Class: Kafka::Client

Inherits:
Object
  • Object
show all
Defined in:
lib/kafka/client.rb

Instance Method Summary collapse

Constructor Details

#initialize(seed_brokers:, client_id: "ruby-kafka", logger: nil, connect_timeout: nil, socket_timeout: nil, ssl_ca_cert_file_path: nil, ssl_ca_cert: nil, ssl_client_cert: nil, ssl_client_cert_key: nil, ssl_client_cert_chain: nil, sasl_gssapi_principal: nil, sasl_gssapi_keytab: nil, sasl_plain_authzid: '', sasl_plain_username: nil, sasl_plain_password: nil, sasl_scram_username: nil, sasl_scram_password: nil, sasl_scram_mechanism: nil, sasl_over_ssl: true, ssl_ca_certs_from_system: false) ⇒ Client

Initializes a new Kafka client.

Parameters:

  • seed_brokers (Array<String>, String) —

    the list of brokers used to initialize the client. Either an Array of connections, or a comma separated string of connections. A connection can either be a string of "host:port" or a full URI with a scheme. If there's a scheme it's ignored and only host/port are used.

  • client_id (String) (defaults to: "ruby-kafka") —

    the identifier for this application.

  • logger (Logger) (defaults to: nil) —

    the logger that should be used by the client.

  • connect_timeout (Integer, nil) (defaults to: nil) —

    the timeout setting for connecting to brokers. See BrokerPool#initialize.

  • socket_timeout (Integer, nil) (defaults to: nil) —

    the timeout setting for socket connections. See BrokerPool#initialize.

  • ssl_ca_cert (String, Array<String>, nil) (defaults to: nil) —

    a PEM encoded CA cert, or an Array of PEM encoded CA certs, to use with an SSL connection.

  • ssl_ca_cert_file_path (String, nil) (defaults to: nil) —

    a path on the filesystem to a PEM encoded CA cert to use with an SSL connection.

  • ssl_client_cert (String, nil) (defaults to: nil) —

    a PEM encoded client cert to use with an SSL connection. Must be used in combination with ssl_client_cert_key.

  • ssl_client_cert_key (String, nil) (defaults to: nil) —

    a PEM encoded client cert key to use with an SSL connection. Must be used in combination with ssl_client_cert.

  • sasl_gssapi_principal (String, nil) (defaults to: nil) —

    a KRB5 principal

  • sasl_gssapi_keytab (String, nil) (defaults to: nil) —

    a KRB5 keytab filepath

  • sasl_scram_username (String, nil) (defaults to: nil) —

    SCRAM username

  • sasl_scram_password (String, nil) (defaults to: nil) —

    SCRAM password

  • sasl_scram_mechanism (String, nil) (defaults to: nil) —

    Scram mechanism, either "sha256" or "sha512"

  • sasl_over_ssl (Boolean) (defaults to: true) —

    whether to enforce SSL with SASL



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# File 'lib/kafka/client.rb', line 62

def initialize(seed_brokers:, client_id: "ruby-kafka", logger: nil, connect_timeout: nil, socket_timeout: nil,
               ssl_ca_cert_file_path: nil, ssl_ca_cert: nil, ssl_client_cert: nil, ssl_client_cert_key: nil,
               ssl_client_cert_chain: nil, sasl_gssapi_principal: nil, sasl_gssapi_keytab: nil,
               sasl_plain_authzid: '', sasl_plain_username: nil, sasl_plain_password: nil,
               sasl_scram_username: nil, sasl_scram_password: nil, sasl_scram_mechanism: nil,
               sasl_over_ssl: true, ssl_ca_certs_from_system: false)
  @logger = logger || Logger.new(nil)
  @instrumenter = Instrumenter.new(client_id: client_id)
  @seed_brokers = normalize_seed_brokers(seed_brokers)

