[jira] [Updated] (SPARK-6415) Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app
[ https://issues.apache.org/jira/browse/SPARK-6415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Hyukjin Kwon updated SPARK-6415: Labels: bulk-closed (was: ) > Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills > the app > - > > Key: SPARK-6415 > URL: https://issues.apache.org/jira/browse/SPARK-6415 > Project: Spark > Issue Type: Improvement > Components: DStreams >Reporter: Hari Shreedharan >Priority: Major > Labels: bulk-closed > > Of course, this would have to be done as a configurable param, but such a > fail-fast is useful else it is painful to figure out what is happening when > there are cascading failures. In some cases, the SparkContext shuts down and > streaming keeps scheduling jobs -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-6415) Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app
[ https://issues.apache.org/jira/browse/SPARK-6415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Sean Owen updated SPARK-6415: - Issue Type: Improvement (was: Bug) Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app - Key: SPARK-6415 URL: https://issues.apache.org/jira/browse/SPARK-6415 Project: Spark Issue Type: Improvement Components: Streaming Reporter: Hari Shreedharan Of course, this would have to be done as a configurable param, but such a fail-fast is useful else it is painful to figure out what is happening when there are cascading failures. In some cases, the SparkContext shuts down and streaming keeps scheduling jobs -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-6415) Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app
[ https://issues.apache.org/jira/browse/SPARK-6415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Patrick Wendell updated SPARK-6415: --- Component/s: Streaming Spark Streaming fail-fast: Stop scheduling jobs when a batch fails, and kills the app - Key: SPARK-6415 URL: https://issues.apache.org/jira/browse/SPARK-6415 Project: Spark Issue Type: Bug Components: Streaming Reporter: Hari Shreedharan Of course, this would have to be done as a configurable param, but such a fail-fast is useful else it is painful to figure out what is happening when there are cascading failures. In some cases, the SparkContext shuts down and streaming keeps scheduling jobs -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
