Member since
04-20-2016
86
Posts
27
Kudos Received
7
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
2947 | 03-13-2017 04:06 AM | |
4177 | 03-09-2017 01:55 PM | |
1685 | 01-05-2017 02:13 PM | |
6155 | 12-29-2016 05:43 PM | |
5161 | 12-28-2016 11:03 PM |
03-13-2017
04:06 AM
1 Kudo
@nbalaji-elangovan
Copy/Symlink the hbase-site.xml under /etc/spark/conf as below: ln -s /etc/hbase/conf/hbase-site.xml /etc/spark/conf/hbase-site.xml Once done execute the spark-submit as you had done earlier and then try again
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03-09-2017
10:13 PM
@Saikiran Parepally Better follow this doc here to review your settings : http://crazyadmins.com/setup-cross-realm-trust-two-mit-kdc/
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03-09-2017
01:55 PM
@Saikiran Parepally Also along with Josh's suggestion, please check on the cross cluster realm setup here. Refer the documentation below: https://community.hortonworks.com/articles/18686/kerberos-cross-realm-trust-for-distcp.html You will need to have the cross cluster realm setup right to perform the copyTable across two secure clusters
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01-27-2017
08:17 PM
@Sami Ahmad Please restart your yarn services on the cluster to reflect the changes
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01-26-2017
03:34 PM
Please accept the answer by Sandeep so that this question can be marked as addressed.
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01-20-2017
10:56 PM
@Joan Viladrosa No .. I don't think we can do that .
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01-20-2017
09:34 PM
Please check from the Yarn RM UI why the application master failed? The AM logs would give you indication depending on exceptions as to what caused the failures . Once that is identified, you can proceed to fix it.
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01-20-2017
07:33 PM
2 Kudos
Please set the value for hbase.hregion.majorcompaction to "0" <property>
<name>hbase.hregion.majorcompaction</name>
<value>0</value>
</property> This will disable the major compactions and you can trigger it manually during the off peak hours. Make sure we restart hbase services for this to take effect.
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01-05-2017
02:25 PM
@yong yang Please refer to the link below: http://hortonworks.com/hadoop-tutorial/a-lap-around-apache-spark/
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01-05-2017
02:13 PM
Backup the directory "/data/hadoop/oozie/data/oozie-db" to another directory and then remove it using the command: rm -rf /data/hadoop/oozie/data/oozie-db Then restart oozie from Ambari and try again
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