Configuring Spark logging options
You can configure Spark logging options for the Spark logs.
Log directories
The Spark logging directory is the directory where the Spark components store individual log files. DataStax Enterprise places logs in the following locations:
- Executor logs
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<SPARK_WORKER_DIR>/worker-<n>/<application_id>/<executor_id>/stderr -
<SPARK_WORKER_DIR>/worker-<n>/<application_id>/<executor_id>/stdout
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- Spark Master/Worker logs
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Spark Master: the global
system.logSpark Worker:
<SPARK_WORKER_LOG_DIR>/worker-<n>/worker.logThe default
<SPARK_WORKER_LOG_DIR>location is/var/log/spark/worker. - Default log directory for Spark SQL Thrift server
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The default log directory for starting the Spark SQL Thrift server is
$HOME/spark-thrift-server. - AlwaysOn SQL server
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<ALWAYSON_SQL_LOG_DIR>/service.logThe default
<ALWAYSON_SQL_LOG_DIR>location is/var/log/spark/alwayson_sql/. - Spark Shell and application logs
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Spark Shell and application logs are output to the console.
- SparkR shell log
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The default location for the SparkR shell is $HOME/.sparkR.log
- Log configuration file
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Log configuration files are located in the same directory as
spark-env.sh.
Procedure
To configure Spark logging options:
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Configure logging options, such as log levels, in the following files:
Option Description Executors
logback-spark-executor.xmlSpark Master
logback.xmlSpark Worker
logback-spark-server.xmlSpark Driver (Spark Shell, Spark applications)
logback-spark.xmlSparkR
logback-sparkR.xml -
If you want to enable rolling logging for Spark executors, add the following options to
spark-daemon-defaults.conf.Enable rolling logging with 3 log files retained before deletion. The log files are broken up by size with a maximum size of 50,000 bytes.
spark.executor.logs.rolling.maxRetainedFiles 3 spark.executor.logs.rolling.strategy size spark.executor.logs.rolling.maxSize 50000
The default location of the Spark configuration files depends on the type of installation:
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Package installations:
/etc/dse/spark/ -
Tarball installations:
<installation_location>/resources/spark/conf
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Configure a safe communication channel to access the Spark user interface.
When user credentials are specified in plain text on the dse command line, like
dse -u <username> -p <password>, the credentials are present in the logs of Spark workers when the driver is run in cluster mode.The Spark Master, Spark Worker, executor, and driver logs might include sensitive information. Sensitive information includes passwords and digest authentication tokens for Kerberos guidelines mode that are passed in the command line or Spark configuration. DataStax recommends using only safe communication channels like VPN and SSH to access the Spark user interface.
You can provide authentication credentials in several ways, see Credentials for authentication.