  ssl_context = SslContext.build(
    ca_cert_file_path: ssl_ca_cert_file_path,
    ca_cert: ssl_ca_cert,
    client_cert: ssl_client_cert,
    client_cert_key: ssl_client_cert_key,
    client_cert_chain: ssl_client_cert_chain,
    ca_certs_from_system: ssl_ca_certs_from_system,
  )

  sasl_authenticator = SaslAuthenticator.new(
    sasl_gssapi_principal: sasl_gssapi_principal,
    sasl_gssapi_keytab: sasl_gssapi_keytab,
    sasl_plain_authzid: sasl_plain_authzid,
    sasl_plain_username: sasl_plain_username,
    sasl_plain_password: sasl_plain_password,
    sasl_scram_username: sasl_scram_username,
    sasl_scram_password: sasl_scram_password,
    sasl_scram_mechanism: sasl_scram_mechanism,
    logger: @logger
  )

  if sasl_authenticator.enabled? && sasl_over_ssl && ssl_context.nil?
    raise ArgumentError, "SASL authentication requires that SSL is configured"
  end

  @connection_builder = ConnectionBuilder.new(
    client_id: client_id,
    connect_timeout: connect_timeout,
    socket_timeout: socket_timeout,
    ssl_context: ssl_context,
    logger: @logger,
    instrumenter: @instrumenter,
    sasl_authenticator: sasl_authenticator
  )

  @cluster = initialize_cluster
end

Instance Method Details

#alter_topic(name, configs = {}) ⇒ nil

Note:

This is an alpha level API and is subject to change.

Alter the configuration of a topic.

Configuration keys must match Kafka's topic-level configs.

Examples:

Describing the cleanup policy config of a topic

kafka = Kafka.new(["kafka1:9092"])
kafka.alter_topic("my-topic", "cleanup.policy" => "delete", "max.message.byte" => "100000")

Parameters:

  • name (String) —

    the name of the topic.

  • configs (Hash<String, String>) (defaults to: {}) —

    hash of desired config keys and values.

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 593

def alter_topic(name, configs = {})
  @cluster.alter_topic(name, configs)
end

#apis ⇒ Object 



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# File 'lib/kafka/client.rb', line 694

def apis
  @cluster.apis
end

#async_producer(delivery_interval: 0, delivery_threshold: 0, max_queue_size: 1000, **options) ⇒ AsyncProducer

Creates a new AsyncProducer instance.

All parameters allowed by #producer can be passed. In addition to this, a few extra parameters can be passed when creating an async producer.

Parameters:

  • max_queue_size (Integer) (defaults to: 1000) —

    the maximum number of messages allowed in the queue.

  • delivery_threshold (Integer) (defaults to: 0) —

    if greater than zero, the number of buffered messages that will automatically trigger a delivery.

  • delivery_interval (Integer) (defaults to: 0) —

    if greater than zero, the number of seconds between automatic message deliveries.

Returns:

See Also:



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# File 'lib/kafka/client.rb', line 294

def async_producer(delivery_interval: 0, delivery_threshold: 0, max_queue_size: 1000, **options)
  sync_producer = producer(**options)

  AsyncProducer.new(
    sync_producer: sync_producer,
    delivery_interval: delivery_interval,
    delivery_threshold: delivery_threshold,
    max_queue_size: max_queue_size,
    instrumenter: @instrumenter,
    logger: @logger,
  )
end

#brokers ⇒ Array<Kafka::BrokerInfo>

List all brokers in the cluster.

Returns:



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# File 'lib/kafka/client.rb', line 701

def brokers
  @cluster.cluster_info.brokers
end

#close ⇒ nil

Closes all connections to the Kafka brokers and frees up used resources.

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 715

def close
  @cluster.disconnect
end

#consumer(group_id:, session_timeout: 30, offset_commit_interval: 10, offset_commit_threshold: 0, heartbeat_interval: 10, offset_retention_time: nil, fetcher_max_queue_size: 100) ⇒ Consumer

Creates a new Kafka consumer.

