Congratulations to all !
Original message From: Jungtaek Lim Date:
10/3/18 2:41 AM (GMT-08:00) To: Marco Gaido Cc: dev
Subject: Re: welcome a new batch of committers
Congrats all! You all deserved it.
On Wed, 3 Oct 2018 at 6:35 PM Marco Gaido wrote:
Congrats you all!
Il g
+1
Original message From: Denny Lee Date:
9/30/18 10:30 PM (GMT-08:00) To: Stavros Kontopoulos
Cc: Sean Owen , Wenchen
Fan , dev Subject: Re: [VOTE] SPARK
2.4.0 (RC2)
+1 (non-binding)
On Sat, Sep 29, 2018 at 10:24 AM Stavros Kontopoulos
wrote:
+1
Stavros
On Sat, Sep 2
+1
Original message From: Dongjin Lee Date:
9/19/18 7:20 AM (GMT-08:00) To: dev Subject: Re:
from_csv
Another +1.
I already experienced this case several times.
On Mon, Sep 17, 2018 at 11:03 AM Hyukjin Kwon wrote:
+1 for this idea since text parsing in CSV/JSON is quite co
+1
Original message From: Sean Owen Date:
8/31/18 6:40 AM (GMT-08:00) To: Darcy Shen Cc:
dev@spark.apache.org Subject: Re: Upgrade SBT to the latest
Certainly worthwhile. I think this should target Spark 3, which should come
after 2.4, which is itself already just about rea
+1
Original message From: Reynold Xin Date:
8/30/18 11:11 PM (GMT-08:00) To: Felix Cheung Cc:
dev Subject: Re: SPIP: Executor Plugin (SPARK-24918)
I actually had a similar use case a while ago, but not entirely the same. In my
use case, Spark is already up, but I want to m
spark.sql.execution.streaming.StreamExecution$$anon$1.run(StreamExecution.scala:203)
>
> 18/08/20 22:29:33 INFO AbstractCoordinator: Marking the coordinator
> :9093 (id: 2147483647 rack: null) dead for group
> spark-kafka-source-1aa50598-99d1-4c53-a73c-fa6637a219b2--1338794993-dri
If you have picked up all the changes for SPARK-18057, the Kafka “broker”
supporting v1.0+ should be compatible with Spark's Kafka adapter.
Can you post more details about the “failed to send SSL close message”
errors ?
(The default Kafka version is 2.0.0 in Spark Kafka adapter after SPARK-18057
Congratulations, Zhenhua
Original message From: 雨中漫步 <601450...@qq.com> Date: 4/1/18
11:30 PM (GMT-08:00) To: Yuanjian Li , Wenchen Fan
Cc: dev Subject: 回复： Welcome
Zhenhua Wang as a Spark committer
Congratulations Zhenhua Wang
-- 原始邮件 --发件
+1
Original message From: Ryan Blue Date:
3/30/18 2:28 PM (GMT-08:00) To: Patrick Woody Cc:
Russell Spitzer , Wenchen Fan ,
Ted Yu , Spark Dev List Subject:
Re: DataSourceV2 write input requirements
You're right. A global sort would change the clustering if it had
>>> provide
>>>>>>>>>> Spark a hash function for the other side of a join. It seems
>>>>>>>>>> unlikely to me
>>>>>>>>>> that many data sources would have partitioning that happens
wrote:
> Actually clustering is already supported, please take a look at
> SupportsReportPartitioning
>
> Ordering is not proposed yet, might be similar to what Ryan proposed.
>
> On Mon, Mar 26, 2018 at 6:11 PM, Ted Yu wrote:
>
>> Interesting.
>>
>> Sh
Interesting.
Should requiredClustering return a Set of Expression's ?
This way, we can determine the order of Expression's by looking at
what requiredOrdering()
returns.
On Mon, Mar 26, 2018 at 5:45 PM, Ryan Blue
wrote:
> Hi Pat,
>
> Thanks for starting the discussion on this, we’re really inte
Is there going to be another RC ?
