Member since
02-01-2019
650
Posts
143
Kudos Received
117
Solutions
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 |
10-23-2018
05:34 PM
@Muhammad Taimoor Yousaf Did you do the kinit before launching the pyspark shell?
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10-19-2018
09:04 AM
@Madhura Mhatre Not all services in Ambari has move option. Yes, You can add the Spark2 service in new machine and delete the existing one. After that restart the required components/clients.
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10-14-2018
01:50 PM
1 Kudo
@Maxim
Neaga
Do add the below hortonworks nexus repo to your ${user.home}/.m2/settings.xml file. <profile>
<id>Hortonworks</id>
<repositories>
<repository>
<id>hortonworks-nexus</id>
<name>nexus repo</name>
<url>http://nexus-private.hortonworks.com/nexus/content/groups/public/</url>
</repository>
</repositories>
</profile>
and build using mvn clean -DskipTests package -Pdist -PHortonworks
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10-06-2018
09:10 AM
@sunile.manjee What is the zeppelin version you are using? May be hitting: https://issues.apache.org/jira/browse/ZEPPELIN-1930
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10-06-2018
08:59 AM
@Sahil Kaw "/usr/hdp/current/oozie-client" should be a symlink of "/usr/hdp/<version>/oozie". Move/remove "/usr/hdp/current/oozie-client" directory out of "/usr/hdp" and refresh the oozie client from ambari and you should be good.
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10-02-2018
06:05 AM
AFAIK, A random password is set for all the principals (hdfs , hbase , hive ..etc) .
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10-02-2018
06:03 AM
2 Kudos
@Naresh AR You can create 2 different dataframes with 2 different jdbc sources(one with mysql and another one with postgres) and make sure both the jdbc jars are present in spark's classpath.
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09-30-2018
06:40 AM
@Michael Bronson There could be some issue with the 1011 broker. Do check /var/log/kafka/server.log for more information.
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09-24-2018
04:37 PM
@Hamza Rashid Did the above mentioned changes helped in addressing your issue?
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09-24-2018
04:34 PM
@Christopher Falter Sorry i didn't get a chance to test this. Usually with /etc/spark2/conf/hive-site.xml spark should be able to connect to hive.
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