Question

我正在使用ProgressBar在我的 Android 应用中提取数据库时显示的值，但ProgressBar值超过100且显示为 122％< / strong>

我尝试过设置，

if(progress<=100) publishProgress(progress);

但这导致长时间显示100％。

任何人都可以帮助计算进度，并回复文件大小和提取。

这是我的代码：

@Override protected Integer doInBackground(Void... params) { byte[] buf = new byte[8192]; String name = null; try { System.out.println("doInBackground"); listener.onDoInBackground(context,true); name = "db_sqlite.7z"; //InputStream of the sqlite file InputStream in = context.getResources().openRawResource(R.raw.db_sqlite); int fileSize = in.available(); FileOutputStream out = context.openFileOutput("db.sqlite", 0);//Context.MODE_PRIVATE); try { /* In contrast to other classes in org.tukaani.xz, LZMAInputStream doesn't do buffering internally and reads one byte at a time. BufferedInputStream gives a huge performance improvement here but even then it's slower than the other input streams from org.tukaani.xz. in = new BufferedInputStream(in); */ in = new XZInputStream(in); int size; int counter=0; while ((size = in.read(buf)) != -1) { //System.out.write(buf, 0, size); if(this.isCancelled()) break; out.write(buf, 0, size); counter++; progress = (int) (counter*100*1024/(double)fileSize); publishProgress(progress); } protected void onProgressUpdate(Integer... values) { //System.out.println("onProgressUpdate"); super.onProgressUpdate(values); listener.onProgressUpdation(context, true, values); }

在一项活动中：

@Override public void onProgressUpdation(Context context, Boolean isStarted, Integer... values) { tv_you_can_change.setText(context.getResources().getString(R.string.extracting_database) + " " + values[0] + "%"); tv_you_can_change.setVisibility(View.VISIBLE); progressBar.setProgress(values[0]); //System.out.println("onProgressUpdation"); }

Answer 1

InputStream.available（）不返回总字节数，它返回可以无阻塞地读取的字节数的估计值。

在这种情况下确定总大小没有很好的方法。但是，由于它是一个资源，因此您知道编译时的大小，并且它在运行时不会更改。因此，只需将大小存储在Number资源中（如果必须，则将其硬编码）。

要确定读取的字节数，请保持in.read（）返回的运行总数然后，进度只是bytesRead / fileSize。

Answer 2

试试这个：

 @Override
    protected Integer doInBackground(Void... params) {
        byte[] buf = new byte[8192];
        String name = null;

        try {
            System.out.println("doInBackground");
            listener.onDoInBackground(context,true);
            name = "db_sqlite.7z";
        //InputStream of the sqlite file


 InputStream in = context.getResources().openRawResource(R.raw.db_sqlite);
    int fileSize = in.available();
    FileOutputStream out = context.openFileOutput("db.sqlite", 0);//Context.MODE_PRIVATE);
    try {

     /*  In contrast to other classes in org.tukaani.xz,
         LZMAInputStream doesn't do buffering internally
         and reads one byte at a time. BufferedInputStream
         gives a huge performance improvement here but even
         then it's slower than the other input streams from
         org.tukaani.xz.
        in = new BufferedInputStream(in);   */

        in = new XZInputStream(in);
        int size;
        int counter=0;
        while ((size = in.read(buf)) != -1) {
                //System.out.write(buf, 0, size);


  if(this.isCancelled())
                break;
            out.write(buf, 0, size);
            counter++;

            progress = (int) (counter/(double)fileSize*100);
            publishProgress(progress);
        }

    protected void onProgressUpdate(Integer... values) {
    //System.out.println("onProgressUpdate");


     super.onProgressUpdate(values);
        listener.onProgressUpdation(context, true, values);
        }

Answer 3

是的，我找到了路！

//Original file size i.e size after extraction
float fileSize = 160088064;

提取后硬编码文件大小...

try {
            // In contrast to other classes in org.tukaani.xz,
            // LZMAInputStream doesn't do buffering internally
            // and reads one byte at a time. BufferedInputStream
            // gives a huge performance improvement here but even
            // then it's slower than the other input streams from
            // org.tukaani.xz.
            //in = new BufferedInputStream(in);

            in = new XZInputStream(in);
            int size;
            int counter=0;
            while ((size = in.read(buf)) != -1) {
                if(this.isCancelled())
                    break;
                out.write(buf, 0, size);
                counter++;
                //System.out.println((counter*8192)/fileSize);
                progress = (int) (((counter*bufferSize)/fileSize)*100);
                    publishProgress(progress);
            }

感谢大家帮忙找到了......

AsyncTask中的ProgressBar显示的值超过100

3 个答案: