我需要将大量数据写入文本[csv]文件。我使用了BufferedWriter来写入数据,它花费了约40秒钟来写入174 MB的数据。这是Java可以提供的最快速度吗?
bufferedWriter = new BufferedWriter ( new FileWriter ( "fileName.csv" ) );
注意:这40秒包括从结果集中迭代和获取记录的时间。:)。174 MB是结果集中的400000行。
我需要将大量数据写入文本[csv]文件。我使用了BufferedWriter来写入数据,它花费了约40秒钟来写入174 MB的数据。这是Java可以提供的最快速度吗?
bufferedWriter = new BufferedWriter ( new FileWriter ( "fileName.csv" ) );
注意:这40秒包括从结果集中迭代和获取记录的时间。:)。174 MB是结果集中的400000行。
你可以尝试移除BufferedWriter,直接使用FileWriter。在现代系统上,很可能会直接将数据写入到驱动器的缓存内存中。
在我的电脑上(一台双核2.4GHz的戴尔电脑,运行Windows XP,拥有一个80GB、7200转/分的日立硬盘),写入175MB(即4百万个字符串)需要大约4-5秒钟的时间。
你能否确定记录检索和文件写入分别占用了多少时间?
import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.Writer;
import java.util.ArrayList;
import java.util.List;
public class FileWritingPerfTest {
private static final int ITERATIONS = 5;
private static final double MEG = (Math.pow(1024, 2));
private static final int RECORD_COUNT = 4000000;
private static final String RECORD = "Help I am trapped in a fortune cookie factory\n";
private static final int RECSIZE = RECORD.getBytes().length;
public static void main(String[] args) throws Exception {
List<String> records = new ArrayList<String>(RECORD_COUNT);
int size = 0;
for (int i = 0; i < RECORD_COUNT; i++) {
records.add(RECORD);
size += RECSIZE;
}
System.out.println(records.size() + " 'records'");
System.out.println(size / MEG + " MB");
for (int i = 0; i < ITERATIONS; i++) {
System.out.println("\nIteration " + i);
writeRaw(records);
writeBuffered(records, 8192);
writeBuffered(records, (int) MEG);
writeBuffered(records, 4 * (int) MEG);
}
}
private static void writeRaw(List<String> records) throws IOException {
File file = File.createTempFile("foo", ".txt");
try {
FileWriter writer = new FileWriter(file);
System.out.print("Writing raw... ");
write(records, writer);
} finally {
// comment this out if you want to inspect the files afterward
file.delete();
}
}
private static void writeBuffered(List<String> records, int bufSize) throws IOException {
File file = File.createTempFile("foo", ".txt");
try {
FileWriter writer = new FileWriter(file);
BufferedWriter bufferedWriter = new BufferedWriter(writer, bufSize);
System.out.print("Writing buffered (buffer size: " + bufSize + ")... ");
write(records, bufferedWriter);
} finally {
// comment this out if you want to inspect the files afterward
file.delete();
}
}
private static void write(List<String> records, Writer writer) throws IOException {
long start = System.currentTimeMillis();
for (String record: records) {
writer.write(record);
}
// writer.flush(); // close() should take care of this
writer.close();
long end = System.currentTimeMillis();
System.out.println((end - start) / 1000f + " seconds");
}
}
writer.flush()
不是必需的,因为writer.close()
会隐式地刷新内存。顺便说一句:最佳实践建议使用try resource close而不是显式调用close()
。 - patryk.bezaWriter.flush()
文档,上面写着“关闭流之前先刷新它”。所以在调用close()
之前调用flush()
是不必要的。另外,BufferedWriter
可能无用的原因之一是,FileWriter
作为OutputStreamWriter
的一个特化,需要在进行从字符序列到目标编码的字节序列转换时拥有自己的缓冲区。在前端拥有更多的缓冲区并不能帮助字符集编码器以更高的速率刷新其较小的字节缓冲区。 - Holger尝试使用内存映射文件(在我的机器上,核心2双核,2.5GB RAM,需要300毫秒来写入174MB):
byte[] buffer = "Help I am trapped in a fortune cookie factory\n".getBytes();
int number_of_lines = 400000;
FileChannel rwChannel = new RandomAccessFile("textfile.txt", "rw").getChannel();
ByteBuffer wrBuf = rwChannel.map(FileChannel.MapMode.READ_WRITE, 0, buffer.length * number_of_lines);
for (int i = 0; i < number_of_lines; i++)
{
wrBuf.put(buffer);
}
rwChannel.close();
仅供统计目的:
该机器是旧戴尔电脑,但配备了新的SSD硬盘
CPU:英特尔 Pentium D 2.8 Ghz
SSD:Patriot Inferno 120GB SSD
4000000 'records'
175.47607421875 MB
Iteration 0
Writing raw... 3.547 seconds
Writing buffered (buffer size: 8192)... 2.625 seconds
Writing buffered (buffer size: 1048576)... 2.203 seconds
Writing buffered (buffer size: 4194304)... 2.312 seconds
Iteration 1
Writing raw... 2.922 seconds
Writing buffered (buffer size: 8192)... 2.406 seconds
Writing buffered (buffer size: 1048576)... 2.015 seconds
Writing buffered (buffer size: 4194304)... 2.282 seconds
Iteration 2
Writing raw... 2.828 seconds
Writing buffered (buffer size: 8192)... 2.109 seconds
Writing buffered (buffer size: 1048576)... 2.078 seconds
Writing buffered (buffer size: 4194304)... 2.015 seconds
Iteration 3
Writing raw... 3.187 seconds
Writing buffered (buffer size: 8192)... 2.109 seconds
Writing buffered (buffer size: 1048576)... 2.094 seconds
Writing buffered (buffer size: 4194304)... 2.031 seconds
Iteration 4
Writing raw... 3.093 seconds
Writing buffered (buffer size: 8192)... 2.141 seconds
Writing buffered (buffer size: 1048576)... 2.063 seconds
Writing buffered (buffer size: 4194304)... 2.016 seconds
我们可以看到,未缓冲的方法比缓冲的方法慢。
package all.is.well;
import java.io.IOException;
import java.io.RandomAccessFile;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import junit.framework.TestCase;
/**
* @author Naresh Bhabat
*
Following implementation helps to deal with extra large files in java.
