您知道如何在Java中获取文件夹大小?
File类中的length()方法仅适用于文件,使用该方法我总是得到0的大小。
答案 0 :(得分:28)
使用apache-commons-io,FileUtils
类有一个sizeOfDirectory
方法
答案 1 :(得分:21)
import java.io.File;
import org.apache.commons.io.FileUtils;
public class FolderSize
{
public static void main(String[] args)
{
long size = FileUtils.sizeOfDirectory(new File("C:/Windows/folder"));
System.out.println("Folder Size: " + size + " bytes");
}
}
答案 2 :(得分:7)
import java.io.File;
public class GetFolderSize {
int totalFolder = 0;
int totalFile = 0;
public static void main(String args[]) {
String folder = "C:/GetExamples";
try {
GetFolderSize size = new GetFolderSize();
long fileSizeByte = size.getFileSize(new File(folder));
System.out.println("Folder Size: " + fileSizeByte + " Bytes");
System.out.println("Total Number of Folders: "
+ size.getTotalFolder());
System.out.println("Total Number of Files: " + size.getTotalFile());
} catch (Exception e) {}
}
public long getFileSize(File folder) {
totalFolder++;
System.out.println("Folder: " + folder.getName());
long foldersize = 0;
File[] filelist = folder.listFiles();
for (int i = 0; i < filelist.length; i++) {
if (filelist[i].isDirectory()) {
foldersize += getFileSize(filelist[i]);
} else {
totalFile++;
foldersize += filelist[i].length();
}
}
return foldersize;
}
public int getTotalFolder() {
return totalFolder;
}
public int getTotalFile() {
return totalFile;
}
}
答案 3 :(得分:4)
简单地递归迭代所有子文件夹会出现轻微错误。在某些文件系统上,可以使用符号链接创建循环目录结构,如下所示:
mkdir -- parents father/son
ln -sf ${PWD}/father father/son
ls father/son/father/son/father/son/father/son/
要防止出现此错误,可以使用java.io.File#getCanonicalPath方法。以下代码略微修改了previous answer。
public static long getFileSize(File folder) throws IOException {
return ( getFileSize ( folder , new HashSet < String > ( ) ) ) ;
}
public static long getFileSize(File folder, Set<String> history)
throws IOException {
long foldersize = 0;
File[] filelist = folder.listFiles();
for (int i = 0; i < filelist.length; i++) {
System.err.println("HISTORY");
System.err.println(history);
boolean inHistory = history.contains(filelist[i].getCanonicalPath());
history.add(filelist[i].getCanonicalPath());
if (inHistory) {
// skip it
} else if (filelist[i].isDirectory()) {
foldersize += getFileSize(filelist[i], history);
} else {
foldersize += filelist[i].length();
}
}
return foldersize;
}
答案 4 :(得分:2)
迭代文件夹中的所有子文件夹,并获取所有文件的摘要大小。
答案 5 :(得分:0)
文件夹通常具有非常小的“大小”,您可以将它们视为索引。
所有返回文件夹“大小”的程序实际上都会迭代并累加文件的大小。
答案 6 :(得分:0)
import resource
import glob
import gc
rsrc = resource.RLIMIT_DATA
soft, hard = resource.getrlimit(rsrc)
print ('Soft limit starts as :', soft)
resource.setrlimit(rsrc, (4 * 1024 * 1024 * 1024, hard)) # limit to four giga bytes
soft, hard = resource.getrlimit(rsrc)
print ('Soft limit changed to :', soft)
from keras.models import Sequential
import keras.optimizers
from keras.layers import Dense, Dropout, Activation, Flatten, BatchNormalization
from keras.layers import Convolution2D, MaxPooling2D,AveragePooling2D
import numpy as np
import random
from keras.utils import plot_model
sample_size = 1
batch_size = 50
input_shape = (int(720 / 4), int(1280 / 4), sample_size * 5)
# model
model = Sequential()
model.add(BatchNormalization(input_shape=input_shape))
model.add(Convolution2D(128, (3, 3), activation='relu', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(Convolution2D(128, (3, 3), activation='sigmoid', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(AveragePooling2D(pool_size=(4, 4), dim_ordering="tf"))
model.add(Convolution2D(256, (3, 3), activation='sigmoid', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(Convolution2D(256, (3, 3), activation='sigmoid', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(AveragePooling2D(pool_size=(4, 4), dim_ordering="tf"))
model.add(Convolution2D(512, (3, 3), activation='sigmoid', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(Convolution2D(512, (3, 3), activation='sigmoid', dim_ordering="tf", padding="same",kernel_initializer='random_uniform'))
model.add(AveragePooling2D(pool_size=(4, 4), dim_ordering="tf"))
model.add(Flatten())
model.add(Dense(4096, activation='relu',kernel_initializer='random_uniform'))
#model.add(Dropout(0.5))
model.add(Dense(512, activation='sigmoid',kernel_initializer='random_uniform'))
model.add(Dense(1, activation='sigmoid',kernel_initializer='random_uniform'))
model.compile(loss='mean_absolute_error',
optimizer='adam',
metrics=['mae','mse'])
model.summary()
plot_model(model,to_file='model.png')
def generate_tr(batch_size, is_training=False):
x=np.linspace(0, 10, num=5000).reshape(-1, 1)
counter = 0
print 'start'
while 1:
samples=np.zeros((batch_size, 720/4, 1280/4, 5))
labels=[]
for t in range (batch_size):
i = int(random.randint(0, 4999))
for b in range(sample_size):
samples[t, :,:,b*5:b*5+5] = np.random.rand(720/4,1280/4,5)/10+x[i]
labels.append((2*x[i])/100)
counter += 1
print counter #, labels
yield ((samples), np.asarray(labels))
tt = model.fit_generator(generate_tr(batch_size, True), steps_per_epoch=100, epochs=10,
use_multiprocessing=False, verbose=2)
score = model.predict_generator(generate_tr(batch_size, True), steps=30)
}
答案 7 :(得分:0)
逐个文件浏览文件夹,获取每个文件的大小并将其添加到可变大小。
static int size=0;
public static int folderSize(File folder){
size = 0;
File[] fileList = folder.listFiles();
for(File file : fileList){
if(!file.isFile()){
folderSize(file);
}
size += file.length();
}
return size;
}