Hadoop 環境搭建
參考資料:
http://hadoop.apache.org/docs/r2.4.1/hadoop-project-dist/hadoop-common/ClusterSetup.html
http://hadoop.apache.org/docs/r2.4.1/hadoop-yarn/hadoop-yarn-common/yarn-default.xml
http://hadoop.apache.org/docs/r2.4.1/hadoop-project-dist/hadoop-hdfs/hdfs-default.xml
下載 2.4.1 bin 包, 解壓好以后按照鏈接上配置各個配置文件, 啟動時會遇到 "Unable to load realm info from SCDynamicStore" 的問題, 這個問題需要在 hadoop-env.sh 中加入如下配置(配置 HBase 的時候也會遇到這個問題, 使用同樣的方法在 hbase-env.sh 中加入如下配置解決)
hadoop-env.sh(hbase-env.sh) 配置, 增加
export JAVA_HOME="/System/Library/Java/JavaVirtualMachines/1.6.0.jdk/Contents/Home" export HBASE_OPTS="-Djava.security.krb5.realm=OX.AC.UK -Djava.security.krb5.kdc=kdc0.ox.ac.uk:kdc1.ox.ac.uk"
最后自己寫一下啟動和停止腳本
hadoop-start.sh
#!/bin/bash HADOOP_PREFIX="/Users/zhenweiliu/Work/Software/hadoop-2.4.1" HADOOP_YARN_HOME="/Users/zhenweiliu/Work/Software/hadoop-2.4.1" HADOOP_CONF_DIR="/Users/zhenweiliu/Work/Software/hadoop-2.4.1/etc/hadoop" cluster_name="hadoop_cat"
# Format a new distributed filesystem
if [ "$1" == "format" ]; then
$HADOOP_PREFIX/bin/hdfs namenode -format $cluster_name
fi
# Start the HDFS with the following command, run on the designated NameNode: $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start namenode # Run a script to start DataNodes on all slaves: $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs start datanode # Start the YARN with the following command, run on the designated ResourceManager: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start resourcemanager # Run a script to start NodeManagers on all slaves: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR start nodemanager # Start a standalone WebAppProxy server. If multiple servers are used with load balancing it should be run on each of them: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh start proxyserver --config $HADOOP_CONF_DIR # Start the MapReduce JobHistory Server with the following command, run on the designated server: $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh start historyserver --config $HADOOP_CONF_DIR
hadoop-stop.sh
#!/bin/bash HADOOP_PREFIX="/Users/zhenweiliu/Work/Software/hadoop-2.4.1" HADOOP_YARN_HOME="/Users/zhenweiliu/Work/Software/hadoop-2.4.1" HADOOP_CONF_DIR="/Users/zhenweiliu/Work/Software/hadoop-2.4.1/etc/hadoop" cluster_name="hadoop_cat" # Stop the NameNode with the following command, run on the designated NameNode: $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop namenode # Run a script to stop DataNodes on all slaves: $HADOOP_PREFIX/sbin/hadoop-daemon.sh --config $HADOOP_CONF_DIR --script hdfs stop datanode # Stop the ResourceManager with the following command, run on the designated ResourceManager: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop resourcemanager # Run a script to stop NodeManagers on all slaves: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh --config $HADOOP_CONF_DIR stop nodemanager # Stop the WebAppProxy server. If multiple servers are used with load balancing it should be run on each of them: $HADOOP_YARN_HOME/sbin/yarn-daemon.sh stop proxyserver --config $HADOOP_CONF_DIR # Stop the MapReduce JobHistory Server with the following command, run on the designated server: $HADOOP_PREFIX/sbin/mr-jobhistory-daemon.sh stop historyserver --config $HADOOP_CONF_DIR
hadoop-restart.sh
#!/bin/bash ./hadoop-stop.sh ./hadoop-start.sh
最后是我的各項需要配置的 hadoop 配置
