io.vertx.kafka.client.consumer

Interface KafkaReadStream<K,V>

All Superinterfaces:

ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>, StreamBase

public interface KafkaReadStream<K,V>
extends ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

A ReadStream for consuming Kafka ConsumerRecord.

The pause() and resume() provides global control over reading the records from the consumer.

The pause(Set) and resume(Set) provides finer grained control over reading records for specific Topic/Partition, these are Kafka's specific operations.

Method Summary

Modifier and Type	Method and Description
Future<Void>	assign(Set<org.apache.kafka.common.TopicPartition> partitions) Manually assign a set of partitions to this consumer.
KafkaReadStream<K,V>	assign(Set<org.apache.kafka.common.TopicPartition> partitions, Handler<AsyncResult<Void>> completionHandler) Manually assign a set of partitions to this consumer.
Future<Set<org.apache.kafka.common.TopicPartition>>	assignment() Like assignment(Handler) but returns a Future of the asynchronous result
KafkaReadStream<K,V>	assignment(Handler<AsyncResult<Set<org.apache.kafka.common.TopicPartition>>> handler) Get the set of partitions currently assigned to this consumer.
KafkaReadStream<K,V>	batchHandler(Handler<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>> handler) Set the handler that will be called when a new batch of records is returned from Kafka.
Future<Map<org.apache.kafka.common.TopicPartition,Long>>	beginningOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Like beginningOffsets(Set, Handler) but returns a Future of the asynchronous result
void	beginningOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,Long>>> handler) Get the first offset for the given partitions.
Future<Long>	beginningOffsets(org.apache.kafka.common.TopicPartition topicPartition) Like beginningOffsets(TopicPartition, Handler) but returns a Future of the asynchronous result
void	beginningOffsets(org.apache.kafka.common.TopicPartition topicPartition, Handler<AsyncResult<Long>> handler) Get the first offset for the given partition.
Future<Void>	close() Close the stream
void	close(Handler<AsyncResult<Void>> completionHandler) Close the stream
Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>	commit() Commit current offsets for all the subscribed list of topics and partition.
void	commit(Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>> completionHandler) Commit current offsets for all the subscribed list of topics and partition.
Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>	commit(Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata> offsets) Commit the specified offsets for the specified list of topics and partitions to Kafka.
void	commit(Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata> offsets, Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>> completionHandler) Commit the specified offsets for the specified list of topics and partitions to Kafka.
Future<org.apache.kafka.clients.consumer.OffsetAndMetadata>	committed(org.apache.kafka.common.TopicPartition topicPartition) Like committed(TopicPartition, Handler) but returns a Future of the asynchronous result
void	committed(org.apache.kafka.common.TopicPartition topicPartition, Handler<AsyncResult<org.apache.kafka.clients.consumer.OffsetAndMetadata>> handler) Get the last committed offset for the given partition (whether the commit happened by this process or another).
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, org.apache.kafka.clients.consumer.Consumer<K,V> consumer) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, org.apache.kafka.clients.consumer.Consumer<K,V> consumer, KafkaClientOptions options) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, KafkaClientOptions options) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, KafkaClientOptions options, Class<K> keyType, Class<V> valueType) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, KafkaClientOptions options, org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer, org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Map<String,Object> config) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Map<String,Object> config, Class<K> keyType, Class<V> valueType) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Map<String,Object> config, org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer, org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Properties config) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Properties config, Class<K> keyType, Class<V> valueType) Create a new KafkaReadStream instance
static <K,V> KafkaReadStream<K,V>	create(Vertx vertx, Properties config, org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer, org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer) Create a new KafkaReadStream instance
long	demand() Returns the current demand.
KafkaReadStream<K,V>	endHandler(Handler<Void> endHandler) Set an end handler.
Future<Map<org.apache.kafka.common.TopicPartition,Long>>	endOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Like endOffsets(Set, Handler) but returns a Future of the asynchronous result
void	endOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,Long>>> handler) Get the last offset for the given partitions.
Future<Long>	endOffsets(org.apache.kafka.common.TopicPartition topicPartition) Like endOffsets(TopicPartition, Handler) but returns a Future of the asynchronous result
void	endOffsets(org.apache.kafka.common.TopicPartition topicPartition, Handler<AsyncResult<Long>> handler) Get the last offset for the given partition.
KafkaReadStream<K,V>	exceptionHandler(Handler<Throwable> handler) Set an exception handler on the read stream.
KafkaReadStream<K,V>	fetch(long amount) Fetch the specified amount of elements.
KafkaReadStream<K,V>	handler(Handler<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>> handler) Set a data handler.
