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The contents on this page are currently under review!
Carbon logs in WSO2 DAS
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When you run WSO2 DAS in a clustered set up, information relating to the Spark workers in the cluster are logged by default in the <DAS_HOME>/work directory. These spark logs are generated in addition to the default Carbon logs, Audit logs and logs, HTTP access logs, and Trace logs that are available for every WSO2 product. See Managing Logs in the WSO2 Administration Guide for information on Carbon logs, AuditAudit logs, logs and HTTP access logs.
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logs
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, and Trace logs.
The following sections explain how to configure and manage Spark worker logs. Each time we start a DAS server, a spark application will be created, and the relevant 'stderr' and 'stdout' logs can be found in each application folder inside the <DAS_HOME>/work directory. These spark logs are configured in the spark-defaults.conf file (stored in the <DAS_HOME>/repository/conf/analytics/spark directory).
Managing the size of spark log
By default, a spark log will be a maximum of 10MBs in size. The maximum size of a log file and the number of executor logs can be controlled using the following two properties in the spark-defaults.conf file.
| Code Block |
|---|
spark.executor.logs.rolling.maxSize10000000maxSize 10000000 spark.executor.logs.rolling.maxRetainedFiles10maxRetainedFiles 10 |
Removing logs in WSO2 DAS servers
Follow the guidelines given below for managing Spark logs in WSO2 DAS servers.
Delete old content from the
<DAS-HOME>/workdirectory for non-running nodes in of WSO2 DAS. Since new directories will be created each time we start the server, the previous data will be unusable after the restart.Be When you delete index data from Spark logs, be sure to purge data stored in DAS, instead of deleting log files. Data the data stored in the
<DAS_HOME>/repository/datadirectory. Purging data using this method will remove the index data from the database as well as index data stored in the the<DAS_HOME>/repository/datadirectory will be purged. Log files are required to be managed in the log4j level.