With KafkaContinuousSourceSuite hanging, it is hard to get the rest of the
tests going.
Cheers
On Sat, Jan 13, 2018 at 7:29 AM, Sean Owen wrote:
> The signatures and licenses look OK. Except for the missing k8s package,
> the contents look OK. Tests look prett
Did you include any picture ?
Looks like the picture didn't go thru.
Please use third party site.
Thanks
Original message From: Tomasz Gawęda
Date: 1/15/18 2:07 PM (GMT-08:00) To:
dev@spark.apache.org, u...@spark.apache.org Subject: Broken SQL Visualization?
Hi,
today I hav
Congratulations, Jerry !
On Mon, Aug 28, 2017 at 6:28 PM, Matei Zaharia
wrote:
> Hi everyone,
>
> The PMC recently voted to add Saisai (Jerry) Shao as a committer. Saisai
> has been contributing to many areas of the project for a long time, so it’s
> great to see him join. Join me in thanking an
Hi,
Has anyone used Spark 2.1.x client with Spark 2.2.0 cluster ?
If so, is there any compatibility issue observed ?
Thanks
For Cassandra, I found:
https://www.instaclustr.com/multi-data-center-sparkcassandra-benchmark-round-2/
My coworker (on vacation at the moment) was doing benchmark with hbase.
When he comes back, the result can be published.
Note: it is hard to find comparison results with same setup (hardware,
Please take a look at HBASE-16179 (work in progress).
On Thu, Jun 29, 2017 at 4:30 PM, Raj, Deepu
wrote:
> Hi Team,
>
>
>
> Is there stable Spark HBase connector for Spark 2.0 ?
>
>
>
> Thanks,
>
> Deepu Raj
>
>
>
You can find the JIRA handle of the person you want to mention by going to
a JIRA where that person has commented.
e.g. you want to find the handle for Joseph.
You can go to:
https://issues.apache.org/jira/browse/SPARK-6635
and click on his name in comment:
https://issues.apache.org/jira/secure/V
Does adding -X to mvn command give you more information ?
Cheers
On Sun, Jun 25, 2017 at 5:29 AM, 萝卜丝炒饭 <1427357...@qq.com> wrote:
> Hi all,
>
> Today I use new PC to compile SPARK.
> At the beginning, it worked well.
> But it stop at some point.
> the content in consle is :
> ==
Timur:
Mind starting a new thread ?
I have the same question as you have.
> On Mar 20, 2017, at 11:34 AM, Timur Shenkao wrote:
>
> Hello guys,
>
> Spark benefits from stable versions not frequent ones.
> A lot of people still have 1.6.x in production. Those who wants the freshest
> (like me)
Does the storage handler provide bulk load capability ?
Cheers
> On Jan 25, 2017, at 3:39 AM, Amrit Jangid wrote:
>
> Hi chetan,
>
> If you just need HBase Data into Hive, You can use Hive EXTERNAL TABLE with
> STORED BY 'org.apache.hadoop.hive.hbase.HBaseStorageHandler'.
>
> Try this if you
The references are vendor specific.
Suggest contacting vendor's mailing list for your PR.
My initial interpretation of HBase repository is that of Apache.
Cheers
On Wed, Jan 25, 2017 at 7:38 AM, Chetan Khatri
wrote:
> @Ted Yu, Correct but HBase-Spark module available at HBase re
Though no hbase release has the hbase-spark module, you can find the
backport patch on HBASE-14160 (for Spark 1.6)
You can build the hbase-spark module yourself.
Cheers
On Wed, Jan 25, 2017 at 3:32 AM, Chetan Khatri
wrote:
> Hello Spark Community Folks,
>
> Currently I am using HBase 1.2.4 and
processing
is delivered to hbase.
Cheers
On Wed, Dec 21, 2016 at 8:00 AM, Chetan Khatri
wrote:
> Ok, Sure will ask.
>
> But what would be generic best practice solution for Incremental load from
> HBASE.
>
> On Wed, Dec 21, 2016 at 8:42 PM, Ted Yu wrote:
>
>> I haven
I haven't used Gobblin.