Future<Map<String,List<org.apache.kafka.common.PartitionInfo>>>	listTopics() Like listTopics(Handler) but returns a Future of the asynchronous result
KafkaReadStream<K,V>	listTopics(Handler<AsyncResult<Map<String,List<org.apache.kafka.common.PartitionInfo>>>> handler) Get metadata about partitions for all topics that the user is authorized to view.
Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndTimestamp>>	offsetsForTimes(Map<org.apache.kafka.common.TopicPartition,Long> topicPartitionTimestamps) Like offsetsForTimes(Map, Handler) but returns a Future of the asynchronous result
void	offsetsForTimes(Map<org.apache.kafka.common.TopicPartition,Long> topicPartitionTimestamps, Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndTimestamp>>> handler) Look up the offsets for the given partitions by timestamp.
Future<org.apache.kafka.clients.consumer.OffsetAndTimestamp>	offsetsForTimes(org.apache.kafka.common.TopicPartition topicPartition, long timestamp) Like offsetsForTimes(TopicPartition, long, Handler) but returns a Future of the asynchronous result
void	offsetsForTimes(org.apache.kafka.common.TopicPartition topicPartition, long timestamp, Handler<AsyncResult<org.apache.kafka.clients.consumer.OffsetAndTimestamp>> handler) * Look up the offset for the given partition by timestamp.
KafkaReadStream<K,V>	partitionsAssignedHandler(Handler<Set<org.apache.kafka.common.TopicPartition>> handler) Set the handler called when topic partitions are assigned to the consumer
Future<List<org.apache.kafka.common.PartitionInfo>>	partitionsFor(String topic) Like partitionsFor(String, Handler) but returns a Future of the asynchronous result
KafkaReadStream<K,V>	partitionsFor(String topic, Handler<AsyncResult<List<org.apache.kafka.common.PartitionInfo>>> handler) Get metadata about the partitions for a given topic.
KafkaReadStream<K,V>	partitionsRevokedHandler(Handler<Set<org.apache.kafka.common.TopicPartition>> handler) Set the handler called when topic partitions are revoked to the consumer
KafkaReadStream<K,V>	pause() Pause the ReadStream, it sets the buffer in fetch mode and clears the actual demand.
Future<Void>	pause(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Suspend fetching from the requested partitions.
KafkaReadStream<K,V>	pause(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Void>> completionHandler) Suspend fetching from the requested partitions.
Future<Set<org.apache.kafka.common.TopicPartition>>	paused() Like paused(Handler) but returns a Future of the asynchronous result
void	paused(Handler<AsyncResult<Set<org.apache.kafka.common.TopicPartition>>> handler) Get the set of partitions that were previously paused by a call to pause(Set).
Future<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>>	poll(java.time.Duration timeout) Like poll(Duration, Handler) but returns a Future of the asynchronous result
void	poll(java.time.Duration timeout, Handler<AsyncResult<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>>> handler) Executes a poll for getting messages from Kafka.
KafkaReadStream<K,V>	pollTimeout(java.time.Duration timeout) Sets the poll timeout for the underlying native Kafka Consumer.
Future<Long>	position(org.apache.kafka.common.TopicPartition partition) Like position(TopicPartition, Handler) but returns a Future of the asynchronous result
void	position(org.apache.kafka.common.TopicPartition partition, Handler<AsyncResult<Long>> handler) Get the offset of the next record that will be fetched (if a record with that offset exists).
KafkaReadStream<K,V>	resume() Resume reading, and sets the buffer in flowing mode.
Future<Void>	resume(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Resume specified partitions which have been paused with pause.
KafkaReadStream<K,V>	resume(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Void>> completionHandler) Resume specified partitions which have been paused with pause.
Future<Void>	seek(org.apache.kafka.common.TopicPartition topicPartition, long offset) Overrides the fetch offsets that the consumer will use on the next poll.
KafkaReadStream<K,V>	seek(org.apache.kafka.common.TopicPartition topicPartition, long offset, Handler<AsyncResult<Void>> completionHandler) Overrides the fetch offsets that the consumer will use on the next poll.
Future<Void>	seekToBeginning(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Seek to the first offset for each of the given partitions.
KafkaReadStream<K,V>	seekToBeginning(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Void>> completionHandler) Seek to the first offset for each of the given partitions.
Future<Void>	seekToEnd(Set<org.apache.kafka.common.TopicPartition> topicPartitions) Seek to the last offset for each of the given partitions.
KafkaReadStream<K,V>	seekToEnd(Set<org.apache.kafka.common.TopicPartition> topicPartitions, Handler<AsyncResult<Void>> completionHandler) Seek to the last offset for each of the given partitions.
Future<Void>	subscribe(Pattern pattern) Subscribe to all topics matching specified pattern to get dynamically assigned partitions.
KafkaReadStream<K,V>	subscribe(Pattern pattern, Handler<AsyncResult<Void>> completionHandler) Subscribe to all topics matching specified pattern to get dynamically assigned partitions.
Future<Void>	subscribe(Set<String> topics) Subscribe to the given list of topics to get dynamically assigned partitions.
KafkaReadStream<K,V>	subscribe(Set<String> topics, Handler<AsyncResult<Void>> completionHandler) Subscribe to the given list of topics to get dynamically assigned partitions.
Future<Set<String>>	subscription() Like subscription(Handler) but returns a Future of the asynchronous result
KafkaReadStream<K,V>	subscription(Handler<AsyncResult<Set<String>>> handler) Get the current subscription.
Future<Void>	unsubscribe() Unsubscribe from topics currently subscribed with subscribe.
KafkaReadStream<K,V>	unsubscribe(Handler<AsyncResult<Void>> completionHandler) Unsubscribe from topics currently subscribed with subscribe.
org.apache.kafka.clients.consumer.Consumer<K,V>	unwrap()

