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02-01-2019
650
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143
Kudos Received
117
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My Accepted Solutions
Title | Views | Posted |
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2816 | 04-01-2019 09:53 AM | |
1458 | 04-01-2019 09:34 AM | |
6900 | 01-28-2019 03:50 PM | |
1572 | 11-08-2018 09:26 AM | |
3800 | 11-08-2018 08:55 AM |
11-08-2018
09:26 AM
1 Kudo
@vasu arikatla AFAIK distcp still uses MapReduce in HDP 3.0.
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11-08-2018
08:55 AM
@Mujeeb This error is due to a bug: "/usr/hdp/current/hive-server2/conf_llap//hive-env.sh: line 43: [: !=: unary operator expected" Please refer: https://community.hortonworks.com/content/supportkb/225891/errorusrhdp3000-1634hiveconfhive-envsh-line-50-una.html (looks like line numbers are different in article and the error you have, update accordingly) Hope this helps.
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11-08-2018
08:39 AM
@Muhammad Taimoor Yousaf You'd need to have a valid ticket in in the machine you are launching pyspark shell (which is test-m1). Looking at the exception it is clearly saying 'No valid credentials provided'. Hope this helps.
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11-08-2018
08:33 AM
@Victor L If you found this answer addressed your question, please take a moment to login and click the "accept" link on the answer.
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11-08-2018
08:33 AM
@Indra s If you found this answer addressed your question, please take a moment to login and click the "accept" link on the answer.
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11-03-2018
02:04 PM
@Indra s HDP 2.6.5 has spark 2.3.0. With the current Ambari version you can just upgrade HDP to 2.6.5. Please note that as of now you cannot upgrade specific services form ambari it will be a full stack upgrade. https://docs.hortonworks.com/HDPDocuments/Ambari-2.6.2.2/bk_ambari-upgrade/content/ambari_upgrade_guide.html
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11-03-2018
01:43 PM
@kotesh banoth Feel free to accept this answer if it helped you.
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11-03-2018
01:41 PM
@Victor L We need not add the broker id manually in zookeeper. Do look into the server.log of the other two brokers. There should be some issue because if which they are not reflecting in zookeeper.
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11-02-2018
12:49 PM
@kotesh banoth, In this case you can configure yarn queue mapping, This applies to all the applications user is submitting (not only hive/beeline) by default without mentioning the queue name while submitting the app will be submitted to the mapped queue. Ref: https://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.6.5/bk_yarn-resource-management/content/default_queue_mapping_based_on_user_or_group.html Hope this helps.
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11-02-2018
09:45 AM
1 Kudo
@kotesh banoth If you are using tez engine: beeline !connect jdbc:hive2://your.host:your.port/data_base?tez.queue.name=<queue-name> If you are using MR execution engine: beeline !connect jdbc:hive2://your.host:your.port/data_base?mapred.job.queue.name=your_queue_name
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