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This commit updates URLs to prefer the https protocol. Redirects are not followed to avoid accidentally expanding intentionally shortened URLs (i.e. if using a URL shortener). # Fixed URLs ## Fixed But Review Recommended These URLs were fixed, but the https status was not OK. However, the https status was the same as the http request or http redirected to an https URL, so they were migrated. Your review is recommended. * http://packages.confluent.io/maven/ (404) migrated to: https://packages.confluent.io/maven/ ([https](https://packages.confluent.io/maven/) result 404). ## Fixed Success These URLs were switched to an https URL with a 2xx status. While the status was successful, your review is still recommended. * http://www.apache.org/licenses/LICENSE-2.0 migrated to: https://www.apache.org/licenses/LICENSE-2.0 ([https](https://www.apache.org/licenses/LICENSE-2.0) result 200). * http://repo.spring.io/libs-milestone-local migrated to: https://repo.spring.io/libs-milestone-local ([https](https://repo.spring.io/libs-milestone-local) result 302). * http://repo.spring.io/libs-release-local migrated to: https://repo.spring.io/libs-release-local ([https](https://repo.spring.io/libs-release-local) result 302). * http://repo.spring.io/libs-snapshot-local migrated to: https://repo.spring.io/libs-snapshot-local ([https](https://repo.spring.io/libs-snapshot-local) result 302). * http://repo.spring.io/release migrated to: https://repo.spring.io/release ([https](https://repo.spring.io/release) result 302). # Ignored These URLs were intentionally ignored. * http://maven.apache.org/POM/4.0.0 * http://maven.apache.org/xsd/maven-4.0.0.xsd * http://www.w3.org/2001/XMLSchema-instance
== What is this app? This is an example of a Spring Cloud Stream processor using Kafka Streams support. This example is a Spring Cloud Stream adaptation of this Kafka Streams sample: https://github.com/confluentinc/kafka-streams-examples/blob/4.0.0-post/src/test/java/io/confluent/examples/streams/StreamToTableJoinIntegrationTest.java The application uses two inputs - one KStream for user-clicks and a KTable for user-regions. Then it joins the information from stream to table to find out total clicks per region. === Running the app: Go to the root of the repository. `docker-compose up -d` `./mvnw clean package` `java -jar target/kafka-streams-table-join-0.0.1-SNAPSHOT.jar` `docker exec -it kafka-join /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic output-topic --key-deserializer org.apache.kafka.common.serialization.StringDeserializer --value-deserializer org.apache.kafka.common.serialization.LongDeserializer --property print.key=true --property key.separator="-"` Run the stand-alone `Producers` application to generate some data and watch the output on the console consumer above.