Github user reactormonk closed the pull request at:
https://github.com/apache/spark/pull/8240
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Github user reactormonk closed the pull request at:
https://github.com/apache/spark/pull/9507
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GitHub user reactormonk opened a pull request:
https://github.com/apache/spark/pull/9507
[SPARK-11539] debian packaging
A few questions that could simplify the package:
a) does spark-env.sh need to be a bash script? With VAR=value only I could
use EnvironmentFile= from
Github user reactormonk commented on the pull request:
https://github.com/apache/spark/pull/8240#issuecomment-132560703
I haven't found any documentation on how to write UDFs with R.
https://issues.apache.org/jira/browse/SPARK-6817 tells me it's not going to
happen an
Github user reactormonk commented on the pull request:
https://github.com/apache/spark/pull/8240#issuecomment-132108789
This is part of the DataFrame API, not the RDD.
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GitHub user reactormonk opened a pull request:
https://github.com/apache/spark/pull/8240
[SPARK-10053] Export lapply and lapplyPartition from sparkR
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/reactormonk/spark spark-r
Github user reactormonk commented on the pull request:
https://github.com/apache/spark/pull/7215#issuecomment-119026347
There doesn't even seem to be any reference to ec2 in the test output.
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Github user reactormonk commented on the pull request:
https://github.com/apache/spark/pull/7215#issuecomment-118463218
https://issues.apache.org/jira/browse/SPARK-8821
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Github user reactormonk commented on the pull request:
https://github.com/apache/spark/pull/7215#issuecomment-118447227
Looks too trivial to jump through the hoops of JIRA.
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GitHub user reactormonk opened a pull request:
https://github.com/apache/spark/pull/7215
Switched to binary mode for file reading
Otherwise the script will crash with
- Downloading boto...
Traceback (most recent call last):
File "ec2/spark_e
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