sarama

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README

sarama

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Sarama is an MIT-licensed Go client library for Apache Kafka version 0.8 (and later).

Getting started
  • API documentation and examples are available via godoc.
  • Mocks for testing are available in the mocks subpackage.
  • The examples directory contains more elaborate example applications.
  • The tools directory contains command line tools that can be useful for testing, diagnostics, and instrumentation.

You might also want to look at the Frequently Asked Questions.

Compatibility and API stability

Sarama provides a "2 releases + 2 months" compatibility guarantee: we support the two latest stable releases of Kafka and Go, and we provide a two month grace period for older releases. This means we currently officially support Go 1.9 through 1.7, and Kafka 0.11 through 0.9, although older releases are still likely to work.

Sarama follows semantic versioning and provides API stability via the gopkg.in service. You can import a version with a guaranteed stable API via http://gopkg.in/Shopify/sarama.v1. A changelog is available here.

Contributing

Documentation

Overview

Package sarama is a pure Go client library for dealing with Apache Kafka (versions 0.8 and later). It includes a high-level API for easily producing and consuming messages, and a low-level API for controlling bytes on the wire when the high-level API is insufficient. Usage examples for the high-level APIs are provided inline with their full documentation.

To produce messages, use either the AsyncProducer or the SyncProducer. The AsyncProducer accepts messages on a channel and produces them asynchronously in the background as efficiently as possible; it is preferred in most cases. The SyncProducer provides a method which will block until Kafka acknowledges the message as produced. This can be useful but comes with two caveats: it will generally be less efficient, and the actual durability guarantees depend on the configured value of `Producer.RequiredAcks`. There are configurations where a message acknowledged by the SyncProducer can still sometimes be lost.

To consume messages, use the Consumer. Note that Sarama's Consumer implementation does not currently support automatic consumer-group rebalancing and offset tracking. For Zookeeper-based tracking (Kafka 0.8.2 and earlier), the https://github.com/wvanbergen/kafka library builds on Sarama to add this support. For Kafka-based tracking (Kafka 0.9 and later), the https://github.com/bsm/sarama-cluster library builds on Sarama to add this support.

For lower-level needs, the Broker and Request/Response objects permit precise control over each connection and message sent on the wire; the Client provides higher-level metadata management that is shared between the producers and the consumer. The Request/Response objects and properties are mostly undocumented, as they line up exactly with the protocol fields documented by Kafka at https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol

Metrics are exposed through https://github.com/rcrowley/go-metrics library in a local registry.

Broker related metrics: 

+----------------------------------------------+------------+---------------------------------------------------------------+
| Name                                         | Type       | Description                                                   |
+----------------------------------------------+------------+---------------------------------------------------------------+
| incoming-byte-rate                           | meter      | Bytes/second read off all brokers                             |
| incoming-byte-rate-for-broker-<broker-id>    | meter      | Bytes/second read off a given broker                          |
| outgoing-byte-rate                           | meter      | Bytes/second written off all brokers                          |
| outgoing-byte-rate-for-broker-<broker-id>    | meter      | Bytes/second written off a given broker                       |
| request-rate                                 | meter      | Requests/second sent to all brokers                           |
| request-rate-for-broker-<broker-id>          | meter      | Requests/second sent to a given broker                        |
| request-size                                 | histogram  | Distribution of the request size in bytes for all brokers     |
| request-size-for-broker-<broker-id>          | histogram  | Distribution of the request size in bytes for a given broker  |
| request-latency-in-ms                        | histogram  | Distribution of the request latency in ms for all brokers     |
| request-latency-in-ms-for-broker-<broker-id> | histogram  | Distribution of the request latency in ms for a given broker  |
| response-rate                                | meter      | Responses/second received from all brokers                    |
| response-rate-for-broker-<broker-id>         | meter      | Responses/second received from a given broker                 |
| response-size                                | histogram  | Distribution of the response size in bytes for all brokers    |
| response-size-for-broker-<broker-id>         | histogram  | Distribution of the response size in bytes for a given broker |
+----------------------------------------------+------------+---------------------------------------------------------------+

Note that we do not gather specific metrics for seed brokers but they are part of the "all brokers" metrics.

Producer related metrics: 

+-------------------------------------------+------------+--------------------------------------------------------------------------------------+
| Name                                      | Type       | Description                                                                          |
+-------------------------------------------+------------+--------------------------------------------------------------------------------------+
| batch-size                                | histogram  | Distribution of the number of bytes sent per partition per request for all topics    |
| batch-size-for-topic-<topic>              | histogram  | Distribution of the number of bytes sent per partition per request for a given topic |
| record-send-rate                          | meter      | Records/second sent to all topics                                                    |
| record-send-rate-for-topic-<topic>        | meter      | Records/second sent to a given topic                                                 |
| records-per-request                       | histogram  | Distribution of the number of records sent per request for all topics                |
| records-per-request-for-topic-<topic>     | histogram  | Distribution of the number of records sent per request for a given topic             |
| compression-ratio                         | histogram  | Distribution of the compression ratio times 100 of record batches for all topics     |
| compression-ratio-for-topic-<topic>       | histogram  | Distribution of the compression ratio times 100 of record batches for a given topic  |
+-------------------------------------------+------------+--------------------------------------------------------------------------------------+

Index

Examples

Constants

View Source 
const (
	// OffsetNewest stands for the log head offset, i.e. the offset that will be
	// assigned to the next message that will be produced to the partition. You
	// can send this to a client's GetOffset method to get this offset, or when
	// calling ConsumePartition to start consuming new messages.
	OffsetNewest int64 = -1
	// OffsetOldest stands for the oldest offset available on the broker for a
	// partition. You can send this to a client's GetOffset method to get this
	// offset, or when calling ConsumePartition to start consuming from the
	// oldest offset that is still available on the broker.
	OffsetOldest int64 = -2
)
View Source 
const GroupGenerationUndefined = -1

GroupGenerationUndefined is a special value for the group generation field of Offset Commit Requests that should be used when a consumer group does not rely on Kafka for partition management.

View Source 
const ReceiveTime int64 = -1

ReceiveTime is a special value for the timestamp field of Offset Commit Requests which tells the broker to set the timestamp to the time at which the request was received. The timestamp is only used if message version 1 is used, which requires kafka 0.8.2.

Variables

View Source 
var (
	V0_8_2_0  = newKafkaVersion(0, 8, 2, 0)
	V0_8_2_1  = newKafkaVersion(0, 8, 2, 1)
	V0_8_2_2  = newKafkaVersion(0, 8, 2, 2)
	V0_9_0_0  = newKafkaVersion(0, 9, 0, 0)
	V0_9_0_1  = newKafkaVersion(0, 9, 0, 1)
	V0_10_0_0 = newKafkaVersion(0, 10, 0, 0)
	V0_10_0_1 = newKafkaVersion(0, 10, 0, 1)
	V0_10_1_0 = newKafkaVersion(0, 10, 1, 0)
	V0_10_2_0 = newKafkaVersion(0, 10, 2, 0)
	V0_11_0_0 = newKafkaVersion(0, 11, 0, 0)
)

Effective constants defining the supported kafka versions.

View Source 
var ErrAlreadyConnected = errors.New("kafka: broker connection already initiated")

ErrAlreadyConnected is the error returned when calling Open() on a Broker that is already connected or connecting.

View Source 
var ErrClosedClient = errors.New("kafka: tried to use a client that was closed")

ErrClosedClient is the error returned when a method is called on a client that has been closed.

View Source 
var ErrIncompleteResponse = errors.New("kafka: response did not contain all the expected topic/partition blocks")

ErrIncompleteResponse is the error returned when the server returns a syntactically valid response, but it does not contain the expected information.

View Source 
var ErrInsufficientData = errors.New("kafka: insufficient data to decode packet, more bytes expected")

ErrInsufficientData is returned when decoding and the packet is truncated. This can be expected when requesting messages, since as an optimization the server is allowed to return a partial message at the end of the message set.

View Source 
var ErrInvalidPartition = errors.New("kafka: partitioner returned an invalid partition index")

ErrInvalidPartition is the error returned when a partitioner returns an invalid partition index (meaning one outside of the range [0...numPartitions-1]).

View Source 
var ErrMessageTooLarge = errors.New("kafka: message is larger than Consumer.Fetch.Max")

ErrMessageTooLarge is returned when the next message to consume is larger than the configured Consumer.Fetch.Max

View Source 
var ErrNotConnected = errors.New("kafka: broker not connected")

ErrNotConnected is the error returned when trying to send or call Close() on a Broker that is not connected.

View Source 
var ErrOutOfBrokers = errors.New("kafka: client has run out of available brokers to talk to (Is your cluster reachable?)")

ErrOutOfBrokers is the error returned when the client has run out of brokers to talk to because all of them errored or otherwise failed to respond.

View Source 
var ErrShuttingDown = errors.New("kafka: message received by producer in process of shutting down")

ErrShuttingDown is returned when a producer receives a message during shutdown.

View Source 
var MaxRequestSize int32 = 100 * 1024 * 1024

MaxRequestSize is the maximum size (in bytes) of any request that Sarama will attempt to send. Trying to send a request larger than this will result in an PacketEncodingError. The default of 100 MiB is aligned with Kafka's default `socket.request.max.bytes`, which is the largest request the broker will attempt to process.

View Source 
var MaxResponseSize int32 = 100 * 1024 * 1024

MaxResponseSize is the maximum size (in bytes) of any response that Sarama will attempt to parse. If a broker returns a response message larger than this value, Sarama will return a PacketDecodingError to protect the client from running out of memory. Please note that brokers do not have any natural limit on the size of responses they send. In particular, they can send arbitrarily large fetch responses to consumers (see https://issues.apache.org/jira/browse/KAFKA-2063).

View Source 
var PanicHandler func(interface{})

PanicHandler is called for recovering from panics spawned internally to the library (and thus not recoverable by the caller's goroutine). Defaults to nil, which means panics are not recovered.

Functions

This section is empty.

