doInBackground采取了许多

doInBackground采取了许多

本文介绍了创建14万行的SQLite数据库中的AsyncTask doInBackground采取了许多,许多分钟的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我没有处理前最后一周SQLite数据库。我过去的很多年以前处理SQL,但我仍然有它的要点。

下code读取从资产命名的14万字 dictionary.dic 和每个插入到一个其状态一起SQLite数据库。我的期望是,它会持续较长一段时间,但它一直像一个7平板电脑25分钟,还没有接近完成(在 P )。

我应该说,嘿,这是一百万行的1/7。这会需要一段时间。在30秒;但我可以阅读14万字到的ArrayList<弦乐过夜。我意识到在创建数据库有开销,但许多,多少分钟?

我应该说,嗯,认为这将需要多长时间,如果不使用的AsyncTask ,并接受它,因为它是一个一次性的任务?但它确实令人讨厌,这么长时间。它是倒胃口。

我应该说,你为什么使用扫描?难怪它采取这么长时间?并做一些其他的资产访问?或者是,并不是真正的问题?

我也从来没有使用的AsyncTask 。我是不是滥用 doInBackground ?我有在那里有很多code的;不是所有人都必须去那里,但循环是它是什么,有挂断。

中使用 database.Insert ,这被称为方便的方法,是什么造成了挂断?我应该使用一个光标查询呢?我不完全知道我怎么会做到这一点。得到了我的想法来自Deitel公司的通讯录应用程序中的Android程序员软件 - 应用驱动......,但他的数据库是空在一开始就

我考虑了很多心思。我只是需要有经验的人看,说:好吧,这是你的问题。我不能证明重做起所有我想过的事情,而不是否任何它会帮助一些指导。

 公共类DatabaseConnector //扩展的ArrayList<串GT;
{
  公共静态光标指针;
  扫描仪scDict;
  InputStream的流= NULL;
  上下文mContext;
  AssetManager mAssets;  公共静态最后弦乐DATABASE_NAME =说文解字;
  公共静态最后弦乐TABLE_NAME =词表;
  公共静态最后弦乐WORD_COLUMN_NAME =字;
  公共静态最后弦乐STATUS_COLUMN_NAME =身份;
  公共静态最后的String [] =列新的String [] {WORD_COLUMN_NAME,STATUS_COLUMN_NAME};  私人DatabaseOpenHelper ___databaseOpenHelper; //创建数据库
  私人SQLiteDatabase ___database; //为与数据库交互  公共DatabaseConnector(上下文_context,AssetManager资产)
  {
    mContext = _context;
    mAssets =资产;
    ___databaseOpenHelper =新DatabaseOpenHelper(_context,DATABASE_NAME,空,1);
    Log.w(DB连接,___ databaseOpenHelper.getDatabaseName());
    createDbIfNecessary();
  };  公共无效的open()抛出的SQLException //打开/创建
  {
    ___database = ___ databaseOpenHelper.getWritableDatabase(); //创建或打开
  }  公共无效createDbIfNecessary(){
    this.open();
    如果(getDbCount()&下; 140000){
      尝试{流= mAssets.open(dictionary.dic); }      赶上(IOException异常五){的System.out.println(Arrays.toString(e.getStackTrace())); }      MainActivity.setLblProgress(这种一次性的任务需要一段时间:加载信......);
        借词借词=新借词();
        loadWords.execute((Object []对象),NULL);
      this.close();
    }
  }  公共无效的close(){
    如果(___数据库!= NULL)
       ___ database.close();
  }  公众诠释getDbCount(){
    this.open();
    返回___ database.query(TABLE_NAME,列,NULL,NULL,NULL,NULL,NULL).getCount();  }   众长insertWord(字符串_word)
  {
    ContentValues
        __新词;
    __newWord =新ContentValues​​();
    __newWord.put(WORD_COLUMN_NAME,_word);
    __newWord.put(STATUS_COLUMN_NAME,真);      长__row = ___ database.insert(TABLE_NAME,空,__newWord);    返回__row; // -1,如果不能插入
  }  ////////////////////////////////////////////////// ////////////////////////////////////////////////
  私有类DatabaseOpenHelper扩展SQLiteOpenHelper
  {
    公共DatabaseOpenHelper(上下文_context,字符串_name,CursorFactory _factory,INT _version)
    {超(_context,_name,_factory,_version); }    @覆盖公共无效的onCreate(SQLiteDatabase _db)
    {
      _db.execSQL(CREATE TABLE+ TABLE_NAME +
              (
              + WORD_COLUMN_NAME +TEXT主键,//不为空,
              + STATUS_COLUMN_NAME +布尔+
              );
      ); //执行查询创建___database
    }  } //结束类DatabaseOpenHelper
  ////////////////////////////////////////////////// ////////////////////////////////////////////////
  私有类借词扩展的AsyncTask<对象,整型,太虚>
  {
    @覆盖
    保护无效doInBackground(对象... PARAMS){
      长K = 0;
      scDict =新的扫描仪(流).useDelimiter(\\ r \\ n);
      长计数= getDbCount();
      Log.w(启动时加载,+计数);
      字符串s =;
      而(K ++ LT;计数){
        S = scDict.next();
      }
      Log.w(添加后,S);
      而(scDict.hasNext())
      {
        S = scDict.next();
        publishProgress((整数)(INT)s.charAt(0));
        insertWord(多个);
      返回null;
    }    保护无效onProgressUpdate(整数...进度){
      INT C =(int)的进展[0];
      MainActivity.setLastLetterProcessed((char)的C);
    }    @覆盖
    保护无效onPostExecute(虚空X)
    {
      MainActivity.popupMessage(数据库已创建,mContext);
    }
  }
} //结束类DatabaseConnector


