Tao Jie created HADOOP-15121:
Summary: Encounter NullPointerException when using
DecayRpcScheduler
Key: HADOOP-15121
URL: https://issues.apache.org/jira/browse/HADOOP-15121
Project: Hadoop Common
Hi Chris,
I am looking for a way to reduce time spent on testing latest commits.
When trunk broke, it is usually someone didn't do a full build to test the
patch. If a feature merge results in 100+ commit additions. It is
difficult to tell where breakage occurred. A single merge point is
Hi Andrew
Congratulations on the 3.0 GA, another mile stone of Hadoop history. Thanks for
driving this release, excellent work!
Took a look at the release notes, also seems nice. But one question, who is
maintaining https://wiki.apache.org/hadoop/PoweredBy? Some of info is quite out
of date,
Eric-
What problem are you trying to solve? Most of us understand how git works,
you can omit that. -C
On Thu, Dec 14, 2017 at 6:31 PM Eric Yang wrote:
> We are currently requesting committer to commit code base on:
> https://wiki.apache.org/hadoop/HowToCommit
>
> To set
We are currently requesting committer to commit code base on:
https://wiki.apache.org/hadoop/HowToCommit
To set branch.autosetuprebase always:
Base on the current preference, the history is linear, and it is described in
this graph as Rebase and Merge:
Yin Huai created HADOOP-15120:
-
Summary: AzureNativeFileSystemStore
Key: HADOOP-15120
URL: https://issues.apache.org/jira/browse/HADOOP-15120
Project: Hadoop Common
Issue Type: Bug
Yin Huai created HADOOP-15119:
-
Summary: AzureNativeFileSystemStore's rename swallow
InterruptedExceptions
Key: HADOOP-15119
URL: https://issues.apache.org/jira/browse/HADOOP-15119
Project: Hadoop Common
I'm sorry, I literally don't understand what you've written. What do clicks
on github have to do with merges?
Are you talking about git bisect, where one would first identify the branch
where the error was introduced, then run a second regression over the
feature branch? With similar semantics
When details are rebased, the number of entries to test through the linear
history is much more than a merge point to isolate where the error might have
occurred. It is similar to traverse a tree structure, for each branch, there
are n branches to walk through. If we can know where the
I'd rather have the history. Otherwise tools like blame point only to
a parent/umbrella JIRA, not the issue where the change was discussed.
We can force a merge commit so it's clear the branch was developed
outside the mainline. -C
On Thu, Dec 14, 2017 at 1:18 PM, Eric Yang
+1 on squash merge to keep history compressed. The rebase + merge contains
good deals, but it is easy to get confused for people that doesn’t know about
the rebase option is turned on by default for Hadoop.
Regards,
Eric
On 12/14/17, 12:06 PM, "Arun Suresh" wrote:
Great work Konstantin.
+1 (binding)
- Downloaded both source and binary tar files and verified checksums
- Deployed pseudo-distributed cluster and verified basic HDFS operations
(mkdir, copyFromLocal)
- Verified both NameNode and RM UIs
On Wed, Dec 13, 2017 at 12:05 PM Jonathan Hung
Another option - atleast for feature branches is to maybe squash merge -
this way we see it as a single commit ? Although we will loose the feature
branch history (I am ok with that though)
Cheers
-Arun
On Thu, Dec 14, 2017 at 11:32 AM, Eric Yang wrote:
> Thank you for
Thank you for the pointer. I guess all merge are done using rebase + merge.
This is the reason that timeline is out of order.
Would it be more useful to merge without rebasing for feature branch merge to
avoid timeline confusions? The argument for not rebasing, it would be easier
to find
Hi Eric.
A branch merge has happened during that time, and hence you might have seen
some old commits from that branch. If you go down further, you could see
those commits.
Copied from my git log:
commit 40b0045ebe0752cd3d1d09be00acbabdea983799
Author: Weiwei Yang
Date: Wed
Hi all,
While troubleshooting a trunk build failure, I notice the commit history for
trunk between Nov 30th to Dec 6th are squashed or disappeared for no reason.
This seems to have taken place in the last 24 hours. I can see the commit logs
from github UI. When doing a new clone from Apache
Hi all,
I'm pleased to announce that Apache Hadoop 3.0.0 is generally available
(GA).
3.0.0 GA consists of 302 bug fixes, improvements, and other enhancements
since 3.0.0-beta1. This release marks a point of quality and stability for
the 3.0.0 release line, and users of earlier 3.0.0-alpha and
For more details, see
https://builds.apache.org/job/hadoop-qbt-trunk-java8-linux-x86/622/
[Dec 13, 2017 5:19:58 PM] (sunilg) YARN-7643. Handle recovery of applications
in case of auto-created leaf
[Dec 13, 2017 9:05:32 PM] (wang) Update CHANGES, RELEASENOTES, jdiff for 3.0.0
release.
[Dec 13,
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