Member since
10-16-2017
15
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0
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1
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My Accepted Solutions
Title | Views | Posted |
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9056 | 10-16-2017 03:17 PM |
04-12-2018
09:28 AM
Turns out that some of our node managers had some inconsistency with their java version for some reason and this caused issues with memory allocation during the executor creation! Disabled those node managers for now and the issue disappears. It was quite difficult to trace this issue without a proper stacktrace from YARN that lead to this issue.
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12-04-2017
05:12 PM
1 Kudo
In addition to that, STS supports Spark SQL syntax since v2.0.0. If you want to use Spark SQL Syntax with SQL 2003 support, it's a good choice. Also, you can use Spark-specific syntax like `CACHE TABLE`, too.
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