hadoop-spark-hive-hbase配置相关说明
1. zookeeper
- 配置
- cp app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/zoo_sample.cfg app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/zoo.cfg
- vim app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/zoo.cfg
- dataDir=/home/cdh5/tmp/zookeeper
- clientPort=2183
- server.1=ocdata09:2888:3888
- mkdir -p /home/cdh5/tmp/zookeeper
- vim /home/cdh5/tmp/zookeeper/myid
- echo "1" > /home/cdh5/tmp/zookeeper/myid
- 初始化操作：
或者 ./runRemoteCmd.sh '~/och200/zookeeper/bin/zkServer-initialize.sh --myid=1' zoo
- 分发配置
- ./deploy.sh app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/zoo.cfg app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/ zoo
- ./runRemoteCmd.sh "app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/zkServer.sh start" zoo
- ./runRemoteCmd.sh 'echo ruok | nc localhost 2183' zoo
- ./runRemoteCmd.sh "app/ochadoop-och3.0.0-SNAPSHOT/zookeeper-3.4.5-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/zkServer.sh stop" zoo
- 启动
- 验证
- 停止
2. HDFS
- 配置hadoop
- hdfs-site.xml
- <property>
- <name>dfs.nameservices</name>
- <value>cdh5cluster</value>
- <description>
- Comma-separated list of nameservices.
- </description>
- </property>
- <property>
- <name>dfs.datanode.address</name>
- <value>0.0.0.0:50011</value>
- <description>
- The datanode server address and port for data transfer.
- If the port is 0 then the server will start on a free port.
- </description>
- </property>
- <property>
- <name>dfs.datanode.http.address</name>
- <value>0.0.0.0:50076</value>
- <description>
- The datanode http server address and port.
- If the port is 0 then the server will start on a free port.
- </description>
- </property>
- <property>
- <name>dfs.datanode.ipc.address</name>
- <value>0.0.0.0:50021</value>
- <description>
- The datanode ipc server address and port.
- If the port is 0 then the server will start on a free port.
- </description>
- </property>
- <property>
- （）
- <name>dfs.nameservices</name>
- <value>cdh5cluster</value>
- </property>
- <property>
- （命名空间中所有NameNode的唯一标示名称。可以配置多个，使用逗号分隔。该名称是可以让DataNode知道每个集群的所有NameNode.当前，每个集群最多只能配置两个NameNode）
- <name>dfs.ha.namenodes.cdh5cluster</name>
- <value>nn1,nn2</value>
- <description></description>
- </property>
- <property>
- <name>dfs.namenode.name.dir</name>
- <value>file:///data1/cdh5/dfs/name</value>
- <description>Determines where on the local filesystem the DFS name node should store the name table.If this is a comma-delimited list of directories,then name table is replicated in all of the directories,for redundancy.</description>
- <final>true</final>
- </property>
- <property>
- <name>dfs.datanode.data.dir</name>
- <value>file:///data1/cdh5/dfs/data,file:///data2/cdh5/dfs/data,file:///data3/cdh5/dfs/data</value>
- <final>true</final>
- </property>
- <property>
- <name>dfs.replication</name>
- <value>3</value>
- </property>
- <property>
- <name>dfs.permission</name>
- <value>true</value>
- </property>
- <property>
- <name>dfs.datanode.hdfs-blocks-metadata.enabled</name>
- <value>true</value>
- <description>
- Boolean which enables backend datanode-side support for the experimental DistributedFileSystem*getFileVBlockStorageLocations API.
- </description>
- </property>
- <property>
- <name>dfs.permissions.enabled</name>
- <value>false</value>
- <description>
- If "true", enable permission checking in HDFS.
- If "false", permission checking is turned off,
- but all other behavior is unchanged.
- Switching from one parameter value to the other does not change the mode,
- owner or group of files or directories.
