Hbase集群挂掉的示例分析
这篇文章主要介绍了Hbase集群挂掉的示例分析,具有一定借鉴价值,感兴趣的朋友可以参考下,希望大家阅读完这篇文章之后大有收获,下面让小编带着大家一起了解一下。
在武威等地区,都构建了全面的区域性战略布局,加强发展的系统性、市场前瞻性、产品创新能力,以专注、极致的服务理念,为客户提供做网站、网站设计 网站设计制作按需制作网站,公司网站建设,企业网站建设,高端网站设计,成都全网营销,外贸营销网站建设,武威网站建设费用合理。
版本信息
cdh-6.0.1
hadoop-3.0
hbase-2.0.0
问题
想在空闲时候重启一下hbase释放一下内存,顺便修改一下yarn的一些配置,结果停掉后,hbase起不来了,错误信息就是hbase:namespace表is not online,master一直初始化,具体错误信息:
15:41:59.313 [ProcExecTimeout] WARN org.apache.hadoop.hbase.master.assignment.AssignmentManager - STUCK Region-In-Transition rit=OPENING, location=node4,16020,1589648302672, table=real_time_data, region=74cac15d22e99800ad0ace14c9ed74d6 15:41:59.313 [ProcExecTimeout] WARN org.apache.hadoop.hbase.master.assignment.AssignmentManager - STUCK Region-In-Transition rit=OPENING, location=node3,16020,1596598630022, table=real_time_data, region=8e68891d5826c09974d81ad5d705c3b6 15:41:59.313 [ProcExecTimeout] WARN org.apache.hadoop.hbase.master.assignment.AssignmentManager - STUCK Region-In-Transition rit=OPENING, location=node3,16020,1596598630022, table=real_time_data, region=75c42d75e2556bf70ff527f2425e8509 15:41:59.313 [ProcExecTimeout] WARN org.apache.hadoop.hbase.master.assignment.AssignmentManager - STUCK Region-In-Transition rit=OPENING, location=node3,16020,1596598630022, table=real_time_data, region=2eee04869ac2c35984d4d22e6e9f2f31 15:42:08.264 [master/node3:16000] INFO org.apache.hadoop.hbase.client.RpcRetryingCallerImpl - Call exception, tries=15, retries=15, started=128887 ms ago, cancelled=false, msg=org.apache.hadoop.hbase.NotServingRegionException: hbase:namespace,,1558205786137.40562c48c9210c06813adce48773cb6a. is not online on node1,16020,1596957741742 at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegionByEncodedName(HRegionServer.java:3273) at org.apache.hadoop.hbase.regionserver.HRegionServer.getRegion(HRegionServer.java:3250) at org.apache.hadoop.hbase.regionserver.RSRpcServices.getRegion(RSRpcServices.java:1414) at org.apache.hadoop.hbase.regionserver.RSRpcServices.get(RSRpcServices.java:2446) at org.apache.hadoop.hbase.shaded.protobuf.generated.ClientProtos$ClientService$2.callBlockingMethod(ClientProtos.java:41998) at org.apache.hadoop.hbase.ipc.RpcServer.call(RpcServer.java:409) at org.apache.hadoop.hbase.ipc.CallRunner.run(CallRunner.java:131) at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:324) at org.apache.hadoop.hbase.ipc.RpcExecutor$Handler.run(RpcExecutor.java:304) , details=row 'default' on table 'hbase:namespace' at region=hbase:namespace,,1558205786137.40562c48c9210c06813adce48773cb6a., hostname=node1,16020,1589648239142, seqNum=55 ... ... 15:44:58.229 [qtp1792826268-435] WARN org.eclipse.jetty.servlet.ServletHandler - /master-status org.apache.hadoop.hbase.PleaseHoldException: Master is initializing at org.apache.hadoop.hbase.master.HMaster.isInMaintenanceMode(HMaster.java:2827) ~[hbase-server-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.apache.hadoop.hbase.tmpl.master.MasterStatusTmplImpl.renderNoFlush(MasterStatusTmplImpl.java:271) ~[hbase-server-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.apache.hadoop.hbase.tmpl.master.MasterStatusTmpl.renderNoFlush(MasterStatusTmpl.java:389) ~[hbase-server-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.apache.hadoop.hbase.tmpl.master.MasterStatusTmpl.render(MasterStatusTmpl.java:380) ~[hbase-server-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.apache.hadoop.hbase.master.MasterStatusServlet.doGet(MasterStatusServlet.java:81) ~[hbase-server-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at javax.servlet.http.HttpServlet.service(HttpServlet.java:687) ~[javax.servlet-api-3.1.0.jar:3.1.0] at javax.servlet.http.HttpServlet.service(HttpServlet.java:790) ~[javax.servlet-api-3.1.0.jar:3.1.0] at