You can consider asking Gobblin mailing list of the first option.
The second option would work.
On Wed, Dec 21, 2016 at 2:28 AM, Chetan Khatri
wrote:
> Hello Guys,
>
> I would like to understand different approach for Distributed Incremental
> load from HBase, Is there
This should be in netty-all :
$ jar tvf
/home/x/.m2/repository/io/netty/netty-all/4.0.29.Final/netty-all-4.0.29.Final.jar
| grep ThreadLocalRandom
967 Tue Jun 23 11:10:30 UTC 2015
io/netty/util/internal/ThreadLocalRandom$1.class
1079 Tue Jun 23 11:10:30 UTC 2015
io/netty/util/internal/ThreadL
Makes sense.
I trust Hyukjin, Holden and Cody's judgement in respective areas.
I just wish to see more participation from the committers.
Thanks
> On Oct 8, 2016, at 8:27 AM, Sean Owen wrote:
>
> Hyukjin
-
To unsubscribe
I think only committers should resolve JIRAs which were not created by himself
/ herself.
> On Oct 8, 2016, at 6:53 AM, Hyukjin Kwon wrote:
>
> I am uncertain too. It'd be great if these are documented too.
>
> FWIW, in my case, I privately asked and told Sean first that I am going to
> look
Was there any error prior to 'LifecycleExecutionException' ?
On Fri, Sep 30, 2016 at 2:43 PM, satyajit vegesna <
satyajit.apas...@gmail.com> wrote:
>
>> i am trying to compile code using maven ,which was working with spark
>> 1.6.2, but when i try for spark 2.0.0 then i get below error,
>>
>> org
Hi,
In hbase-spark module of hbase, we previously had this code:
def hbaseFieldToScalaType(
f: Field,
src: Array[Byte],
offset: Int,
length: Int): Any = {
...
case BinaryType =>
val newArray = new Array[Byte](length)
System.arraycopy(src, offse
'Spark 1.x and Scala 2.10 & 2.11' was repeated.
I guess your second line should read:
org.bdgenomics.adam:adam-{core,apis,cli}-spark2_2.1[0,1] for Spark 2.x and
Scala 2.10 & 2.11
On Wed, Aug 24, 2016 at 9:41 AM, Michael Heuer wrote:
> Hello,
>
> We're a project downstream of Spark and need to
Congratulations, Felix.
On Mon, Aug 8, 2016 at 11:15 AM, Matei Zaharia
wrote:
> Hi all,
>
> The PMC recently voted to add Felix Cheung as a committer. Felix has been
> a major contributor to SparkR and we're excited to have him join
> officially. Congrats and welcome, Felix!
>
> Matei
>
There was SPARK-12008 which was closed.
Not sure if there is active JIRA in this regard.
On Tue, Aug 2, 2016 at 6:40 PM, 马晓宇 wrote:
> Hi guys,
>
> I wonder if anyone working on SQL based authorization already or not.
>
> This is something we needed badly right now and we tried to embedded a
> H
I assume you have enabled Zinc.
Cheers
On Fri, Jul 22, 2016 at 7:54 AM, Mikael Ståldal
wrote:
> Is there any way to speed up an incremental build of Spark?
>
> For me it takes 8 minutes to build the project with just a few code
> changes.
>
> --
> [image: MagineTV]
>
> *Mikael Ståldal*
> Senior
Found a few issues:
[SPARK-6810] Performance benchmarks for SparkR
[SPARK-2833] performance tests for linear regression
[SPARK-15447] Performance test for ALS in Spark 2.0
Haven't found one for Spark core.
On Fri, Jul 8, 2016 at 8:58 AM, Michael Allman wrote:
> Hello,
>
> I've seen a few messa
bq. we turned it off when fixing a bug
Adam:
Can you refer to the bug JIRA ?
