+1 (binding)
Apache is supposed to be about the community. We have here a community of
developers, who have actively and openly worked to add a major improvement
to Hadoop: the ability to work cross-platform. Furthermore, the size of
the substantive part of the needed patch is only about 1500 li
On Thu, Feb 28, 2013 at 03:08PM, sanjay Radia wrote:
> +1
> Java has done the bulk of the work in making Hadoop multi-platform.
> Windows specific code is a tiny percentage of the code.
> Jeninks support for windows is going help us keep the platform portable going
> forward.
> I expect that the v
+1 for the merge.
As someone who has been testing the code for many months now, both on
singlenode and multinode clusters, I am very confident about the stability
and the quality of the code. I have run several regression tests to verify
distributed cache, streaming, compression, capacity schedule
Sandy Ryza created MAPREDUCE-5038:
-
Summary: mapred CombineFileInputFormat does not work on
non-splittable files
Key: MAPREDUCE-5038
URL: https://issues.apache.org/jira/browse/MAPREDUCE-5038
Project:
> Is there a jira for resolving the outstanding TODOs in the code base
> (similar to HDFS-2148)? Looks like this merge doesn't introduce many
> which is great (just did a quick diff and grep).
I found 2 remaining TODOs introduced in the current merge patch. One is in
ContainerLaunch.java. The c
My initial question was mostly intended to understand the desired new
classification of Windows after the merge, and how we plan to maintain
Windows support. I am happy to hear that hardware for Jenkins will be
provided. I am also fine, at least initially, with us trying to treat
Windows as a fir
I'd like to share a few anecdotes about developing cross-platform,
hopefully to address some of the concerns about adding overhead to the
development process. By reviewing past cases of cross-platform Linux vs.
Windows bugs, we can get a sense for how the development process could look
in the futu
Jason Lowe created MAPREDUCE-5037:
-
Summary: JobControl logging when a job completes
Key: MAPREDUCE-5037
URL: https://issues.apache.org/jira/browse/MAPREDUCE-5037
Project: Hadoop Map/Reduce
I
See https://builds.apache.org/job/Hadoop-Mapreduce-trunk/1358/
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Tests run: 4, Failures: 0, Errors: 0
+1 (non-binding)
I want to share my vote of confidence in this community. If motivated to do
so, this community can keep this project cross-platform and continue to rapidly
innovate without breaking a sweat.
The day we started working on this, I saw the foundations of greatness in the
quality
After search the hadoop maillist again, I found this link which trying to
optimize hadoop based on Lustre using Hardlink instead of http(
http://search-hadoop.com/m/JkHSa17oHp12 ).
Any other suggestion ?
Thanks all
yours,
Ling Kun
On Thu, Feb 28, 2013 at 4:57 PM, Ling Kun wrote:
> Dear Aru
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