Sounds great!
So can I expect response time in milliseconds from the join query over this 
much data ( 0.5 million in each table) ?


Thanks,
Udbhav Agarwal

From: Akhil Das [mailto:ak...@sigmoidanalytics.com]
Sent: 13 March, 2015 12:27 PM
To: Udbhav Agarwal
Cc: user@spark.apache.org
Subject: Re: spark sql performance

So you can cache upto 8GB of data in memory (hope your data size of one table 
is < 2GB), then it should be pretty fast with SparkSQL. Also i'm assuming you 
have around 12-16 cores total.

Thanks
Best Regards

On Fri, Mar 13, 2015 at 12:22 PM, Udbhav Agarwal 
<udbhav.agar...@syncoms.com<mailto:udbhav.agar...@syncoms.com>> wrote:
Lets say am using 4 machines with 3gb ram. My data is customers records with 5 
columns each in two tables with 0.5 million records. I want to perform join 
query on these two tables.


Thanks,
Udbhav Agarwal

From: Akhil Das 
[mailto:ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>]
Sent: 13 March, 2015 12:16 PM
To: Udbhav Agarwal
Cc: user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark sql performance

The size/type of your data, and your cluster configuration would be fine i 
think.

Thanks
Best Regards

On Fri, Mar 13, 2015 at 12:07 PM, Udbhav Agarwal 
<udbhav.agar...@syncoms.com<mailto:udbhav.agar...@syncoms.com>> wrote:
Thanks Akhil,
What more info should I give so we can estimate query time in my scenario?

Thanks,
Udbhav Agarwal

From: Akhil Das 
[mailto:ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>]
Sent: 13 March, 2015 12:01 PM
To: Udbhav Agarwal
Cc: user@spark.apache.org<mailto:user@spark.apache.org>
Subject: Re: spark sql performance

That totally depends on your data size and your cluster setup.

Thanks
Best Regards

On Thu, Mar 12, 2015 at 7:32 PM, Udbhav Agarwal 
<udbhav.agar...@syncoms.com<mailto:udbhav.agar...@syncoms.com>> wrote:
Hi,
What is query time for join query on hbase with spark sql. Say tables in hbase 
have 0.5 million records each. I am expecting a query time (latency) in 
milliseconds with spark sql. Can this be possible ?




Thanks,
Udbhav Agarwal




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