core-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. See accompanying LICENSE file. --> <!-- Put site-specific property overrides in this file. --> <configuration> <property> <name>fs.defaultFS</name> <value>hdfs://localhost:9000</value> </property> <property> <name>io.file.buffer.size</name> <value>131072</value> </property> </configuration>
hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. See accompanying LICENSE file. --> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- NameNode Configurations --> <property> <name>dfs.datanode.max.xcievers</name> <value>4096</value> </property> <property> <name>dfs.datanode.datadir</name> <value>file:///Users/zhenweiliu/Work/Software/hadoop-2.4.1/data</value> </property> <property> <name>dfs.blocksize</name> <value>67108864</value> </property> <property> <name>dfs.namenode.handler.count</name> <value>100</value> </property> <!-- Datanode Configurations --> <property> <name>dfs.namenode.name.dir</name> <value>file:///Users/zhenweiliu/Work/Software/hadoop-2.4.1/name</value> </property> </configuration>
yarn-site.xml
?xml version="1.0"?> <!-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. See accompanying LICENSE file. --> <configuration> <!-- ResourceManager and NodeManager Configurations --> <property> <name>yarn.acl.enable</name> <value>false</value> </property> <property> <name>yarn.acl.enable</name> <value>false</value> </property> <!-- ResourceManager Configurations --> <property> <name>yarn.resourcemanager.address</name> <value>localhost:9001</value> </property> <property> <name>yarn.resourcemanager.scheduler.address</name> <value>localhost:9002</value> </property> <property> <name>yarn.resourcemanager.resource-tracker.address</name> <value>localhost:9003</value> </property> <property> <name>yarn.resourcemanager.admin.address</name> <value>localhost:9004</value> </property> <property> <name>yarn.resourcemanager.webapp.address</name> <value>localhost:9005</value> </property> <property> <name>yarn.resourcemanager.scheduler.class</name> <value>CapacityScheduler</value> </property> <property> <name>yarn.scheduler.minimum-allocation-mb</name> <value>1024</value> </property> <property> <name>yarn.scheduler.maximum-allocation-mb</name> <value>8192</value> </property> <!-- NodeManager Configurations --> <property> <name>yarn.nodemanager.resource.memory-mb</name> <value>8192</value> </property> <property> <name>yarn.nodemanager.vmem-pmem-ratio</name> <value>2.1</value> </property> <property> <name>yarn.nodemanager.local-dirs</name> <value>${hadoop.tmp.dir}/nm-local-dir</value> </property> <property> <name>yarn.nodemanager.log-dirs</name> <value>${yarn.log.dir}/userlogs</value> </property> <property> <name>yarn.nodemanager.log.retain-seconds</name> <value>10800</value> </property> <property> <name>yarn.nodemanager.remote-app-log-dir</name> <value>/logs</value> </property> <property> <name>yarn.nodemanager.remote-app-log-dir-suffix</name> <value>logs</value> </property> <property> <name>yarn.nodemanager.aux-services</name> <value>mapreduce_shuffle</value> </property> <!-- History Server Configurations --> <property> <name>yarn.log-aggregation.retain-seconds</name> <value>-1</value> </property> <property> <name>yarn.log-aggregation.retain-check-interval-seconds</name> <value>-1</value> </property> </configuration>
