# threads.py -- example of multiple threads using psycopg # -*- encoding: latin1 -*- # # Copyright (C) 2001-2004 Federico Di Gregorio # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by the # Free Software Foundation; either version 2, or (at your option) any later # version. # # This program is distributed in the hope that it will be useful, but # WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTIBILITY # or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License # for more details. ## put in DSN your DSN string DSN = 'dbname=test' ## some others parameters INSERT_THREADS = ('A', 'B', 'C') SELECT_THREADS = ('1', '2') ROWS = 1000 COMMIT_STEP = 20 SELECT_SIZE = 10000 SELECT_STEP = 500 SELECT_DIV = 250 # the available modes are: # 0 - one connection for all insert and one for all select threads # 1 - connections generated using the connection pool MODE = 1 ## don't modify anything below tis line (except for experimenting) import sys, psycopg, threading from psycopg.pool import ThreadedConnectionPool if len(sys.argv) > 1: DSN = sys.argv[1] if len(sys.argv) > 2: MODE = int(sys.argv[2]) print "Opening connection using dns:", DSN conn = psycopg.connect(DSN) curs = conn.cursor() try: curs.execute("""CREATE TABLE test_threads ( name text, value1 int4, value2 float)""") except: conn.rollback() curs.execute("DROP TABLE test_threads") curs.execute("""CREATE TABLE test_threads ( name text, value1 int4, value2 float)""") conn.commit() ## this function inserts a big number of rows and creates and destroys ## a large number of cursors def insert_func(conn_or_pool, rows): name = threading.currentThread().getName() if MODE == 0: conn = conn_or_pool else: conn = conn_or_pool.getconn() for i in range(rows): if divmod(i, COMMIT_STEP)[1] == 0: conn.commit() if MODE == 1: conn_or_pool.putconn(conn) s = name + ": COMMIT STEP " + str(i) print s if MODE == 1: conn = conn_or_pool.getconn() c = conn.cursor() try: c.execute("INSERT INTO test_threads VALUES (%s, %d, %f)", (str(i), i, float(i))) except psycopg.ProgrammingError, err: print name, ": an error occurred; skipping this insert" print err conn.commit() ## a nice select function that prints the current number of rows in the ## database (and transefer them, putting some pressure on the network) def select_func(conn_or_pool, z): name = threading.currentThread().getName() if MODE == 0: conn = conn_or_pool conn.set_isolation_level(0) for i in range(SELECT_SIZE): if divmod(i, SELECT_STEP)[1] == 0: try: if MODE == 1: conn = conn_or_pool.getconn() conn.set_isolation_level(0) c = conn.cursor() c.execute("SELECT * FROM test_threads WHERE value2 < %s", (int(i/z),)) l = c.fetchall() if MODE == 1: conn_or_pool.putconn(conn) s = name + ": number of rows fetched: " + str(len(l)) print s except psycopg.ProgrammingError, err: print name, ": an error occurred; skipping this select" print err ## create the connection pool or the connections if MODE == 0: conn_insert = psycopg.connect(DSN) conn_select = psycopg.connect(DSN) else: m = len(INSERT_THREADS) + len(SELECT_THREADS) n = m/2 conn_insert = conn_select = ThreadedConnectionPool(n, m, DSN) ## create the threads threads = [] print "Creating INSERT threads:" for name in INSERT_THREADS: t = threading.Thread(None, insert_func, 'Thread-'+name, (conn_insert, ROWS)) t.setDaemon(0) threads.append(t) print "Creating SELECT threads:" for name in SELECT_THREADS: t = threading.Thread(None, select_func, 'Thread-'+name, (conn_select, SELECT_DIV)) t.setDaemon(0) threads.append(t) ## really start the threads now for t in threads: t.start() # and wait for them to finish for t in threads: t.join() print t.getName(), "exited OK" conn.commit() curs.execute("SELECT count(name) FROM test_threads") print "Inserted", curs.fetchone()[0], "rows." curs.execute("DROP TABLE test_threads") conn.commit()