Followed is the discussion between Imran and me.
2015-01-18 4:12 GMT+08:00 Chunnan Yao yaochun...@gmail.com:
Thank you for your patience! Im now not so familiar with the mailing list.
I just clicked reply in Gmail, thinking it would be automatically
attached to the list. I will later post the
Nice!
-
Feel the sparking Spark!
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btw, I updated the wiki to include instructions on making the
macro-paradise jar a compiler plugin for Intellij:
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-IntelliJ
On Sat, Jan 17, 2015 at 12:16 PM, Chunnan Yao yaochun...@gmail.com wrote:
Akhil,
Those are handled by ASF infrastructure, not anyone in the Spark
project. So this list is not the appropriate place to ask for help.
- Patrick
On Sat, Jan 17, 2015 at 12:56 AM, Akhil Das ak...@sigmoidanalytics.com wrote:
My mails to the mailing list are getting rejected, have opened a
+1 on this.
On Jan 17, 2015, at 6:16 PM, Reza Zadeh r...@databricks.com wrote:
LGTM
On Sat, Jan 17, 2015 at 5:40 PM, Patrick Wendell pwend...@gmail.com wrote:
Hey All,
Just wanted to ping about a minor issue - but one that ends up having
consequence given Spark's volume of reviews
Yep. They have sorted it out it seems.
On 18 Jan 2015 03:58, Patrick Wendell pwend...@gmail.com wrote:
Akhil,
Those are handled by ASF infrastructure, not anyone in the Spark
project. So this list is not the appropriate place to ask for help.
- Patrick
On Sat, Jan 17, 2015 at 12:56 AM,
I think clarifying these semantics is definitely worthwhile. Maybe this
complicates the process with additional terminology, but the way I've used
these has been:
+1 - I think this is safe to merge and, barring objections from others, would
merge it immediately.
LGTM - I have no concerns
I think I've seen something like +2 = strong LGTM and +1 = weak LGTM;
someone else should review before. It's nice to have a shortcut which
isn't a sentence when talking about weaker forms of LGTM.
On Sat, Jan 17, 2015 at 6:59 PM, sandy.r...@cloudera.com wrote:
I think clarifying these
Hi,
I took a source code of Spark 1.2.0 and tried to build it together with
hadoop-openstack.jar ( To allow Spark an access to OpenStack Swift )
I used Hadoop 2.6.0.
The build was fine without problems, however in run time, while trying to
access swift:// name space i got an exception:
+1 to Patrick's proposal of strong LGTM semantics. On past projects, I've
heard the semantics of LGTM expressed as I've looked at this thoroughly
and take as much ownership as if I wrote the patch myself. My
understanding is that this is the level of review we expect for all patches
that
LGTM
On Sat, Jan 17, 2015 at 5:40 PM, Patrick Wendell pwend...@gmail.com wrote:
Hey All,
Just wanted to ping about a minor issue - but one that ends up having
consequence given Spark's volume of reviews and commits. As much as
possible, I think that we should try and gear towards Google
Yeah, the ASF +1 has become partly overloaded to mean both I would like to see
this feature and this patch should be committed, although, at least in
Hadoop, using +1 on JIRA (as opposed to, say, in a release vote) should
unambiguously mean the latter unless qualified in some other way.
I
Hey All,
Just wanted to ping about a minor issue - but one that ends up having
consequence given Spark's volume of reviews and commits. As much as
possible, I think that we should try and gear towards Google Style
LGTM on reviews. What I mean by this is that LGTM has the following
semantics:
I
My mails to the mailing list are getting rejected, have opened a Jira
issue, can someone take a look at it?
https://issues.apache.org/jira/browse/INFRA-9032
Thanks
Best Regards
*I followed the procedures instructed by
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-IntelliJ.
But problems still occurs which has made me a little bit annoyed.
My environment settings are:JAVA 1.7.0 Scala: 2.10.4 Spark:1.2.0, Intellij
Idea
I'm working on LinearRegressionWithElasticNet using OWLQN now. This
will do the data standardization internally so it's transparent to
users. With OWLQN, you don't have to manually choose stepSize. Will
send out PR soon next week.
Sincerely,
DB Tsai
Yes I've seen that error in the past too, and was just talking to
Imran the other day about it. I thought it only occurred when the hive
module was enabled, which I don't enable.
The problem is that the plugin that causes an error in IntelliJ for
scalac is what parses these values.* I think he
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