# Copyright 2011 The Apache Software Foundation
# 
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# Define some default values that can be overridden by system properties
#hadoop.root.logger=INFO,console
{% if hadoop_send_to_logstash %}
hadoop.root.logger={{ hadoop_log_level }},{{ hadoop_logstash_appender }}
{% else %}
hadoop.root.logger={{ hadoop_log_level }},{{ hadoop_log_appender }}
{% endif %}
hadoop.log.dir=.
hadoop.log.file=hadoop.log

# Define the root logger to the system property "hadoop.root.logger".
log4j.rootLogger=${hadoop.root.logger}, EventCounter

# Logging Threshold
log4j.threshold=ALL

# Null Appender
log4j.appender.NullAppender=org.apache.log4j.varia.NullAppender

#
# Rolling File Appender - cap space usage at 5gb.
#
hadoop.log.maxfilesize={{ hadoop_log_appender_max_filesize }}
hadoop.log.maxbackupindex={{ hadoop_log_appender_max_backupindex }}
log4j.appender.RFA=org.apache.log4j.RollingFileAppender
log4j.appender.RFA.File=${hadoop.log.dir}/${hadoop.log.file}

log4j.appender.RFA.MaxFileSize=${hadoop.log.maxfilesize}
log4j.appender.RFA.MaxBackupIndex=${hadoop.log.maxbackupindex}

log4j.appender.RFA.layout=org.apache.log4j.PatternLayout

# Pattern format: Date LogLevel LoggerName LogMessage
log4j.appender.RFA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
# Debugging Pattern format
#log4j.appender.RFA.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n


#
# Daily Rolling File Appender
#

log4j.appender.DRFA=org.apache.log4j.RollingFileAppender
log4j.appender.DRFA.File=${hadoop.log.dir}/${hadoop.log.file}

# Rollver at midnight
#log4j.appender.DRFA.DatePattern=.yyyy-MM-dd

log4j.appender.DRFA.MaxFileSize=${hadoop.log.maxfilesize}
log4j.appender.DRFA.MaxBackupIndex=${hadoop.log.maxbackupindex}

log4j.appender.DRFA.layout=org.apache.log4j.PatternLayout

# Pattern format: Date LogLevel LoggerName LogMessage
log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
# Debugging Pattern format
#log4j.appender.DRFA.layout.ConversionPattern=%d{ISO8601} %-5p %c{2} (%F:%M(%L)) - %m%n


#
# console
# Add "console" to rootlogger above if you want to use this 
#

log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{2}: %m%n

#
# TaskLog Appender
#

#Default values
hadoop.tasklog.taskid=null
hadoop.tasklog.iscleanup=false
hadoop.tasklog.noKeepSplits=4
hadoop.tasklog.totalLogFileSize=100
hadoop.tasklog.purgeLogSplits=true
hadoop.tasklog.logsRetainHours=12

log4j.appender.TLA=org.apache.hadoop.mapred.TaskLogAppender
log4j.appender.TLA.taskId=${hadoop.tasklog.taskid}
log4j.appender.TLA.isCleanup=${hadoop.tasklog.iscleanup}
log4j.appender.TLA.totalLogFileSize=${hadoop.tasklog.totalLogFileSize}

log4j.appender.TLA.layout=org.apache.log4j.PatternLayout
log4j.appender.TLA.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n

#
# HDFS block state change log from block manager
#
# Uncomment the following to suppress normal block state change
# messages from BlockManager in NameNode.
#log4j.logger.BlockStateChange=WARN

#
#Security appender
#
#hadoop.security.logger={{ hadoop_log_level }},NullAppender
hadoop.security.logger={{ hadoop_log_level }},RFAS
hadoop.security.log.maxfilesize=64MB
hadoop.security.log.maxbackupindex=4
log4j.category.SecurityLogger=${hadoop.security.logger}
hadoop.security.log.file=SecurityAuth-${user.name}.audit
log4j.appender.RFAS=org.apache.log4j.RollingFileAppender 
log4j.appender.RFAS.File=${hadoop.log.dir}/${hadoop.security.log.file}
log4j.appender.RFAS.layout=org.apache.log4j.PatternLayout
log4j.appender.RFAS.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
log4j.appender.RFAS.MaxFileSize=${hadoop.security.log.maxfilesize}
log4j.appender.RFAS.MaxBackupIndex=${hadoop.security.log.maxbackupindex}

#
# (fake) Daily Rolling Security appender
#
log4j.appender.DRFAS=org.apache.log4j.RollingFileAppender 
log4j.appender.DRFAS.File=${hadoop.log.dir}/${hadoop.security.log.file}
log4j.appender.DRFAS.layout=org.apache.log4j.PatternLayout
log4j.appender.DRFAS.layout.ConversionPattern=%d{ISO8601} %p %c: %m%n
#log4j.appender.DRFAS.DatePattern=.yyyy-MM-dd
log4j.appender.DRFAS.MaxFileSize=${hadoop.security.log.maxfilesize}
log4j.appender.DRFAS.MaxBackupIndex=${hadoop.security.log.maxbackupindex}

#
# hdfs audit logging
#
hdfs.audit.logger={{ hadoop_log_level }},RFAAUDIT
hdfs.audit.log.maxfilesize=64MB
hdfs.audit.log.maxbackupindex=4
log4j.logger.org.apache.hadoop.hdfs.server.namenode.FSNamesystem.audit=${hdfs.audit.logger}
log4j.additivity.org.apache.hadoop.hdfs.server.namenode.FSNamesystem.audit=false
log4j.appender.RFAAUDIT=org.apache.log4j.RollingFileAppender
log4j.appender.RFAAUDIT.File=${hadoop.log.dir}/hdfs-audit.log
log4j.appender.RFAAUDIT.layout=org.apache.log4j.PatternLayout
log4j.appender.RFAAUDIT.layout.ConversionPattern=%d{ISO8601} %p %c{2}: %m%n
log4j.appender.RFAAUDIT.MaxFileSize=${hdfs.audit.log.maxfilesize}
log4j.appender.RFAAUDIT.MaxBackupIndex=${hdfs.audit.log.maxbackupindex}

