org.apache.flink.streaming.connectors.kafka

Class FlinkKafkaProducer011<IN>

java.lang.Object

org.apache.flink.api.common.functions.AbstractRichFunction

org.apache.flink.streaming.api.functions.sink.RichSinkFunction<IN>

org.apache.flink.streaming.api.functions.sink.TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011<IN>

All Implemented Interfaces:

Serializable, Function, RichFunction, CheckpointListener, CheckpointedFunction, SinkFunction<IN>

@PublicEvolving
public class FlinkKafkaProducer011<IN>
extends TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Flink Sink to produce data into a Kafka topic. This producer is compatible with Kafka 0.11.x. By default producer will use FlinkKafkaProducer011.Semantic.AT_LEAST_ONCE semantic. Before using FlinkKafkaProducer011.Semantic.EXACTLY_ONCE please refer to Flink's Kafka connector documentation.

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	FlinkKafkaProducer011.ContextStateSerializer TypeSerializer for FlinkKafkaProducer011.KafkaTransactionContext.
static class	FlinkKafkaProducer011.KafkaTransactionContext Context associated to this instance of the FlinkKafkaProducer011.
static class	FlinkKafkaProducer011.NextTransactionalIdHint Keep information required to deduce next safe to use transactional id.
static class	FlinkKafkaProducer011.Semantic Semantics that can be chosen.
static class	FlinkKafkaProducer011.TransactionStateSerializer TypeSerializer for KafkaTransactionState.

Nested classes/interfaces inherited from class org.apache.flink.streaming.api.functions.sink.TwoPhaseCommitSinkFunction

TwoPhaseCommitSinkFunction.State<TXN,CONTEXT>, TwoPhaseCommitSinkFunction.StateSerializer<TXN,CONTEXT>, TwoPhaseCommitSinkFunction.StateSerializerConfigSnapshot<TXN,CONTEXT>, TwoPhaseCommitSinkFunction.TransactionHolder<TXN>

Nested classes/interfaces inherited from interface org.apache.flink.streaming.api.functions.sink.SinkFunction

SinkFunction.Context<T>

Field Summary

Fields

Modifier and Type	Field and Description
static int	DEFAULT_KAFKA_PRODUCERS_POOL_SIZE Default number of KafkaProducers in the pool.
static Time	DEFAULT_KAFKA_TRANSACTION_TIMEOUT Default value for kafka transaction timeout.
static String	KEY_DISABLE_METRICS Configuration key for disabling the metrics reporting.
static int	SAFE_SCALE_DOWN_FACTOR This coefficient determines what is the safe scale down factor.

Fields inherited from class org.apache.flink.streaming.api.functions.sink.TwoPhaseCommitSinkFunction

pendingCommitTransactions, state, userContext

Constructor Summary

Constructors

Constructor and Description
FlinkKafkaProducer011(String topicId, KeyedSerializationSchema<IN> serializationSchema, Properties producerConfig) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String topicId, KeyedSerializationSchema<IN> serializationSchema, Properties producerConfig, FlinkKafkaProducer011.Semantic semantic) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String defaultTopicId, KeyedSerializationSchema<IN> serializationSchema, Properties producerConfig, Optional<FlinkKafkaPartitioner<IN>> customPartitioner) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String defaultTopicId, KeyedSerializationSchema<IN> serializationSchema, Properties producerConfig, Optional<FlinkKafkaPartitioner<IN>> customPartitioner, FlinkKafkaProducer011.Semantic semantic, int kafkaProducersPoolSize) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String topicId, SerializationSchema<IN> serializationSchema, Properties producerConfig) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String topicId, SerializationSchema<IN> serializationSchema, Properties producerConfig, Optional<FlinkKafkaPartitioner<IN>> customPartitioner) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String brokerList, String topicId, KeyedSerializationSchema<IN> serializationSchema) Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer011(String brokerList, String topicId, SerializationSchema<IN> serializationSchema) Creates a FlinkKafkaProducer for a given topic.

