mirror of https://github.com/apache/druid.git
remove bad docs on setting up clusters (#3188)
This commit is contained in:
Fangjin Yang
Himanshu
parent
99844dfeb5
commit
8eeae2e844
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@ -1,360 +0,0 @@
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---
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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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```
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@ -1,404 +0,0 @@
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---
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layout: doc_page
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---
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Production Cluster Configuration
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================================
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<div class="note info">
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This configuration is an example of what a production cluster could look like. Many other hardware combinations are
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possible! Cheaper hardware is absolutely possible.
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</div>
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This production Druid cluster assumes that metadata storage and Zookeeper are already set up. The deep storage that is
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used for examples is [S3](https://aws.amazon.com/s3/) and [memcached](http://memcached.org/) is used for a distributed cache.
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<div class="note info">
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The nodes in this example do not need to be on their own individual servers. Overlord and Coordinator nodes should be
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co-located on the same hardware.
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</div>
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The nodes that respond to queries (Historical, Broker, and MiddleManager nodes) will use as many cores as are available,
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depending on usage, so it is best to keep these on dedicated machines. The upper limit of effectively utilized cores is
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not well characterized yet and would depend on types of queries, query load, and the schema. Historical daemons should
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have a heap size of at least 1GB per core for normal usage, but could be squeezed into a smaller heap for testing.
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Since in-memory caching is essential for good performance, even more RAM is better.
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Broker nodes will use RAM for caching, so they do more than just route queries.
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SSDs are highly recommended for Historical nodes when all they have more segments loaded than available memory.
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The nodes that are responsible for coordination (Coordinator and Overlord nodes) require much less processing.
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The effective utilization of cores by Zookeeper, metadata storage, and Coordinator nodes is likely to be between 1 and 2
|
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for each process/daemon, so these could potentially share a machine with lots of cores. These daemons work with heap
|
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size between 500MB and 1GB.
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We'll use [EC2](https://aws.amazon.com/ec2/) r3.8xlarge nodes for query facing nodes and m1.xlarge nodes for coordination nodes.
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The following examples work relatively well in production, however, a more optimized tuning for the nodes we selected and
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more optimal hardware for a Druid cluster are both definitely possible.
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<div class="note caution">
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For high availability, there should be at least a redundant copy of every process running on separate hardware.
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</div>
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### Common Configuration (common.runtime.properties)
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```
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# Extensions
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druid.extensions.loadList=["druid-s3-extensions", "druid-histogram", "mysql-metadata-storage"]
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# Zookeeper
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druid.zk.service.host=#{ZK_IPs}
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druid.zk.paths.base=/druid/prod
