Kafka:ZK+Kafka+Spark Streaming集群环境搭建(五)针对hadoop2.9.0启动之后发现slave上正常启动了DataNode,DataManager,但是过了几秒后发现DataNode被关闭
启动之后发现slave上正常启动了DataNode,DataManager,但是过了几秒后发现DataNode被关闭
以slave1上错误日期为例查看错误信息:
more /opt/hadoop-2.9.0/logs/hadoop-spark-datanode-slave1.log
找到错误信息:
2018-06-30 22:29:50,944 WARN org.apache.hadoop.hdfs.server.common.Storage: Failed to add storage directory [DISK]file:/opt/hadoop-2.9.0/dfs/data/ java.io.IOException: Incompatible clusterIDs in /opt/hadoop-2.9.0/dfs/data: namenode clusterID = CID-f1195fc7-ca7c-4a2a-b32f-211131a5d699; datanode clusterID = CID-292293a6-9c34-4de7-aecd-d72657a26dd5 at org.apache.hadoop.hdfs.server.datanode.DataStorage.doTransition(DataStorage.java:760) at org.apache.hadoop.hdfs.server.datanode.DataStorage.loadStorageDirectory(DataStorage.java:293) at org.apache.hadoop.hdfs.server.datanode.DataStorage.loadDataStorage(DataStorage.java:409) at org.apache.hadoop.hdfs.server.datanode.DataStorage.addStorageLocations(DataStorage.java:388) at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:556) at org.apache.hadoop.hdfs.server.datanode.DataNode.initStorage(DataNode.java:1649) at org.apache.hadoop.hdfs.server.datanode.DataNode.initBlockPool(DataNode.java:1610) at org.apache.hadoop.hdfs.server.datanode.BPOfferService.verifyAndSetNamespaceInfo(BPOfferService.java:374) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.connectToNNAndHandshake(BPServiceActor.java:280) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.run(BPServiceActor.java:816) at java.lang.Thread.run(Thread.java:748) 2018-06-30 22:29:50,948 ERROR org.apache.hadoop.hdfs.server.datanode.DataNode: Initialization failed for Block pool <registering> (Datanode Uuid f4badff3-7a0b-4db0-bd77-83b370f67eed) service to master/192 .168.0.120:9000. Exiting. java.io.IOException: All specified directories have failed to load. at org.apache.hadoop.hdfs.server.datanode.DataStorage.recoverTransitionRead(DataStorage.java:557) at org.apache.hadoop.hdfs.server.datanode.DataNode.initStorage(DataNode.java:1649) at org.apache.hadoop.hdfs.server.datanode.DataNode.initBlockPool(DataNode.java:1610) at org.apache.hadoop.hdfs.server.datanode.BPOfferService.verifyAndSetNamespaceInfo(BPOfferService.java:374) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.connectToNNAndHandshake(BPServiceActor.java:280) at org.apache.hadoop.hdfs.server.datanode.BPServiceActor.run(BPServiceActor.java:816) at java.lang.Thread.run(Thread.java:748) 2018-06-30 22:29:50,948 WARN org.apache.hadoop.hdfs.server.datanode.DataNode: Ending block pool service for: Block pool <registering> (Datanode Uuid f4badff3-7a0b-4db0-bd77-83b370f67eed) service to master /192.168.0.120:9000 2018-06-30 22:29:51,060 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: Removed Block pool <registering> (Datanode Uuid f4badff3-7a0b-4db0-bd77-83b370f67eed) 2018-06-30 22:29:53,060 WARN org.apache.hadoop.hdfs.server.datanode.DataNode: Exiting Datanode 2018-06-30 22:29:53,064 INFO org.apache.hadoop.hdfs.server.datanode.DataNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down DataNode at slave1/192.168.0.121 ************************************************************/
解决方案
错误问题原因:多次格式化导致的。
1)在master执行sbin/stop-all.sh,关闭hadoop:
cd /opt/hadoop-2.9.0 sbin/stop-all.sh
2)依次在master,slave1,slave2,slave3上执行以下命令:
cd /opt/hadoop-2.9.0 rm -r dfs rm -r logs rm -r tmp
3)在master上重新格式化hadoop,重新启动hadoop
