Examples with ProduceRequestData org.apache.kafka.common.message.ProduceRequestData used on opensource projects

Example 16 with ProduceRequestData

use of org.apache.kafka.common.message.ProduceRequestData in project kafka by apache.

the class SenderTest method testQuotaMetrics.

/*
     * Send multiple requests. Verify that the client side quota metrics have the right values
     */
@SuppressWarnings("deprecation")
@Test
public void testQuotaMetrics() {
    MockSelector selector = new MockSelector(time);
    Sensor throttleTimeSensor = Sender.throttleTimeSensor(this.senderMetricsRegistry);
    Cluster cluster = TestUtils.singletonCluster("test", 1);
    Node node = cluster.nodes().get(0);
    NetworkClient client = new NetworkClient(selector, metadata, "mock", Integer.MAX_VALUE, 1000, 1000, 64 * 1024, 64 * 1024, 1000, 10 * 1000, 127 * 1000, time, true, new ApiVersions(), throttleTimeSensor, logContext);
    ApiVersionsResponse apiVersionsResponse = ApiVersionsResponse.defaultApiVersionsResponse(400, ApiMessageType.ListenerType.ZK_BROKER);
    ByteBuffer buffer = RequestTestUtils.serializeResponseWithHeader(apiVersionsResponse, ApiKeys.API_VERSIONS.latestVersion(), 0);
    selector.delayedReceive(new DelayedReceive(node.idString(), new NetworkReceive(node.idString(), buffer)));
    while (!client.ready(node, time.milliseconds())) {
        client.poll(1, time.milliseconds());
        // If a throttled response is received, advance the time to ensure progress.
        time.sleep(client.throttleDelayMs(node, time.milliseconds()));
    }
    selector.clear();
    for (int i = 1; i <= 3; i++) {
        int throttleTimeMs = 100 * i;
        ProduceRequest.Builder builder = ProduceRequest.forCurrentMagic(new ProduceRequestData().setTopicData(new ProduceRequestData.TopicProduceDataCollection()).setAcks((short) 1).setTimeoutMs(1000));
        ClientRequest request = client.newClientRequest(node.idString(), builder, time.milliseconds(), true);
        client.send(request, time.milliseconds());
        client.poll(1, time.milliseconds());
        ProduceResponse response = produceResponse(tp0, i, Errors.NONE, throttleTimeMs);
        buffer = RequestTestUtils.serializeResponseWithHeader(response, ApiKeys.PRODUCE.latestVersion(), request.correlationId());
        selector.completeReceive(new NetworkReceive(node.idString(), buffer));
        client.poll(1, time.milliseconds());
        // If a throttled response is received, advance the time to ensure progress.
        time.sleep(client.throttleDelayMs(node, time.milliseconds()));
        selector.clear();
    }
    Map<MetricName, KafkaMetric> allMetrics = metrics.metrics();
    KafkaMetric avgMetric = allMetrics.get(this.senderMetricsRegistry.produceThrottleTimeAvg);
    KafkaMetric maxMetric = allMetrics.get(this.senderMetricsRegistry.produceThrottleTimeMax);
    // Throttle times are ApiVersions=400, Produce=(100, 200, 300)
    assertEquals(250, (Double) avgMetric.metricValue(), EPS);
    assertEquals(400, (Double) maxMetric.metricValue(), EPS);
    client.close();
}