Hi Postgres Team, The below are the scenarios which we are dealing with.
1) There are 20 Tables - On an average each having 150 columns. 2) There are 20 Threads Handled by Thread Pool Executor ( here we are using Python's - psycopg2 module / library to fetch the data .) 3) I am using the below statement to insert the data using Python - psycopg2 module - using the exceute(...) command as . sql_stmt = "INSERT INTO " + name_Table + final_col_string + "VALUES" + str(tuple(array_of_curly_values)) print('Sql statement', sql_stmt)col_cursor_db = db_conn.cursor() v = col_cursor_db.execute(sql_stmt); But earlier the same 22 threads were running and the insertion time was gradually increased from 1 second to 30-35 seconds. Requesting and urging the postgres general support team to help me out on this. How can i increase the INSERTION speed to minimize the insertion time taken by each thread in the THREAD POOL. Or there any different python libraries other than psycopg2 ? Is there any different functions in python psycopg2 ? Or what performance tuning has to be done to increaser the insertion speed ?