Thanks
On Fri, Jul 8, 2016 at 9:22 AM, Adam Roberts wrote:
> Thanks Michael, we can give your options a try and aim for a 2.0.0 tuned
> vs 2.0.0 default vs 1.6.2 default comparison, for future reference the
> defaults
Running the following command:
build/mvn clean -Phive -Phive-thriftserver -Pyarn -Phadoop-2.6 -Psparkr
-Dhadoop.version=2.7.0 package
The build stopped with this test failure:
^[[31m- SPARK-9757 Persist Parquet relation with decimal column *** FAILED
***^[[0m
On Wed, Jul 6, 2016 at 6:25 AM, Sea
You can use a JIRA filter to find JIRAs of the component(s) you're
interested in.
Then sort by Priority.
Maybe comment on the JIRA if you want to work on it.
On Fri, Jun 17, 2016 at 3:22 PM, Pedro Rodriguez
wrote:
> What is the best way to determine what the library maintainers believe is
> imp
Docker Integration Tests failed on Linux:
http://pastebin.com/Ut51aRV3
Here was the command I used:
mvn clean -Phive -Phive-thriftserver -Pyarn -Phadoop-2.6 -Psparkr
-Dhadoop.version=2.7.0 package
Has anyone seen similar error ?
Thanks
On Thu, Jun 16, 2016 at 9:49 PM, Reynold Xin wrote:
> P
I think the second group (3 classOf's) should be used.
Cheers
On Wed, Jun 8, 2016 at 4:53 PM, Alexander Pivovarov
wrote:
> if my RDD is RDD[(String, (Long, MyClass))]
>
> Do I need to register
>
> classOf[MyClass]
> classOf[(Any, Any)]
>
> or
>
> classOf[MyClass]
> classOf[(Long, MyClass)]
> cl
Please go ahead.
On Tue, Jun 7, 2016 at 4:45 PM, franklyn
wrote:
> Thanks for reproducing it Ted, should i make a Jira Issue?.
>
>
>
> --
> View this message in context:
> http://apache-spark-developers-list.1001551.n3.nabble.com/Can-t-use-UDFs-with-Dataframes-in-spark-2-0-preview-scala-2-10-tp1
I built with Scala 2.10
>>> df.select(add_one(df.a).alias('incremented')).collect()
The above just hung.
On Tue, Jun 7, 2016 at 3:31 PM, franklyn
wrote:
> Thanks Ted !.
>
> I'm using
>
> https://github.com/apache/spark/commit/8f5a04b6299e3a47aca13cbb40e72344c0114860
> and building with scala-2
Have you tried the following ?
Seq(1->2, 1->5, 3->6).toDS("a", "b")
then you can refer to columns by name.
FYI
On Tue, Jun 7, 2016 at 3:58 PM, Alexander Pivovarov
wrote:
> I'm trying to switch from RDD API to Dataset API
> My question is about reduceByKey method
>
> e.g. in the following exa
With commit 200f01c8fb15680b5630fbd122d44f9b1d096e02 using Scala 2.11:
Using Python version 2.7.9 (default, Apr 29 2016 10:48:06)
SparkSession available as 'spark'.
>>> from pyspark.sql import SparkSession
>>> from pyspark.sql.types import IntegerType, StructField, StructType
>>> from pyspark.sql.
See the following from
https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Compile/job/SPARK-master-COMPILE-sbt-SCALA-2.10/1642/consoleFull
:
+ SBT_FLAGS+=('-Dscala-2.10')
+ ./dev/change-scala-version.sh 2.10
FYI
On Mon, Jun 6, 2016 at 10:35 AM, Franklyn D'souza <
franklyn.dso...@shopify.
Congratulations, Yanbo.
On Fri, Jun 3, 2016 at 7:48 PM, Matei Zaharia
wrote:
> Hi all,
>
> The PMC recently voted to add Yanbo Liang as a committer. Yanbo has been a
> super active contributor in many areas of MLlib. Please join me in
> welcoming Yanbo!
>
> Matei
> --
Please log a JIRA.
Thanks
On Tue, May 24, 2016 at 8:33 AM, Koert Kuipers wrote:
> hello,
> as we continue to test spark 2.0 SNAPSHOT in-house we ran into the
> following trying to port an existing application from spark 1.6.1 to spark
> 2.0.0-SNAPSHOT.
