基於CDH，部署Apache Kylin讀寫分離

本文轉載自查看原文 2018-12-12 18:28 1390 多集群/ Kylin/ 讀寫分離/ hbase/ kylin/ 分壓

一. 部署讀寫分離的契機

目前公司整體項目穩定運行在CDH5.6版本上，與其搭配的Hbase1.0.0無法正確運行Kylin，原因是Kylin只滿足Hbase1.1.x+版本。解決方案如下

1. 升級整體CDH版本，從而獲得高版本Hbase（方案風險太大）

2. 把Hbase從CDH單獨剝離出來，用原生的Hbase高版本替代（方案缺點是管理Hbase不方便，原有的應用難遷移）

3. Kylin讀寫分離（經驗證，CDH5.6的Hbase支持Kylin建CUBE，但無法讀（api不兼容），所以只需在另一個集群配置高版本的Hbase即可解決問題，方案高可行，因為既不影響現有的應用，也提高了Kylin的高可用性，一舉兩得）

二. 環境說明

從上圖可看出，Kylin支持讀寫分離，但其設計的初衷是為了分離集群壓力，讀和寫分離，實現高速穩定可用。

當我們在前段發現建CUBE請求時，Build操作在計算集群實現，計算CUBE之后把它load到Hbase集群，最后轉成HFILE到Hbase，從而提供前端讀。具體到目前我的環境，可把上圖抽象為：

Kylin版本： apache-kylin-2.4.0-bin-cdh57

集群機器IP 機器名稱備注

CDH5.6        10.5.8.10    see-data-pre-master-01          集群A 主 (CDH5.6）
CDH5.6        10.5.8.17    see-data-pre-slave-1            集群A 從
CDH5.15.0     10.5.8.12    test-data-master-1              集群B 主 (CDH5.15.0)
CDH5.15.0     10.5.8.6     test-data-slave-1               集群B 從
CDH5.15.0     10.5.8.7     test-data-slave-2               集群B 從

后面我們把CDH5.6集群簡述為集群A，CDH5.15.0簡述為集群B

三. 部署思路

部署Kylin的讀寫分離，顧名思義是把寫的操作指向集群A，讀操作指向集群B，反映到配置上，其實就是：

1. 把集群A中的Hadooo\MR\Hive\Yarn配置復制到部署Kylin的配置目錄

2. 把集群B中的Hbase配置文件復制到Kylin的配置目錄

3. 配置Kylin.property文件中對集群A和集群B的指針屬性

四. 部署過程

1. 首先保證兩個集群的所有機器都配置完域名映射，可免密訪問，保證兩集群可正常運行。

2. Kylin下載解壓后放在集群B機器test-data-slave-2 的/home/hadoop/kylin/apache-kylin-2.4.0-bin-cdh57目錄下=$KYLIN_HOME

3. 所有配置文件復制到$KYLIN_HOME（CDH的配置文件都默認放在/etc/hadoop/conf; /etc/hive/conf; ….）

把集群A的/etc/hadoop/conf 下的 core-site.xml、hdfs-site.xml、yarn-site.xml、mapred-site.xml 復制到$ YLIN_HOME的conf目錄下
把集群A的/etc/hive/conf 下的 hive-site.xml 復制到$KYLIN_HOME的conf目錄下
把集群B的/etc/hbase/conf 下的hbase-site.xml 復制到$KYLIN_HOME的conf目錄下