org.eclipse.jetty.servlet.ServletHolder.handle(ServletHolder.java:848) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1772) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.apache.hadoop.hbase.http.lib.StaticUserWebFilter$StaticUserFilter.doFilter(StaticUserWebFilter.java:112) ~[hbase-http-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.apache.hadoop.hbase.http.ClickjackingPreventionFilter.doFilter(ClickjackingPreventionFilter.java:48) ~[hbase-http-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.apache.hadoop.hbase.http.HttpServer$QuotingInputFilter.doFilter(HttpServer.java:1374) ~[hbase-http-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.apache.hadoop.hbase.http.NoCacheFilter.doFilter(NoCacheFilter.java:49) ~[hbase-http-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.apache.hadoop.hbase.http.NoCacheFilter.doFilter(NoCacheFilter.java:49) ~[hbase-http-2.0.0.3.0.0.0-1634.jar:2.0.0.3.0.0.0-1634] at org.eclipse.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1759) ~[jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.servlet.ServletHandler.doHandle(ServletHandler.java:582) [jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:143) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.security.SecurityHandler.handle(SecurityHandler.java:548) [jetty-security-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.session.SessionHandler.doHandle(SessionHandler.java:226) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.ContextHandler.doHandle(ContextHandler.java:1180) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.servlet.ServletHandler.doScope(ServletHandler.java:512) [jetty-servlet-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.session.SessionHandler.doScope(SessionHandler.java:185) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.ContextHandler.doScope(ContextHandler.java:1112) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.ScopedHandler.handle(ScopedHandler.java:141) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.HandlerCollection.handle(HandlerCollection.java:119) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.handler.HandlerWrapper.handle(HandlerWrapper.java:134) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.Server.handle(Server.java:534) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.HttpChannel.handle(HttpChannel.java:320) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.server.HttpConnection.onFillable(HttpConnection.java:251) [jetty-server-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.io.AbstractConnection$ReadCallback.succeeded(AbstractConnection.java:283) [jetty-io-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.io.FillInterest.fillable(FillInterest.java:108) [jetty-io-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.io.SelectChannelEndPoint$2.run(SelectChannelEndPoint.java:93) [jetty-io-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.executeProduceConsume(ExecuteProduceConsume.java:303) [jetty-util-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.produceConsume(ExecuteProduceConsume.java:148) [jetty-util-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.util.thread.strategy.ExecuteProduceConsume.run(ExecuteProduceConsume.java:136) [jetty-util-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.util.thread.QueuedThreadPool.runJob(QueuedThreadPool.java:671) [jetty-util-9.3.19.v20170502.jar:9.3.19.v20170502] at org.eclipse.jetty.util.thread.QueuedThreadPool$2.run(QueuedThreadPool.java:589) [jetty-util-9.3.19.v20170502.jar:9.3.19.v20170502] at java.lang.Thread.run(Thread.java:745) [?:1.8.0_121]
常规操作
到这里,我尝试使用hbck命令查看详情并修复,发现hbase2.0.0版本hbck已经废弃了修复的命令。
