使用java语言实现上述操作，要求输出重复数据的原始位置与重复数据的值

好的，以下是使用Java语言实现上述操作的代码示例：

import java.io.*;
import java.nio.ByteBuffer;
import java.nio.LongBuffer;
import java.nio.channels.FileChannel;
import java.util.*;

public class FileSorter {
    // 文件路径
    private static final String FILE_PATH_PREFIX = "file";
    private static final String FILE_PATH_SUFFIX = ".bin";

    // 文件大小：8GB
    private static final long FILE_SIZE = 8L * 1024 * 1024 * 1024;

    // 每个文件中元素的个数
    private static final long FILE_ELEMENT_COUNT = FILE_SIZE / Long.BYTES;

    // 文件个数：10
    private static final int FILE_COUNT = 10;

    // 缓冲区大小：1MB
    private static final int BUFFER_SIZE = 1024 * 1024;

    // 重复数据的原始位置和值
    private static final Map<Long, List<Long>> RESULT_MAP = new HashMap<>();

    public static void main(String[] args) throws Exception {
        // 生成测试数据
        generateTestData();

        // 对每个文件进行排序
        for (int i = 0; i < FILE_COUNT; i++) {
            sortFile(i);
        }

        // 查找重复数据
        for (int i = 0; i < FILE_COUNT; i++) {
            findDuplicates(i);
        }

        // 输出结果
        printResult();
    }

    // 生成测试数据
    private static void generateTestData() throws Exception {
        Random random = new Random();
        for (int i = 0; i < FILE_COUNT; i++) {
            String filePath = FILE_PATH_PREFIX + i + FILE_PATH_SUFFIX;
            try (FileOutputStream fos = new FileOutputStream(filePath);
                 FileChannel channel = fos.getChannel()) {
                ByteBuffer buffer = ByteBuffer.allocate(BUFFER_SIZE);
                LongBuffer longBuffer = buffer.asLongBuffer();
                for (long j = 0; j < FILE_ELEMENT_COUNT; j++) {
                    longBuffer.put(random.nextLong());
                    if (!buffer.hasRemaining()) {
                        buffer.flip();
                        channel.write(buffer);
                        buffer.clear();
                        longBuffer = buffer.asLongBuffer();
                    }
                }
                if (buffer.position() > 0) {
                    buffer.flip();
                    channel.write(buffer);
                }
            }
        }
    }

    // 对单个文件进行排序
    private static void sortFile(int fileIndex) throws Exception {
        String filePath = FILE_PATH_PREFIX + fileIndex + FILE_PATH_SUFFIX;
        try (RandomAccessFile raf = new RandomAccessFile(filePath, "rw");
             FileChannel channel = raf.getChannel()) {
            ByteBuffer buffer1 = ByteBuffer.allocate(BUFFER_SIZE);
            ByteBuffer buffer2 = ByteBuffer.allocate(BUFFER_SIZE);
            LongBuffer longBuffer1 = buffer1.asLongBuffer();
            LongBuffer longBuffer2 = buffer2.asLongBuffer();

            // 一次读入两个缓冲区的数据，然后进行归并排序
            long position1 = 0;
            long position2 = 0;
            while (position1 < FILE_SIZE) {
                buffer1.clear();
                buffer2.clear();
                long readSize1 = channel.read(buffer1, position1);
                long readSize2 = channel.read(buffer2, position2);
                if (readSize1 == -1 && readSize2 == -1) {
                    break;
                }
                longBuffer1.limit((int) (readSize1 / Long.BYTES));
                longBuffer2.limit((int) (readSize2 / Long.BYTES));
                mergeSort(longBuffer1, longBuffer2);
                writeBack(channel, buffer1, position1);
                writeBack(channel, buffer2, position2);
                position1 += readSize1;
                position2 += readSize2;
            }
        }
    }

    // 归并排序
    private static void mergeSort(LongBuffer buffer1, LongBuffer buffer2) {
        int size1 = buffer1.remaining();
        int size2 = buffer2.remaining();
        long[] array1 = new long[size1];
        long[] array2 = new long[size2];
        buffer1.get(array1);
        buffer2.get(array2);

        int i = 0, j = 0, k = 0;
        while (i < size1 && j < size2) {
            if (array1[i] <= array2[j]) {
                buffer1.put(k++, array1[i++]);
            } else {
                buffer1.put(k++, array2[j++]);
            }
        }
        while (i < size1) {
            buffer1.put(k++, array1[i++]);
        }
        while (j < size2) {
            buffer1.put(k++, array2[j++]);
        }
    }

    // 将缓冲区的数据写回到文件中
    private static void writeBack(FileChannel channel, ByteBuffer buffer, long position) throws Exception {
        buffer.flip();
        channel.write(buffer, position);
        buffer.clear();
    }

    // 查找重复数据
    private static void findDuplicates(int fileIndex) throws Exception {
        String filePath = FILE_PATH_PREFIX + fileIndex + FILE_PATH_SUFFIX;
        try (FileInputStream fis = new FileInputStream(filePath);
             FileChannel channel = fis.getChannel()) {
            ByteBuffer buffer = ByteBuffer.allocate(BUFFER_SIZE);
            LongBuffer longBuffer = buffer.asLongBuffer();
            while (channel.read(buffer) != -1) {
                buffer.flip();
                for (int i = 0; i < buffer.limit() / Long.BYTES; i++) {
                    long value = longBuffer.get(i);
                    if (RESULT_MAP.containsKey(value)) {
                        // 如果已经存在该值，则将当前位置加入到列表中
                        RESULT_MAP.get(value).add(i + FILE_ELEMENT_COUNT * fileIndex);
                    } else {
                        // 如果不存在，则创建新的列表
                        List<Long> list = new ArrayList<>();
                        list.add(i + FILE_ELEMENT_COUNT * fileIndex);
                        RESULT_MAP.put(value, list);
                    }
                }
                buffer.clear();
            }
        }
    }

    // 输出结果
    private static void printResult() {
        for (Map.Entry<Long, List<Long>> entry : RESULT_MAP.entrySet()) {
            Long value = entry.getKey();
            List<Long> positions = entry.getValue();
            if (positions.size() > 1) {
                System.out.println("Value: " + value + ", Positions: " + positions);
            }
        }
    }
}

上述代码中，我们使用了`ByteBuffer`和`FileChannel`来进行文件读写操作，使用了`LongBuffer`来进行归并排序，使用了哈希表来查找重复数据。在归并排序和写回缓冲区时，我们使用了两个缓冲区来进行数据归并和写回，以避免多次读写同一文件的开销。最终输出重复数据的原始位置和值。