Datastax Python priver with multiprocessing.Pool

#!/usr/bin/env python

import logging

log = logging.getLogger()
log.setLevel('INFO')
handler = logging.StreamHandler()
handler.setFormatter(logging.Formatter("%(asctime)s [%(levelname)s] %(name)s: %(message)s"))
log.addHandler(handler)

from multiprocessing import Pool
from cassandra.cluster import Cluster
from cassandra.io.libevreactor import LibevConnection

KEYSPACE = "testkeyspace"


def do_stuff(procnum):
    print 'a'
    log.info("Starting process %d", procnum)
    cluster = Cluster(['127.0.0.1'])
    cluster.connection_class = LibevConnection
    print 'b'
    session = cluster.connect()
    print 'c'

    for i in range(10):
        rows = session.execute("SELECT * FROM testkeyspace.mytable")
        log.info("Process %d fetched %d rows", procnum, len(rows))

    cluster.shutdown()


def main():
    cluster = Cluster(['127.0.0.1'])
    cluster.connection_class = LibevConnection
    session = cluster.connect()

    rows = session.execute("SELECT keyspace_name FROM system.schema_keyspaces")
    if KEYSPACE in [row[0] for row in rows]:
        log.info("dropping existing keyspace...")
        session.execute("DROP KEYSPACE " + KEYSPACE)

    log.info("creating keyspace...")
    session.execute("""
        CREATE KEYSPACE %s
        WITH replication = { 'class': 'SimpleStrategy', 'replication_factor': '2' }
        """ % KEYSPACE)

    log.info("setting keyspace...")
    session.set_keyspace(KEYSPACE)

    log.info("creating table...")
    session.execute("""
        CREATE TABLE mytable (
            thekey text,
            col1 text,
            col2 text,
            PRIMARY KEY (thekey, col1)
        )
        """)

    prepared = session.prepare("""
        INSERT INTO mytable (thekey, col1, col2)
        VALUES (?, ?, ?)
        """)

    for i in range(10000):
        if i % 1000 == 0:
            log.info("Insering row %d", i)
        session.execute(prepared.bind(("key%d" % i, 'b', 'b')))

    cluster.shutdown()

    pool = Pool(processes=2)
    for i in range(4):
        print i
        pool.apply_async(do_stuff, args=(i,)).get()

    pool.close()
    pool.join()


if __name__ == "__main__":
    main()