>
> given this code:
>
> case class Test(a
>>> And, don't worry, Ted.
>>>
>>> Travis launches new VMs for every PR.
>>>
>>> Apache Spark repository uses the following setting.
>>>
>>> VM: Google Compute Engine
>>> OS: Ubuntu 14.04.3 LTS Server Edition 64bit
>>
Can you tell us the commit hash using which the test was run ?
For #2, if you can give full stack trace, that would be nice.
Thanks
On Mon, May 23, 2016 at 8:58 AM, Ovidiu-Cristian MARCU <
ovidiu-cristian.ma...@inria.fr> wrote:
> Hi
>
> 1) Using latest spark 2.0 I've managed to run TPCDSQueryBe
and amend your commit title or messages, see the Travis CI.
> Or, you can monitor Travis CI result on status menu bar.
> If it shows green icon, you have nothing to do.
>
>https://docs.travis-ci.com/user/apps/
>
> To sum up, I think we don't need to wait f
- For Oracle JDK8, mvn -DskipTests install and run `dev/lint-java`.
>
> Thank you, Ted.
>
> Dongjoon.
>
> On Sun, May 22, 2016 at 1:29 PM, Ted Yu wrote:
>
>> The following line was repeated twice:
>>
>> - For Oracle JDK7, mvn -DskipTests install and run `dev/lint-java`
The following line was repeated twice:
- For Oracle JDK7, mvn -DskipTests install and run `dev/lint-java`.
Did you intend to cover JDK 8 ?
Cheers
On Sun, May 22, 2016 at 1:25 PM, Dongjoon Hyun wrote:
> Hi, All.
>
> I want to propose the followings.
>
> - Turn on Travis CI for Apache Spark PR
Yash:
Can you share the JVM parameters you used ?
How many partitions are there in your data set ?
Thanks
On Fri, May 20, 2016 at 5:59 PM, Reynold Xin wrote:
> It's probably due to GC.
>
> On Fri, May 20, 2016 at 5:54 PM, Yash Sharma wrote:
>
>> Hi All,
>> I am here to get some expert advice
Which release of Spark / Hive are you using ?
Cheers
> On May 18, 2016, at 6:12 AM, JaeSung Jun wrote:
>
> Hi,
>
> I'm working on custom data source provider, and i'm using fully qualified
> table name in FROM clause like following :
>
> SELECT user. uid, dept.name
> FROM userdb.user user, d
In master branch, behavior is the same.
Suggest opening a JIRA if you haven't done so.
On Wed, May 11, 2016 at 6:55 AM, Tony Jin wrote:
> Hi guys,
>
> I have a problem about spark DataFrame. My spark version is 1.6.1.
> Basically, i used udf and df.withColumn to create a "new" column, and then
Please see this thread:
http://search-hadoop.com/m/q3RTt9XAz651PiG/Adhoc+queries+spark+streaming&subj=Re+Adhoc+queries+on+Spark+2+0+with+Structured+Streaming
> On May 11, 2016, at 1:47 AM, Ofir Manor wrote:
>
> Hi,
> I'm trying out Structured Streaming from current 2.0 branch.
> Does the branch
I assume there were supposed to be images following this line (which I
don't see in the email thread):
bq. Let’s look at details of execution for 10 and 100 scale factor input
Consider using 3rd party image site.
On Sun, May 8, 2016 at 5:17 PM, Ali Tootoonchian wrote:
> Thanks for your comment
PR #10572 was listed twice.
In the future, is it possible to include the contributor's handle beside
the PR number so that people can easily recognize their own PR ?
Thanks
On Fri, May 6, 2016 at 8:45 AM, Hyukjin Kwon wrote:
> Hi all,
>
>
> This was similar with the proposal of closing PRs bef
Have you tried the following ?
scala> import spark.implicits._
import spark.implicits._
scala> spark
res0: org.apache.spark.sql.SparkSession =
org.apache.spark.sql.SparkSession@323d1fa2
Cheers
On Tue, May 3, 2016 at 9:16 AM, Koert Kuipers wrote:
> with the introduction of SparkSession SQLCont
gt; Created issue:
>> https://issues.apache.org/jira/browse/SPARK-15062
>>
>> On Mon, May 2, 2016 at 6:48 AM, Ted Yu wrote:
>>
>>> I tried the same statement using Spark 1.6.1
>>> There was no error with default memory setting.
