Member since
12-09-2015
37
Posts
28
Kudos Received
4
Solutions
My Accepted Solutions
Title | Views | Posted |
---|---|---|
5149 | 12-15-2015 07:47 AM | |
2647 | 12-11-2015 07:51 PM | |
3609 | 12-10-2015 10:06 PM | |
2600 | 12-09-2015 09:17 PM |
08-03-2016
05:04 AM
The issue can be resolved in lower versions also by using the distribute by keyword in the query
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08-16-2016
06:44 AM
@Davide Isoardi Good Afternoon, sir.
May i ask you something ? Is http://www.ecubecenter.it/Hadoop-Big-Data-Twitter-Map/ using this https://github.com/disoardi/tweetsdemo_with_ambari_views. It has been a while that i lost my mind to work my undergraduate project. Maybe, i will start again from this. Thanks before
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12-22-2015
02:31 PM
As for multiple networks you can multi-home the nodes so you have a Public network and a Cluster Traffic network. Hardware vendors like the Cisco Refernce architecture are designed expecting multi-homing to be configured. https://hadoop.apache.org/docs/current/hadoop-project-dist/hadoop-hdfs/HdfsMultihoming.html
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02-16-2019
08:50 PM
Did we got any fix for this ? or still NIFI does'nt support CDC from DB2 ?
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01-05-2016
01:57 AM
1 Kudo
If you are using SolrJ from your client, then it will connect to zookeeper and automatically do the load balancing for you. If you are going to use SolrJ, then make sure use CloudSolrClient class
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02-05-2016
08:24 PM
@Rakesh Gupta excellent question, are you still having issues with this? Can you accept best answer or provide your own solution?
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02-03-2016
03:46 PM
@Jun Chen are you still having issues with this? Can you accept best answer or provide your own solution?
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12-10-2015
09:46 PM
1 Kudo
While storage space is absolutely critical as @Neeraj Sabharwal and @Ali Bajwa wrote in their post we just "discovered" that also CPU is a key point. When HWX released AMS we began to deploy Ambari and AMS on the same machine, but soon the understood that for a production environment it could be a good practice to use one VM for Ambari and another VM for AMS, so the really high impact on computation resources of AMS didn't impact Ambari (sometimes, during the aggregation phase we got 16 CPU at 90% for 10/15 minutes).
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12-11-2015
02:43 AM
@Andrea D'Orio Thanks for sharing, indeed we need information like this. keep sharing 🙂
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