解决方案

您正在尝试做的140000个人数据库事务。这可能需要数周时间。

相反,无论是包装您的整个事情在一个单一的交易,或批次插入到交易(例如每1000字)。您可以使用此伪Java中创建您自己的事务范围:

  db.beginTransaction();尝试{
  //做你的SQL工作在这里
  db.setTransactionSuccesful();
}
赶上(例外五){
  //日志,事件总线消息的用户界面,无论
}
最后{
  db.endTransaction();
}

I haven't dealt with SQLite databases before last week. I last dealt with SQL many years ago, but I still have the gist of it.

The code below reads 140,000 words from an asset named dictionary.dic and inserts each into a SQLite database along with its status. My expectation was that it would take a good while, but it's been like 25 minutes on a 7" tablet and still not near finished (on P).

Should I say, "Hey, it's 1/7 of a million rows. It's gonna take awhile." But I can read all 140,000 words into an ArrayList<String> in 30 seconds. I realize there's overhead in creating the database, but many, many minutes?

Should I say, "Well, think how long it would take if not using AsyncTask" and accept it since it's a one-time task? But it's really obnoxious, taking so long. It's off-putting.

Should I say, "Why are you using a Scanner? No wonder it's taking so long?" and do some other asset access? Or is that not the real problem?

I also have never used AsyncTask. Am I misusing doInBackground? I've got a lot of code in there; not all MUST go there, but the loop is what it is and there's the hangup.

Is using database.Insert, which is called a "convenience method", what's causing the hangup? Should I be using a Cursor and query instead? I'm not entirely sure how I'd do that. Got my idea from Deitel's "Address Book" app in "Android for Programmers--App Driven...", but his database is empty at the outset.