Types

type AbortedTransaction added in v1.14.0 

type AbortedTransaction struct {
	ProducerID  int64
	FirstOffset int64
}

type ApiVersionsRequest 

type ApiVersionsRequest struct {
}

type ApiVersionsResponse 

type ApiVersionsResponse struct {
	Err         KError
	ApiVersions []*ApiVersionsResponseBlock
}

type ApiVersionsResponseBlock 

type ApiVersionsResponseBlock struct {
	ApiKey     int16
	MinVersion int16
	MaxVersion int16
}

type AsyncProducer 

type AsyncProducer interface {

	// AsyncClose triggers a shutdown of the producer. The shutdown has completed
	// when both the Errors and Successes channels have been closed. When calling
	// AsyncClose, you *must* continue to read from those channels in order to
	// drain the results of any messages in flight.
	AsyncClose()

	// Close shuts down the producer and waits for any buffered messages to be
	// flushed. You must call this function before a producer object passes out of
	// scope, as it may otherwise leak memory. You must call this before calling
	// Close on the underlying client.
	Close() error

	// Input is the input channel for the user to write messages to that they
	// wish to send.
	Input() chan<- *ProducerMessage

	// Successes is the success output channel back to the user when Return.Successes is
	// enabled. If Return.Successes is true, you MUST read from this channel or the
	// Producer will deadlock. It is suggested that you send and read messages
	// together in a single select statement.
	Successes() <-chan *ProducerMessage

	// Errors is the error output channel back to the user. You MUST read from this
	// channel or the Producer will deadlock when the channel is full. Alternatively,
	// you can set Producer.Return.Errors in your config to false, which prevents
	// errors to be returned.
	Errors() <-chan *ProducerError
}

AsyncProducer publishes Kafka messages using a non-blocking API. It routes messages to the correct broker for the provided topic-partition, refreshing metadata as appropriate, and parses responses for errors. You must read from the Errors() channel or the producer will deadlock. You must call Close() or AsyncClose() on a producer to avoid leaks: it will not be garbage-collected automatically when it passes out of scope.

Example (Goroutines)

This example shows how to use the producer with separate goroutines reading from the Successes and Errors channels. Note that in order for the Successes channel to be populated, you have to set config.Producer.Return.Successes to true. 

config := NewConfig()
config.Producer.Return.Successes = true
producer, err := NewAsyncProducer([]string{"localhost:9092"}, config)
if err != nil {
	panic(err)
}

// Trap SIGINT to trigger a graceful shutdown.
signals := make(chan os.Signal, 1)
signal.Notify(signals, os.Interrupt)

var (
	wg                          sync.WaitGroup
	enqueued, successes, errors int
)

wg.Add(1)
go func() {
	defer wg.Done()
	for range producer.Successes() {
		successes++
	}
}()

wg.Add(1)
go func() {
	defer wg.Done()
	for err := range producer.Errors() {
		log.Println(err)
		errors++
	}
}()

ProducerLoop:
for {
	message := &ProducerMessage{Topic: "my_topic", Value: StringEncoder("testing 123")}
	select {
	case producer.Input() <- message:
		enqueued++

	case <-signals:
		producer.AsyncClose() // Trigger a shutdown of the producer.
		break ProducerLoop
	}
}

wg.Wait()

log.Printf("Successfully produced: %d; errors: %d\n", successes, errors)

Output:
Example (Select)

This example shows how to use the producer while simultaneously reading the Errors channel to know about any failures. 

producer, err := NewAsyncProducer([]string{"localhost:9092"}, nil)
if err != nil {
	panic(err)
}

defer func() {
	if err := producer.Close(); err != nil {
		log.Fatalln(err)
	}
}()

// Trap SIGINT to trigger a shutdown.
signals := make(chan os.Signal, 1)
signal.Notify(signals, os.Interrupt)

var enqueued, errors int
ProducerLoop:
for {
	select {
	case producer.Input() <- &ProducerMessage{Topic: "my_topic", Key: nil, Value: StringEncoder("testing 123")}:
		enqueued++
	case err := <-producer.Errors():
		log.Println("Failed to produce message", err)
		errors++
	case <-signals:
		break ProducerLoop
	}
}

log.Printf("Enqueued: %d; errors: %d\n", enqueued, errors)

Output:

func NewAsyncProducer 

func NewAsyncProducer(addrs []string, conf *Config) (AsyncProducer, error)

NewAsyncProducer creates a new AsyncProducer using the given broker addresses and configuration.

func NewAsyncProducerFromClient 

func NewAsyncProducerFromClient(client Client) (AsyncProducer, error)

NewAsyncProducerFromClient creates a new Producer using the given client. It is still necessary to call Close() on the underlying client when shutting down this producer.

type Broker 

type Broker struct {
	// contains filtered or unexported fields
}

Broker represents a single Kafka broker connection. All operations on this object are entirely concurrency-safe.

Example 
broker := NewBroker("localhost:9092")
err := broker.Open(nil)
if err != nil {
	panic(err)
}

request := MetadataRequest{Topics: []string{"myTopic"}}
response, err := broker.GetMetadata(&request)
if err != nil {
	_ = broker.Close()
	panic(err)
}

fmt.Println("There are", len(response.Topics), "topics active in the cluster.")

if err = broker.Close(); err != nil {
	panic(err)
}

Output:

func NewBroker 

func NewBroker(addr string) *Broker

NewBroker creates and returns a Broker targeting the given host:port address. This does not attempt to actually connect, you have to call Open() for that.

func (*Broker) Addr 

func (b *Broker) Addr() string

Addr returns the broker address as either retrieved from Kafka's metadata or passed to NewBroker.

func (*Broker) ApiVersions 

func (b *Broker) ApiVersions(request *ApiVersionsRequest) (*ApiVersionsResponse, error)

func (*Broker) Close 

func (b *Broker) Close() error

func (*Broker) CommitOffset 

func (b *Broker) CommitOffset(request *OffsetCommitRequest) (*OffsetCommitResponse, error)

func (*Broker) Connected 

func (b *Broker) Connected() (bool, error)

Connected returns true if the broker is connected and false otherwise. If the broker is not connected but it had tried to connect, the error from that connection attempt is also returned.

func (*Broker) DescribeGroups 

func (b *Broker) DescribeGroups(request *DescribeGroupsRequest) (*DescribeGroupsResponse, error)

func (*Broker) Fetch 

func (b *Broker) Fetch(request *FetchRequest) (*FetchResponse, error)

func (*Broker) FetchOffset 

func (b *Broker) FetchOffset(request *OffsetFetchRequest) (*OffsetFetchResponse, error)

func (*Broker) GetAvailableOffsets 

func (b *Broker) GetAvailableOffsets(request *OffsetRequest) (*OffsetResponse, error)

func (*Broker) GetConsumerMetadata 

func (b *Broker) GetConsumerMetadata(request *ConsumerMetadataRequest) (*ConsumerMetadataResponse, error)

func (*Broker) GetMetadata 

func (b *Broker) GetMetadata(request *MetadataRequest) (*MetadataResponse, error)

func (*Broker) Heartbeat 

func (b *Broker) Heartbeat(request *HeartbeatRequest) (*HeartbeatResponse, error)

func (*Broker) ID 

func (b *Broker) ID() int32

ID returns the broker ID retrieved from Kafka's metadata, or -1 if that is not known.

func (*Broker) JoinGroup 

func (b *Broker) JoinGroup(request *JoinGroupRequest) (*JoinGroupResponse, error)

func (*Broker) LeaveGroup 

func (b *Broker) LeaveGroup(request *LeaveGroupRequest) (*LeaveGroupResponse, error)

func (*Broker) ListGroups 

func (b *Broker) ListGroups(request *ListGroupsRequest) (*ListGroupsResponse, error)

func (*Broker) Open 

func (b *Broker) Open(conf *Config) error

Open tries to connect to the Broker if it is not already connected or connecting, but does not block waiting for the connection to complete. This means that any subsequent operations on the broker will block waiting for the connection to succeed or fail. To get the effect of a fully synchronous Open call, follow it by a call to Connected(). The only errors Open will return directly are ConfigurationError or AlreadyConnected. If conf is nil, the result of NewConfig() is used.

func (*Broker) Produce 

func (b *Broker) Produce(request *ProduceRequest) (*ProduceResponse, error)

func (*Broker) SyncGroup 

func (b *Broker) SyncGroup(request *SyncGroupRequest) (*SyncGroupResponse, error)

type ByteEncoder 

type ByteEncoder []byte

ByteEncoder implements the Encoder interface for Go byte slices so that they can be used as the Key or Value in a ProducerMessage.

func (ByteEncoder) Encode 

func (b ByteEncoder) Encode() ([]byte, error)

func (ByteEncoder) Length 

func (b ByteEncoder) Length() int

type Client 

type Client interface {
	// Config returns the Config struct of the client. This struct should not be
	// altered after it has been created.
	Config() *Config

	// Brokers returns the current set of active brokers as retrieved from cluster metadata.
	Brokers() []*Broker

	// Topics returns the set of available topics as retrieved from cluster metadata.
	Topics() ([]string, error)

	// Partitions returns the sorted list of all partition IDs for the given topic.
	Partitions(topic string) ([]int32, error)

	// WritablePartitions returns the sorted list of all writable partition IDs for
	// the given topic, where "writable" means "having a valid leader accepting
	// writes".
	WritablePartitions(topic string) ([]int32, error)

	// Leader returns the broker object that is the leader of the current
	// topic/partition, as determined by querying the cluster metadata.
	Leader(topic string, partitionID int32) (*Broker, error)

	// Replicas returns the set of all replica IDs for the given partition.
	Replicas(topic string, partitionID int32) ([]int32, error)

	// InSyncReplicas returns the set of all in-sync replica IDs for the given
	// partition. In-sync replicas are replicas which are fully caught up with
	// the partition leader.
	InSyncReplicas(topic string, partitionID int32) ([]int32, error)

	// RefreshMetadata takes a list of topics and queries the cluster to refresh the
	// available metadata for those topics. If no topics are provided, it will refresh
	// metadata for all topics.
	RefreshMetadata(topics ...string) error

	// GetOffset queries the cluster to get the most recent available offset at the
	// given time (in milliseconds) on the topic/partition combination.
	// Time should be OffsetOldest for the earliest available offset,
	// OffsetNewest for the offset of the message that will be produced next, or a time.
	GetOffset(topic string, partitionID int32, time int64) (int64, error)