- </description>
- </property>
- <property>
- (每个NAMENODE监听的RPC地址)
- <name>dfs.namenode.rpc-address.cdh5cluster.nn1</name>
- <value>ocdata09:8030</value>
- <description>节点NN1的RPC地址</description>
- </property>
- <property>
- <name>dfs.namenode.rpc-address.cdh5cluster.nn2</name>
- <value>ocdata08:8030</value>
- <description>节点NN2的RPC地址</description>
- </property>
- <property>
- <name>dfs.namenode.http-address.cdh5cluster.nn1</name>
- <value>ocdata09:50082</value>
- <description>节点NN1的HTTP地址</description>
- </property>
- <property>
- <name>dfs.namenode.http-address.cdh5cluster.nn2</name>
- <value>ocdata08:50082</value>
- <description>节点NN2的HTTP地址</description>
- </property>
- <property>
- （这是NameNode读写JNs的uri。通过这个uri，NameNodes可以读写edit log内容。URI的格式”qjournal://host1:port1;host2:port2;host3:port3/journalId”。这里的host1、host2、host3指的是Journal Node的地址，这里必须是奇数个，至少3个;其中journaId是集群的唯一标示符，对于多个联邦命名空间，也使用同一个journaId。配置如下J
- <name>dfs.namenode.shared.edits.dir</name>
- <value>qjournal://ocdata05:8488;ocdata06:8488;ocdata07:8488/cdh5cluster</value>
- <description>采用3个journalnode节点存储元数据，这是IP与端口</description>
- </property>
- <property>
- <name>dfs.journalnode.edits.dir</name>
- <value>/home/cdh5/journaldata/jn</value>
- <description>journaldata的存储路径</description>
- </property>
- <property>
- <name>dfs.journalnode.rpc-address</name>
- <value>0.0.0.0:8488</value>
- </property>
- <property>
- <name>dfs.journalnode.http-address</name>
- <value>0.0.0.0:8483</value>
- </property>
- <property>
- <name>dfs.client.failover.proxy.provider.cdh5cluster</name>
- <value>org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider</value>
- <description>该类用来判断哪个namenode处于生效状态</description>
- </property>
- <property>
- <name>dfs.ha.fencing.methods</name>
- <value>shell(/bin/true)</value>
- </property>
- <property>
- <name>dfs.ha.fencing.ssh.connect-timeout</name>
- <value>10000</value>
- </property>
- <property>
- <name>dfs.ha.automatic-failover.enabled</name>
- <value>true</value>
- <description>
- Whether automatic failover is enabled. See the HDFS High
- Availability documentation for details on automatic HA
- configuration.
- </description>
- </property>
- <property>
- <name>ha.zookeeper.quorum</name>
- <value>ocdata09:2183</value>
- <description>1个zookeeper节点</description>
- </property>
- <property>
- <name>dfs.datanode.max.xcievers</name>
- <value>4096</value>
- </property>
- <property>
- <name>dfs.datanode.max.transfer.threads</name>
- <value>4096</value>
- <description>
- Specifies the maximum number of threads to use for transferring data
- in and out of the DN.
- </description>
- </property>
- <property>
- <name>dfs.blocksize</name>
- <value>64m</value>
- <description>
- The default block size for new files, in bytes.
- You can use the following suffix (case insensitive):
- k(kilo), m(mega), g(giga), t(tera), p(peta), e(exa) to specify the size (such as 128k, 512m, 1g, etc.),
- Or provide complete size in bytes (such as 134217728 for 128 MB).
