey > Priority: Major > > Hello! > I have run into a problem that if I don't call the method > sparkContext.stop() explicitly, then a Spark driver process doesn't terminate > even after its Main method has been completed. This behaviour is different > from spark on yarn, where the manual sparkContext stopping is not required. > It looks like, the problem is in using non-daemon threads, which prevent the > driver jvm process from terminating. > At least I see two non-daemon threads, if I don't call sparkContext.stop(): > {code:java} > Thread[OkHttp kubernetes.default.svc,5,main] > Thread[OkHttp kubernetes.default.svc Writer,5,main] > {code} > Could you tell please, if it is possible to solve this problem? > Docker image from the official release of spark-3.1.1 hadoop3.2 is used. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org