---
title: Message Format
description: Message Format
weight: 3
tags: ['kafka', 'docs']
aliases: 
keywords: 
type: docs
---

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Messages (aka Records) are always written in batches. The technical term for a batch of messages is a record batch, and a record batch contains one or more records. In the degenerate case, we could have a record batch containing a single record. Record batches and records have their own headers. The format of each is described below. 

## Record Batch

The following is the on-disk format of a RecordBatch. 

```text
baseOffset: int64
batchLength: int32
partitionLeaderEpoch: int32
magic: int8 (current magic value is 2)
crc: uint32
attributes: int16
    bit 0~2:
        0: no compression
        1: gzip
        2: snappy
        3: lz4
        4: zstd
    bit 3: timestampType
    bit 4: isTransactional (0 means not transactional)
    bit 5: isControlBatch (0 means not a control batch)
    bit 6: hasDeleteHorizonMs (0 means baseTimestamp is not set as the delete horizon for compaction)
    bit 7~15: unused
lastOffsetDelta: int32
baseTimestamp: int64
maxTimestamp: int64
producerId: int64
producerEpoch: int16
baseSequence: int32
recordsCount: int32
records: [Record]
```

Note that when compression is enabled, the compressed record data is serialized directly following the count of the number of records. 

batchLength represents the number of bytes from the current position (immediately after the batchLength field) to the end of the batch. In other words, the total size of a record batch on disk is batchLength + 12 bytes, which includes the 8-byte baseOffset and the 4-byte batchLength field itself.

The CRC covers the data from the attributes to the end of the batch (i.e. all the bytes that follow the CRC). It is located after the magic byte, which means that clients must parse the magic byte before deciding how to interpret the bytes between the batch length and the magic byte. The partition leader epoch field is not included in the CRC computation to avoid the need to recompute the CRC when this field is assigned for every batch that is received by the broker. The CRC-32C (Castagnoli) polynomial is used for the computation.

On compaction, we preserve the first and last offset/sequence numbers from the original batch when the log is cleaned. This is required in order to be able to restore the producer's state when the log is reloaded. If we did not retain the last sequence number, for example, then after a partition leader failure, the producer might see an OutOfSequence error. The base sequence number must be preserved for duplicate checking (the broker checks incoming Produce requests for duplicates by verifying that the first and last sequence numbers of the incoming batch match the last from that producer). As a result, it is possible to have empty batches in the log when all the records in the batch are cleaned but batch is still retained in order to preserve a producer's last sequence number. One oddity here is that the baseTimestamp field is not preserved during compaction, so it will change if the first record in the batch is compacted away.

Compaction may also modify the baseTimestamp if the record batch contains records with a null payload or aborted transaction markers. The baseTimestamp will be set to the timestamp of when those records should be deleted with the delete horizon attribute bit also set.

### Control Batches

A control batch contains a single record called the control record. Control records should not be passed on to applications. Instead, they are used by consumers to filter out aborted transactional messages.

The key of a control record conforms to the following schema: 

```text
version: int16 (current version is 0)
type: int16 (0 indicates an abort marker, 1 indicates a commit)
```

The schema for the value of a control record is dependent on the type. The value is opaque to clients.

## Record

The on-disk format of each record is delineated below. 

```text
length: varint
attributes: int8
    bit 0~7: unused
timestampDelta: varlong
offsetDelta: varint
keyLength: varint
key: byte[]
valueLength: varint
value: byte[]
headersCount: varint
Headers => [Header]
```

### Record Header

```text
headerKeyLength: varint
headerKey: String
headerValueLength: varint
Value: byte[]
```

The key of a record header is guaranteed to be non-null, while the value of a record header may be null. The order of headers in a record is preserved when producing and consuming.

We use the same varint encoding as Protobuf. More information on the latter can be found [here](https://developers.google.com/protocol-buffers/docs/encoding#varints). The count of headers in a record is also encoded as a varint.

## Old Message Format

Prior to Kafka 0.11, messages were transferred and stored in _message sets_. See [Old Message Format](https://kafka.apache.org/39/documentation/#messageset) for more details. 