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druid.discovery.curator.path=/prod/discovery
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# Request logging, monitoring, and metrics
|
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druid.request.logging.type=emitter
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druid.request.logging.feed=druid_requests
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druid.monitoring.monitors=["com.metamx.metrics.JvmMonitor"]
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druid.emitter=http
|
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druid.emitter.http.recipientBaseUrl=#{EMITTER_URL}
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# Metadata storage
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druid.metadata.storage.type=mysql
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druid.metadata.storage.connector.connectURI=jdbc:mysql://#{MYSQL_URL}:3306/druid?characterEncoding=UTF-8
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druid.metadata.storage.connector.user=#{MYSQL_USER}
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druid.metadata.storage.connector.password=#{MYSQL_PW}
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# Deep storage
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druid.storage.type=s3
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druid.s3.accessKey=#{S3_ACCESS_KEY}
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druid.s3.secretKey=#{S3_SECRET_KEY}
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# Caching
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druid.cache.type=memcached
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druid.cache.hosts=#{MEMCACHED_IPS}
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druid.cache.expiration=2147483647
|
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druid.cache.memcachedPrefix=d1
|
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druid.cache.maxOperationQueueSize=1073741824
|
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druid.cache.readBufferSize=10485760
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|
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# Indexing Service Service Discovery
|
||||
druid.selectors.indexing.serviceName=druid/overlord
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|
||||
# Coordinator Service Discovery
|
||||
druid.selectors.coordinator.serviceName=druid/prod/coordinator
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||||
```
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|
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### Overlord Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
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io.druid.cli.Main server overlord
|
||||
```
|
||||
|
||||
Hardware:
|
||||
|
||||
```
|
||||
m1.xlarge (Cores: 4, Memory: 15.0 GB)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx4g
|
||||
-Xms4g
|
||||
-XX:NewSize=256m
|
||||
-XX:MaxNewSize=256m
|
||||
-XX:+UseConcMarkSweepGC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/overlord
|
||||
|
||||
# Only required if you are autoscaling middle managers
|
||||
druid.indexer.autoscale.doAutoscale=true
|
||||
druid.indexer.autoscale.strategy=ec2
|
||||
druid.indexer.autoscale.workerIdleTimeout=PT90m
|
||||
druid.indexer.autoscale.terminatePeriod=PT5M
|
||||
druid.indexer.autoscale.workerVersion=#{WORKER_VERSION}
|
||||
|
||||
# Upload all task logs to deep storage
|
||||
druid.indexer.logs.type=s3
|
||||
druid.indexer.logs.s3Bucket=druid
|
||||
druid.indexer.logs.s3Prefix=prod/logs/v1
|
||||
|
||||
# Run in remote mode
|
||||
druid.indexer.runner.type=remote
|
||||
druid.indexer.runner.minWorkerVersion=#{WORKER_VERSION}
|
||||
|
||||
# Store all task state in the metadata storage
|
||||
druid.indexer.storage.type=metadata
|
||||
```
|
||||
|
||||
### MiddleManager Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
||||
io.druid.cli.Main server middleManager
|
||||
```
|
||||
|
||||
Hardware:
|
||||
|
||||
```
|
||||
r3.8xlarge (Cores: 32, Memory: 244 GB, SSD)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx64m
|
||||
-Xms64m
|
||||
-XX:+UseConcMarkSweepGC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/middlemanager
|
||||
|
||||
# Store task logs in deep storage
|
||||
druid.indexer.logs.type=s3
|
||||
druid.indexer.logs.s3Bucket=#{LOGS_BUCKET}
|
||||
druid.indexer.logs.s3Prefix=prod/logs/v1
|
||||
|
||||
# Resources for peons
|
||||
druid.indexer.runner.javaOpts=-server -Xmx3g -XX:+UseG1GC -XX:MaxGCPauseMillis=100 -XX:+PrintGCDetails -XX:+PrintGCTimeStamps
|
||||
druid.indexer.task.baseTaskDir=/mnt/persistent/task/
|
||||
|
||||
# Peon properties
|
||||
druid.indexer.fork.property.druid.monitoring.monitors=["com.metamx.metrics.JvmMonitor"]
|
||||
druid.indexer.fork.property.druid.processing.buffer.sizeBytes=536870912
|
||||
druid.indexer.fork.property.druid.processing.numThreads=2
|
||||
druid.indexer.fork.property.druid.segmentCache.locations=[{"path": "/mnt/persistent/zk_druid", "maxSize": 0}]
|
||||
druid.indexer.fork.property.druid.server.http.numThreads=50
|
||||
druid.indexer.fork.property.druid.storage.archiveBaseKey=prod
|
||||