----------------------------------------------------------------------- NOTE: As of HBase version 2.0, the hbck tool is significantly changed. In general, all Read-Only options are supported and can be be used safely. Most -fix/ -repair options are NOT supported. Please see usage below for details on which options are not supported. ----------------------------------------------------------------------- 省略若干... 省略若干... 省略若干... NOTE: Following options are NOT supported as of HBase version 2.0+. UNSUPPORTED Metadata Repair options: (expert features, use with caution!) -fix Try to fix region assignments. This is for backwards compatiblity -fixAssignments Try to fix region assignments. Replaces the old -fix -fixMeta Try to fix meta problems. This assumes HDFS region info is good. -fixHdfsHoles Try to fix region holes in hdfs. -fixHdfsOrphans Try to fix region dirs with no .regioninfo file in hdfs -fixTableOrphans Try to fix table dirs with no .tableinfo file in hdfs (online mode only) -fixHdfsOverlaps Try to fix region overlaps in hdfs. -maxMergeWhen fixing region overlaps, allow at most regions to merge. (n=5 by default) -sidelineBigOverlaps When fixing region overlaps, allow to sideline big overlaps -maxOverlapsToSideline When fixing region overlaps, allow at most regions to sideline per group. (n=2 by default) -fixSplitParents Try to force offline split parents to be online. -removeParents Try to offline and sideline lingering parents and keep daughter regions. -fixEmptyMetaCells Try to fix hbase:meta entries not referencing any region (empty REGIONINFO_QUALIFIER rows) UNSUPPORTED Metadata Repair shortcuts -repair Shortcut for -fixAssignments -fixMeta -fixHdfsHoles -fixHdfsOrphans -fixHdfsOverlaps -fixVersionFile -sidelineBigOverlaps -fixReferenceFiles-fixHFileLinks -repairHoles Shortcut for -fixAssignments -fixMeta -fixHdfsHoles
然后,查阅资料看到了hbck2,官方地址:https://github.com/apache/hbase-operator-tools/tree/master/hbase-hbck2, 这个工具,本来以为抓住了救命的稻草,结果:
=================================================================== HBCK2 Overview HBCK2 is currently a simple tool that does one thing at a time only. In hbase-2.x, the Master is the final arbiter of all state, so a general principal for most HBCK2 commands is that it asks the Master to effect all repair. This means a Master must be up before you can run HBCK2 commands. The HBCK2 implementation approach is to make use of an HbckService hosted on the Master. The Service publishes a few methods for the HBCK2 tool to pull on. Therefore, for HBCK2 commands relying on Master's HbckService facade, first thing HBCK2 does is poke the cluster to ensure the service is available. This will fail if the remote Server does not publish the Service or if the HbckService is lacking the requested method. For the latter case, if you can, update your cluster to obtain more fix facility. HBCK2 versions should be able to work across multiple hbase-2 releases. It will fail with a complaint if it is unable to run. There is no HbckService in versions of hbase before 2.0.3 and 2.1.1. HBCK2 will not work against these versions. Next we look first at how you 'find' issues in your running cluster followed by a section on how you 'fix' found problems. ===================================================================
wtm,服了。hbase2.0.0 ~ 2.0.2以及hbase2.1.0 ~ 2.1.0是不适用的,既不能使用hbck,也不能使用hbck2,这里出现了断层。
解决办法
1. 修复master,让集群正常启动
由于目前master无法初始化,集群无法启动,因为元数据表hbase:meta信息有损坏,hbase:namespace表is not online,首先需要让hbase:namespace表上线,启动hbase集群再说,否则后续的修复工作都进行不了;然后修复那些表(此时内心是崩溃的,都准备重搭建集群了)。
查看hbase源码,发现hbase元数据表hbase:namespace表如果没有会重建,TableNamespaceManager.java:
思路:备份hbase:namespace表hdfs数据,删除hbase:namespace表,启动时让其重建,然后将备份的数据bulkload进新建的hbase:namespace表中去。
删除hbase:meta中hbase:namespace那一行数据,并且mv走hbase:namespace表对应的hdfs目录到临时目录备份,这样相当于把hbase:namespace这个表删除了。
然后,重启hbase集群,namespace表会被重建,集群终于起来了。此时,hbase:namespace这张表里面保存的namespace只有default这个默认的namespace,我们通过bulkload命令,把临时目录里面的hfile文件移到hbase:namespace这张表里面,这样就还原了命名空间表。
2. 修复hbase表
很不容易,hbase集群已经起来了,通过web ui发现,此时里面的表都是空的,无法找到每个region对应的hdfs数据文件。
由于hbase中的hbase:meta表保存所有表的region分配等信息,现在由于集群异常停止,破坏了hbase:meta表,应该是hbase:meta表有损坏,导致hbase:namespace表无法找到对应分配的region。
思路:通过.regioninfo来修复hbase:meta表
感谢你能够认真阅读完这篇文章,希望小编分享的“Hbase集群挂掉的示例分析”这篇文章对大家有帮助,同时也希望大家多多支持创新互联,关注创新互联行业资讯频道,更多相关知识等着你来学习!
网站题目:Hbase集群挂掉的示例分析
地址分享:http://pwwzsj.com/article/pedpso.html