com.playtika.shepherd.inernal.PastureWorker Maven / Gradle / Ivy
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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
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* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.playtika.shepherd.inernal;
import com.playtika.shepherd.common.PastureListener;
import org.apache.kafka.clients.ApiVersions;
import org.apache.kafka.clients.ClientUtils;
import org.apache.kafka.clients.CommonClientConfigs;
import org.apache.kafka.clients.GroupRebalanceConfig;
import org.apache.kafka.clients.Metadata;
import org.apache.kafka.clients.NetworkClient;
import org.apache.kafka.clients.consumer.internals.ConsumerNetworkClient;
import org.apache.kafka.common.KafkaException;
import org.apache.kafka.common.internals.ClusterResourceListeners;
import org.apache.kafka.common.metrics.KafkaMetricsContext;
import org.apache.kafka.common.metrics.MetricConfig;
import org.apache.kafka.common.metrics.Metrics;
import org.apache.kafka.common.metrics.MetricsContext;
import org.apache.kafka.common.metrics.MetricsReporter;
import org.apache.kafka.common.network.ChannelBuilder;
import org.apache.kafka.common.network.Selector;
import org.apache.kafka.common.utils.AppInfoParser;
import org.apache.kafka.common.utils.LogContext;
import org.apache.kafka.common.utils.Time;
import org.apache.kafka.common.utils.Utils;
import org.slf4j.Logger;
import java.net.InetSocketAddress;
import java.nio.ByteBuffer;
import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicReference;
/**
* This class manages the coordination process with brokers for the cluster group membership. It ties together
* the Coordinator, which implements the group member protocol, with all the other pieces needed to drive the connection
* to the group coordinator broker. This isolates all the networking to a single thread managed by this class, with
* higher level operations in response to group membership events being handled by the herder.
*/
public class PastureWorker {
private static final String JMX_PREFIX = "kafka.pasture";
private final Logger log;
private final String clientId;
private final ConsumerNetworkClient client;
private final Metrics metrics;
private final PastureCoordinator coordinator;
private boolean stopped = false;
public PastureWorker(DistributedConfig config,
Time time,
String clientId,
LogContext logContext,
Herd herd,
Assignor assignor,
PastureListener rebalanceListener) {
try {
this.clientId = clientId;
this.log = logContext.logger(PastureWorker.class);
Map metricsTags = new LinkedHashMap<>();
metricsTags.put("client-id", clientId);
MetricConfig metricConfig = new MetricConfig().samples(config.getInt(CommonClientConfigs.METRICS_NUM_SAMPLES_CONFIG))
.timeWindow(config.getLong(CommonClientConfigs.METRICS_SAMPLE_WINDOW_MS_CONFIG), TimeUnit.MILLISECONDS)
.tags(metricsTags);
List reporters = CommonClientConfigs.metricsReporters(clientId, config);
Map contextLabels = new HashMap<>();
contextLabels.putAll(config.originalsWithPrefix(CommonClientConfigs.METRICS_CONTEXT_PREFIX));
contextLabels.put(DistributedConfig.KAFKA_CLUSTER_ID, config.kafkaClusterId());
contextLabels.put(DistributedConfig.GROUP_ID_CONFIG, config.getString(DistributedConfig.GROUP_ID_CONFIG));
MetricsContext metricsContext = new KafkaMetricsContext(JMX_PREFIX, contextLabels);
this.metrics = new Metrics(metricConfig, reporters, time, metricsContext);
long retryBackoffMs = config.getLong(CommonClientConfigs.RETRY_BACKOFF_MS_CONFIG);
Metadata metadata = new Metadata(retryBackoffMs, config.getLong(CommonClientConfigs.METADATA_MAX_AGE_CONFIG),
