Apache Storm Component Guide
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KafkaSpout Integration: Trident APIs

The Trident API represents a Kafka spout with the OpaqueTridentKafkaSpout class.

To initialize OpaqueTridentKafkaSpout, define a TridentKafkaConfig subclass instance of the KafkaConfig class, representing configuration information needed to ingest data from a Kafka cluster.

KafkaConfig Class and TridentKafkaConfig Subclass

Both the core-storm and Trident APIs use KafkaConfig, which contains several parameters and fields used to configure the behavior of a Kafka spout in a Storm topology. For more information, see "KafkaConfig Class" in KafkaSpout Configuration Settings: Core Storm API.

Instantiate a TridentKafkaConfig subclass instance of the KafkaConfig class. Use one of the following constructors, each of which requires an implementation of the BrokerHosts interface. For more information about BrokerHosts, see "BrokerHosts Interface" in KafkaSpout Configuration Settings: Core Storm APIs.

public TridentKafkaConfig(BrokerHosts hosts, String topic)
public TridentKafkaConfig(BrokerHosts hosts, String topic, String id)

TridentKafkaConfig Parameters


One or more hosts that are Kafka ZooKeeper broker nodes (see "BrokerHosts Interface").


Name of the Kafka topic.


Unique identifier for this spout.


The following example illustrates the use of the OpaqueTridentKafkaSpout class and related interfaces:

TridentTopology topology = new TridentTopology();
BrokerHosts zk = new ZkHosts("localhost");
TridentKafkaConfig spoutConf = new TridentKafkaConfig(zk, "test-topic");
spoutConf.scheme = new SchemeAsMultiScheme(new StringScheme());
OpaqueTridentKafkaSpout spout = new OpaqueTridentKafkaSpout(spoutConf);

In Apache Storm versions prior to 1.0, MultiScheme methods accepted a byte[] parameter instead of a ByteBuffer. In Storm version 1.0, MultiScheme and related scheme APIs changed; they now accept a ByteBuffer instead of a byte[].

As a result, Kafka spouts built with Storm versions earlier than 1.0 do not work with Storm versions 1.0 and later. When running topologies with Storm version 1.0 and later, ensure that your version of storm-kafka is at least 1.0. Rebuild pre-1.0 shaded topology .jar files that bundle storm-kafka classes with storm-kafka version 1.0 before running them in clusters with Storm 1.0 and later.