org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010 Java Examples
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org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010.
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Example #1
Source File: Kafka010Example.java From Flink-CEPplus with Apache License 2.0 | 6 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); StreamExecutionEnvironment env = KafkaExampleUtil.prepareExecutionEnv(parameterTool); DataStream<KafkaEvent> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), new KafkaEventSchema(), parameterTool.getProperties()) .assignTimestampsAndWatermarks(new CustomWatermarkExtractor())) .keyBy("word") .map(new RollingAdditionMapper()); input.addSink( new FlinkKafkaProducer010<>( parameterTool.getRequired("output-topic"), new KafkaEventSchema(), parameterTool.getProperties())); env.execute("Kafka 0.10 Example"); }
Example #2
Source File: Kafka010Example.java From flink with Apache License 2.0 | 6 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); StreamExecutionEnvironment env = KafkaExampleUtil.prepareExecutionEnv(parameterTool); DataStream<KafkaEvent> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), new KafkaEventSchema(), parameterTool.getProperties()) .assignTimestampsAndWatermarks(new CustomWatermarkExtractor())) .keyBy("word") .map(new RollingAdditionMapper()); input.addSink( new FlinkKafkaProducer010<>( parameterTool.getRequired("output-topic"), new KafkaEventSchema(), parameterTool.getProperties())); env.execute("Kafka 0.10 Example"); }
Example #3
Source File: Kafka010Example.java From flink with Apache License 2.0 | 6 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); StreamExecutionEnvironment env = KafkaExampleUtil.prepareExecutionEnv(parameterTool); DataStream<KafkaEvent> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), new KafkaEventSchema(), parameterTool.getProperties()) .assignTimestampsAndWatermarks(new CustomWatermarkExtractor())) .keyBy("word") .map(new RollingAdditionMapper()); input.addSink( new FlinkKafkaProducer010<>( parameterTool.getRequired("output-topic"), new KafkaEventSchema(), parameterTool.getProperties())); env.execute("Kafka 0.10 Example"); }
Example #4
Source File: FlinkKafkaSourceExample.java From huaweicloud-cs-sdk with Apache License 2.0 | 5 votes |
public void readKafka() { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setParallelism(1); DataStream<String> messageStream = env.addSource(new FlinkKafkaConsumer010<String>(topic, new SimpleStringSchema(), properties)); messageStream.rebalance().print(); try { env.execute(); }catch(Exception e) { System.out.println(e.getMessage()); } }
Example #5
Source File: KafkaSource.java From sylph with Apache License 2.0 | 5 votes |
@Override public FlinkKafkaConsumerBase<Row> getKafkaConsumerBase(List<String> topicSets, KafkaDeserializationSchema<Row> deserializationSchema, Properties properties) { //"enable.auto.commit"-> true //"auto.commit.interval.ms" -> 90000 return new FlinkKafkaConsumer010<>( topicSets, deserializationSchema, properties); }
Example #6
Source File: Kafka010SourceBuilder.java From Alink with Apache License 2.0 | 5 votes |
@Override public RichParallelSourceFunction<Row> build() { FlinkKafkaConsumer010<Row> consumer; if (!StringUtils.isNullOrWhitespaceOnly(topicPattern)) { Pattern pattern = Pattern.compile(topicPattern); consumer = new FlinkKafkaConsumer010<Row>(pattern, new MessageDeserialization(), properties); } else { consumer = new FlinkKafkaConsumer010<Row>(topic, new MessageDeserialization(), properties); } switch (super.startupMode) { case LATEST: { consumer.setStartFromLatest(); break; } case EARLIEST: { consumer.setStartFromEarliest(); break; } case GROUP_OFFSETS: { consumer.setStartFromGroupOffsets(); break; } case TIMESTAMP: { consumer.setStartFromTimestamp(startTimeMs); break; } default: { throw new IllegalArgumentException("invalid startupMode."); } } return consumer; }
Example #7
Source File: SimpleFlinkKafkaStreamingCounterDataSourceAVRO.java From jMetalSP with MIT License | 5 votes |