>>>
>>> Suggest logging a
On May 2, 2016 12:09 AM, "Ted Yu" wrote:
>> Using commit hash 90787de864b58a1079c23e6581381ca8ffe7685f and Java 1.7.0_67
>> , I got:
>>
>> scala> val dfComplicated = sc.parallelize(List((Map("1" -> "a"), List
> Hi Ted,
>
>
>
> I have 36 files of size ~600KB and the rest 74 are about 400KB.
>
>
>
> Is there a workaround rather than changing Sparks code?
>
>
>
> Best regards, Alexander
>
>
>
> *From:* Ted Yu [mailto:yuzhih...@gmail.com]
> *Sent:* Tu
Here is the body of StreamFileInputFormat#setMinPartitions :
def setMinPartitions(context: JobContext, minPartitions: Int) {
val totalLen =
listStatus(context).asScala.filterNot(_.isDirectory).map(_.getLen).sum
val maxSplitSize = math.ceil(totalLen / math.max(minPartitions,
1.0)).toLong
Interesting.
bq. details of execution for 10 and 100 scale factor input
Looks like some chart (or image) didn't go through.
FYI
On Mon, Apr 25, 2016 at 12:50 PM, Ali Tootoonchian wrote:
> Caching shuffle RDD before the sort process improves system performance.
> SQL
> planner can be intellige
Zhan:
I have mentioned the JIRA numbers in the thread starting with (note the
typo in subject of this thread):
RFC: Remove ...
On Thu, Apr 21, 2016 at 1:28 PM, Zhan Zhang wrote:
> FYI: There are several pending patches for DataFrame support on top of
> HBase.
>
> Thanks.
>
> Zhan Zhang
>
> On A
Interesting analysis.
Can you log a JIRA ?
> On Apr 21, 2016, at 11:07 AM, atootoonchian wrote:
>
> SQL query planner can have intelligence to push down filter commands towards
> the storage layer. If we optimize the query planner such that the IO to the
> storage is reduced at the cost of run
Interesting.
For #3:
bq. reading data from,
I guess you meant reading from disk.
On Wed, Apr 20, 2016 at 10:45 AM, atootoonchian wrote:
> Current spark logging mechanism can be improved by adding the following
> parameters. It will help in understanding system bottlenecks and provide
> useful
:
> On Tue, Apr 19, 2016 at 11:07 AM, Ted Yu wrote:
>
>> The same question can be asked w.r.t. examples for other projects, such
>> as flume and kafka.
>>
>
> The main difference being that flume and kafka integration are part of
> Spark itself. HBase integratio
> On Tue, Apr 19, 2016 at 1:59 PM, Ted Yu wrote:
>
>> bq. HBase's current support, even if there are bugs or things that still
>> need to be done, is much better than the Spark example
>>
>> In my opinion, a simple example that works is better than a buggy
too
> many dependencies for something that is not really useful, is why I'm
> suggesting removing it.
>
>
> On Tue, Apr 19, 2016 at 10:47 AM, Ted Yu wrote:
> > There is an Open JIRA for fixing the documentation: HBASE-15473
> >
> > I would say the refguide li
gt;
> While you're at it, here's some much better documentation, from the
> HBase project themselves, than what the Spark example provides:
> http://hbase.apache.org/book.html#spark
>
> On Tue, Apr 19, 2016 at 10:41 AM, Ted Yu wrote:
> > bq. it's actually in use
'bq.' is used in JIRA to quote what other people have said.
On Tue, Apr 19, 2016 at 10:42 AM, Reynold Xin wrote:
> Ted - what's the "bq" thing? Are you using some 3rd party (e.g. Atlassian)
> syntax? They are not being rendered in email.
