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Delete KafkaStreamsLiveTest.java 

duplicate of the test in libraries-data
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Loredana Crusoveanu 2021-05-20 10:05:01 +03:00 committed by GitHub
parent cdfc2a8e05
commit 26a0faff46
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libraries-6/src/test/java/com/baeldung/kafkastreams/KafkaStreamsLiveTest.java
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package com.baeldung.kafkastreams;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.Serde;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.KafkaStreams;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.StreamsConfig;
import org.apache.kafka.streams.Topology;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.KTable;
import org.apache.kafka.streams.kstream.Produced;
import org.apache.kafka.test.TestUtils;
import org.junit.Ignore;
import org.junit.Test;
import java.util.Arrays;
import java.util.Properties;
import java.util.regex.Pattern;
public class KafkaStreamsLiveTest {
private String bootstrapServers = "localhost:9092";
@Test
@Ignore("it needs to have kafka broker running on local")
public void shouldTestKafkaStreams() throws InterruptedException {
// given
String inputTopic = "inputTopic";
Properties streamsConfiguration = new Properties();
streamsConfiguration.put(StreamsConfig.APPLICATION_ID_CONFIG, "wordcount-live-test");
streamsConfiguration.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
streamsConfiguration.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
streamsConfiguration.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
streamsConfiguration.put(StreamsConfig.COMMIT_INTERVAL_MS_CONFIG, 1000);
streamsConfiguration.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
// Use a temporary directory for storing state, which will be automatically removed after the test.
streamsConfiguration.put(StreamsConfig.STATE_DIR_CONFIG, TestUtils.tempDirectory().getAbsolutePath());
// when
StreamsBuilder builder = new StreamsBuilder();
KStream<String, String> textLines = builder.stream(inputTopic);
Pattern pattern = Pattern.compile("\\W+", Pattern.UNICODE_CHARACTER_CLASS);
KTable<String, Long> wordCounts = textLines.flatMapValues(value -> Arrays.asList(pattern.split(value.toLowerCase()))).groupBy((key, word) -> word).count();
textLines.foreach((word, count) -> System.out.println("word: " + word + " -> " + count));
String outputTopic = "outputTopic";
final Serde<String> stringSerde = Serdes.String();
final Serde<String> longSerde = Serdes.String();
textLines.to(outputTopic, Produced.with(stringSerde,longSerde));
KafkaStreams streams = new KafkaStreams(new Topology(), streamsConfiguration);
streams.start();
// then
Thread.sleep(30000);
streams.close();
}
}