kafka SinkTaskContext 源码
kafka SinkTaskContext 代码
文件路径:/connect/api/src/main/java/org/apache/kafka/connect/sink/SinkTaskContext.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.sink;
import org.apache.kafka.common.TopicPartition;
import java.util.Map;
import java.util.Set;
/**
* Context passed to SinkTasks, allowing them to access utilities in the Kafka Connect runtime.
*/
public interface SinkTaskContext {
/**
* Get the Task configuration. This is the latest configuration and may differ from that passed on startup.
*
* For example, this method can be used to obtain the latest configuration if an external secret has changed,
* and the configuration is using variable references such as those compatible with
* {@link org.apache.kafka.common.config.ConfigTransformer}.
*/
Map<String, String> configs();
/**
* Reset the consumer offsets for the given topic partitions. SinkTasks should use this if they manage offsets
* in the sink data store rather than using Kafka consumer offsets. For example, an HDFS connector might record
* offsets in HDFS to provide exactly once delivery. When the SinkTask is started or a rebalance occurs, the task
* would reload offsets from HDFS and use this method to reset the consumer to those offsets.
*
* SinkTasks that do not manage their own offsets do not need to use this method.
*
* @param offsets map of offsets for topic partitions
*/
void offset(Map<TopicPartition, Long> offsets);
/**
* Reset the consumer offsets for the given topic partition. SinkTasks should use if they manage offsets
* in the sink data store rather than using Kafka consumer offsets. For example, an HDFS connector might record
* offsets in HDFS to provide exactly once delivery. When the topic partition is recovered the task
* would reload offsets from HDFS and use this method to reset the consumer to the offset.
*
* SinkTasks that do not manage their own offsets do not need to use this method.
*
* @param tp the topic partition to reset offset.
* @param offset the offset to reset to.
*/
void offset(TopicPartition tp, long offset);
/**
* Set the timeout in milliseconds. SinkTasks should use this to indicate that they need to retry certain
* operations after the timeout. SinkTasks may have certain operations on external systems that may need
* to retry in case of failures. For example, append a record to an HDFS file may fail due to temporary network
* issues. SinkTasks use this method to set how long to wait before retrying.
* @param timeoutMs the backoff timeout in milliseconds.
*/
void timeout(long timeoutMs);
/**
* Get the current set of assigned TopicPartitions for this task.
* @return the set of currently assigned TopicPartitions
*/
Set<TopicPartition> assignment();
/**
* Pause consumption of messages from the specified TopicPartitions.
* @param partitions the partitions which should be paused
*/
void pause(TopicPartition... partitions);
/**
* Resume consumption of messages from previously paused TopicPartitions.
* @param partitions the partitions to resume
*/
void resume(TopicPartition... partitions);
/**
* Request an offset commit. Sink tasks can use this to minimize the potential for redelivery
* by requesting an offset commit as soon as they flush data to the destination system.
*
* It is only a hint to the runtime and no timing guarantee should be assumed.
*/
void requestCommit();
/**
* Get the reporter to which the sink task can report problematic or failed {@link SinkRecord records}
* passed to the {@link SinkTask#put(java.util.Collection)} method. When reporting a failed record,
* the sink task will receive a {@link java.util.concurrent.Future} that the task can optionally use to wait until
* the failed record and exception have been written to Kafka. Note that the result of
* this method may be null if this connector has not been configured to use a reporter.
*
* <p>This method was added in Apache Kafka 2.6. Sink tasks that use this method but want to
* maintain backward compatibility so they can also be deployed to older Connect runtimes
* should guard the call to this method with a try-catch block, since calling this method will result in a
* {@link NoSuchMethodException} or {@link NoClassDefFoundError} when the sink connector is deployed to
* Connect runtimes older than Kafka 2.6. For example:
* <pre>
* ErrantRecordReporter reporter;
* try {
* reporter = context.errantRecordReporter();
* } catch (NoSuchMethodError | NoClassDefFoundError e) {
* reporter = null;
* }
* </pre>
*
* @return the reporter; null if no error reporter has been configured for the connector
* @since 2.6
*/
default ErrantRecordReporter errantRecordReporter() {
return null;
}
}
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