Re: welcome a new batch of committers

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

Re: [VOTE] SPARK 2.4.0 (RC2)

+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

Re: from_csv

+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

Re: Upgrade SBT to the latest

+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

Re: SPIP: Executor Plugin (SPARK-24918)

+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

Re: Spark Kafka adapter questions

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--13387949

Re: Spark Kafka adapter questions

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

Re: 回复： Welcome Zhenhua Wang as a Spark committer

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

Re: DataSourceV2 write input requirements

+1 Original message From: Ryan Blue <rb...@netflix.com> Date: 3/30/18 2:28 PM (GMT-08:00) To: Patrick Woody <patrick.woo...@gmail.com> Cc: Russell Spitzer <russell.spit...@gmail.com>, Wenchen Fan <cloud0...@gmail.com>, Ted Yu <yuzhih...@gmai

Re: DataSourceV2 write input requirements

gt;>>>>>> I can >>>>>>>>>> tell, a hash function for combining clusters into tasks or a way to >>>>>>>>>> provide >>>>>>>>>> Spark a hash function for the other side of a join. It seems &

Re: DataSourceV2 write input requirements

<cloud0...@gmail.com> 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 <yuzhih...@gmail.c

Re: DataSourceV2 write input requirements

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

Re: [VOTE] Spark 2.3.0 (RC1)

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

Re: Broken SQL Visualization?

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

Re: Welcoming Saisai (Jerry) Shao as a committer

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

Re: Performance Benchmark Hbase vs Cassandra

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,

Re: how to mention others in JIRA comment please?

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:

Re: the compile of spark stoped without any hints, would you like help me please?

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 : >

Re: Should we consider a Spark 2.1.1 release?

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

Re: HBaseContext with Spark

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 <chetan.opensou...@gmail.com> wrote: > @Ted Yu, Correct but HBase-Spa

Re: HBaseContext with Spark

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, > >

Re: Approach: Incremental data load from HBASE

of processing is delivered to hbase. Cheers On Wed, Dec 21, 2016 at 8:00 AM, Chetan Khatri <chetan.opensou...@gmail.com> 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

Re: Approach: Incremental data load from HBASE

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

Re: Difference between netty and netty-all

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

Re: PSA: JIRA resolutions and meanings

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

Re: PSA: JIRA resolutions and meanings

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

Re: Spark 1.x/2.x qualifiers in downstream artifact names

'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

Re: Welcoming Felix Cheung as a committer

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,

Re: SQL Based Authorization for SparkSQL

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

Re: Build speed

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] >

Re: Spark performance regression test suite

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, >

Re: [VOTE] Release Apache Spark 2.0.0 (RC2)

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,

Re: [VOTE] Release Apache Spark 1.6.2 (RC1)

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

Re: Kryo registration for Tuples?

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] >

Re: Can't use UDFs with Dataframes in spark-2.0-preview scala-2.10

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: >

Re: Can't use UDFs with Dataframes in spark-2.0-preview scala-2.10

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 > >

Re: Dataset API agg question

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 > >

Re: Can't use UDFs with Dataframes in spark-2.0-preview scala-2.10

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

Re: Can't compile 2.0-preview with scala 2.10

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 <

Re: Welcoming Yanbo Liang as a committer

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 >

Re: ClassCastException: SomeCaseClass cannot be cast to org.apache.spark.sql.Row

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: >

Re: Using Travis for JDK7/8 compilation and lint-java.

t; >>> Thank you, Steve and Hyukjin. >>> >>> And, don't worry, Ted. >>> >>> Travis launches new VMs for every PR. >>> >>> Apache Spark repository uses the following setting. >>> >>> VM: Google Compute Engine >&g

Re: Running TPCDSQueryBenchmark results in java.lang.OutOfMemoryError

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

Re: Using Travis for JDK7/8 compilation and lint-java.

mend 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 for any CIs.

Re: Using Travis for JDK7/8 compilation and lint-java.

`dev/lint-java`. > - 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 <yuzhih...@gmail.com> wrote: > >> The following line was repeated twice: >> >> - For Oracle JDK7,

Re: Using Travis for JDK7/8 compilation and 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

Re: Quick question on spark performance

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

Re: Query parsing error for the join query between different database

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

Re: dataframe udf functioin will be executed twice when filter on new column created by withColumn

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

Re: Structured Streaming with Kafka source/sink

Please see this thread: http://search-hadoop.com/m/q3RTt9XAz651PiG/Adhoc+queries+spark+streaming=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

Re: Cache Shuffle Based Operation Before Sort

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

Re: Proposal of closing some PRs and maybe some PRs abandoned by its author

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

Re: SQLContext and "stable identifier required"

