Do you have a benchmark to say running these two statements as it is will
be slower than what you suggest?
On 9 Jul 2015 01:06, "Brandon White" wrote:
> The point of running them in parallel would be faster creation of the
> tables. Has anybody been able to efficiently parallelize something like
Your tableLoad() APIs are not actions. File will be read fully only when an
action is performed.
If the action is something like table1.join(table2), then I think both
files will be read in parallel.
Can you try that and look at the execution plan or in 1.4 this is shown in
Spark UI.
Srikanth
On
The point of running them in parallel would be faster creation of the
tables. Has anybody been able to efficiently parallelize something like
this in Spark?
On Jul 8, 2015 12:29 AM, "Akhil Das" wrote:
> Whats the point of creating them in parallel? You can multi-thread it run
> it in parallel tho
Thanks you Akhil for the link
Sincerely,
Ashish Dutt
PhD Candidate
Department of Information Systems
University of Malaya, Lembah Pantai,
50603 Kuala Lumpur, Malaysia
On Wed, Jul 8, 2015 at 3:43 PM, Akhil Das
wrote:
> Have a look
> http://alvinalexander.com/scala/how-to-create-java-thread-runn
Have a look
http://alvinalexander.com/scala/how-to-create-java-thread-runnable-in-scala,
create two threads and call thread1.start(), thread2.start()
Thanks
Best Regards
On Wed, Jul 8, 2015 at 1:06 PM, Ashish Dutt wrote:
> Thanks for your reply Akhil.
> How do you multithread it?
>
> Sincerely,
Thanks for your reply Akhil.
How do you multithread it?
Sincerely,
Ashish Dutt
On Wed, Jul 8, 2015 at 3:29 PM, Akhil Das
wrote:
> Whats the point of creating them in parallel? You can multi-thread it run
> it in parallel though.
>
> Thanks
> Best Regards
>
> On Wed, Jul 8, 2015 at 5:34 AM, Bra
Whats the point of creating them in parallel? You can multi-thread it run
it in parallel though.
Thanks
Best Regards
On Wed, Jul 8, 2015 at 5:34 AM, Brandon White
wrote:
> Say I have a spark job that looks like following:
>
> def loadTable1() {
> val table1 = sqlContext.jsonFile(s"s3://textfi
