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Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
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Events As
Continuous Streams
Business
Transactions
Future Of Data
Stored As Events
Reconstruct A
Shopping Cart
Shopping Cart
Time Constrained
State Store
Future Of Data
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Publish & Subscribe To
Events
Store Events Process & Analyze Events
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Relational Data Store
Stream Processing
Capture Transactions
Real Time Aggregations
Publish Results
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Properties config = new Properties();
config.put(StreamsConfig.APPLICATION_ID_CONFIG, "streams-starter-app");
config.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "server-lb:9092");
config.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG,
Serdes.String().getClass());
config.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG,
Serdes.String().getClass());
KStreamBuilder builder = new KStreamBuilder();
KStream<String, String> kStream = builder.stream("input-topic-name");
// do stuff
kStream.to("word-count-output");
KafkaStreams streams = new KafkaStreams(builder, config);
streams.start();
// Do aggregation making the word as the key and count as the value
// shutdown hook to correctly close the streams application
Runtime.getRuntime().addShutdownHook(new Thread(streams::close));
0 1 2 3 4 5 6 7 8 9
0 1 2 3 4 5 6 7
0 1 2 3 4 5 6 7
P0
P1
P2
Writes
Topic Logs
spring.cloud.stream.kafka.binder.brokers=<Broker LB>
spring.cloud.stream.kafka.streams.binder.configuration.default.key.serde=or
g.apache.kafka.common.serialization.Serdes$StringSerde
spring.cloud.stream.kafka.streams.binder.configuration.default.value.serde
=org.apache.kafka.common.serialization.Serdes$StringSerde
spring.cloud.stream.bindings.input.destination=input-topic-name
@StreamListener
@SendTo (Binding.OUTPUT)
public KStream<String, Integer> wordCountProcessing (
@Input (Binding.INPUT) KStream<String, String> wordStream)
{
}
Maven Dependency:
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-stream-binder-kafka</artifactId>
</dependency>
Code:
/**
* Constructor with bindings to the output channel for the order topic
* @param binding
*/
public OrderService(ResourceBinding binding) {
this.orderOut = binding.orderOut();
}
public String createOrder(OrderDTO orderDTO)
{
orderOut.send(MessageBuilder.withPayload(order).setHeader("kafka_message
Key", order.getOrderID()).build());
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Topic A Partition 0
Topic A Partition 0
Producer Consumer
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
lineItemStream = orderEventStream
.filter((key, value) -> value.getState().equals(State.placed))
.flatMapValues(value -> value.getLineItems())
.selectKey((orderId, lineItem) -> lineItem.getSku().toString())
.join(inventoryStream, new KeyValueMapper<String, LineItem, String>() {
@Override
public String apply(String key, LineItem value) {
log.info("Sku Key " + key.toString());
return key;
}
}, new ValueJoiner<LineItem, Inventory, LineItem>() {
@Override
public LineItem apply(LineItem value1, Inventory value2) {
if (value2.getQuantity() > 0) {
value1.setState(LineItemState.validated);
} else {
value1.setState(LineItemState.insufficient_inventory);
}
return value1;
}
});
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Event Driven Systems with Spring Boot, Spring Cloud Streams and Kafka
Name Account Balance
Alice $100
Bob $200
Domain Event
Alice gives Bob $50
Bob give Alice $100
Name Account Balance
Alice $150
Bob $150
Change Log Event Stream
Alice’s Acct. Balance is $50
Bob’s Acct. Balance is $250
Alice’s Acct. Balance is $150
Bob’s Acct Balance is $150
Current State
https://spring.io/guides/gs/spring-cloud-stream/
https://www.confluent.io/designing-event-driven-systems
https://www.youtube.com/watch?v=P0SEOL_AGro&t=493s
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