Parameters:

  • group_id (String) —

    the id of the group that the consumer should join.

  • session_timeout (Integer) (defaults to: 30) —

    the number of seconds after which, if a client hasn't contacted the Kafka cluster, it will be kicked out of the group.

  • offset_commit_interval (Integer) (defaults to: 10) —

    the interval between offset commits, in seconds.

  • offset_commit_threshold (Integer) (defaults to: 0) —

    the number of messages that can be processed before their offsets are committed. If zero, offset commits are not triggered by message processing.

  • heartbeat_interval (Integer) (defaults to: 10) —

    the interval between heartbeats; must be less than the session window.

  • offset_retention_time (Integer) (defaults to: nil) —

    the time period that committed offsets will be retained, in seconds. Defaults to the broker setting.

  • fetcher_max_queue_size (Integer) (defaults to: 100) —

    max number of items in the fetch queue that are stored for further processing. Note, that each item in the queue represents a response from a single broker.

Returns:



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# File 'lib/kafka/client.rb', line 325

def consumer(
    group_id:,
    session_timeout: 30,
    offset_commit_interval: 10,
    offset_commit_threshold: 0,
    heartbeat_interval: 10,
    offset_retention_time: nil,
    fetcher_max_queue_size: 100
)
  cluster = initialize_cluster

  instrumenter = DecoratingInstrumenter.new(@instrumenter, {
    group_id: group_id,
  })

  # The Kafka protocol expects the retention time to be in ms.
  retention_time = (offset_retention_time && offset_retention_time * 1_000) || -1

  group = ConsumerGroup.new(
    cluster: cluster,
    logger: @logger,
    group_id: group_id,
    session_timeout: session_timeout,
    retention_time: retention_time,
    instrumenter: instrumenter,
  )

  fetcher = Fetcher.new(
    cluster: initialize_cluster,
    group: group,
    logger: @logger,
    instrumenter: instrumenter,
    max_queue_size: fetcher_max_queue_size
  )

  offset_manager = OffsetManager.new(
    cluster: cluster,
    group: group,
    fetcher: fetcher,
    logger: @logger,
    commit_interval: offset_commit_interval,
    commit_threshold: offset_commit_threshold,
    offset_retention_time: offset_retention_time
  )

  heartbeat = Heartbeat.new(
    group: group,
    interval: heartbeat_interval,
  )

  Consumer.new(
    cluster: cluster,
    logger: @logger,
    instrumenter: instrumenter,
    group: group,
    offset_manager: offset_manager,
    fetcher: fetcher,
    session_timeout: session_timeout,
    heartbeat: heartbeat,
  )
end

#controller_broker ⇒ Kafka::BrokerInfo

The current controller broker in the cluster.

Returns:



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# File 'lib/kafka/client.rb', line 708

def controller_broker
  brokers.find {|broker| broker.node_id == @cluster.cluster_info.controller_id }
end

#create_partitions_for(name, num_partitions: 1, timeout: 30) ⇒ nil

Create partitions for a topic.

the topic partitions to be added.

Parameters:

  • name (String) —

    the name of the topic.

  • num_partitions (Integer) (defaults to: 1) —

    the number of desired partitions for

  • timeout (Integer) (defaults to: 30) —

    a duration of time to wait for the new

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 613

def create_partitions_for(name, num_partitions: 1, timeout: 30)
  @cluster.create_partitions_for(name, num_partitions: num_partitions, timeout: timeout)
end

#create_topic(name, num_partitions: 1, replication_factor: 1, timeout: 30, config: {}) ⇒ nil

Creates a topic in the cluster.

Examples:

Creating a topic with log compaction

# Enable log compaction:
config = { "cleanup.policy" => "compact" }

# Create the topic:
kafka.create_topic("dns-mappings", config: config)

Parameters:

  • name (String) —

    the name of the topic.