	// Coordinator returns the coordinating broker for a consumer group. It will
	// return a locally cached value if it's available. You can call
	// RefreshCoordinator to update the cached value. This function only works on
	// Kafka 0.8.2 and higher.
	Coordinator(consumerGroup string) (*Broker, error)

	// RefreshCoordinator retrieves the coordinator for a consumer group and stores it
	// in local cache. This function only works on Kafka 0.8.2 and higher.
	RefreshCoordinator(consumerGroup string) error

	// Close shuts down all broker connections managed by this client. It is required
	// to call this function before a client object passes out of scope, as it will
	// otherwise leak memory. You must close any Producers or Consumers using a client
	// before you close the client.
	Close() error

	// Closed returns true if the client has already had Close called on it
	Closed() bool
}

Client is a generic Kafka client. It manages connections to one or more Kafka brokers. You MUST call Close() on a client to avoid leaks, it will not be garbage-collected automatically when it passes out of scope. It is safe to share a client amongst many users, however Kafka will process requests from a single client strictly in serial, so it is generally more efficient to use the default one client per producer/consumer.

func NewClient 

func NewClient(addrs []string, conf *Config) (Client, error)

NewClient creates a new Client. It connects to one of the given broker addresses and uses that broker to automatically fetch metadata on the rest of the kafka cluster. If metadata cannot be retrieved from any of the given broker addresses, the client is not created.

type CompressionCodec 

type CompressionCodec int8

CompressionCodec represents the various compression codecs recognized by Kafka in messages. 

const (
	CompressionNone   CompressionCodec = 0
	CompressionGZIP   CompressionCodec = 1
	CompressionSnappy CompressionCodec = 2
	CompressionLZ4    CompressionCodec = 3
)

type Config 

type Config struct {
	// Net is the namespace for network-level properties used by the Broker, and
	// shared by the Client/Producer/Consumer.
	Net struct {
		// How many outstanding requests a connection is allowed to have before
		// sending on it blocks (default 5).
		MaxOpenRequests int

		// All three of the below configurations are similar to the
		// `socket.timeout.ms` setting in JVM kafka. All of them default
		// to 30 seconds.
		DialTimeout  time.Duration // How long to wait for the initial connection.
		ReadTimeout  time.Duration // How long to wait for a response.
		WriteTimeout time.Duration // How long to wait for a transmit.

		TLS struct {
			// Whether or not to use TLS when connecting to the broker
			// (defaults to false).
			Enable bool
			// The TLS configuration to use for secure connections if
			// enabled (defaults to nil).
			Config *tls.Config
		}

		// SASL based authentication with broker. While there are multiple SASL authentication methods
		// the current implementation is limited to plaintext (SASL/PLAIN) authentication
		SASL struct {
			// Whether or not to use SASL authentication when connecting to the broker
			// (defaults to false).
			Enable bool
			// Whether or not to send the Kafka SASL handshake first if enabled
			// (defaults to true). You should only set this to false if you're using
			// a non-Kafka SASL proxy.
			Handshake bool
			//username and password for SASL/PLAIN authentication
			User     string
			Password string
		}

		// KeepAlive specifies the keep-alive period for an active network connection.
		// If zero, keep-alives are disabled. (default is 0: disabled).
		KeepAlive time.Duration
	}

	// Metadata is the namespace for metadata management properties used by the
	// Client, and shared by the Producer/Consumer.
	Metadata struct {
		Retry struct {
			// The total number of times to retry a metadata request when the
			// cluster is in the middle of a leader election (default 3).
			Max int
			// How long to wait for leader election to occur before retrying
			// (default 250ms). Similar to the JVM's `retry.backoff.ms`.
			Backoff time.Duration
		}
		// How frequently to refresh the cluster metadata in the background.
		// Defaults to 10 minutes. Set to 0 to disable. Similar to
		// `topic.metadata.refresh.interval.ms` in the JVM version.
		RefreshFrequency time.Duration

		// Whether to maintain a full set of metadata for all topics, or just
		// the minimal set that has been necessary so far. The full set is simpler
		// and usually more convenient, but can take up a substantial amount of
		// memory if you have many topics and partitions. Defaults to true.
		Full bool
	}

	// Producer is the namespace for configuration related to producing messages,
	// used by the Producer.
	Producer struct {
		// The maximum permitted size of a message (defaults to 1000000). Should be
		// set equal to or smaller than the broker's `message.max.bytes`.
		MaxMessageBytes int
		// The level of acknowledgement reliability needed from the broker (defaults
		// to WaitForLocal). Equivalent to the `request.required.acks` setting of the
		// JVM producer.
		RequiredAcks RequiredAcks
		// The maximum duration the broker will wait the receipt of the number of
		// RequiredAcks (defaults to 10 seconds). This is only relevant when
		// RequiredAcks is set to WaitForAll or a number > 1. Only supports
		// millisecond resolution, nanoseconds will be truncated. Equivalent to
		// the JVM producer's `request.timeout.ms` setting.
		Timeout time.Duration
		// The type of compression to use on messages (defaults to no compression).
		// Similar to `compression.codec` setting of the JVM producer.
		Compression CompressionCodec
		// Generates partitioners for choosing the partition to send messages to
		// (defaults to hashing the message key). Similar to the `partitioner.class`
		// setting for the JVM producer.
		Partitioner PartitionerConstructor

		// Return specifies what channels will be populated. If they are set to true,
		// you must read from the respective channels to prevent deadlock. If,
		// however, this config is used to create a `SyncProducer`, both must be set
		// to true and you shall not read from the channels since the producer does
		// this internally.
		Return struct {
			// If enabled, successfully delivered messages will be returned on the
			// Successes channel (default disabled).
			Successes bool

			// If enabled, messages that failed to deliver will be returned on the
			// Errors channel, including error (default enabled).
			Errors bool
		}

		// The following config options control how often messages are batched up and
		// sent to the broker. By default, messages are sent as fast as possible, and
		// all messages received while the current batch is in-flight are placed
		// into the subsequent batch.
		Flush struct {
			// The best-effort number of bytes needed to trigger a flush. Use the
			// global sarama.MaxRequestSize to set a hard upper limit.
			Bytes int
			// The best-effort number of messages needed to trigger a flush. Use
			// `MaxMessages` to set a hard upper limit.
			Messages int
			// The best-effort frequency of flushes. Equivalent to
			// `queue.buffering.max.ms` setting of JVM producer.
			Frequency time.Duration
			// The maximum number of messages the producer will send in a single
			// broker request. Defaults to 0 for unlimited. Similar to
			// `queue.buffering.max.messages` in the JVM producer.
			MaxMessages int
		}

		Retry struct {
			// The total number of times to retry sending a message (default 3).
			// Similar to the `message.send.max.retries` setting of the JVM producer.
			Max int
			// How long to wait for the cluster to settle between retries
			// (default 100ms). Similar to the `retry.backoff.ms` setting of the
			// JVM producer.
			Backoff time.Duration
		}
	}

	// Consumer is the namespace for configuration related to consuming messages,
	// used by the Consumer.
	//
	// Note that Sarama's Consumer type does not currently support automatic
	// consumer-group rebalancing and offset tracking.  For Zookeeper-based
	// tracking (Kafka 0.8.2 and earlier), the https://github.com/wvanbergen/kafka
	// library builds on Sarama to add this support. For Kafka-based tracking
	// (Kafka 0.9 and later), the https://github.com/bsm/sarama-cluster library
	// builds on Sarama to add this support.
	Consumer struct {
		Retry struct {
			// How long to wait after a failing to read from a partition before
			// trying again (default 2s).
			Backoff time.Duration
		}

		// Fetch is the namespace for controlling how many bytes are retrieved by any
		// given request.
		Fetch struct {
			// The minimum number of message bytes to fetch in a request - the broker
			// will wait until at least this many are available. The default is 1,
			// as 0 causes the consumer to spin when no messages are available.
			// Equivalent to the JVM's `fetch.min.bytes`.
			Min int32
			// The default number of message bytes to fetch from the broker in each
			// request (default 32768). This should be larger than the majority of
			// your messages, or else the consumer will spend a lot of time
			// negotiating sizes and not actually consuming. Similar to the JVM's
			// `fetch.message.max.bytes`.
			Default int32
			// The maximum number of message bytes to fetch from the broker in a
			// single request. Messages larger than this will return
			// ErrMessageTooLarge and will not be consumable, so you must be sure
			// this is at least as large as your largest message. Defaults to 0
			// (no limit). Similar to the JVM's `fetch.message.max.bytes`. The
			// global `sarama.MaxResponseSize` still applies.
			Max int32
		}
		// The maximum amount of time the broker will wait for Consumer.Fetch.Min
		// bytes to become available before it returns fewer than that anyways. The
		// default is 250ms, since 0 causes the consumer to spin when no events are
		// available. 100-500ms is a reasonable range for most cases. Kafka only
		// supports precision up to milliseconds; nanoseconds will be truncated.
		// Equivalent to the JVM's `fetch.wait.max.ms`.
		MaxWaitTime time.Duration

		// The maximum amount of time the consumer expects a message takes to
		// process for the user. If writing to the Messages channel takes longer
		// than this, that partition will stop fetching more messages until it
		// can proceed again.
		// Note that, since the Messages channel is buffered, the actual grace time is
		// (MaxProcessingTime * ChanneBufferSize). Defaults to 100ms.
		// If a message is not written to the Messages channel between two ticks
		// of the expiryTicker then a timeout is detected.
		// Using a ticker instead of a timer to detect timeouts should typically
		// result in many fewer calls to Timer functions which may result in a
		// significant performance improvement if many messages are being sent
		// and timeouts are infrequent.
		// The disadvantage of using a ticker instead of a timer is that
		// timeouts will be less accurate. That is, the effective timeout could
		// be between `MaxProcessingTime` and `2 * MaxProcessingTime`. For
		// example, if `MaxProcessingTime` is 100ms then a delay of 180ms
		// between two messages being sent may not be recognized as a timeout.
		MaxProcessingTime time.Duration

