mirror of https://github.com/apache/druid.git
360 lines
9.5 KiB
Markdown
360 lines
9.5 KiB
Markdown
---
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layout: doc_page
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---
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Example Production Hadoop Configuration
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=======================================
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The following configuration should work relatively well for Druid indexing and Hadoop. In the example, we are using Hadoop 2.4 with EC2 m1.xlarge nodes for NameNodes and cc2.8xlarge nodes for DataNodes.
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### Core-site.xml
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```
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<configuration>
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<!-- Temporary directory on HDFS (but also sometimes local!) -->
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<property>
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<name>hadoop.tmp.dir</name>
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<value>/mnt/persistent/hadoop</value>
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</property>
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<!-- S3 -->
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<property>
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<name>fs.defaultFS</name>
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<value>hdfs://#{IP}:9000</value>
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</property>
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<property>
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<name>fs.s3.impl</name>
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<value>org.apache.hadoop.fs.s3native.NativeS3FileSystem</value>
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</property>
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<property>
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<name>fs.s3.awsAccessKeyId</name>
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<value>#{S3_ACCESS_KEY}</value>
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</property>
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<property>
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<name>fs.s3.awsSecretAccessKey</name>
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<value>#{S3_SECRET_KEY}</value>
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</property>
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<property>
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<name>fs.s3.buffer.dir</name>
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<value>/mnt/persistent/hadoop-s3n</value>
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</property>
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<property>
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<name>fs.s3n.awsAccessKeyId</name>
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<value>#{S3N_ACCESS_KEY}</value>
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</property>
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<property>
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<name>fs.s3n.awsSecretAccessKey</name>
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<value>#{S3N_SECRET_KEY}</value>
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</property>
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<!-- Compression -->
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<property>
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<name>io.compression.codecs</name>
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<value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.Lz4Codec,org.apache.hadoop.io.compress.BZip2Codec,org.apache.hadoop.io.compress.SnappyCodec</value>
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</property>
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<!-- JBOD -->
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<property>
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<name>io.seqfile.local.dir</name>
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<value>/mnt/persistent/hadoop/io/local</value>
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</property>
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</configuration>
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```
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### Mapred-site.xml
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```
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<configuration>
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<property>
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<name>mapreduce.framework.name</name>
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<value>yarn</value>
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</property>
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<property>
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<name>mapreduce.jobtracker.address</name>
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<value>#{JT_ADDR}:9001</value>
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</property>
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<property>
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<name>mapreduce.jobtracker.http.address</name>
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<value>#{JT_HTTP_ADDR}:9100</value>
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</property>
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<property>
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<name>mapreduce.jobhistory.address</name>
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<value>#{JH_ADDR}:10020</value>
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</property>
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<property>
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<name>mapreduce.jobhistory.webapp.address</name>
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<value>#{JH_WEBAPP_ADDR}:19888</value>
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</property>
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<property>
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<name>mapreduce.tasktracker.http.address</name>
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<value>#{TT_ADDR}:9103</value>
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</property>
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<!-- Memory and concurrency tuning -->
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<property>
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<name>mapreduce.job.reduces</name>
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<value>21</value>
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</property>
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<property>
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<property>
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<name>mapreduce.job.jvm.numtasks</name>
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<value>20</value>
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</property>
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<property>
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<name>mapreduce.map.memory.mb</name>
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<value>2048</value>
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</property>
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<property>
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<name>mapreduce.map.java.opts</name>
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<value>-server -Xmx1536m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps</value>
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</property>
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<property>
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<name>mapreduce.reduce.memory.mb</name>
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<value>6144</value>
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</property>
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<property>
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<name>mapreduce.reduce.java.opts</name>
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<value>-server -Xmx2560m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps</value>
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</property>
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<property>
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<name>mapreduce.reduce.shuffle.parallelcopies</name>
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<value>50</value>
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</property>
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<property>
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<name>mapreduce.reduce.shuffle.input.buffer.percent</name>
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<value>0.5</value>
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</property>
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<property>
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<name>mapreduce.task.io.sort.mb</name>
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<value>256</value>
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</property>
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<property>
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<name>mapreduce.task.io.sort.factor</name>
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<value>100</value>
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</property>
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<property>
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<name>mapreduce.jobtracker.handler.count</name>
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<value>64</value>
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</property>
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<property>
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<name>mapreduce.tasktracker.http.threads</name>
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<value>20</value>
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</property>
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<!-- JBOD -->
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<property>
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<name>mapreduce.cluster.local.dir</name>
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<value>/mnt/persistent/hadoop/mapred/local</value>
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</property>
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<!-- Job history server persistent state -->
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<property>
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<name>mapreduce.jobhistory.recovery.enable</name>
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<value>true</value>
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</property>
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<property>
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<name>mapreduce.jobhistory.recovery.store.class</name>
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<value>org.apache.hadoop.mapreduce.v2.hs.HistoryServerFileSystemStateStoreService</value>
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</property>
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<property>
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<name>mapreduce.jobhistory.recovery.store.fs.uri</name>
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<value>file://${hadoop.tmp.dir}/mapred-jobhistory-state</value>
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</property>
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<!-- Compression -->
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<property>
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<!-- Off by default, because it breaks Druid indexing (at least, it does it druid-0.6.10+). Jobs should turn
