kafka Connector 源码
kafka Connector 代码
文件路径:/connect/api/src/main/java/org/apache/kafka/connect/connector/Connector.java
/*
* 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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.kafka.connect.connector;
import org.apache.kafka.common.config.Config;
import org.apache.kafka.common.config.ConfigDef;
import org.apache.kafka.common.config.ConfigValue;
import org.apache.kafka.connect.errors.ConnectException;
import org.apache.kafka.connect.components.Versioned;
import java.util.List;
import java.util.Map;
/**
* <p>
* Connectors manage integration of Kafka Connect with another system, either as an input that ingests
* data into Kafka or an output that passes data to an external system. Implementations should
* not use this class directly; they should inherit from {@link org.apache.kafka.connect.source.SourceConnector SourceConnector}
* or {@link org.apache.kafka.connect.sink.SinkConnector SinkConnector}.
* </p>
* <p>
* Connectors have two primary tasks. First, given some configuration, they are responsible for
* creating configurations for a set of {@link Task}s that split up the data processing. For
* example, a database Connector might create Tasks by dividing the set of tables evenly among
* tasks. Second, they are responsible for monitoring inputs for changes that require
* reconfiguration and notifying the Kafka Connect runtime via the {@link ConnectorContext}. Continuing the
* previous example, the connector might periodically check for new tables and notify Kafka Connect of
* additions and deletions. Kafka Connect will then request new configurations and update the running
* Tasks.
* </p>
*/
public abstract class Connector implements Versioned {
protected ConnectorContext context;
/**
* Initialize this connector, using the provided ConnectorContext to notify the runtime of
* input configuration changes.
* @param ctx context object used to interact with the Kafka Connect runtime
*/
public void initialize(ConnectorContext ctx) {
context = ctx;
}
/**
* <p>
* Initialize this connector, using the provided ConnectorContext to notify the runtime of
* input configuration changes and using the provided set of Task configurations.
* This version is only used to recover from failures.
* </p>
* <p>
* The default implementation ignores the provided Task configurations. During recovery, Kafka Connect will request
* an updated set of configurations and update the running Tasks appropriately. However, Connectors should
* implement special handling of this case if it will avoid unnecessary changes to running Tasks.
* </p>
*
* @param ctx context object used to interact with the Kafka Connect runtime
* @param taskConfigs existing task configurations, which may be used when generating new task configs to avoid
* churn in partition to task assignments
*/
public void initialize(ConnectorContext ctx, List<Map<String, String>> taskConfigs) {
context = ctx;
// Ignore taskConfigs. May result in more churn of tasks during recovery if updated configs
// are very different, but reduces the difficulty of implementing a Connector
}
/**
* Returns the context object used to interact with the Kafka Connect runtime.
*
* @return the context for this Connector.
*/
protected ConnectorContext context() {
return context;
}
/**
* Start this Connector. This method will only be called on a clean Connector, i.e. it has
* either just been instantiated and initialized or {@link #stop()} has been invoked.
*
* @param props configuration settings
*/
public abstract void start(Map<String, String> props);
/**
* Reconfigure this Connector. Most implementations will not override this, using the default
* implementation that calls {@link #stop()} followed by {@link #start(Map)}.
* Implementations only need to override this if they want to handle this process more
* efficiently, e.g. without shutting down network connections to the external system.
*
* @param props new configuration settings
*/
public void reconfigure(Map<String, String> props) {
stop();
start(props);
}
/**
* Returns the Task implementation for this Connector.
*/
public abstract Class<? extends Task> taskClass();
/**
* Returns a set of configurations for Tasks based on the current configuration,
* producing at most count configurations.
*
* @param maxTasks maximum number of configurations to generate
* @return configurations for Tasks
*/
public abstract List<Map<String, String>> taskConfigs(int maxTasks);
/**
* Stop this connector.
*/
public abstract void stop();
/**
* Validate the connector configuration values against configuration definitions.
* @param connectorConfigs the provided configuration values
* @return List of Config, each Config contains the updated configuration information given
* the current configuration values.
*/
public Config validate(Map<String, String> connectorConfigs) {
ConfigDef configDef = config();
if (null == configDef) {
throw new ConnectException(
String.format("%s.config() must return a ConfigDef that is not null.", this.getClass().getName())
);
}
List<ConfigValue> configValues = configDef.validate(connectorConfigs);
return new Config(configValues);
}
/**
* Define the configuration for the connector.
* @return The ConfigDef for this connector; may not be null.
*/
public abstract ConfigDef config();
}
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