[ https://issues.apache.org/jira/browse/SPARK-19094?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19094: ------------------------------------ Assignee: (was: Apache Spark) > Plumb through logging/error messages from the JVM to Jupyter PySpark > -------------------------------------------------------------------- > > Key: SPARK-19094 > URL: https://issues.apache.org/jira/browse/SPARK-19094 > Project: Spark > Issue Type: Improvement > Components: PySpark > Reporter: holdenk > Priority: Trivial > > Jupyter/IPython notebooks works by overriding sys.stdout & sys.stderr, as > such the error messages that show up in IJupyter/IPython are often missing > the related logs - which is often more useful than the exception its self. > This could make it easier for Python developers getting started with Spark on > their local laptops to debug their applications, since otherwise they need to > remember to keep going to the terminal where they launched the notebook from. > One counterpoint to this is that Spark's logging is fairly verbose, but since > we provide the ability for the user to tune the log messages from within the > notebook that should be OK. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org