使用clojure中的类型提示保留泛型类

时间:2015-08-20 15:36:00

标签: generics clojure type-hinting clojure-java-interop apache-flink

我试图从一个在clojure中运行的Apache flink中得到一个小例子,但是现在我被卡住了,因为clojure中的类型暗示和flink中的一些奇怪的怪癖。

这是我的代码:

(ns pipeline.core
 (:import
 (org.apache.flink.api.java ExecutionEnvironment)
 (org.apache.flink.api.common.functions FlatMapFunction)
 (org.apache.flink.api.java.tuple Tuple2)
 (org.apache.flink.util Collector)
 (java.lang String)))

(def flink-env (ExecutionEnvironment/createLocalEnvironment))

(def dataset (.fromElements flink-env (to-array ["please test me"])))

(defn tokenizer [] (reify FlatMapFunction
                 ( flatMap [this value collector] 
                   (println value))))

(.flatMap dataset (tokenizer))

如果我没有提供类型提示,我会收到来自flink api的错误:

Caused by: java.lang.IllegalArgumentException: The types of the interface org.apache.flink.api.common.functions.FlatMapFunction could not be inferred. Support for synthetic interfaces, lambdas, and generic types is limited at this point.
at org.apache.flink.api.java.typeutils.TypeExtractor.getParameterType(TypeExtractor.java:662)

如果我提供类型提示:

(defn tokenizer [] (reify FlatMapFunction
                 ( ^void flatMap [this ^String value ^Collector collector] 
                   (println value))))

我从clojure编译器得到错误:

Caused by: java.lang.IllegalArgumentException: Can't find matching method: flatMap, leave off hints for auto match.
at clojure.lang.Compiler$NewInstanceMethod.parse(Compiler.java:8065) 

有没有办法在clojure中使用泛型类添加类型提示? 它应该是这样的:

(defn tokenizer [] (reify FlatMapFunction
                 ( ^void flatMap [this ^String value ^Collector<Tuple2<String, Integer>> collector] 
                   (println value))))

但这并不奏效。有什么想法吗?

lein配置如下所示:

(defproject pipeline "0.1.0-SNAPSHOT"
 :description "FIXME: write description"
 :url "http://example.com/FIXME"
 :license {:name "Eclipse Public License"
        :url "http://www.eclipse.org/legal/epl-v10.html"}
 :dependencies [[org.clojure/clojure "1.7.0"]               
             [org.apache.flink/flink-java "0.9.0"]              
             ]
  :aot :all)

2 个答案:

答案 0 :(得分:3)

Clojure无法处理反射,因此您需要通过Flink方法returns手动指定返回类型。

(.returns (.flatMap dataset (tokenizer)) String)

此外,您需要使用deftype来定义tokenizer并在使用它时实例化一个新对象,因为Flink无法处理匿名类:

(deftype tokenizer [] FlatMapFunction
                      (flatMap [this value collector] 
                        (println value)))

(.flatMap dataset (tokenizer.))

这是一个完整&#34; Word-Count-Example&#34; ,可以打包到jar中并执行。

注意类型提示和强制转换。对于tokenizer输出(int 1)是必需的,否则Long将是Tuple2的第二种类型。此外,我们使用String来声明tokenizer的输出类型(类类型是不够的,因为还必须指定反射类型)。最后,我们需要输入提示(int-array [0])来解决groupBy的重载(没有它,该方法对Clojure编译器不明确)。

(ns org.apache.flink.flink-clojure.WordCount
 (:import
 (org.apache.flink.api.common.functions FlatMapFunction)
 (org.apache.flink.api.java DataSet)
 (org.apache.flink.api.java ExecutionEnvironment)
 (org.apache.flink.api.java.tuple Tuple2)
 (org.apache.flink.util Collector)
 (java.lang String))
 (:require [clojure.string :as str])
 (:gen-class))

(def flink-env (ExecutionEnvironment/createLocalEnvironment))

(def text (.fromElements flink-env (to-array ["please test me and me too"])))

(deftype tokenizer [] FlatMapFunction
                      (flatMap [this value collector]
                        (doseq [v (str/split value #"\s")]
                          (.collect collector (Tuple2. v (int 1))))))

(def tokens (.returns (.flatMap text (tokenizer.)) "Tuple2<String,Integer>"))

(def counts (.sum (.groupBy tokens (int-array [0])) 1))

(defn -main []
  (.print counts)
)

答案 1 :(得分:1)

此评论Stuck with type hints in clojure for generic class

的后续行动

使用最新的flink版本(已在1.6.1上测试),您需要定义一个自定义类,否则会出现类似以下错误:

text = "[[6... 
lines = text.split("]], [[")
reader2 = csv.reader(lines, delimiter=', ')
...

自定义类:

Exception in thread "main" java.lang.IllegalArgumentException: No matching method found: returns for class org.apache.flink.api.java.operators.FlatMapOperator, compiling:(WordCount.clj:69:13)

clojure代码

package org.apache.flink.java;

import org.apache.flink.api.java.tuple.Tuple2;


public class WordCountTuple extends Tuple2<String, Integer> {

}

示例工作在这里https://github.com/guillaume/flink-external