原則上，這些從集群拷貝的配置文件都不需要改，但是如果hdfs或者hive的指向地址為本地地址，就需要改成遠程訪問地址！

[hadoop@test-data-slave-2 conf]$ ll
total 76
-rw-r--r-- 1 hadoop data  3865 Dec 11 15:37 core-site.xml
-rw-r--r-- 1 hadoop data  2926 Dec 11 15:42 hbase-site.xml
-rw-r--r-- 1 hadoop data  1748 Dec 11 15:37 hdfs-site.xml
-rw-r--r-- 1 hadoop data  5517 Dec 11 15:41 hive-site.xml
-rw-r--r-- 1 hadoop data  3605 Jun 20 15:53 kylin_hive_conf.xml
-rw-r--r-- 1 hadoop data  3807 Jun 20 15:53 kylin_job_conf_inmem.xml
-rw-r--r-- 1 hadoop data  3386 Dec 12 11:08 kylin_job_conf.xml
-rw-r--r-- 1 hadoop data  1156 Jun 20 15:53 kylin-kafka-consumer.xml
-rw-r--r-- 1 hadoop data 13112 Dec 11 20:35 kylin.properties
-rw-r--r-- 1 hadoop data  1339 Jun 20 15:53 kylin-server-log4j.properties
-rw-r--r-- 1 hadoop data  1656 Jun 20 15:53 kylin-tools-log4j.properties
-rw-r--r-- 1 hadoop data  4563 Dec 11 15:40 mapred-site.xml
-rwxr-xr-x 1 hadoop data  3649 Jun 20 15:53 setenv.sh
-rw-r--r-- 1 hadoop data  3828 Dec 11 15:39 yarn-site.xml

以下是各個主要文件的配置信息：

core-site.xml

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

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://see-data-pre-master-01:8020</value>
  </property>
  <property>
    <name>fs.trash.interval</name>
    <value>1</value>
  </property>
  <property>
    <name>io.compression.codecs</name>
    <value>org.apache.hadoop.io.compress.DefaultCodec,org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.BZip2Codec,org.apache.hadoop.io.compress.DeflateCodec,org.apache.hadoop.io.compress.SnappyCodec,org.apache.hadoop.io.compress.Lz4Codec</value>
  </property>
  <property>
    <name>hadoop.security.authentication</name>
    <value>simple</value>
  </property>
  <property>
    <name>hadoop.security.authorization</name>
    <value>false</value>
  </property>
  <property>
    <name>hadoop.rpc.protection</name>
    <value>authentication</value>
  </property>
  <property>
    <name>hadoop.security.auth_to_local</name>
    <value>DEFAULT</value>
  </property>
  <property>
    <name>hadoop.proxyuser.oozie.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.oozie.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.mapred.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.mapred.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.flume.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.flume.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.HTTP.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.HTTP.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hive.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hive.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hue.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hue.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.httpfs.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.httpfs.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hdfs.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.hdfs.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.yarn.hosts</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.proxyuser.yarn.groups</name>
    <value>*</value>
  </property>
  <property>
    <name>hadoop.security.group.mapping</name>
    <value>org.apache.hadoop.security.ShellBasedUnixGroupsMapping</value>
  </property>
  <property>
    <name>hadoop.security.instrumentation.requires.admin</name>
    <value>false</value>
  </property>
  <property>
    <name>net.topology.script.file.name</name>
    <value>/etc/hadoop/conf.cloudera.yarn/topology.py</value>
  </property>
  <property>
    <name>io.file.buffer.size</name>
    <value>65536</value>
  </property>
  <property>
    <name>hadoop.ssl.enabled</name>
    <value>false</value>
  </property>
  <property>
    <name>hadoop.ssl.require.client.cert</name>
    <value>false</value>
    <final>true</final>
  </property>
  <property>
    <name>hadoop.ssl.keystores.factory.class</name>
    <value>org.apache.hadoop.security.ssl.FileBasedKeyStoresFactory</value>
    <final>true</final>
  </property>
  <property>
    <name>hadoop.ssl.server.conf</name>
    <value>ssl-server.xml</value>
    <final>true</final>
  </property>
  <property>
    <name>hadoop.ssl.client.conf</name>
    <value>ssl-client.xml</value>
    <final>true</final>
  </property>
</configuration>