druid.indexer.fork.property.druid.storage.archiveBucket=aws-prod-druid-archive
|
||||
druid.indexer.fork.property.druid.storage.baseKey=prod/v1
|
||||
druid.indexer.fork.property.druid.storage.bucket=druid
|
||||
druid.indexer.fork.property.druid.storage.type=s3
|
||||
|
||||
druid.worker.capacity=9
|
||||
druid.worker.ip=#{IP_ADDR}
|
||||
druid.worker.version=#{WORKER_VERSION}
|
||||
```
|
||||
|
||||
### Coordinator Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
||||
io.druid.cli.Main server coordinator
|
||||
```
|
||||
|
||||
Hardware:
|
||||
|
||||
```
|
||||
m1.xlarge (Cores: 4, Memory: 15.0 GB)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx10g
|
||||
-Xms10g
|
||||
-XX:NewSize=512m
|
||||
-XX:MaxNewSize=512m
|
||||
-XX:+UseG1GC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/coordinator
|
||||
```
|
||||
|
||||
### Historical Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
||||
io.druid.cli.Main server historical
|
||||
```
|
||||
|
||||
Hardware:
|
||||
|
||||
```
|
||||
r3.8xlarge (Cores: 32, Memory: 244 GB, SSD)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx12g
|
||||
-Xms12g
|
||||
-XX:NewSize=6g
|
||||
-XX:MaxNewSize=6g
|
||||
-XX:MaxDirectMemorySize=32g
|
||||
-XX:+UseConcMarkSweepGC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/historical
|
||||
|
||||
druid.historical.cache.useCache=true
|
||||
druid.historical.cache.populateCache=true
|
||||
|
||||
druid.processing.buffer.sizeBytes=1073741824
|
||||
druid.processing.numThreads=31
|
||||
|
||||
druid.server.http.numThreads=50
|
||||
druid.server.maxSize=300000000000
|
||||
|
||||
druid.segmentCache.locations=[{"path": "/mnt/persistent/zk_druid", "maxSize": 300000000000}]
|
||||
|
||||
druid.monitoring.monitors=["io.druid.server.metrics.HistoricalMetricsMonitor", "com.metamx.metrics.JvmMonitor"]
|
||||
```
|
||||
|
||||
### Broker Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
||||
io.druid.cli.Main server broker
|
||||
```
|
||||
|
||||
Hardware:
|
||||
|
||||
```
|
||||
r3.8xlarge (Cores: 32, Memory: 244 GB, SSD - this hardware is a bit overkill for the broker but we choose it for simplicity)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx25g
|
||||
-Xms25g
|
||||
-XX:NewSize=6g
|
||||
-XX:MaxNewSize=6g
|
||||
-XX:MaxDirectMemorySize=64g
|
||||
-XX:+UseConcMarkSweepGC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
|
||||
-Dcom.sun.management.jmxremote.port=17071
|
||||
-Dcom.sun.management.jmxremote.authenticate=false
|
||||
-Dcom.sun.management.jmxremote.ssl=false
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/broker
|
||||
|
||||
druid.broker.http.numConnections=20
|
||||
druid.broker.http.readTimeout=PT5M
|
||||
|
||||
druid.processing.buffer.sizeBytes=2147483647
|
||||
druid.processing.numThreads=31
|
||||
|
||||
druid.server.http.numThreads=50
|
||||
```
|
||||
|
||||
### Real-time Node
|
||||
|
||||
Run:
|
||||
|
||||
```
|
||||
io.druid.cli.Main server realtime
|
||||
```
|
||||
|
||||
Hardware (this is a little overkill):
|
||||
|
||||
```
|
||||
r3.8xlarge (Cores: 32, Memory: 244 GB, SSD - this hardware is way overkill for the real-time node but we choose it for simplicity)
|
||||
```
|
||||
|
||||
JVM Configuration:
|
||||
|
||||
```
|
||||
-server
|
||||
-Xmx13g
|
||||
-Xms13g
|
||||
-XX:NewSize=2g
|
||||
-XX:MaxNewSize=2g
|
||||
-XX:MaxDirectMemorySize=9g
|
||||
-XX:+UseConcMarkSweepGC
|
||||
-XX:+PrintGCDetails
|
||||
-XX:+PrintGCTimeStamps
|
||||
-XX:+HeapDumpOnOutOfMemoryError
|
||||
|
||||
-Duser.timezone=UTC
|
||||
-Dfile.encoding=UTF-8
|
||||
-Djava.util.logging.manager=org.apache.logging.log4j.jul.LogManager
|
||||
-Djava.io.tmpdir=/mnt/tmp
|
||||
|
||||
-Dcom.sun.management.jmxremote.port=17071
|
||||
-Dcom.sun.management.jmxremote.authenticate=false
|
||||
-Dcom.sun.management.jmxremote.ssl=false
|
||||
```
|
||||
|
||||
Runtime.properties:
|
||||
|
||||
```
|
||||
druid.host=#{IP_ADDR}
|
||||
druid.port=8080
|
||||
druid.service=druid/realtime
|
||||
|
||||
druid.processing.buffer.sizeBytes=1073741824
|
||||
druid.processing.numThreads=7
|
||||
|
||||
druid.server.http.numThreads=50
|
||||
|
||||
druid.monitoring.monitors=["io.druid.segment.realtime.RealtimeMetricsMonitor", "com.metamx.metrics.JvmMonitor"]
|
||||
```
|
||||
|
|
@ -1,7 +0,0 @@
|
|||
---
|
||||
layout: doc_page
|
||||
---
|
||||
Production Zookeeper Configuration
|
||||
==================================
|
||||
|
||||
You can find great information about configuring and running Zookeeper [here](https://cwiki.apache.org/confluence/display/KAFKA/Operations#Operations-Zookeeper).
|
||||
|
|
@ -81,9 +81,6 @@ layout: toc
|
|||
* [Broker](/docs/VERSION/configuration/broker.html)
|
||||
* [Realtime](/docs/VERSION/configuration/realtime.html)
|
||||
* [Configuring Logging](/docs/VERSION/configuration/logging.html)
|
||||
* [Production Cluster Configuration](/docs/VERSION/configuration/production-cluster.html)
|
||||
* [Production Hadoop Configuration](/docs/VERSION/configuration/hadoop.html)
|
||||
* [Production Zookeeper Configuration](/docs/VERSION/configuration/zookeeper.html)
|
||||
|
||||
## Development
|
||||
* [Overview](/docs/VERSION/development/overview.html)
|
||||
|
|
|
|||
Loading…
Reference in New Issue