Method Summary

Modifier and Type	Method and Description
protected void	abort(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction) Abort a transaction.
protected org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState	beginTransaction() Method that starts a new transaction.
void	close() Tear-down method for the user code.
protected void	commit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction) Commit a pre-committed transaction.
protected void	finishRecoveringContext()
FlinkKafkaProducer011<IN>	ignoreFailuresAfterTransactionTimeout() Disables the propagation of exceptions thrown when committing presumably timed out Kafka transactions during recovery of the job.
void	initializeState(FunctionInitializationContext context) This method is called when the parallel function instance is created during distributed execution.
protected Optional<FlinkKafkaProducer011.KafkaTransactionContext>	initializeUserContext()
void	invoke(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction, IN next, SinkFunction.Context context) Write value within a transaction.
void	open(Configuration configuration) Initializes the connection to Kafka.
protected void	preCommit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction) Pre commit previously created transaction.
protected void	recoverAndAbort(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction) Abort a transaction that was rejected by a coordinator after a failure.
protected void	recoverAndCommit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction) Invoked on recovered transactions after a failure.
void	setLogFailuresOnly(boolean logFailuresOnly) Defines whether the producer should fail on errors, or only log them.
void	setWriteTimestampToKafka(boolean writeTimestampToKafka) If set to true, Flink will write the (event time) timestamp attached to each record into Kafka.
void	snapshotState(FunctionSnapshotContext context) This method is called when a snapshot for a checkpoint is requested.

Methods inherited from class org.apache.flink.streaming.api.functions.sink.TwoPhaseCommitSinkFunction

currentTransaction, enableTransactionTimeoutWarnings, getUserContext, invoke, invoke, notifyCheckpointComplete, pendingTransactions, setTransactionTimeout

Methods inherited from class org.apache.flink.api.common.functions.AbstractRichFunction

getIterationRuntimeContext, getRuntimeContext, setRuntimeContext

Methods inherited from class java.lang.Object

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

Field Detail

SAFE_SCALE_DOWN_FACTOR

public static final int SAFE_SCALE_DOWN_FACTOR

This coefficient determines what is the safe scale down factor.

If the Flink application previously failed before first checkpoint completed or we are starting new batch of FlinkKafkaProducer011 from scratch without clean shutdown of the previous one, FlinkKafkaProducer011 doesn't know what was the set of previously used Kafka's transactionalId's. In that case, it will try to play safe and abort all of the possible transactionalIds from the range of: [0, getNumberOfParallelSubtasks() * kafkaProducersPoolSize * SAFE_SCALE_DOWN_FACTOR)

The range of available to use transactional ids is: [0, getNumberOfParallelSubtasks() * kafkaProducersPoolSize)

This means that if we decrease getNumberOfParallelSubtasks() by a factor larger then SAFE_SCALE_DOWN_FACTOR we can have a left some lingering transaction.

See Also:

Constant Field Values

DEFAULT_KAFKA_PRODUCERS_POOL_SIZE

public static final int DEFAULT_KAFKA_PRODUCERS_POOL_SIZE

Default number of KafkaProducers in the pool. See FlinkKafkaProducer011.Semantic.EXACTLY_ONCE.

See Also:

Constant Field Values

DEFAULT_KAFKA_TRANSACTION_TIMEOUT

public static final Time DEFAULT_KAFKA_TRANSACTION_TIMEOUT

Default value for kafka transaction timeout.

KEY_DISABLE_METRICS

public static final String KEY_DISABLE_METRICS

Configuration key for disabling the metrics reporting.

See Also:

Constant Field Values

Constructor Detail

FlinkKafkaProducer011

public FlinkKafkaProducer011(String brokerList,
                             String topicId,
                             SerializationSchema<IN> serializationSchema)

Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to the topic.

Parameters:

brokerList - Comma separated addresses of the brokers

topicId - ID of the Kafka topic.

serializationSchema - User defined (keyless) serialization schema.

FlinkKafkaProducer011

public FlinkKafkaProducer011(String topicId,
                             SerializationSchema<IN> serializationSchema,
                             Properties producerConfig)

Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to the topic.

Using this constructor, the default FlinkFixedPartitioner will be used as the partitioner. This default partitioner maps each sink subtask to a single Kafka partition (i.e. all records received by a sink subtask will end up in the same Kafka partition).