logContext, new ClusterResourceListeners());
List addresses = ClientUtils.parseAndValidateAddresses(
config.getList(CommonClientConfigs.BOOTSTRAP_SERVERS_CONFIG),
config.getString(CommonClientConfigs.CLIENT_DNS_LOOKUP_CONFIG));
metadata.bootstrap(addresses);
String metricGrpPrefix = "pasture";
ChannelBuilder channelBuilder = ClientUtils.createChannelBuilder(config, time, logContext);
NetworkClient netClient = new NetworkClient(
new Selector(config.getLong(CommonClientConfigs.CONNECTIONS_MAX_IDLE_MS_CONFIG), metrics, time, metricGrpPrefix, channelBuilder, logContext),
metadata,
clientId,
100, // a fixed large enough value will suffice
config.getLong(CommonClientConfigs.RECONNECT_BACKOFF_MS_CONFIG),
config.getLong(CommonClientConfigs.RECONNECT_BACKOFF_MAX_MS_CONFIG),
config.getInt(CommonClientConfigs.SEND_BUFFER_CONFIG),
config.getInt(CommonClientConfigs.RECEIVE_BUFFER_CONFIG),
config.getInt(CommonClientConfigs.REQUEST_TIMEOUT_MS_CONFIG),
config.getLong(CommonClientConfigs.SOCKET_CONNECTION_SETUP_TIMEOUT_MS_CONFIG),
config.getLong(CommonClientConfigs.SOCKET_CONNECTION_SETUP_TIMEOUT_MAX_MS_CONFIG),
time,
true,
new ApiVersions(),
logContext);
this.client = new ConsumerNetworkClient(
logContext,
netClient,
metadata,
time,
retryBackoffMs,
config.getInt(CommonClientConfigs.REQUEST_TIMEOUT_MS_CONFIG),
Integer.MAX_VALUE);
this.coordinator = new PastureCoordinator(
new GroupRebalanceConfig(config, GroupRebalanceConfig.ProtocolType.CONNECT),
logContext,
this.client,
metrics,
metricGrpPrefix,
time,
herd,
assignor,
rebalanceListener);
AppInfoParser.registerAppInfo(JMX_PREFIX, clientId, metrics, time.milliseconds());
log.debug("Pasture Worker created");
} catch (Throwable t) {
// call close methods if internal objects are already constructed
// this is to prevent resource leak. see KAFKA-2121
stop(true);
// now propagate the exception
throw new KafkaException("Failed to construct Pasture Worker", t);
}
}
public void stop() {
if (stopped) return;
stop(false);
}
/**
* Ensure that the connection to the broker coordinator is up and that the worker is an
* active member of the group.
*/
public void ensureActive() {
coordinator.poll(0);
}
public void poll(long timeout) {
if (timeout < 0)
throw new IllegalArgumentException("Timeout must not be negative");
coordinator.poll(timeout);
}
/**
* Interrupt any running poll() calls, causing a WakeupException to be thrown in the thread invoking that method.
*/
public void wakeup() {
this.client.wakeup();
}
/**
* Get the member ID of this worker in the group of workers.
*
* This ID is the unique member ID automatically generated.
*
* @return the member ID
*/
public String memberId() {
return coordinator.memberId();
}
public String getClientId() {
return clientId;
}
public void requestRejoin() {
coordinator.requestRejoin("Pasture worker requested rejoin");
}
private void stop(boolean swallowException) {
log.trace("Stopping the Pasture Worker.");
AtomicReference firstException = new AtomicReference<>();
this.stopped = true;
Utils.closeQuietly(coordinator, "coordinator", firstException);
Utils.closeQuietly(metrics, "metrics", firstException);
Utils.closeQuietly(client, "network client", firstException);
AppInfoParser.unregisterAppInfo(JMX_PREFIX, clientId, metrics);
if (firstException.get() != null && !swallowException)
throw new KafkaException("Failed to stop the group member", firstException.get());
else
log.debug("The Pasture Worker has stopped.");
}
// Visible for testing
Metrics metrics() {
return this.metrics;
}
public boolean isLeaderElected(){
return coordinator.isLeaderElected();
}
}
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