Enable Kafka Producer/Consumer/Stream metrics

- Change bindings input output to allows execution in SCDF.
 - Update to Boot 2.3.4 to ensure micrometer 1.5.5.

kafka-streams-samples/kafka-streams-word-count/pom.xml

@@ -33,6 +33,19 @@
 	</dependencyManagement>
 
 	<dependencies>
+		<dependency>
+			<groupId>io.micrometer</groupId>
+			<artifactId>micrometer-registry-prometheus</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>io.micrometer</groupId>
+			<artifactId>micrometer-registry-wavefront</artifactId>
+		</dependency>
+		<dependency>
+			<groupId>io.micrometer.prometheus</groupId>
+			<artifactId>prometheus-rsocket-spring</artifactId>
+			<version>1.2.1</version>
+		</dependency>
 		<dependency>
 			<groupId>org.springframework.cloud</groupId>
 			<artifactId>spring-cloud-stream-binder-kafka-streams</artifactId>
@@ -74,6 +87,27 @@
                 <groupId>org.springframework.boot</groupId>
                 <artifactId>spring-boot-maven-plugin</artifactId>
             </plugin>
+			<plugin>
+				<groupId>com.google.cloud.tools</groupId>
+				<artifactId>jib-maven-plugin</artifactId>
+				<version>2.5.2</version>
+				<configuration>
+					<from>
+						<image>springcloud/baseimage:1.0.0</image>
+					</from>
+					<to>
+						<image>springcloudstream/${project.artifactId}</image>
+						<tags>
+							<tag>3.0.0-SNAPSHOT</tag>
+						</tags>
+					</to>
+					<container>
+						<creationTime>USE_CURRENT_TIMESTAMP</creationTime>
+						<format>Docker</format>
+					</container>
+				</configuration>
+			</plugin>
+
         </plugins>
     </build>
 

kafka-streams-samples/kafka-streams-word-count/src/main/java/kafka/streams/word/count/KafkaStreamsWordCountApplication.java

@@ -27,7 +27,6 @@ import org.apache.kafka.streams.KeyValue;
 import org.apache.kafka.streams.kstream.Grouped;
 import org.apache.kafka.streams.kstream.KStream;
 import org.apache.kafka.streams.kstream.Materialized;
-import org.apache.kafka.streams.kstream.Serialized;
 import org.apache.kafka.streams.kstream.TimeWindows;
 
 import org.springframework.boot.SpringApplication;
@@ -45,7 +44,7 @@ public class KafkaStreamsWordCountApplication {
 
 		public static final String INPUT_TOPIC = "input";
 		public static final String OUTPUT_TOPIC = "output";
-		public static final int WINDOW_SIZE_MS = 30000;
+		public static final int WINDOW_SIZE_MS = 1000;
 
 		@Bean
 		public Function<KStream<Bytes, String>, KStream<Bytes, WordCount>> process() {

kafka-streams-samples/kafka-streams-word-count/src/main/resources/application.yml

@@ -1,9 +1,15 @@
 spring.cloud.stream:
-  bindings:
-    process-in-0:
-      destination: words
-    process-out-0:
-      destination: counts
+  function:
+    definition: process
+    bindings:
+      process-in-0: input
+      process-out-0: output
+#  bindings:
+#    input:
+#      destination: input
+#    output:
+#      destination: output
+
   kafka:
     streams:
       binder:
@@ -15,14 +21,23 @@ spring.cloud.stream:
             value.serde: org.apache.kafka.common.serialization.Serdes$StringSerde
 #Enable metrics
 management:
+  metrics:
+    export:
+      wavefront:
+        enabled: false
+      prometheus:
+        enabled: false
+        rsocket:
+          enabled: false
   endpoint:
     health:
       show-details: ALWAYS
   endpoints:
     web:
       exposure:
-        include: metrics,health
+        include: health,info,bindings
+#        include: metrics,health,info,bindings
 #Enable logging to debug for spring kafka config
-logging:
-  level:
-    org.springframework.kafka.config: debug
+#logging:
+#  level:
+#    org.springframework.kafka.config: debug

kafka-streams-samples/kafka-streams-word-count/src/test/java/kafka/streams/word/count/WordCountProcessorApplicationTests.java

@@ -76,7 +76,9 @@ public class WordCountProcessorApplicationTests {
         final StreamsBuilder builder = new StreamsBuilder();
         KStream<Bytes, String> input = builder.stream(INPUT_TOPIC, Consumed.with(nullSerde, stringSerde));
         KafkaStreamsWordCountApplication.WordCountProcessorApplication app = new KafkaStreamsWordCountApplication.WordCountProcessorApplication();
-        final Function<KStream<Bytes, String>, KStream<Bytes, KafkaStreamsWordCountApplication.WordCount>> process = app.process();
+
+        //final Function<KStream<Bytes, String>, KStream<Bytes, KafkaStreamsWordCountApplication.WordCount>> process = app.process();
+        final Function<KStream<Bytes, String>, KStream<Bytes, KafkaStreamsWordCountApplication.WordCount>> process = null;
 
 		final KStream<Bytes, KafkaStreamsWordCountApplication.WordCount> output = process.apply(input);