splitter: 1.1.4 - Moved code for config/init into `SplitterApplication` splitter-1.1.4
authorKai Moritz <kai@juplo.de>
Sun, 5 Feb 2023 13:27:19 +0000 (14:27 +0100)
committerKai Moritz <kai@juplo.de>
Sat, 4 May 2024 17:48:33 +0000 (19:48 +0200)
pom.xml
src/main/java/de/juplo/kafka/wordcount/splitter/SplitterApplication.java
src/main/java/de/juplo/kafka/wordcount/splitter/SplitterStreamProcessor.java

diff --git a/pom.xml b/pom.xml
index 3abaee4..2f3cb70 100644 (file)
--- a/pom.xml
+++ b/pom.xml
@@ -10,7 +10,7 @@
        </parent>
        <groupId>de.juplo.kafka.wordcount</groupId>
        <artifactId>splitter</artifactId>
-       <version>1.1.3</version>
+       <version>1.1.4</version>
        <name>Wordcount-Splitter</name>
        <description>Stream-processor of the multi-user wordcount-example, that splits the sentences up into single words</description>
        <properties>
index 491c549..f01460f 100644 (file)
@@ -1,14 +1,65 @@
 package de.juplo.kafka.wordcount.splitter;
 
+import lombok.extern.slf4j.Slf4j;
+import org.apache.kafka.clients.consumer.ConsumerConfig;
+import org.apache.kafka.common.serialization.Serdes;
+import org.apache.kafka.streams.StreamsConfig;
 import org.springframework.boot.SpringApplication;
 import org.springframework.boot.autoconfigure.SpringBootApplication;
 import org.springframework.boot.context.properties.EnableConfigurationProperties;
+import org.springframework.context.ConfigurableApplicationContext;
+import org.springframework.context.annotation.Bean;
+import org.springframework.kafka.support.serializer.JsonDeserializer;
+import org.springframework.kafka.support.serializer.JsonSerde;
+import org.springframework.kafka.support.serializer.JsonSerializer;
+
+import java.util.Properties;
+import java.util.concurrent.CompletableFuture;
+
+import static org.apache.kafka.streams.errors.StreamsUncaughtExceptionHandler.StreamThreadExceptionResponse.SHUTDOWN_CLIENT;
 
 
 @SpringBootApplication
 @EnableConfigurationProperties(SplitterApplicationProperties.class)
+@Slf4j
 public class SplitterApplication
 {
+       @Bean(initMethod = "start", destroyMethod = "stop")
+       public SplitterStreamProcessor streamProcessor(
+                       SplitterApplicationProperties properties,
+                       ConfigurableApplicationContext context)
+       {
+               Properties propertyMap = new Properties();
+
+               propertyMap.put(StreamsConfig.APPLICATION_ID_CONFIG, properties.getApplicationId());
+               propertyMap.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, properties.getBootstrapServer());
+               propertyMap.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.StringSerde.class.getName());
+               propertyMap.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JsonSerde.class.getName());
+               propertyMap.put(JsonDeserializer.TRUSTED_PACKAGES, Recording.class.getName()    );
+               propertyMap.put(JsonDeserializer.VALUE_DEFAULT_TYPE, Recording.class.getName());
+               propertyMap.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
+               propertyMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
+
+               SplitterStreamProcessor streamProcessor = new SplitterStreamProcessor(
+                               properties.getInputTopic(),
+                               properties.getOutputTopic(),
+                               propertyMap);
+
+               streamProcessor.streams.setUncaughtExceptionHandler((Throwable e) ->
+       {
+               log.error("Unexpected error!", e);
+               CompletableFuture.runAsync(() ->
+               {
+                       log.info("Stopping application...");
+                       SpringApplication.exit(context, () -> 1);
+               });
+               return SHUTDOWN_CLIENT;
+       });
+
+
+               return streamProcessor;
+       }
+
        public static void main(String[] args)
        {
                SpringApplication.run(SplitterApplication.class, args);
index 66188a7..60c569b 100644 (file)
@@ -1,31 +1,16 @@
 package de.juplo.kafka.wordcount.splitter;
 
 import lombok.extern.slf4j.Slf4j;
-import org.apache.kafka.clients.consumer.ConsumerConfig;
-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.kstream.KStream;
-import org.springframework.boot.SpringApplication;
-import org.springframework.context.ConfigurableApplicationContext;
-import org.springframework.kafka.support.serializer.JsonDeserializer;
-import org.springframework.kafka.support.serializer.JsonSerde;
-import org.springframework.kafka.support.serializer.JsonSerializer;
-import org.springframework.stereotype.Component;
 
-import jakarta.annotation.PostConstruct;
-import jakarta.annotation.PreDestroy;
 import java.util.Arrays;
 import java.util.Properties;
-import java.util.concurrent.CompletableFuture;
 import java.util.regex.Pattern;
 
-import static org.apache.kafka.streams.errors.StreamsUncaughtExceptionHandler.StreamThreadExceptionResponse.SHUTDOWN_CLIENT;
-
 
 @Slf4j
-@Component
 public class SplitterStreamProcessor
 {
        final static Pattern PATTERN = Pattern.compile("[^\\p{IsAlphabetic}]+");
@@ -34,51 +19,30 @@ public class SplitterStreamProcessor
 
 
        public SplitterStreamProcessor(
-                       SplitterApplicationProperties properties,
-                       ConfigurableApplicationContext context)
+                       String inputTopic,
+                       String outputTopic,
+                       Properties properties)
        {
                StreamsBuilder builder = new StreamsBuilder();
 
-               KStream<String, Recording> source = builder.stream(properties.getInputTopic());
+               KStream<String, Recording> source = builder.stream(inputTopic);
 
                source
                                .flatMapValues(recording -> Arrays
                                                        .stream(PATTERN.split(recording.getSentence()))
                                                        .map(word -> Word.of(recording.getUser(), word))
                                                        .toList())
-                               .to(properties.getOutputTopic());
-
-               Properties props = new Properties();
-               props.put(StreamsConfig.APPLICATION_ID_CONFIG, properties.getApplicationId());
-               props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, properties.getBootstrapServer());
-               props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.StringSerde.class.getName());
-               props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, JsonSerde.class.getName());
-               props.put(JsonDeserializer.TRUSTED_PACKAGES, Recording.class.getName()  );
-               props.put(JsonDeserializer.VALUE_DEFAULT_TYPE, Recording.class.getName());
-               props.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
-               props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
+                               .to(outputTopic);
 
-               streams = new KafkaStreams(builder.build(), props);
-               streams.setUncaughtExceptionHandler((Throwable e) ->
-               {
-                       log.error("Unexpected error!", e);
-                       CompletableFuture.runAsync(() ->
-                       {
-                               log.info("Stopping application...");
-                               SpringApplication.exit(context, () -> 1);
-                       });
-                       return SHUTDOWN_CLIENT;
-               });
+               streams = new KafkaStreams(builder.build(), properties);
        }
 
-       @PostConstruct
        public void start()
        {
                log.info("Starting Stream-Processor");
                streams.start();
        }
 
-       @PreDestroy
        public void stop()
        {
                log.info("Stopping Stream-Processor");