This program is tested for dealing with 2GB input file.
There are some points where extra logic can be added in future.
Pleasenote: if we want to deal with binary input file, then instead of reading line,we need to read bytes from read file object.
It uses random access file,which is almost like streaming API.
* ****************************************
Notes regarding executor framework and its readings.
Please note :ExecutorService executor = Executors.newFixedThreadPool(10);
* for 10 threads:Total time required for reading and writing the text in
* :seconds 349.317
*
* For 100:Total time required for reading the text and writing : seconds 464.042
*
* For 1000 : Total time required for reading and writing text :466.538
* For 10000 Total time required for reading and writing in seconds 479.701
*
*
*/
public class DealWithHugeRecordsinFile extends TestCase {
static final String FILEPATH = "C:\\springbatch\\bigfile1.txt.txt";
static final String FILEPATH_WRITE = "C:\\springbatch\\writinghere.txt";
static volatile RandomAccessFile fileToWrite;
static volatile RandomAccessFile file;
static volatile String fileContentsIter;
static volatile int position = 0;
public static void main(String[] args) throws IOException, InterruptedException {
long currentTimeMillis = System.currentTimeMillis();
try {
fileToWrite = new RandomAccessFile(FILEPATH_WRITE, "rw");//for random write,independent of thread obstacles
file = new RandomAccessFile(FILEPATH, "r");//for random read,independent of thread obstacles
seriouslyReadProcessAndWriteAsynch();
} catch (IOException e) {
// TODO Auto-generated catch block
e.printStackTrace();
}
Thread currentThread = Thread.currentThread();
System.out.println(currentThread.getName());
long currentTimeMillis2 = System.currentTimeMillis();
double time_seconds = (currentTimeMillis2 - currentTimeMillis) / 1000.0;
System.out.println("Total time required for reading the text in seconds " + time_seconds);
}
/**
* @throws IOException
* Something asynchronously serious
*/
public static void seriouslyReadProcessAndWriteAsynch() throws IOException {
ExecutorService executor = Executors.newFixedThreadPool(10);//pls see for explanation in comments section of the class
while (true) {
String readLine = file.readLine();
if (readLine == null) {
break;
}
Runnable genuineWorker = new Runnable() {
@Override
public void run() {
// do hard processing here in this thread,i have consumed
// some time and eat some exception in write method.
writeToFile(FILEPATH_WRITE, readLine);
// System.out.println(" :" +
// Thread.currentThread().getName());
}
};
executor.execute(genuineWorker);
}
executor.shutdown();
while (!executor.isTerminated()) {
}
System.out.println("Finished all threads");
file.close();
fileToWrite.close();
}
/**
* @param filePath
* @param data
* @param position
*/
private static void writeToFile(String filePath, String data) {
try {
// fileToWrite.seek(position);
data = "\n" + data;
if (!data.contains("Randomization")) {
return;
}
System.out.println("Let us do something time consuming to make this thread busy"+(position++) + " :" + data);
System.out.println("Lets consume through this loop");
int i=1000;
while(i>0){
i--;
}
fileToWrite.write(data.getBytes());
throw new Exception();
} catch (Exception exception) {
System.out.println("exception was thrown but still we are able to proceeed further"
+ " \n This can be used for marking failure of the records");
//exception.printStackTrace();
}
}
}
对于那些想要提高检索记录并将其转储到文件中的人(即不对记录进行任何处理),可以将这些记录附加到StringBuffer中,而不是放入ArrayList中。使用toSring()函数获取单个字符串并一次性将其写入文件中。
对我来说,检索时间从22秒减少到17秒。
StringBuffer
可能会更快。原始的字符串数组(String[]
)也可能更快。 - David Moles