On 04/26/2018 11:08 AM, Vitaliy Garnashevich wrote:
Without the query we are flying blind, so suggestions will have a ?
Here is one such query:
INSERT INTO cmdb_sp_usage_history
(created_by, updated_by, created_on, updated_on, mod_count,
summary_on, quarter, product, used_from, "user",
keystrokes, minutes_in_use, times_started, avg_keystrokes,
max_keystrokes, spkg_operational)
SELECT
2, 2, CURRENT_TIMESTAMP, CURRENT_TIMESTAMP, 1,
CURRENT_TIMESTAMP, quarter.id, "spv"."product",
"usage"."used_from", "usage"."user",
coalesce(sum("usage"."keystrokes"), 0),
coalesce(sum("usage"."minutes_in_use"), 0),
coalesce(sum("usage"."times_started"), 0),
coalesce(avg("usage"."keystrokes"), 0),
coalesce(max("usage"."keystrokes"), 0),
bool_or("cmdb_ci"."operational")
FROM
"cmdb_program_daily_usage" "usage"
LEFT OUTER JOIN
"cmdb_program_instance" "p" ON "p"."id" = "usage"."program_instance"
LEFT OUTER JOIN
"cmdb_ci_spkg" "s" ON "s"."id" = "p"."spkg"
LEFT OUTER JOIN
"cmdb_ci" "cmdb_ci" ON "s"."id" = "cmdb_ci"."id"
LEFT OUTER JOIN
"cmdb_software_product_version" "spv" ON "spv"."id" = "s"."software"
WHERE ("usage"."minutes_in_use" > 0)
AND ((NOT ("s"."software" IS NULL))
AND ((NOT ("s"."os" = TRUE))
OR ("s"."os" IS NULL)))
AND ("usage"."usage_date" >= quarter.start_date)
AND ("usage"."usage_date" < quarter.end_date)
GROUP BY "spv"."product", "usage"."used_from", "usage"."user"
HAVING (coalesce(sum("usage"."keystrokes"), 0) > 0) OR
(coalesce(sum("usage"."minutes_in_use"), 0) > 0) OR
(coalesce(sum("usage"."times_started"), 0) > 0)
ORDER BY "spv"."product", "usage"."used_from", "usage"."user";
Have not worked through all of the above, but a first draft suggestion:
Move the SELECT minus the aggregation functions into a sub-query that
uses FOR UPDATE. Then do the aggregation on the results of the sub-query.
Regards,
Vitaliy
--
Adrian Klaver
adrian.klaver@xxxxxxxxxxx