		// Return specifies what channels will be populated. If they are set to true,
		// you must read from them to prevent deadlock.
		Return struct {
			// If enabled, any errors that occurred while consuming are returned on
			// the Errors channel (default disabled).
			Errors bool
		}

		// Offsets specifies configuration for how and when to commit consumed
		// offsets. This currently requires the manual use of an OffsetManager
		// but will eventually be automated.
		Offsets struct {
			// How frequently to commit updated offsets. Defaults to 1s.
			CommitInterval time.Duration

			// The initial offset to use if no offset was previously committed.
			// Should be OffsetNewest or OffsetOldest. Defaults to OffsetNewest.
			Initial int64

			// The retention duration for committed offsets. If zero, disabled
			// (in which case the `offsets.retention.minutes` option on the
			// broker will be used).  Kafka only supports precision up to
			// milliseconds; nanoseconds will be truncated. Requires Kafka
			// broker version 0.9.0 or later.
			// (default is 0: disabled).
			Retention time.Duration
		}
	}

	// A user-provided string sent with every request to the brokers for logging,
	// debugging, and auditing purposes. Defaults to "sarama", but you should
	// probably set it to something specific to your application.
	ClientID string
	// The number of events to buffer in internal and external channels. This
	// permits the producer and consumer to continue processing some messages
	// in the background while user code is working, greatly improving throughput.
	// Defaults to 256.
	ChannelBufferSize int
	// The version of Kafka that Sarama will assume it is running against.
	// Defaults to the oldest supported stable version. Since Kafka provides
	// backwards-compatibility, setting it to a version older than you have
	// will not break anything, although it may prevent you from using the
	// latest features. Setting it to a version greater than you are actually
	// running may lead to random breakage.
	Version KafkaVersion
	// The registry to define metrics into.
	// Defaults to a local registry.
	// If you want to disable metrics gathering, set "metrics.UseNilMetrics" to "true"
	// prior to starting Sarama.
	// See Examples on how to use the metrics registry
	MetricRegistry metrics.Registry
}

Config is used to pass multiple configuration options to Sarama's constructors.

Example (Metrics)

This example shows how to integrate with an existing registry as well as publishing metrics on the standard output 

// Our application registry
appMetricRegistry := metrics.NewRegistry()
appGauge := metrics.GetOrRegisterGauge("m1", appMetricRegistry)
appGauge.Update(1)

config := NewConfig()
// Use a prefix registry instead of the default local one
config.MetricRegistry = metrics.NewPrefixedChildRegistry(appMetricRegistry, "sarama.")

// Simulate a metric created by sarama without starting a broker
saramaGauge := metrics.GetOrRegisterGauge("m2", config.MetricRegistry)
saramaGauge.Update(2)

metrics.WriteOnce(appMetricRegistry, os.Stdout)

Output:

gauge m1
  value:               1
gauge sarama.m2
  value:               2

func NewConfig 

func NewConfig() *Config

NewConfig returns a new configuration instance with sane defaults.

func (*Config) Validate 

func (c *Config) Validate() error

Validate checks a Config instance. It will return a ConfigurationError if the specified values don't make sense.

type ConfigurationError 

type ConfigurationError string

ConfigurationError is the type of error returned from a constructor (e.g. NewClient, or NewConsumer) when the specified configuration is invalid.

func (ConfigurationError) Error 

func (err ConfigurationError) Error() string

type Consumer 

type Consumer interface {

	// Topics returns the set of available topics as retrieved from the cluster
	// metadata. This method is the same as Client.Topics(), and is provided for
	// convenience.
	Topics() ([]string, error)

	// Partitions returns the sorted list of all partition IDs for the given topic.
	// This method is the same as Client.Partitions(), and is provided for convenience.
	Partitions(topic string) ([]int32, error)

	// ConsumePartition creates a PartitionConsumer on the given topic/partition with
	// the given offset. It will return an error if this Consumer is already consuming
	// on the given topic/partition. Offset can be a literal offset, or OffsetNewest
	// or OffsetOldest
	ConsumePartition(topic string, partition int32, offset int64) (PartitionConsumer, error)

	// HighWaterMarks returns the current high water marks for each topic and partition.
	// Consistency between partitions is not guaranteed since high water marks are updated separately.
	HighWaterMarks() map[string]map[int32]int64

	// Close shuts down the consumer. It must be called after all child
	// PartitionConsumers have already been closed.
	Close() error
}

Consumer manages PartitionConsumers which process Kafka messages from brokers. You MUST call Close() on a consumer to avoid leaks, it will not be garbage-collected automatically when it passes out of scope.

Sarama's Consumer type does not currently support automatic consumer-group rebalancing and offset tracking. For Zookeeper-based tracking (Kafka 0.8.2 and earlier), the https://github.com/wvanbergen/kafka library builds on Sarama to add this support. For Kafka-based tracking (Kafka 0.9 and later), the https://github.com/bsm/sarama-cluster library builds on Sarama to add this support.

Example

This example shows how to use the consumer to read messages from a single partition. 

consumer, err := NewConsumer([]string{"localhost:9092"}, nil)
if err != nil {
	panic(err)
}

defer func() {
	if err := consumer.Close(); err != nil {
		log.Fatalln(err)
	}
}()

partitionConsumer, err := consumer.ConsumePartition("my_topic", 0, OffsetNewest)
if err != nil {
	panic(err)
}

defer func() {
	if err := partitionConsumer.Close(); err != nil {
		log.Fatalln(err)
	}
}()

// Trap SIGINT to trigger a shutdown.
signals := make(chan os.Signal, 1)
signal.Notify(signals, os.Interrupt)

consumed := 0
ConsumerLoop:
for {
	select {
	case msg := <-partitionConsumer.Messages():
		log.Printf("Consumed message offset %d\n", msg.Offset)
		consumed++
	case <-signals:
		break ConsumerLoop
	}
}

log.Printf("Consumed: %d\n", consumed)

Output:

func NewConsumer 

func NewConsumer(addrs []string, config *Config) (Consumer, error)

NewConsumer creates a new consumer using the given broker addresses and configuration.

func NewConsumerFromClient 

func NewConsumerFromClient(client Client) (Consumer, error)

NewConsumerFromClient creates a new consumer using the given client. It is still necessary to call Close() on the underlying client when shutting down this consumer.

type ConsumerError 

type ConsumerError struct {
	Topic     string
	Partition int32
	Err       error
}

ConsumerError is what is provided to the user when an error occurs. It wraps an error and includes the topic and partition.

func (ConsumerError) Error 

func (ce ConsumerError) Error() string

type ConsumerErrors 

type ConsumerErrors []*ConsumerError

ConsumerErrors is a type that wraps a batch of errors and implements the Error interface. It can be returned from the PartitionConsumer's Close methods to avoid the need to manually drain errors when stopping.

func (ConsumerErrors) Error 

func (ce ConsumerErrors) Error() string

type ConsumerGroupMemberAssignment 

type ConsumerGroupMemberAssignment struct {
	Version  int16
	Topics   map[string][]int32
	UserData []byte
}

type ConsumerGroupMemberMetadata 

type ConsumerGroupMemberMetadata struct {
	Version  int16
	Topics   []string
	UserData []byte
}

type ConsumerMessage 

type ConsumerMessage struct {
	Key, Value     []byte
	Topic          string
	Partition      int32
	Offset         int64
	Timestamp      time.Time       // only set if kafka is version 0.10+, inner message timestamp
	BlockTimestamp time.Time       // only set if kafka is version 0.10+, outer (compressed) block timestamp
	Headers        []*RecordHeader // only set if kafka is version 0.11+
}

ConsumerMessage encapsulates a Kafka message returned by the consumer.

type ConsumerMetadataRequest 

type ConsumerMetadataRequest struct {
	ConsumerGroup string
}

type ConsumerMetadataResponse 

type ConsumerMetadataResponse struct {
	Err             KError
	Coordinator     *Broker
	CoordinatorID   int32  // deprecated: use Coordinator.ID()
	CoordinatorHost string // deprecated: use Coordinator.Addr()
	CoordinatorPort int32  // deprecated: use Coordinator.Addr()
}

type DescribeGroupsRequest 

type DescribeGroupsRequest struct {
	Groups []string
}

func (*DescribeGroupsRequest) AddGroup 

func (r *DescribeGroupsRequest) AddGroup(group string)

type DescribeGroupsResponse 

type DescribeGroupsResponse struct {
	Groups []*GroupDescription
}

type Encoder 

type Encoder interface {
	Encode() ([]byte, error)
	Length() int
}

Encoder is a simple interface for any type that can be encoded as an array of bytes in order to be sent as the key or value of a Kafka message. Length() is provided as an optimization, and must return the same as len() on the result of Encode().

type FetchRequest 

type FetchRequest struct {
	MaxWaitTime int32
	MinBytes    int32
	MaxBytes    int32
	Version     int16
	Isolation   IsolationLevel
	// contains filtered or unexported fields
}