hbase-site.xml

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

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>hbase.rootdir</name>
    <value>hdfs://test-data-master-1:8020/hbase_test</value>
  </property>
  <property>
    <name>hbase.client.write.buffer</name>
    <value>2097152</value>
  </property>
  <property>
    <name>hbase.client.pause</name>
    <value>100</value>
  </property>
  <property>
    <name>hbase.client.retries.number</name>
    <value>35</value>
  </property>
  <property>
    <name>hbase.client.scanner.caching</name>
    <value>100</value>
  </property>
  <property>
    <name>hbase.client.keyvalue.maxsize</name>
    <value>10485760</value>
  </property>
  <property>
    <name>hbase.ipc.client.allowsInterrupt</name>
    <value>true</value>
  </property>
  <property>
    <name>hbase.client.primaryCallTimeout.get</name>
    <value>10</value>
  </property>
  <property>
    <name>hbase.client.primaryCallTimeout.multiget</name>
    <value>10</value>
  </property>
  <property>
    <name>hbase.fs.tmp.dir</name>
    <value>/user/${user.name}/hbase-staging</value>
  </property>
  <property>
    <name>hbase.client.scanner.timeout.period</name>
    <value>60000</value>
  </property>
  <property>
    <name>hbase.coprocessor.region.classes</name>
    <value>org.apache.hadoop.hbase.security.access.SecureBulkLoadEndpoint</value>
  </property>
  <property>
    <name>hbase.regionserver.thrift.http</name>
    <value>false</value>
  </property>
  <property>
    <name>hbase.thrift.support.proxyuser</name>
    <value>false</value>
  </property>
  <property>
    <name>hbase.rpc.timeout</name>
    <value>60000</value>
  </property>
  <property>
    <name>hbase.snapshot.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>hbase.snapshot.master.timeoutMillis</name>
    <value>60000</value>
  </property>
  <property>
    <name>hbase.snapshot.region.timeout</name>
    <value>60000</value>
  </property>
  <property>
    <name>hbase.snapshot.master.timeout.millis</name>
    <value>60000</value>
  </property>
  <property>
    <name>hbase.security.authentication</name>
    <value>simple</value>
  </property>
  <property>
    <name>hbase.rpc.protection</name>
    <value>authentication</value>
  </property>
  <property>
    <name>zookeeper.session.timeout</name>
    <value>60000</value>
  </property>
  <property>
    <name>zookeeper.znode.parent</name>
    <value>/hbase_test</value>
  </property>
  <property>
    <name>zookeeper.znode.rootserver</name>
    <value>root-region-server-test</value>
  </property>
  <property>
    <name>hbase.zookeeper.quorum</name>
    <value>test-data-master-1,test-data-slave-2,test-data-slave-1</value>
  </property>
  <property>
    <name>hbase.zookeeper.property.clientPort</name>
    <value>2181</value>
  </property>
  <property>
    <name>hbase.rest.ssl.enabled</name>
    <value>false</value>
  </property>
</configuration>

hdfs-site.xml

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

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>file:///dfs/nn</value>
  </property>
  <property>
    <name>dfs.namenode.servicerpc-address</name>
    <value>see-data-pre-master-01:8022</value>
  </property>
  <property>
    <name>dfs.https.address</name>
    <value>see-data-pre-master-01:50470</value>
  </property>
  <property>
    <name>dfs.https.port</name>
    <value>50470</value>
  </property>
  <property>
    <name>dfs.namenode.http-address</name>
    <value>see-data-pre-master-01:50070</value>
  </property>
  <property>
    <name>dfs.replication</name>
    <value>3</value>
  </property>
  <property>
    <name>dfs.blocksize</name>
    <value>134217728</value>
  </property>
  <property>
    <name>dfs.client.use.datanode.hostname</name>
    <value>false</value>
  </property>
  <property>
    <name>fs.permissions.umask-mode</name>
    <value>022</value>
  </property>
  <property>
    <name>dfs.namenode.acls.enabled</name>
    <value>false</value>
  </property>
  <property>
    <name>dfs.client.use.legacy.blockreader</name>
    <value>false</value>
  </property>
  <property>
    <name>dfs.client.read.shortcircuit</name>
    <value>false</value>
  </property>
  <property>
    <name>dfs.domain.socket.path</name>
    <value>/var/run/hdfs-sockets/dn</value>
  </property>
  <property>
    <name>dfs.client.read.shortcircuit.skip.checksum</name>
    <value>false</value>
  </property>
  <property>
    <name>dfs.client.domain.socket.data.traffic</name>
    <value>false</value>
  </property>
  <property>
    <name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
    <value>true</value>
  </property>
</configuration>

