Member since
08-11-2014
481
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92
Kudos Received
72
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My Accepted Solutions
Title | Views | Posted |
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3439 | 01-26-2018 04:02 AM | |
7076 | 12-22-2017 09:18 AM | |
3533 | 12-05-2017 06:13 AM | |
3847 | 10-16-2017 07:55 AM | |
11192 | 10-04-2017 08:08 PM |
04-18-2015
05:19 PM
Thanks for your reply. I found in the UI the path to /var/log/spark/spark-worker. That is the spark executor's own log. I am actually looking for the logs that I added to functions that I wrote to map RDDs. Please forgive me if I am using the wrong terminology here.
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04-10-2015
08:54 AM
This is just Java's locking library, it's not specific to the project. This is a lock that supports many readers at one time, but, only one writer at a time (and no readers while a writer has the write lock). You have to acquire the write lock to mutate the shared state, but also need to acquire the read lock to read it -- but, you won't exclude other readers.
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04-06-2015
06:57 AM
I got the answer: "Add export STANDALONE_SPARK_MASTER_HOST=10.0.2.15 to your spark-env.sh so both master and worker agree on the same host address".
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03-31-2015
02:12 AM
1 Kudo
No, there's no way to do this. You could do it quite manually by creating a job that writes new, merged data and then puts it back into place where the old data was.
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03-11-2015
11:46 AM
In general, NoSuchMethodError in Java means you compiled against one version of something, and executed against a different version. Check your build.
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03-06-2015
12:08 PM
No, it's not something you really install. It's a library. However I think you'll find the binaries already exist on all the nodes in your cluster anyway.
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03-05-2015
05:04 AM
1 Kudo
Yes but it's a member of a class. When the class is instantiated on the remote worker, it is null again. Make the Broadcast a member of the new function you are defining.
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02-28-2015
10:49 AM
Have you set it to start a generation based on the amount of input received? that could be triggering the new computation. That said are you sure it only has part of the input? it's possible the zipped file sizes aren't that comparable. Yes, you simply don't have enough memory allocated to your JVM. Your system memory doesn't matter if you haven't let the JVM use much of it. This is in local mode right? you need to use -Xmx to give more heap. Yes it will use different tmp directories for different jobs. That's normal.
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02-26-2015
10:31 PM
ya. It looks my local issue to locate Guava. Thanks for your reply.
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02-22-2015
10:01 AM
Thanks sowen for your cooperation
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