>
>
> On Tue,
se's input
> formats), which makes it not very useful as a blueprint for developing
> HBase apps with Spark.
>
> On Tue, Apr 19, 2016 at 10:28 AM, Ted Yu wrote:
> > bq. I wouldn't call it "incomplete".
> >
> > I would call it incomplete.
> >
&g
bq. create a separate tarball for them
Probably another thread can be started for the above.
I am fine with it.
On Tue, Apr 19, 2016 at 10:34 AM, Marcelo Vanzin
wrote:
> On Tue, Apr 19, 2016 at 10:28 AM, Reynold Xin wrote:
> > Yea in general I feel examples that bring in a large amount of
> de
On Tue, Apr 19, 2016 at 10:23 AM, Marcelo Vanzin
wrote:
> On Tue, Apr 19, 2016 at 10:20 AM, Ted Yu wrote:
> > I want to note that the hbase-spark module in HBase is incomplete. Zhan
> has
> > several patches pending review.
>
> I wouldn't call it "incomplete
Corrected typo in subject.
I want to note that the hbase-spark module in HBase is incomplete. Zhan has
several patches pending review.
hbase-spark module is currently only in master branch which would be
released as 2.0
However the release date for 2.0 is unclear - probably half a year from now.
s; a higher barrier to contributing; a combination
>> thereof; etc...
>>
>> Also relevant: http://danluu.com/discourage-oss/
>>
>> By the way, some people noted that closing PRs may discourage
>> contributors. I think our open PR count alone is very discouraging. Und
ing people look at the pull requests that have been inactive
>>> for a
>>> > long time. That seems equally likely (or unlikely) as committers
>>> looking at
>>> > the recently closed pull requests.
>>> >
>>> > In either case, most
en but the cost to reopen is approximately zero (i.e.
> click a button on the pull request).
>
>
> On Mon, Apr 18, 2016 at 12:41 PM, Ted Yu wrote:
>
>> bq. close the ones where they don't respond for a week
>>
>> Does this imply that the script understands re
filtered for non-mergeable PRs or instead left a comment
> asking the author to respond if they are still available to move the PR
> forward - and close the ones where they don't respond for a week?
>
> Just a suggestion.
> On Monday, April 18, 2016, Ted Yu wrote:
>
>>
I had one PR which got merged after 3 months.
If the inactivity was due to contributor, I think it can be closed after 30
days.
But if the inactivity was due to lack of review, the PR should be kept open.
On Mon, Apr 18, 2016 at 12:17 PM, Cody Koeninger wrote:
> For what it's worth, I have defi
unaligned memory access on a platform where unaligned memory access is
> definitely not supported for shorts/ints/longs.
>
> if these tests continue to pass then I think the Spark tests don't
> exercise unaligned memory access, cheers
>
>
>
>
>
>
>
> From:
added
>
> Cheers,
>
>
>
>
> From:Ted Yu
> To:Adam Roberts/UK/IBM@IBMGB
> Cc:"dev@spark.apache.org"
> Date:15/04/2016 16:43
> Subject:Re: BytesToBytes and unaligned memory
> --
>
&g
unaligned);*
> }
> }
>
> Output is, as you'd expect, "used reflection and _unaligned is false,
> setting to true anyway for experimenting", and the tests pass.
>
> No other problems on the platform (pending a different pull request).
>
> Cheers,
>
>
I assume you tested 2.0 with SPARK-12181 .
Related code from Platform.java if java.nio.Bits#unaligned() throws
exception:
// We at least know x86 and x64 support unaligned access.
String arch = System.getProperty("os.arch", "");
//noinspection DynamicRegexReplaceableByCompiledPa
Gentle ping: spark-1.6.1-bin-hadoop2.4.tgz from S3 is still corrupt.
On Wed, Apr 6, 2016 at 12:55 PM, Josh Rosen
wrote:
> Sure, I'll take a look. Planning to do full verification in a bit.
