Hbase高可用集群搭建
2019-08-22 本文已影响0人
NikolasNull
集群资源与角色规划
| node1 | node2 | node3 | node4 | node5 |
|---|---|---|---|---|
| zookeeper | zookeeper | zookeeper | ||
| nn1 | nn2 | |||
| datanode | datanode | datanode | datanode | datanode |
| journal | journal | journal | ||
| rm1 | rm2 | |||
| nodemanager | nodemanager | nodemanager | nodemanager | nodemanager |
| HMaster | HMaster | |||
| HRegionServer | HRegionServer | HRegionServer |
一、编辑 hbase-env.sh 文件
#!/usr/bin/env bash
#
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# * or more contributor license agreements. See the NOTICE file
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# * distributed under the License is distributed on an "AS IS" BASIS,
# * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# Set environment variables here.
# This script sets variables multiple times over the course of starting an hbase process,
# so try to keep things idempotent unless you want to take an even deeper look
# into the startup scripts (bin/hbase, etc.)
# The java implementation to use. Java 1.8+ required.
export JAVA_HOME=/usr/local/java
# Extra Java CLASSPATH elements. Optional.
# export HBASE_CLASSPATH=
# The maximum amount of heap to use. Default is left to JVM default.
export HBASE_HEAPSIZE=2G
# Uncomment below if you intend to use off heap cache. For example, to allocate 8G of
# offheap, set the value to "8G".
# export HBASE_OFFHEAPSIZE=1G
# Extra Java runtime options.
# Below are what we set by default. May only work with SUN JVM.
# For more on why as well as other possible settings,
# see http://hbase.apache.org/book.html#performance
export HBASE_OPTS="$HBASE_OPTS -XX:+UseConcMarkSweepGC"
# Uncomment one of the below three options to enable java garbage collection logging for the server-side processes.
# This enables basic gc logging to the .out file.
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"
# This enables basic gc logging to its own file.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"
# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export SERVER_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"
# Uncomment one of the below three options to enable java garbage collection logging for the client processes.
# This enables basic gc logging to the .out file.
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps"
# This enables basic gc logging to its own file.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH>"
# This enables basic GC logging to its own file with automatic log rolling. Only applies to jdk 1.6.0_34+ and 1.7.0_2+.
# If FILE-PATH is not replaced, the log file(.gc) would still be generated in the HBASE_LOG_DIR .
# export CLIENT_GC_OPTS="-verbose:gc -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Xloggc:<FILE-PATH> -XX:+UseGCLogFileRotation -XX:NumberOfGCLogFiles=1 -XX:GCLogFileSize=512M"
# See the package documentation for org.apache.hadoop.hbase.io.hfile for other configurations
# needed setting up off-heap block caching.
# Uncomment and adjust to enable JMX exporting
# See jmxremote.password and jmxremote.access in $JRE_HOME/lib/management to configure remote password access.
# More details at: http://java.sun.com/javase/6/docs/technotes/guides/management/agent.html
# NOTE: HBase provides an alternative JMX implementation to fix the random ports issue, please see JMX
# section in HBase Reference Guide for instructions.
# export HBASE_JMX_BASE="-Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false"
# export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10101"
# export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10102"
# export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10103"
# export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10104"
# export HBASE_REST_OPTS="$HBASE_REST_OPTS $HBASE_JMX_BASE -Dcom.sun.management.jmxremote.port=10105"
# File naming hosts on which HRegionServers will run. $HBASE_HOME/conf/regionservers by default.
# export HBASE_REGIONSERVERS=${HBASE_HOME}/conf/regionservers
# Uncomment and adjust to keep all the Region Server pages mapped to be memory resident
#HBASE_REGIONSERVER_MLOCK=true
#HBASE_REGIONSERVER_UID="hbase"
