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September 9, 2017 06:51
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kafka streams workdcount example
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package org.apache.kafka.example; | |
import org.apache.kafka.common.serialization.Serdes; | |
import org.apache.kafka.streams.KafkaStreams; | |
import org.apache.kafka.streams.StreamsConfig; | |
import org.apache.kafka.streams.kstream.KStream; | |
import org.apache.kafka.streams.kstream.KStreamBuilder; | |
import org.apache.kafka.streams.kstream.KTable; | |
import java.util.Arrays; | |
import java.util.Properties; | |
public class WordCountApplication { | |
public static void main(final String[] args) throws Exception { | |
Properties config = new Properties(); | |
config.put(StreamsConfig.APPLICATION_ID_CONFIG, "wordcount-application"); | |
config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092"); | |
config.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass()); | |
config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass()); | |
KStreamBuilder builder = new KStreamBuilder(); | |
KStream<String, String> textLines = builder.stream("TextLinesTopic"); | |
KTable<String, Long> wordCounts = textLines | |
.flatMapValues(textLine -> Arrays.asList(textLine.toLowerCase().split("\\W+"))) | |
.groupBy((key, word) -> word) | |
.count("Counts"); | |
wordCounts.to(Serdes.String(), Serdes.Long(), "WordsWithCountsTopic"); | |
KafkaStreams streams = new KafkaStreams(builder, config); | |
streams.start(); | |
} | |
} |
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