@jagan20, as this is an older post, you would have a better chance of receiving a resolution by starting a new thread. This will also be an opportunity to provide details specific to your environment that could aid others in assisting you with a more accurate answer to your question. You can link this thread as a reference in your new post. ... View more

Hi Suresh,   There is no command but you can easily  find  the information on the HBase Web UI.   http://host:16010/master-status#baseStats   Best, Helmi KHALIFA   ... View more

@suresh krish As the referred article too suggests, if you were to attempt recovering accidentally deleted files in Production cluster's HDFS, then it is recommended to immediately stop all the DataNodes in the cluster and seek support's help to go through the process. When it is about recovering production data, it is very important that one has very clear understanding of the recovery procedure, knows all the precautions and checks to be taken care of and is confident on how to proceed if any of the steps fail. ... View more

@suresh krish What are you trying to use? Keystore on HDFS or in local ? You can read in the doc the following : The JavaKeyStoreProvider, which is represented by the provider URI jceks://file|hdfs/path-to-keystore, is used to retrieve credentials from a Java keystore. The underlying use of the Hadoop filesystem abstraction allows credentials to be stored on the local filesystem or within HDFS. and The LocalJavaKeyStoreProvider, which is represented by the provider URI localjceks://file/path-to-keystore, is used to access credentials from a Java keystore that is must be stored on the local filesystem. You are using localjceks. So your URI should be localjceks://file/path-to-your-jceks. The file keyword is important. Also, the /user/hdfs in this case is a local so it should exist in your OS. If you want to use HDFS then you need jceks and URI jceks://hdfs/path-to-your-file ... View more

@suresh krish When you see the environmental variables in your spark UI you can see that particular job will be using below property serialization. If you can't see in cluster configuration, that mean user is invoking at the runtime of the job. <code>spark.serializer org.apache.spark.serializer.KryoSerializer Secondly spark.kryoserializer.buffer.max is built inside that with default value 64m. If required you can increase that value at the runtime. Even we can all the KryoSerialization values at the cluster level but that's not good practice without knowing proper use case. Hope this helps you. ... View more

curl -i -uadmin:admin http://192.168.218.183:8080/api/v1/bootstrap/1 HTTP/1.1 200 OK X-Frame-Options: DENY X-XSS-Protection: 1; mode=block Set-Cookie: AMBARISESSIONID=h08834nky0l13v3s3e939xlz;Path=/;HttpOnly Expires: Thu, 01 Jan 1970 00:00:00 GMT User: admin Content-Type: application/json Vary: Accept-Encoding, User-Agent Content-Length: 108 Server: Jetty(8.1.19.v20160209) {"status":"RUNNING","hostsStatus":[{"hostName":"dn3.discovercts.com","status":"RUNNING","log":""}],"log":""}[root@ambari ... View more

@suresh krish The issue seems to be with user profile, please compare the profile working Vs non-working. ... View more

Thanks for your response, I have a grafana crt file already created. do i need to import it again? Can you tell me how to import it ... View more