FetchRequest (API key 1) will fetch Kafka messages. Version 3 introduced the MaxBytes field. See https://issues.apache.org/jira/browse/KAFKA-2063 for a discussion of the issues leading up to that. The KIP is at https://cwiki.apache.org/confluence/display/KAFKA/KIP-74%3A+Add+Fetch+Response+Size+Limit+in+Bytes

func (*FetchRequest) AddBlock 

func (r *FetchRequest) AddBlock(topic string, partitionID int32, fetchOffset int64, maxBytes int32)

type FetchResponse 

type FetchResponse struct {
	Blocks       map[string]map[int32]*FetchResponseBlock
	ThrottleTime time.Duration
	Version      int16 // v1 requires 0.9+, v2 requires 0.10+
}

func (*FetchResponse) AddError 

func (r *FetchResponse) AddError(topic string, partition int32, err KError)

func (*FetchResponse) AddMessage 

func (r *FetchResponse) AddMessage(topic string, partition int32, key, value Encoder, offset int64)

func (*FetchResponse) AddRecord added in v1.14.0 

func (r *FetchResponse) AddRecord(topic string, partition int32, key, value Encoder, offset int64)

func (*FetchResponse) GetBlock 

func (r *FetchResponse) GetBlock(topic string, partition int32) *FetchResponseBlock

func (*FetchResponse) SetLastStableOffset added in v1.14.0 

func (r *FetchResponse) SetLastStableOffset(topic string, partition int32, offset int64)

type FetchResponseBlock 

type FetchResponseBlock struct {
	Err                 KError
	HighWaterMarkOffset int64
	LastStableOffset    int64
	AbortedTransactions []*AbortedTransaction
	Records             Records
}

type GroupDescription 

type GroupDescription struct {
	Err          KError
	GroupId      string
	State        string
	ProtocolType string
	Protocol     string
	Members      map[string]*GroupMemberDescription
}

type GroupMemberDescription 

type GroupMemberDescription struct {
	ClientId         string
	ClientHost       string
	MemberMetadata   []byte
	MemberAssignment []byte
}

func (*GroupMemberDescription) GetMemberAssignment 

func (gmd *GroupMemberDescription) GetMemberAssignment() (*ConsumerGroupMemberAssignment, error)

func (*GroupMemberDescription) GetMemberMetadata 

func (gmd *GroupMemberDescription) GetMemberMetadata() (*ConsumerGroupMemberMetadata, error)

type GroupProtocol 

type GroupProtocol struct {
	Name     string
	Metadata []byte
}

type HeartbeatRequest 

type HeartbeatRequest struct {
	GroupId      string
	GenerationId int32
	MemberId     string
}

type HeartbeatResponse 

type HeartbeatResponse struct {
	Err KError
}

type IsolationLevel added in v1.14.0 

type IsolationLevel int8
const (
	ReadUncommitted IsolationLevel = 0
	ReadCommitted   IsolationLevel = 1
)

type JoinGroupRequest 

type JoinGroupRequest struct {
	GroupId               string
	SessionTimeout        int32
	MemberId              string
	ProtocolType          string
	GroupProtocols        map[string][]byte // deprecated; use OrderedGroupProtocols
	OrderedGroupProtocols []*GroupProtocol
}

func (*JoinGroupRequest) AddGroupProtocol 

func (r *JoinGroupRequest) AddGroupProtocol(name string, metadata []byte)

func (*JoinGroupRequest) AddGroupProtocolMetadata 

func (r *JoinGroupRequest) AddGroupProtocolMetadata(name string, metadata *ConsumerGroupMemberMetadata) error

type JoinGroupResponse 

type JoinGroupResponse struct {
	Err           KError
	GenerationId  int32
	GroupProtocol string
	LeaderId      string
	MemberId      string
	Members       map[string][]byte
}

func (*JoinGroupResponse) GetMembers 

func (r *JoinGroupResponse) GetMembers() (map[string]ConsumerGroupMemberMetadata, error)

type KError 

type KError int16

KError is the type of error that can be returned directly by the Kafka broker. See https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-ErrorCodes 

const (
	ErrNoError                         KError = 0
	ErrUnknown                         KError = -1
	ErrOffsetOutOfRange                KError = 1
	ErrInvalidMessage                  KError = 2
	ErrUnknownTopicOrPartition         KError = 3
	ErrInvalidMessageSize              KError = 4
	ErrLeaderNotAvailable              KError = 5
	ErrNotLeaderForPartition           KError = 6
	ErrRequestTimedOut                 KError = 7
	ErrBrokerNotAvailable              KError = 8
	ErrReplicaNotAvailable             KError = 9
	ErrMessageSizeTooLarge             KError = 10
	ErrStaleControllerEpochCode        KError = 11
	ErrOffsetMetadataTooLarge          KError = 12
	ErrNetworkException                KError = 13
	ErrOffsetsLoadInProgress           KError = 14
	ErrConsumerCoordinatorNotAvailable KError = 15
	ErrNotCoordinatorForConsumer       KError = 16
	ErrInvalidTopic                    KError = 17
	ErrMessageSetSizeTooLarge          KError = 18
	ErrNotEnoughReplicas               KError = 19
	ErrNotEnoughReplicasAfterAppend    KError = 20
	ErrInvalidRequiredAcks             KError = 21
	ErrIllegalGeneration               KError = 22
	ErrInconsistentGroupProtocol       KError = 23
	ErrInvalidGroupId                  KError = 24
	ErrUnknownMemberId                 KError = 25
	ErrInvalidSessionTimeout           KError = 26
	ErrRebalanceInProgress             KError = 27
	ErrInvalidCommitOffsetSize         KError = 28
	ErrTopicAuthorizationFailed        KError = 29
	ErrGroupAuthorizationFailed        KError = 30
	ErrClusterAuthorizationFailed      KError = 31
	ErrInvalidTimestamp                KError = 32
	ErrUnsupportedSASLMechanism        KError = 33
	ErrIllegalSASLState                KError = 34
	ErrUnsupportedVersion              KError = 35
	ErrTopicAlreadyExists              KError = 36
	ErrInvalidPartitions               KError = 37
	ErrInvalidReplicationFactor        KError = 38
	ErrInvalidReplicaAssignment        KError = 39
	ErrInvalidConfig                   KError = 40
	ErrNotController                   KError = 41
	ErrInvalidRequest                  KError = 42
	ErrUnsupportedForMessageFormat     KError = 43
	ErrPolicyViolation                 KError = 44
)

Numeric error codes returned by the Kafka server.

func (KError) Error 

func (err KError) Error() string

type KafkaVersion 

type KafkaVersion struct {
	// contains filtered or unexported fields
}

KafkaVersion instances represent versions of the upstream Kafka broker.

func (KafkaVersion) IsAtLeast 

func (v KafkaVersion) IsAtLeast(other KafkaVersion) bool

IsAtLeast return true if and only if the version it is called on is greater than or equal to the version passed in: 

V1.IsAtLeast(V2) // false
V2.IsAtLeast(V1) // true

type LeaveGroupRequest 

type LeaveGroupRequest struct {
	GroupId  string
	MemberId string
}

type LeaveGroupResponse 

type LeaveGroupResponse struct {
	Err KError
}

type ListGroupsRequest 

type ListGroupsRequest struct {
}

type ListGroupsResponse 

type ListGroupsResponse struct {
	Err    KError
	Groups map[string]string
}

type Message 

type Message struct {
	Codec     CompressionCodec // codec used to compress the message contents
	Key       []byte           // the message key, may be nil
	Value     []byte           // the message contents
	Set       *MessageSet      // the message set a message might wrap
	Version   int8             // v1 requires Kafka 0.10
	Timestamp time.Time        // the timestamp of the message (version 1+ only)
	// contains filtered or unexported fields
}

type MessageBlock 

type MessageBlock struct {
	Offset int64
	Msg    *Message
}

func (*MessageBlock) Messages 

func (msb *MessageBlock) Messages() []*MessageBlock

Messages convenience helper which returns either all the messages that are wrapped in this block

type MessageSet 

type MessageSet struct {
	PartialTrailingMessage bool // whether the set on the wire contained an incomplete trailing MessageBlock
	Messages               []*MessageBlock
}

type MetadataRequest 

type MetadataRequest struct {
	Topics []string
}

type MetadataResponse 

type MetadataResponse struct {
	Brokers []*Broker
	Topics  []*TopicMetadata
}

func (*MetadataResponse) AddBroker 

func (r *MetadataResponse) AddBroker(addr string, id int32)

func (*MetadataResponse) AddTopic 

func (r *MetadataResponse) AddTopic(topic string, err KError) *TopicMetadata

func (*MetadataResponse) AddTopicPartition 

func (r *MetadataResponse) AddTopicPartition(topic string, partition, brokerID int32, replicas, isr []int32, err KError)

type MockBroker 

type MockBroker struct {
	// contains filtered or unexported fields
}

MockBroker is a mock Kafka broker that is used in unit tests. It is exposed to facilitate testing of higher level or specialized consumers and producers built on top of Sarama. Note that it does not 'mimic' the Kafka API protocol, but rather provides a facility to do that. It takes care of the TCP transport, request unmarshaling, response marshaling, and makes it the test writer responsibility to program correct according to the Kafka API protocol MockBroker behaviour.

MockBroker is implemented as a TCP server listening on a kernel-selected localhost port that can accept many connections. It reads Kafka requests from that connection and returns responses programmed by the SetHandlerByMap function. If a MockBroker receives a request that it has no programmed response for, then it returns nothing and the request times out.

A set of MockRequest builders to define mappings used by MockBroker is provided by Sarama. But users can develop MockRequests of their own and use them along with or instead of the standard ones.

When running tests with MockBroker it is strongly recommended to specify a timeout to `go test` so that if the broker hangs waiting for a response, the test panics.

It is not necessary to prefix message length or correlation ID to your response bytes, the server does that automatically as a convenience.

func NewMockBroker 

func NewMockBroker(t TestReporter, brokerID int32) *MockBroker

NewMockBroker launches a fake Kafka broker. It takes a TestReporter as provided by the test framework and a channel of responses to use. If an error occurs it is simply logged to the TestReporter and the broker exits.

func NewMockBrokerAddr 

func NewMockBrokerAddr(t TestReporter, brokerID int32, addr string) *MockBroker

NewMockBrokerAddr behaves like newMockBroker but listens on the address you give it rather than just some ephemeral port.

func (*MockBroker) Addr 

func (b *MockBroker) Addr() string

Addr returns the broker connection string in the form "<address>:<port>".

func (*MockBroker) BrokerID 

func (b *MockBroker) BrokerID() int32

BrokerID returns broker ID assigned to the broker.

func (*MockBroker) Close 

func (b *MockBroker) Close()

Close terminates the broker blocking until it stops internal goroutines and releases all resources.

func (*MockBroker) History 

func (b *MockBroker) History() []RequestResponse

History returns a slice of RequestResponse pairs in the order they were processed by the broker. Note that in case of multiple connections to the broker the order expected by a test can be different from the order recorded in the history, unless some synchronization is implemented in the test.

func (*MockBroker) Port 

func (b *MockBroker) Port() int32

Port returns the TCP port number the broker is listening for requests on.

func (*MockBroker) Returns 

func (b *MockBroker) Returns(e encoder)

func (*MockBroker) SetHandlerByMap 

func (b *MockBroker) SetHandlerByMap(handlerMap map[string]MockResponse)

