[jira] [Commented] (SPARK-44198) Inconsistent Log Level Setting between Spark Driver and Executors
[ https://issues.apache.org/jira/browse/SPARK-44198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17737308#comment-17737308 ] Vinod KC commented on SPARK-44198: -- Raised PR : https://github.com/apache/spark/pull/41746 > Inconsistent Log Level Setting between Spark Driver and Executors > - > > Key: SPARK-44198 > URL: https://issues.apache.org/jira/browse/SPARK-44198 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.5.0 >Reporter: Vinod KC >Priority: Minor > > Currently, the *sc.setLogLevel()* method only sets the log level on the Spark > driver, failing to reflect the desired log level on the executors. This > inconsistency can lead to difficulties in debugging and monitoring Spark > applications, as log messages from the executors may not align with the > expected log level set on the user code. -- 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-44198) Inconsistent Log Level Setting between Spark Driver and Executors
[ https://issues.apache.org/jira/browse/SPARK-44198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17739342#comment-17739342 ] Snoot.io commented on SPARK-44198: -- User 'vinodkc' has created a pull request for this issue: https://github.com/apache/spark/pull/41746 > Inconsistent Log Level Setting between Spark Driver and Executors > - > > Key: SPARK-44198 > URL: https://issues.apache.org/jira/browse/SPARK-44198 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.5.0 >Reporter: Vinod KC >Priority: Minor > > Currently, the *sc.setLogLevel()* method only sets the log level on the Spark > driver, failing to reflect the desired log level on the executors. This > inconsistency can lead to difficulties in debugging and monitoring Spark > applications, as log messages from the executors may not align with the > expected log level set on the user code. -- 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-44198) Inconsistent Log Level Setting between Spark Driver and Executors
[ https://issues.apache.org/jira/browse/SPARK-44198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17739343#comment-17739343 ] Snoot.io commented on SPARK-44198: -- User 'vinodkc' has created a pull request for this issue: https://github.com/apache/spark/pull/41746 > Inconsistent Log Level Setting between Spark Driver and Executors > - > > Key: SPARK-44198 > URL: https://issues.apache.org/jira/browse/SPARK-44198 > Project: Spark > Issue Type: Improvement > Components: Spark Core >Affects Versions: 3.5.0 >Reporter: Vinod KC >Priority: Minor > > Currently, the *sc.setLogLevel()* method only sets the log level on the Spark > driver, failing to reflect the desired log level on the executors. This > inconsistency can lead to difficulties in debugging and monitoring Spark > applications, as log messages from the executors may not align with the > expected log level set on the user code. -- 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