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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-4035) Bump Kafka producer in Kafka sink to Kafka 0.10.0.0
Date Tue, 27 Sep 2016 06:44:20 GMT

    [ https://issues.apache.org/jira/browse/FLINK-4035?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15525262#comment-15525262
] 

ASF GitHub Bot commented on FLINK-4035:
---------------------------------------

Github user tzulitai commented on a diff in the pull request:

    https://github.com/apache/flink/pull/2369#discussion_r80628475
  
    --- Diff: flink-streaming-connectors/flink-connector-kafka-0.10/src/main/java/org/apache/flink/streaming/connectors/kafka/FlinkKafkaProducer010.java
---
    @@ -0,0 +1,398 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.streaming.connectors.kafka;
    +
    +import org.apache.flink.api.common.functions.IterationRuntimeContext;
    +import org.apache.flink.api.common.functions.RichFunction;
    +import org.apache.flink.api.common.functions.RuntimeContext;
    +import org.apache.flink.api.java.typeutils.GenericTypeInfo;
    +import org.apache.flink.configuration.Configuration;
    +import org.apache.flink.streaming.api.datastream.DataStream;
    +import org.apache.flink.streaming.api.datastream.DataStreamSink;
    +import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
    +import org.apache.flink.streaming.api.functions.sink.SinkFunction;
    +import org.apache.flink.streaming.api.operators.StreamSink;
    +import org.apache.flink.streaming.connectors.kafka.partitioner.FixedPartitioner;
    +import org.apache.flink.streaming.connectors.kafka.partitioner.KafkaPartitioner;
    +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord;
    +import org.apache.flink.streaming.util.serialization.KeyedSerializationSchema;
    +import org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper;
    +import org.apache.flink.streaming.util.serialization.SerializationSchema;
    +import org.apache.kafka.clients.producer.ProducerRecord;
    +
    +import java.util.Properties;
    +
    +import static org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase.getPropertiesFromBrokerList;
    +
    +
    +/**
    + * Flink Sink to produce data into a Kafka topic. This producer is compatible with Kafka
0.10.x
    + *
    + * Implementation note: This producer is a hybrid between a regular regular sink function
(a)
    + * and a custom operator (b).
    + *
    + * For (a), the class implements the SinkFunction and RichFunction interfaces.
    + * For (b), it extends the StreamTask class.
    + *
    + * Details about approach (a):
    + *
    + *  Pre Kafka 0.10 producers only follow approach (a), allowing users to use the producer
using the
    + *  DataStream.addSink() method.
    + *  Since the APIs exposed in that variant do not allow accessing the the timestamp attached
to the record
    + *  the Kafka 0.10 producer has a second invocation option, approach (b).
    + *
    + * Details about approach (b):
    + *  Kafka 0.10 supports writing the timestamp attached to a record to Kafka. When adding
the
    + *  FlinkKafkaProducer010 using the FlinkKafkaProducer010.writeToKafkaWithTimestamps()
method, the Kafka producer
    + *  can access the internal record timestamp of the record and write it to Kafka.
    + *
    + * All methods and constructors in this class are marked with the approach they are needed
for.
    + */
    +public class FlinkKafkaProducer010<T> extends StreamSink<T> implements SinkFunction<T>,
RichFunction {
    +
    +	/**
    +	 * Flag controlling whether we are writing the Flink record's timestamp into Kafka.
    +	 */
    +	private boolean writeTimestampToKafka = false;
    +
    +	// ---------------------- "Constructors" for timestamp writing ------------------
    +
    +	/**
    +	 * Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to
    +	 * the topic.
    +	 *
    +	 * This constructor allows writing timestamps to Kafka, it follow approach (b) (see
above)
    +	 *
    +	 * @param inStream The stream to write to Kafka
    +	 * @param topicId ID of the Kafka topic.
    +	 * @param serializationSchema User defined serialization schema supporting key/value
messages
    +	 * @param producerConfig Properties with the producer configuration.
    +	 */
    +	public static <T> FlinkKafkaProducer010Configuration writeToKafkaWithTimestamps(DataStream<T>
inStream,
    +																					String topicId,
    +																					KeyedSerializationSchema<T> serializationSchema,
    +																					Properties producerConfig) {
    +		return writeToKafkaWithTimestamps(inStream, topicId, serializationSchema, producerConfig,
new FixedPartitioner<T>());
    +	}
    +
    +
    +	/**
    +	 * Creates a FlinkKafkaProducer for a given topic. the sink produces a DataStream to
    +	 * the topic.
    +	 *
    +	 * This constructor allows writing timestamps to Kafka, it follow approach (b) (see
above)
    +	 *
    +	 * @param inStream The stream to write to Kafka
    +	 * @param topicId ID of the Kafka topic.
    +	 * @param serializationSchema User defined (keyless) serialization schema.
    +	 * @param producerConfig Properties with the producer configuration.
    +	 */
    +	public static <T> FlinkKafkaProducer010Configuration writeToKafkaWithTimestamps(DataStream<T>
inStream,
    +																					String topicId,
    +																					SerializationSchema<T> serializationSchema,
    +																					Properties producerConfig) {
    +		return writeToKafkaWithTimestamps(inStream, topicId, new KeyedSerializationSchemaWrapper<>(serializationSchema),
producerConfig, new FixedPartitioner<T>());
    +	}
    +
    +	/**
    +	 * Creates a FlinkKafkaProducer for a given topic. The sink produces a DataStream to
    +	 * the topic.
    +	 *
    +	 * This constructor allows writing timestamps to Kafka, it follow approach (b) (see
above)
    +	 *
    +	 *  @param inStream The stream to write to Kafka
    +	 *  @param topicId The name of the target topic
    +	 *  @param serializationSchema A serializable serialization schema for turning user
objects into a kafka-consumable byte[] supporting key/value messages
    +	 *  @param producerConfig Configuration properties for the KafkaProducer. 'bootstrap.servers.'
is the only required argument.
    +	 *  @param customPartitioner A serializable partitioner for assigning messages to Kafka
partitions.
    +	 */
    +	public static <T> FlinkKafkaProducer010Configuration<T> writeToKafkaWithTimestamps(DataStream<T>
inStream,
    +																					   String topicId,
    +																					   KeyedSerializationSchema<T> serializationSchema,
    +																					   Properties producerConfig,
    +																					   KafkaPartitioner<T> customPartitioner) {
    --- End diff --
    
    Checkstyle failed for these few lines here, have leading spaces :P


> Bump Kafka producer in Kafka sink to Kafka 0.10.0.0
> ---------------------------------------------------
>
>                 Key: FLINK-4035
>                 URL: https://issues.apache.org/jira/browse/FLINK-4035
>             Project: Flink
>          Issue Type: Bug
>          Components: Kafka Connector
>    Affects Versions: 1.0.3
>            Reporter: Elias Levy
>            Assignee: Robert Metzger
>            Priority: Minor
>
> Kafka 0.10.0.0 introduced protocol changes related to the producer.  Published messages
now include timestamps and compressed messages now include relative offsets.  As it is now,
brokers must decompress publisher compressed messages, assign offset to them, and recompress
them, which is wasteful and makes it less likely that compression will be used at all.



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