kafka MutableRecordBatch 源码
kafka MutableRecordBatch 代码
文件路径：/clients/src/main/java/org/apache/kafka/common/record/MutableRecordBatch.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.common.record;
import org.apache.kafka.common.utils.BufferSupplier;
import org.apache.kafka.common.utils.ByteBufferOutputStream;
import org.apache.kafka.common.utils.CloseableIterator;
/**
* A mutable record batch is one that can be modified in place (without copying). This is used by the broker
* to override certain fields in the batch before appending it to the log.
*/
public interface MutableRecordBatch extends RecordBatch {
/**
* Set the last offset of this batch.
* @param offset The last offset to use
*/
void setLastOffset(long offset);
/**
* Set the max timestamp for this batch. When using log append time, this effectively overrides the individual
* timestamps of all the records contained in the batch. To avoid recompression, the record fields are not updated
* by this method, but clients ignore them if the timestamp time is log append time. Note that baseTimestamp is not
* updated by this method.
*
* This typically requires re-computation of the batch's CRC.
*
* @param timestampType The timestamp type
* @param maxTimestamp The maximum timestamp
*/
void setMaxTimestamp(TimestampType timestampType, long maxTimestamp);
/**
* Set the partition leader epoch for this batch of records.
* @param epoch The partition leader epoch to use
*/
void setPartitionLeaderEpoch(int epoch);
/**
* Write this record batch into an output stream.
* @param outputStream The buffer to write the batch to
*/
void writeTo(ByteBufferOutputStream outputStream);
/**
* Return an iterator which skips parsing key, value and headers from the record stream, and therefore the resulted
* {@code org.apache.kafka.common.record.Record}'s key and value fields would be empty. This iterator is used
* when the read record's key and value are not needed and hence can save some byte buffer allocating / GC overhead.
*
* @return The closeable iterator
*/
CloseableIterator<Record> skipKeyValueIterator(BufferSupplier bufferSupplier);
}
相关信息
相关文章
kafka AbstractLegacyRecordBatch 源码
kafka ByteBufferLogInputStream 源码
0
赞
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