org.apache.flink.streaming.connectors.kafka.internals

类 KafkaSerializationSchemaWrapper<T>

java.lang.Object

org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper<T>

所有已实现的接口:

Serializable, KafkaContextAware<T>, KafkaSerializationSchema<T>

@Internal
public class KafkaSerializationSchemaWrapper<T>
extends Object
implements KafkaSerializationSchema<T>, KafkaContextAware<T>

An adapter from old style interfaces such as SerializationSchema, FlinkKafkaPartitioner to the KafkaSerializationSchema.

另请参阅:

序列化表格

构造器概要

构造器

构造器和说明
KafkaSerializationSchemaWrapper(String topic, FlinkKafkaPartitioner<T> partitioner, boolean writeTimestamp, org.apache.flink.api.common.serialization.SerializationSchema<T> serializationSchema)

方法概要

限定符和类型	方法和说明
String	getTargetTopic(T element) Returns the topic that the presented element should be sent to.
void	open(org.apache.flink.api.common.serialization.SerializationSchema.InitializationContext context) Initialization method for the schema.
org.apache.kafka.clients.producer.ProducerRecord<byte[],byte[]>	serialize(T element, Long timestamp) Serializes given element and returns it as a ProducerRecord.
void	setNumParallelInstances(int numParallelInstances) Sets the parallelism with which the parallel task of the Kafka Producer runs.
void	setParallelInstanceId(int parallelInstanceId) Sets the number of the parallel subtask that the Kafka Producer is running on.
void	setPartitions(int[] partitions) Sets the available partitions for the topic returned from KafkaContextAware.getTargetTopic(Object).
void	setWriteTimestamp(boolean writeTimestamp)

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

构造器详细资料

KafkaSerializationSchemaWrapper

public KafkaSerializationSchemaWrapper(String topic,
                                       FlinkKafkaPartitioner<T> partitioner,
                                       boolean writeTimestamp,
                                       org.apache.flink.api.common.serialization.SerializationSchema<T> serializationSchema)

方法详细资料

open

public void open(org.apache.flink.api.common.serialization.SerializationSchema.InitializationContext context)
          throws Exception

从接口复制的说明: KafkaSerializationSchema

Initialization method for the schema. It is called before the actual working methods KafkaSerializationSchema.serialize(Object, Long) and thus suitable for one time setup work.

The provided SerializationSchema.InitializationContext can be used to access additional features such as e.g. registering user metrics.

指定者:

open 在接口中 KafkaSerializationSchema<T>

参数:

context - Contextual information that can be used during initialization.

抛出:

Exception

serialize

public org.apache.kafka.clients.producer.ProducerRecord<byte[],byte[]> serialize(T element,
                                                                                 @Nullable
                                                                                 Long timestamp)

从接口复制的说明: KafkaSerializationSchema

Serializes given element and returns it as a ProducerRecord.

指定者:

serialize 在接口中 KafkaSerializationSchema<T>

参数:

element - element to be serialized

timestamp - timestamp (can be null)

返回:

Kafka ProducerRecord

getTargetTopic

public String getTargetTopic(T element)

从接口复制的说明: KafkaContextAware

Returns the topic that the presented element should be sent to. This is not used for setting the topic (this is done via the ProducerRecord that is returned from KafkaSerializationSchema.serialize(Object, Long), it is only used for getting the available partitions that are presented to KafkaContextAware.setPartitions(int[]).

指定者:

getTargetTopic 在接口中 KafkaContextAware<T>

setPartitions

public void setPartitions(int[] partitions)

从接口复制的说明: KafkaContextAware

Sets the available partitions for the topic returned from KafkaContextAware.getTargetTopic(Object).

指定者:

setPartitions 在接口中 KafkaContextAware<T>

setParallelInstanceId

public void setParallelInstanceId(int parallelInstanceId)

从接口复制的说明: KafkaContextAware

Sets the number of the parallel subtask that the Kafka Producer is running on. The numbering starts from 0 and goes up to parallelism-1 (parallelism as returned by KafkaContextAware.setNumParallelInstances(int)).

指定者:

setParallelInstanceId 在接口中 KafkaContextAware<T>

setNumParallelInstances

public void setNumParallelInstances(int numParallelInstances)

从接口复制的说明: KafkaContextAware

Sets the parallelism with which the parallel task of the Kafka Producer runs.

指定者:

setNumParallelInstances 在接口中 KafkaContextAware<T>

setWriteTimestamp

public void setWriteTimestamp(boolean writeTimestamp)