SetHandlerByMap defines mapping of Request types to MockResponses. When a request is received by the broker, it looks up the request type in the map and uses the found MockResponse instance to generate an appropriate reply. If the request type is not found in the map then nothing is sent.

func (*MockBroker) SetLatency 

func (b *MockBroker) SetLatency(latency time.Duration)

SetLatency makes broker pause for the specified period every time before replying.

func (*MockBroker) SetNotifier 

func (b *MockBroker) SetNotifier(notifier RequestNotifierFunc)

SetNotifier set a function that will get invoked whenever a request has been processed successfully and will provide the number of bytes read and written

type MockConsumerMetadataResponse 

type MockConsumerMetadataResponse struct {
	// contains filtered or unexported fields
}

MockConsumerMetadataResponse is a `ConsumerMetadataResponse` builder.

func NewMockConsumerMetadataResponse 

func NewMockConsumerMetadataResponse(t TestReporter) *MockConsumerMetadataResponse

func (*MockConsumerMetadataResponse) For 

func (mr *MockConsumerMetadataResponse) For(reqBody versionedDecoder) encoder

func (*MockConsumerMetadataResponse) SetCoordinator 

func (mr *MockConsumerMetadataResponse) SetCoordinator(group string, broker *MockBroker) *MockConsumerMetadataResponse

func (*MockConsumerMetadataResponse) SetError 

func (mr *MockConsumerMetadataResponse) SetError(group string, kerror KError) *MockConsumerMetadataResponse

type MockFetchResponse 

type MockFetchResponse struct {
	// contains filtered or unexported fields
}

MockFetchResponse is a `FetchResponse` builder.

func NewMockFetchResponse 

func NewMockFetchResponse(t TestReporter, batchSize int) *MockFetchResponse

func (*MockFetchResponse) For 

func (mfr *MockFetchResponse) For(reqBody versionedDecoder) encoder

func (*MockFetchResponse) SetHighWaterMark 

func (mfr *MockFetchResponse) SetHighWaterMark(topic string, partition int32, offset int64) *MockFetchResponse

func (*MockFetchResponse) SetMessage 

func (mfr *MockFetchResponse) SetMessage(topic string, partition int32, offset int64, msg Encoder) *MockFetchResponse

func (*MockFetchResponse) SetVersion added in v1.13.0 

func (mfr *MockFetchResponse) SetVersion(version int16) *MockFetchResponse

type MockMetadataResponse 

type MockMetadataResponse struct {
	// contains filtered or unexported fields
}

MockMetadataResponse is a `MetadataResponse` builder.

func NewMockMetadataResponse 

func NewMockMetadataResponse(t TestReporter) *MockMetadataResponse

func (*MockMetadataResponse) For 

func (mmr *MockMetadataResponse) For(reqBody versionedDecoder) encoder

func (*MockMetadataResponse) SetBroker 

func (mmr *MockMetadataResponse) SetBroker(addr string, brokerID int32) *MockMetadataResponse

func (*MockMetadataResponse) SetLeader 

func (mmr *MockMetadataResponse) SetLeader(topic string, partition, brokerID int32) *MockMetadataResponse

type MockOffsetCommitResponse 

type MockOffsetCommitResponse struct {
	// contains filtered or unexported fields
}

MockOffsetCommitResponse is a `OffsetCommitResponse` builder.

func NewMockOffsetCommitResponse 

func NewMockOffsetCommitResponse(t TestReporter) *MockOffsetCommitResponse

func (*MockOffsetCommitResponse) For 

func (mr *MockOffsetCommitResponse) For(reqBody versionedDecoder) encoder

func (*MockOffsetCommitResponse) SetError 

func (mr *MockOffsetCommitResponse) SetError(group, topic string, partition int32, kerror KError) *MockOffsetCommitResponse

type MockOffsetFetchResponse 

type MockOffsetFetchResponse struct {
	// contains filtered or unexported fields
}

MockOffsetFetchResponse is a `OffsetFetchResponse` builder.

func NewMockOffsetFetchResponse 

func NewMockOffsetFetchResponse(t TestReporter) *MockOffsetFetchResponse

func (*MockOffsetFetchResponse) For 

func (mr *MockOffsetFetchResponse) For(reqBody versionedDecoder) encoder

func (*MockOffsetFetchResponse) SetOffset 

func (mr *MockOffsetFetchResponse) SetOffset(group, topic string, partition int32, offset int64, metadata string, kerror KError) *MockOffsetFetchResponse

type MockOffsetResponse 

type MockOffsetResponse struct {
	// contains filtered or unexported fields
}

MockOffsetResponse is an `OffsetResponse` builder.

func NewMockOffsetResponse 

func NewMockOffsetResponse(t TestReporter) *MockOffsetResponse

func (*MockOffsetResponse) For 

func (mor *MockOffsetResponse) For(reqBody versionedDecoder) encoder

func (*MockOffsetResponse) SetOffset 

func (mor *MockOffsetResponse) SetOffset(topic string, partition int32, time, offset int64) *MockOffsetResponse

func (*MockOffsetResponse) SetVersion added in v1.14.0 

func (mor *MockOffsetResponse) SetVersion(version int16) *MockOffsetResponse

type MockProduceResponse 

type MockProduceResponse struct {
	// contains filtered or unexported fields
}

MockProduceResponse is a `ProduceResponse` builder.

func NewMockProduceResponse 

func NewMockProduceResponse(t TestReporter) *MockProduceResponse

func (*MockProduceResponse) For 

func (mr *MockProduceResponse) For(reqBody versionedDecoder) encoder

func (*MockProduceResponse) SetError 

func (mr *MockProduceResponse) SetError(topic string, partition int32, kerror KError) *MockProduceResponse

type MockResponse 

type MockResponse interface {
	For(reqBody versionedDecoder) (res encoder)
}

MockResponse is a response builder interface it defines one method that allows generating a response based on a request body. MockResponses are used to program behavior of MockBroker in tests.

type MockSequence 

type MockSequence struct {
	// contains filtered or unexported fields
}

MockSequence is a mock response builder that is created from a sequence of concrete responses. Every time when a `MockBroker` calls its `For` method the next response from the sequence is returned. When the end of the sequence is reached the last element from the sequence is returned.

func NewMockSequence 

func NewMockSequence(responses ...interface{}) *MockSequence

func (*MockSequence) For 

func (mc *MockSequence) For(reqBody versionedDecoder) (res encoder)

type MockWrapper 

type MockWrapper struct {
	// contains filtered or unexported fields
}

MockWrapper is a mock response builder that returns a particular concrete response regardless of the actual request passed to the `For` method.

func NewMockWrapper 

func NewMockWrapper(res encoder) *MockWrapper

func (*MockWrapper) For 

func (mw *MockWrapper) For(reqBody versionedDecoder) (res encoder)

type OffsetCommitRequest 

type OffsetCommitRequest struct {
	ConsumerGroup           string
	ConsumerGroupGeneration int32  // v1 or later
	ConsumerID              string // v1 or later
	RetentionTime           int64  // v2 or later

	// Version can be:
	// - 0 (kafka 0.8.1 and later)
	// - 1 (kafka 0.8.2 and later)
	// - 2 (kafka 0.9.0 and later)
	Version int16
	// contains filtered or unexported fields
}

func (*OffsetCommitRequest) AddBlock 

func (r *OffsetCommitRequest) AddBlock(topic string, partitionID int32, offset int64, timestamp int64, metadata string)

type OffsetCommitResponse 

type OffsetCommitResponse struct {
	Errors map[string]map[int32]KError
}

func (*OffsetCommitResponse) AddError 

func (r *OffsetCommitResponse) AddError(topic string, partition int32, kerror KError)

type OffsetFetchRequest 

type OffsetFetchRequest struct {
	ConsumerGroup string
	Version       int16
	// contains filtered or unexported fields
}

func (*OffsetFetchRequest) AddPartition 

func (r *OffsetFetchRequest) AddPartition(topic string, partitionID int32)

type OffsetFetchResponse 

type OffsetFetchResponse struct {
	Blocks map[string]map[int32]*OffsetFetchResponseBlock
}

func (*OffsetFetchResponse) AddBlock 

func (r *OffsetFetchResponse) AddBlock(topic string, partition int32, block *OffsetFetchResponseBlock)

func (*OffsetFetchResponse) GetBlock 

func (r *OffsetFetchResponse) GetBlock(topic string, partition int32) *OffsetFetchResponseBlock

type OffsetFetchResponseBlock 

type OffsetFetchResponseBlock struct {
	Offset   int64
	Metadata string
	Err      KError
}

type OffsetManager 

type OffsetManager interface {
	// ManagePartition creates a PartitionOffsetManager on the given topic/partition.
	// It will return an error if this OffsetManager is already managing the given
	// topic/partition.
	ManagePartition(topic string, partition int32) (PartitionOffsetManager, error)

	// Close stops the OffsetManager from managing offsets. It is required to call
	// this function before an OffsetManager object passes out of scope, as it
	// will otherwise leak memory. You must call this after all the
	// PartitionOffsetManagers are closed.
	Close() error
}

OffsetManager uses Kafka to store and fetch consumed partition offsets.

func NewOffsetManagerFromClient 

func NewOffsetManagerFromClient(group string, client Client) (OffsetManager, error)

NewOffsetManagerFromClient creates a new OffsetManager from the given client. It is still necessary to call Close() on the underlying client when finished with the partition manager.

type OffsetRequest 

type OffsetRequest struct {
	Version int16
	// contains filtered or unexported fields
}

func (*OffsetRequest) AddBlock 

func (r *OffsetRequest) AddBlock(topic string, partitionID int32, time int64, maxOffsets int32)

type OffsetResponse 

type OffsetResponse struct {
	Version int16
	Blocks  map[string]map[int32]*OffsetResponseBlock
}

func (*OffsetResponse) AddTopicPartition 

func (r *OffsetResponse) AddTopicPartition(topic string, partition int32, offset int64)

func (*OffsetResponse) GetBlock 

func (r *OffsetResponse) GetBlock(topic string, partition int32) *OffsetResponseBlock

type OffsetResponseBlock 

type OffsetResponseBlock struct {
	Err       KError
	Offsets   []int64 // Version 0
	Offset    int64   // Version 1
	Timestamp int64   // Version 1
}

type PacketDecodingError 

type PacketDecodingError struct {
	Info string
}

PacketDecodingError is returned when there was an error (other than truncated data) decoding the Kafka broker's response. This can be a bad CRC or length field, or any other invalid value.