- </description>
- </property>
- <property>
- <name>dfs.namenode.handler.count</name>
- <value>20</value>
- <description>The number of server threads for the namenode.</description>
- </property>
- <property>
- （这是一个描述集群中NameNode节点的URI(包括协议、主机名称\端口号—)集群里面的每一台机器都要知道NAMENODE的地址。DataNode节点会先在NAMENODE上注册，这样它们的数据才可以被使用。独立的客户端程序通过这个URI跟DATANODE交互，以取得文件的块列表。）
- <name>fs.defaultFS</name>
- <value>hdfs://cdh5cluster</value>
- </property>
- <property>
- （hadoop文件系统依赖的基础配置，很多路径都依赖它。如果hdfs-site.xml中不配置namenode和datanode的存放位置，默认就放在这个路径中）
- <name>hadoop.tmp.dir</name>
- <value>/home/cdh5/tmp/hadoop/hadoop-${user.name}</value>
- </property>
- <property>
- core-site.xml
(对本地jar包进行加载)
- <name>io.native.lib.available</name>
- <value>true</value>
- <description>Should native hadoop libraries, if present, be used.</description>
- </property>
- (压缩和解压编码类列表，用逗号分隔，这些类是使用java ServiceLoader加载，如果不设置就为null)
- <property>
- <name>io.compression.codecs</name> <value>org.apache.hadoop.io.compress.GzipCodec,org.apache.hadoop.io.compress.SnappyCodec</value>
- </property>
- ocdata05
- ocdata06
- ocdata07
- ocdata08
- ocdata09
- ocdata05
- ocdata06
- export JAVA_HOME=/home/cdh5/app/jdk1.7.0_21
- ./deploy.sh app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc all
- slaves
- masters
- hadoop-env.sh
- 分发
- 初始化HDFS：
主节点执行
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/hdfs zkfc -formatZK
./runRemoteCmd.sh 'app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/hadoop-daemon.sh start journalnode' jn
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/hdfs namenode -format -initializeSharedEdits
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/hadoop-daemon.sh start namenode
备节点执行
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/hdfs namenode -bootstrapStandby
完成
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/hadoop-daemon.sh stop namenode
./runRemoteCmd.sh 'app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/hadoop-daemon.sh stop journalnode' jn
- 启动HDFS
- app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/start-dfs.sh
- http://10.1.253.99:50082/dfshealth.html (active)
- http://10.1.253.98:50082/dfshealth.html (standby)
- http://10.1.253.97:8483/journalstatus.jsp
- http://10.1.253.96:8483/journalstatus.jsp
- http://10.1.253.95:8483/journalstatus.jsp
- app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/stop-dfs.sh
- 验证：
- 停止HDFS
3. Yarn
配置YARN
- mapred-site.xml
- cp app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop/mapred-site.xml.template app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop/mapred-site.xml
- vim app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop/mapred-site.xml
- <property>
- <name>mapreduce.framework.name</name>
- <value>yarn</value>
- </property>
- <property>
- <name>mapreduce.shuffle.port</name>
- <value>8350</value>
- </property>
- <property>
- <name>mapreduce.jobhistory.address</name>
- <value>0.0.0.0:10121</value>
- </property>
- <property>
- <name>mapreduce.jobhistory.webapp.address</name>
- <value>0.0.0.0:19868</value>
- </property>
- <property>
- <name>mapreduce.jobtracker.http.address</name>
- <value>0.0.0.0:50330</value>
- </property>
- <property>
- <name>mapreduce.tasktracker.http.address</name>
- <value>0.0.0.0:50360</value>
- </property>
- vim app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop/yarn-site.xml
- <!-- Resource Manager Configs -->
- <property>
- <name>yarn.resourcemanager.connect.retry-interval.ms</name>
- <value>2000</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.enabled</name>
- <value>true</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.automatic-failover.enabled</name>
- <value>true</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.automatic-failover.embedded</name>
