sarama/partitioner.go

package sarama

import (
	"hash"
	"hash/fnv"
	"math/rand"
	"time"
)

// Partitioner is anything that, given a Kafka message and a number of partitions indexed [0...numPartitions-1],
// decides to which partition to send the message. RandomPartitioner, RoundRobinPartitioner and HashPartitioner are provided
// as simple default implementations.
type Partitioner interface {
	Partition(message *ProducerMessage, numPartitions int32) (int32, error) // Partition takes a message and partition count and chooses a partition

	// RequiresConsistency indicates to the user of the partitioner whether the mapping of key->partition is consistent or not.
	// Specifically, if a partitioner requires consistency then it must be allowed to choose from all partitions (even ones known to
	// be unavailable), and its choice must be respected by the caller. The obvious example is the HashPartitioner.
	RequiresConsistency() bool
}

// PartitionerConstructor is the type for a function capable of constructing new Partitioners.
type PartitionerConstructor func(topic string) Partitioner

type manualPartitioner struct{}

// NewManualPartitioner returns a Partitioner which uses the partition manually set in the provided
// ProducerMessage's Partition field as the partition to produce to.
func NewManualPartitioner(topic string) Partitioner {
	return new(manualPartitioner)
}

func (p *manualPartitioner) Partition(message *ProducerMessage, numPartitions int32) (int32, error) {
	return message.Partition, nil
}

func (p *manualPartitioner) RequiresConsistency() bool {
	return true
}

type randomPartitioner struct {
	generator *rand.Rand
}

// NewRandomPartitioner returns a Partitioner which chooses a random partition each time.
func NewRandomPartitioner(topic string) Partitioner {
	p := new(randomPartitioner)
	p.generator = rand.New(rand.NewSource(time.Now().UTC().UnixNano()))
	return p
}

func (p *randomPartitioner) Partition(message *ProducerMessage, numPartitions int32) (int32, error) {
	return int32(p.generator.Intn(int(numPartitions))), nil
}

func (p *randomPartitioner) RequiresConsistency() bool {
	return false
}

type roundRobinPartitioner struct {
	partition int32
}

// NewRoundRobinPartitioner returns a Partitioner which walks through the available partitions one at a time.
func NewRoundRobinPartitioner(topic string) Partitioner {
	return &roundRobinPartitioner{}
}

func (p *roundRobinPartitioner) Partition(message *ProducerMessage, numPartitions int32) (int32, error) {
	if p.partition >= numPartitions {
		p.partition = 0
	}
	ret := p.partition
	p.partition++
	return ret, nil
}

func (p *roundRobinPartitioner) RequiresConsistency() bool {
	return false
}

type hashPartitioner struct {
	random Partitioner
	hasher hash.Hash32
}

// NewHashPartitioner returns a Partitioner which behaves as follows. If the message's key is nil, or fails to
// encode, then a random partition is chosen. Otherwise the FNV-1a hash of the encoded bytes of the message key
// is used, modulus the number of partitions. This ensures that messages with the same key always end up on the
// same partition.
func NewHashPartitioner(topic string) Partitioner {
	p := new(hashPartitioner)
	p.random = NewRandomPartitioner(topic)
	p.hasher = fnv.New32a()
	return p
}

func (p *hashPartitioner) Partition(message *ProducerMessage, numPartitions int32) (int32, error) {
	if message.Key == nil {
		return p.random.Partition(message, numPartitions)
	}
	bytes, err := message.Key.Encode()
	if err != nil {
		return -1, err
	}
	p.hasher.Reset()
	_, err = p.hasher.Write(bytes)
	if err != nil {
		return -1, err
	}
	hash := int32(p.hasher.Sum32())
	if hash < 0 {
		hash = -hash
	}
	return hash % numPartitions, nil
}

func (p *hashPartitioner) RequiresConsistency() bool {
	return true
}