mapred-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. See accompanying LICENSE file. --> <!-- Put site-specific property overrides in this file. --> <configuration> <!-- Configurations for MapReduce Applications --> <property> <name>mapreduce.framework.name</name> <value>yarn</value> </property> <property> <name>mapreduce.map.memory.mb</name> <value>1536</value> </property> <property> <name>mapreduce.map.java.opts</name> <value>-Xmx1024M</value> </property> <property> <name>mapreduce.reduce.memory.mb</name> <value>3072</value> </property> <property> <name>mapreduce.reduce.java.opts</name> <value>-Xmx2560M</value> </property> <property> <name>mapreduce.task.io.sort.mb</name> <value>512</value> </property> <property> <name>mapreduce.task.io.sort.factor</name> <value>100</value> </property> <property> <name>mapreduce.reduce.shuffle.parallelcopies</name> <value>50</value> </property> <!-- Configurations for MapReduce JobHistory Server --> <property> <name>mapreduce.jobhistory.address</name> <value>localhost:10020</value> </property> <property> <name>mapreduce.jobhistory.webapp.address</name> <value>localhost:19888</value> </property> <property> <name>mapreduce.jobhistory.intermediate-done-dir</name> <value>file:////Users/zhenweiliu/Work/Software/hadoop-2.4.1/mr-history/tmp</value> </property> <property> <name>mapreduce.jobhistory.done-dir</name> <value>file:////Users/zhenweiliu/Work/Software/hadoop-2.4.1/mr-history/done</value> </property> </configuration>
ZK偽分布式配置
復制 3 個 ZK 實例文件夾, 分別為
zookeeper-3.4.5-1
zookeeper-3.4.5-2
zookeeper-3.4.5-3
每個 ZK 文件下的 zoo.cfg 配置如下
zookeeper-3.4.5-1/zoo.cfg
tickTime=2000 initLimit=10 syncLimit=5 dataDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-1/data dataLogDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-1/logs clientPort=2181 server.1=127.0.0.1:2888:3888 server.2=127.0.0.1:2889:3889 server.3=127.0.0.1:2890:3890
zookeeper-3.4.5-2/zoo.cfg
tickTime=2000 initLimit=10 syncLimit=5 dataDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-2/data dataLogDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-2/logs clientPort=2182 server.1=127.0.0.1:2888:3888 server.2=127.0.0.1:2889:3889 server.3=127.0.0.1:2890:3890
zookeeper-3.4.5-3/zoo.cfg
tickTime=2000 initLimit=10 syncLimit=5 dataDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-3/data dataLogDir=/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5-3/logs clientPort=2183 server.1=127.0.0.1:2888:3888 server.2=127.0.0.1:2889:3889 server.3=127.0.0.1:2890:3890
然后在每個實例的 data 文件夾下創建一個文件 myid, 文件內分別寫入 1, 2, 3 三個字符, 例如
zookeeper-3.4.5-1/data/myid
1
最后做一個批量啟動, 停止腳本
startZkCluster.sh
#!/bin/bash BASE_DIR="/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5" BIN_EXEC="bin/zkServer.sh start" for no in $(seq 1 3) do $BASE_DIR"-"$no/$BIN_EXEC done
stopZkCluster.sh
#!/bin/bash BASE_DIR="/Users/zhenweiliu/Work/Software/zookeeper/zookeeper-3.4.5" BIN_EXEC="bin/zkServer.sh stop" for no in $(seq 1 3) do $BASE_DIR"-"$no/$BIN_EXEC done
restartZkCluster.sh
#!/bin/bash ./stopZkCluster.sh ./startZkCluster.sh
HBase
參考資料:
http://abloz.com/hbase/book.html
實際上 HBase 內置了 ZK, 如果不顯式指定 ZK 的配置, 他會使用內置的 ZK, 這個 ZK 會隨着 HBase 啟動而啟動
hbase-env.sh 中顯式啟動內置 ZK
export HBASE_MANAGES_ZK=true
hbase-site.xml