Methods inherited from interface io.vertx.core.streams.ReadStream

pipe, pipeTo, pipeTo

Method Detail

exceptionHandler

KafkaReadStream<K,V> exceptionHandler(Handler<Throwable> handler)

Description copied from interface: ReadStream

Set an exception handler on the read stream.

Specified by:

exceptionHandler in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Specified by:

exceptionHandler in interface StreamBase

Parameters:

handler - the exception handler

Returns:

a reference to this, so the API can be used fluently

handler

KafkaReadStream<K,V> handler(Handler<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>> handler)

Description copied from interface: ReadStream

Set a data handler. As data is read, the handler will be called with the data.

Specified by:

handler in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Returns:

a reference to this, so the API can be used fluently

pause

KafkaReadStream<K,V> pause()

Description copied from interface: ReadStream

Pause the ReadStream, it sets the buffer in fetch mode and clears the actual demand.

While it's paused, no data will be sent to the data handler.

Specified by:

pause in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Returns:

a reference to this, so the API can be used fluently

resume

KafkaReadStream<K,V> resume()

Description copied from interface: ReadStream

Resume reading, and sets the buffer in flowing mode.

If the ReadStream has been paused, reading will recommence on it.

Specified by:

resume in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Returns:

a reference to this, so the API can be used fluently

fetch

KafkaReadStream<K,V> fetch(long amount)

Description copied from interface: ReadStream

Fetch the specified amount of elements. If the ReadStream has been paused, reading will recommence with the specified amount of items, otherwise the specified amount will be added to the current stream demand.

Specified by:

fetch in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Returns:

a reference to this, so the API can be used fluently

endHandler

KafkaReadStream<K,V> endHandler(Handler<Void> endHandler)

Description copied from interface: ReadStream

Set an end handler. Once the stream has ended, and there is no more data to be read, this handler will be called.

Specified by:

endHandler in interface ReadStream<org.apache.kafka.clients.consumer.ConsumerRecord<K,V>>

Returns:

a reference to this, so the API can be used fluently

demand

long demand()

Returns the current demand.

If the stream is in flowing mode will return Long.MAX_VALUE.
• If the stream is in fetch mode, will return the current number of elements still to be delivered or 0 if paused.