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

Re: spark 2 segfault

lt;ko...@tresata.com> wrote: > >> Created issue: >> https://issues.apache.org/jira/browse/SPARK-15062 >> >> On Mon, May 2, 2016 at 6:48 AM, Ted Yu <yuzhih...@gmail.com> wrote: >> >>> I tried the same statement using Spark 1.6.1 >>> There was no e

Re: spark 2 segfault

gt; showed earlier. > >> On May 2, 2016 12:09 AM, "Ted Yu" <yuzhih...@gmail.com> wrote: >> Using commit hash 90787de864b58a1079c23e6581381ca8ffe7685f and Java 1.7.0_67 >> , I got: >> >> scala> val dfComplicated = sc.parallelize(List((Map(&quo

Re: Number of partitions for binaryFiles

er.ula...@hpe.com > wrote: > 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:yu

Re: Number of partitions for binaryFiles

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

Re: Cache Shuffle Based Operation Before Sort

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

Re: RFC: Remote "HBaseTest" from examples?

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. > >

Re: [Spark-SQL] Reduce Shuffle Data by pushing filter toward storage

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

Re: Improving system design logging in spark

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

Re: RFC: Remove "HBaseTest" from examples?

van...@cloudera.com> wrote: > On Tue, Apr 19, 2016 at 11:07 AM, Ted Yu <yuzhih...@gmail.com> 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 int

Re: RFC: Remove "HBaseTest" from examples?

ep it within Spark? > > On Tue, Apr 19, 2016 at 1:59 PM, Ted Yu <yuzhih...@gmail.com> 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 simpl

Re: RFC: Remove "HBaseTest" from examples?

gs 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 <yuzhih...@gmail.com> wrote: > > There is an Open JIRA for fixing the documentation: HBASE-15473 > > > > I wo

Re: RFC: Remove "HBaseTest" from examples?

; On Tue, Apr 19, 2016 at 10:41 AM, Ted Yu <yuzhih...@gmail.com> wrote: > >> bq. it's actually in use right now in spite of not being in any upstream >> HBase release >> >> If it is not in upstream, then it is not relevant for discussion on >> Apache mai

Re: RFC: Remove "HBaseTest" from examples?

of HBase'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 <yuzhih...@gmail.com> wrote: > > bq. I wouldn't call it "incomplete". > > > > I would call i

Re: RFC: Remove "HBaseTest" from examples?

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

Re: RFC: Remove "HBaseTest" from examples?

r 19, 2016 at 10:23 AM, Marcelo Vanzin <van...@cloudera.com> wrote: > On Tue, Apr 19, 2016 at 10:20 AM, Ted Yu <yuzhih...@gmail.com> wrote: > > I want to note that the hbase-spark module in HBase is incomplete. Zhan > has > > several patches pending review. &

Re: auto closing pull requests that have been inactive > 30 days?

ess; more committers; 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 alon

Re: auto closing pull requests that have been inactive > 30 days?

you were referring to the cost of closing the pull request, >>> and you >>> > are assuming people look at the pull requests that have been inactive >>> for a >>> > long time. That seems equally likely (or unlikely) as committers >>> looking at

Re: auto closing pull requests that have been inactive > 30 days?

sometimes mistake happen 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 <yuzhih...@gmail.com> wrote: > >> bq. close the ones where they don't respond for a week >> >>

Re: auto closing pull requests that have been inactive > 30 days?

about if we 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 <yuzhih...@gm

Re: auto closing pull requests that have been inactive > 30 days?

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

Re: BytesToBytes and unaligned memory

; 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:Ted

Re: BytesToBytes and unaligned memory

ks to prints I've added > > Cheers, > > > > > From:Ted Yu <yuzhih...@gmail.com> > To:Adam Roberts/UK/IBM@IBMGB > Cc:"dev@spark.apache.org" <dev@spark.apache.org> > Date:15/04/20

Re: BytesToBytes and unaligned memory

turning: " + 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). > &g

Re: BytesToBytes and unaligned memory

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

Re: Spark 1.6.1 Hadoop 2.6 package on S3 corrupt?

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 <joshro...@databricks.com> 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 <yuzhih..

Re: spark graphx storage RDD memory leak

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

Re: [BUILD FAILURE] Spark Project ML Local Library - me or it's real?

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 <yuzhih...@gmail.com> wrote: > The broken build was caused by the following: > > [SPARK-14462][ML][MLLIB] add the mllib-local

Re: [BUILD FAILURE] Spark Project ML Local Library - me or it's real?

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

Re: Spark 1.6.1 Hadoop 2.6 package on S3 corrupt?