cd /opt/hadoop-2.9.0 #进入hadoop目录 bin/hadoop namenode -format #格式化namenode sbin/start-all.sh #启动dfs [spark@master hadoop-2.9.0]$ cd /opt/hadoop-2.9.0 #进入hadoop目录 [spark@master hadoop-2.9.0]$ bin/hadoop namenode -format #格式化namenode sbin/start-all.sh #启动dfs DEPRECATED: Use of this script to execute hdfs command is deprecated. Instead use the hdfs command for it. 18/06/30 22:45:20 INFO namenode.NameNode: STARTUP_MSG: /************************************************************ STARTUP_MSG: Starting NameNode STARTUP_MSG: host = master/192.168.0.120 STARTUP_MSG: args = [-format] STARTUP_MSG: version = 2.9.0 STARTUP_MSG: classpath = /opt/hadoop-2.9.0/etc/hadoop:/opt/hadoop-2.9.0/share/hadoop/common/lib/nimbus-jose-jwt-3.9.jar:/opt/hadoop-2.9.0/share/hadoop/common/lib/java-xmlbuilder-0.4.jar:/opt/hadoop-... STARTUP_MSG: build = https://git-wip-us.apache.org/repos/asf/hadoop.git -r 756ebc8394e473ac25feac05fa493f6d612e6c50; compiled by 'arsuresh' on 2017-11-13T23:15Z STARTUP_MSG: java = 1.8.0_171 ************************************************************/ 18/06/30 22:45:20 INFO namenode.NameNode: registered UNIX signal handlers for [TERM, HUP, INT] 18/06/30 22:45:20 INFO namenode.NameNode: createNameNode [-format] Formatting using clusterid: CID-d4e2f108-de3c-4910-9eeb-abbbb1024fe8 18/06/30 22:45:20 INFO namenode.FSEditLog: Edit logging is async:true 18/06/30 22:45:20 INFO namenode.FSNamesystem: KeyProvider: null 18/06/30 22:45:20 INFO namenode.FSNamesystem: fsLock is fair: true 18/06/30 22:45:20 INFO namenode.FSNamesystem: Detailed lock hold time metrics enabled: false 18/06/30 22:45:20 INFO namenode.FSNamesystem: fsOwner = spark (auth:SIMPLE) 18/06/30 22:45:20 INFO namenode.FSNamesystem: supergroup = supergroup 18/06/30 22:45:20 INFO namenode.FSNamesystem: isPermissionEnabled = true 18/06/30 22:45:20 INFO namenode.FSNamesystem: HA Enabled: false 18/06/30 22:45:20 INFO common.Util: dfs.datanode.fileio.profiling.sampling.percentage set to 0. Disabling file IO profiling 18/06/30 22:45:20 INFO blockmanagement.DatanodeManager: dfs.block.invalidate.limit: configured=1000, counted=60, effected=1000 18/06/30 22:45:20 INFO blockmanagement.DatanodeManager: dfs.namenode.datanode.registration.ip-hostname-check=true 18/06/30 22:45:20 INFO blockmanagement.BlockManager: dfs.namenode.startup.delay.block.deletion.sec is set to 000:00:00:00.000 18/06/30 22:45:20 INFO blockmanagement.BlockManager: The block deletion will start around 2018 Jun 30 22:45:20 18/06/30 22:45:20 INFO util.GSet: Computing capacity for map BlocksMap 18/06/30 22:45:20 INFO util.GSet: VM type = 64-bit 18/06/30 22:45:20 INFO util.GSet: 2.0% max memory 889 MB = 17.8 MB 18/06/30 22:45:20 INFO util.GSet: capacity = 2^21 = 2097152 entries 18/06/30 22:45:20 INFO blockmanagement.BlockManager: dfs.block.access.token.enable=false 18/06/30 22:45:20 WARN conf.Configuration: No unit for dfs.namenode.safemode.extension(30000) assuming MILLISECONDS 18/06/30 22:45:20 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.threshold-pct = 0.9990000128746033 18/06/30 22:45:20 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.min.datanodes = 0 18/06/30 22:45:20 INFO blockmanagement.BlockManagerSafeMode: dfs.namenode.safemode.extension = 30000 18/06/30 22:45:20 INFO blockmanagement.BlockManager: defaultReplication = 3 18/06/30 22:45:20 INFO blockmanagement.BlockManager: maxReplication = 512 18/06/30 22:45:20 INFO blockmanagement.BlockManager: minReplication = 1 18/06/30 22:45:20 INFO blockmanagement.BlockManager: maxReplicationStreams = 2 18/06/30 22:45:20 INFO blockmanagement.BlockManager: replicationRecheckInterval = 3000 18/06/30 22:45:20 INFO blockmanagement.BlockManager: encryptDataTransfer = false 18/06/30 22:45:20 INFO blockmanagement.BlockManager: maxNumBlocksToLog = 1000 18/06/30 22:45:20 INFO namenode.FSNamesystem: Append Enabled: true 18/06/30 22:45:20 INFO util.GSet: Computing capacity for map INodeMap 18/06/30 22:45:20 INFO util.GSet: VM type = 64-bit 18/06/30 22:45:20 INFO util.GSet: 1.0% max memory 889 MB = 8.9 MB 18/06/30 22:45:20 INFO util.GSet: capacity = 2^20 = 1048576 entries 18/06/30 22:45:20 INFO namenode.FSDirectory: ACLs