How to provide custom class extending SparkPlugin/ExecutorPlugin in Databricks 7.3?

[krishnakash]

How to properly configure the jar containing the class and spark plugin in Databricks?

During DBR 7.3 cluster creation, I tried by setting the spark.plugins, spark.driver.extraClassPath and spark.executor.extraClassPath Spark configs by copying the jar reqd in /tmp folder.

class PtyExecSparkPlugin extends ExecutorPlugin  {
 
  private val logger: Logger = LoggerFactory.getLogger(Utils.logName(this.getClass))
 
  override def shutdown(): Unit = {
   //custom code statements
  }
}

However the cluster creation fails with com.example.spark.PtyExecSparkPlugin not found in com.databricks.backend.daemon.driver.ClassLoaders$LibraryClassLoader@622d7e4

Full log4j logs:

21/11/01 13:33:01 ERROR SparkContext: Error initializing SparkContext.
java.lang.ClassNotFoundException: com.protegrity.spark.PtyExecSparkPlugin not found in com.databricks.backend.daemon.driver.ClassLoaders$LibraryClassLoader@622d7e4
	at com.databricks.backend.daemon.driver.ClassLoaders$MultiReplClassLoader.loadClass(ClassLoaders.scala:115)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
	at java.lang.Class.forName0(Native Method)
	at java.lang.Class.forName(Class.java:348)
	at org.apache.spark.util.Utils$.classForName(Utils.scala:226)
	at org.apache.spark.util.Utils$.$anonfun$loadExtensions$1(Utils.scala:3006)
	at scala.collection.TraversableLike.$anonfun$flatMap$1(TraversableLike.scala:245)
	at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
	at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
	at scala.collection.TraversableLike.flatMap(TraversableLike.scala:245)
	at scala.collection.TraversableLike.flatMap$(TraversableLike.scala:242)
	at scala.collection.AbstractTraversable.flatMap(Traversable.scala:108)
	at org.apache.spark.util.Utils$.loadExtensions(Utils.scala:3004)
	at org.apache.spark.internal.plugin.PluginContainer$.apply(PluginContainer.scala:160)
	at org.apache.spark.internal.plugin.PluginContainer$.apply(PluginContainer.scala:146)
	at org.apache.spark.SparkContext.<init>(SparkContext.scala:591)
	at com.databricks.backend.daemon.driver.DatabricksILoop$.$anonfun$initializeSharedDriverContext$1(DatabricksILoop.scala:347)
	at com.databricks.backend.daemon.driver.ClassLoaders$.withContextClassLoader(ClassLoaders.scala:29)
	at com.databricks.backend.daemon.driver.DatabricksILoop$.initializeSharedDriverContext(DatabricksILoop.scala:347)
	at com.databricks.backend.daemon.driver.DatabricksILoop$.getOrCreateSharedDriverContext(DatabricksILoop.scala:277)
	at com.databricks.backend.daemon.driver.DriverCorral.com$databricks$backend$daemon$driver$DriverCorral$$driverContext(DriverCorral.scala:179)
	at com.databricks.backend.daemon.driver.DriverCorral.<init>(DriverCorral.scala:216)
	at com.databricks.backend.daemon.driver.DriverDaemon.<init>(DriverDaemon.scala:39)
	at com.databricks.backend.daemon.driver.DriverDaemon$.create(DriverDaemon.scala:211)
	at com.databricks.backend.daemon.driver.DriverDaemon$.wrappedMain(DriverDaemon.scala:216)
	at com.databricks.DatabricksMain.$anonfun$main$1(DatabricksMain.scala:106)
	at scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
	at com.databricks.DatabricksMain.$anonfun$withStartupProfilingData$1(DatabricksMain.scala:321)
	at com.databricks.logging.UsageLogging.$anonfun$recordOperation$4(UsageLogging.scala:431)
	at com.databricks.logging.UsageLogging.$anonfun$withAttributionContext$1(UsageLogging.scala:239)
	at scala.util.DynamicVariable.withValue(DynamicVariable.scala:62)
	at com.databricks.logging.UsageLogging.withAttributionContext(UsageLogging.scala:234)
	at com.databricks.logging.UsageLogging.withAttributionContext$(UsageLogging.scala:231)
	at com.databricks.DatabricksMain.withAttributionContext(DatabricksMain.scala:74)
	at com.databricks.logging.UsageLogging.withAttributionTags(UsageLogging.scala:276)
	at com.databricks.logging.UsageLogging.withAttributionTags$(UsageLogging.scala:269)
	at com.databricks.DatabricksMain.withAttributionTags(DatabricksMain.scala:74)
	at com.databricks.logging.UsageLogging.recordOperation(UsageLogging.scala:412)
	at com.databricks.logging.UsageLogging.recordOperation$(UsageLogging.scala:338)
	at com.databricks.DatabricksMain.recordOperation(DatabricksMain.scala:74)
	at com.databricks.DatabricksMain.withStartupProfilingData(DatabricksMain.scala:321)
	at com.databricks.DatabricksMain.main(DatabricksMain.scala:105)
	at com.databricks.backend.daemon.driver.DriverDaemon.main(DriverDaemon.scala)
Caused by: java.lang.ClassNotFoundException: com.protegrity.spark.PtyExecSparkPlugin
	at java.net.URLClassLoader.findClass(URLClassLoader.java:382)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:419)
	at com.databricks.backend.daemon.driver.ClassLoaders$LibraryClassLoader.loadClass(ClassLoaders.scala:151)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:352)
	at com.databricks.backend.daemon.driver.ClassLoaders$MultiReplClassLoader.loadClass(ClassLoaders.scala:112)
	... 43 more
21/11/01 13:33:02 INFO AbstractConnector: Stopped Spark@b6bccb4{HTTP/1.1,[http/1.1]}{10.88.234.70:40001}
21/11/01 13:33:02 INFO SparkUI: Stopped Spark web UI at http://10.88.234.70:40001
21/11/01 13:33:02 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
21/11/01 13:33:02 INFO MemoryStore: MemoryStore cleared
21/11/01 13:33:02 INFO BlockManager: BlockManager stopped
21/11/01 13:33:02 INFO BlockManagerMaster: BlockManagerMaster stopped
21/11/01 13:33:02 WARN MetricsSystem: Stopping a MetricsSystem that is not running
21/11/01 13:33:02 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
21/11/01 13:33:02 INFO SparkContext: Successfully stopped SparkContext

