use of org.apache.kafka.clients.ApiVersions in project apache-kafka-on-k8s by banzaicloud.
the class SenderTest method testQuotaMetrics.
/*
* Send multiple requests. Verify that the client side quota metrics have the right values
*/
@Test
@SuppressWarnings("deprecation")
public void testQuotaMetrics() throws Exception {
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, time, true, new ApiVersions(), throttleTimeSensor, logContext);
short apiVersionsResponseVersion = ApiKeys.API_VERSIONS.latestVersion();
ByteBuffer buffer = ApiVersionsResponse.createApiVersionsResponse(400, RecordBatch.CURRENT_MAGIC_VALUE).serialize(apiVersionsResponseVersion, new ResponseHeader(0));
selector.delayedReceive(new DelayedReceive(node.idString(), new NetworkReceive(node.idString(), buffer)));
while (!client.ready(node, time.milliseconds())) client.poll(1, time.milliseconds());
selector.clear();
for (int i = 1; i <= 3; i++) {
int throttleTimeMs = 100 * i;
ProduceRequest.Builder builder = ProduceRequest.Builder.forCurrentMagic((short) 1, 1000, Collections.<TopicPartition, MemoryRecords>emptyMap());
ClientRequest request = client.newClientRequest(node.idString(), builder, time.milliseconds(), true, null);
client.send(request, time.milliseconds());
client.poll(1, time.milliseconds());
ProduceResponse response = produceResponse(tp0, i, Errors.NONE, throttleTimeMs);
buffer = response.serialize(ApiKeys.PRODUCE.latestVersion(), new ResponseHeader(request.correlationId()));
selector.completeReceive(new NetworkReceive(node.idString(), buffer));
client.poll(1, 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, avgMetric.value(), EPS);
assertEquals(400, maxMetric.value(), EPS);
client.close();
}
use of org.apache.kafka.clients.ApiVersions in project apache-kafka-on-k8s by banzaicloud.
the class FetcherTest method testQuotaMetrics.
/*
* Send multiple requests. Verify that the client side quota metrics have the right values
*/
@Test
public void testQuotaMetrics() throws Exception {
MockSelector selector = new MockSelector(time);
Sensor throttleTimeSensor = Fetcher.throttleTimeSensor(metrics, metricsRegistry);
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, time, true, new ApiVersions(), throttleTimeSensor, new LogContext());
short apiVersionsResponseVersion = ApiKeys.API_VERSIONS.latestVersion();
ByteBuffer buffer = ApiVersionsResponse.createApiVersionsResponse(400, RecordBatch.CURRENT_MAGIC_VALUE).serialize(apiVersionsResponseVersion, new ResponseHeader(0));
selector.delayedReceive(new DelayedReceive(node.idString(), new NetworkReceive(node.idString(), buffer)));
while (!client.ready(node, time.milliseconds())) client.poll(1, time.milliseconds());
selector.clear();
for (int i = 1; i <= 3; i++) {
int throttleTimeMs = 100 * i;
FetchRequest.Builder builder = FetchRequest.Builder.forConsumer(100, 100, new LinkedHashMap<TopicPartition, PartitionData>());
ClientRequest request = client.newClientRequest(node.idString(), builder, time.milliseconds(), true, null);
client.send(request, time.milliseconds());
client.poll(1, time.milliseconds());
FetchResponse response = fullFetchResponse(tp0, nextRecords, Errors.NONE, i, throttleTimeMs);
buffer = response.serialize(ApiKeys.FETCH.latestVersion(), new ResponseHeader(request.correlationId()));
selector.completeReceive(new NetworkReceive(node.idString(), buffer));
client.poll(1, time.milliseconds());
selector.clear();
}
Map<MetricName, KafkaMetric> allMetrics = metrics.metrics();
KafkaMetric avgMetric = allMetrics.get(metrics.metricInstance(metricsRegistry.fetchThrottleTimeAvg));
KafkaMetric maxMetric = allMetrics.get(metrics.metricInstance(metricsRegistry.fetchThrottleTimeMax));
// Throttle times are ApiVersions=400, Fetch=(100, 200, 300)
assertEquals(250, avgMetric.value(), EPSILON);
assertEquals(400, maxMetric.value(), EPSILON);
client.close();
}
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