首页
学习
活动
专区
工具
TVP
发布
社区首页 >问答首页 >Android SQLite和巨型数据集

Android SQLite和巨型数据集
EN

Stack Overflow用户
提问于 2009-09-10 20:08:27
回答 2查看 24.5K关注 0票数 22

我们正在为一个客户端创建一个应用程序,该应用程序在SQLite数据库中有数百兆字节的超文本标记语言。我们已经实现了一种方法来查询这些数据,并以一种相当快的方式滚动所有这些数据。问题是一些数据库有非常大的查询(20,000+行),当我们在用户滚动时增加查询时,我们会看到错误。所以我想问题是,在Android中查询和显示数万行数据时,我们有什么选择?

下面是我们看到的堆栈跟踪:

09-10 19:19:12.575: WARN/IInputConnectionWrapper(640): showStatusIcon on inactive InputConnection
09-10 19:19:18.226: DEBUG/dalvikvm(640): GC freed 446 objects / 16784 bytes in 330ms
09-10 19:19:32.886: ERROR/CursorWindow(19416): need to grow: mSize = 1048576, size = 36, freeSpace() = 30, numRows = 17717
09-10 19:19:32.896: ERROR/CursorWindow(19416): not growing since there are already 17717 row(s), max size 1048576
09-10 19:19:32.916: ERROR/CursorWindow(19416): The row failed, so back out the new row accounting from allocRowSlot 17716
09-10 19:19:33.005: ERROR/Cursor(19416): Failed allocating fieldDir at startPos 0 row 17716
09-10 19:19:35.596: DEBUG/Cursor(19416): finish_program_and_get_row_count row 24315
09-10 19:19:41.545: DEBUG/dalvikvm(698): GC freed 2288 objects / 126080 bytes in 260ms
09-10 19:19:43.705: WARN/KeyCharacterMap(19416): No keyboard for id 0
09-10 19:19:43.717: WARN/KeyCharacterMap(19416): Using default keymap: /system/usr/keychars/qwerty.kcm.bin
09-10 19:20:04.705: ERROR/CursorWindow(19416): need to grow: mSize = 1048576, size = 17, freeSpace() = 3, numRows = 17094
09-10 19:20:04.716: ERROR/CursorWindow(19416): not growing since there are already 17094 row(s), max size 1048576
09-10 19:20:04.726: ERROR/Cursor(19416): Failed allocating 17 bytes for text/blob at 17093,2
09-10 19:20:05.656: DEBUG/Cursor(19416): finish_program_and_get_row_count row 5257
09-10 19:24:54.685: DEBUG/dalvikvm(637): GC freed 9297 objects / 524176 bytes in 247ms
09-10 19:32:07.656: DEBUG/dalvikvm(19416): GC freed 9035 objects / 495840 bytes in 199ms

下面是我们的CursorAdapter代码:

    private class MyAdapter extends ResourceCursorAdapter {

    public MyAdapter(Context context, Cursor cursor) {
        super(context, R.layout.my_row, cursor);        
    }

    public void bindView(View view, Context context, Cursor cursor) {                
        RowData data = new RowData();
        data.setName(cursor.getInt(cursor.getColumnIndex("name")));

        TextView tvItemText = (TextView)view.findViewById(R.id.tvItemText);
        tvItemText.setText(data.getName());

        view.setTag(data);
    }

    @Override
    public Cursor runQueryOnBackgroundThread(CharSequence constraint) {
        /* Display the progress indicator */
        updateHandler.post(onFilterStart);

        /* Run the actual query */               
        if (constraint == null) {
            return myDbObject.getData(null);                     
        }

        return myDbObject.getData(constraint.toString());                
    }            
}
EN

回答 2

Stack Overflow用户

发布于 2012-03-27 15:20:03

如果你真的需要这样做,你也可以像这样拆分你的数据并读取块:

   int limit = 0;
   while (limit + 100 < numberOfRows) {
       //Compose the statement
       String statement = "SELECT * FROM Table ORDER someField LIMIT '"+ limit+"', 100";
       //Execute the query
       Cursor cursor = myDataBase.rawQuery(statement, null);
       while (cursor.moveToNext()) {
           Product product = new Product();
           product.setAllValuesFromCursor(cursor);
           productsArrayList.add(product);
      }
      cursor.close();
      limit += 100;
 }

 //Compose the statement
 String statement = "SELECT * FROM Table ORDER someField LIMIT '"+  (numberOfRows - limit)+"', 100";
 //Execute the query
 Cursor cursor = myDataBase.rawQuery(statement, null);

 while (cursor.moveToNext()) {
     Product product = new Product();
     product.setAllValuesFromCursor(cursor);
     productsArrayList.add(product);
 }
 cursor.close();

如果你有索引表,它可以在2秒内处理5k行。

谢谢,Arkde

票数 6
EN

Stack Overflow用户

发布于 2013-07-18 07:55:45

根据我的经验,限制查询会花费更长的时间来获得结果,因为对于较低的限制,启动新游标的代价很高。我刚才试着用1k甚至10k的限制来做62k行,它非常慢并且不可用,因为我必须启动6个以上的游标。我只会坚持不支持2.3.3....这是最新的版本,我得到的是CursorWindow错误而不是警告。

以下是我所做的。我认为这可能是最好的算法。不需要做两次查询等。然而,对于大查询和小限制,它可能会变得相当慢,所以你必须测试出什么是最好的。在我的例子中,它不够快,因为它不能很好地处理62k行。

int cursorCount = 0;
int limit = 1000; //whatever you want
while (true)
{
    Cursor cursor = builder.query(mDatabaseHelper.getReadableDatabase(), columns, selection, selectionArgs, null, null, null, Integer.toString(limit));
    if (cursor == null) {
        return null;
    } else if (!cursor.moveToFirst()) { //if it is empty, return null
        return null;
    }
    cursorCount = cursor.getCount();
    if (cursorCount % limit != 0)
    {
        return cursor;
    }
    limit+=1000; //same amount as the one above
} 
票数 0
EN
页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/1407442

复制
相关文章

相似问题

领券
问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档