Member since
03-23-2015
1288
Posts
114
Kudos Received
98
Solutions
My Accepted Solutions
Title | Views | Posted |
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4347 | 06-11-2020 02:45 PM | |
5949 | 05-01-2020 12:23 AM | |
3776 | 04-21-2020 03:38 PM | |
4046 | 04-14-2020 12:26 AM | |
3025 | 02-27-2020 05:51 PM |
07-25-2019
03:28 AM
Got it working on my cluster. Thanks Lars and Eric. Cheers, Anand
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07-18-2019
01:23 AM
Hi Eric, I think the "C6 Compatibility" can be excluded because the driver for Windows works in conjunction with the same HDP cluster. Probably a problem with the implementation of the driver for Linux or RedHat. I will not further investigate and will mark this post as solved. Regards, Michael.
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07-17-2019
10:33 PM
Thanks Eric , I'll take a shot for that.
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07-17-2019
05:22 PM
Hi iamfromsky, To confirm, are you able to change your LB's setting to check less frequent to see if the number of error/warning will also reduce? However, based on my experience, the error produced by LB's tcp check normally is SASL related, not like "java.net.SocketException: Connection reset". It would be good to modify LB setting to confirm though. Cheers Eric
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07-17-2019
09:09 AM
Any "manually" killed application not showing up in the history server. In resource manager I am not able to browse the tasks. We care using Cloudera 5.14.X Any application killed by yarn does show up in history server and able to browse tasks in resource manager.
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07-16-2019
07:54 PM
Hi @Cristian.fuentesd, 50010 is the DataNode port: remote=xxxxxxx.xxx.xx/xxx.xx.x.xxx:50010 Have you checked the DataNode log on host xxxxxxx.xxx.xx? (You probably want to mask your host names). Cheers Eric
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07-15-2019
08:43 AM
If I had to guess, the CDH installation is somehow broken and missing jar files. Impala depends on antlr so won't be able to run if that isn't present. The JARs should be part of the CDH parcel, e.g. in /opt/cloudera/parcels/CDH-<version>/lib/impala/lib
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07-15-2019
03:35 AM
Hi, The purpose of compression is to save space, not speed up query time. Compression actually adds overhead to decompress the data before data can be read, so I would expect the query against compressed data will be slightly slower than uncompressed. So what you see is totally normal to me. Cheers Eric
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07-15-2019
03:12 AM
1 Kudo
Hi, I do not think there is any different. Spark lazily executes statements, so you second 2 jobs version will behave the same way as the first single job, in my opinion. Cheers Eric
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07-10-2019
04:48 PM
Hi, It looks like that you have set configuration hive.query.redaction.rules somewhere, though I can't see it from the command you ran. Couple of things to check: 1. run "which beeline" to confirm that you are running original beeline command, not a custom one 2. check under ~/.beeline directory to see if there is any user level files that might override the default settings 3. use different users to run beeline to see if there is any differences. Thanks Eric
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