[Anonymous]

Hello @Krishna Kashiv​ - I don't know if we've met yet. My name is Piper and I'm a community moderator here. Thank you for your new question. It looks thorough!

Let's give it a while to see what our members have to say. Otherwise, we will circle back to this.

[Kaniz_Fatma · Accepted solution]

Hi @Krishna Kashiv​ , You might consider adding this as an init script (https://docs.microsoft.com/en-us/azure/databricks/clusters/init-scripts).

The init scripts give you an opportunity to add jars to the cluster before spark even begins which is probably what the spark plugin is expecting.

• Upload your jar to dbfs, somewhere like 
• dbfs:/databricks/plugins
• Create and upload a bash script like below to the same place.
• Create / Edit a cluster with the init script specified.

#!/bin/bash
 
STAGE_DIR="/dbfs/databricks/plugins/
 
echo "BEGIN: Upload Spark Plugins"
cp -f $STAGE_DIR/*.jar /mnt/driver-daemon/jars || { echo "Error copying Spark Plugin library file"; exit 1;}
echo "END: Upload Spark Plugin JARs"
 
echo "BEGIN: Modify Spark config settings"
cat << 'EOF' > /databricks/driver/conf/spark-plugin-driver-defaults.conf
[driver] {
   "spark.plugins" = "com.example.CustomExecSparkPlugin"
}
EOF
echo "END: Modify Spark config settings"

I believe the copying of the jar to /mnt/driver-daemons/jars will make Spark aware of the jar before Spark fully initializes (https://docs.microsoft.com/en-us/azure/databricks/clusters/configure#--spark-configuration).

Less certain it will make to the executor though