To use a custom partitioner, please use FlinkKafkaProducer011(String, SerializationSchema, Properties, Optional) instead.

Parameters:

topicId - ID of the Kafka topic.

serializationSchema - User defined key-less serialization schema.

producerConfig - Properties with the producer configuration.

FlinkKafkaProducer011

public FlinkKafkaProducer011(String topicId,
                             SerializationSchema<IN> serializationSchema,
                             Properties producerConfig,
                             Optional<FlinkKafkaPartitioner<IN>> customPartitioner)

Creates a FlinkKafkaProducer for a given topic. The sink produces its input to the topic. It accepts a key-less SerializationSchema and possibly a custom FlinkKafkaPartitioner.

Since a key-less SerializationSchema is used, all records sent to Kafka will not have an attached key. Therefore, if a partitioner is also not provided, records will be distributed to Kafka partitions in a round-robin fashion.

Parameters:

topicId - The topic to write data to

serializationSchema - A key-less serializable serialization schema for turning user objects into a kafka-consumable byte[]

producerConfig - Configuration properties for the KafkaProducer. 'bootstrap.servers.' is the only required argument.

customPartitioner - A serializable partitioner for assigning messages to Kafka partitions. If a partitioner is not provided, records will be distributed to Kafka partitions in a round-robin fashion.

FlinkKafkaProducer011

public FlinkKafkaProducer011(String brokerList,
                             String topicId,
                             KeyedSerializationSchema<IN> serializationSchema)

Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to the topic.

Using this constructor, the default FlinkFixedPartitioner will be used as the partitioner. This default partitioner maps each sink subtask to a single Kafka partition (i.e. all records received by a sink subtask will end up in the same Kafka partition).

To use a custom partitioner, please use FlinkKafkaProducer011(String, KeyedSerializationSchema, Properties, Optional) instead.

Parameters:

brokerList - Comma separated addresses of the brokers

topicId - ID of the Kafka topic.

serializationSchema - User defined serialization schema supporting key/value messages

FlinkKafkaProducer011

public FlinkKafkaProducer011(String topicId,
                             KeyedSerializationSchema<IN> serializationSchema,
                             Properties producerConfig)

Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to the topic.

Using this constructor, the default FlinkFixedPartitioner will be used as the partitioner. This default partitioner maps each sink subtask to a single Kafka partition (i.e. all records received by a sink subtask will end up in the same Kafka partition).

To use a custom partitioner, please use FlinkKafkaProducer011(String, KeyedSerializationSchema, Properties, Optional) instead.

Parameters:

topicId - ID of the Kafka topic.

serializationSchema - User defined serialization schema supporting key/value messages

producerConfig - Properties with the producer configuration.

FlinkKafkaProducer011

public FlinkKafkaProducer011(String topicId,
                             KeyedSerializationSchema<IN> serializationSchema,
                             Properties producerConfig,
                             FlinkKafkaProducer011.Semantic semantic)

Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to the topic.

Using this constructor, the default FlinkFixedPartitioner will be used as the partitioner. This default partitioner maps each sink subtask to a single Kafka partition (i.e. all records received by a sink subtask will end up in the same Kafka partition).

To use a custom partitioner, please use FlinkKafkaProducer011(String, KeyedSerializationSchema, Properties, Optional, Semantic, int) instead.

Parameters:

topicId - ID of the Kafka topic.

serializationSchema - User defined serialization schema supporting key/value messages

producerConfig - Properties with the producer configuration.

semantic - Defines semantic that will be used by this producer (see FlinkKafkaProducer011.Semantic).

FlinkKafkaProducer011

public FlinkKafkaProducer011(String defaultTopicId,
                             KeyedSerializationSchema<IN> serializationSchema,
                             Properties producerConfig,
                             Optional<FlinkKafkaPartitioner<IN>> customPartitioner)

Creates a FlinkKafkaProducer for a given topic. The sink produces its input to the topic. It accepts a keyed KeyedSerializationSchema and possibly a custom FlinkKafkaPartitioner.

