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Spark Tips and Tricks

Print Launch Command of Spark Scripts

SPARK_PRINT_LAUNCH_COMMAND environment variable controls whether the Spark launch command is printed out to the standard error output, i.e. System.err, or not.

Spark Command: [here comes the command]
========================================

All the Spark shell scripts use org.apache.spark.launcher.Main class internally that checks SPARK_PRINT_LAUNCH_COMMAND and when set (to any value) will print out the entire command line to launch it.

$ SPARK_PRINT_LAUNCH_COMMAND=1 ./bin/spark-shell
Spark Command: /Library/Java/JavaVirtualMachines/Current/Contents/Home/bin/java -cp /Users/jacek/dev/oss/spark/conf/:/Users/jacek/dev/oss/spark/assembly/target/scala-2.11/spark-assembly-1.6.0-SNAPSHOT-hadoop2.7.1.jar:/Users/jacek/dev/oss/spark/lib_managed/jars/datanucleus-api-jdo-3.2.6.jar:/Users/jacek/dev/oss/spark/lib_managed/jars/datanucleus-core-3.2.10.jar:/Users/jacek/dev/oss/spark/lib_managed/jars/datanucleus-rdbms-3.2.9.jar -Dscala.usejavacp=true -Xms1g -Xmx1g org.apache.spark.deploy.SparkSubmit --master spark://localhost:7077 --class org.apache.spark.repl.Main --name Spark shell spark-shell
========================================

Show Spark version in Spark shell

In spark-shell, use sc.version or org.apache.spark.SPARK_VERSION to know the Spark version:

scala> sc.version
res0: String = 1.6.0-SNAPSHOT

scala> org.apache.spark.SPARK_VERSION
res1: String = 1.6.0-SNAPSHOT

Resolving local host name

When you face networking issues when Spark can’t resolve your local hostname or IP address, use the preferred SPARK_LOCAL_HOSTNAME environment variable as the custom host name or SPARK_LOCAL_IP as the custom IP that is going to be later resolved to a hostname.

You may see the following WARN messages in the logs when Spark finished the resolving process:

WARN Your hostname, [hostname] resolves to a loopback address: [host-address]; using...
WARN Set SPARK_LOCAL_IP if you need to bind to another address

Starting standalone Master and workers on Windows 7

Windows 7 users can use spark-class to start Spark Standalone as there are no launch scripts for the Windows platform.

$ ./bin/spark-class org.apache.spark.deploy.master.Master -h localhost
$ ./bin/spark-class org.apache.spark.deploy.worker.Worker spark://localhost:7077