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ambari-log4j

log4j add-ons for Apache Ambari.

1. MapReduce JobHistory

JobHistoryAppender allows for all job statistics to be saved into a DataBase via JDBC.

Create a postgres DB of name ambari and run the table creation commands from src/main/resources/ambari.schema.

Build by running mvn clean package. Copy the resulting ambari-log4j jar from the target directory into the hadoop lib directory for the JobTracker. Also copy postgresql-9.1-902.jdbc4.jar into the hadoop lib directory for the JobTracker.

Add the following to your log4j.properties for the JobTracker, setting and as appropriate for your postgres DB. Then, when you start the JobTracker, use the following command: HADOOP_OPTS=“$HADOOP_OPTS -Dambari.jobhistory.logger=DEBUG,JHA” bin/hadoop-daemon.sh start jobtracker

JobHistory logger

ambari.jobhistory.database=jdbc:postgresql://localhost:5432/ambari ambari.jobhistory.driver=org.postgresql.Driver ambari.jobhistory.user= ambari.jobhistory.password= ambari.jobhistory.logger=${hadoop.root.logger}

log4j.appender.JHA=org.apache.ambari.log4j.hadoop.mapreduce.jobhistory.JobHistoryAppender log4j.appender.JHA.database=${ambari.jobhistory.database} log4j.appender.JHA.driver=${ambari.jobhistory.driver} log4j.appender.JHA.user=${ambari.jobhistory.user} log4j.appender.JHA.password=${ambari.jobhistory.password}

log4j.logger.org.apache.hadoop.mapred.JobHistory$JobHistoryLogger=${ambari.jobhistory.logger} log4j.additivity.org.apache.hadoop.mapred.JobHistory$JobHistoryLogger=true