Also thanks Matei
2014-02-26 15:19 GMT+08:00 Matei Zaharia :
> Take a look at the "advanced Spark features" talk here too:
> http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/.
>
> Matei
>
> On Feb 25, 2014, at 6:22 PM, Tao Xiao wrote:
>
> Thank you Mayur, I think that will help me a lot
>
Take a look at the “advanced Spark features” talk here too:
http://ampcamp.berkeley.edu/amp-camp-one-berkeley-2012/.
Matei
On Feb 25, 2014, at 6:22 PM, Tao Xiao wrote:
> Thank you Mayur, I think that will help me a lot
>
>
> Best,
> Tao
>
>
> 2014-02-26 8:56 GMT+08:00 Mayur Rustagi :
> Ty
Thank you Mayur, I think that will help me a lot
Best,
Tao
2014-02-26 8:56 GMT+08:00 Mayur Rustagi :
> Type of Shuffling is best explained by Matei in Spark Internals .
> http://www.youtube.com/watch?v=49Hr5xZyTEA#t=2203
> Why dont you look at that & then if you have follow up questions ask he
Type of Shuffling is best explained by Matei in Spark Internals .
http://www.youtube.com/watch?v=49Hr5xZyTEA#t=2203
Why dont you look at that & then if you have follow up questions ask here,
also would be good to watch this whole talk as it talks about Spark job
flows in a lot more detail.
SCALA
i
I am a newbie to Spark and I need to know how RDD partitioning can be
controlled in the process of shuffling. I have googled for examples but
haven't found much concrete examples, in contrast with the fact that there
are many good tutorials about Hadoop's shuffling and partitioner.
Can anybody sho
