- spun up an EC2 cluster successfully using spark-ec2
- tested S3 file access from that cluster successfully
+1
On Tue, Jul 29, 2014 at 1:46 AM, Henry Saputra henry.sapu...@gmail.com
wrote:
NOTICE and LICENSE files look good
Hashes and sigs look good
No executable in the source
+1 Tested on standalone and yarn clusters
2014-07-28 14:59 GMT-07:00 Tathagata Das tathagata.das1...@gmail.com:
Let me add my vote as well.
Did some basic tests by running simple projects with various Spark
modules. Tested checksums.
+1
On Sun, Jul 27, 2014 at 4:52 PM, Matei Zaharia
+1 (non-binding)
Tested this on Mac OS X.
On Mon, Jul 28, 2014 at 6:52 PM, Andrew Or and...@databricks.com wrote:
+1 Tested on standalone and yarn clusters
2014-07-28 14:59 GMT-07:00 Tathagata Das tathagata.das1...@gmail.com:
Let me add my vote as well.
Did some basic tests by running
+1
Tested basic spark-shell and pyspark operations and MLlib examples on a Mac.
On Mon, Jul 28, 2014 at 8:29 PM, Mubarak Seyed spark.devu...@gmail.com wrote:
+1 (non-binding)
Tested this on Mac OS X.
On Mon, Jul 28, 2014 at 6:52 PM, Andrew Or and...@databricks.com wrote:
+1 Tested on
NOTICE and LICENSE files look good
Hashes and sigs look good
No executable in the source distribution
Compile source and run standalone
+1
- Henry
On Fri, Jul 25, 2014 at 4:08 PM, Tathagata Das
tathagata.das1...@gmail.com wrote:
Please vote on releasing the following candidate as Apache Spark
Apache Spark 1.0.2 (RC1)
Please vote on releasing the following candidate as Apache Spark version 1.0.2.
This release fixes a number of bugs in Spark 1.0.1.
Some of the notable ones are
- SPARK-2452: Known issue is Spark 1.0.1 caused by attempted fix for
SPARK-1199. The fix was reverted
26, 2014 07:08 AM
To: dev@spark.apache.orgdev@spark.apache.org;
Subject: [VOTE] Release Apache Spark 1.0.2 (RC1)
Please vote on releasing the following candidate as Apache Spark version
1.0.2.
This release fixes a number of bugs in Spark 1.0.1.
Some of the notable ones are
- SPARK
;tathagata.das1...@gmail.com;
Date: Sat, Jul 26, 2014 07:08 AM
To: dev@spark.apache.orgdev@spark.apache.org;
Subject: [VOTE] Release Apache Spark 1.0.2 (RC1)
Please vote on releasing the following candidate as Apache Spark version
1.0.2.
This release fixes a number of bugs in Spark 1.0.1
Hey Ted,
We always intend Spark to work with the newer Hadoop versions and
encourage Spark users to use the newest Hadoop versions for best
performance.
We do try to be liberal in terms of supporting older versions as well.
This is because many people run older HDFS versions and we want Spark
to
Good idea, although it gets difficult in the context of multiple
distributions. Say change X is not present in version A, but present
in version B. If you depend on X, what version can you look for to
detect it? The distribution will return A or A+X or somesuch, but
testing for A will give an
+1
Tested this on Mac OS X.
Matei
On Jul 25, 2014, at 4:08 PM, Tathagata Das tathagata.das1...@gmail.com wrote:
Please vote on releasing the following candidate as Apache Spark version
1.0.2.
This release fixes a number of bugs in Spark 1.0.1.
Some of the notable ones are
- SPARK-2452:
We could also do this, though it would be great if the Hadoop project provided
this version number as at least a baseline. It's up to distributors to decide
which version they report but I imagine they won't remove stuff that's in the
reported version number.
Matei
On Jul 27, 2014, at 1:57
That query is looking at Fix Version not Target Version. The fact that
the first one is still open is only because the bug is not resolved in
master. It is fixed in 1.0.2. The second one is partially fixed in 1.0.2,
but is not worth blocking the release for.
On Fri, Jul 25, 2014 at 4:23 PM,
The most important issue in this release is actually an ammendment to
an earlier fix. The original fix caused a deadlock which was a
regression from 1.0.0-1.0.1:
Issue:
https://issues.apache.org/jira/browse/SPARK-1097
1.0.1 Fix:
https://github.com/apache/spark/pull/1273/files (had a deadlock)
HADOOP-10456 is fixed in hadoop 2.4.1
Does this mean that synchronization
on HadoopRDD.CONFIGURATION_INSTANTIATION_LOCK can be bypassed for hadoop
2.4.1 ?
Cheers
On Fri, Jul 25, 2014 at 6:00 PM, Patrick Wendell pwend...@gmail.com wrote:
The most important issue in this release is actually an
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