Returns:

current demand

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Properties config)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Properties config,
                                         Class<K> keyType,
                                         Class<V> valueType)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

keyType - class type for the key deserialization

valueType - class type for the value deserialization

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Properties config,
                                         org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer,
                                         org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

keyDeserializer - key deserializer

valueDeserializer - value deserializer

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Map<String,Object> config)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Map<String,Object> config,
                                         Class<K> keyType,
                                         Class<V> valueType)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

keyType - class type for the key deserialization

valueType - class type for the value deserialization

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         Map<String,Object> config,
                                         org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer,
                                         org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

config - Kafka consumer configuration

keyDeserializer - key deserializer

valueDeserializer - value deserializer

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         KafkaClientOptions options)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

options - Kafka consumer options

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         KafkaClientOptions options,
                                         Class<K> keyType,
                                         Class<V> valueType)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

options - Kafka consumer options

keyType - class type for the key deserialization

valueType - class type for the value deserialization

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         KafkaClientOptions options,
                                         org.apache.kafka.common.serialization.Deserializer<K> keyDeserializer,
                                         org.apache.kafka.common.serialization.Deserializer<V> valueDeserializer)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

options - Kafka consumer options

keyDeserializer - key deserializer

valueDeserializer - value deserializer

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         org.apache.kafka.clients.consumer.Consumer<K,V> consumer)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

consumer - native Kafka consumer instance

Returns:

an instance of the KafkaReadStream

create

static <K,V> KafkaReadStream<K,V> create(Vertx vertx,
                                         org.apache.kafka.clients.consumer.Consumer<K,V> consumer,
                                         KafkaClientOptions options)

Create a new KafkaReadStream instance

Parameters:

vertx - Vert.x instance to use

consumer - native Kafka consumer instance

options - options used only for tracing settings

Returns:

an instance of the KafkaReadStream

committed

void committed(org.apache.kafka.common.TopicPartition topicPartition,
               Handler<AsyncResult<org.apache.kafka.clients.consumer.OffsetAndMetadata>> handler)

Get the last committed offset for the given partition (whether the commit happened by this process or another).

Parameters:

topicPartition - topic partition for getting last committed offset

handler - handler called on operation completed

committed

Future<org.apache.kafka.clients.consumer.OffsetAndMetadata> committed(org.apache.kafka.common.TopicPartition topicPartition)

Like committed(TopicPartition, Handler) but returns a Future of the asynchronous result

pause

Future<Void> pause(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Suspend fetching from the requested partitions.

Parameters:

topicPartitions - topic partition from which suspend fetching

Returns:

a Future completed with the operation result

pause

KafkaReadStream<K,V> pause(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                           Handler<AsyncResult<Void>> completionHandler)

Suspend fetching from the requested partitions.

Due to internal buffering of messages, the record handler will continue to observe messages from the given topicPartitions until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will not see messages from the given topicPartitions.

Parameters:

topicPartitions - topic partition from which suspend fetching

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

paused

void paused(Handler<AsyncResult<Set<org.apache.kafka.common.TopicPartition>>> handler)

Get the set of partitions that were previously paused by a call to pause(Set).

Parameters:

handler - handler called on operation completed

paused

Future<Set<org.apache.kafka.common.TopicPartition>> paused()

Like paused(Handler) but returns a Future of the asynchronous result

resume

Future<Void> resume(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Resume specified partitions which have been paused with pause.

Parameters:

topicPartitions - topic partition from which resume fetching

Returns:

a Future completed with the operation result

resume

KafkaReadStream<K,V> resume(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                            Handler<AsyncResult<Void>> completionHandler)

Resume specified partitions which have been paused with pause.

Parameters:

topicPartitions - topic partition from which resume fetching

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

seekToEnd

Future<Void> seekToEnd(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Seek to the last offset for each of the given partitions.

Parameters:

topicPartitions - topic partition for which seek

Returns:

a Future completed with the operation result

seekToEnd

KafkaReadStream<K,V> seekToEnd(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                               Handler<AsyncResult<Void>> completionHandler)

Seek to the last offset for each of the given partitions.

Due to internal buffering of messages, the record handler will continue to observe messages fetched with respect to the old offset until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new offset.

Parameters:

topicPartitions - topic partition for which seek

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

seekToBeginning

Future<Void> seekToBeginning(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Seek to the first offset for each of the given partitions.