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it on if they need it. -->
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<name>mapreduce.output.fileoutputformat.compress</name>
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<value>false</value>
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</property>
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<property>
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<name>mapreduce.map.output.compress</name>
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<value>true</value>
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</property>
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<property>
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<name>mapreduce.output.fileoutputformat.compress.type</name>
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<value>BLOCK</value>
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</property>
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<property>
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<name>mapreduce.map.output.compress.codec</name>
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<value>org.apache.hadoop.io.compress.Lz4Codec</value>
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</property>
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<property>
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<name>mapreduce.output.fileoutputformat.compress.codec</name>
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<value>org.apache.hadoop.io.compress.GzipCodec</value>
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</property>
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<!-- Speculative execution would violate various assumptions we've made in our system design -->
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<property>
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<name>mapreduce.map.speculative</name>
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<value>false</value>
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</property>
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<property>
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<name>mapreduce.reduce.speculative</name>
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<value>false</value>
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</property>
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<!-- Sometimes jobs take a long time to run, but really, they're okay. Examples: Long index persists,
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hadoop reading lots of empty files into a single mapper. Let's increase the timeout to 30 minutes. -->
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<property>
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<name>mapreduce.task.timeout</name>
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<value>1800000</value>
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</property>
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</configuration>
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```
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### Yarn-site.xml
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```
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<configuration>
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<property>
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<name>yarn.resourcemanager.hostname</name>
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<value>#{RM_HOSTNAME}</value>
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</property>
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<property>
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<name>yarn.resourcemanager.scheduler.class</name>
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<value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
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</property>
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<property>
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<name>yarn.nodemanager.aux-services</name>
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<value>mapreduce_shuffle</value>
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</property>
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<property>
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<name>yarn.log-aggregation-enable</name>
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<value>true</value>
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</property>
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<property>
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<name>yarn.log.server.url</name>
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<value>http://#{IP_LOG_SERVER}:19888/jobhistory/logs/</value>
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</property>
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<property>
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<name>yarn.nodemanager.hostname</name>
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<value>#{IP_ADDR}</value>
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</property>
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<property>
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<name>yarn.scheduler.minimum-allocation-mb</name>
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<value>512</value>
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</property>
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<property>
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<name>yarn.nodemanager.resource.memory-mb</name>
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<value>1024</value>
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</property>
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<property>
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<name>yarn.nodemanager.resource.cpu-vcores</name>
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<value>1</value>
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</property>
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<property>
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<name>yarn.nodemanager.vmem-check-enabled</name>
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<value>false</value>
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</property>
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<!-- JBOD -->
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<property>
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<name>yarn.nodemanager.local-dirs</name>
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<value>/mnt/persistent/hadoop/nm-local-dir</value>
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</property>
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<!-- ResourceManager persistent state doesn't work well in tests yet, so disable it -->
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<property>
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<name>yarn.resourcemanager.recovery.enabled</name>
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<value>false</value>
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</property>
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<property>
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<name>yarn.resourcemanager.store.class</name>
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<value>org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore</value>
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</property>
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<property>
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<name>yarn.resourcemanager.fs.state-store.uri</name>
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<value>file://${hadoop.tmp.dir}/yarn-resourcemanager-state</value>
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</property>
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<!-- Ability to exclude hosts -->
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<property>
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<name>yarn.resourcemanager.nodes.exclude-path</name>
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<value>/mnt/persistent/hadoop/yarn-exclude.txt</value>
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</property>
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</configuration>
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```
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### HDFS-site.xml
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```
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<configuration>
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<property>
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<name>dfs.replication</name>
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<value>3</value>
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</property>
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<property>
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<name>dfs.namenode.datanode.registration.ip-hostname-check</name>
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<value>false</value>
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</property>
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<property>
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<name>dfs.hosts.exclude</name>
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<value>/mnt/persistent/hadoop/hdfs-exclude.txt</value>
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</property>
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<!-- JBOD -->
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<property>
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<name>dfs.datanode.data.dir</name>
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<value>file:///mnt/persistent/hadoop/dfs/data</value>
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</property>
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</configuration>
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```
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### Capacity-scheduler.xml
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```
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<configuration>
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<property>
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<name>yarn.scheduler.capacity.maximum-am-resource-percent</name>
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<value>0.1</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.queues</name>
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<value>default</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.capacity</name>
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<value>100</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.user-limit-factor</name>
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<value>1</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.queues</name>
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<value>default</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.maximum-capacity</name>
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<value>100</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.state</name>
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<value>RUNNING</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.acl_submit_applications</name>
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<value>*</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.root.default.acl_administer_queue</name>
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<value>*</value>
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</property>
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<property>
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<name>yarn.scheduler.capacity.node-locality-delay</name>
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<value>-1</value>
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</property>
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</configuration>
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``` |