<?xml version="1.0"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <!-- /** * * Licensed to the Apache Software Foundation (ASF) under one * or more contributor license agreements. See the NOTICE file * distributed with this work for additional information * regarding copyright ownership. The ASF licenses this file * to you under the Apache License, Version 2.0 (the * "License"); you may not use this file except in compliance * with the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ --> <configuration> <!-- <property> <name>hbase.rootdir</name> <value>file:///Users/zhenweiliu/Work/Software/hbase-0.98.3-hadoop2/hbase</value> </property> --> <property> <name>hbase.rootdir</name> <value>hdfs://localhost:9000/hbase</value> <description>The directory shared by RegionServers.</description> </property> <property> <name>dfs.replication</name> <value>1</value> <description>The replication count for HLog and HFile storage. Should not be greater than HDFS datanode count.</description> </property> <property> <name>hbase.zookeeper.quorum</name> <value>localhost</value> </property> <property> <name>hbase.zookeeper.property.dataDir</name> <value>/Users/zhenweiliu/Work/Software/hbase-0.98.3-hadoop2/zookeeper</value> </property> <property> <name>hbase.zookeeper.property.clientPort</name> <value>2222</value> <description>Property from ZooKeeper's config zoo.cfg. The port at which the clients will connect. </description> </property> <property> <name>hbase.cluster.distributed</name> <value>true</value> </property> </configuration>
最后啟動 hbase
./start-hbase.sh
系統參數
另外, hbase 需要大得 processes 數以及 open files 數, 所以需要修改 ulimit, 我的 mac 下增加 /etc/launchd.conf 文件, 文件內容
limit maxfiles 16384 16384 limit maxproc 2048 2048
在 /etc/profile 添加
ulimit -n 16384 ulimit -u 2048
如果 hbase 出現
2014-07-14 23:00:48,342 WARN [main] util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable ERROR: org.apache.hadoop.hbase.ipc.ServerNotRunningYetException: Server is not running yet at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:90) at org.apache.hadoop.hbase.ipc.FifoRpcScheduler$1.run(FifoRpcScheduler.java:73) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:439) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:895) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:918) at java.lang.Thread.run(Thread.java:695)
1. 查看 hbase master log, 發現
2014-07-14 23:31:51,270 INFO [master:192.168.126.8:60000] util.FSUtils: Waiting for dfs to exit safe mode...
退出 hadoop 安全模式
bin/hdfs dfsadmin -safemode leave
master log 報錯
2014-07-14 23:32:22,238 WARN [master:192.168.126.8:60000] hdfs.DFSClient: DFS Read
org.apache.hadoop.hdfs.BlockMissingException: Could not obtain block: BP-1761102757-192.168.126.8-1404787541755:blk_1073741825_1001 file=/hbase/hbase.version
檢查 hdfs
./hdfs fsck / -files -blocks
14/07/14 23:36:32 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Connecting to namenode via http://localhost:50070 FSCK started by zhenweiliu (auth:SIMPLE) from /127.0.0.1 for path / at Mon Jul 14 23:36:33 CST 2014 . /hbase/WALs/192.168.126.8,60020,1404917152583-splitting/192.168.126.8%2C60020%2C1404917152583.1404917158940: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741842 /hbase/WALs/192.168.126.8,60020,1404917152583-splitting/192.168.126.8%2C60020%2C1404917152583.1404917158940: MISSING 1 blocks of total size 17 B.. /hbase/WALs/192.168.126.8,60020,1404917152583-splitting/192.168.126.8%2C60020%2C1404917152583.1404917167188.meta: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741843 /hbase/WALs/192.168.126.8,60020,1404917152583-splitting/192.168.126.8%2C60020%2C1404917152583.1404917167188.meta: MISSING 1 blocks of total size 401 B.. /hbase/data/hbase/meta/.tabledesc/.tableinfo.0000000001: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741829 /hbase/data/hbase/meta/.tabledesc/.tableinfo.0000000001: MISSING 1 blocks of total size 372 B.. /hbase/data/hbase/meta/1588230740/.regioninfo: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741827 /hbase/data/hbase/meta/1588230740/.regioninfo: MISSING 1 blocks of total size 30 B.. /hbase/data/hbase/meta/1588230740/info/e63bf8b1e649450895c36f28fb88da98: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741836 /hbase/data/hbase/meta/1588230740/info/e63bf8b1e649450895c36f28fb88da98: MISSING 1 blocks of total size 1340 B.. /hbase/data/hbase/meta/1588230740/oldWALs/hlog.1404787632739: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741828 /hbase/data/hbase/meta/1588230740/oldWALs/hlog.1404787632739: MISSING 1 blocks of total size 17 B.. /hbase/data/hbase/namespace/.tabledesc/.tableinfo.0000000001: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741832 /hbase/data/hbase/namespace/.tabledesc/.tableinfo.0000000001: MISSING 1 blocks of total size 286 B.. /hbase/data/hbase/namespace/a3fbb84530e05cab6319257d03975e6b/.regioninfo: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741833 /hbase/data/hbase/namespace/a3fbb84530e05cab6319257d03975e6b/.regioninfo: MISSING 1 blocks of total size 40 B.. /hbase/data/hbase/namespace/a3fbb84530e05cab6319257d03975e6b/info/770eb1a6dc76458fb97e9213edb80b72: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741837 /hbase/data/hbase/namespace/a3fbb84530e05cab6319257d03975e6b/info/770eb1a6dc76458fb97e9213edb80b72: MISSING 1 blocks of total size 1045 B.. /hbase/hbase.id: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741826 /hbase/hbase.id: MISSING 1 blocks of total size 42 B.. /hbase/hbase.version: CORRUPT blockpool BP-1761102757-192.168.126.8-1404787541755 block blk_1073741825 /hbase/hbase.version: MISSING 1 blocks of total size 7 B.Status: CORRUPT Total size: 3597 B Total dirs: 21 Total files: 11 Total symlinks: 0 Total blocks (validated): 11 (avg. block size 327 B) ******************************** CORRUPT FILES: 11 MISSING BLOCKS: 11 MISSING SIZE: 3597 B CORRUPT BLOCKS: 11 ******************************** Minimally replicated blocks: 0 (0.0 %) Over-replicated blocks: 0 (0.0 %) Under-replicated blocks: 0 (0.0 %) Mis-replicated blocks: 0 (0.0 %) Default replication factor: 3 Average block replication: 0.0 Corrupt blocks: 11 Missing replicas: 0 Number of data-nodes: 1 Number of racks: 1 FSCK ended at Mon Jul 14 23:36:33 CST 2014 in 15 milliseconds The filesystem under path '/' is CORRUPT
執行刪除
./hdfs fsck -delete
14/07/14 23:41:45 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Connecting to namenode via http://localhost:50070 FSCK started by zhenweiliu (auth:SIMPLE) from /127.0.0.1 for path / at Mon Jul 14 23:41:46 CST 2014 Status: HEALTHY Total size: 0 B Total dirs: 21 Total files: 0 Total symlinks: 0 Total blocks (validated): 0 Minimally replicated blocks: 0 Over-replicated blocks: 0 Under-replicated blocks: 0 Mis-replicated blocks: 0 Default replication factor: 3 Average block replication: 0.0 Corrupt blocks: 0 Missing replicas: 0 Number of data-nodes: 1 Number of racks: 1 FSCK ended at Mon Jul 14 23:41:46 CST 2014 in 4 milliseconds The filesystem under path '/' is HEALTHY
