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I am trying out Spark Programming examples using Java 1.8 in Eclipse Luna and have the following code -

JavaPairRDD<String, Integer> counts = ones
                .reduceByKey(new Function2<Integer, Integer, Integer>() {
                    @Override
                    public Integer call(Integer i1, Integer i2) {
                        return i1 + i2;
List<Tuple2<String, Integer>> output = counts.collect(); //Compilation Error
I am using M2Eclipse to build and create the jar and using spark-submit to execute the jar in my local. The jar is working and printing the correct output but Eclipse always shows the above mentioned line as a compilation error - The type Tuple2 is not generic; it cannot be parameterized with arguments <String, Integer>
Even the programming examples referred in the Spark webpage uses the same notation for Tuple2. https://spark.apache.org/docs/0.9.0/java-programming-guide.html 
I am not able to understand why Eclipse is showing it as a compilation error since the return type of the collect call is a List<Tuple2<String,Integer>>
Any help is greatly appreciated.
                Thanks Holger... I had two scala-library jars in my buildpath. Removed one jar and the compilation errors disappeared.
– Mor Eru
                Jun 15, 2015 at 17:21
It helps on my problem on IntelliJ Idea, too. I called a function in which a parameter is a generic type with Tuple2 as a parameter. It always show an error but I can pass the compilation. It confused me for several days. After removing several dependent sharded-jars(in which it contains something related scala-libiary), the error disappeared.
        
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