Thank you Akhil!
Date: Fri, 14 Aug 2015 14:51:56 +0530
Subject: Re: RDD.join vs spark SQL join
From: ak...@sigmoidanalytics.com
To: jiangxia...@outlook.com
CC: user@spark.apache.org
Both works the same way, but with SparkSQL you will get the optimization etc
done by the catalyst. One important
why are you expecting footprint of dataframe to be lower when it contains
more information ( RDD + Schema)
On Sat, Aug 15, 2015 at 6:35 PM, Todd bit1...@163.com wrote:
Hi,
With following code snippet, I cached the raw RDD(which is already in
memory, but just for illustration) and its
Hi,
With following code snippet, I cached the raw RDD(which is already in memory,
but just for illustration) and its DataFrame.
I thought that the df cache would take less space than the rdd cache,which is
wrong because from the UI that I see the rdd cache takes 168B,while the df
cache takes
Have a look at this presentation.
http://www.slideshare.net/colorant/spark-shuffle-introduction . Can be of
help to you.
On Sat, Aug 15, 2015 at 1:42 PM, Muhammad Haseeb Javed
11besemja...@seecs.edu.pk wrote:
What are the major differences between how Sort based and Hash based
shuffle operate
I import the spark source code to intellij, and want to run SparkPi in
intellij, but meet the folliwing weird compilation error? I googled it and
sbt clean doesn't work for me. I am not sure whether anyone else has meet
this issue also, any help is appreciated
Error:scalac:
while compiling:
I'm using a manually installation of Spark under Yarn to run a 30 node
r3.8xlarge EC2 cluster (each node has 244Gb RAM, 600Gb SDD). All my code
runs much faster on a cluster launched w/ the spark-ec2 script, but there's
a mysterious problem with nodes becoming inaccessible, so I switched to
using
I thought that the df only contains one column, and actually contains only one
resulting row(select avg(age) from theTable).
So,I would think that it would take less space,looks my understanding is run??
At 2015-08-16 12:34:31, Rishi Yadav ri...@infoobjects.com wrote:
why are you
Hi Canan, TestSQLContext is no longer a singleton but now a class. It is
never meant to be a fully public API, but if you wish to use it you can
just instantiate a new one:
val sqlContext = new TestSQLContext
or just create a new SQLContext from a SparkContext.
-Andrew
2015-08-15 20:33
I am not sure other people's spark debugging environment ( I mean for the
master branch) , Anyone can share his experience ?
On Sun, Aug 16, 2015 at 10:40 AM, canan chen ccn...@gmail.com wrote:
I import the spark source code to intellij, and want to run SparkPi in
intellij, but meet the
I tried with master branch and got the following:
http://pastebin.com/2nhtMFjQ
FYI
On Sat, Aug 15, 2015 at 1:03 AM, Kevin Jung itsjb.j...@samsung.com wrote:
Spark shell can't find base directory of class server after running
:reset command.
scala :reset
scala 1
uncaught exception during
Hi,
We are planning to install Spark in stand alone mode on cassandra cluster.
The problem, is since Cassandra has a no-SPOF architecture ie any node can
become the master for the cluster, it creates the problem for Spark master
since it's not a peer-peer architecture where any node can become the
Spark shell can't find base directory of class server after running :reset
command.
scala :reset
scala 1
uncaught exception during compilation: java.lang.AssertiON-ERROR
java.lang.AssertiON-ERROR: assertion failed: Tried to find '$line33' in
'/tmp/spark-f47f3917-ac31-4138-bf1a-a8cefd094ac3'
What are the major differences between how Sort based and Hash based
shuffle operate and what is it that cause Sort Shuffle to perform better
than Hash?
Any talks that discuss both shuffles in detail, how they are implemented
and the performance gains ?
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