Member since
03-05-2016
21
Posts
4
Kudos Received
2
Solutions
My Accepted Solutions
Title | Views | Posted |
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9094 | 08-19-2016 06:03 AM | |
12604 | 04-16-2016 01:24 PM |
07-14-2017
02:13 AM
Great it helped me too.
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08-19-2016
06:35 AM
I'm happy to see that you resolved the issue. Thank you for updating the post with the solution in case it can assist others. 🙂
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04-16-2016
01:24 PM
1 Kudo
So I've fixed it by adjusting the following Yarn settings: yarn.scheduler.maximum-allocation-mb = 8 GiB mapreduce.map.memory.mb = 4 GiB mapreduce.reduce.memory.mb = 4 GiB And I've got the test example as following command running: sudo -u hdfs hadoop jar /usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar pi 10 100 Thanks for the comments.
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