On Fri, May 18, 2018 at 08:32:55PM +0000, Kotapati, Anil wrote:
> We are facing issues with one of our query, when we use order by count it is taking lot of time to execute the query.
Tobe precise it is taking 9 min to execute the query from table which has ~220 million records. Is there a way to make
thisquery run faster and efficiently using order by count. Below is the query which I’m trying to run
>
> Select account_number, sum(count_of_event) as "error_count"
> FROM event_daily_summary
> group by account_number,event_date,process_name
> having event_date >= '2018-05-07'
> and process_name='exp90d_xreerror'
> order by sum(count_of_event) desc
> limit 5000
Would you provide the information listed here ? Table definition, query plan, etc
https://wiki.postgresql.org/wiki/Slow_Query_Questions
Also, why "HAVING" ? Shouldn't you use WHERE ?
Does the real query have conditions on event_date and process name or is that
just for testing purposes?
Justin