def run()

in 04_streaming/realtime/avg01.py [0:0]


def run(project, bucket, region):
    argv = [
        '--project={0}'.format(project),
        '--job_name=ch04avgdelay',
        '--streaming',
        '--save_main_session',
        '--staging_location=gs://{0}/flights/staging/'.format(bucket),
        '--temp_location=gs://{0}/flights/temp/'.format(bucket),
        '--setup_file=./setup.py',
        '--autoscaling_algorithm=THROUGHPUT_BASED',
        '--max_num_workers=8',
        '--region={}'.format(region),
        '--runner=DirectRunner'
    ]

    with beam.Pipeline(argv=argv) as pipeline:
        events = {}

        for event_name in ['arrived', 'departed']:
            topic_name = "projects/{}/topics/{}".format(project, event_name)

            events[event_name] = (pipeline
                                  | 'read:{}'.format(event_name) >> beam.io.ReadFromPubSub(topic=topic_name)
                                  | 'parse:{}'.format(event_name) >> beam.Map(lambda s: json.loads(s))
                                  )

        all_events = (events['arrived'], events['departed']) | beam.Flatten()

        flights_schema = ','.join([
            'FL_DATE:date,UNIQUE_CARRIER:string,ORIGIN_AIRPORT_SEQ_ID:string,ORIGIN:string',
            'DEST_AIRPORT_SEQ_ID:string,DEST:string,CRS_DEP_TIME:timestamp,DEP_TIME:timestamp',
            'DEP_DELAY:float,TAXI_OUT:float,WHEELS_OFF:timestamp,WHEELS_ON:timestamp,TAXI_IN:float',
            'CRS_ARR_TIME:timestamp,ARR_TIME:timestamp,ARR_DELAY:float,CANCELLED:boolean',
            'DIVERTED:boolean,DISTANCE:float',
            'DEP_AIRPORT_LAT:float,DEP_AIRPORT_LON:float,DEP_AIRPORT_TZOFFSET:float',
            'ARR_AIRPORT_LAT:float,ARR_AIRPORT_LON:float,ARR_AIRPORT_TZOFFSET:float'])
        events_schema = ','.join([flights_schema, 'EVENT_TYPE:string,EVENT_TIME:timestamp'])

        schema = events_schema

        (all_events
         | 'bqout' >> beam.io.WriteToBigQuery(
                    'dsongcp.streaming_events', schema=schema,
                    create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED
                )
         )