Yes that's exactly the reason.
On Sat, May 23, 2015 at 12:37 AM, Yijie Shen henry.yijies...@gmail.com
wrote:
Davies and Reynold,
Glad to hear about the status.
I’ve seen [SPARK-7813](https://issues.apache.org/jira/browse/SPARK-7813)
and watching it now.
If I understand correctly, it’s
Add another Blocker issue, just created! It seems a regression.
https://issues.apache.org/jira/browse/SPARK-7853
-Original Message-
From: Sean Owen [mailto:so...@cloudera.com]
Sent: Monday, May 25, 2015 3:37 PM
To: Patrick Wendell
Cc: dev@spark.apache.org
Subject: Re: [VOTE] Release
Good catch! BTW, SPARK-6784 is duplicate to SPAKR-7790, didn't notice we
changed the title of SPARK-7853..
-Original Message-
From: Cheng, Hao [mailto:hao.ch...@intel.com]
Sent: Monday, May 25, 2015 4:47 PM
To: Sean Owen; Patrick Wendell
Cc: dev@spark.apache.org
Subject: RE: [VOTE]
Hi!
I've found that Spark only supports ExecuteStatementOperation in
SparkSQLOperationManager.
Are there any plans to support others metadata operations?
Why this question occurs - I'm trying to connect PrestoDB through standard
hive jdbc driver and it doesn't see any tables that registered as
I've just tested the new window functions using PySpark in the Spark 1.4.0
rc2 distribution for hadoop 2.4 with and without hive support.
It works well with the hive support enabled distribution and fails as
expected on the other one (with an explicit error : Could not resolve
window function
I put the design requirements and description in the commit comment. So I
will close the PR. please refer the following commit
https://github.com/AlpineNow/spark/commit/5b336bbfe92eabca7f4c20e5d49e51bb3721da4d
On Mon, May 25, 2015 at 3:21 PM, Chester Chen ches...@alpinenow.com wrote:
All,
Hi,
I understand from SPARK-6799[1] and the respective merge commit [2] that
the RDD class is private in Spark 1.4 . If I wanted to modify the old
Kmeans and/or LR examples so that the computation happened in Spark what is
the best direction to go? Sorry if I am missing something obvious, but
Compiled:
git clone https://github.com/apache/spark.git
git checkout tags/v1.4.0-rc2
./make-distribution.sh --tgz --skip-java-test -Pyarn -Phadoop-2.4
-Dhadoop.version=2.5.0 -Phive -Phive-0.13.1 -Phive-thriftserver -DskipTests
Block issue in RC1/RC2:
All,
I have created a PR just for the purpose of helping document the use
case, requirements and design. As it is unlikely to get merge in. So it
only used to illustrate the problems we trying and solve and approaches we
took.
https://github.com/apache/spark/pull/6398
Hope this
