We came across a Spark SQL issue
(https://issues.apache.org/jira/browse/SPARK-7119) that cause query to fail.
I not sure that if vote -1 to this RC1.
--
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Thanks Andrew, the doc issue should be fixed in RC2 (if not, please
chine in!). R was missing in the build envirionment.
- Patrick
On Fri, May 22, 2015 at 3:33 PM, Shivaram Venkataraman
wrote:
> Thanks for catching this. I'll check with Patrick to see why the R API docs
> are not getting include
Thanks for catching this. I'll check with Patrick to see why the R API docs
are not getting included.
On Fri, May 22, 2015 at 2:44 PM, Andrew Psaltis
wrote:
> All,
> Should all the docs work from
> http://people.apache.org/~pwendell/spark-1.4.0-rc1-docs/ ? If so the R
> API docs 404.
>
>
On
All,
Should all the docs work from
http://people.apache.org/~pwendell/spark-1.4.0-rc1-docs/ ? If so the R API
docs 404.
>>> On Tue, May 19, 2015 at 11:10 AM, Patrick Wendell
>>> wrote:
>>>
Please vote on releasing the following candidate as Apache Spark
version 1.4.0!
The tag
Thanks for the feedback. As you stated UDTs are explicitly not a public
api as we knew we were going to be making breaking changes to them. We
hope to stabilize / open them up in future releases. Regarding the Hive
issue, have you tried using TestHive instead. This is what we use for
testing an
I'm working on one of the Palantir teams using Spark, and here is our
feedback:
We have encountered three issues when upgrading to spark 1.4.0. I'm not
sure they qualify as a -1, as they come from using non-public APIs and
multiple spark contexts for the purposes of testing, but I do want to bring
A clean build worked.
Thanks everyone for the help!
On Fri, May 22, 2015 at 8:42 PM, Edoardo Vacchi
wrote:
> confirming. master has been broken in the morning; currently it should
> be ok, though
>
> On Fri, May 22, 2015 at 4:34 PM, Manoj Kumar
> wrote:
> > Hello,
> >
> > I updated my master f
This is expected for example if your RDD is the result of random
sampling, or if the underlying source is not consistent. You haven't
shown any code.
On Fri, May 22, 2015 at 3:34 PM, Niklas Wilcke
<1wil...@informatik.uni-hamburg.de> wrote:
> Hi,
>
> I have recognized a strange behavior of spark co
Hi Kevin,
One thing that might help you in the meantime, while we work on a better
interface for all this...
On Thu, May 21, 2015 at 5:21 PM, Kevin Markey
wrote:
> Making *yarn.Client* private has prevented us from moving from Spark
> 1.0.x to Spark 1.2 or 1.3 despite many alluring new features
We ran into an issue regarding Strings in UDTs when upgrading to Spark
1.4.0-rc. I understand that it's a non-public APIs, so it's expected, but I
just wanted to bring it up for awareness and so we can maybe change the
release notes to mention them =)
Our UDT was serializing to a StringType, but n
confirming. master has been broken in the morning; currently it should
be ok, though
On Fri, May 22, 2015 at 4:34 PM, Manoj Kumar
wrote:
> Hello,
>
> I updated my master from upstream recently, and on running
>
> build/sbt assembly
>
> it gives me this error
>
> [error]
> /home/manoj/spark/exampl
What version of Java do you use ?
Can you run this command first ?
build/sbt clean
BTW please see [SPARK-7498] [MLLIB] add varargs back to setDefault
Cheers
On Fri, May 22, 2015 at 7:34 AM, Manoj Kumar wrote:
> Hello,
>
> I updated my master from upstream recently, and on running
>
> build/sb
Hi,
I have recognized a strange behavior of spark core in combination with
mllib. Running my pipeline results in a RDD.
Calling count() on this RDD results in 160055.
Calling count() directly afterwards results in 160044 and so on.
The RDD seems to be unstable.
How can that be? Do you maybe have
Hello,
I updated my master from upstream recently, and on running
build/sbt assembly
it gives me this error
[error]
/home/manoj/spark/examples/src/main/java/org/apache/spark/examples/ml/JavaDeveloperApiExample.java:106:
error: MyJavaLogisticRegression is not abstract and does not override
abstr
I’ve built Spark 1.4.0 for Hadoop 2.6 in a CDH5.4 and am testing SparkR. I’ve
loaded up SparkR using the executable in /bin. The library import
library(SparkR) seems to no longer import some of the same functions as it did
for SparkR before the merge, e.g. textFile, lapply, etc. but it does incl
Yijie,
As Davies said, it will take us a while to get to vectorized execution.
However, before that, we are going to refactor code generation to push it
into each expression: https://issues.apache.org/jira/browse/SPARK-7813
Once this one is in (probably in the next 2 or 3 weeks), there will be lo
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