> On Mar 5, 2018, at 4:08 PM, Andrew Wang wrote:
>
> - NN on top HDSL where the NN uses the new block layer (Both Daryn and Owen
> acknowledge the benefit of the new block layer). We have two choices here
> ** a) Evolve NN so that it can interact with both old and
Joep, You raise a number of points:
(1) Ozone vs and object stores. “Some users would choose Ozone as that layer,
some might use S3, others GCS, or Azure, or something else”.
(2) How HDSL/Ozone fits into Hadoop and whether it is necessary.
(3) You raise the release issue which we will respond
HDSL), which
>> is
>>> a distributed, replicated block layer.
>>>The old HDFS namespace and NN can be connected to this new block
>> layer
>>> as we have described in HDFS-10419.
>>>We also introduce a key-value namespace called Ozone built on HDSL.
&
e a key-value namespace called Ozone built on HDSL.
>>>
>>>The code is in a separate module and is turned off by default. In a
>>> secure setup, HDSL and Ozone daemons cannot be started.
>>>
>>>The detailed documentation
Konstantine
Thanks for your feedback and comments over the last few months. Have we
addressed all your issues and concerns?
sanjay
> On Feb 13, 2018, at 6:28 PM, sanjay Radia <sanjayo...@gmail.com> wrote:
>
> Sorry the formatting got messed by my email client. H
Sorry the formatting got messed by my email client. Here it is again
Dear
Hadoop Community Members,
We had multiple community discussions, a few meetings in smaller groups and
also jira discussions with respect to this thread. We express our gratitude for
participation and valuable
Dear Hadoop Community Members,
We had multiple community discussions, a few meetings in smaller groups and
also jira discussions with respect to this thread. We express our gratitude for
participation and valuable comments. The key questions raised were following
How the new block storage
Konstantine,
Thanks for your comments, questions and feedback. I have attached a document
to the HDFS-7240 jira
that explains a design for scaling HDFS and how Ozone paves the way towards
the full solution.
Erik
Great stuff.
BTW did you build on top of the “simulated data nodes” in HDFS which has a way
to storing only the length of data (but not real data)? That work allowed
supplementing with a matching editsLog for the NN. Your approach of using a
real image has the advantage of being able
On Mar 5, 2015, at 3:21 PM, Siddharth Seth ss...@apache.org wrote:
2) Simplification of configs - potentially separating client side configs
and those used by daemons. This is another source of perpetual confusion
for users.
+ 1 on this.
sanjay
On Mar 3, 2015, at 9:36 AM, Karthik Kambatla ka...@cloudera.com wrote:
If we preserve API compat and try to preserve wire compat, I don't see the
harm in bumping the major release.
If we preserve compatibility, then there is no need to bump major number.
It allows us to include several
Andrew
Thanks for bringing up the issue of moving to Java8. Java8 is important
However, I am not seeing a strong motivation for changing the major number.
We can go to Java8 in the 2.series.
The classpath issue for Hadoop-11656 is too minor to force a major number
change (no pun intended).
+1
sanjay
On Fri, Aug 8, 2014 at 7:57 PM, Karthik Kambatla ka...@cloudera.com wrote:
I have put together this proposal based on recent discussion on this topic.
Please vote on the proposal. The vote runs for 7 days.
1. Migrate from subversion to git for version control.
2.
On Jun 21, 2014, at 8:01 AM, Andrew Wang andrew.w...@cloudera.com wrote:
This is why I'd like to keep my original proposal on the table: keep going
with branch-2 in the near term, while working towards a JDK8-based Hadoop 3
by April next year. It doesn't need to be a big bang release either.
[
https://issues.apache.org/jira/browse/MAPREDUCE-4260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sanjay Radia resolved MAPREDUCE-4260.
-
Resolution: Fixed
Commit to the windows branch. Thanks Bikas.
Use
[
https://issues.apache.org/jira/browse/MAPREDUCE-4204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sanjay Radia resolved MAPREDUCE-4204.
-
Resolution: Fixed
Thanks Bikas - Committed to branch-1-win
Type: Improvement
Reporter: Sanjay Radia
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https://issues.apache.org/jira/browse/MAPREDUCE-2887?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sanjay Radia resolved MAPREDUCE-2887.
-
Resolution: Fixed
Committed as part of HADOOP-7524
MR changes to match HADOOP-7524
: Improvement
Reporter: Sanjay Radia
Assignee: Sanjay Radia
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