Parameters:

topicPartitions - topic partition for which seek

Returns:

a Future completed with the operation result

seekToBeginning

KafkaReadStream<K,V> seekToBeginning(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                                     Handler<AsyncResult<Void>> completionHandler)

Seek to the first offset for each of the given partitions.

Due to internal buffering of messages, the record handler will continue to observe messages fetched with respect to the old offset until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new offset.

Parameters:

topicPartitions - topic partition for which seek

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

seek

Future<Void> seek(org.apache.kafka.common.TopicPartition topicPartition,
                  long offset)

Overrides the fetch offsets that the consumer will use on the next poll.

Parameters:

topicPartition - topic partition for which seek

offset - offset to seek inside the topic partition

Returns:

a Future completed with the operation result

seek

KafkaReadStream<K,V> seek(org.apache.kafka.common.TopicPartition topicPartition,
                          long offset,
                          Handler<AsyncResult<Void>> completionHandler)

Overrides the fetch offsets that the consumer will use on the next poll.

Due to internal buffering of messages, the record handler will continue to observe messages fetched with respect to the old offset until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new offset.

Parameters:

topicPartition - topic partition for which seek

offset - offset to seek inside the topic partition

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

partitionsRevokedHandler

KafkaReadStream<K,V> partitionsRevokedHandler(Handler<Set<org.apache.kafka.common.TopicPartition>> handler)

Set the handler called when topic partitions are revoked to the consumer

Parameters:

handler - handler called on revoked topic partitions

Returns:

current KafkaReadStream instance

partitionsAssignedHandler

KafkaReadStream<K,V> partitionsAssignedHandler(Handler<Set<org.apache.kafka.common.TopicPartition>> handler)

Set the handler called when topic partitions are assigned to the consumer

Parameters:

handler - handler called on assigned topic partitions

Returns:

current KafkaReadStream instance

subscribe

Future<Void> subscribe(Set<String> topics)

Subscribe to the given list of topics to get dynamically assigned partitions.

Parameters:

topics - topics to subscribe to

Returns:

a Future completed with the operation result

subscribe

KafkaReadStream<K,V> subscribe(Set<String> topics,
                               Handler<AsyncResult<Void>> completionHandler)

Subscribe to the given list of topics to get dynamically assigned partitions.

Due to internal buffering of messages, when changing the subscribed topics the old set of topics may remain in effect (as observed by the handler(Handler) record handler}) until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new set of topics.

Parameters:

topics - topics to subscribe to

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

subscribe

KafkaReadStream<K,V> subscribe(Pattern pattern,
                               Handler<AsyncResult<Void>> completionHandler)

Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

Due to internal buffering of messages, when changing the subscribed topics the old set of topics may remain in effect (as observed by the handler(Handler) record handler}) until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new set of topics.

Parameters:

pattern - Pattern to subscribe to

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

subscribe

Future<Void> subscribe(Pattern pattern)

Subscribe to all topics matching specified pattern to get dynamically assigned partitions.

Parameters:

pattern - Pattern to subscribe to

Returns:

a Future completed with the operation result

unsubscribe

Future<Void> unsubscribe()

Unsubscribe from topics currently subscribed with subscribe.

Returns:

current KafkaReadStream instance

unsubscribe

KafkaReadStream<K,V> unsubscribe(Handler<AsyncResult<Void>> completionHandler)

Unsubscribe from topics currently subscribed with subscribe.

Parameters:

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

subscription

KafkaReadStream<K,V> subscription(Handler<AsyncResult<Set<String>>> handler)

Get the current subscription.

Parameters:

handler - handler called on operation completed

Returns:

current KafkaReadStream instance

subscription

Future<Set<String>> subscription()

Like subscription(Handler) but returns a Future of the asynchronous result

assign

Future<Void> assign(Set<org.apache.kafka.common.TopicPartition> partitions)

Manually assign a set of partitions to this consumer.

Parameters:

partitions - partitions which want assigned

Returns:

current KafkaReadStream instance

assign

KafkaReadStream<K,V> assign(Set<org.apache.kafka.common.TopicPartition> partitions,
                            Handler<AsyncResult<Void>> completionHandler)

Manually assign a set of partitions to this consumer.