If a partitioner is not provided, written records will be partitioned by the attached key of each record (as determined by KeyedSerializationSchema.serializeKey(Object)). If written records do not have a key (i.e., KeyedSerializationSchema.serializeKey(Object) returns null), they will be distributed to Kafka partitions in a round-robin fashion.

Parameters:

defaultTopicId - The default topic to write data to

serializationSchema - A serializable serialization schema for turning user objects into a kafka-consumable byte[] supporting key/value messages

producerConfig - Configuration properties for the KafkaProducer. 'bootstrap.servers.' is the only required argument.

customPartitioner - A serializable partitioner for assigning messages to Kafka partitions. If a partitioner is not provided, records will be partitioned by the key of each record (determined by KeyedSerializationSchema.serializeKey(Object)). If the keys are null, then records will be distributed to Kafka partitions in a round-robin fashion.

FlinkKafkaProducer011

public FlinkKafkaProducer011(String defaultTopicId,
                             KeyedSerializationSchema<IN> serializationSchema,
                             Properties producerConfig,
                             Optional<FlinkKafkaPartitioner<IN>> customPartitioner,
                             FlinkKafkaProducer011.Semantic semantic,
                             int kafkaProducersPoolSize)

Creates a FlinkKafkaProducer for a given topic. The sink produces its input to the topic. It accepts a keyed KeyedSerializationSchema and possibly a custom FlinkKafkaPartitioner.

If a partitioner is not provided, written records will be partitioned by the attached key of each record (as determined by KeyedSerializationSchema.serializeKey(Object)). If written records do not have a key (i.e., KeyedSerializationSchema.serializeKey(Object) returns null), they will be distributed to Kafka partitions in a round-robin fashion.

Parameters:

defaultTopicId - The default topic to write data to

serializationSchema - A serializable serialization schema for turning user objects into a kafka-consumable byte[] supporting key/value messages

producerConfig - Configuration properties for the KafkaProducer. 'bootstrap.servers.' is the only required argument.

customPartitioner - A serializable partitioner for assigning messages to Kafka partitions. If a partitioner is not provided, records will be partitioned by the key of each record (determined by KeyedSerializationSchema.serializeKey(Object)). If the keys are null, then records will be distributed to Kafka partitions in a round-robin fashion.

semantic - Defines semantic that will be used by this producer (see FlinkKafkaProducer011.Semantic).

kafkaProducersPoolSize - Overwrite default KafkaProducers pool size (see FlinkKafkaProducer011.Semantic.EXACTLY_ONCE).

Method Detail

setWriteTimestampToKafka

public void setWriteTimestampToKafka(boolean writeTimestampToKafka)

If set to true, Flink will write the (event time) timestamp attached to each record into Kafka. Timestamps must be positive for Kafka to accept them.

Parameters:

writeTimestampToKafka - Flag indicating if Flink's internal timestamps are written to Kafka.

setLogFailuresOnly

public void setLogFailuresOnly(boolean logFailuresOnly)

Defines whether the producer should fail on errors, or only log them. If this is set to true, then exceptions will be only logged, if set to false, exceptions will be eventually thrown and cause the streaming program to fail (and enter recovery).

Parameters:

logFailuresOnly - The flag to indicate logging-only on exceptions.

ignoreFailuresAfterTransactionTimeout

public FlinkKafkaProducer011<IN> ignoreFailuresAfterTransactionTimeout()

Disables the propagation of exceptions thrown when committing presumably timed out Kafka transactions during recovery of the job. If a Kafka transaction is timed out, a commit will never be successful. Hence, use this feature to avoid recovery loops of the Job. Exceptions will still be logged to inform the user that data loss might have occurred.

Note that we use System.currentTimeMillis() to track the age of a transaction. Moreover, only exceptions thrown during the recovery are caught, i.e., the producer will attempt at least one commit of the transaction before giving up.

Overrides:

ignoreFailuresAfterTransactionTimeout in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

open

public void open(Configuration configuration)
          throws Exception

Initializes the connection to Kafka.

Specified by:

open in interface RichFunction

Overrides:

open in class AbstractRichFunction

Parameters:

configuration - The configuration containing the parameters attached to the contract.

