Hey just a heads up to everyone - running a bit behind on getting the
final artifacts and notes up. Finalizing this release was much more
complicated than previous ones due to new binary formats (we need to
redesign the download page a bit for this to work) and the large
increase in contributor
+1
Tested streaming integration with flume on a local test bed.
On Thu, Sep 4, 2014 at 6:08 PM, Kan Zhang kzh...@apache.org wrote:
+1
Compiled, ran newly-introduced PySpark Hadoop input/output examples.
On Thu, Sep 4, 2014 at 1:10 PM, Egor Pahomov pahomov.e...@gmail.com
wrote:
+1
+1
Tested recently merged mllib matrix multiplication bugfix
https://github.com/apache/spark/pull/2224
On Sat, Sep 6, 2014 at 2:35 PM, Tathagata Das tathagata.das1...@gmail.com
wrote:
+1
Tested streaming integration with flume on a local test bed.
On Thu, Sep 4, 2014 at 6:08 PM, Kan Zhang
+1. Ran spark on yarn on hadoop 0.23 and 2.x.
Tom
On Wednesday, September 3, 2014 2:25 AM, Patrick Wendell pwend...@gmail.com
wrote:
Please vote on releasing the following candidate as Apache Spark version 1.1.0!
The tag to be voted on is v1.1.0-rc4 (commit 2f9b2bd):
On 09/03/2014 04:23 PM, Nicholas Chammas wrote:
On Wed, Sep 3, 2014 at 3:24 AM, Patrick Wendell pwend...@gmail.com wrote:
== What default changes should I be aware of? ==
1. The default value of spark.io.compression.codec is now snappy
-- Old behavior can be restored by switching to lzf
2.
LICENSE and NOTICE files are good
Hash files are good
Signature files are good
No 3rd parties executables
Source compiled
Run local and standalone tests
Test persist off heap with Tachyon looks good
+1
- Henry
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com wrote:
Please
+1
Compiled, ran on yarn-hadoop-2.3 simple job.
2014-09-04 22:22 GMT+04:00 Henry Saputra henry.sapu...@gmail.com:
LICENSE and NOTICE files are good
Hash files are good
Signature files are good
No 3rd parties executables
Source compiled
Run local and standalone tests
Test persist off
On Thu, Sep 4, 2014 at 1:50 PM, Gurvinder Singh gurvinder.si...@uninett.no
wrote:
There is a regression when using pyspark to read data
from HDFS.
Could you open a JIRA http://issues.apache.org/jira/ with a brief repro?
We'll look into it.
(You could also provide a repro in a separate
+1
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+1
Compiled, ran newly-introduced PySpark Hadoop input/output examples.
On Thu, Sep 4, 2014 at 1:10 PM, Egor Pahomov pahomov.e...@gmail.com wrote:
+1
Compiled, ran on yarn-hadoop-2.3 simple job.
2014-09-04 22:22 GMT+04:00 Henry Saputra henry.sapu...@gmail.com:
LICENSE and NOTICE files
Please vote on releasing the following candidate as Apache Spark version 1.1.0!
The tag to be voted on is v1.1.0-rc4 (commit 2f9b2bd):
https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=2f9b2bd7844ee8393dc9c319f4fefedf95f5e460
The release files, including signatures, digests, etc.
I'll kick it off with a +1
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com wrote:
Please vote on releasing the following candidate as Apache Spark version
1.1.0!
The tag to be voted on is v1.1.0-rc4 (commit 2f9b2bd):
+1
Tested locally on Mac OS X with local-cluster mode.
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com wrote:
I'll kick it off with a +1
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com
wrote:
Please vote on releasing the following candidate as
+1
On Wed, Sep 3, 2014 at 12:29 AM, Reynold Xin r...@databricks.com wrote:
+1
Tested locally on Mac OS X with local-cluster mode.
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com
wrote:
I'll kick it off with a +1
On Wed, Sep 3, 2014 at 12:24 AM, Patrick
+1. Tested some MLlib example code.