Due to internal buffering of messages, when reassigning the old set of partitions may remain in effect (as observed by the handler(Handler) record handler)} until some time after the given completionHandler is called. In contrast, the once the given completionHandler is called the batchHandler(Handler) will only see messages consistent with the new set of partitions.

Parameters:

partitions - partitions which want assigned

completionHandler - handler called on operation completed

Returns:

current KafkaReadStream instance

assignment

KafkaReadStream<K,V> assignment(Handler<AsyncResult<Set<org.apache.kafka.common.TopicPartition>>> handler)

Get the set of partitions currently assigned to this consumer.

Parameters:

handler - handler called on operation completed

Returns:

current KafkaReadStream instance

assignment

Future<Set<org.apache.kafka.common.TopicPartition>> assignment()

Like assignment(Handler) but returns a Future of the asynchronous result

listTopics

KafkaReadStream<K,V> listTopics(Handler<AsyncResult<Map<String,List<org.apache.kafka.common.PartitionInfo>>>> handler)

Get metadata about partitions for all topics that the user is authorized to view.

Parameters:

handler - handler called on operation completed

Returns:

current KafkaReadStream instance

listTopics

Future<Map<String,List<org.apache.kafka.common.PartitionInfo>>> listTopics()

Like listTopics(Handler) but returns a Future of the asynchronous result

commit

Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>> commit()

Commit current offsets for all the subscribed list of topics and partition.

commit

void commit(Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>> completionHandler)

Commit current offsets for all the subscribed list of topics and partition.

Parameters:

completionHandler - handler called on operation completed

commit

Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>> commit(Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata> offsets)

Commit the specified offsets for the specified list of topics and partitions to Kafka.

Parameters:

offsets - offsets list to commit

Returns:

a Future completed with the operation result

commit

void commit(Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata> offsets,
            Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndMetadata>>> completionHandler)

Commit the specified offsets for the specified list of topics and partitions to Kafka.

Parameters:

offsets - offsets list to commit

completionHandler - handler called on operation completed

partitionsFor

KafkaReadStream<K,V> partitionsFor(String topic,
                                   Handler<AsyncResult<List<org.apache.kafka.common.PartitionInfo>>> handler)

Get metadata about the partitions for a given topic.

Parameters:

topic - topic partition for which getting partitions info

handler - handler called on operation completed

Returns:

current KafkaReadStream instance

partitionsFor

Future<List<org.apache.kafka.common.PartitionInfo>> partitionsFor(String topic)

Like partitionsFor(String, Handler) but returns a Future of the asynchronous result

close

Future<Void> close()

Close the stream

Returns:

a Future completed with the operation result

close

void close(Handler<AsyncResult<Void>> completionHandler)

Close the stream

Parameters:

completionHandler - handler called on operation completed

position

void position(org.apache.kafka.common.TopicPartition partition,
              Handler<AsyncResult<Long>> handler)

Get the offset of the next record that will be fetched (if a record with that offset exists).

Parameters:

partition - The partition to get the position for

handler - handler called on operation completed

position

Future<Long> position(org.apache.kafka.common.TopicPartition partition)

Like position(TopicPartition, Handler) but returns a Future of the asynchronous result

offsetsForTimes

void offsetsForTimes(Map<org.apache.kafka.common.TopicPartition,Long> topicPartitionTimestamps,
                     Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndTimestamp>>> handler)

Look up the offsets for the given partitions by timestamp.

Parameters:

topicPartitionTimestamps - A map with pairs of (TopicPartition, Timestamp).

handler - handler called on operation completed

offsetsForTimes

Future<Map<org.apache.kafka.common.TopicPartition,org.apache.kafka.clients.consumer.OffsetAndTimestamp>> offsetsForTimes(Map<org.apache.kafka.common.TopicPartition,Long> topicPartitionTimestamps)

Like offsetsForTimes(Map, Handler) but returns a Future of the asynchronous result

offsetsForTimes

void offsetsForTimes(org.apache.kafka.common.TopicPartition topicPartition,
                     long timestamp,
                     Handler<AsyncResult<org.apache.kafka.clients.consumer.OffsetAndTimestamp>> handler)

* Look up the offset for the given partition by timestamp.