enabled? false 18/06/30 22:45:20 INFO namenode.FSDirectory: XAttrs enabled? true 18/06/30 22:45:20 INFO namenode.NameNode: Caching file names occurring more than 10 times 18/06/30 22:45:20 INFO snapshot.SnapshotManager: Loaded config captureOpenFiles: falseskipCaptureAccessTimeOnlyChange: false 18/06/30 22:45:20 INFO util.GSet: Computing capacity for map cachedBlocks 18/06/30 22:45:20 INFO util.GSet: VM type = 64-bit 18/06/30 22:45:20 INFO util.GSet: 0.25% max memory 889 MB = 2.2 MB 18/06/30 22:45:20 INFO util.GSet: capacity = 2^18 = 262144 entries 18/06/30 22:45:20 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.window.num.buckets = 10 18/06/30 22:45:20 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.num.users = 10 18/06/30 22:45:20 INFO metrics.TopMetrics: NNTop conf: dfs.namenode.top.windows.minutes = 1,5,25 18/06/30 22:45:20 INFO namenode.FSNamesystem: Retry cache on namenode is enabled 18/06/30 22:45:20 INFO namenode.FSNamesystem: Retry cache will use 0.03 of total heap and retry cache entry expiry time is 600000 millis 18/06/30 22:45:20 INFO util.GSet: Computing capacity for map NameNodeRetryCache 18/06/30 22:45:20 INFO util.GSet: VM type = 64-bit 18/06/30 22:45:20 INFO util.GSet: 0.029999999329447746% max memory 889 MB = 273.1 KB 18/06/30 22:45:20 INFO util.GSet: capacity = 2^15 = 32768 entries 18/06/30 22:45:21 INFO namenode.FSImage: Allocated new BlockPoolId: BP-1880726246-192.168.0.120-1530369921005 18/06/30 22:45:21 INFO common.Storage: Storage directory /opt/hadoop-2.9.0/dfs/name has been successfully formatted. 18/06/30 22:45:21 INFO namenode.FSImageFormatProtobuf: Saving image file /opt/hadoop-2.9.0/dfs/name/current/fsimage.ckpt_0000000000000000000 using no compression 18/06/30 22:45:21 INFO namenode.FSImageFormatProtobuf: Image file /opt/hadoop-2.9.0/dfs/name/current/fsimage.ckpt_0000000000000000000 of size 322 bytes saved in 0 seconds. 18/06/30 22:45:21 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0 18/06/30 22:45:21 INFO namenode.NameNode: SHUTDOWN_MSG: /************************************************************ SHUTDOWN_MSG: Shutting down NameNode at master/192.168.0.120 ************************************************************/ [spark@master hadoop-2.9.0]$ sbin/start-all.sh #启动dfs This script is Deprecated. Instead use start-dfs.sh and start-yarn.sh Starting namenodes on [master] master: starting namenode, logging to /opt/hadoop-2.9.0/logs/hadoop-spark-namenode-master.out slave1: starting datanode, logging to /opt/hadoop-2.9.0/logs/hadoop-spark-datanode-slave1.out slave3: starting datanode, logging to /opt/hadoop-2.9.0/logs/hadoop-spark-datanode-slave3.out slave2: starting datanode, logging to /opt/hadoop-2.9.0/logs/hadoop-spark-datanode-slave2.out Starting secondary namenodes [master] master: starting secondarynamenode, logging to /opt/hadoop-2.9.0/logs/hadoop-spark-secondarynamenode-master.out starting yarn daemons starting resourcemanager, logging to /opt/hadoop-2.9.0/logs/yarn-spark-resourcemanager-master.out slave2: starting nodemanager, logging to /opt/hadoop-2.9.0/logs/yarn-spark-nodemanager-slave2.out slave3: starting nodemanager, logging to /opt/hadoop-2.9.0/logs/yarn-spark-nodemanager-slave3.out slave1: starting nodemanager, logging to /opt/hadoop-2.9.0/logs/yarn-spark-nodemanager-slave1.out
4)过30s后,查看master,slave1,slave2,slave3是否启动成功
查看master是否启动成功:
[spark@master hadoop-2.9.0]$ jps 3808 Jps 3540 ResourceManager 3191 NameNode 3387 SecondaryNameNode [spark@master hadoop-2.9.0]$
在slave1,slave2,slave3分别jps查看是否都启动了DataNode,DataManager进程:
以slave1为例:
[spark@slave1 hadoop-2.9.0]$ jps 2160 Jps 2018 NodeManager 1909 DataNode [spark@slave1 hadoop-2.9.0]$
参考《https://blog.csdn.net/magggggic/article/details/52503502》
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