Hi,
Were you able to resolve the issue? If yes, it would be nice to share it
with the community.
D.
On Thu, Dec 21, 2017 at 12:49 AM, dkarachentsev
wrote:
> Hi Indranil,
>
> These measurements are not fully correct, for example select count(*) might
> use only
Hi Indranil,
These measurements are not fully correct, for example select count(*) might
use only index and in select * was not actually invoked, because you need to
run over cursor.
Also by default query is not parallelized on one node, and scan with
grouping is going sequentially in one
Hi,
There are 86486 records.
Time taken for select count(*) from A => 35 ms Time taken for select mainId,
count(*) from A group by mainId => 70 ms
Time taken for select * from A => 0 ms
I am doing a POC with apache ignite and I am very keen to use it in production
for live streaming and
Hi,
How many records your query returns without LIMIT? How long does it take to
select all records without grouping?
Thanks!
-Dmitry
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Hi Dmitry,
I have only 1 node at this moment. The way I am measuring is using stop
watch kind of stuff before and after execution of the sql query.
This is the only query and I kept it running in a while loop with some sleep so
that JIT compiler has done all its optimisation.
Please fine
Hi,
How many nodes do you have and how do you measure that 70 ms? Is it first
query or average time? Please show your EXPLAIN of the query.
Thanks!
-Dmitry
--
Sent from: http://apache-ignite-users.70518.x6.nabble.com/
Hi,
I am trying to execute a group by query on 86k items in a cache which is
taking 70 ms which imo is quite slow
Can anyone please let me know what is that I may be doing wrong?
Model code:
@Data
@ToString
@QueryGroupIndex.List(@QueryGroupIndex(name = "idx1"))
public class A implements