>
> On Wed, Apr 6, 2016 at 12:54 PM Ted Yu wrote:
>
>> Josh:
>> Can you ch
I see the following code toward the end of the method:
// Unpersist the RDDs hidden by newly-materialized RDDs
oldMessages.unpersist(blocking = false)
prevG.unpersistVertices(blocking = false)
prevG.edges.unpersist(blocking = false)
Wouldn't the above achieve same effect ?
Sent PR:
https://github.com/apache/spark/pull/12276
I was able to get build going past mllib-local module.
FYI
On Sat, Apr 9, 2016 at 12:40 PM, Ted Yu wrote:
> The broken build was caused by the following:
>
> [SPARK-14462][ML][MLLIB] add the mllib-local build to maven pom
>
&
The broken build was caused by the following:
[SPARK-14462][ML][MLLIB] add the mllib-local build to maven pom
See
https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-maven-hadoop-2.7/607/
FYI
On Sat, Apr 9, 2016 at 12:01 PM, Jacek Laskowski wrote:
> Hi,
>
> Is this me or the build is
Front
>>> (i.e.
>>> >> the “direct download” option on spark.apache.org) are also corrupt.
>>> >>
>>> >> Btw what’s the correct way to verify the SHA of a Spark package? I’ve
>>> tried
>>> >> a few commands on working pack
i
>
> https://medium.com/@jaceklaskowski/
> Mastering Apache Spark http://bit.ly/mastering-apache-spark
> Follow me at https://twitter.com/jaceklaskowski
>
>
> On Tue, Apr 5, 2016 at 8:41 PM, Ted Yu wrote:
> > Looking at recent
> >
> https://amplab.cs.berkeley.e
Looking at recent
https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-maven-hadoop-2.7
builds, there was no such error.
I don't see anything wrong with the code:
usage = "_FUNC_(str) - " +
"Returns str, with the first letter of each word in uppercase, all
other letters in " +
Mind
Josh:
You may have noticed the following error (
https://amplab.cs.berkeley.edu/jenkins/job/spark-master-test-maven-hadoop-2.7/566/console
):
[error] javac: invalid source release: 1.8
[error] Usage: javac
[error] use -help for a list of possible options
On Tue, Apr 5, 2016 at 2:14 PM, Josh Ro
The next line should give some clue:
expectCorrectException { ssc.transform(Seq(ds), transformF) }
Closure shouldn't include return.
On Tue, Apr 5, 2016 at 3:40 PM, Jacek Laskowski wrote:
> Hi,
>
> In
> https://github.com/apache/spark/blob/master/streaming/src/test/scala/org/apache/spark/st
Raymond:
Did "namenode" appear in any of the Spark config files ?
BTW Scala 2.11 is used by the default build.
On Tue, Apr 5, 2016 at 6:22 AM, Raymond Honderdors <
raymond.honderd...@sizmek.com> wrote:
> I can see that the build is successful
>
> (-Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 -Phi
Looks like the import comes from
repl/scala-2.11/src/main/scala/org/apache/spark/repl/SparkILoop.scala :
processLine("import sqlContext.sql")
On Mon, Apr 4, 2016 at 5:16 PM, Jacek Laskowski wrote:
> Hi Spark devs,
>
> I'm unsure if what I'm seeing is correct. I'd appreciate any input
> to
on't you wipe everything out and try again?
>
> On Monday, April 4, 2016, Ted Yu wrote:
>
>> The commit you mentioned was made Friday.
>> I refreshed workspace Sunday - so it was included.
>>
>> Maybe this was related:
>>
>> $ bin/spark-shell
>&g
; >
>>> > On Fri, Mar 18, 2016 at 6:11 PM Jakob Odersky
>>> wrote:
>>> >>
>>> >> I just experienced the issue, however retrying the download a second
>>> >> time worked. Could it be that there is some load balancer/c
bq. the modifications do not touch the scheduler
If the changes can be ported over to 1.6.1, do you mind reproducing the
issue there ?
I ask because master branch changes very fast. It would be good to narrow
the scope where the behavior you observed started showing.
On Mon, Apr 4, 2016 at 6:12
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