无法使用 WindowStream.apply() 函数应用 WindowFunction [英] WindowFunction cannot be applied using WindowStream.apply() function
问题描述
我对使用 Apache Flink 和 Scala 还比较陌生,我刚刚开始掌握一些基本功能.我在尝试实现自定义 WindowFunction
时遇到了障碍.
I'm relatively new to using Apache Flink and Scala, and am just getting to grips with some of the basic functionality. I've hit a wall trying to implement a custom WindowFunction
.
问题是,当我尝试实现自定义 WindowFunction
时,IDE 在.apply()"函数上给出错误
The problem is that when I try to implement a custom WindowFunction
the IDE gives an error on the ".apply()" function
Cannot resolve symbol apply
Unspecified value parameters: foldFunction: (NotInferedR, Data.Fingerprint) => NotInferedR, windowFunction: (Tuple, TimeWindow, Iterable[NotInferedR], Collector[NotInferedR]) => Unit
Unspecified value parameters: foldFunction: FoldFunction[Data.Fingerprint, NotInferedR], function: WindowFunction[NotInferedR, NotInferedR, Tuple, TimeWindow]
Unspecified value parameters: function: WindowFunction[Data.Fingerprint, NotInferedR, Tuple, TimeWindow]
Unspecified value parameters: windowFunction: (Tuple, TimeWindow, Iterable[Data.Fingerprint], Collector[NotInferedR]) => Unit
Type mismatch, expected: (Tuple, TimeWindow, Iterable[Data.Fingerprint], Collector[NotInferedR]) => Unit, actual: DataTimeWindow.DataWindow
Type mismatch, expected: WindowFunction[Data.Fingerprint, NotInferedR, Tuple, TimeWindow], actual: DataTimeWindow.DataWindow
这是我的代码:
val test = hashMap
.keyBy("hash")
.timeWindow(Time.minutes(1))
.apply(new DataWindow())
这是WindowFunction
:
class DataWindow extends WindowFunction[Data.Fingerprint, String, String, TimeWindow] {
override def apply(key: String,
window: TimeWindow,
input: Iterable[Fingerprint],
out: Collector[String]) {
out.collect("helo")
}
}
推荐答案
我认为问题出在 WindowFunction
的第三个类型参数,即键的类型.因为您在 keyBy
方法中将键声明为 String (keyBy("hash")
),所以无法在编译时确定键的类型.有两种方法可以解决此问题:
I think the problem is with the third type parameter of the WindowFunction
, i.e., the type of the key. Because you declare the key in the keyBy
method as String (keyBy("hash")
), it is not possible to determine the type of the key at compile time. There are two options to resolve this:
- 使用
keyBy
中的KeySelector
函数来提取密钥(类似于keyBy(x: FingerPrint => x.hash)
).KeySelector
函数的返回类型在编译时已知,因此您可以使用类型化的WindowFunction
. - 将
WindowFunction
的第三个类型参数的类型改为Tuple
.Tuple
是keyBy
提取的密钥的通用持有者.在您的情况下,它将是Tuple1
并且可以通过Tuple1.f0
访问哈希字符串.
- Use a
KeySelector
function inkeyBy
to extract the key (something likekeyBy(x: FingerPrint => x.hash)
). The return type of theKeySelector
function is known at compile time such that you can use a typedWindowFunction
. - Change the type of the third type parameter of the
WindowFunction
toTuple
.Tuple
is a generic holder for the keys extracted bykeyBy
. In your case it will be aTuple1
and the hash String can be accessed byTuple1.f0
.
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