#
# mapred audit logging
#
mapred.audit.logger={{ hadoop_log_level }},MRAUDIT
mapred.audit.log.maxfilesize=64MB
mapred.audit.log.maxbackupindex=4
log4j.logger.org.apache.hadoop.mapred.AuditLogger=${mapred.audit.logger}
log4j.additivity.org.apache.hadoop.mapred.AuditLogger=false
log4j.appender.MRAUDIT=org.apache.log4j.RollingFileAppender
log4j.appender.MRAUDIT.File=${hadoop.log.dir}/mapred-audit.log
log4j.appender.MRAUDIT.layout=org.apache.log4j.PatternLayout
log4j.appender.MRAUDIT.layout.ConversionPattern=%d{ISO8601} %p %c{2}: %m%n
log4j.appender.MRAUDIT.MaxFileSize=${mapred.audit.log.maxfilesize}
log4j.appender.MRAUDIT.MaxBackupIndex=${mapred.audit.log.maxbackupindex}

# Custom Logging levels

log4j.logger.org.apache.hadoop.mapred.JobTracker={{ hadoop_log_level }}
log4j.logger.org.apache.hadoop.mapred.TaskTracker={{ hadoop_log_level }}
log4j.logger.org.apache.hadoop.hdfs.server.namenode.FSNamesystem.audit={{ hadoop_log_level }}

# Jets3t library
log4j.logger.org.jets3t.service.impl.rest.httpclient.RestS3Service=ERROR

#
# Event Counter Appender
# Sends counts of logging messages at different severity levels to Hadoop Metrics.
#
log4j.appender.EventCounter=org.apache.hadoop.log.metrics.EventCounter

#
# Job Summary Appender 
#
# Use following logger to send summary to separate file defined by 
# hadoop.mapreduce.jobsummary.log.file :
# hadoop.mapreduce.jobsummary.logger={{ hadoop_log_level }},JSA
# 
hadoop.mapreduce.jobsummary.logger=${hadoop.root.logger}
hadoop.mapreduce.jobsummary.log.file=hadoop-mapreduce.jobsummary.log
hadoop.mapreduce.jobsummary.log.maxfilesize=256MB
hadoop.mapreduce.jobsummary.log.maxbackupindex=20
log4j.appender.JSA=org.apache.log4j.RollingFileAppender
log4j.appender.JSA.File=${hadoop.log.dir}/${hadoop.mapreduce.jobsummary.log.file}
log4j.appender.JSA.MaxFileSize=${hadoop.mapreduce.jobsummary.log.maxfilesize}
log4j.appender.JSA.MaxBackupIndex=${hadoop.mapreduce.jobsummary.log.maxbackupindex}
log4j.appender.JSA.layout=org.apache.log4j.PatternLayout
log4j.appender.JSA.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{2}: %m%n
log4j.logger.org.apache.hadoop.mapred.JobInProgress$JobSummary=${hadoop.mapreduce.jobsummary.logger}
log4j.additivity.org.apache.hadoop.mapred.JobInProgress$JobSummary=false

#
# Yarn ResourceManager Application Summary Log 
#
# Set the ResourceManager summary log filename
#yarn.server.resourcemanager.appsummary.log.file=rm-appsummary.log
# Set the ResourceManager summary log level and appender
#yarn.server.resourcemanager.appsummary.logger={{ hadoop_log_level }},RMSUMMARY

# Appender for ResourceManager Application Summary Log
# Requires the following properties to be set
#    - hadoop.log.dir (Hadoop Log directory)
#    - yarn.server.resourcemanager.appsummary.log.file (resource manager app summary log filename)
#    - yarn.server.resourcemanager.appsummary.logger (resource manager app summary log level and appender)

#log4j.logger.org.apache.hadoop.yarn.server.resourcemanager.RMAppManager$ApplicationSummary=${yarn.server.resourcemanager.appsummary.logger}
#log4j.additivity.org.apache.hadoop.yarn.server.resourcemanager.RMAppManager$ApplicationSummary=false
#log4j.appender.RMSUMMARY=org.apache.log4j.RollingFileAppender
#log4j.appender.RMSUMMARY.File=${hadoop.log.dir}/${yarn.server.resourcemanager.appsummary.log.file}
#log4j.appender.RMSUMMARY.MaxFileSize=256MB
#log4j.appender.RMSUMMARY.MaxBackupIndex=20
#log4j.appender.RMSUMMARY.layout=org.apache.log4j.PatternLayout
#log4j.appender.RMSUMMARY.layout.ConversionPattern=%d{ISO8601} %p %c{2}: %m%n

{% if hadoop_send_to_logstash %}
log4j.appender.LOGSTASH=org.apache.log4j.net.SocketAppender
log4j.appender.LOGSTASH.remoteHost={{ hadoop_logstash_collector_host }}
log4j.appender.LOGSTASH.port={{ hadoop_logstash_collector_socketappender_port }}
log4j.appender.LOGSTASH.ReconnectionDelay={{ hadoop_logstash_collector_socketappender_reconndelay }}
log4j.appender.LOGSTASH.LocationInfo=true
log4j.appender.LOGSTASH.layout = org.apache.log4j.PatternLayout
log4j.appender.LOGSTASH.layout.ConversionPattern = %d [%t] %-5p %c- %m%n
{% endif %}
