【发布时间】:2020-04-14 21:32:38
【问题描述】:
我有一个 400+ GB 的文件,例如:
ID Data ...4000+columns
001 dsa
002 Data
… …
17201297 asdfghjkl
我希望根据 ID 将文件分块以获得更快的数据检索,如下所示:
mylocation/0/0/1/data.json
mylocation/0/0/2/data.json
.....
mylocation/1/7/2/0/1/2/9/7/data.json
我的代码运行良好,但无论我使用什么编写器关闭循环结束,它至少需要 159,206 毫秒才能完成 0.001% 的文件创建。
在这种情况下,多线程是否可以成为降低时间复杂度的一种选择(例如一次写入 100 或 1k 个文件)?
我当前的代码是:
int percent = 0;
File file = new File(fileLocation + fileName);
FileReader fileReader = new FileReader(file); // to read input file
BufferedReader bufReader = new BufferedReader(fileReader);
BufferedWriter fw = null;
LinkedHashMap<String, BufferedWriter> fileMap = new LinkedHashMap<>();
int dataCounter = 0;
while ((theline = bufReader.readLine()) != null) {
String generatedFilename = generatedFile + chrNo + "//" + directory + "gnomeV3.json";
Path generatedJsonFilePath = Paths.get(generatedFilename);
if (!Files.exists(generatedJsonFilePath)) {// create directory
Files.createDirectories(generatedJsonFilePath.getParent());
files.createFile(generatedJsonFilePath);
}
String jsonData = DBFileMaker(chrNo, theline, pos);
if (fileMap.containsKey(generatedFilename)) {
fw = fileMap.get(generatedFilename);
fw.write(jsonData);
} else {
fw = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(generatedFilename)));
fw.write(jsonData);
fileMap.put(generatedFilename, fw);
}
if (dataCounter == 172 * percent) {// As I know my number of rows
long millisec = stopwatch.elapsed(TimeUnit.MILLISECONDS);
System.out.println("Upto: " + pos + " as " + (Double) (0.001 * percent)
+ "% completion successful." + " took: " + millisec + " miliseconds");
percent++;
}
dataCounter++;
}
for (BufferedWriter generatedFiles : fileMap.values()) {
generatedFiles.close();
}
【问题讨论】:
标签: java multithreading performance time filewriter