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https://issues.apache.org/jira/browse/SPARK-23228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-23228:
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Assignee: (was: Apache Spark)
> Able to track Python create SparkSession in JVM
> -----------------------------------------------
>
> Key: SPARK-23228
> URL: https://issues.apache.org/jira/browse/SPARK-23228
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 2.4.0
> Reporter: Saisai Shao
> Priority: Minor
>
> Currently when we write a {{SparkListener}} which invokes {{SparkSession}}
> and loaded in PySpark application. This {{SparkListener}} will fail to get
> {{SparkSession}} created by PySpark, so the below {{assert}} will throw an
> exception. To avoid such issue, we should add PySpark created
> {{SparkSession}} into JVM {{defaultSession}}.
> {code}
> spark.sql("CREATE TABLE test (a INT)")
> {code}
> {code}
> class TestSparkSession extends SparkListener with Logging {
> override def onOtherEvent(event: SparkListenerEvent): Unit = {
> event match {
> case CreateTableEvent(db, table) =>
> val session =
> SparkSession.getActiveSession.orElse(SparkSession.getDefaultSession).get
> assert(session != null)
> val tableInfo = session.sharedState.externalCatalog.getTable(db,
> table)
> logInfo(s"Table info ${tableInfo}")
> case e =>
> logInfo(s"event $e")
> }
> }
> }
> {code}
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