FYI I've tweaked this program a bit :
import psycopg2
from time import time
conn = psycopg2.connect(database='peufeu')
cursor = conn.cursor()
cursor.execute("CREATE TEMPORARY TABLE test (data int not null)")
conn.commit()
cursor.execute("PREPARE ins AS INSERT INTO test VALUES ($1)")
cursor.execute("PREPARE sel AS SELECT 1")
conn.commit()
start = time()
tx = 0
N = 100
d = 0
while d < 10:
for n in xrange( N ):
cursor.execute("EXECUTE ins(%s)", (tx,));
#~ conn.commit()
#~ cursor.execute("EXECUTE sel" );
conn.commit()
d = time() - start
tx += N
print "result : %d tps" % (tx / d)
cursor.execute("DROP TABLE test");
conn.commit();
Results (Core 2 quad, ubuntu 10.04 64 bits) :
SELECT 1 : 21000 queries/s (I'd say 50 us per query isn't bad !)
INSERT with commit every 100 inserts : 17800 insets/s
INSERT with commit every INSERT : 7650 tps
fsync is on but not synchronous_commit.
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