  • num_partitions (Integer) (defaults to: 1) —

    the number of partitions that should be created in the topic.

  • replication_factor (Integer) (defaults to: 1) —

    the replication factor of the topic.

  • timeout (Integer) (defaults to: 30) —

    a duration of time to wait for the topic to be completely created.

  • config (Hash) (defaults to: {}) —

    topic configuration entries. See the Kafka documentation for more information.

Returns:

  • (nil)

Raises:



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# File 'lib/kafka/client.rb', line 540

def create_topic(name, num_partitions: 1, replication_factor: 1, timeout: 30, config: {})
  @cluster.create_topic(
    name,
    num_partitions: num_partitions,
    replication_factor: replication_factor,
    timeout: timeout,
    config: config,
  )
end

#delete_topic(name, timeout: 30) ⇒ nil

Delete a topic in the cluster.

Parameters:

  • name (String) —

    the name of the topic.

  • timeout (Integer) (defaults to: 30) —

    a duration of time to wait for the topic to be completely marked deleted.

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 556

def delete_topic(name, timeout: 30)
  @cluster.delete_topic(name, timeout: timeout)
end

#deliver_message(value, key: nil, headers: {}, topic:, partition: nil, partition_key: nil, retries: 1) ⇒ nil

Delivers a single message to the Kafka cluster.

Note: Only use this API for low-throughput scenarios. If you want to deliver many messages at a high rate, or if you want to configure the way messages are sent, use the #producer or #async_producer APIs instead.

Parameters:

  • value (String, nil) —

    the message value.

  • key (String, nil) (defaults to: nil) —

    the message key.

  • headers (Hash<String, String>) (defaults to: {}) —

    the headers for the message.

  • topic (String) —

    the topic that the message should be written to.

  • partition (Integer, nil) (defaults to: nil) —

    the partition that the message should be written to, or nil if either partition_key is passed or the partition should be chosen at random.

  • partition_key (String) (defaults to: nil) —

    a value used to deterministically choose a partition to write to.

  • retries (Integer) (defaults to: 1) —

    the number of times to retry the delivery before giving up.

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 128

def deliver_message(value, key: nil, headers: {}, topic:, partition: nil, partition_key: nil, retries: 1)
  create_time = Time.now

  message = PendingMessage.new(
    value: value,
    key: key,
    headers: headers,
    topic: topic,
    partition: partition,
    partition_key: partition_key,
    create_time: create_time
  )

  if partition.nil?
    partition_count = @cluster.partitions_for(topic).count
    partition = Partitioner.partition_for_key(partition_count, message)
  end

  buffer = MessageBuffer.new

  buffer.write(
    value: message.value,
    key: message.key,
    headers: message.headers,
    topic: message.topic,
    partition: partition,
    create_time: message.create_time,
  )

  @cluster.add_target_topics([topic])

  compressor = Compressor.new(
    instrumenter: @instrumenter,
  )

  transaction_manager = TransactionManager.new(
    cluster: @cluster,
    logger: @logger,
    idempotent: false,
    transactional: false
  )

  operation = ProduceOperation.new(
    cluster: @cluster,
    transaction_manager: transaction_manager,
    buffer: buffer,
    required_acks: 1,
    ack_timeout: 10,
    compressor: compressor,
    logger: @logger,
    instrumenter: @instrumenter,
  )

  attempt = 1

  begin
    operation.execute

    unless buffer.empty?
      raise DeliveryFailed.new(nil, [message])
    end
  rescue Kafka::Error => e
    @cluster.mark_as_stale!

    if attempt >= (retries + 1)
      raise
    else
      attempt += 1
      @logger.warn "Error while delivering message, #{e.class}: #{e.message}; retrying after 1s..."

      sleep 1

      retry
    end
  end
end

#describe_group(group_id) ⇒ Kafka::Protocol::DescribeGroupsResponse::Group

Describe a consumer group

Parameters:

  • group_id (String) —

    the id of the consumer group

Returns:



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# File 'lib/kafka/client.rb', line 601

def describe_group(group_id)
  @cluster.describe_group(group_id)
end

#describe_topic(name, configs = []) ⇒ Hash<String, String>

Note:

This is an alpha level API and is subject to change.

