Parallel hints in PostgreSQL with consistent perfromance

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От mohini mane
Тема Parallel hints in PostgreSQL with consistent perfromance
Дата
Msg-id CA+NBJd=uHuoPzv-h1gBRhHpkmHYjufzGTVhncdFp19Ru_d-tnQ@mail.gmail.com
обсуждение исходный текст
Ответы Re: Parallel hints in PostgreSQL with consistent perfromance  (Tomas Vondra <tomas.vondra@enterprisedb.com>)
Re: Parallel hints in PostgreSQL with consistent perfromance  (Jeff Janes <jeff.janes@gmail.com>)
Список pgsql-performance
Дерево обсуждения
Hello Team,
I observed that increasing the degree of parallel hint in the SELECT query did not show performance improvements.
Below are the details of sample execution with EXPLAIN ANALYZE
PostgreSQL Version: v15.5

Operating System details: RHL 7.x
Architecture:          x86_64
CPU op-mode(s):        32-bit, 64-bit
Byte Order:            Little Endian
CPU(s):                16
On-line CPU(s) list:   0-15
Thread(s) per core:    1
Core(s) per socket:    16
Socket(s):             1
NUMA node(s):          1
Vendor ID:             GenuineIntel
CPU family:            6
Model:                 79
Model name:            Intel(R) Xeon(R) CPU E5-2673 v4 @ 2.30GHz
Stepping:              1
CPU MHz:               2294.684
BogoMIPS:              4589.36
Hypervisor vendor:     Microsoft
Virtualization type:   full
L1d cache:             32K
L1i cache:             32K
L2 cache:              256K
L3 cache:              51200K
NUMA node0 CPU(s):     0-15

PostgreSQL Query: 
Sample sql executed through psql command prompt
force_parallel_mode=on; max_parallel_workers_per_gather=200;
max_parallel_workers=6

explain analyze select /*+ PARALLEL(A 6) */ ctid::varchar,  md5("col1"||'~'||"col7"||'~'||"col9"::varchar) , md5("id"||'~'||"gender"||'~'||"firstname"||'~'||"lastname"||'~'||"address"||'~'||"city"||'~'||"salary"||'~'||"pincode"||'~'||"sales"||'~'||"phone"||'~'||"amount"||'~'||"dob"||'~'||"starttime"||'~'||"timezone"||'~'||"status"||'~'||"timenow"||'~'||"timelater"||'~'||"col2"||'~'||"col3"||'~'||"col4"||'~'||"col5"||'~'||"col6"||'~'||"col8"||'~'||"col10"||'~'||"col11"||'~'||"col12"||'~'||"col13"||'~'||"col14"||'~'||"col15"||'~'||"col16"||'~'||"col17"::varchar) ,  md5('@'||"col1"||'~'||"col7"||'~'||"col9"::varchar)  from "sp_qarun"."basic2" A  order by 2,4,3;

Output:
PSQL query execution with hints 6 for 1st time => 203505.402 ms
PSQL query execution with hints 6 for 2nd time => 27920.272 ms
PSQL query execution with hints 6 for 3rd time => 27666.770 ms
Only 6 workers launched, and there is no reduction in execution time even after increasing the degree of parallel hints in select query.

Table Structure:
create table basic2(id int,gender char,firstname varchar(3000),
lastname varchar(3000),address varchar(3000),city varchar(900),salary smallint,
pincode bigint,sales numeric,phone real,amount double precision,
dob date,starttime timestamp,timezone TIMESTAMP WITH TIME ZONE,
status boolean,timenow time,timelater TIME WITH TIME ZONE,col1 int,
col2 char,col3 varchar(3000),col4 varchar(3000),col5 varchar(3000),
col6 varchar(900),col7 smallint,col8 bigint,col9 numeric,col10 real,
col11 double precision,col12 date,col13 timestamp,col14 TIMESTAMP WITH TIME ZONE,
col15 boolean,col16 time,col17 TIME WITH TIME ZONE,primary key(col1,col7,col9)); 

Table Data: 1000000 rows with each Row has a size of 20000.

Thanks,
Mohini




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