examples/multi_threaded_inserts.py
def run_benchmark():
    """ Run a set of InsertWorkers and record their performance. """

    stopping = threading.Event()
    workers = [ InsertWorker(stopping) for _ in range(NUM_WORKERS) ]

    print('Launching %d workers' % NUM_WORKERS)

    [ worker.start() for worker in workers ]
    time.sleep(WORKLOAD_TIME)

    print('Stopping workload')

    stopping.set()
    [ worker.join() for worker in workers ]

    with get_connection() as conn:
        count = conn.get("SELECT COUNT(*) AS count FROM %s" % TABLE).count

    print("%d rows inserted using %d workers" % (count, NUM_WORKERS))
    print("%.1f rows per second" % (count / float(WORKLOAD_TIME)))
def run_benchmark():
    """ Run a set of InsertWorkers and record their performance. """

    stopping = threading.Event()
    workers = [ InsertWorker(stopping) for _ in range(NUM_WORKERS) ]

    print('Launching %d workers' % NUM_WORKERS)

    [ worker.start() for worker in workers ]
    time.sleep(WORKLOAD_TIME)

    print('Stopping workload')

    stopping.set()
    [ worker.join() for worker in workers ]

    with get_connection() as conn:
        count = conn.get("SELECT COUNT(*) AS count FROM %s" % TABLE).count

    print("%d rows inserted using %d workers" % (count, NUM_WORKERS))
    print("%.1f rows per second" % (count / float(WORKLOAD_TIME)))
def run_benchmark ( ) : stopping = threading . Event ( ) workers = [ InsertWorker ( stopping ) for _ in range ( NUM_WORKERS ) ] print ( 'Launching %d workers' % NUM_WORKERS ) [ worker . start ( ) for worker in workers ] time . sleep ( WORKLOAD_TIME ) print ( 'Stopping workload' ) stopping . set ( ) [ worker . join ( ) for worker in workers ] with get_connection ( ) as conn : count = conn . get ( "SELECT COUNT(*) AS count FROM %s" % TABLE ) . count print ( "%d rows inserted using %d workers" % ( count , NUM_WORKERS ) ) print ( "%.1f rows per second" % ( count / float ( WORKLOAD_TIME ) ) )
Run a set of InsertWorkers and record their performance.
Run a set of InsertWorkers and record their performance .