hive-site.xml

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

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>hive.metastore.uris</name>
    <value>thrift://see-data-pre-master-01:9083</value>
  </property>
  <property>
    <name>hive.metastore.client.socket.timeout</name>
    <value>300</value>
  </property>
  <property>
    <name>hive.metastore.warehouse.dir</name>
    <value>/user/hive/warehouse</value>
  </property>
  <property>
    <name>hive.warehouse.subdir.inherit.perms</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.enable.spark.execution.engine</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.conf.restricted.list</name>
    <value>hive.enable.spark.execution.engine</value>
  </property>
  <property>
    <name>hive.auto.convert.join</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.auto.convert.join.noconditionaltask.size</name>
    <value>20971520</value>
  </property>
  <property>
    <name>hive.optimize.bucketmapjoin.sortedmerge</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.smbjoin.cache.rows</name>
    <value>10000</value>
  </property>
  <property>
    <name>mapred.reduce.tasks</name>
    <value>-1</value>
  </property>
  <property>
    <name>hive.exec.reducers.bytes.per.reducer</name>
    <value>67108864</value>
  </property>
  <property>
    <name>hive.exec.copyfile.maxsize</name>
    <value>33554432</value>
  </property>
  <property>
    <name>hive.exec.reducers.max</name>
    <value>1099</value>
  </property>
  <property>
    <name>hive.vectorized.groupby.checkinterval</name>
    <value>4096</value>
  </property>
  <property>
    <name>hive.vectorized.groupby.flush.percent</name>
    <value>0.1</value>
  </property>
  <property>
    <name>hive.compute.query.using.stats</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.vectorized.execution.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.vectorized.execution.reduce.enabled</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.merge.mapfiles</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.merge.mapredfiles</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.cbo.enable</name>
    <value>false</value>
  </property>
  <property>
    <name>hive.fetch.task.conversion</name>
    <value>minimal</value>
  </property>
  <property>
    <name>hive.fetch.task.conversion.threshold</name>
    <value>268435456</value>
  </property>
  <property>
    <name>hive.limit.pushdown.memory.usage</name>
    <value>0.1</value>
  </property>
  <property>
    <name>hive.merge.sparkfiles</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.merge.smallfiles.avgsize</name>
    <value>16777216</value>
  </property>
  <property>
    <name>hive.merge.size.per.task</name>
    <value>268435456</value>
  </property>
  <property>
    <name>hive.optimize.reducededuplication</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.optimize.reducededuplication.min.reducer</name>
    <value>4</value>
  </property>
  <property>
    <name>hive.map.aggr</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.map.aggr.hash.percentmemory</name>
    <value>0.5</value>
  </property>
  <property>
    <name>hive.optimize.sort.dynamic.partition</name>
    <value>false</value>
  </property>
  <property>
    <name>spark.executor.memory</name>
    <value>268435456</value>
  </property>
  <property>
    <name>spark.driver.memory</name>
    <value>268435456</value>
  </property>
  <property>
    <name>spark.executor.cores</name>
    <value>1</value>
  </property>
  <property>
    <name>spark.yarn.driver.memoryOverhead</name>
    <value>26</value>
  </property>
  <property>
    <name>spark.yarn.executor.memoryOverhead</name>
    <value>26</value>
  </property>
  <property>
    <name>spark.dynamicAllocation.enabled</name>
    <value>true</value>
  </property>
  <property>
    <name>spark.dynamicAllocation.initialExecutors</name>
    <value>1</value>
  </property>
  <property>
    <name>spark.dynamicAllocation.minExecutors</name>
    <value>1</value>
  </property>
  <property>
    <name>spark.dynamicAllocation.maxExecutors</name>
    <value>2147483647</value>
  </property>
  <property>
    <name>hive.metastore.execute.setugi</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.support.concurrency</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.zookeeper.quorum</name>
    <value>see-data-pre-master-01</value>
  </property>
  <property>
    <name>hive.zookeeper.client.port</name>
    <value>2181</value>
  </property>
  <property>
    <name>hive.zookeeper.namespace</name>
    <value>hive_zookeeper_namespace_hive</value>
  </property>
  <property>
    <name>hbase.zookeeper.quorum</name>
    <value>see-data-pre-master-01</value>
  </property>
  <property>
    <name>hbase.zookeeper.property.clientPort</name>
    <value>2181</value>
  </property>
  <property>
    <name>hive.cluster.delegation.token.store.class</name>
    <value>org.apache.hadoop.hive.thrift.MemoryTokenStore</value>
  </property>
  <property>
    <name>hive.server2.enable.doAs</name>
    <value>true</value>
  </property>
  <property>
    <name>hive.server2.use.SSL</name>
    <value>false</value>
  </property>
  <property>
    <name>spark.shuffle.service.enabled</name>
    <value>true</value>
  </property>
</configuration>