I've given this plenty of thought. I just need someone with experience to look and say, "Well, HERE'S your problem." I can't justify starting redoing all the things I've thought of without some guidance about whether any of it is going to help.

public class DatabaseConnector //extends ArrayList<String>
{
  public static Cursor cursor ;
  Scanner scDict;
  InputStream stream = null;
  Context mContext;
  AssetManager mAssets;

  public static final String DATABASE_NAME      = "Dictionary";
  public static final String TABLE_NAME         = "wordlist";
  public static final String WORD_COLUMN_NAME   = "word";
  public static final String STATUS_COLUMN_NAME = "status";
  public static final String [] columns = new String[]{WORD_COLUMN_NAME, STATUS_COLUMN_NAME};

  private DatabaseOpenHelper ___databaseOpenHelper; // creates the database
  private SQLiteDatabase     ___database; // for interacting with the database

  public DatabaseConnector(Context _context, AssetManager assets)
  {
    mContext = _context;
    mAssets = assets;
    ___databaseOpenHelper = new DatabaseOpenHelper(_context, DATABASE_NAME, null, 1);
    Log.w("DB connected", ___databaseOpenHelper.getDatabaseName());
    createDbIfNecessary();
  };

  public void open() throws SQLException // opens/creates
  {
    ___database = ___databaseOpenHelper.getWritableDatabase();  // create OR open
  }

  public void createDbIfNecessary(){
    this.open();
    if(getDbCount() < 140000){
      try { stream = mAssets.open("dictionary.dic"); }

      catch (IOException e) { System.out.println(Arrays.toString(e.getStackTrace())); }

      MainActivity.setLblProgress("This one-time task takes awhile: loading letter... ");
        LoadWords loadWords = new LoadWords();
        loadWords.execute((Object[]) null);
      this.close();
    }
  }

  public void close(){
    if(___database != null)
       ___database.close();
  }

  public int getDbCount(){
    this.open();
    return ___database.query(TABLE_NAME, columns, null, null, null, null, null).getCount();

  }

   public long insertWord(String _word)
  {
    ContentValues
        __newWord;
    __newWord = new ContentValues();
    __newWord.put(WORD_COLUMN_NAME, _word);
    __newWord.put(STATUS_COLUMN_NAME, true);

      long __row = ___database.insert(TABLE_NAME, null, __newWord);

    return __row; // -1 if can't insert
  }

  //////////////////////////////////////////////////////////////////////////////////////////////////
  private class DatabaseOpenHelper extends SQLiteOpenHelper
  {
    public DatabaseOpenHelper(Context _context, String _name, CursorFactory _factory, int _version)
    { super(_context, _name, _factory, _version); }

    @Override public void onCreate(SQLiteDatabase _db)
    {
      _db.execSQL( "CREATE TABLE " + TABLE_NAME +
              "("
              + WORD_COLUMN_NAME   + " TEXT primary key , " //not null, "
              + STATUS_COLUMN_NAME + " BOOLEAN" +
              ");"
      ); // execute query to create the ___database
    }

  } // end class DatabaseOpenHelper
  //////////////////////////////////////////////////////////////////////////////////////////////////
  private class LoadWords extends AsyncTask<Object, Integer, Void>
  {
    @Override
    protected Void doInBackground(Object... params) {
      long k = 0;
      scDict = new Scanner(stream).useDelimiter("\r\n");
      long count = getDbCount();
      Log.w("Start load at " , "" + count);
      String s = "";
      while(k++ < count){
        s = scDict.next();
      }
      Log.w("Add after " , s);
      while (scDict.hasNext())
      {
        s = scDict.next();
        publishProgress((Integer)(int)s.charAt(0));
        insertWord(s) ;
      return null;
    }

    protected void onProgressUpdate(Integer... progress) {
      int c = (int)progress[0];
      MainActivity.setLastLetterProcessed((char) c);
    }

    @Override
    protected void onPostExecute(Void x)
    {
      MainActivity.popupMessage("Database has been created", mContext);
    }
  }
} // end class DatabaseConnector
解决方案

You are attempting to do 140,000 individual database transactions. That might take weeks.

Instead, either wrap your entire thing in a single transaction, or batch the inserts into transactions (e.g., every 1000 words). You can create your own transaction bounds using this pseudo-Java:

db.beginTransaction();

try {
  // do your SQL work here
  db.setTransactionSuccesful();
}
catch (Exception e) {
  // logging, event bus message to UI, whatever
}
finally {
  db.endTransaction();
}

这篇关于创建14万行的SQLite数据库中的AsyncTask doInBackground采取了许多,许多分钟的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

08-19 18:22