Member since
01-01-2016
8
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01-06-2016
07:17 PM
@Neeraj Sabharwal As per Ambari REST API docs https://github.com/apache/ambari/blob/trunk/ambari-server/docs/api/v1/alert-definitions.md the definitions can be updated Is it possible to use REST API to update these thresholds ? If not, then once the cluster has been deployed should these properties be updated in /var/lib/ambari-server/resources/host_scripts/alert_disk_space.py and then ambari server restarted to push this update to all the agents ? I couldn't find a way to update these thresholds in Ambari UI
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01-06-2016
06:08 PM
The same spark version 1.5.2.2.3 works fine with YarnHistoryProvider, at least the Spark history server started fine with HDP 2.3.6.0-3488 (note lower than the one in starting post of this thread)
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01-05-2016
04:54 PM
I'll try the FsHistoryProvider but that would mean the Spark history server is not integrated with Yarn ATS. Are you saying that the ATS integration is not yet supported in the HDP stack version mentioned above or do you think this issue is specific to my setup ?
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01-05-2016
04:52 AM
Thanks. It would be helpful to update the cwiki.apache.org URL referred above with information on how to wait for decommission to complete
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01-05-2016
03:30 AM
1 Kudo
https://cwiki.apache.org/confluence/display/AMBARI... When the REST API is used to trigger the decommission of the datanode a request ID is returned since its an async operation (see https://github.com/apache/ambari/blob/trunk/ambari...) After polling on the status of the returned request ID for sometime, the request status shows "COMPLETED". However the decommission is actually still progressing (incomplete!) Is this a bug ? Shouldn't the Ambari asynchronous request be marked COMPLETED only after the decommission has finished completely ?
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Apache Hadoop
01-04-2016
11:05 PM
HDP-2.3.8.0-74 Spark 1.5.2.2.3 The start of "Spark history server" is successful in Ambari but very quickly it stops/fails. In the logs I see the following 16/01/01 16:42:36 INFO HistoryServer: History provider class: org.apache.spark.deploy.history.yarn.server.YarnHistoryProvider Exception in thread "main" java.lang.ClassNotFoundException: org.apache.spark.deploy.history.yarn.server.YarnHistoryProvider at java.net.URLClassLoader$1.run(URLClassLoader.java:366) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:354) at java.lang.ClassLoader.loadClass(ClassLoader.java:425) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308) at java.lang.ClassLoader.loadClass(ClassLoader.java:358) at java.lang.Class.forName0(Native Method) at java.lang.Class.forName(Class.java:191) at org.apache.spark.deploy.history.HistoryServer$.main(HistoryServer.scala:224) at org.apache.spark.deploy.history.HistoryServer.main(HistoryServer.scala) 16/01/01 16:42:36 INFO Utils: Shutdown hook called The spark-defaults.conf is as follows # Generated by Apache Ambari. Fri Jan 1 16:42:31 2016
spark.history.kerberos.keytab none
spark.history.kerberos.principal none
spark.history.provider org.apache.spark.deploy.history.yarn.server.YarnHistoryProvider
spark.history.ui.port 18080
spark.yarn.containerLauncherMaxThreads 25
spark.yarn.driver.memoryOverhead 384
spark.yarn.executor.memoryOverhead 384
spark.yarn.historyServer.address host10.demo.com:18080
spark.yarn.max.executor.failures 3
spark.yarn.preserve.staging.files false
spark.yarn.queue default
spark.yarn.scheduler.heartbeat.interval-ms 5000
spark.yarn.services org.apache.spark.deploy.yarn.history.YarnHistoryServicespark.yarn.submit.file.replication 3
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Apache Spark
01-04-2016
10:45 PM
Does PQS have any dependency on data (non-OS) disks of worker node? If PQS is installed on slave/worker node (note - JBOD disk organization), is there any impact to the service when replacing a data disk? Are there any pros/cons of installing PQS on master node vs worker node ? Ambari docs seem to indicate that both are supported
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Apache Ambari
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Apache HBase
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Apache Phoenix