這時發現 hbase 掛了, 查看 master log
2014-07-14 23:48:53,788 FATAL [master:192.168.126.8:60000] master.HMaster: Unhandled exception. Starting shutdown. org.apache.hadoop.hbase.util.FileSystemVersionException: HBase file layout needs to be upgraded. You have version null and I want version 8. Is your hbase.rootdir valid? If so, you may need to run 'hbase hbck -fixVersionFile'. at org.apache.hadoop.hbase.util.FSUtils.checkVersion(FSUtils.java:602) at org.apache.hadoop.hbase.master.MasterFileSystem.checkRootDir(MasterFileSystem.java:456) at org.apache.hadoop.hbase.master.MasterFileSystem.createInitialFileSystemLayout(MasterFileSystem.java:147) at org.apache.hadoop.hbase.master.MasterFileSystem.<init>(MasterFileSystem.java:128) at org.apache.hadoop.hbase.master.HMaster.finishInitialization(HMaster.java:802) at org.apache.hadoop.hbase.master.HMaster.run(HMaster.java:615) at java.lang.Thread.run(Thread.java:695)
重建一下 hdfs/hbase 文件
bin/hadoop fs -rm -r /hbase
hbase master 報錯
2014-07-14 23:56:33,999 INFO [master:192.168.126.8:60000] catalog.CatalogTracker: Failed verification of hbase:meta,,1 at address=192.168.126.8,60020,1405352769509, exception=org.apache.hadoop.hbase.NotServingRegionException: org.apache.hadoop.hbase.NotServingRegionException: Region hbase:meta,,1 is not online on 192.168.126.8,60020,1405353371628 at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegionByEncodedName(HRegionServer.java:2683) at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegion(HRegionServer.java:4117) at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegionInfo(HRegionServer.java:3494) at org.apache.hadoop.hbase.protobuf.generated.AdminProtos$AdminService$2.callBlockingMethod(AdminProtos.java:20036) at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:2012) at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:98) at org.apache.hadoop.hbase.ipc.SimpleRpcScheduler.consumerLoop(SimpleRpcScheduler.java:168) at org.apache.hadoop.hbase.ipc.SimpleRpcScheduler.access$000(SimpleRpcScheduler.java:39) at org.apache.hadoop.hbase.ipc.SimpleRpcScheduler$1.run(SimpleRpcScheduler.java:111) at java.lang.Thread.run(Thread.java:695)
重建 region sever 節點
bin/hbase zkcli
rmr /hbase/meta-region-server
再次重啟 hbase, 解決
HBase 重要參數
這些參數在 hbase-site.xml 里配置
1. zookeeper.session.timeout
這個默認值是3分鍾。這意味着一旦一個server宕掉了，Master至少需要3分鍾才能察覺到宕機，開始恢復。你可能希望將這個超時調短，這樣Master就能更快的察覺到了。在你調這個值之前，你需要確認你的JVM的GC參數，否則一個長時間的GC操作就可能導致超時。（當一個RegionServer在運行一個長時間的GC的時候，你可能想要重啟並恢復它）.
要想改變這個配置，可以編輯 hbase-site.xml, 將配置部署到全部集群，然后重啟。
我們之所以把這個值調的很高，是因為我們不想一天到晚在論壇里回答新手的問題。“為什么我在執行一個大規模數據導入的時候Region Server死掉啦”，通常這樣的問題是因為長時間的GC操作引起的，他們的JVM沒有調優。我們是這樣想的，如果一個人對HBase不很熟悉，不能期望他知道所有，打擊他的自信心。等到他逐漸熟悉了，他就可以自己調這個參數了。
2. hbase.regionserver.handler.count
這個設置決定了處理用戶請求的線程數量。默認是10，這個值設的比較小，主要是為了預防用戶用一個比較大的寫緩沖，然后還有很多客戶端並發，這樣region servers會垮掉。有經驗的做法是，當請求內容很大(上MB，如大puts, 使用緩存的scans)的時候，把這個值放低。請求內容較小的時候(gets, 小puts, ICVs, deletes)，把這個值放大。
當客戶端的請求內容很小的時候，把這個值設置的和最大客戶端數量一樣是很安全的。一個典型的例子就是一個給網站服務的集群，put操作一般不會緩沖,絕大多數的操作是get操作。
把這個值放大的危險之處在於，把所有的Put操作緩沖意味着對內存有很大的壓力，甚至會導致OutOfMemory.一個運行在內存不足的機器的RegionServer會頻繁的觸發GC操作，漸漸就能感受到停頓。(因為所有請求內容所占用的內存不管GC執行幾遍也是不能回收的)。一段時間后，集群也會受到影響，因為所有的指向這個region的請求都會變慢。這樣就會拖累集群，加劇了這個問題。
你可能會對handler太多或太少有感覺，可以通過 Section 12.2.2.1, “啟用 RPC級 日志” ，在單個RegionServer啟動log並查看log末尾 (請求隊列消耗內存)。