# File naming hosts on which backup HMaster will run. $HBASE_HOME/conf/backup-masters by default.
# export HBASE_BACKUP_MASTERS=${HBASE_HOME}/conf/backup-masters
# Extra ssh options. Empty by default.
# export HBASE_SSH_OPTS="-o ConnectTimeout=1 -o SendEnv=HBASE_CONF_DIR"
# Where log files are stored. $HBASE_HOME/logs by default.
export HBASE_LOG_DIR=/home/hadoop/hbase-data/logs
export HBASE_MASTER_OPTS="-Xmx512m"
export HBASE_REGIONSERVER_OPTS="-Xmx1024m"
# Enable remote JDWP debugging of major HBase processes. Meant for Core Developers
# export HBASE_MASTER_OPTS="$HBASE_MASTER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8070"
# export HBASE_REGIONSERVER_OPTS="$HBASE_REGIONSERVER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8071"
# export HBASE_THRIFT_OPTS="$HBASE_THRIFT_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8072"
# export HBASE_ZOOKEEPER_OPTS="$HBASE_ZOOKEEPER_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8073"
# export HBASE_REST_OPTS="$HBASE_REST_OPTS -Xdebug -Xrunjdwp:transport=dt_socket,server=y,suspend=n,address=8074"
# A string representing this instance of hbase. $USER by default.
# export HBASE_IDENT_STRING=$USER
# The scheduling priority for daemon processes. See 'man nice'.
# export HBASE_NICENESS=10
# The directory where pid files are stored. /tmp by default.
export HBASE_PID_DIR=/home/hadoop/hbase-data/hbase-pids
# Seconds to sleep between slave commands. Unset by default. This
# can be useful in large clusters, where, e.g., slave rsyncs can
# otherwise arrive faster than the master can service them.
# export HBASE_SLAVE_SLEEP=0.1
# Tell HBase whether it should manage it's own instance of ZooKeeper or not.
export HBASE_MANAGES_ZK=false
# The default log rolling policy is RFA, where the log file is rolled as per the size defined for the
# RFA appender. Please refer to the log4j.properties file to see more details on this appender.
# In case one needs to do log rolling on a date change, one should set the environment property
# HBASE_ROOT_LOGGER to "<DESIRED_LOG LEVEL>,DRFA".
# For example:
# HBASE_ROOT_LOGGER=INFO,DRFA
# The reason for changing default to RFA is to avoid the boundary case of filling out disk space as
# DRFA doesn't put any cap on the log size. Please refer to HBase-5655 for more context.
二、编辑hbase-site.xml
<configuration>
<property>
<name>hbase.rootdir</name>
<value>hdfs://leo/hbase2</value>
</property>
<property>
<name>hbase.cluster.distributed</name>
<value>true</value>
<description>是否是完全分布式</description>
</property>
<!-- 设置HMaster的rpc端口 -->
<property>
<name>hbase.master.port</name>
<value>16000</value>
</property>
<!-- 设置HMaster的http端口 -->
<property>
<name>hbase.master.info.port</name>
<value>16010</value>
</property>
<!-- 指定缓存文件存储的路径 -->
<property>
<name>hbase.tmp.dir</name>
<value>/home/hadoop/hbase-data/tmp/</value>
</property>
<property>
<name>hbase.zookeeper.quorum</name>
<value>node3,node4,node5</value>
</property>
<property>
<name>hbase.zookeeper.property.clientPort</name>
<value>2181</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/home/hadoop/zookeeper-data/data</value>
<description>property from zoo.cfg,the directory where the snapshot is stored</description>
</property>
