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:
java.l
+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 ulti
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 d
I think the ASF +1 is *slightly* different than Google's LGTM, because
it might convey wanting the patch/feature to be merged but not
necessarily saying you did a thorough review and stand behind it's
technical contents. For instance, I've seen people pile on +1's to try
and indicate support for a
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, wrote:
> I think clarifying these semantics is definitely wor
Yep. They have sorted it out it seems.
On 18 Jan 2015 03:58, "Patrick Wendell" 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
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 about
+1 on this.
> On Jan 17, 2015, at 6:16 PM, Reza Zadeh wrote:
>
> LGTM
>
> On Sat, Jan 17, 2015 at 5:40 PM, Patrick Wendell 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
>
LGTM
On Sat, Jan 17, 2015 at 5:40 PM, Patrick Wendell 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 Style"
> LGTM on
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
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 wrote:
> My mails to the mailing list are getting rejected, have opened a Jira issue,
> can someone t
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 wrote:
> Followed is the discussion
Followed is the discussion between Imran and me.
2015-01-18 4:12 GMT+08:00 Chunnan Yao :
> 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 missed informat
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 got
*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 14.0.2
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
---
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
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