Parameters:

topicPartition - Partition to query.

timestamp - Timestamp used to determine the offset.

handler - handler called on operation completed

offsetsForTimes

Future<org.apache.kafka.clients.consumer.OffsetAndTimestamp> offsetsForTimes(org.apache.kafka.common.TopicPartition topicPartition,
                                                                             long timestamp)

Like offsetsForTimes(TopicPartition, long, Handler) but returns a Future of the asynchronous result

beginningOffsets

void beginningOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                      Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,Long>>> handler)

Get the first offset for the given partitions.

Parameters:

topicPartitions - the partitions to get the earliest offsets.

handler - handler called on operation completed. Returns the earliest available offsets for the given partitions

beginningOffsets

Future<Map<org.apache.kafka.common.TopicPartition,Long>> beginningOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Like beginningOffsets(Set, Handler) but returns a Future of the asynchronous result

beginningOffsets

void beginningOffsets(org.apache.kafka.common.TopicPartition topicPartition,
                      Handler<AsyncResult<Long>> handler)

Get the first offset for the given partition.

Parameters:

topicPartition - the partition to get the earliest offset.

handler - handler called on operation completed. Returns the earliest available offset for the given partition

beginningOffsets

Future<Long> beginningOffsets(org.apache.kafka.common.TopicPartition topicPartition)

Like beginningOffsets(TopicPartition, Handler) but returns a Future of the asynchronous result

endOffsets

void endOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions,
                Handler<AsyncResult<Map<org.apache.kafka.common.TopicPartition,Long>>> handler)

Get the last offset for the given partitions. The last offset of a partition is the offset of the upcoming message, i.e. the offset of the last available message + 1.

Parameters:

topicPartitions - the partitions to get the end offsets.

handler - handler called on operation completed. The end offsets for the given partitions.

endOffsets

Future<Map<org.apache.kafka.common.TopicPartition,Long>> endOffsets(Set<org.apache.kafka.common.TopicPartition> topicPartitions)

Like endOffsets(Set, Handler) but returns a Future of the asynchronous result

endOffsets

void endOffsets(org.apache.kafka.common.TopicPartition topicPartition,
                Handler<AsyncResult<Long>> handler)

Get the last offset for the given partition. The last offset of a partition is the offset of the upcoming message, i.e. the offset of the last available message + 1.

Parameters:

topicPartition - the partition to get the end offset.

handler - handler called on operation completed. The end offset for the given partition.

endOffsets

Future<Long> endOffsets(org.apache.kafka.common.TopicPartition topicPartition)

Like endOffsets(TopicPartition, Handler) but returns a Future of the asynchronous result

unwrap

org.apache.kafka.clients.consumer.Consumer<K,V> unwrap()

Returns:

the underlying consumer

batchHandler

KafkaReadStream<K,V> batchHandler(Handler<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>> handler)

Set the handler that will be called when a new batch of records is returned from Kafka. Batch handlers need to take care not to block the event loop when dealing with large batches. It is better to process records individually using the record handler.

Parameters:

handler - handler called each time Kafka returns a batch of records.

Returns:

current KafkaReadStream instance.

pollTimeout

KafkaReadStream<K,V> pollTimeout(java.time.Duration timeout)

Sets the poll timeout for the underlying native Kafka Consumer. Defaults to 1000 ms. Setting timeout to a lower value results in a more 'responsive' client, because it will block for a shorter period if no data is available in the assigned partition and therefore allows subsequent actions to be executed with a shorter delay. At the same time, the client will poll more frequently and thus will potentially create a higher load on the Kafka Broker.

Parameters:

timeout - The time, spent waiting in poll if data is not available in the buffer. If 0, returns immediately with any records that are available currently in the native Kafka consumer's buffer, else returns empty. Must not be negative.

poll

void poll(java.time.Duration timeout,
          Handler<AsyncResult<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>>> handler)

Executes a poll for getting messages from Kafka.

Parameters:

timeout - The maximum time to block (must not be greater than Long.MAX_VALUE milliseconds)

handler - handler called after the poll with batch of records (can be empty).

poll

Future<org.apache.kafka.clients.consumer.ConsumerRecords<K,V>> poll(java.time.Duration timeout)

Like poll(Duration, Handler) but returns a Future of the asynchronous result