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10-15-2016
05:37 PM
1 Kudo
@Davd Leh can you try this, I have updated the dependencies pom.xml
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10-15-2016
04:50 PM
@Davd Leh can you add following repository in the repositories section of pom.xml <repository>
<id>public</id>
<url>http://nexus-private.hortonworks.com/nexus/content/groups/public</url>
</repository>
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10-10-2016
09:37 PM
you mean to say like put file using hadoop fs -put? if so then 'no' it take the advantage of filesystem api to write on hdfs
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10-10-2016
09:31 PM
HDFS is used for storage so that it could provide data redundancy along with the support for parallelism at the time of read and write. mapreduce is a computation framework which allow you to process and generating large data sets with a parallel, distributed algorithm on a cluster. there are other framework also which can provide the same like spark and Tez. for your specific questions 1. The Data File placing on HDFS is through MapReduce? you are not limited to write to HDFS using mapreduce only, you can take the advantage of the other framework to read and write. 2. All transactions in HDFS are using MapReduce jobs? NO
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10-09-2016
11:02 PM
@Fabien could you please try these steps to login ambari using admin open a terminal do ssh root@127.0.0.1 -p 2222 ambari-admin-password-reset // update admin passwd ambari-agent restart now open ambari ui and login using admin/<passwd you setted>
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10-09-2016
10:52 PM
@Fabien could you please try login with the admin user instead of maria_dev.
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10-09-2016
10:05 PM
@Hadoop Yarn
what exception you are getting? it looks a sandbox so broker port is 6667 .. can you try this command /kafka-console-producer.sh --broker-list hostname:6667 --topic kafkatopic
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10-09-2016
06:12 PM
1 Kudo
@Fabien in ambari click on hosts (upper pane of the UI) then click on the hostname, it will list you all the services along with the status.. you will find nodemanger here. click on the dropdown by selecting start.. it will start the nodemanager
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10-09-2016
04:29 AM
3 Kudos
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Apache Kafka
10-08-2016
08:26 PM
@Fabienwith the ambari dashboard view it looks it's a single node cluster and your nodemanger is down, can you restart it and run the query again.
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