e94de0d535
Restructuring the samples repository Add more docker support Add acceptance tests for the apps Adding sensor average processor sample Remove aggregate samples
36 lines
1.1 KiB
Plaintext
36 lines
1.1 KiB
Plaintext
== What is this app?
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This is an example of a Spring Cloud Stream processor using Kafka Streams support.
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The example is based on a contrived use case of tracking products by interactively querying their status.
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The program accepts product ID's and track their counts hitherto by interactively querying the underlying store. \
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This sample uses lambda expressions and thus requires Java 8+.
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=== Running the app:
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Go to the root of the repository and do:
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`docker-compose up -d`
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`./mvnw clean package`
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`java -jar target/kafka-streams-interactive-query-basic-0.0.1-SNAPSHOT.jar --app.product.tracker.productIds=123,124,125`
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The above command will track products with ID's 123,124 and 125 and print their counts seen so far every 30 seconds.
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Issue the following commands:
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`docker exec -it kafka-iq-basic /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic products`
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Enter the following in the console producer (one line at a time) and watch the output on the console (or IDE) where the application is running.
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```
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{"id":"123"}
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{"id":"124"}
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{"id":"125"}
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{"id":"123"}
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{"id":"123"}
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{"id":"123"}
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```
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