@Override public void run() { JMetalLogger.logger.info("Run Fink method in the streaming data source invoked") ; JMetalLogger.logger.info("TOPIC: " + topic) ; // environment.getConfig().setRestartStrategy(RestartStrategies.fixedDelayRestart(1,0)); //environment.enableCheckpointing(10); DataStream<String> data= environment.addSource( new FlinkKafkaConsumer010<String>(topic, new SimpleStringSchema(),kafkaParams)); /** * DataDeserializer<Counter> dataDeserializer = new DataDeserializer<>(); * //Object o =dataDeserializer.deserialize(value.value(),"avsc/Counter.avsc"); * //GenericData.Record rc=(GenericData.Record)o; * Counter counter = dataDeserializer.deserialize(value.value(),"avsc/Counter.avsc"); */ try { if (data != null) { Iterator<String> it = DataStreamUtils.collect(data); while (it.hasNext()) { byte [] bytes= it.next().getBytes(); DataDeserializer<Counter> dataDeserializer = new DataDeserializer<>(); Counter counter = dataDeserializer.deserialize(bytes,"avsc/Counter.avsc"); Integer number = (Integer) counter.get(0); observable.setChanged(); observable.notifyObservers(new ObservedValue<Integer>(number)); } } }catch(Exception e){ e.printStackTrace(); } }
Example #8
Source File: Kafka010DynamicSource.java From flink with Apache License 2.0 | 5 votes |
@Override protected FlinkKafkaConsumerBase<RowData> createKafkaConsumer( String topic, Properties properties, DeserializationSchema<RowData> deserializationSchema) { return new FlinkKafkaConsumer010<>(topic, deserializationSchema, properties); }
Example #9
Source File: TestAvroConsumerConfluent.java From Flink-CEPplus with Apache License 2.0 | 4 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); if (parameterTool.getNumberOfParameters() < 6) { System.out.println("Missing parameters!\n" + "Usage: Kafka --input-topic <topic> --output-topic <topic> " + "--bootstrap.servers <kafka brokers> " + "--zookeeper.connect <zk quorum> " + "--schema-registry-url <confluent schema registry> --group.id <some id>"); return; } Properties config = new Properties(); config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers")); config.setProperty("group.id", parameterTool.getRequired("group.id")); config.setProperty("zookeeper.connect", parameterTool.getRequired("zookeeper.connect")); String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url"); StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.getConfig().disableSysoutLogging(); DataStreamSource<User> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl), config).setStartFromEarliest()); SingleOutputStreamOperator<String> mapToString = input .map((MapFunction<User, String>) SpecificRecordBase::toString); FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>( parameterTool.getRequired("output-topic"), new SimpleStringSchema(), config); mapToString.addSink(stringFlinkKafkaProducer010); env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example"); }
Example #10
Source File: TestAvroConsumerConfluent.java From flink with Apache License 2.0 | 4 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); if (parameterTool.getNumberOfParameters() < 6) { System.out.println("Missing parameters!\n" + "Usage: Kafka --input-topic <topic> --output-topic <topic> " + "--bootstrap.servers <kafka brokers> " + "--zookeeper.connect <zk quorum> " + "--schema-registry-url <confluent schema registry> --group.id <some id>"); return; } Properties config = new Properties(); config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers")); config.setProperty("group.id", parameterTool.getRequired("group.id")); config.setProperty("zookeeper.connect", parameterTool.getRequired("zookeeper.connect")); String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url"); StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.getConfig().disableSysoutLogging(); DataStreamSource<User> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl), config).setStartFromEarliest()); SingleOutputStreamOperator<String> mapToString = input .map((MapFunction<User, String>) SpecificRecordBase::toString); FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>( parameterTool.getRequired("output-topic"), new SimpleStringSchema(), config); mapToString.addSink(stringFlinkKafkaProducer010); env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example"); }
Example #11
Source File: ReadFromKafka.java From flinkDemo with Apache License 2.0 | 4 votes |
