def test_kafka_connect_config(self):

        self._check_folder_exist(KAFKA_CONNECT_DIR)

        # check config has been generated
        connect.setup_configs(self.complete_producer_conf)

        assert os.path.isfile(KAFKA_CONNECT_CFG_PATH)

        actual_config = {}
        with open(KAFKA_CONNECT_CFG_PATH, "r") as f:
            for line in f.readlines():
                tmp_line = line.strip().split("=")
                actual_config[tmp_line[0]] = tmp_line[1]

            assert actual_config["bootstrap.servers"] == os.environ.get(
                "MX_MyFirstModule.Kafka_broker_url")

        # verify postgres whitelists
        debezium_config = json.loads(
            debezium_generator.generate_config(self.complete_producer_conf))
        assert (debezium_config["config"]["table.whitelist"] ==
                ".*MyFirstModule.company.*,.*MyFirstModule.project.*")
        assert (
            debezium_config["config"]["column.whitelist"] ==
            ".*MyFirstModule.company.*,MyFirstModule.company.id,.*MyFirstModule.project.*,MyFirstModule.project.id"
        )
Пример #2
0
def run(complete_conf):
    setup_configs(complete_conf)
    java_path = os.path.join(os.getcwd(), LOCAL, "bin")
    os.environ["PATH"] += os.pathsep + java_path
    os.environ["JMX_PORT"] = KAFKA_CONNECT_JMX_PORT
    os.environ["KAFKA_LOG4J_OPTS"] = (
        "-Dlog4j.configuration=file:"
        + os.path.join(os.getcwd(), LOG4J_CFG_PATH)
    )
    kafka_connect_heap_opts = os.environ.get(
        "DATABROKER_KAFKA_CONNECT_HEAP_OPTS", "-Xms512M -Xmx2G"
    )
    os.environ["KAFKA_HEAP_OPTS"] = kafka_connect_heap_opts
    env = dict(os.environ)

    kafka_connect_process = DataBrokerProcess(
        PROCESS_NAME, (KAFKA_CONNECT_START_PATH, KAFKA_CONNECT_CFG_PATH), env,
    )

    # Wait for kafka connect to initialize and then issue a request for debezium connector
    time.sleep(INITIAL_WAIT)
    debezium_config = json.loads(
        debezium_generator.generate_config(complete_conf)
    )

    def backoff_hdlr(details):
        logging.warn(
            "Databroker: Failed to receive successful response from connect. Retrying...({}/{})".format(
                details["tries"], MAX_RETRIES
            )
        )

    def giveup_hdlr(details):
        logging.error("Databroker: Kafka Connect wait retries exhaused")
        raise Exception("Databroker: Kafka Connect failed to start")

    @backoff.on_predicate(
        backoff.constant,
        interval=BACKOFF_TIME,
        max_tries=MAX_RETRIES,
        on_backoff=backoff_hdlr,
        on_giveup=giveup_hdlr,
    )
    @backoff.on_exception(
        backoff.constant,
        Exception,
        interval=BACKOFF_TIME,
        max_tries=MAX_RETRIES,
        on_backoff=backoff_hdlr,
        on_giveup=giveup_hdlr,
    )
    def start_debezium_connector():
        return requests.put(
            "{}/{}/{}".format(CONNECT_URL, debezium_config["name"], "config"),
            json=debezium_config["config"],
        )

    start_debezium_connector()
    return kafka_connect_process
Пример #3
0
def run(complete_conf):
    setup_configs(complete_conf)
    java_path = os.path.join(os.getcwd(), LOCAL, "bin")
    os.environ["PATH"] += os.pathsep + java_path
    os.environ["JMX_PORT"] = KAFKA_CONNECT_JMX_PORT

    env = dict(os.environ)

    kafka_connect_process = DataBrokerProcess(
        PROCESS_NAME, (KAFKA_CONNECT_START_PATH, KAFKA_CONNECT_CFG_PATH), env,
    )

    # Wait for kafka connect to initialize and then issue a request for debezium connector
    time.sleep(INITIAL_WAIT)
    debezium_config = json.loads(
        debezium_generator.generate_config(complete_conf)
    )
    retry_count = 1
    success = False
    while retry_count < MAX_RETRIES:
        try:
            response = requests.put(
                "{}/{}/{}".format(
                    CONNECT_URL, debezium_config["name"], "config"
                ),
                json=debezium_config["config"],
            )
            if response.status_code in (200, 201):
                success = True
                break
            else:
                logging.warn(
                    "Databroker: Failed to receive successful response from connect. Retrying...({}/{})".format(
                        retry_count, MAX_RETRIES
                    )
                )
                retry_count += 1
                time.sleep(BACKOFF_TIME)
        except Exception as ex:
            logging.warn(
                "Databroker: Failed to receive successful response from connect. Retrying...({}/{})".format(
                    retry_count, MAX_RETRIES
                )
            )
            logging.debug("Exception message: {}".format(str(ex)))
            retry_count += 1
            time.sleep(BACKOFF_TIME)
    if success:
        logging.debug(
            "Databroker: connect and debezium successfully initialized"
        )
    else:
        logging.error("Databroker: Kafka Connect wait retries exhaused")
        raise Exception("Databroker: Kafka Connect failed to start")

    return kafka_connect_process