Member since
11-09-2016
28
Posts
1
Kudos Received
6
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
1847 | 07-11-2017 05:42 AM | |
2873 | 07-10-2017 04:47 AM | |
2052 | 07-04-2017 06:36 AM | |
3874 | 06-08-2017 06:52 AM | |
5798 | 05-31-2017 04:35 PM |
07-13-2017
07:13 AM
@Tomomichi Hirano: Is this what you are looking for? https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.5.3/bk_command-line-installation/content/ch09s15s02.html
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07-13-2017
07:00 AM
@Harish Nerella If a table is to be used in ACID writes (insert, update, delete) then the table property "transactional=true" must be set on that table.Also, hive.txn.manager must be set to org.apache.hadoop.hive.ql.lockmgr.DbTxnManager either in hive-site.xml or in the beginning of the session before any query is run. Refer https://cwiki.apache.org/confluence/display/Hive/Hive+Transactions for more details.
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07-11-2017
05:42 AM
@Sami Ahmad The issue is happening as has_key has been removed starting from Python3. https://docs.python.org/3.1/whatsnew/3.0.html#builtins To solve the issue, edit yarn-utils.py to change the below lines and see if it helps:- if (reservedStack.has_key(memory)): to if (memory in reservedStack 😞 if (reservedHBase.has_key(memory)): to if (memory in reservedHBase):
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07-11-2017
04:58 AM
@Greg Keys Yes. You are right. The JDBC URL for LLAP is same in HDP 2.5 and 2.6. And yes Hiveserver2 port is 10000 and LLAP port is 10500
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07-10-2017
04:55 AM
@Guillaume Roger Hoping the attached link will help:- https://community.hortonworks.com/articles/14309/demystify-tez-tuning-step-by-step.html
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07-10-2017
04:47 AM
@Greg Keys: The difference between LLAP and Hiveserver2 JDBC URL will be in zooKeeperNamespace. For LLAP the zookeeper namesepace would be hiveserver2-hive2 where as for hiveserver2 the zooKeeperNamespace=hiveserver2. Can you check the same?
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07-04-2017
02:32 PM
@Guillaume Roger If AM memory (tez-site/tez.am.resource.memory.mb) is set to the min container size, only 1 application can be launched at any given point of time. Please tune the property depending on your requirement .
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07-04-2017
06:36 AM
@Sylvain: Configured capacity of HDFS is calculated as Configured Capacity = Total Disk Space - Reserved Space Reserved space is the space which is allocated for OS level operations and set using the parameter dfs.datanode.du.reserved . Can you please let me know whats the total disk space in your scenario? Also is there any specific reason why dfs.datanode.du.reserved is set to a huge value?
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07-04-2017
06:24 AM
@Guillaume Roger: The issue seems to be happening as the maximum application master limit has been set to 20%. Maximum percent of resources in the cluster which can be used to run application masters - controls number of concurrent active applications. Limits on each queue are directly proportional to their queue capacities and user limits. Since the limit here has been reached, I guess the application is not able to spawn another application master and hence the query is not running. Can we try increasing the parameter yarn.scheduler.capacity.maximum-am-resource-percent / yarn.scheduler.capacity.<queue-path>.maximum-am-resource-percent to 35% and see if it resolves the issue?
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06-16-2017
04:21 AM
@Aditya Pratap: Please accept the answer if it solved your problem
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