livy/docker/idctest/conf/mapred-site.xml

<?xml version="1.0" encoding="UTF-8"?>

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>mapreduce.job.split.metainfo.maxsize</name>
    <value>10000000</value>
  </property>
  <property>
    <name>mapreduce.job.counters.max</name>
    <value>120</value>
  </property>
  <property>
    <name>mapreduce.job.counters.groups.max</name>
    <value>50</value>
  </property>
  <property>
    <name>mapreduce.output.fileoutputformat.compress</name>
    <value>false</value>
  </property>
  <property>
    <name>mapreduce.output.fileoutputformat.compress.type</name>
    <value>BLOCK</value>
  </property>
  <property>
    <name>mapreduce.output.fileoutputformat.compress.codec</name>
    <value>org.apache.hadoop.io.compress.DefaultCodec</value>
  </property>
  <property>
    <name>mapreduce.map.output.compress.codec</name>
    <value>org.apache.hadoop.io.compress.SnappyCodec</value>
  </property>
  <property>
    <name>mapreduce.map.output.compress</name>
    <value>true</value>
  </property>
  <property>
    <name>zlib.compress.level</name>
    <value>DEFAULT_COMPRESSION</value>
  </property>
  <property>
    <name>mapreduce.task.io.sort.factor</name>
    <value>64</value>
  </property>
  <property>
    <name>mapreduce.map.sort.spill.percent</name>
    <value>0.8</value>
  </property>
  <property>
    <name>mapreduce.reduce.shuffle.parallelcopies</name>
    <value>10</value>
  </property>
  <property>
    <name>mapreduce.task.timeout</name>
    <value>600000</value>
  </property>
  <property>
    <name>mapreduce.client.submit.file.replication</name>
    <value>3</value>
  </property>
  <property>
    <name>mapreduce.job.reduces</name>
    <value>256</value>
  </property>
  <property>
    <name>mapreduce.task.io.sort.mb</name>
    <value>256</value>
  </property>
  <property>
    <name>mapreduce.map.speculative</name>
    <value>false</value>
  </property>
  <property>
    <name>mapreduce.reduce.speculative</name>
    <value>false</value>
  </property>
  <property>
    <name>mapreduce.job.reduce.slowstart.completedmaps</name>
    <value>0.8</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.address</name>
    <value>cdhtestnm02.yili.com:10020</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>cdhtestnm02.yili.com:19888</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.webapp.https.address</name>
    <value>cdhtestnm02.yili.com:19890</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.admin.address</name>
    <value>cdhtestnm02.yili.com:10033</value>
  </property>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.staging-dir</name>
    <value>/user</value>
  </property>
  <property>
    <name>mapreduce.am.max-attempts</name>
    <value>2</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.resource.mb</name>
    <value>1024</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.resource.cpu-vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>mapreduce.job.ubertask.enable</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.command-opts</name>
    <value>-Djava.net.preferIPv4Stack=true -Xmx825955249</value>
  </property>
  <property>
    <name>mapreduce.map.java.opts</name>
    <value>-Djava.net.preferIPv4Stack=true</value>
  </property>
  <property>
    <name>mapreduce.reduce.java.opts</name>
    <value>-Djava.net.preferIPv4Stack=true</value>
  </property>
  <property>
    <name>yarn.app.mapreduce.am.admin.user.env</name>
    <value>LD_LIBRARY_PATH=$HADOOP_COMMON_HOME/lib/native:$JAVA_LIBRARY_PATH</value>
  </property>
  <property>
    <name>mapreduce.map.memory.mb</name>
    <value>4096</value>
  </property>
  <property>
    <name>mapreduce.map.cpu.vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>4096</value>
  </property>
  <property>
    <name>mapreduce.reduce.cpu.vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>mapreduce.job.heap.memory-mb.ratio</name>
    <value>0.8</value>
  </property>
  <property>
    <name>mapreduce.application.classpath</name>
    <value>$HADOOP_CLIENT_CONF_DIR,$PWD/mr-framework/*,$MR2_CLASSPATH</value>
  </property>
  <property>
    <name>mapreduce.application.framework.path</name>
    <value>hdfs://nameservice1//user/yarn/mapreduce/mr-framework/3.0.0-cdh6.3.2-mr-framework.tar.gz#mr-framework</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.jhist.format</name>
    <value>binary</value>
  </property>
  <property>
    <name>mapreduce.admin.user.env</name>
    <value>LD_LIBRARY_PATH=$HADOOP_COMMON_HOME/lib/native:$JAVA_LIBRARY_PATH</value>
  </property>
  <property>
    <name>mapreduce.job.redacted-properties</name>
    <value>fs.s3a.access.key,fs.s3a.secret.key,fs.adl.oauth2.credential,dfs.adls.oauth2.credential,fs.azure.account.oauth2.client.secret</value>
  </property>
  <property>
    <name>mapreduce.job.acl-view-job</name>
    <value> </value>
  </property>
  <property>
    <name>mapreduce.job.acl-modify-job</name>
    <value> </value>
  </property>
  <property>
    <name>mapreduce.cluster.acls.enabled</name>
    <value>false</value>
  </property>
</configuration>