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
