From db24d1d68d2ea61326a455a142c914900e74a81d Mon Sep 17 00:00:00 2001 From: ldicarlo Date: Wed, 4 Sep 2019 16:22:00 +0200 Subject: [PATCH] Fixing Dead Link I think this link should point here, since Confluent removed kafka examples from confluentinc/examples, and put them in confluentinc/kafka-streams-examples. --- kafka-streams-samples/kafka-streams-branching/README.adoc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/kafka-streams-samples/kafka-streams-branching/README.adoc b/kafka-streams-samples/kafka-streams-branching/README.adoc index 5029fcc..e1592a3 100644 --- a/kafka-streams-samples/kafka-streams-branching/README.adoc +++ b/kafka-streams-samples/kafka-streams-branching/README.adoc @@ -2,7 +2,7 @@ This is an example of a Spring Cloud Stream processor using Kafka Streams branching support. -The example is based on the word count application from the https://github.com/confluentinc/examples/blob/3.2.x/kafka-streams/src/main/java/io/confluent/examples/streams/WordCountLambdaExample.java[reference documentation]. +The example is based on the word count application from the https://github.com/confluentinc/kafka-streams-examples/blob/5.3.0-post/src/main/java/io/confluent/examples/streams/WordCountLambdaExample.java[reference documentation]. It uses a single input and 3 output destinations. In essence, the application receives text messages from an input topic, filter them by language (English, French, Spanish and ignoring the rest), and computes word occurrence counts in a configurable time window and report that in the output topics. @@ -33,4 +33,4 @@ On another terminal: `docker exec -it kafka-branch /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic spanish-counts` Enter text ("English", "French", "Spanish" - case doesn't matter) in the console producer and watch the output in the respective console consumer. -The word "english" goes to topic english-counts, "french" goes to topic french-counts and "spanish" goes to spanish-counts. \ No newline at end of file +The word "english" goes to topic english-counts, "french" goes to topic french-counts and "spanish" goes to spanish-counts.