- <value>true</value>
- </property>
- <property>
- <name>yarn.resourcemanager.cluster-id</name>
- <value>yarn-rm-cluster</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.rm-ids</name>
- <value>rm1,rm2</value>
- </property>
- <property>
- <description>Id of the current ResourceManager. Must be set explicitly on each ResourceManager to the appropriate value.</description>
- <name>yarn.resourcemanager.ha.id</name>
- <value>rm1</value>
- <!-- rm1上配置为rm1, rm2上配置rm2 -->
- </property>
- <property>
- <name>yarn.resourcemanager.recovery.enabled</name>
- <value>true</value>
- </property>
- <property>
- <name>yarn.resourcemanager.store.class</name>
- <value>org.apache.hadoop.yarn.server.resourcemanager.recovery.ZKRMStateStore</value>
- </property>
- <property>
- <name>yarn.resourcemanager.zk.state-store.address</name>
- <value>ocdata09:2183</value>
- </property>
- <property>
- <name>yarn.resourcemanager.zk-address</name>
- <value>ocdata09:2183</value>
- </property>
- <property>
- <name>yarn.app.mapreduce.am.scheduler.connection.wait.interval-ms</name>
- <value>5000</value>
- </property>
- <!-- RM1 configs -->
- <property>
- <name>yarn.resourcemanager.address.rm1</name>
- <value>ocdata08:23140</value>
- </property>
- <property>
- <name>yarn.resourcemanager.scheduler.address.rm1</name>
- <value>ocdata08:23130</value>
- </property>
- <property>
- <name>yarn.resourcemanager.webapp.address.rm1</name>
- <value>ocdata08:23188</value>
- </property>
- <property>
- <name>yarn.resourcemanager.resource-tracker.address.rm1</name>
- <value>ocdata08:23125</value>
- </property>
- <property>
- <name>yarn.resourcemanager.admin.address.rm1</name>
- <value>ocdata08:23141</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.admin.address.rm1</name>
- <value>ocdata08:23142</value>
- </property>
- <!-- RM2 configs -->
- <property>
- <name>yarn.resourcemanager.address.rm2</name>
- <value>ocdata09:23140</value>
- </property>
- <property>
- <name>yarn.resourcemanager.scheduler.address.rm2</name>
- <value>ocdata09:23130</value>
- </property>
- <property>
- <name>yarn.resourcemanager.webapp.address.rm2</name>
- <value>ocdata09:23188</value>
- </property>
- <property>
- <name>yarn.resourcemanager.resource-tracker.address.rm2</name>
- <value>ocdata09:23125</value>
- </property>
- <property>
- <name>yarn.resourcemanager.admin.address.rm2</name>
- <value>ocdata09:23141</value>
- </property>
- <property>
- <name>yarn.resourcemanager.ha.admin.address.rm2</name>
- <value>ocdata09:23142</value>
- </property>
- <!-- Node Manager Configs -->
- <property>
- <description>Address where the localizer IPC is.</description>
- <name>yarn.nodemanager.localizer.address</name>
- <value>0.0.0.0:23344</value>
- </property>
- <property>
- <description>NM Webapp address.</description>
- <name>yarn.nodemanager.webapp.address</name>
- <value>0.0.0.0:23999</value>
- </property>
- <property>
- <name>yarn.nodemanager.aux-services</name>
- <value>mapreduce_shuffle</value>
- </property>
- <property>
- <name>yarn.nodemanager.aux-services.mapreduce_shuffle.class</name>
- <value>org.apache.hadoop.mapred.ShuffleHandler</value>
- </property>
- <property>
- <name>yarn.nodemanager.local-dirs</name>
- <value>/tmp/pseudo-dist/yarn/local</value>
- </property>
- <property>
- <name>yarn.nodemanager.log-dirs</name>
- <value>/tmp/pseudo-dist/yarn/log</value>
- </property>
- ./deploy.sh app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc all
- app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/start-yarn.sh
- yarn-site.xml
- 分发
- Yarn的启动停止 YARN不需要初始化，登录主节点执行
cdh5 yarn的ha需要手动启动备节点
