For my app (supporting Android 2.2+) I have to check HTML-code of a lot (approx 700) of different web-pages and retrieve a single name from each web-page. I have all the URL's stored in an array.
I now use a single Asynctask and iterate over the array with URLs like this:
(snippet from Asynctask's doinbackground)
publishProgress(urls.size());
int a = 0;
for(String code : urls) {
if(!running) return null;
try {
URL url = new URL(code);
HttpURLConnection con = (HttpURLConnection) url.openConnection();
naam_codes.put(readStream(con.getInputStream(), true).get(0), code);
} catch (Exception e) {
running = false;
}
publishProgress(++a);
and readstream being:
BufferedReader reader = null;
ArrayList<String> html = new ArrayList<String>();
try {
reader = new BufferedReader(new InputStreamReader(in, Charset.forName("ISO-8859-1")));
if (snel){
//reading, matching and stuff
}
else {
//other reading, matching and stuff
}
}
} catch (IOException e) {
//pass
} finally {
if (reader != null) {
try {
reader.close();
} catch (IOException e) {
return null;
}
}
}
return html;
Now my problem is that it has to wait for one download+matching to finish before starting with a new one. It should be possible to speed this up, right? After monitoring for a bit the process doesn't seem to fully use the CPU nor internet-bandwidth(?). Should I instead of iterating inside one Asynctask, iterate on the UI-thread and execute multiple Asynctasks? If so, how?
Multiple AsyncTasks won't take advantage of multiple cores before API 11. After that, you can create one AsyncTask per download/parsing and have them executed parralelly using the executeOnExecutor function with the parameter AsyncTask.THREAD_POOL_EXECUTOR.
From the documentation:
Order of execution
When first introduced, AsyncTasks were executed serially on a single background thread. Starting with DONUT, this was changed to a pool of threads allowing multiple tasks to operate in parallel. Starting with HONEYCOMB, tasks are executed on a single thread to avoid common application errors caused by parallel execution.
If you truly want parallel execution, you can invoke executeOnExecutor(java.util.concurrent.Executor, Object[]) with THREAD_POOL_EXECUTOR.
If I were you, I would build my own server (Just a CRON task launching a PHP script somewhere + a MySQL database + a PHP script to serve your data) and I would not let the applications do the processing.
Let your server do the 700 downlaods, parse them, store what you need in a database. And then let your applications access your server script which will pick the required info from your database.
Advantages:
Inconvenient:
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With