Describe the configuration of a topic.

Retrieves the topic configuration from the Kafka brokers. Configuration names refer to Kafka's topic-level configs.

Examples:

Describing the cleanup policy config of a topic

kafka = Kafka.new(["kafka1:9092"])
kafka.describe_topic("my-topic", ["cleanup.policy"])
#=> { "cleanup.policy" => "delete" }

Parameters:

  • name (String) —

    the name of the topic.

  • configs (Array<String>) (defaults to: []) —

    array of desired config names.

Returns:

  • (Hash<String, String>) 


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# File 'lib/kafka/client.rb', line 575

def describe_topic(name, configs = [])
  @cluster.describe_topic(name, configs)
end

#each_message(topic:, start_from_beginning: true, max_wait_time: 5, min_bytes: 1, max_bytes: 1048576, &block) ⇒ nil

Enumerate all messages in a topic.

Parameters:

  • topic (String) —

    the topic to consume messages from.

  • start_from_beginning (Boolean) (defaults to: true) —

    whether to start from the beginning of the topic or just subscribe to new messages being produced.

  • max_wait_time (Integer) (defaults to: 5) —

    the maximum amount of time to wait before the server responds, in seconds.

  • min_bytes (Integer) (defaults to: 1) —

    the minimum number of bytes to wait for. If set to zero, the broker will respond immediately, but the response may be empty. The default is 1 byte, which means that the broker will respond as soon as a message is written to the partition.

  • max_bytes (Integer) (defaults to: 1048576) —

    the maximum number of bytes to include in the response message set. Default is 1 MB. You need to set this higher if you expect messages to be larger than this.

Returns:

  • (nil) 


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# File 'lib/kafka/client.rb', line 494

def each_message(topic:, start_from_beginning: true, max_wait_time: 5, min_bytes: 1, max_bytes: 1048576, &block)
  default_offset ||= start_from_beginning ? :earliest : :latest
  offsets = Hash.new { default_offset }

  loop do
    operation = FetchOperation.new(
      cluster: @cluster,
      logger: @logger,
      min_bytes: min_bytes,
      max_wait_time: max_wait_time,
    )

    @cluster.partitions_for(topic).map(&:partition_id).each do |partition|
      partition_offset = offsets[partition]
      operation.fetch_from_partition(topic, partition, offset: partition_offset, max_bytes: max_bytes)
    end

    batches = operation.execute

    batches.each do |batch|
      batch.messages.each(&block)
      offsets[batch.partition] = batch.last_offset + 1 unless batch.unknown_last_offset?
    end
  end
end

#fetch_messages(topic:, partition:, offset: :latest, max_wait_time: 5, min_bytes: 1, max_bytes: 1048576, retries: 1) ⇒ Array<Kafka::FetchedMessage>

Fetches a batch of messages from a single partition. Note that it's possible to get back empty batches.

The starting point for the fetch can be configured with the :offset argument. If you pass a number, the fetch will start at that offset. However, there are two special Symbol values that can be passed instead:

  • :earliest — the first offset in the partition.
  • :latest — the next offset that will be written to, effectively making the call block until there is a new message in the partition.

The Kafka protocol specifies the numeric values of these two options: -2 and -1, respectively. You can also pass in these numbers directly.

Example

When enumerating the messages in a partition, you typically fetch batches sequentially.

offset = :earliest

loop do
  messages = kafka.fetch_messages(
    topic: "my-topic",
    partition: 42,
    offset: offset,
  )

  messages.each do |message|
    puts message.offset, message.key, message.value

    # Set the next offset that should be read to be the subsequent
    # offset.
    offset = message.offset + 1
  end
end

See a working example in examples/simple-consumer.rb.