func (PacketDecodingError) Error 

func (err PacketDecodingError) Error() string

type PacketEncodingError 

type PacketEncodingError struct {
	Info string
}

PacketEncodingError is returned from a failure while encoding a Kafka packet. This can happen, for example, if you try to encode a string over 2^15 characters in length, since Kafka's encoding rules do not permit that.

func (PacketEncodingError) Error 

func (err PacketEncodingError) Error() string

type PartitionConsumer 

type PartitionConsumer interface {

	// AsyncClose initiates a shutdown of the PartitionConsumer. This method will return immediately, after which you
	// should continue to service the 'Messages' and 'Errors' channels until they are empty. It is required to call this
	// function, or Close before a consumer object passes out of scope, as it will otherwise leak memory. You must call
	// this before calling Close on the underlying client.
	AsyncClose()

	// Close stops the PartitionConsumer from fetching messages. It will initiate a shutdown just like AsyncClose, drain
	// the Messages channel, harvest any errors & return them to the caller. Note that if you are continuing to service
	// the Messages channel when this function is called, you will be competing with Close for messages; consider
	// calling AsyncClose, instead. It is required to call this function (or AsyncClose) before a consumer object passes
	// out of scope, as it will otherwise leak memory. You must call this before calling Close on the underlying client.
	Close() error

	// Messages returns the read channel for the messages that are returned by
	// the broker.
	Messages() <-chan *ConsumerMessage

	// Errors returns a read channel of errors that occurred during consuming, if
	// enabled. By default, errors are logged and not returned over this channel.
	// If you want to implement any custom error handling, set your config's
	// Consumer.Return.Errors setting to true, and read from this channel.
	Errors() <-chan *ConsumerError

	// HighWaterMarkOffset returns the high water mark offset of the partition,
	// i.e. the offset that will be used for the next message that will be produced.
	// You can use this to determine how far behind the processing is.
	HighWaterMarkOffset() int64
}

PartitionConsumer processes Kafka messages from a given topic and partition. You MUST call one of Close() or AsyncClose() on a PartitionConsumer to avoid leaks; it will not be garbage-collected automatically when it passes out of scope.

The simplest way of using a PartitionConsumer is to loop over its Messages channel using a for/range loop. The PartitionConsumer will only stop itself in one case: when the offset being consumed is reported as out of range by the brokers. In this case you should decide what you want to do (try a different offset, notify a human, etc) and handle it appropriately. For all other error cases, it will just keep retrying. By default, it logs these errors to sarama.Logger; if you want to be notified directly of all errors, set your config's Consumer.Return.Errors to true and read from the Errors channel, using a select statement or a separate goroutine. Check out the Consumer examples to see implementations of these different approaches.

To terminate such a for/range loop while the loop is executing, call AsyncClose. This will kick off the process of consumer tear-down & return imediately. Continue to loop, servicing the Messages channel until the teardown process AsyncClose initiated closes it (thus terminating the for/range loop). If you've already ceased reading Messages, call Close; this will signal the PartitionConsumer's goroutines to begin shutting down (just like AsyncClose), but will also drain the Messages channel, harvest all errors & return them once cleanup has completed.

type PartitionMetadata 

type PartitionMetadata struct {
	Err      KError
	ID       int32
	Leader   int32
	Replicas []int32
	Isr      []int32
}

type PartitionOffsetManager 

type PartitionOffsetManager interface {
	// NextOffset returns the next offset that should be consumed for the managed
	// partition, accompanied by metadata which can be used to reconstruct the state
	// of the partition consumer when it resumes. NextOffset() will return
	// `config.Consumer.Offsets.Initial` and an empty metadata string if no offset
	// was committed for this partition yet.
	NextOffset() (int64, string)

	// MarkOffset marks the provided offset, alongside a metadata string
	// that represents the state of the partition consumer at that point in time. The
	// metadata string can be used by another consumer to restore that state, so it
	// can resume consumption.
	//
	// To follow upstream conventions, you are expected to mark the offset of the
	// next message to read, not the last message read. Thus, when calling `MarkOffset`
	// you should typically add one to the offset of the last consumed message.
	//
	// Note: calling MarkOffset does not necessarily commit the offset to the backend
	// store immediately for efficiency reasons, and it may never be committed if
	// your application crashes. This means that you may end up processing the same
	// message twice, and your processing should ideally be idempotent.
	MarkOffset(offset int64, metadata string)

	// ResetOffset resets to the provided offset, alongside a metadata string that
	// represents the state of the partition consumer at that point in time. Reset
	// acts as a counterpart to MarkOffset, the difference being that it allows to
	// reset an offset to an earlier or smaller value, where MarkOffset only
	// allows incrementing the offset. cf MarkOffset for more details.
	ResetOffset(offset int64, metadata string)

	// Errors returns a read channel of errors that occur during offset management, if
	// enabled. By default, errors are logged and not returned over this channel. If
	// you want to implement any custom error handling, set your config's
	// Consumer.Return.Errors setting to true, and read from this channel.
	Errors() <-chan *ConsumerError

	// AsyncClose initiates a shutdown of the PartitionOffsetManager. This method will
	// return immediately, after which you should wait until the 'errors' channel has
	// been drained and closed. It is required to call this function, or Close before
	// a consumer object passes out of scope, as it will otherwise leak memory. You
	// must call this before calling Close on the underlying client.
	AsyncClose()

	// Close stops the PartitionOffsetManager from managing offsets. It is required to
	// call this function (or AsyncClose) before a PartitionOffsetManager object
	// passes out of scope, as it will otherwise leak memory. You must call this
	// before calling Close on the underlying client.
	Close() error
}

PartitionOffsetManager uses Kafka to store and fetch consumed partition offsets. You MUST call Close() on a partition offset manager to avoid leaks, it will not be garbage-collected automatically when it passes out of scope.

type Partitioner 

type Partitioner interface {
	// Partition takes a message and partition count and chooses a partition
	Partition(message *ProducerMessage, numPartitions int32) (int32, error)

	// 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
}

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.

Example (Manual)

This example shows how to assign partitions to your messages manually. 

config := NewConfig()

// First, we tell the producer that we are going to partition ourselves.
config.Producer.Partitioner = NewManualPartitioner

producer, err := NewSyncProducer([]string{"localhost:9092"}, config)
if err != nil {
	log.Fatal(err)
}
defer func() {
	if err := producer.Close(); err != nil {
		log.Println("Failed to close producer:", err)
	}
}()

// Now, we set the Partition field of the ProducerMessage struct.
msg := &ProducerMessage{Topic: "test", Partition: 6, Value: StringEncoder("test")}

partition, offset, err := producer.SendMessage(msg)
if err != nil {
	log.Fatalln("Failed to produce message to kafka cluster.")
}

if partition != 6 {
	log.Fatal("Message should have been produced to partition 6!")
}

log.Printf("Produced message to partition %d with offset %d", partition, offset)

Output:
Example (Per_topic)

This example shows how to set a different partitioner depending on the topic. 

config := NewConfig()
config.Producer.Partitioner = func(topic string) Partitioner {
	switch topic {
	case "access_log", "error_log":
		return NewRandomPartitioner(topic)

	default:
		return NewHashPartitioner(topic)
	}
}

// ...

Output:
Example (Random)

By default, Sarama uses the message's key to consistently assign a partition to a message using hashing. If no key is set, a random partition will be chosen. This example shows how you can partition messages randomly, even when a key is set, by overriding Config.Producer.Partitioner. 

config := NewConfig()
config.Producer.Partitioner = NewRandomPartitioner

producer, err := NewSyncProducer([]string{"localhost:9092"}, config)
if err != nil {
	log.Fatal(err)
}
defer func() {
	if err := producer.Close(); err != nil {
		log.Println("Failed to close producer:", err)
	}
}()

msg := &ProducerMessage{Topic: "test", Key: StringEncoder("key is set"), Value: StringEncoder("test")}
partition, offset, err := producer.SendMessage(msg)
if err != nil {
	log.Fatalln("Failed to produce message to kafka cluster.")
}

log.Printf("Produced message to partition %d with offset %d", partition, offset)

Output:

func NewHashPartitioner 

func NewHashPartitioner(topic string) Partitioner

NewHashPartitioner returns a Partitioner which behaves as follows. If the message's key is nil 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 NewManualPartitioner 

func NewManualPartitioner(topic string) Partitioner

NewManualPartitioner returns a Partitioner which uses the partition manually set in the provided ProducerMessage's Partition field as the partition to produce to.

func NewRandomPartitioner 

func NewRandomPartitioner(topic string) Partitioner

NewRandomPartitioner returns a Partitioner which chooses a random partition each time.

func NewRoundRobinPartitioner 

func NewRoundRobinPartitioner(topic string) Partitioner

NewRoundRobinPartitioner returns a Partitioner which walks through the available partitions one at a time.

type PartitionerConstructor 

type PartitionerConstructor func(topic string) Partitioner

PartitionerConstructor is the type for a function capable of constructing new Partitioners.

func NewCustomHashPartitioner 

func NewCustomHashPartitioner(hasher func() hash.Hash32) PartitionerConstructor

NewCustomHashPartitioner is a wrapper around NewHashPartitioner, allowing the use of custom hasher. The argument is a function providing the instance, implementing the hash.Hash32 interface. This is to ensure that each partition dispatcher gets its own hasher, to avoid concurrency issues by sharing an instance.

