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05-03-2014
06:29 AM
Can you post your entire Service and Host monitor logs here, or via pastebin links?
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05-03-2014
05:56 AM
In your first screenshot's screen, could you click on the left most option before clicking 'Continuar'? That is, click on "Libre" or surrounding area.
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05-03-2014
02:05 AM
You can create a new Hue user 'hdfs' and login as that to become an actual HDFS superuser if you need to be one. Otherwise, working under /user/cloudera sub-directories will still work as your current login.
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04-09-2014
05:52 PM
This is not really required in a HA setup, since you already have two independent fsimage copies being made at 2x NNs.
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03-27-2014
10:18 PM
The even number disallowance has nothing to do with availability. An odd number of nodes is required to form a "quorum". You cannot have definite majority to a vote request with even number of nodes in a quorum. In an odd set, there's always a majority to a vote's result, and thereby the requirement. Hope this helps you make sense on why CM is requiring you to configure your QJM properly, with an odd number of nodes.
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03-24-2014
01:08 AM
2 Kudos
This may happen if your YARN service is misconfigured w.r.t. memory resources. An MR job requires 1.5g for its AppMaster, and subsequently 1g for each task. Therefore, NodeManagers should be publishing at least 2.5g or 3g for MR jobs to run. Can you ensure your value in CM -> YARN -> Configuration, for field "yarn.nodemanager.resource.memory-mb" is set to at least 3 GB or higher? If it isn't, please set it appropriately as per your machine's ability, and restart the YARN service and retry the job submission. You can also alternatively reduce the default memory demands via client-side properties yarn.app.mapreduce.am.resource.mb (for the MR AppMaster) and set of mapreduce.map.memory.mb/mapreduce.reduce.memory.mb (for the Tasks). These properties accept integer values in MB units.
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03-24-2014
01:02 AM
1 Kudo
To add configuration snippets for a client config, the right field to use is the "HDFS Client Configuration Safety Valve for hdfs-site.xml", not the "Service" one, which only applies to daemons.
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03-07-2014
06:16 PM
Wherever possible, it is always good to combine multiple goals into the same job to avoid extra I/O and additional job bootup/cleanup overheads. Optimisers in Hive and Pig try to do this as well. The reducer can emit different outputs via the MultipleOutputs classes. For map outputs, you'll need to build some form of "general" class and hierarchy that can cater to different styles of output and partition them appropriately. Its definitely possible, but needs some additional work.
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03-07-2014
05:53 PM
Hive will contact a Hive MetaStore Service iff there's a "hive.metastore.uris" property in hive-site.xml. Your XML doesn't have one. Your XML carries the JDO properties of the DB instead, and is thereby the "local" mode config described at http://www.cloudera.com/content/cloudera-content/cloudera-docs/CDH4/latest/CDH4-Installation-Guide/cdh4ig_hive_metastore_configure.html
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02-19-2014
05:34 AM
The job scheduler would be the spot to look at. One way would be to use user-named pools in FairScheduler. You will need to define a FairScheduler <pool> configuration per user, that then control the maxMaps and maxReduces configuration for each of them, as defined at http://archive.cloudera.com/cdh4/cdh/4/mr1/fair_scheduler.html#Allocation+File+Format.
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