在下面的代码示例中,我正在尝试获取员工记录流{Country,Employer,Name,Salary,Age}并在每个国家/地区倾销最高薪员工。不幸的是,多个KEY并不起作用。
只有KeyBy(雇主)反映,因此我没有得到正确的结果。 我错过了什么?
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
DataStream<Employee> streamEmployee = env.addSource(
new FlinkKafkaConsumer010<ObjectNode>("flink-demo", new JSONDeserializationSchema(), properties))
.map(new MapFunction<ObjectNode, Employee>() {
private static final long serialVersionUID = 6111226274068863916L;
@Override
public Employee map(ObjectNode value) throws Exception {
final Gson gson = new GsonBuilder().create();
Employee uMsg = gson.fromJson(value.toString(), Employee.class);
return uMsg;
}
});
KeyedStream<Employee, String> employeesKeyedByCountryndEmployer = streamEmployee
.keyBy(new KeySelector<Employee, String>() {
private static final long serialVersionUID = -6867736771747690202L;
@Override
public String getKey(Employee value) throws Exception {
// TODO Auto-generated method stub
return value.getCountry();
}
}).keyBy(new KeySelector<Employee, String>() {
private static final long serialVersionUID = -6867736771747690202L;
@Override
public String getKey(Employee value) throws Exception {
// TODO Auto-generated method stub
return value.getEmployer();
}
});
// This should display employees highly paid in a given country , for a
// given employer
DataStream<Employee> uHighlyPaidEmployee = employeesKeyedByCountryndEmployer.timeWindow(Time.seconds(5))
.maxBy("salary");
// Assume toString() is overridden , so print works well.
uHighlyPaidEmployee.print();
env.execute("Employee-employer log processor");
答案 0 :(得分:6)
您可以定义一个返回复合键的KeySelector
:
KeyedStream<Employee, Tuple2<String, String>> employeesKeyedByCountryndEmployer =
streamEmployee.keyBy(
new KeySelector<Employee, Tuple2<String, String>>() {
@Override
public Tuple2<String, String> getKey(Employee value) throws Exception {
return Tuple2.of(value.getCountry(), value.getEmployer());
}
}
);
答案 1 :(得分:0)
如果尝试用lambda表达式替换代码,则会遇到以下问题:https://ci.apache.org/projects/flink/flink-docs-stable/dev/java_lambdas.html