type ProduceRequest 

type ProduceRequest struct {
	TransactionalID *string
	RequiredAcks    RequiredAcks
	Timeout         int32
	Version         int16 // v1 requires Kafka 0.9, v2 requires Kafka 0.10, v3 requires Kafka 0.11
	// contains filtered or unexported fields
}

func (*ProduceRequest) AddBatch added in v1.14.0 

func (r *ProduceRequest) AddBatch(topic string, partition int32, batch *RecordBatch)

func (*ProduceRequest) AddMessage 

func (r *ProduceRequest) AddMessage(topic string, partition int32, msg *Message)

func (*ProduceRequest) AddSet 

func (r *ProduceRequest) AddSet(topic string, partition int32, set *MessageSet)

type ProduceResponse 

type ProduceResponse struct {
	Blocks       map[string]map[int32]*ProduceResponseBlock
	Version      int16
	ThrottleTime time.Duration // only provided if Version >= 1
}

func (*ProduceResponse) AddTopicPartition 

func (r *ProduceResponse) AddTopicPartition(topic string, partition int32, err KError)

func (*ProduceResponse) GetBlock 

func (r *ProduceResponse) GetBlock(topic string, partition int32) *ProduceResponseBlock

type ProduceResponseBlock 

type ProduceResponseBlock struct {
	Err    KError
	Offset int64
	// only provided if Version >= 2 and the broker is configured with `LogAppendTime`
	Timestamp time.Time
}

type ProducerError 

type ProducerError struct {
	Msg *ProducerMessage
	Err error
}

ProducerError is the type of error generated when the producer fails to deliver a message. It contains the original ProducerMessage as well as the actual error value.

func (ProducerError) Error 

func (pe ProducerError) Error() string

type ProducerErrors 

type ProducerErrors []*ProducerError

ProducerErrors is a type that wraps a batch of "ProducerError"s and implements the Error interface. It can be returned from the Producer's Close method to avoid the need to manually drain the Errors channel when closing a producer.

func (ProducerErrors) Error 

func (pe ProducerErrors) Error() string

type ProducerMessage 

type ProducerMessage struct {
	Topic string // The Kafka topic for this message.
	// The partitioning key for this message. Pre-existing Encoders include
	// StringEncoder and ByteEncoder.
	Key Encoder
	// The actual message to store in Kafka. Pre-existing Encoders include
	// StringEncoder and ByteEncoder.
	Value Encoder

	// The headers are key-value pairs that are transparently passed
	// by Kafka between producers and consumers.
	Headers []RecordHeader

	// This field is used to hold arbitrary data you wish to include so it
	// will be available when receiving on the Successes and Errors channels.
	// Sarama completely ignores this field and is only to be used for
	// pass-through data.
	Metadata interface{}

	// Offset is the offset of the message stored on the broker. This is only
	// guaranteed to be defined if the message was successfully delivered and
	// RequiredAcks is not NoResponse.
	Offset int64
	// Partition is the partition that the message was sent to. This is only
	// guaranteed to be defined if the message was successfully delivered.
	Partition int32
	// Timestamp is the timestamp assigned to the message by the broker. This
	// is only guaranteed to be defined if the message was successfully
	// delivered, RequiredAcks is not NoResponse, and the Kafka broker is at
	// least version 0.10.0.
	Timestamp time.Time
	// contains filtered or unexported fields
}

ProducerMessage is the collection of elements passed to the Producer in order to send a message.

type Record added in v1.14.0 

type Record struct {
	Attributes     int8
	TimestampDelta time.Duration
	OffsetDelta    int64
	Key            []byte
	Value          []byte
	Headers        []*RecordHeader
	// contains filtered or unexported fields
}

type RecordBatch added in v1.14.0 

type RecordBatch struct {
	FirstOffset           int64
	PartitionLeaderEpoch  int32
	Version               int8
	Codec                 CompressionCodec
	Control               bool
	LastOffsetDelta       int32
	FirstTimestamp        time.Time
	MaxTimestamp          time.Time
	ProducerID            int64
	ProducerEpoch         int16
	FirstSequence         int32
	Records               []*Record
	PartialTrailingRecord bool
	// contains filtered or unexported fields
}

type RecordHeader added in v1.14.0 

type RecordHeader struct {
	Key   []byte
	Value []byte
}

type Records added in v1.14.0 

type Records struct {
	// contains filtered or unexported fields
}

Records implements a union type containing either a RecordBatch or a legacy MessageSet.

type RequestNotifierFunc 

type RequestNotifierFunc func(bytesRead, bytesWritten int)

RequestNotifierFunc is invoked when a mock broker processes a request successfully and will provides the number of bytes read and written.

type RequestResponse 

type RequestResponse struct {
	Request  protocolBody
	Response encoder
}

RequestResponse represents a Request/Response pair processed by MockBroker.

type RequiredAcks 

type RequiredAcks int16

RequiredAcks is used in Produce Requests to tell the broker how many replica acknowledgements it must see before responding. Any of the constants defined here are valid. On broker versions prior to 0.8.2.0 any other positive int16 is also valid (the broker will wait for that many acknowledgements) but in 0.8.2.0 and later this will raise an exception (it has been replaced by setting the `min.isr` value in the brokers configuration). 

const (
	// NoResponse doesn't send any response, the TCP ACK is all you get.
	NoResponse RequiredAcks = 0
	// WaitForLocal waits for only the local commit to succeed before responding.
	WaitForLocal RequiredAcks = 1
	// WaitForAll waits for all in-sync replicas to commit before responding.
	// The minimum number of in-sync replicas is configured on the broker via
	// the `min.insync.replicas` configuration key.
	WaitForAll RequiredAcks = -1
)

type SaslHandshakeRequest 

type SaslHandshakeRequest struct {
	Mechanism string
}

type SaslHandshakeResponse 

type SaslHandshakeResponse struct {
	Err               KError
	EnabledMechanisms []string
}

type StdLogger 

type StdLogger interface {
	Print(v ...interface{})
	Printf(format string, v ...interface{})
	Println(v ...interface{})
}

StdLogger is used to log error messages. 

var Logger StdLogger = log.New(ioutil.Discard, "[Sarama] ", log.LstdFlags)

Logger is the instance of a StdLogger interface that Sarama writes connection management events to. By default it is set to discard all log messages via ioutil.Discard, but you can set it to redirect wherever you want.

type StringEncoder 

type StringEncoder string

StringEncoder implements the Encoder interface for Go strings so that they can be used as the Key or Value in a ProducerMessage.

func (StringEncoder) Encode 

func (s StringEncoder) Encode() ([]byte, error)

func (StringEncoder) Length 

func (s StringEncoder) Length() int

type SyncGroupRequest 

type SyncGroupRequest struct {
	GroupId          string
	GenerationId     int32
	MemberId         string
	GroupAssignments map[string][]byte
}

func (*SyncGroupRequest) AddGroupAssignment 

func (r *SyncGroupRequest) AddGroupAssignment(memberId string, memberAssignment []byte)

func (*SyncGroupRequest) AddGroupAssignmentMember 

func (r *SyncGroupRequest) AddGroupAssignmentMember(memberId string, memberAssignment *ConsumerGroupMemberAssignment) error

type SyncGroupResponse 

type SyncGroupResponse struct {
	Err              KError
	MemberAssignment []byte
}

func (*SyncGroupResponse) GetMemberAssignment 

func (r *SyncGroupResponse) GetMemberAssignment() (*ConsumerGroupMemberAssignment, error)

type SyncProducer 

type SyncProducer interface {

	// SendMessage produces a given message, and returns only when it either has
	// succeeded or failed to produce. It will return the partition and the offset
	// of the produced message, or an error if the message failed to produce.
	SendMessage(msg *ProducerMessage) (partition int32, offset int64, err error)

	// SendMessages produces a given set of messages, and returns only when all
	// messages in the set have either succeeded or failed. Note that messages
	// can succeed and fail individually; if some succeed and some fail,
	// SendMessages will return an error.
	SendMessages(msgs []*ProducerMessage) error

	// Close shuts down the producer and waits for any buffered messages to be
	// flushed. You must call this function before a producer object passes out of
	// scope, as it may otherwise leak memory. You must call this before calling
	// Close on the underlying client.
	Close() error
}

SyncProducer publishes Kafka messages, blocking until they have been acknowledged. It routes messages to the correct broker, refreshing metadata as appropriate, and parses responses for errors. You must call Close() on a producer to avoid leaks, it may not be garbage-collected automatically when it passes out of scope.

The SyncProducer comes with two caveats: it will generally be less efficient than the AsyncProducer, and the actual durability guarantee provided when a message is acknowledged depend on the configured value of `Producer.RequiredAcks`. There are configurations where a message acknowledged by the SyncProducer can still sometimes be lost.

For implementation reasons, the SyncProducer requires `Producer.Return.Errors` and `Producer.Return.Successes` to be set to true in its configuration.

Example

This example shows the basic usage pattern of the SyncProducer. 

producer, err := NewSyncProducer([]string{"localhost:9092"}, nil)
if err != nil {
	log.Fatalln(err)
}
defer func() {
	if err := producer.Close(); err != nil {
		log.Fatalln(err)
	}
}()

msg := &ProducerMessage{Topic: "my_topic", Value: StringEncoder("testing 123")}
partition, offset, err := producer.SendMessage(msg)
if err != nil {
	log.Printf("FAILED to send message: %s\n", err)
} else {
	log.Printf("> message sent to partition %d at offset %d\n", partition, offset)
}

Output:

func NewSyncProducer 

func NewSyncProducer(addrs []string, config *Config) (SyncProducer, error)

NewSyncProducer creates a new SyncProducer using the given broker addresses and configuration.

func NewSyncProducerFromClient 

func NewSyncProducerFromClient(client Client) (SyncProducer, error)

NewSyncProducerFromClient creates a new SyncProducer using the given client. It is still necessary to call Close() on the underlying client when shutting down this producer.

type TestReporter 

type TestReporter interface {
	Error(...interface{})
	Errorf(string, ...interface{})
	Fatal(...interface{})
	Fatalf(string, ...interface{})
}

TestReporter has methods matching go's testing.T to avoid importing `testing` in the main part of the library.

type Timestamp added in v1.14.0 

type Timestamp struct {
	*time.Time
}

type TopicMetadata 

type TopicMetadata struct {
	Err        KError
	Name       string
	Partitions []*PartitionMetadata
}

Source Files

View all Source files

Directories

Path Synopsis
examples
http_server
Package mocks provides mocks that can be used for testing applications that use Sarama.
 Package mocks provides mocks that can be used for testing applications that use Sarama.
tools
kafka-console-consumer
kafka-console-partitionconsumer
kafka-console-producer

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