Thanks a lot for the guidelines.
I could successfully configure and debug
On Wed, Aug 24, 2016 at 7:05 PM, Jacek Laskowski wrote:
> On Wed, Aug 24, 2016 at 2:32 PM, Steve Loughran
> wrote:
>
> > no reason; the key thing is : not in cluster mode, as
Hi ,
Released latest version of Receiver based Kafka Consumer for Spark
Streaming.
Receiver is compatible with Kafka versions 0.8.x, 0.9.x and 0.10.x and All
Spark Versions
Available at Spark Packages :
https://spark-packages.org/package/dibbhatt/kafka-spark-consumer
Also at github :
Hi devs,
I'm working (at Stratio) on use spark over mesos and standalone, with a
kerberized HDFS
We are working to solve these scenarios,
- We have an long term running spark sql context using concurrently by
many users like Thrift server called CrossData, we need access to hdfs data
scala> sql("select rand() +
1").queryExecution.analyzed(0).expressions.head.treeString
res11: String =
"(rand(3296762545665822882) + cast(1 as double)) AS
(rand(3296762545665822882) + CAST(1 AS DOUBLE))#29
+- (rand(3296762545665822882) + cast(1 as double))
:- rand(3296762545665822882)
+-
@rxin
It's not I'm looking for.
Explain prints output like this.
== Physical Plan ==
*Project [id#1576L AS id#1582L]
+- *Range (0, 1000, splits=400)
I'd like to have whole tree with expressions.
So when I have "select x + y" there should by Add expresion etc.
M.
2016-08-24 22:39 GMT+02:00