[jira] [Commented] (SPARK-42676) Write temp checkpoints for streaming queries to local filesystem even if default FS is set differently
[ https://issues.apache.org/jira/browse/SPARK-42676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17696680#comment-17696680 ] Apache Spark commented on SPARK-42676: -- User 'anishshri-db' has created a pull request for this issue: https://github.com/apache/spark/pull/40292 > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > -- > > Key: SPARK-42676 > URL: https://issues.apache.org/jira/browse/SPARK-42676 > Project: Spark > Issue Type: Task > Components: Structured Streaming >Affects Versions: 3.4.0 >Reporter: Anish Shrigondekar >Priority: Major > > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > > We have seen cases where the default FS could be a remote file system and > since the path for streaming checkpoints is not specified explcitily, this > could cause pileup under 2 cases: > * query exits with exception and the flag to force checkpoint removal is not > set > * driver/cluster terminates without query being terminated gracefully -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42676) Write temp checkpoints for streaming queries to local filesystem even if default FS is set differently
[ https://issues.apache.org/jira/browse/SPARK-42676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17696678#comment-17696678 ] Apache Spark commented on SPARK-42676: -- User 'anishshri-db' has created a pull request for this issue: https://github.com/apache/spark/pull/40292 > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > -- > > Key: SPARK-42676 > URL: https://issues.apache.org/jira/browse/SPARK-42676 > Project: Spark > Issue Type: Task > Components: Structured Streaming >Affects Versions: 3.4.0 >Reporter: Anish Shrigondekar >Priority: Major > > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > > We have seen cases where the default FS could be a remote file system and > since the path for streaming checkpoints is not specified explcitily, this > could cause pileup under 2 cases: > * query exits with exception and the flag to force checkpoint removal is not > set > * driver/cluster terminates without query being terminated gracefully -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-42676) Write temp checkpoints for streaming queries to local filesystem even if default FS is set differently
[ https://issues.apache.org/jira/browse/SPARK-42676?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17696672#comment-17696672 ] Anish Shrigondekar commented on SPARK-42676: Will send the PR soon cc - [~kabhwan] > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > -- > > Key: SPARK-42676 > URL: https://issues.apache.org/jira/browse/SPARK-42676 > Project: Spark > Issue Type: Task > Components: Structured Streaming >Affects Versions: 3.4.0 >Reporter: Anish Shrigondekar >Priority: Major > > Write temp checkpoints for streaming queries to local filesystem even if > default FS is set differently > > We have seen cases where the default FS could be a remote file system and > since the path for streaming checkpoints is not specified explcitily, this > could cause pileup under 2 cases: > * query exits with exception and the flag to force checkpoint removal is not > set > * driver/cluster terminates without query being terminated gracefully -- This message was sent by Atlassian Jira (v8.20.10#820010) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org