Ejemplo n.º 1
0
def test_check(aggregator, mocked_request):
    """
    Test that we get all the metrics we're supposed to get
    """

    # Instantiate the check
    mapreduce = MapReduceCheck("mapreduce", INIT_CONFIG, {})

    # Run the check once
    mapreduce.check(MR_CONFIG["instances"][0])

    # Check the MapReduce job metrics
    for metric, value in iteritems(MAPREDUCE_JOB_METRIC_VALUES):
        aggregator.assert_metric(metric, value=value, tags=MAPREDUCE_JOB_METRIC_TAGS + CUSTOM_TAGS, count=1)

    # Check the map task metrics
    for metric, value in iteritems(MAPREDUCE_MAP_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric, value=value, tags=MAPREDUCE_MAP_TASK_METRIC_TAGS + CUSTOM_TAGS, count=1)

    # Check the reduce task metrics
    for metric, value in iteritems(MAPREDUCE_REDUCE_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric, value=value, tags=MAPREDUCE_REDUCE_TASK_METRIC_TAGS + CUSTOM_TAGS, count=1)

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(MAPREDUCE_JOB_COUNTER_METRIC_VALUES_READ):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + MAPREDUCE_JOB_COUNTER_METRIC_TAGS + CUSTOM_TAGS,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(MAPREDUCE_JOB_COUNTER_METRIC_VALUES_WRITTEN):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + MAPREDUCE_JOB_COUNTER_METRIC_TAGS + CUSTOM_TAGS,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(MAPREDUCE_JOB_COUNTER_METRIC_VALUES_RECORDS):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + MAPREDUCE_JOB_COUNTER_METRIC_TAGS + CUSTOM_TAGS,
            count=1,
        )

    # Check the service tests
    service_check_tags = ["url:{}".format(RM_URI)] + CUSTOM_TAGS
    aggregator.assert_service_check(
        MapReduceCheck.YARN_SERVICE_CHECK, status=MapReduceCheck.OK, tags=service_check_tags, count=1
    )
    aggregator.assert_service_check(
        MapReduceCheck.MAPREDUCE_SERVICE_CHECK, status=MapReduceCheck.OK, tags=service_check_tags, count=1
    )

    aggregator.assert_all_metrics_covered()
Ejemplo n.º 2
0
def test_auth(aggregator, mocked_auth_request):
    """
    Test that we get all the metrics we're supposed to get
    """

    # Instantiate the check
    mapreduce = MapReduceCheck("mapreduce", INIT_CONFIG, {})

    # Run the check once
    mapreduce.check(MR_AUTH_CONFIG["instances"][0])

    # Check the service tests
    service_check_tags = ["url:{}".format(RM_URI)] + CUSTOM_TAGS
    aggregator.assert_service_check(
        MapReduceCheck.YARN_SERVICE_CHECK, status=MapReduceCheck.OK, tags=service_check_tags, count=1
    )
    aggregator.assert_service_check(
        MapReduceCheck.MAPREDUCE_SERVICE_CHECK, status=MapReduceCheck.OK, tags=service_check_tags, count=1
    )
Ejemplo n.º 3
0
def test_check(aggregator, dd_run_check, mocked_request):
    """
    Test that we get all the metrics we're supposed to get
    """
    instance = MR_CONFIG['instances'][0]

    # Instantiate the check
    mapreduce = MapReduceCheck('mapreduce', INIT_CONFIG, [instance])

    # Run the check once
    dd_run_check(mapreduce)

    # expected tags contains both mapreduce_cluster and cluster_name tags
    expected_tags = COMMON_TAGS + CLUSTER_TAGS

    # Check the MapReduce job metrics
    for metric, value in iteritems(MAPREDUCE_JOB_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=expected_tags,
                                 count=1)

    # Check the map task metrics
    for metric, value in iteritems(MAPREDUCE_MAP_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=MAPREDUCE_MAP_TASK_METRIC_TAGS +
                                 expected_tags,
                                 count=1)

    # Check the reduce task metrics
    for metric, value in iteritems(MAPREDUCE_REDUCE_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=MAPREDUCE_REDUCE_TASK_METRIC_TAGS +
                                 expected_tags,
                                 count=1)

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_READ):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_WRITTEN):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_RECORDS):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )

    # Check the service tests
    service_check_tags = ["url:{}".format(RM_URI)] + CUSTOM_TAGS
    aggregator.assert_service_check(MapReduceCheck.YARN_SERVICE_CHECK,
                                    status=MapReduceCheck.OK,
                                    tags=service_check_tags,
                                    count=1)
    aggregator.assert_service_check(MapReduceCheck.MAPREDUCE_SERVICE_CHECK,
                                    status=MapReduceCheck.OK,
                                    tags=service_check_tags,
                                    count=1)

    aggregator.assert_all_metrics_covered()
Ejemplo n.º 4
0
def test_disable_legacy_cluster_tag(aggregator, dd_run_check, mocked_request):
    """
    Test that we get all the metrics we're supposed to get
    """
    instance = MR_CONFIG['instances'][0]
    instance['disable_legacy_cluster_tag'] = True

    # Instantiate the check
    mapreduce = MapReduceCheck('mapreduce', INIT_CONFIG, [instance])

    # Run the check once
    dd_run_check(mapreduce)

    # Only mapreduce_cluster tag
    expected_tags = COMMON_TAGS
    expected_tags.append(MAPREDUCE_CLUSTER_TAG)

    # Check the MapReduce job metrics
    for metric, value in iteritems(MAPREDUCE_JOB_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=expected_tags,
                                 count=1)

    # Check the map task metrics
    for metric, value in iteritems(MAPREDUCE_MAP_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=MAPREDUCE_MAP_TASK_METRIC_TAGS +
                                 expected_tags,
                                 count=1)

    # Check the reduce task metrics
    for metric, value in iteritems(MAPREDUCE_REDUCE_TASK_METRIC_VALUES):
        aggregator.assert_metric(metric,
                                 value=value,
                                 tags=MAPREDUCE_REDUCE_TASK_METRIC_TAGS +
                                 expected_tags,
                                 count=1)

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_READ):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_WRITTEN):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )

    # Check the MapReduce job counter metrics
    for metric, attributes in iteritems(
            MAPREDUCE_JOB_COUNTER_METRIC_VALUES_RECORDS):
        aggregator.assert_metric(
            metric,
            value=attributes["value"],
            tags=attributes["tags"] + expected_tags,
            count=1,
        )
Ejemplo n.º 5
0
def check():
    return lambda instance: MapReduceCheck('mapreduce', {}, [instance])
Ejemplo n.º 6
0
def check():
    return MapReduceCheck('mapreduce', {}, {})