我觉得你可以尝试一下ship本地的hadoop conf，然后设置HADOOP_CONF_DIR环境变量的方式
-yt /path/of/my-hadoop-conf -yD containerized.master.env.HADOOP_CONF_DIR='$PWD/my-hadoop-conf' -yD containerized.taskmanager.env.HADOOP_CONF_DIR='$PWD/my-hadoop-conf' Best, Yang chenqizhu <qizhu...@163.com> 于2021年11月30日周二 上午10:00写道： > all，您好： > > flink 1.13 版本支持了在flink-conf.yaml通过flink.hadoop.* 的方式 > 配置hadoop属性。有个需求是将checkpoint写到装有ssd的hdfs（称之为集群B）以加速checkpoint写入速度，但这个hdfs集群不是flink客户端本地的默认hdfs（默认hdfs称为集群A），于是想通过在flink-conf.yaml里配置A、B两个集群的nameservices，类似与hdfs联邦模式，访问到两个hdfs集群，具体配置如下： > > > > > flink.hadoop.dfs.nameservices: ACluster,BCluster > > flink.hadoop.fs.defaultFS: hdfs://BCluster > > > > > flink.hadoop.dfs.ha.namenodes.ACluster: nn1,nn2 > > flink.hadoop.dfs.namenode.rpc-address.ACluster.nn1: 10.xxxx:9000 > > flink.hadoop.dfs.namenode.http-address.ACluster.nn1: 10.xxxx:50070 > > flink.hadoop.dfs.namenode.rpc-address.ACluster.nn2: 10.xxxxxx:9000 > > flink.hadoop.dfs.namenode.http-address.ACluster.nn2: 10.xxxxxx:50070 > > flink.hadoop.dfs.client.failover.proxy.provider.ACluster: > org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider > > > > > flink.hadoop.dfs.ha.namenodes.BCluster: nn1,nn2 > > flink.hadoop.dfs.namenode.rpc-address.BCluster.nn1: 10.xxxxxx:9000 > > flink.hadoop.dfs.namenode.http-address.BCluster.nn1: 10.xxxxxx:50070 > > flink.hadoop.dfs.namenode.rpc-address.BCluster.nn2: 10.xxxxxx:9000 > > flink.hadoop.dfs.namenode.http-address.BCluster.nn2: 10.xxxxx:50070 > > flink.hadoop.dfs.client.failover.proxy.provider.BCluster: > org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider > > > > > 但在作业启动时候出错了，似乎是无法识别集群B的nameservices高可用配置，转而当成域名识别，具体报错如下： > > （将配置项改成flink客户端本地的默认hdfs集群A，则作业可正常启动 ：flink.hadoop.fs.defaultFS: > hdfs://ACluster） > > > > > Caused by: BCluster > > java.net.UnknownHostException: BCluster > > at > org.apache.hadoop.security.SecurityUtil.buildTokenService(SecurityUtil.java:448) > > at > org.apache.hadoop.hdfs.NameNodeProxiesClient.createProxyWithClientProtocol(NameNodeProxiesClient.java:139) > > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:374) > > at org.apache.hadoop.hdfs.DFSClient.<init>(DFSClient.java:308) > > at > org.apache.hadoop.hdfs.DistributedFileSystem.initialize(DistributedFileSystem.java:184) > > at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:3414) > > at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:158) > > at org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:3474) > > at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:3442) > > at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:524) > > at org.apache.hadoop.fs.Path.getFileSystem(Path.java:365) > > at > org.apache.hadoop.yarn.util.FSDownload.verifyAndCopy(FSDownload.java:270) > > at org.apache.hadoop.yarn.util.FSDownload.access$000(FSDownload.java:68) > > at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:415) > > at org.apache.hadoop.yarn.util.FSDownload$2.run(FSDownload.java:412) > > at java.security.AccessController.doPrivileged(Native Method) > > at javax.security.auth.Subject.doAs(Subject.java:422) > > at > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1845) > > at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:412) > > at > org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.doDownloadCall(ContainerLocalizer.java:247) > > at > org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:240) > > at > org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:228) > > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > > at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > > at java.lang.Thread.run(Thread.java:745) > > > > > 对于以上问题，是否有解决方案？痛点是flink访问两个hdfs集群，最好是能通过flink-conf.yaml的配置实现。 > > > > > 我的组件版本： > > flink : 1.13.3 > > hadoop : 3.3.0 > > > > > 期待回复，感谢！