Parameters:

  • topic (String) —

    the topic that messages should be fetched from.

  • partition (Integer) —

    the partition that messages should be fetched from.

  • offset (Integer, Symbol) (defaults to: :latest) —

    the offset to start reading from. Default is the latest offset.

  • max_wait_time (Integer) (defaults to: 5) —

    the maximum amount of time to wait before the server responds, in seconds.

  • min_bytes (Integer) (defaults to: 1) —

    the minimum number of bytes to wait for. If set to zero, the broker will respond immediately, but the response may be empty. The default is 1 byte, which means that the broker will respond as soon as a message is written to the partition.

  • max_bytes (Integer) (defaults to: 1048576) —

    the maximum number of bytes to include in the response message set. Default is 1 MB. You need to set this higher if you expect messages to be larger than this.

Returns:



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# File 'lib/kafka/client.rb', line 446

def fetch_messages(topic:, partition:, offset: :latest, max_wait_time: 5, min_bytes: 1, max_bytes: 1048576, retries: 1)
  operation = FetchOperation.new(
    cluster: @cluster,
    logger: @logger,
    min_bytes: min_bytes,
    max_bytes: max_bytes,
    max_wait_time: max_wait_time,
  )

  operation.fetch_from_partition(topic, partition, offset: offset, max_bytes: max_bytes)

  attempt = 1

  begin
    operation.execute.flat_map {|batch| batch.messages }
  rescue Kafka::Error => e
    @cluster.mark_as_stale!

    if attempt >= (retries + 1)
      raise
    else
      attempt += 1
      @logger.warn "Error while fetching messages, #{e.class}: #{e.message}; retrying..."
      retry
    end
  end
end

#groups ⇒ Array<String>

Lists all consumer groups in the cluster

Returns:

  • (Array<String>) —

    the list of group ids



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# File 'lib/kafka/client.rb', line 635

def groups
  @cluster.list_groups
end

#has_topic?(topic) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/kafka/client.rb', line 639

def has_topic?(topic)
  @cluster.clear_target_topics
  @cluster.add_target_topics([topic])
  @cluster.topics.include?(topic)
end

#last_offset_for(topic, partition) ⇒ Integer

Retrieve the offset of the last message in a partition. If there are no messages in the partition -1 is returned.

Parameters:

  • topic (String)
  • partition (Integer)

Returns:

  • (Integer) —

    the offset of the last message in the partition, or -1 if there are no messages in the partition.



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# File 'lib/kafka/client.rb', line 660

def last_offset_for(topic, partition)
  # The offset resolution API will return the offset of the "next" message to
  # be written when resolving the "latest" offset, so we subtract one.
  @cluster.resolve_offset(topic, partition, :latest) - 1
end

#last_offsets_for(*topics) ⇒ Hash<String, Hash<Integer, Integer>>

Retrieve the offset of the last message in each partition of the specified topics.

Examples:

last_offsets_for('topic-1', 'topic-2') # =>
# {
#   'topic-1' => { 0 => 100, 1 => 100 },
#   'topic-2' => { 0 => 100, 1 => 100 }
# }

Parameters:

  • topics (Array<String>) —

    topic names.

Returns:

  • (Hash<String, Hash<Integer, Integer>>) 


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# File 'lib/kafka/client.rb', line 676

def last_offsets_for(*topics)
  @cluster.add_target_topics(topics)
  topics.map {|topic|
    partition_ids = @cluster.partitions_for(topic).collect(&:partition_id)
    partition_offsets = @cluster.resolve_offsets(topic, partition_ids, :latest)
    [topic, partition_offsets.collect { |k, v| [k, v - 1] }.to_h]
  }.to_h
end

#partitions_for(topic) ⇒ Integer

Counts the number of partitions in a topic.

Parameters:

  • topic (String)

Returns:

  • (Integer) —

    the number of partitions in the topic.



