Member since
08-14-2014
13
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5
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0
Solutions
03-13-2019
08:59 PM
2 Kudos
Hello again, I commented to you that I found something additional, apparently the configuration "hive.strict.managed.tables" is in two configuration blocks and the value of "True" must be changed to "False" in both. I attached an image regards
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03-01-2019
05:15 PM
Hello, I told you that I had the same problem and make the following changes to my hive configuration. I'm still checking the performance of hive by changing these settings, but at least it lets me create tables. regards
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06-06-2016
05:37 PM
Dear,
I have the following configuration flume already have used it before and it worked: (also Add the flume-sources-1.0-SNAPSHOT jar in the directory of jars flume) config-flume.png
The only thing that changed was update to version 1.5.2.2.4 flume and is giving me the following error.
ERROR [lifecycleSupervisor-1-2] (org.apache.flume.lifecycle.LifecycleSupervisor$MonitorRunnable.run:253) - Unable to start EventDrivenSourceRunner: { source:com.cloudera.flume.source.TwitterSource{name:Twitter,state:IDLE} } - Exception follows.
java.lang.NoSuchMethodError: twitter4j.FilterQuery.setIncludeEntities(Z)Ltwitter4j/FilterQuery;
at com.cloudera.flume.source.TwitterSource.start(TwitterSource.java:139)
at org.apache.flume.source.EventDrivenSourceRunner.start(EventDrivenSourceRunner.java:44)
at org.apache.flume.lifecycle.LifecycleSupervisor$MonitorRunnable.run(LifecycleSupervisor.java:251)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
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)
Please your help if someone has the same error.
Thank you
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Labels:
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Apache Flume
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Apache Hadoop
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Apache Spark
02-03-2016
05:50 PM
Excellent, thank you very much, I was looking for this configuration
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02-03-2016
05:38 PM
Good afternoon, I wanted to know how they could have a cluster with nodes of different characteristics in RAM, for example:
slave1: 12 GB RAM slave2: 12 GB RAM Slave3: 32 GB RAM Slave4: 32 GB RAM The nodes would slave1 and slave2 a group and slave3 and slave4 nodes are another group.
The problem is the time to set the parameter of Yarn "yarn.nodemanager.resource.memory-mb" and I do not know if I set it to the first group or the second group .. ??
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Apache Ambari
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Apache YARN
08-14-2014
01:40 PM
Excelente, despues de buscar un dia entero la solución esta es la correcta
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