Hi,
I have two machines - one with 8GB RAM & 4core CPU and the other with 64GB
Ram & 24 core CPU. Both machines have the same DB (Postgres 12 + Postgis
2.5.3). Same query is taking less time in low end machine whereas more
time in high end machine. Any thoughts on where to look? I have tuned the
db in both machines according to https://pgtune.leopard.in.ua/#/, the
function will refer around 14 tables, since both the tables are have same
index and views. <https://pgtune.leopard.in.ua/#/>
Please find the attachment for query explain & analyze and bonnie result
of both the machines.
Low End Machine
-bash-4.2$ psql -p 5434
psql (12.3)
Type "help" for help.
postgres=# \c IPDS_KSEB;
You are now connected to database "IPDS_KSEB" as user "postgres".
IPDS_KSEB=# explain analyze select * from
kseb_geometry_trace_with_barrier_partition(5,'kottarakara_version',437,'htline',2)
;
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------
Function Scan on kseb_geometry_trace_with_barrier_partition
(cost=0.25..10.25 rows=1000 width=169) (actual time=11626.548..11626.568
rows=254 loops=1)
Planning Time: 0.212 ms
Execution Time: *11628.590 ms*
High End Machine
-bash-4.2$ psql -p 5422
psql (12.3)
Type "help" for help.
postgres=# \c IPDS_KSEB;
You are now connected to database "IPDS_KSEB" as user "postgres".
IPDS_KSEB=# explain analyze select * from
kseb_geometry_trace_with_barrier_partition(5,'kottarakara_version',437,'htline',2)
;
QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------
Function Scan on kseb_geometry_trace_with_barrier_partition
(cost=0.25..10.25 rows=1000 width=169) (actual time=22304.425..22304.448
rows=254 loops=1)
Planning Time: 0.219 ms
Execution Time: *22352.219 ms*
(3 rows)
