Even for 2L records the MySQL will be better.
Regards,
Sandeep Giri,
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MySQL and PgSQL scale to millions. Spark or any distributed/clustered
computing environment would be inefficient for the kind of data size you
mention. That's because of coordination of processes, moving data around
etc.
On Mon, Jul 13, 2015 at 5:34 PM, Sandeep Giri sand...@knowbigdata.com
wrote:
I would probably also look at what kind of analytical use case is to
servefor example unification of Streaming, Batch and machine learning
workloads can be easily achieved in Spark. This is one of the USP of Spark.
But if SQL is the only use case, and data volume 1 milion or 100 GB, I
think
For records below 50,000 SQL is better right?
On Fri, Jul 10, 2015 at 12:18 AM, ayan guha guha.a...@gmail.com wrote:
With your load, either should be fine.
I would suggest you to run couple of quick prototype.
Best
Ayan
On Fri, Jul 10, 2015 at 2:06 PM, vinod kumar
Ayan,
I would want to process a data which nearly around 5 records to 2L
records(in flat).
Is there is any scaling is there to decide what technology is best?either
SQL or SPARK?
On Thu, Jul 9, 2015 at 9:40 AM, ayan guha guha.a...@gmail.com wrote:
It depends on workload. How much data
With your load, either should be fine.
I would suggest you to run couple of quick prototype.
Best
Ayan
On Fri, Jul 10, 2015 at 2:06 PM, vinod kumar vinodsachin...@gmail.com
wrote:
Ayan,
I would want to process a data which nearly around 5 records to 2L
records(in flat).
Is there is
Hi Everyone,
I am new to spark.
Am using SQL in my application to handle data in my application.I have a
thought to move to spark now.
Is data processing speed of spark better than SQL server?
Thank,
Vinod
It depends on workload. How much data you would want to process?
On 9 Jul 2015 22:28, vinod kumar vinodsachin...@gmail.com wrote:
Hi Everyone,
I am new to spark.
Am using SQL in my application to handle data in my application.I have a
thought to move to spark now.
Is data processing speed
