Spark自定义hadoop输入格式java泛型错误

Question

在尝试评估Spark以重用mapreduce时代现有的自定义输入格式时，我遇到了一个Java泛型问题。

import com.google.protobuf.Message;
import com.twitter.elephantbird.mapreduce.io.ProtobufWritable;
public abstract class AbstractInputFormat<K extends Message, V> extends FileInputFormat<ProtobufWritable<K>, V>
...
import com.example.MyProto; // this extends Message
public class MyInputFormat extends AbstractInputFormat<MyProto, Text> 
...
SparkConf conf = new SparkConf().setAppName("Test");
SparkContext sc = new SparkContext(conf);
JavaSparkContext jsc = JavaSparkContext.fromSparkContext(sc);
JavaPairRDD myRdd = jsc.newAPIHadoopFile(logFile, MyInputFormat.class, ProtobufWritable.class, Text.class,
                    Job.getInstance().getConfiguration());

以上导致myRdd 出现以下错误

Bound mismatch: The generic method newAPIHadoopFile(String, Class<F>, Class<K>, Class<V>, Configuration) of type JavaSparkContext is not applicable for the arguments (String, Class<MyInputFormat>, Class<ProtobufWritable>, Class<Text>, Configuration). The inferred type MyInputFormat is not a valid substitute for the bounded parameter <F extends InputFormat<K,V>>

不确定发生了什么。在我看来，我确实达到了极限？我无法发现问题？

这是正在调用的scala代码。

Answer 1

以下更改对我有效

public class MyInputFormat<K extends Message> extends AbstractInputFormat<MyProto, Text>
public abstract class AbstractInputFormat<K extends Message, V> extends FileInputFormat<ProtobufWritable<K>, V>