@gmail.com> wrote: >>> >> An additional note: The Spark packages being served off of CloudFront >>> (i.e. >>> >> the “direct download” option on spark.apache.org) are also corrupt. >>> >> >>> >> Btw what’s the correct way

Re: BROKEN BUILD? Is this only me or not?

k Laskowski > > 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 <yuzhih...@gmail.com> wrote: > > Looking at recent > &g

Re: BROKEN BUILD? Is this only me or not?

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

Re: Updating Spark PR builder and 2.x test jobs to use Java 8 JDK

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

Re: [STREAMING] DStreamClosureSuite.scala with { return; ssc.sparkContext.emptyRDD[Int] } Why?!

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 >

Re: Build with Thrift Server & Scala 2.11

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

Re: error: reference to sql is ambiguous after import org.apache.spark._ in shell?

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

Re: explain codegen

wrote: > Why don't you wipe everything out and try again? > > On Monday, April 4, 2016, Ted Yu <yuzhih...@gmail.com> wrote: > >> The commit you mentioned was made Friday. >> I refreshed workspace Sunday - so it was included. >> >> Maybe this was related: >

Re: Spark 1.6.1 Hadoop 2.6 package on S3 corrupt?

ime worked. Could it be that there is some load balancer/cache in >>> >> front of the archive and some nodes still serve the corrupt packages? >>> >> >>> >> On Fri, Mar 18, 2016 at 8:00 AM, Nicholas Chammas >>> >> <nicholas.cham...@gmai

Re: RDD Partitions not distributed evenly to executors

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

Re: explain codegen

; > Herman van Hövell > > 2016-04-04 12:15 GMT+02:00 Ted Yu <yuzhih...@gmail.com>: > >> Could the error I encountered be due to missing import(s) of implicit ? >> >> Thanks >> >> On Sun, Apr 3, 2016 at 9:42 PM, Reynold Xin <r...@databricks.com> w

Re: explain codegen

; > /* 011 */ ... > > > On Sun, Apr 3, 2016 at 9:38 PM, Jacek Laskowski <ja...@japila.pl> wrote: > >> Hi, >> >> Looks related to the recent commit... >> >> Repository: spark >> Updated Branches: >> refs/heads/master 2262a9335 -> 1f

explain codegen

Hi, Based on master branch refreshed today, I issued 'git clean -fdx' first. Then this command: build/mvn clean -Phive -Phive-thriftserver -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.0 package -DskipTests I got the following error: scala> sql("explain codegen select 'a' as a group by 1").head

Re: OOM and "spark.buffer.pageSize"

I guess you have looked at MemoryManager#pageSizeBytes where the "spark.buffer.pageSize" config can override default page size. FYI On Mon, Mar 28, 2016 at 12:07 PM, Steve Johnston < sjohns...@algebraixdata.com> wrote: > I'm attempting to address an OOM issue. I saw referenced in >

Re: BlockManager WARNINGS and ERRORS

The warning was added by: SPARK-12757 Add block-level read/write locks to BlockManager On Sun, Mar 27, 2016 at 12:24 PM, salexln wrote: > HI all, > > I started testing my code (https://github.com/salexln/FinalProject_FCM) > with the latest Spark available in GitHub, > and

Re: error occurs to compile spark 1.6.1 using scala 2.11.8

>From the error message, it seems some artifacts from Scala 2.10.4 were left around. FYI maven 3.3.9 is required for master branch. On Tue, Mar 22, 2016 at 3:07 AM, Allen wrote: > Hi, > > I am facing an error when doing compilation from IDEA, please see the > attached. I

Re: Performance improvements for sorted RDDs

Do you have performance numbers to backup this proposal for cogroup operation ? Thanks On Mon, Mar 21, 2016 at 1:06 AM, JOAQUIN GUANTER GONZALBEZ < joaquin.guantergonzal...@telefonica.com> wrote: > Hello devs, > > > > I have found myself in a situation where Spark is doing sub-optimal >

Re: Spark 1.6.1 Hadoop 2.6 package on S3 corrupt?

azonaws.com/spark-related-packages/spark-1.6.1-bin-hadoop2.4.tgz >> >> Nick >> ​ >> >> On Wed, Mar 16, 2016 at 8:28 PM Ted Yu <yuzhih...@gmail.com> wrote: >> >>> On Linux, I got: >>> >>> $ tar zxf spark-1.6.1-bin-hadoop2.6

Re: Spark 1.6.1 Hadoop 2.6 package on S3 corrupt?

On Linux, I got: $ tar zxf spark-1.6.1-bin-hadoop2.6.tgz gzip: stdin: unexpected end of file tar: Unexpected EOF in archive tar: Unexpected EOF in archive tar: Error is not recoverable: exiting now On Wed, Mar 16, 2016 at 5:15 PM, Nicholas Chammas < nicholas.cham...@gmail.com> wrote: > >

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