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04-25-2016
579
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609
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111
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My Accepted Solutions
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05-31-2016
01:35 PM
2 Kudos
@yong yang apart from adding jars at each session level as suggested by @Jitendra Yadav you can add them permanently using hive.aux.jars.path <property>
<name>hive.aux.jars.path</name>
<value>/var/lib/hive</value>
</property>
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05-31-2016
07:11 AM
4 Kudos
can you check nifi bootstrap logs to see if there is any port conflict.
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05-31-2016
06:05 AM
3 Kudos
@Sagar Shimpi this is nice post explaining how this property used by RMContainerAllocator while allocating a container upon request. http://johnjianfang.blogspot.in/2014/08/delay-scheduling-in-capacity-scheduling.html
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05-30-2016
07:49 AM
2 Kudos
I think you are facing this problem while starting the kafka broker, could you please check kafka-run-class.sh script what scala version it is currently using and also share the output of "bash -x kafka-server-start.sh"
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05-27-2016
03:27 PM
1 Kudo
I think there is no workaround available now to install spark without hive. hive is needed by spark to create sqlContext(hiveContext) to query hive tables from spark.
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05-27-2016
12:42 PM
3 Kudos
This is a nice post comparing hive on mr,tez vs HAWQ https://www.pivotalguru.com/?p=956 hope it will help you.
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05-26-2016
10:14 AM
2 Kudos
you have set the planner.enable_decimal_data_type at system level so there is no need to activate it from R,Drill wont support decimal type fully, currently decimal support is in alpha feature and not meant for the production.will be good if you update the jira(https://issues.apache.org/jira/browse/DRILL-4184) with complete stacktrace.
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05-25-2016
12:24 PM
2 Kudos
what ambari version you running with, there is jira(https://issues.apache.org/jira/browse/AMBARI-14823) exist for the 2.2.0
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05-25-2016
05:51 AM
3 Kudos
These are some tools to help you cleanse the data and give you insight of the data. https://www.talend.com/resource/data-quality-tools.html https://www.trifacta.com/ alternatively you can write some custom script to know the qualitative analysis.
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05-25-2016
05:29 AM
2 Kudos
These are some decks comparing spark-sql,hive on tez and hive on spark. http://www.slideshare.net/hortonworks/hive-on-spark-is-blazing-fast-or-is-it-final hive on spark (HIVE-7292) is still in beta phase, with earliar version of spark we have hiveContext object to query hive tables but starting with spark-1.4 you can query hive tables using sqlContext object.
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