kafka.api.OffsetFetchResponse.scala Maven / Gradle / Ivy
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Kafka client whose producer requires explicit encoders.
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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,
* 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 kafka.api
import java.nio.ByteBuffer
import kafka.api.ApiUtils._
import kafka.common.{TopicAndPartition, OffsetMetadataAndError}
import kafka.utils.Logging
object OffsetFetchResponse extends Logging {
val CurrentVersion: Short = 0
def readFrom(buffer: ByteBuffer): OffsetFetchResponse = {
val correlationId = buffer.getInt
val topicCount = buffer.getInt
val pairs = (1 to topicCount).flatMap(_ => {
val topic = readShortString(buffer)
val partitionCount = buffer.getInt
(1 to partitionCount).map(_ => {
val partitionId = buffer.getInt
val offset = buffer.getLong
val metadata = readShortString(buffer)
val error = buffer.getShort
(TopicAndPartition(topic, partitionId), OffsetMetadataAndError(offset, metadata, error))
})
})
OffsetFetchResponse(Map(pairs:_*), correlationId)
}
}
case class OffsetFetchResponse(requestInfo: Map[TopicAndPartition, OffsetMetadataAndError],
correlationId: Int = 0)
extends RequestOrResponse() {
lazy val requestInfoGroupedByTopic = requestInfo.groupBy(_._1.topic)
def writeTo(buffer: ByteBuffer) {
buffer.putInt(correlationId)
buffer.putInt(requestInfoGroupedByTopic.size) // number of topics
requestInfoGroupedByTopic.foreach( t1 => { // topic -> Map[TopicAndPartition, OffsetMetadataAndError]
writeShortString(buffer, t1._1) // topic
buffer.putInt(t1._2.size) // number of partitions for this topic
t1._2.foreach( t2 => { // TopicAndPartition -> OffsetMetadataAndError
buffer.putInt(t2._1.partition)
buffer.putLong(t2._2.offset)
writeShortString(buffer, t2._2.metadata)
buffer.putShort(t2._2.error)
})
})
}
override def sizeInBytes =
4 + /* correlationId */
4 + /* topic count */
requestInfoGroupedByTopic.foldLeft(0)((count, topicAndOffsets) => {
val (topic, offsets) = topicAndOffsets
count +
shortStringLength(topic) + /* topic */
4 + /* number of partitions */
offsets.foldLeft(0)((innerCount, offsetsAndMetadata) => {
innerCount +
4 /* partition */ +
8 /* offset */ +
shortStringLength(offsetsAndMetadata._2.metadata) +
2 /* error */
})
})
override def describe(details: Boolean):String = { toString }
}