Hello, Need some assistance / guidance on how we can reduce Non-HDFS Space. We see Non-HDFS Space of around 270 used, as we are facing space crunch, we would explore possibilities for getting non-hdfs space reduced. I have cleared all Yarn logs for the applications which were killed/ failed etc (our /data mountpoint houses dfs, yarn, kudu, impala), yet this does not solve our issue. Any assistance / guidance is much appreciated.   Thanks  Amn ... View more

Hello, I need to increase the query timeout (backend_client_rpc_timeout_ms) from current 5 minutes to 30 minutes. Could anyone guide me from where in Impala Configurations I can do this change. I did some checking but cannot find any related, appreciate any assistance / guidance.   Thanks  Amn ... View more

Hello, We are seeing concerning alert on one of our data node related to File Descriptor (Concerning: Open file descriptors: 16,410. File descriptor limit: 32,768. Percentage in use: 50.08%. Warning threshold: 50.00%.)   Would appreciate any help/ guidance to fix this before it goes out of hand.   [user1@myserver ~]$ ulimit -a core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 1030544 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) unlimited open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) 8192 cpu time (seconds, -t) unlimited max user processes (-u) 4096 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited   [user1@myserver ~]$ cat /proc/sys/fs/file-max 26161091 [user1@myserver ~]$ cat /proc/sys/fs/file-nr 80400 0 26161091   Thanks  Amn ... View more

Hello, On our data node, we are increasing getting alerts related to Data Node Pause Duration. So far, this is happening on a single data node out of nine data nodes. Following is the error captured from DN logs  2020-10-27 16:20:05,140 INFO org.apache.hadoop.util.JvmPauseMonitor: Detected pause in JVM or host machine (eg GC): pause of approximately 1821ms GC pool 'ParNew' had collection(s): count=1 time=2075ms)   Current Java Heap Size of Data Node in Bytes is at 6GB   CM / CDH – 5.16.x   Any help is appreciated.   Regards Amn ... View more

Hello, How to update DNS part in host name, example from 192.168.0.1.test-1.pl to 192.168.0.1.test.co.pl so that we can open CM GUI via 192.168.0.1.test.co.pl:7180 and other web gui (hue, impala etc) with the new dns name test.co.pl.     Regards Anm ... View more

Hello, I need to reboot my Data node to fix an underlying network issue. OS team needs around 3 hours (approx.) to complete this activity, what would be the best approach: Decommission and recommission host / dn. Move DN to Offline Mode (feature in CM 5.16.x) Any help / guidance is appreciated.   Regards Amn ... View more

Hello All,   We are running Spark jobs via yarn and its failing with the below error, any help / pointer to fix is much appericated.   Shell output: main : command provided 1 main : run as user is TEST1 main : requested yarn user is TEST1 Writing to tmp file /data/8/yarn/nm/nmPrivate/application_1587389136999_0013/container_e56_1587389136999_0013_01_000477/container_e56_1587389136999_0013_01_000477.pid.tmp Writing to cgroup task files... Container exited with a non-zero exit code 1 org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48) at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63) at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216) at scala.util.Try$.apply(Try.scala:192) at scala.util.Failure.recover(Try.scala:216) at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326) at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326) at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32) at org.spark_project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293) at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:136) at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40) at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248) at scala.concurrent.Promise$class.complete(Promise.scala:55) at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153) at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237) at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237) at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32) at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:63) at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:78) at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55) at scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55) at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72) at scala.concurrent.BatchingExecutor$Batch.run(BatchingExecutor.scala:54) at scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601) at scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:106) at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599) at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40) at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248) at scala.concurrent.Promise$class.tryFailure(Promise.scala:112) at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153) at org.apache.spark.rpc.netty.NettyRpcEnv.org$apache$spark$rpc$netty$NettyRpcEnv$$onFailure$1(NettyRpcEnv.scala:205) at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:239) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) 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) Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 120 seconds ... 8 more   Regards Amn ... View more

Hi, We are repeatedly getting alerts for NN Pause duration (The health test result for NAME_NODE_PAUSE_DURATION has become bad: Average time spent paused was 44.5 second(s) (74.25%) per minute over the previous 5 minute(s). Critical threshold: 60.00%.)  CM / CDH - 5.16.2 Current NN Heap Size - 4GB Block Used - 5TB   Request some assistance in fixing this.   Thanks  Amn       ... View more

Hi, Do we need to stop or put all hadoop services in maintenance, during our DB patching activity or just putting Cloudera Manager in maintenance mode will suffice?   Thanks Anm ... View more

Hello,   I would like to know if there a way to rebalance data in Kudu evenly across all kudu t-servers. Our Kudu deployment is as follows: 3 Kudu Masters 9 Tablet Servers kudu 1.7.0-cdh5.16.2/ CM 5.16.2   Data across these 9 T-Servers is not evenly distributed, out these 9 t-servers, I see data is more stored on 3 t-servers and not distributed evenly. I was going through some articles and found that currently there is no rebalance tool like HDFS (https://community.cloudera.com/t5/Support-Questions/Kudu-Tablet-Server-Data-Directories-rebalancing/td-p/79649),   However if we Go to Clusters > Kudu > Click Actions I see Run Kudu Rebalancer Tool, would like to know, what is the purpose of this. Will this distribute data for overall Kudu or just Kudu Master or Kudu T-Servers too. Request some advice  / assistance on the same.   Thanks Amn ... View more