Spark uses log4j for logging.

Logging Levels

The valid logging levels are log4j’s Levels (from most specific to least):

  • OFF (most specific, no logging)

  • FATAL (most specific, little data)


  • WARN

  • INFO


  • TRACE (least specific, a lot of data)

  • ALL (least specific, all data)


You can set up the default logging for Spark shell in conf/log4j.properties. Use conf/log4j.properties.template as a starting point.

Setting Default Log Level Programatically

Setting Log Levels in Spark Applications

In standalone Spark applications or while in Spark Shell session, use the following:

import org.apache.log4j.{Level, Logger}



When running a Spark application from within sbt using run task, you can use the following build.sbt to configure logging levels:

fork in run := true
javaOptions in run ++= Seq(
outputStrategy := Some(StdoutOutput)

With the above configuration log4j.properties file should be on CLASSPATH which can be in src/main/resources directory (that is included in CLASSPATH by default).

When run starts, you should see the following output in sbt:

[spark-activator]> run
[info] Running StreamingApp
log4j: Trying to find [log4j.properties] using context classloader [email protected]
log4j: Using URL [file:/Users/jacek/dev/oss/spark-activator/target/scala-2.11/classes/log4j.properties] for automatic log4j configuration.
log4j: Reading configuration from URL file:/Users/jacek/dev/oss/spark-activator/target/scala-2.11/classes/log4j.properties

Disabling Logging

Use the following conf/log4j.properties to disable logging completely:


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