Hi,
You can use the following approaches for optimization:
You can use the following approaches for optimization:
- Instead of inserting one row at a time, perform bulk inserts, which will reduce the overhead of each individual transaction
-
Partitioning can improve write performance by splitting the data into smaller, more manageable chunks
- Tune postgres configuration like
work_mem = '16MB'
shared_buffers = '8GB'
effective_cache_size = '24GB'
On Wed, 11 Sept 2024 at 13:50, Durgamahesh Manne <maheshpostgres9@xxxxxxxxx> wrote:
Hiinsert into dictionary(lang,tid,sportid,brandid,translatedtext,objecttype,basetid) values ($1,$2,$3,$4,$5,$6,$7) on conflict do nothing*8vcpus and 32gb ramNumber of calls per sec 1600 at this time 42% of cpu utilizedMax in ms 33.62 per callAvg in ms 0.17 per callTable "dictionary.dictionary"
Column | Type | Collation | Nullable | Default | Storage | Compression | Stats target | Description
----------------+--------------------------+-----------+----------+----------+----------+-------------+--------------+-------------
lang | text | | not null | | extended | | |
tid | text | | not null | | extended | | |
basetid | text | | not null | | extended | | |
sportid | text | | | | extended | | |
brandid | text | | not null | | extended | | |
translatedtext | text | | | | extended | | |
objecttype | text | | | | extended | | |
createdat | timestamp with time zone | | not null | now() | plain | | |
modified | timestamp with time zone | | not null | now() | plain | | |
modifiedby | text | | not null | ''::text | extended | | |
version | integer | | not null | 0 | plain | | |
Indexes:
"pk_dictionary" PRIMARY KEY, btree (lang, tid)
"idx_dictionary_basetid" btree (basetid)
"idx_dictionary_brandid" btree (brandid)
"idx_dictionary_objecttype" btree (objecttype)
"idx_dictionary_sportid" btree (sportid)
Triggers:
i_dictionary_createdat BEFORE INSERT ON dictionary FOR EACH ROW EXECUTE FUNCTION update_createdat_col()
i_dictionary_modified BEFORE INSERT OR UPDATE ON dictionary FOR EACH ROW EXECUTE FUNCTION update_modified_col()
Access method: heapHow do we improve this query performance without taking more cpu?Regards,Durga Mahesh