log4j.logger.org.apache.spark.scheduler.EventLoggingListener=INFOPersisting Events using EventLoggingListener
EventLoggingListener is a SparkListener that persists JSON-encoded events to a file.
When event logging is enabled, EventLoggingListener writes events to a log file under spark.eventLog.dir directory. All Spark events are logged (except SparkListenerBlockUpdated and SparkListenerExecutorMetricsUpdate).
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Tip
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Use Spark History Server to view the event logs in a browser. |
Events can optionally be compressed.
In-flight log files are with .inprogress extension.
EventLoggingListener is a private[spark] class in org.apache.spark.scheduler package.
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Tip
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Enable Add the following line to Refer to Logging. |
Creating EventLoggingListener Instance
EventLoggingListener requires an application id (appId), the application’s optional attempt id (appAttemptId), logBaseDir, a SparkConf (as sparkConf) and Hadoop’s Configuration (as hadoopConf).
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Note
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When initialized with no Hadoop’s Configuration it calls SparkHadoopUtil.get.newConfiguration(sparkConf).
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Starting EventLoggingListener — start method
start(): Unitstart checks whether logBaseDir is really a directory, and if it is not, it throws a IllegalArgumentException with the following message:
Log directory [logBaseDir] does not exist.The log file’s working name is created based on appId with or without the compression codec used and appAttemptId, i.e. local-1461696754069. It also uses .inprogress extension.
If overwrite is enabled, you should see the WARN message:
WARN EventLoggingListener: Event log [path] already exists. Overwriting...The working log .inprogress is attempted to be deleted. In case it could not be deleted, the following WARN message is printed out to the logs:
WARN EventLoggingListener: Error deleting [path]The buffered output stream is created with metadata with Spark’s version and SparkListenerLogStart class' name as the first line.
{"Event":"SparkListenerLogStart","Spark Version":"2.0.0-SNAPSHOT"}At this point, EventLoggingListener is ready for event logging and you should see the following INFO message in the logs:
INFO EventLoggingListener: Logging events to [logPath]|
Note
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start is executed while SparkContext is created.
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Logging Event as JSON — logEvent method
logEvent(event: SparkListenerEvent, flushLogger: Boolean = false)logEvent logs event as JSON using org.apache.spark.util.JsonProtocol object.
Stopping EventLoggingListener — stop method
stop(): Unitstop closes PrintWriter for the log file and renames the file to be without .inprogress extension.
If the target log file exists (one without .inprogress extension), it overwrites the file if spark.eventLog.overwrite is enabled. You should see the following WARN message in the logs:
WARN EventLoggingListener: Event log [target] already exists. Overwriting...If the target log file exists and overwrite is disabled, an java.io.IOException is thrown with the following message:
Target log file already exists ([logPath])|
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stop is executed while SparkContext is stopped.
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Compressing Logged Events
If event compression is enabled, CompressionCodec.createCodec(sparkConf) is called to create a compression codec using a short codec name or the fully-qualified class name of a codec.
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Tip
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Read Compression to learn about the built-in compression codecs. |
Settings
| Spark Property | Default Value | Description |
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Enables ( |
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Directory where events are logged, e.g. The directory must exist before Spark starts up. |
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Size of the buffer to use when writing to output streams. |
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Enables ( |
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Enables ( |
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Internal flag for testing purposes that enables adding JSON events to the internal |