public static void main(String[] args) throws Exception { // create execution environment StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); Map properties= new HashMap(); properties.put("bootstrap.servers", "192.168.10.63:6667,192.168.10.64:6667,192.168.10.65:6667"); properties.put("group.id", "dec-esc-group-vib-calc"); properties.put("enable.auto.commit", "true"); properties.put("auto.commit.interval.ms", "1000"); properties.put("auto.offset.reset", "earliest"); properties.put("session.timeout.ms", "30000"); properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer"); properties.put("topic", "dec-vibration-test"); //KafkaConsumer<String,String> kafkaConsumer = new KafkaConsumer<String, String>(properties); // parse user parameters //ParameterTool parameterTool = ParameterTool.fromArgs(args); ParameterTool parameterTool = ParameterTool.fromMap(properties); FlinkKafkaConsumer010 consumer010 = new FlinkKafkaConsumer010( parameterTool.getRequired("topic"), new SimpleStringSchema(), parameterTool.getProperties()); // consumer010.setStartFromEarliest(); DataStream<String> messageStream = env .addSource(consumer010); // print() will write the contents of the stream to the TaskManager's standard out stream // the rebelance call is causing a repartitioning of the data so that all machines // see the messages (for example in cases when "num kafka partitions" < "num flink operators" messageStream.rebalance().map(new MapFunction<String, String>() { private static final long serialVersionUID = 1L; @Override public String map(String value) throws Exception { return value; } }); messageStream.print(); env.execute(); }
Example #12
Source File: Kafka010AvroTableSource.java From df_data_service with Apache License 2.0 | 4 votes |
@Override FlinkKafkaConsumerBase<Row> getKafkaConsumer(String topic, Properties properties, DeserializationSchema<Row> deserializationSchema) { return new FlinkKafkaConsumer010<>(topic, deserializationSchema, properties); }
Example #13
Source File: Kafka010DynamicTableFactoryTest.java From flink with Apache License 2.0 | 4 votes |
@Override protected Class<?> getExpectedConsumerClass() { return FlinkKafkaConsumer010.class; }
Example #14
Source File: SimpleFlinkKafkaStreamingCounterDataSource.java From jMetalSP with MIT License | 3 votes |
@Override public void run() { JMetalLogger.logger.info("Run Fink method in the streaming data source invoked") ; JMetalLogger.logger.info("TOPIC: " + topic) ; // environment.getConfig().setRestartStrategy(RestartStrategies.fixedDelayRestart(1,0)); //environment.enableCheckpointing(10); DataStream<String> data= environment.addSource( new FlinkKafkaConsumer010<String>(topic, new SimpleStringSchema(),kafkaParams)); try { Iterator<String> it=DataStreamUtils.collect(data); while (it.hasNext()){ Integer number = Integer.parseInt(it.next()); //Integer number = it.next(); observable.setChanged(); observable.notifyObservers(new ObservedValue<Integer>(number)); } } catch (Exception e){ e.printStackTrace(); } }
Example #15
Source File: TestAvroConsumerConfluent.java From flink with Apache License 2.0 | 3 votes |
public static void main(String[] args) throws Exception { // parse input arguments final ParameterTool parameterTool = ParameterTool.fromArgs(args); if (parameterTool.getNumberOfParameters() < 6) { System.out.println("Missing parameters!\n" + "Usage: Kafka --input-topic <topic> --output-string-topic <topic> --output-avro-topic <topic> " + "--bootstrap.servers <kafka brokers> " + "--schema-registry-url <confluent schema registry> --group.id <some id>"); return; } Properties config = new Properties(); config.setProperty("bootstrap.servers", parameterTool.getRequired("bootstrap.servers")); config.setProperty("group.id", parameterTool.getRequired("group.id")); String schemaRegistryUrl = parameterTool.getRequired("schema-registry-url"); StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); DataStreamSource<User> input = env .addSource( new FlinkKafkaConsumer010<>( parameterTool.getRequired("input-topic"), ConfluentRegistryAvroDeserializationSchema.forSpecific(User.class, schemaRegistryUrl), config).setStartFromEarliest()); SingleOutputStreamOperator<String> mapToString = input .map((MapFunction<User, String>) SpecificRecordBase::toString); FlinkKafkaProducer010<String> stringFlinkKafkaProducer010 = new FlinkKafkaProducer010<>( parameterTool.getRequired("output-string-topic"), new SimpleStringSchema(), config); mapToString.addSink(stringFlinkKafkaProducer010); FlinkKafkaProducer010<User> avroFlinkKafkaProducer010 = new FlinkKafkaProducer010<>( parameterTool.getRequired("output-avro-topic"), ConfluentRegistryAvroSerializationSchema.forSpecific(User.class, parameterTool.getRequired("output-subject"), schemaRegistryUrl), config); input.addSink(avroFlinkKafkaProducer010); env.execute("Kafka 0.10 Confluent Schema Registry AVRO Example"); }