Using query tracing, as many have recommended here, will tell you where the
query is spending it's time.  If there's a bottleneck somewhere, you'll see
it there.



On Tue, Sep 2, 2014 at 6:57 AM, eduardo.cusa <
eduardo.c...@usmediaconsulting.com> wrote:

> Hi Thanks for the response.
>
> For that use case, the counter works fine. I'll change it.
>
>
> But for some others use cases what I need to do is to obtain the "full
> list" of users :
>
> cqlsh:usmc> select userid from userpixel where trackid = 'ab1' and advid
> = 'adb1' and country = 'AR' and region = 'C' limit 5000000;
>
> And this query is taking more than, *21 seconds aprox.*
>
> Could you please confirm if this response time is normal (or usual)?
> Because in that case, I´m assuming that we will need to put some kind of
> "memmory cache level" like Redis or CouchDB.
>
> Could you please confirm if I'm ok?
>
>
>
>
> On Tue, Sep 2, 2014 at 2:47 AM, Stephen Portanova [via [hidden email]
> <http://user/SendEmail.jtp?type=node&node=7596580&i=0>] <[hidden email]
> <http://user/SendEmail.jtp?type=node&node=7596580&i=1>> wrote:
>
>> Count(*) queries are very inefficient - you'll want to take Michael's
>> advice and use counter tables
>>
>>
>> On Mon, Sep 1, 2014 at 9:26 PM, Johnny Miller <[hidden email]
>> <http://user/SendEmail.jtp?type=node&node=7596577&i=0>> wrote:
>>
>>> Try turning on query tracing to see what's taking lots of time.
>>>
>>> On 1 Sep 2014, at 23:54, "Laing, Michael" <[hidden email]
>>> <http://user/SendEmail.jtp?type=node&node=7596577&i=1>> wrote:
>>>
>>> Is there a reason why updating a counter for this information will not
>>> work for you?
>>>
>>> On Monday, September 1, 2014, eduardo.cusa <[hidden email]
>>> <http://user/SendEmail.jtp?type=node&node=7596577&i=2>> wrote:
>>>
>>>> yes, is the same table, my mistake.
>>>>
>>>>
>>>> On Mon, Sep 1, 2014 at 6:35 PM, Laing, Michael [via [hidden email]
>>>> <http://user/SendEmail.jtp?type=node&node=7596570&i=0>] <[hidden email]
>>>> <http://user/SendEmail.jtp?type=node&node=7596570&i=1>> wrote:
>>>>
>>>>> Is table track_user equivalent to table userpixel?
>>>>>
>>>>> On Monday, September 1, 2014, Eduardo Cusa <[hidden email]
>>>>> <http://user/SendEmail.jtp?type=node&node=7596569&i=0>> wrote:
>>>>>
>>>>>> Hi All. I Have a Cluster in Amazon with the following settings:
>>>>>>
>>>>>> * 2 Nodes M3.Large
>>>>>> * Cassandra 2.0.7
>>>>>> * Default instaltion on ubuntu
>>>>>>
>>>>>> And I have one table with 5.000.000 rows:
>>>>>>
>>>>>>
>>>>>> CREATE TABLE track_user ( userid text, trackid text,date text ,advid
>>>>>> text, country text, region text,
>>>>>>                         PRIMARY KEY( (trackid,advid , country,
>>>>>> region),userid ));
>>>>>>
>>>>>>
>>>>>> When run  the following query take *20 **seconds * to finish :
>>>>>>
>>>>>> cqlsh:usmc> select count(*) from userpixel where trackid = 'ab1' and
>>>>>> advid = 'adb1' and country = 'AR' and region = 'C' limit 5000000;
>>>>>>
>>>>>>
>>>>>> Is this time normal?
>>>>>>
>>>>>> There are any way to improve the response?
>>>>>>
>>>>>>
>>>>>> Thanks
>>>>>> Eduardo
>>>>>>
>>>>>
>>>>>
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>>
>> --
>> Stephen Portanova
>> (480) 495-2634
>>
>>
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