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.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>1</value>
  </property>
  <property>
    <name>mapreduce.job.reduces</name>
    <value>5</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>see-data-pre-master-01:10020</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.webapp.address</name>
    <value>see-data-pre-master-01:19888</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.webapp.https.address</name>
    <value>see-data-pre-master-01:19890</value>
  </property>
  <property>
    <name>mapreduce.jobhistory.admin.address</name>
    <value>see-data-pre-master-01:10033</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>0</value>
  </property>
  <property>
    <name>mapreduce.map.cpu.vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>0</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>$HADOOP_MAPRED_HOME/*,$HADOOP_MAPRED_HOME/lib/*,$MR2_CLASSPATH</value>
  </property>
  <property>
    <name>mapreduce.admin.user.env</name>
    <value>LD_LIBRARY_PATH=$HADOOP_COMMON_HOME/lib/native:$JAVA_LIBRARY_PATH</value>
  </property>
  <property>
    <name>mapreduce.shuffle.max.connections</name>
    <value>80</value>
  </property>
</configuration>

yarn-site.xml

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

<!--Autogenerated by Cloudera Manager-->
<configuration>
  <property>
    <name>yarn.acl.enable</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.admin.acl</name>
    <value>*</value>
  </property>
  <property>
    <name>yarn.resourcemanager.address</name>
    <value>see-data-pre-master-01:8032</value>
  </property>
  <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>see-data-pre-master-01:8033</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>see-data-pre-master-01:8030</value>
  </property>
  <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>see-data-pre-master-01:8031</value>
  </property>
  <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>see-data-pre-master-01:8088</value>
  </property>
  <property>
    <name>yarn.resourcemanager.webapp.https.address</name>
    <value>see-data-pre-master-01:8090</value>
  </property>
  <property>
    <name>yarn.resourcemanager.client.thread-count</name>
    <value>50</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.client.thread-count</name>
    <value>50</value>
  </property>
  <property>
    <name>yarn.resourcemanager.admin.client.thread-count</name>
    <value>1</value>
  </property>
  <property>
    <name>yarn.scheduler.minimum-allocation-mb</name>
    <value>1024</value>
  </property>
  <property>
    <name>yarn.scheduler.increment-allocation-mb</name>
    <value>512</value>
  </property>
  <property>
    <name>yarn.scheduler.maximum-allocation-mb</name>
    <value>3374</value>
  </property>
  <property>
    <name>yarn.scheduler.minimum-allocation-vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>yarn.scheduler.increment-allocation-vcores</name>
    <value>1</value>
  </property>
  <property>
    <name>yarn.scheduler.maximum-allocation-vcores</name>
    <value>8</value>
  </property>
  <property>
    <name>yarn.resourcemanager.amliveliness-monitor.interval-ms</name>
    <value>1000</value>
  </property>
  <property>
    <name>yarn.am.liveness-monitor.expiry-interval-ms</name>
    <value>600000</value>
  </property>
  <property>
    <name>yarn.resourcemanager.am.max-attempts</name>
    <value>2</value>
  </property>
  <property>
    <name>yarn.resourcemanager.container.liveness-monitor.interval-ms</name>
    <value>600000</value>
  </property>
  <property>
    <name>yarn.resourcemanager.nm.liveness-monitor.interval-ms</name>
    <value>1000</value>
  </property>
  <property>
    <name>yarn.nm.liveness-monitor.expiry-interval-ms</name>
    <value>600000</value>
  </property>
  <property>
    <name>yarn.resourcemanager.resource-tracker.client.thread-count</name>
    <value>50</value>
  </property>
  <property>
    <name>yarn.application.classpath</name>
    <value>$HADOOP_CLIENT_CONF_DIR,$HADOOP_CONF_DIR,$HADOOP_COMMON_HOME/*,$HADOOP_COMMON_HOME/lib/*,$HADOOP_HDFS_HOME/*,$HADOOP_HDFS_HOME/lib/*,$HADOOP_YARN_HOME/*,$HADOOP_YARN_HOME/lib/*</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.class</name>
    <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler</value>
  </property>
  <property>
    <name>yarn.scheduler.fair.user-as-default-queue</name>
    <value>true</value>
  </property>
  <property>
    <name>yarn.scheduler.fair.preemption</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.scheduler.fair.sizebasedweight</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.scheduler.fair.assignmultiple</name>
    <value>false</value>
  </property>
  <property>
    <name>yarn.resourcemanager.max-completed-applications</name>
    <value>10000</value>
  </property>
</configuration>