Throws:

Exception - Implementations may forward exceptions, which are caught by the runtime. When the runtime catches an exception, it aborts the task and lets the fail-over logic decide whether to retry the task execution.

See Also:

Configuration

invoke

public void invoke(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction,
                   IN next,
                   SinkFunction.Context context)
            throws FlinkKafka011Exception

Description copied from class: TwoPhaseCommitSinkFunction

Write value within a transaction.

Specified by:

invoke in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Throws:

FlinkKafka011Exception

close

public void close()
           throws FlinkKafka011Exception

Description copied from interface: RichFunction

Tear-down method for the user code. It is called after the last call to the main working methods (e.g. map or join). For functions that are part of an iteration, this method will be invoked after each iteration superstep.

This method can be used for clean up work.

Specified by:

close in interface RichFunction

Overrides:

close in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Throws:

FlinkKafka011Exception

beginTransaction

protected org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState beginTransaction()
                                                                                                            throws FlinkKafka011Exception

Description copied from class: TwoPhaseCommitSinkFunction

Method that starts a new transaction.

Specified by:

beginTransaction in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Returns:

newly created transaction.

Throws:

FlinkKafka011Exception

preCommit

protected void preCommit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction)
                  throws FlinkKafka011Exception

Description copied from class: TwoPhaseCommitSinkFunction

Pre commit previously created transaction. Pre commit must make all of the necessary steps to prepare the transaction for a commit that might happen in the future. After this point the transaction might still be aborted, but underlying implementation must ensure that commit calls on already pre committed transactions will always succeed.

Usually implementation involves flushing the data.

Specified by:

preCommit in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Throws:

FlinkKafka011Exception

commit

protected void commit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction)

Description copied from class: TwoPhaseCommitSinkFunction

Commit a pre-committed transaction. If this method fail, Flink application will be restarted and TwoPhaseCommitSinkFunction.recoverAndCommit(Object) will be called again for the same transaction.

Specified by:

commit in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

recoverAndCommit

protected void recoverAndCommit(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction)

Description copied from class: TwoPhaseCommitSinkFunction

Invoked on recovered transactions after a failure. User implementation must ensure that this call will eventually succeed. If it fails, Flink application will be restarted and it will be invoked again. If it does not succeed eventually, a data loss will occur. Transactions will be recovered in an order in which they were created.

Overrides:

recoverAndCommit in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

abort

protected void abort(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction)

Description copied from class: TwoPhaseCommitSinkFunction

Abort a transaction.

Specified by:

abort in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

recoverAndAbort

protected void recoverAndAbort(org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState transaction)

Description copied from class: TwoPhaseCommitSinkFunction

Abort a transaction that was rejected by a coordinator after a failure.

Overrides:

recoverAndAbort in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

snapshotState

public void snapshotState(FunctionSnapshotContext context)
                   throws Exception

Description copied from interface: CheckpointedFunction

This method is called when a snapshot for a checkpoint is requested. This acts as a hook to the function to ensure that all state is exposed by means previously offered through FunctionInitializationContext when the Function was initialized, or offered now by FunctionSnapshotContext itself.

Specified by:

snapshotState in interface CheckpointedFunction

Overrides:

snapshotState in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Parameters:

context - the context for drawing a snapshot of the operator

Throws:

Exception

initializeState

public void initializeState(FunctionInitializationContext context)
                     throws Exception

Description copied from interface: CheckpointedFunction

This method is called when the parallel function instance is created during distributed execution. Functions typically set up their state storing data structures in this method.

Specified by:

initializeState in interface CheckpointedFunction

Overrides:

initializeState in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

Parameters:

context - the context for initializing the operator

Throws:

Exception

initializeUserContext

protected Optional<FlinkKafkaProducer011.KafkaTransactionContext> initializeUserContext()

Overrides:

initializeUserContext in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>

finishRecoveringContext

protected void finishRecoveringContext()

Overrides:

finishRecoveringContext in class TwoPhaseCommitSinkFunction<IN,org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.KafkaTransactionState,FlinkKafkaProducer011.KafkaTransactionContext>