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diff --git a/trunk/psycopg2/examples/threads.py b/trunk/psycopg2/examples/threads.py
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+# threads.py -- example of multiple threads using psycopg
+# -*- encoding: latin1 -*-
+#
+# Copyright (C) 2001-2004 Federico Di Gregorio  <fog@debian.org>
+#
+# 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, psycopg2, threading
+from psycopg2.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 = psycopg2.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, %s, %s)",
+                      (str(i), i, float(i)))
+        except psycopg2.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 psycopg2.ProgrammingError, err:
+                print name, ": an error occurred; skipping this select"
+                print err
+
+## create the connection pool or the connections
+if MODE == 0:
+    conn_insert = psycopg2.connect(DSN)
+    conn_select = psycopg2.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()