4. 在$KYLIN_HOME/conf/下的 kylin.properties 中追加以下設置

kylin.source.hive.beeline-shell=beeline
kylin.source.hive.beeline-params=-n hadoop --hiveconf hive.security.authorization.sqlstd.confwhitelist.append='mapreduce.job.*|dfs.*' -u jdbc:hive2://see-data-pre-master-01:10000

# 重要：這是通過beeline向集群A的Hive指定Kylin計算過程中產生的中間表存儲的數據庫

kylin.source.hive.database-for-flat-table=kylin

kylin.source.hive.redistribute-flat-table=true
kylin.storage.url=hbase
kylin.storage.hbase.cluster-fs=hdfs://test-data-master-1:8020
kylin.storage.hbase.namespace=kylin_prod

# 重要：這是集群B的zookeeper節點，Hbase要依賴zk，需要加上
kylin.env.zookeeper-connect-string=test-data-master-1,test-data-slave-2,test-data-slave-1

5. 配置環境變量

在安裝Kylin的機器上配置 ~/.bashrc 文件，追加以下內容

# hadoop
export CONF_HOME=/home/hadoop/kylin/apache-kylin-2.4.0-bin-cdh57/conf
export HBASE_CONF=$CONF_HOME
export HBASE_CONF_DIR=$CONF_HOME
export HADOOP_CONF_DIR=$CONF_HOME
export HIVE_CONF=$CONF_HOME
export HIVE_CONF_DIR=$CONF_HOME

#added by Hive hcatalog
export HCAT_HOME=/opt/cloudera/parcels/CDH/lib/hive-hcatalog

#add by KYLIN
export KYLIN_HOME=/home/hadoop/kylin/apache-kylin-2.4.0-bin-cdh57
export PATH=$KYLIN_HOME/bin:$PATH

這個環境變量告訴Kylin不取本機的hadoop計算，重要！

編輯完后 source ~/.bashrc 以下讓其生效！

6. 單服務驗證以上配置是否正確

在集群B，安裝Kylin的機器下執行以下操作以確定是否都指向了集群A

驗證HDFS，以下的結果是集群A上的HDFS目錄

[hadoop@test-data-slave-2 conf]$ hdfs dfs -ls /user/hive/warehouse/
Found 2 items
drwxrwxrwt   - hadoop    hive          0 2018-12-11 19:23 /user/hive/warehouse/kylin.db
drwxrwxrwt   - superuser hive          0 2018-12-12 10:53 /user/hive/warehouse/test_default

驗證HIVE，打開HIVE CLI，是集群A的hive數據庫

hive> show databases;
OK
default
kylin
Time taken: 1.78 seconds, Fetched: 2 row(s)

驗證YARN，Running列表里頭的兩台機器是集群A的

yarn node -list

2018-12-12 18:14:55,885 INFO  [main] client.RMProxy (RMProxy.java:createRMProxy(123)) - Connecting to ResourceManager at see-data-pre-master-01/10.5.8.10:8032
Total Nodes:2
         Node-Id         Node-State    Node-Http-Address    Number-of-Running-Containers
see-data-pre-slave-1:8041            RUNNING    see-data-pre-slave-1:8042                               0
see-data-pre-master-01:8041            RUNNING    see-data-pre-master-01:8042                               0

hive上建立kylin數據庫，用作存儲建CUBE時的臨時文件

hbase上建立namespace ==> kylin_prod，專門存儲kylin cube表

8. 到$KYLIN_HOME下運行Kylin

./kylin.sh start

9. 打開Kylin UI，執行demo建cube ，到集群A的CDH Yarn頁面查看建CUBE的MR任務

在Kylin UI 中查看CUBE保存后的Kylin表

到集群B的Hbase中驗證

至此搭建Kylin讀寫分離完成。

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