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# File 'lib/kafka/client.rb', line 649

def partitions_for(topic)
  @cluster.partitions_for(topic).count
end

#producer(compression_codec: nil, compression_threshold: 1, ack_timeout: 5, required_acks: :all, max_retries: 2, retry_backoff: 1, max_buffer_size: 1000, max_buffer_bytesize: 10_000_000, idempotent: false, transactional: false, transactional_id: nil, transactional_timeout: 60) ⇒ Kafka::Producer

Initializes a new Kafka producer.

Parameters:

  • ack_timeout (Integer) (defaults to: 5) —

    The number of seconds a broker can wait for replicas to acknowledge a write before responding with a timeout.

  • required_acks (Integer, Symbol) (defaults to: :all) —

    The number of replicas that must acknowledge a write, or :all if all in-sync replicas must acknowledge.

  • max_retries (Integer) (defaults to: 2) —

    the number of retries that should be attempted before giving up sending messages to the cluster. Does not include the original attempt.

  • retry_backoff (Integer) (defaults to: 1) —

    the number of seconds to wait between retries.

  • max_buffer_size (Integer) (defaults to: 1000) —

    the number of messages allowed in the buffer before new writes will raise BufferOverflow exceptions.

  • max_buffer_bytesize (Integer) (defaults to: 10_000_000) —

    the maximum size of the buffer in bytes. attempting to produce messages when the buffer reaches this size will result in BufferOverflow being raised.

  • compression_codec (Symbol, nil) (defaults to: nil) —

    the name of the compression codec to use, or nil if no compression should be performed. Valid codecs: :snappy and :gzip.

  • compression_threshold (Integer) (defaults to: 1) —

    the number of messages that needs to be in a message set before it should be compressed. Note that message sets are per-partition rather than per-topic or per-producer.

Returns:



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# File 'lib/kafka/client.rb', line 235

def producer(
  compression_codec: nil,
  compression_threshold: 1,
  ack_timeout: 5,
  required_acks: :all,
  max_retries: 2,
  retry_backoff: 1,
  max_buffer_size: 1000,
  max_buffer_bytesize: 10_000_000,
  idempotent: false,
  transactional: false,
  transactional_id: nil,
  transactional_timeout: 60
)
  cluster = initialize_cluster
  compressor = Compressor.new(
    codec_name: compression_codec,
    threshold: compression_threshold,
    instrumenter: @instrumenter,
  )

  transaction_manager = TransactionManager.new(
    cluster: cluster,
    logger: @logger,
    idempotent: idempotent,
    transactional: transactional,
    transactional_id: transactional_id,
    transactional_timeout: transactional_timeout,
  )

  Producer.new(
    cluster: cluster,
    transaction_manager: transaction_manager,
    logger: @logger,
    instrumenter: @instrumenter,
    compressor: compressor,
    ack_timeout: ack_timeout,
    required_acks: required_acks,
    max_retries: max_retries,
    retry_backoff: retry_backoff,
    max_buffer_size: max_buffer_size,
    max_buffer_bytesize: max_buffer_bytesize,
  )
end

#supports_api?(api_key, version = nil) ⇒ Boolean

Check whether current cluster supports a specific version or not

Parameters:

  • api_key (Integer) —

    API key.

  • version (Integer) (defaults to: nil) —

    API version.

Returns:

  • (Boolean) 


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# File 'lib/kafka/client.rb', line 690

def supports_api?(api_key, version = nil)
  @cluster.supports_api?(api_key, version)
end

#topics ⇒ Array<String>

Lists all topics in the cluster.

Returns:

  • (Array<String>) —

    the list of topic names.



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# File 'lib/kafka/client.rb', line 620

def topics
  attempts = 0
  begin
    attempts += 1
    @cluster.list_topics
  rescue Kafka::ConnectionError
    @cluster.mark_as_stale!
    retry unless attempts > 1
    raise
  end
end