Memory-mapped files
Memory-mapped files allow you to create and modify files that are too big to bring into memory. With a memory-mapped file, you can pretend that the entire file is in memory and that you can access it by simply treating it as a very large array. This approach greatly simplifies the code you write in order to modify the file. Here’s a small example:
//: c12:LargeMappedFiles.java
// Creating a very large file using mapping.
// {RunByHand}
// {Clean: test.dat}
import java.io.*;
import java.nio.*;
import java.nio.channels.*;
public class LargeMappedFiles {
static int length = 0x8FFFFFF; // 128 Mb
public static void main(String[] args) throws Exception {
MappedByteBuffer out =
new RandomAccessFile("test.dat", "rw").getChannel()
.map(FileChannel.MapMode.READ_WRITE, 0, length);
for(int i = 0; i < length; i++)
out.put((byte)'x');
System.out.println("Finished writing");
for(int i = length/2; i < length/2 + 6; i++)
System.out.print((char)out.get(i));
}
} ///:~
To do both writing and reading, we start with a RandomAccessFile, get a channel for that file, and then call map( ) to produce a MappedByteBuffer, which is a particular kind of direct buffer. Note that you must specify the starting point and the length of the region that you want to map in the file; this means that you have the option to map smaller regions of a large file.
MappedByteBuffer is inherited from ByteBuffer, so it has all of ByteBuffer’s methods. Only the very simple uses of put( ) and get( ) are shown here, but you can also use things like asCharBuffer( ), etc.
The file created with the preceding program is 128 MB long, which is probably larger than the space your OS will allow. The file appears to be accessible all at once because only portions of it are brought into memory, and other parts are swapped out. This way a very large file (up to 2 GB) can easily be modified. Note that the file-mapping facilities of the underlying operating system are used to maximize performance.
Performance
Although the performance of “old” stream I/O has been improved by implementing it with nio, mapped file access tends to be dramatically faster. This program does a simple performance comparison:
//: c12:MappedIO.java
// {Clean: temp.tmp}
import java.io.*;
import java.nio.*;
import java.nio.channels.*;
public class MappedIO {
private static int numOfInts = 4000000;
private static int numOfUbuffInts = 200000;
private abstract static class Tester {
private String name;
public Tester(String name) { this.name = name; }
public long runTest() {
System.out.print(name + ": ");
try {
long startTime = System.currentTimeMillis();
test();
long endTime = System.currentTimeMillis();
return (endTime - startTime);
} catch (IOException e) {
throw new RuntimeException(e);
}
}
public abstract void test() throws IOException;
}
private static Tester[] tests = {
new Tester("Stream Write") {
public void test() throws IOException {
DataOutputStream dos = new DataOutputStream(
new BufferedOutputStream(
new FileOutputStream(new File("temp.tmp"))));
for(int i = 0; i < numOfInts; i++)
dos.writeInt(i);
dos.close();
}
},
new Tester("Mapped Write") {
public void test() throws IOException {
FileChannel fc =
new RandomAccessFile("temp.tmp", "rw")
.getChannel();
IntBuffer ib = fc.map(
FileChannel.MapMode.READ_WRITE, 0, fc.size())
.asIntBuffer();
for(int i = 0; i < numOfInts; i++)
ib.put(i);
fc.close();
}
},
new Tester("Stream Read") {
public void test() throws IOException {
DataInputStream dis = new DataInputStream(
new BufferedInputStream(
new FileInputStream("temp.tmp")));
for(int i = 0; i < numOfInts; i++)
dis.readInt();
dis.close();
}
},
new Tester("Mapped Read") {
public void test() throws IOException {
FileChannel fc = new FileInputStream(
new File("temp.tmp")).getChannel();
IntBuffer ib = fc.map(
FileChannel.MapMode.READ_ONLY, 0, fc.size())
.asIntBuffer();
while(ib.hasRemaining())
ib.get();
fc.close();
}
},
new Tester("Stream Read/Write") {
public void test() throws IOException {
RandomAccessFile raf = new RandomAccessFile(
new File("temp.tmp"), "rw");
raf.writeInt(1);
for(int i = 0; i < numOfUbuffInts; i++) {
raf.seek(raf.length() - 4);
raf.writeInt(raf.readInt());
}
raf.close();
}
},
new Tester("Mapped Read/Write") {
public void test() throws IOException {
FileChannel fc = new RandomAccessFile(
new File("temp.tmp"), "rw").getChannel();
IntBuffer ib = fc.map(
FileChannel.MapMode.READ_WRITE, 0, fc.size())
.asIntBuffer();
ib.put(0);
for(int i = 1; i < numOfUbuffInts; i++)
ib.put(ib.get(i - 1));
fc.close();
}
}
};
public static void main(String[] args) {
for(int i = 0; i < tests.length; i++)
System.out.println(tests[i].runTest());
}
} ///:~
As seen in earlier examples in this book, runTest( ) is the Template Method that provides the testing framework for various implementations of test( ) defined in anonymous inner subclasses. Each of these subclasses perform one kind of test, so the test( ) methods also give you a prototype for performing the various I/O activities.
Although a mapped write would seem to use a FileOutputStream, all output in file mapping must use a RandomAccessFile, just as read/write does in the preceding code.
Here’s the output from one run:
Stream Write: 1719
Mapped Write: 359
Stream Read: 750
Mapped Read: 125
Stream Read/Write: 5188
Mapped Read/Write: 16
Note that the test( ) methods include the time for initialization of the various I/O objects, so even though the setup for mapped files can be expensive, the overall gain compared to stream I/O is significant.
출처 : http://www.linuxtopia.org/
BigGridDemo.java