<!-- \\\\\\\\\\以下为优化配置项\\\\\\\\\\ -->
<!-- 关闭分布式日志拆分 -->
<property>
<name>hbase.master.distributed.log.splitting</name>
<value>false</value>
</property>
<!-- hbase客户端rpc扫描一次获取的行数 -->
<property>
<name>hbase.client.scanner.caching</name>
<value>2000</value>
</property>
<!-- HRegion分裂前最大的文件大小（10G） -->
<property>
<name>hbase.hregion.max.filesize</name>
<value>10737418240</value>
</property>
<!-- HRegionServer中最大的region数量 -->
<property>
<name>hbase.regionserver.reginoSplitLimit</name>
<value>2000</value>
</property>
<!-- StoreFile的个数超过这个数就开始合并 -->
<property>
<name>hbase.hstore.compactionThreshold</name>
<value>6</value>
</property>
<!-- 当某一个region的storefile个数达到该值则block写入，等待compact -->
<property>
<name>hbase.hstore.blockingStoreFiles</name>
<value>14</value>
</property>
<!-- 超过memstore大小的倍数达到该值则block所有写入请求，自我保护 -->
<property>
<name>hbase.hregion.memstore.block.multiplier</name>
<value>20</value>
</property>
<!-- service工作的sleep间隔 -->
<property>
<name>hbase.server.thread.wakefrequency</name>
<value>500</value>
</property>
<!-- ZooKeeper客户端同时访问的并发连接数 -->
<property>
<name>hbase.zookeeper.property.maxClientCnxns</name>
<value>2000</value>
</property>
<!-- 根据业务情况进行配置 -->
<property>
<name>hbase.regionserver.global.memstore.size.lower.limit</name>
<value>0.3</value>
</property>
<property>
<name>hbase.regionserver.global.memstore.size</name>
<value>0.39</value>
</property>
<property>
<name>hbase.block.cache.size</name>
<value>0.4</value>
</property>
<!-- RegionServer的请求处理IO线程数 -->
<property>
<name>hbase.reginoserver.handler.count</name>
<value>300</value>
</property>
<!-- 客户端最大重试次数 -->
<property>
<name>hbase.client.retries.number</name>
<value>5</value>
</property>
<!-- 客户端重试的休眠时间 -->
<property>
<name>hbase.client.pause</name>
<value>100</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
<description>完全分布式式必须为false</description>
</property>
</configuration>
三、配置regionservers
node3
node4
node5
四、新建backup-masters文件并配置
node2
五、创建hbase的缓存文件目录
mkdir -p /home/hadoop/hbase-data/tmp/
六、创建hbase的日志文件目录
mkdir -p /home/hadoop/hbase-data/logs/
七、创建hbase的pid文件目录
mkdir -p /home/hadoop/hbase-data/hbase-pids/
八、分发hbase至其他节点
scp -r hbase-2.1.3/ hadoop@node2:/home/hadoop/hbase-2.1.3/
九、在集群其余节点上修改环境变量，创建所需目录
export HBASE_HOME=/home/hadoop/hbase-2.1.3
export PATH=$PATH:$HBASE_HOME/bin:$HBASE_HOME/sbin:$PATH
十、删除hbase的slf4j-log4j12-1.7.25.jar，解决hbase和hadoop的LSF4J包冲突
mv /home/hadoop/hbase-2.1.3/lib/client-facing-thirdparty/slf4j-log4j12-1.7.25.jar /home/hadoop/hbase-2.1.3/lib/client-facing-thirdparty/slf4j-log4j12-1.7.25.jar.bk
十一、整合HDFS和HBase
HBase在HDFS上存储数据，所以将hdfs-site.xml和core-site.xml文件复制到hbase的conf目录下。
cp /home/hadoop/hadoop-2.7.4/etc/hadoop/hdfs-site.xml /home/hadoop/hbase-2.1.3/conf/
cp /home/hadoop/hadoop-2.7.4/etc/hadoop/core-site.xml /home/hadoop/hbase-2.1.3/conf/
十二、复制htrace包
cp /home/hadoop/hbase-2.1.3/lib/client-facing-thirdparty/htrace-core-3.1.0-incubating.jar /home/hadoop/hbase-2.1.3/lib/
具体原因请参考HBase HMaster 进程 java.lang.NoClassDefFoundError: org/apache/htrace/SamplerBuilder 解决方法
十三、启动Hbase
我们配置的HBase有5个节点，启动hbase时，在哪个节点启动哪个节点就是hmaster。
在node1节点上运行命令：
start-hbase.sh
jps 查看相关进程
web ui查看HBASE集群信息
hbase
hbase shell
hbase-shell
总结
以上便是hbase高可用集群的搭建及配置过程，具体的使用或其他操作，请参考其他文档。
