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09-18-2015
3274
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1159
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My Accepted Solutions
| Title | Views | Posted |
|---|---|---|
| 2630 | 11-01-2016 05:43 PM | |
| 8781 | 11-01-2016 05:36 PM | |
| 4949 | 07-01-2016 03:20 PM | |
| 8281 | 05-25-2016 11:36 AM | |
| 4450 | 05-24-2016 05:27 PM |
01-27-2016
01:05 AM
@Junichi Oda we gathered really good details in this thread. You can close this thread by accepting the best answer and let's keep eye on future release notes 😉
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01-27-2016
12:37 AM
@Junichi Oda It won't work in this ambari release. Future release, yes
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01-26-2016
08:13 PM
See this https://spark.apache.org/docs/1.5.2/ @allen herring @vshukla I don't think that Spark on windows hadoop cluster is in yet "officially" ..tagging Vinay http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.4-Win/bk_HDP_Install_Win/content/ch_managing.html
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01-26-2016
08:08 PM
@rbalam Details "will" be in the ticket. I highly recommend to wait for the final version before you make/apply changes in prod. Sandbox is fine
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01-26-2016
07:59 PM
1 Kudo
@mkataria You may have to clear the datase manually.
su postgres psql \c ambari DELETE FROM ambari.hostcomponentstate WHERE service_name IN ('SOLR'); DELETE FROM ambari.hostcomponentdesiredstate WHERE service_name IN ('SOLR'); DELETE FROM ambari.servicecomponentdesiredstate WHERE service_name IN ('SOLR'); DELETE FROM ambari.servicedesiredstate WHERE service_name IN ('SOLR'); DELETE FROM ambari.clusterservices WHERE service_name IN ('SOLR'); service ambari-server restart
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01-26-2016
07:45 PM
1 Kudo
@rbalam That will be patches in the github. For example: http://docs.hortonworks.com/HDPDocuments/Ambari-2.1.0.0/bk_releasenotes_ambari_2.1.0.0/content/ambari_relnotes-2.1.0.0-patch-information.html example: https://issues.apache.org/jira/browse/AMBARI-12451
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01-26-2016
03:56 PM
1 Kudo
@Jagdish Saripella See this http://docs.hortonworks.com/HDPDocuments/HDP2/HDP-2.3.4/bk_performance_tuning/content/ch_hive_hi_perf_best_practices.html
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01-26-2016
03:26 PM
@Ancil McBarnett Vm works as long as it's tuned and has good configuration . It's better to have vm as we can increase resources as we grow Ranger will in solr so no concerns on @Benjamin Leonhardi point "very good info "
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01-26-2016
02:38 PM
@Sai ram please accept the best answer to close the thread
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01-26-2016
02:31 PM
@Jagdish Saripella See @Jonas Straub comment. Data size plays a big role on understanding the time.
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