转:http://jackyin5918.iteye.com/blog/2024231
package io; import java.io.File; import java.io.RandomAccessFile; import java.nio.ByteBuffer; import java.nio.MappedByteBuffer; import java.nio.channels.FileChannel; import java.nio.channels.FileChannel.MapMode; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; /** * Java NIO(内存映射文件) 与 传统IO 读取 性能测试 * * 读取 RandomAccessFile 类读写测试及其性能优化(一) * (链接 http://jackyin5918.iteye.com/blog/2022888 )中 * GenerateIntArray 生成的并保存到文件的数据. * 测试时读取1千万个整型构成的二进制文件38.1M * * 由测试结果分析可知: * * readData(f) -- 普通IO方式读取 * readDataNIO(f) -- NIO Channel,Buffer方式读取 * readDataNIO_D(f) -- NIO中Buffer使用 直接方式分配空间(allocateDirect) * readDataMap_M(f) -- 多线程中使用 内存映射文件 * readDataMap(f) -- 单线程中使用内存映射文件读取 * * NIO方式使用直接分配Buffer空间方式读取性能最好,甚至超过了内存映射文件 * (可能是文件还不够大,如果文件达到1000M以上应该是内存映射文件性能最好). * * 普通NIO方式 耗时 是NIO_D方式的2倍. * * 传统IO方式读取文件,耗时 是NIO的 上百倍. * * 内存映射文件,在文件较大(大小达到几十M时)可以显著提升性能. * 多线程中使用内存映射文件 没有 提高性能. ----------------------测试结果--------- count = 1000, size = 10000 正在读取数据,请稍后... readData(f) 读取数据成功, 耗时:411326 正在读取数据,请稍后... readDataNIO_D(f) 读取数据成功, 耗时:4161 正在读取数据,请稍后... readDataNIO(f) 读取数据成功, 耗时:10645 正在读取数据,请稍后... readDataMap_M(f) 读取数据成功, 耗时:6682 正在读取数据,请稍后... readDataMap 读取数据成功, 耗时:4841 */ public class GetTheMiddle { private int count = 10; // 数组的个数, private int size = 1000; // 每个数组的元素个数 private int[][] dataArr; public GetTheMiddle() { dataArr = new int[count][size]; } public GetTheMiddle(int count, int size) { this.count = count; this.size = size; this.dataArr = new int[count][size]; } public int[][] getDataArr() { return dataArr; } public int[][] readData(File f) { try { RandomAccessFile rf = new RandomAccessFile(f, "r"); for (int i = 0; i < count; i++) { for (int j = 0; j < size; j++) { dataArr[i][j] = rf.readInt(); } } rf.close(); } catch (Exception e) { e.printStackTrace(); } return dataArr; } public int[][] readDataNIO(File f) { try { RandomAccessFile rf = new RandomAccessFile(f, "r"); FileChannel fc = rf.getChannel(); ByteBuffer buffer = ByteBuffer.allocate(size * 4); for (int i = 0; i < count; i++) { fc.read(buffer); buffer.rewind(); for (int j = 0; j < size; j++) { dataArr[i][j] = buffer.getInt(); } buffer.rewind(); } rf.close(); } catch (Exception e) { e.printStackTrace(); } return dataArr; } public int[][] readDataNIO_D(File f) { try { RandomAccessFile rf = new RandomAccessFile(f, "r"); FileChannel fc = rf.getChannel(); ByteBuffer buffer = ByteBuffer.allocateDirect(size * 4); for (int i = 0; i < count; i++) { fc.read(buffer); buffer.rewind(); for (int j = 0; j < size; j++) { dataArr[i][j] = buffer.getInt(); } buffer.rewind(); } rf.close(); } catch (Exception e) { e.printStackTrace(); } return dataArr; } public int[][] readDataMap(File f) { try { RandomAccessFile rf = new RandomAccessFile(f, "r"); FileChannel fc = rf.getChannel(); int mapSize = size * 4; for (int i = 0; i < count; i++) { int position = i * size * 4; MappedByteBuffer mBuffer = fc.map(MapMode.READ_ONLY,position,mapSize); for (int j = 0; j < size; j++) { dataArr[i][j] = mBuffer.getInt(); } } rf.close(); } catch (Exception e) { e.printStackTrace(); } return dataArr; } class ReadDataTask implements Runnable { private File f; private int dataIndex; public ReadDataTask(File f,int dataIndex) { this.f = f; this.dataIndex = dataIndex; } @Override public void run() { try { RandomAccessFile rf = new RandomAccessFile(f, "r"); FileChannel fc = rf.getChannel(); int mapSize = size * 4; int position = dataIndex * size * 4; MappedByteBuffer mBuffer = fc.map(MapMode.READ_ONLY,position,mapSize); for (int j = 0; j < size; j++) { dataArr[dataIndex][j] = mBuffer.getInt(); } rf.close(); } catch (Exception e) { e.printStackTrace(); } } } public int[][] readDataMap_M(File f) { try { ExecutorService exec = Executors.newCachedThreadPool(); for(int i=0;i<count;i++) { exec.execute(new ReadDataTask(f,i)); } exec.shutdown(); while(true) { if(exec.isTerminated()) break; } } catch (Exception e) { e.printStackTrace(); } return dataArr; } public static void main(String[] args) { int count = 1000; int size = 10000; boolean bPrintData = false; // 是否打印生成的数组,当数据量大是不打印,只在小数据量时打印以便测试 boolean bRefreshData = true; //是否重新生成数据,第一次测试时生成数据后,改成false不必重新生成数据 System.out.printf("count = %d, size = %d \n\n", count, size); GetTheMiddle gm = new GetTheMiddle(count,size); GenerateIntArray generator = new GenerateIntArray(count, size); File f; try { f = new File("D:\\D\\test_data.dat"); if(bRefreshData) { generator.refreshDataArr(); generator.writeData2File_B(f); } System.out.println("正在读取数据,请稍后..."); long startTmie = System.nanoTime(); gm.readData(f); long totalTime = (System.nanoTime() - startTmie)/ 100000; System.out.println("readData(f) 读取数据成功, 耗时:" + totalTime); System.out.println(); System.out.println("正在读取数据,请稍后..."); startTmie = System.nanoTime(); gm.readDataNIO_D(f); totalTime = (System.nanoTime() - startTmie)/ 100000; System.out.println("readDataNIO_D(f) 读取数据成功, 耗时:" + totalTime); System.out.println(); System.out.println("正在读取数据,请稍后..."); startTmie = System.nanoTime(); gm.readDataNIO(f); totalTime = (System.nanoTime() - startTmie)/ 100000; System.out.println("readDataNIO(f) 读取数据成功, 耗时:" + totalTime); System.out.println(); System.out.println("正在读取数据,请稍后..."); startTmie = System.nanoTime(); gm.readDataMap_M(f); totalTime = (System.nanoTime() - startTmie)/ 100000; System.out.println("readDataMap_M(f) 读取数据成功, 耗时:" + totalTime); System.out.println(); System.out.println("正在读取数据,请稍后..."); startTmie = System.nanoTime(); gm.readDataMap(f); totalTime = (System.nanoTime() - startTmie)/ 100000; System.out.println("readDataMap 读取数据成功, 耗时:" + totalTime); System.out.println(); } catch (Exception e) { e.printStackTrace(); } if(bPrintData) { System.out.println("generator中生成的数据..."); int[][] intArr = generator.getDataArr(); for (int i = 0; i < count; i++) { for (int j = 0; j < size; j++) { System.out.printf("%1$3d", intArr[i][j]); } System.out.println(); } System.out.println("读取出来的数组..."); intArr = gm.getDataArr(); for (int i = 0; i < count; i++) { for (int j = 0; j < size; j++) { System.out.printf("%1$-5s", intArr[i][j]); } System.out.println(); } } } }