./runRemoteCmd.sh "cd app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin; ./yarn-daemon.sh start resourcemanager" rm2
验证
http://10.1.253.98:23188/cluster (有节点列表，active)
http://10.1.253.99:23188/cluster (无节点列表，standby)
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/bin/hadoop jar app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-*-tests.jar TestDFSIO -write -nrFiles 40 -fileSize 20MB
停止YARN
app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin/stop-yarn.sh
手动停止备节点
./runRemoteCmd.sh "cd app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/sbin; ./yarn-daemon.sh stop resourcemanager" rm2
4. hive
- 配置
- cp hive-env.sh.template hive-env.sh
- vim hive-env.sh
- export HADOOP_HOME=/home/cdh5/app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT
- cp hive-default.xml.template hive-site.xml
- vim hive-site.xml
删除其他配置项，只保留：
<property>
（配置元数据库,一般为mysql）
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://10.1.252.69:3306/cdh5?createDatabaseIfNotExist=true&useUnicode=true&characterEncoding=UTF-8</value>
</property>
<property>
(配置元数据库的Driver)
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
(配置元数据库的名称)
<name>javax.jdo.option.ConnectionUserName</name>
<value>cdh5</value>
<description>username to use against metastore database</description>
</property>
<property>
(配置元数据库的密码)
<name>javax.jdo.option.ConnectionPassword</name>
<value>cdh5</value>
<description>password to use against metastore database</description>
</property>
- 元数据库配置
- CREATE USER cdh5 IDENTIFIED BY 'cdh5';
- CREATE DATABASE cdh5;
- alter database cdh5 character set latin1;
- grant all privileges on *.* to cdh5@"%" identified by "cdh5";
- flush privileges;
- scp mysql-connector-java-5.1.26.jar cdh5@10.1.253.99:/home/cdh5/app/ochadoop-och3.0.0-SNAPSHOT/hive-0.12.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/lib/
- ./deploy.sh app/ochadoop-och3.0.0-SNAPSHOT/hive-0.12.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT app/ochadoop-och3.0.0-SNAPSHOT/ hive
- nohup ./hiveserver2 &
- jdbc:
- jdbc:hive2://10.1.253.99:10000/default
- org.apache.hive.jdbc.HiveDriver
- lib: Hadoop和hive下所有jar包
- !connect jdbc:hive2://10.1.253.99:10000/default
- Enter username:dmp
- Enter password:dmp
- show tables;
- +--------------+
- | tab_name |
- +--------------+
- | shaoaq_test |
- +--------------+
- select * from shaoaq_test;
- +-----+
- | id |
- +-----+
- +-----+
- 上传jdbc jar包
- 分发
- 启动
- 验证
5. hbase
- 配置
- vim app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/regionservers
- ocdata05
- ocdata06
- ocdata07
- vim app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/backup-masters
- ocdata08
- vim app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/hbase-site.xml
- <property>
- <name>hbase.rootdir</name>
- <value>hdfs://cdh5cluster/hbase</value>
- </property>
- <property>
- <name>hbase.cluster.distributed</name>
- <value>true</value>
- </property>
- <property>
- <name>hbase.zookeeper.quorum</name>
- <value>ocdata09</value>
- </property>
- <property>
- <name>hbase.zookeeper.property.clientPort</name>
- <value>2183</value>
- </property>
- <property>
- <name>hbase.regionserver.port</name>
- <value>60328</value>
- </property>
- <property>
- <name>hbase.regionserver.info.port</name>
- <value>62131</value>
- </property>
- vim app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf/hbase-env.sh
- export JAVA_HOME=/home/cdh5/app/jdk1.7.0_51
- export HBASE_CLASSPATH=/home/cdh5/app/ochadoop-och3.0.0-SNAPSHOT/hadoop-2.2.0-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/etc/hadoop
- export HBASE_HOME=/home/cdh5/app/hbase
- export HADOOP_HOME=/home/cdh5/app/hadoop
- export HADOOP_CONF_DIR=${HADOOP_HOME}/conf
- export HBASE_LIBRARY_PATH=${HBASE_HOME}/lib/native
