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Hi team, We are getting very slow response of this query. SELECT date_trunc('day', insert_time),workflow.project.project_name, workflow.tool_performance.project_id,workflow.tool_performance.user_id,workflow.tool_performance.step_id,count(*), round(sum(execution_time)/1000) as Sum_time_sec,round(((round(sum(execution_time)/1000))/60)/count(*),2) as Efficency_Min,round
(((round(sum(execution_time)/1000)))/count(*),2) as Efficency_sec FROM workflow.project,workflow.tool_performance,workflow.evidence_to_do WHERE workflow.project .project_id = workflow.tool_performance.project_id AND insert_time >'2017-05-01' AND insert_time <'2017-05-02' AND
workflow.evidence_to_do.status_id in (15100,15150,15200,15300,15400,15500) Group BY date_trunc('day', insert_time),workflow.project.project_name, workflow.tool_performance.project_id,workflow.tool_performance.user_id,workflow.tool_performance.step_id ORDER BY workflow.tool_performance.project_id,workflow.project.project_name, workflow.tool_performance.step_id; The following indexes are created on project & evidence_to_do table. "CREATE INDEX project_id_idx ON workflow.project USING btree (project_id)" "CREATE INDEX evidence_to_do_status_id_index ON workflow.evidence_to_do USING btree (status_id)" Explain plan of the Query is: "GroupAggregate (cost=18675703613.60..20443753075.67 rows=6689718 width=69)" " -> Sort (cost=18675703613.60..18823015982.33 rows=58924947492 width=69)" " Sort Key: tool_performance.project_id, project.project_name, tool_performance.step_id, (date_trunc('day'::text, tool_performance.insert_time)), tool_performance.user_id" " -> Nested Loop (cost=2.42..884042104.67 rows=58924947492 width=69)" " -> Seq Scan on evidence_to_do (cost=0.00..118722.17 rows=554922 width=0)" " Filter: (status_id = ANY ('{15100,15150,15200,15300,15400,15500}'::bigint[]))" " -> Materialize (cost=2.42..49435.58 rows=106186 width=69)" " -> Hash Join (cost=2.42..48904.65 rows=106186 width=69)" " Hash Cond: (tool_performance.project_id = project.project_id)" " -> Seq Scan on tool_performance (cost=0.00..47442.18 rows=106186 width=39)" " Filter: ((insert_time > '2017-05-01 00:00:00+05:30'::timestamp with time zone) AND (insert_time < '2017-05-02 00:00:00+05:30'::timestamp with time zone))" " -> Hash (cost=1.63..1.63 rows=63 width=38)" " -> Seq Scan on project (cost=0.00..1.63 rows=63 width=38)" We have 64 GB of RAM & CPU(s): 40 Thread(s) per core: 2 Core(s) per socket: 10 Socket(s): 2
PostgreSQL.conf parameter: shared_buffers =16GB work_mem =32MB Would you please help how we can tune this query at database & code level. Regards Daulat |