For default changes, maybe it is useful to mention the default
broadcast factory changed to torrent.
On Wed, Sep 3, 2014 at 12:34 AM, Michael Armbrust
mich...@databricks.com wrote:
+1
On Wed, Sep 3, 2014 at 12:29 AM, Reynold Xin r...@databricks.com wrote:
+1 Tested on Yarn and Windows. Also verified that standalone cluster mode
is now fixed.
2014-09-03 1:25 GMT-07:00 Xiangrui Meng men...@gmail.com:
+1. Tested some MLlib example code.
For default changes, maybe it is useful to mention the default
broadcast factory changed to torrent.
On
+1 signatures still fine, tests still pass. On Mac OS X I get the
following failure but I think it's spurious. Only mentioning it to see
if anyone else sees it. It doesn't happen on Linux.
[error] Test
org.apache.spark.streaming.kafka.JavaKafkaStreamSuite.testKafkaStream
failed:
On Wed, Sep 3, 2014 at 3:24 AM, Patrick Wendell pwend...@gmail.com wrote:
== What default changes should I be aware of? ==
1. The default value of spark.io.compression.codec is now snappy
-- Old behavior can be restored by switching to lzf
2. PySpark now performs external spilling during
+1
built from sha w/ make-distribution.sh
tested basic examples (0 data) w/ local on fedora 20 (openjdk 1.7,
python 2.7.5)
tested detection and log processing (25GB data) w/ mesos (0.19.0) nfs
on rhel 7 (openjdk 1.7, python 2.7.5)
On 09/03/2014 03:24 AM, Patrick Wendell wrote:
Please vote
Hey Nick,
Yeah we'll put those in the release notes.
On Wed, Sep 3, 2014 at 7:23 AM, Nicholas Chammas
nicholas.cham...@gmail.com wrote:
On Wed, Sep 3, 2014 at 3:24 AM, Patrick Wendell pwend...@gmail.com wrote:
== What default changes should I be aware of? ==
1. The default value of
+1 (non-binding)
- checked checksums of a few packages
- ran few jobs against yarn client/cluster using hadoop2.3 package
- played with spark-shell in yarn-client mode
On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell pwend...@gmail.com wrote:
Please vote on releasing the following candidate as
+1. Tested on Windows and EC2. Confirmed that the EC2 pvm-hvm switch fixed
the SPARK-3358 regression.
On September 3, 2014 at 10:33:45 AM, Marcelo Vanzin (van...@cloudera.com) wrote:
+1 (non-binding)
- checked checksums of a few packages
- ran few jobs against yarn client/cluster using
+1.
Tested locally on OSX 10.9, built with Hadoop 2.4.1
- Checked Datanucleus jar files
- Tested Spark SQL Thrift server and CLI under local mode and standalone
cluster against MySQL backed metastore
On Wed, Sep 3, 2014 at 11:25 AM, Josh Rosen rosenvi...@gmail.com wrote:
+1. Tested on
+1 (non-binding)
Tested locally on Mac OS X with local-cluster mode.
On Wed, Sep 3, 2014 at 12:23 PM, Cheng Lian lian.cs@gmail.com wrote:
+1.
Tested locally on OSX 10.9, built with Hadoop 2.4.1
- Checked Datanucleus jar files
- Tested Spark SQL Thrift server and CLI under local mode
+1 tested thrift server with our in-house application, everything works fine
--
Nan Zhu
On Wednesday, September 3, 2014 at 4:43 PM, Matei Zaharia wrote:
+1
Matei
On September 3, 2014 at 12:24:32 PM, Cheng Lian (lian.cs@gmail.com
(mailto:lian.cs@gmail.com)) wrote:
+1.
+1
on OSX Yosemite, built with Hadoop 2.4.1, Hive 0.12 testing SparkSQL,
Thrift, MySQL metastore
On Wed, Sep 3, 2014 at 4:02 PM, Jeremy Freeman freeman.jer...@gmail.com
wrote:
+1
--
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