Insert Times - Mailing list pgsql-performance
From | PC Drew |
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Subject | Insert Times |
Date | |
Msg-id | A4609D8C-5042-11D8-90EC-000A95EA00C0@ibsncentral.com Whole thread Raw |
Responses |
Re: Insert Times
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List | pgsql-performance |
I'm trying to track down some performance issues where time (in milliseconds) is critical. One thing that I've noticed is that it seems like the first insert takes an inordinate amount of time. Inserts after the first one are acceptable. My production environment is like this: Solaris 9 JBoss Java 1.4.2 PostgreSQL 7.3 JDBC drivers PostgreSQL 7.3.2 database I've isolated the problem in order to more accurately recreate it by using the following table definition and insert statement: gregqa=# \d one Table "public.one" Column | Type | Modifiers --------+------------------------+----------- id | integer | msg | character varying(255) | explain analyze insert into one (id, msg) values (1, 'blah'); I'm currently using Jython (Python written in Java) and the JDBC drivers to recreate the problem with this code: from java.sql import * from java.lang import Class Class.forName("org.postgresql.Driver") db = DriverManager.getConnection("jdbc:postgresql://localhost:5432/blah", "blah", "") for i in range(5): query = "EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah');" print query st = db.createStatement() rs = st.executeQuery(query) rsmd = rs.getMetaData() cols = rsmd.getColumnCount() cols_range = range(1, cols + 1) while rs.next(): for col in cols_range: print rs.getString(col) rs.close() st.close() db.close() When I run this code (which will execute the query 5 times before finishing), here's the output I get: [bert:~/tmp] > env CLASSPATH=pg73jdbc3.jar jython dbquery.py EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.02..0.02 rows=1 loops=1) Total runtime: 0.59 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.02..0.02 rows=1 loops=1) Total runtime: 0.17 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.01 rows=1 loops=1) Total runtime: 0.12 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.01 rows=1 loops=1) Total runtime: 0.12 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.01 rows=1 loops=1) Total runtime: 0.12 msec [bert:~/tmp] > env CLASSPATH=pg73jdbc3.jar jython dbquery.py EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.02..0.02 rows=1 loops=1) Total runtime: 0.55 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.02..0.02 rows=1 loops=1) Total runtime: 0.15 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.01 rows=1 loops=1) Total runtime: 0.13 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.02 rows=1 loops=1) Total runtime: 0.13 msec EXPLAIN ANALYZE INSERT INTO one (id, msg) VALUES (1, 'blah'); Result (cost=0.00..0.01 rows=1 width=0) (actual time=0.01..0.02 rows=1 loops=1) Total runtime: 0.17 msec (I ran it twice to show that it is consistently repeatable) Now, of course this query isn't very interesting and shouldn't take very long, but it does illustrate the time difference between the first query and the last four. On my bigger insert query, it's taking 79msec for the first query and ~0.9msec for the last four. Any ideas as to why the first query would take so long? I can provide more information if necessary, but I think the example is pretty simple as is. -- PC Drew
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