要实现Apache Flink状态函数的远程模块更新,可以按照以下步骤进行操作:
org.apache.flink
flink-streaming-java_2.11
${flink.version}
org.apache.flink
flink-statefun
${flink.version}
public class MyStatefulFunction implements StatefulFunction {
private final ValueState state;
public MyStatefulFunction(ValueState state) {
this.state = state;
}
@Override
public void invoke(Context context, Object input) {
// 从状态中读取当前值
String currentValue = state.value();
// 根据输入更新状态
String newValue = currentValue + " " + input.toString();
// 更新状态
state.update(newValue);
// 发送输出
context.send("output", newValue);
}
}
public class MyApp {
public static void main(String[] args) throws Exception {
final Configuration configuration = new Configuration();
final StatefulFunctionsJobBuilder jobBuilder = StatefulFunctionsJobBuilder.builder("my-job")
.withFunctionProvider("my-function", () -> new MyStatefulFunction())
.withModule(new MyModule());
final StatefulFunctionsJob job = jobBuilder.build(configuration);
job.submit().get();
}
public static class MyModule implements StatefulFunctionsUniverse.Module {
@Override
public void configure(Map globalConfiguration, Binder binder) {
// 绑定状态到StatefulFunction
binder.bindStatefulFunction("my-function", MyStatefulFunction.class)
.withValueState("state", String.class);
}
}
}
./bin/flink run -c com.example.MyApp my-app.jar
以上示例代码展示了如何使用Apache Flink的状态函数远程模块更新。你可以根据自己的需求进行修改和扩展。