基于CDH，部署Apache Kylin读写分离
一. 部署读写分离的契机
目前公司整体项目稳定运行在CDH5.6版本上，与其搭配的Hbase1.0.0无法正确运行Kylin，原因是Kylin只满足Hbase1.1.x+版本。解决方案如下
1. 升级整体CDH版本，从而获得高版本Hbase（方案风险太大）
2. 把Hbase从CDH单独剥离出来，用原生的Hbase高版本替代（方案缺点是管理Hbase不方便，原有的应用难迁移）
3. Kylin读写分离（经验证，CDH5.6的Hbase支持Kylin建CUBE，但无法读（api不兼容），所以只需在另一个集群配置高版本的Hbase即可解决问题，方案高可行，因为既不影响现有的应用，也提高了Kylin的高可用性，一举两得）
二. 环境说明
从上图可看出，Kylin支持读写分离，但其设计的初衷是为了分离集群压力，读和写分离，实现高速稳定可用。
当我们在前段发现建CUBE请求时，Build操作在计算集群实现，计算CUBE之后把它load到Hbase集群，最后转成HFILE到Hbase，从而提供前端读。具体到目前我的环境，可把上图抽象为：
Kylin版本： apache-kylin-2.4.0-bin-cdh57
集群 机器IP 机器名称 备注
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 从
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 从
CDH5.15.0 10.5.8.7 test-data-slave-2 集群B 从
后面我们把CDH5.6集群简述为集群A，CDH5.15.0简述为集群B
三. 部署思路
部署Kylin的读写分离，顾名思义是把写的操作指向集群A，读操作指向集群B，反映到配置上，其实就是：
1. 把集群A中的Hadooo\MR\Hive\Yarn配置复制到部署Kylin的配置目录
2. 把集群B中的Hbase配置文件复制到Kylin的配置目录
3. 配置Kylin.property文件中对集群A和集群B的指针属性
四. 部署过程
1. 首先保证两个集群的所有机器都配置完域名映射，可免密访问，保证两集群可正常运行。
2. Kylin下载解压后放在集群B机器test-data-slave-2 的/home/hadoop/kylin/apache-kylin-2.4.0-bin-cdh57目录下=$KYLIN_HOME
3. 所有配置文件复制到$KYLIN_HOME（CDH的配置文件都默认放在/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 复制到$ YLIN_HOME的conf目录下
- 把集群A的/etc/hive/conf 下的 hive-site.xml 复制到$KYLIN_HOME的conf目录下
- 把集群B的/etc/hbase/conf 下的hbase-site.xml 复制到$KYLIN_HOME的conf目录下
原则上，这些从集群拷贝的配置文件都不需要改，但是如果hdfs或者hive的指向地址为本地地址，就需要改成远程访问地址！
[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
以下是各个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$KYLIN_HOME/conf/下的 kylin.properties 中追加以下设置
kylin.source.hive.beeline-shell=beeline kylin.source.hive.beeline-params=-n hadoop --hiveconf hive.security.authorization.sqlstd.confwhitelist.append='mapreduce.job.*|dfs.*' -u jdbc:hive2://see-data-pre-master-01:10000
# 重要：这是通过beeline向集群A的Hive指定Kylin计算过程中产生的中间表存储的数据库
kylin.source.hive.database-for-flat-table=kylin
kylin.source.hive.redistribute-flat-table=true kylin.storage.url=hbase kylin.storage.hbase.cluster-fs=hdfs://test-data-master-1:8020
kylin.storage.hbase.namespace=kylin_prod
# 重要：这是集群B的zookeeper节点，Hbase要依赖zk，需要加上 kylin.env.zookeeper-connect-string=test-data-master-1,test-data-slave-2,test-data-slave-1
5. 配置环境变量
在安装Kylin的机器上配置 ~/.bashrc 文件，追加以下内容
# hadoop export CONF_HOME=/home/hadoop/kylin/apache-kylin-2.4.0-bin-cdh57/conf export HBASE_CONF=$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
这个环境变量告诉Kylin不取本机的hadoop计算，重要！
编辑完后 source ~/.bashrc 以下让其生效！
6. 单服务验证以上配置是否正确
在集群B，安装Kylin的机器下执行以下操作以确定是否都指向了集群A
- 验证HDFS，以下的结果是集群A上的HDFS目录
[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
- 验证HIVE，打开HIVE CLI，是集群A的hive数据库
hive> show databases; OK default kylin Time taken: 1.78 seconds, Fetched: 2 row(s)
- 验证YARN，Running列表里头的两台机器是集群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
7.
hive上建立kylin数据库，用作存储建CUBE时的临时文件
hbase上建立namespace ==> kylin_prod，专门存储kylin cube表
8. 到$KYLIN_HOME下运行Kylin
./kylin.sh start
9. 打开Kylin UI，执行demo建cube ，到集群A的CDH Yarn页面查看建CUBE的MR任务
在Kylin UI 中查看CUBE保存后的Kylin表
到集群B的Hbase中验证
至此搭建Kylin读写分离完成。