- export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${HBASE_HOME}/lib/native
- export HBASE_MANAGES_ZK=false
- ./deploy.sh app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/conf app/ochadoop-och3.0.0-SNAPSHOT/hbase-0.96.1.1-cdh5.0.0-beta-2-och3.0.0-SNAPSHOT/ all
- ./start-hbase.sh
- ./hbase shell
- create 'hb_test', 'cf'
- put 'hb_test','row1','cf:a','123'
- get 'hb_test','row1'
- COLUMN CELL
- cf:a timestamp=1395204538429, value=123
- 1 row(s) in 0.0490 seconds
- quit
- ./stop-hbase.sh
- 分发配置
- 启动
- 验证
- 停止
5. spark
spark当前可解压即用，yarn-client模式无需分发，只需修改客户端若干配置；
- spark-1.1.0 on yarn的几个配置说明如下：
- vim spark-env.sh
- MASTER：部署模式，yarn-client/yarn-cluster/local
- HADOOP_CONF_DIR：（必填）hadoop配置文件目录
- SCALA_HOME：scala安装路径
- SPARK_EXECUTOR_INSTANCES：spark申请的yarn worker总数
- SPARK_EXECUTOR_CORES：每个worker申请的vcore数目
- SPARK_EXECUTOR_MEMORY：每个worker申请的内存大小
- SPARK_DRIVER_MEMORY：spark申请的appMaster内存大小
- SPARK_YARN_APP_NAME：yarn中显示的spark任务名称
- SPARK_YARN_QUEUE：spark任务队列
- SPARK_SUBMIT_LIBRARY_PATH：spark任务执行时需要的库目录，如hadoop的native目录
- SPARK_CLASSPATH：spark任务的classpath
- SPARK_JAVA_OPTS：JVM进程参数，如gc类型、gc日志、dmp输出等
- SPARK_HISTORY_OPTS：spark history-server配置参数，一般需要指定webUI端口、记录个数以及Event存储目录等
- vim spark-defaults.conf
- spark.local.dir：spark任务执行时的本地临时目录
- spark.yarn.executor.memoryOverhead：每个worker的堆外内存大小，单位MB，yarn模式下需配置以防止内存溢出
- spark.eventLog.enabled：是否记录Spark事件，用 于应用程序在完成后重构webUI
- spark.eventLog.dir：保存日志相关信息的路径，可以是hdfs://开头的HDFS路径，也可以是file://开头的本地路径，都需要提前创建
- spark.eventLog.compress：是否压缩记录Spark事件，前提spark.eventLog.enabled为true，默认使用snappy
- 启停thrift-server：
使用spark-sql/thrift-server组件前需将hive-site.xml复制到$SPARK_HOME/conf目录下以使用hive的元数据和若干配置如server端口，可能需要去掉其中的一些多余或不支持的配置项，请留意；
$SPARK_HOME/sbin/start-thriftserver.sh
$SPARK_HOME/sbin/stop-thriftserver.sh
- 启停history-server：
- $SPARK_HOME/sbin/start-history-server.sh
- $SPARK_HOME/sbin/stop-history-server.sh
- 注意：
- 如hadoop中启用了lzo压缩需将hadoop-lzo-*.jar复制到SPARK_HOME/lib/目录下；
- SPARK-1.1.0版本中spark-examples-*.jar关联的thrift版本与spark-assembly-*.jar不一致，需删除；
- 配置样例：
spark-env.sh
MASTER="yarn-client"
SPARK_HOME=/home/ochadoop/app/spark
SCALA_HOME=/home/ochadoop/app/scala
JAVA_HOME=/home/ochadoop/app/jdk
HADOOP_HOME=/home/ochadoop/app/hadoop
HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
SPARK_EXECUTOR_INSTANCES=50
SPARK_EXECUTOR_CORES=2
SPARK_EXECUTOR_MEMORY=4G
SPARK_DRIVER_MEMORY=3G
SPARK_YARN_APP_NAME="Spark-1.1.0"
#export SPARK_YARN_QUEUE="default"
SPARK_SUBMIT_LIBRARY_PATH=$SPARK_LIBRARY_PATH:$HADOOP_HOME/lib/native
SPARK_JAVA_OPTS="-verbose:gc -XX:-UseGCOverheadLimit -XX:+UseCompressedOops -XX:-PrintGCDetails -XX:+PrintGCTimeStamps $SPARK_JAVA_OPTS -XX:+HeapDumpOnOutOfMemoryError -XX:HeapDumpPath=/home/ochadoop/app/spark/`date +%m%d%H%M%S`.hprof"
export SPARK_HISTORY_OPTS="-Dspark.history.ui.port=18080 -Dspark.history.retainedApplications=1000 -Dspark.history.fs.logDirectory=hdfs://testcluster/eventLog"
spark-defaults.conf
spark.serializer org.apache.spark.serializer.KryoSerializer
spark.local.dir /data2/ochadoop/data/pseudo-dist/spark/local,/data3/ochadoop/data/pseudo-dist/spark/local
spark.io.compression.codec snappy
spark.speculation false
spark.yarn.executor.memoryOverhead 512
#spark.storage.memoryFraction 0.4
spark.eventLog.enabled true
spark.eventLog.dir hdfs://testcluster/eventLog
spark.eventLog.compress true
如下命令都是用root身份安装，或者在命令前加上sudo
采用yum安装方式安装
yum install mysql #安装mysql客户端
yum install mysql-server #安装mysql服务端
判断MySQL是否已经安装好：
chkconfig --list|grep mysql
启动mysql服务：
service mysqld start或者/etc/init.d/mysqld start
检查是否启动mysql服务：
/etc/init.d/mysqld status
设置MySQL开机启动：
chkconfig mysqld on
检查设置MySQL开机启动是否配置成功：
chkconfig --list|grep mysql
显示2 3 4 5为on
创建root管理员
mysqladmin -uroot password root
登录
mysql -uroot -proot
