Group items tagged

5 down vote accepted One solution is to implement an OnScrollListener and make changes (like adding items, etc.) to the ListAdapter at a convenient state in its onScrollStateChanged method. The following ListActivity shows a list of integers, starting with 40, adding 10 per scroll-stop.

public class Test extends ListActivity implements OnScrollListener {    Aleph0 adapter = new Aleph0();    protected void onCreate(Bundle savedInstanceState) {        super.onCreate(savedInstanceState);        setListAdapter(adapter);         getListView().setOnScrollListener(this);    }    public void onScroll(AbsListView v, int i, int j, int k) { }    public void onScrollStateChanged(AbsListView v, int state) {        if(state == OnScrollListener.SCROLL_STATE_IDLE) {                adapter.count += 10;                adapter.notifyDataSetChanged();        }    }    class Aleph0 extends BaseAdapter {        int count = 40;        public int getCount() { return count; }        public Object getItem(int pos) { return pos; }        public long getItemId(int pos) { return pos; }        public View getView(int pos, View v, ViewGroup p) {                TextView view = new TextView(Test.this);                view.setText("entry " + pos);                return view;        }    }}

You should obviously use separate threads for long running actions (like loading web-data) and might want to indicate progress in the last list item (like the market or gmail apps do).

PackageInfo pInfo = null; try {         pInfo = getPackageManager().getPackageInfo("com.beanie.test", PackageManager.GET_META_DATA);         } catch (NameNotFoundException e) {                 e.printStackTrace(); } System.out.println(pInfo.versionCode);

We compared these findings with that of our tests of Apple's mobile Safari browser on the iPhone 4. The results show that the Android device delivers significantly faster JavaScript execution than the iPhone, scoring over three times better on V8 and almost twice as fast on SunSpider

If your data is stored in a SQLite database on the device, performing a full-text search (using FTS3, rather than a LIKE query) can provide a more robust search across text data and can produce results significantly faster.

If your data is stored online, then the perceived search performance might be inhibited by the user's data connection. You might want to display a spinning progress wheel until your search returns.

<?xml version="1.0" encoding="utf-8"?><searchable xmlns:android="http://schemas.android.com/apk/res/android"    android:label="@string/app_label"    android:hint="@string/search_hint" ></searchable>

$ sudo gedit /etc/udev/rules.d/99-android.rules

$ sudo restart udev

$ adb kill-server $ adb start-server

Worldwide, it doesn't look so bad for Apple yet; it's still the king of the hill by a long shot, steady at about 50%. Android is making inroads, though, now accounting for almost a quarter of the world's mobile web usage.

And now we get to the interesting part: the United States. The top-notch Android phones have been available in the US for longer than in other countries, and carriers there have been pushing them longer. This shows: in the US, Android has almost overtaken the iPhone OS (which excludes the iPod Touch!) in mobile web usage - 42% vs. 44%.