我正在制作一个字典应用程序。我已经创建了一个带csv导入的180k个单词和含义数据的sqlite数据库。导入csv时，需要5分钟的时间才能导入到数据库中。使用FTS4创建的数据库。
我的第一个问题是
1）如何用更少的时间导入？
当我在搜索视图中键入一个单词时，光标冻结5秒钟，然后在列表视图中显示建议。
我的秒数是
2）在不冻结的情况下更快地显示建议
对不起，我的英语不好
public class DatabaseTable {
private static final String TAG = "DictionaryDatabase";
//The columns we'll include in the dictionary table
public static final String COL_WORD = "WORD";
public static final String COL_DEFINITION = "DEFINITION";
public static final String COL_PRONUNCIATION = "PRONUNCIATION";
public static final String COL_EXAMPLE = "EXAMPLE";
public static final String COL_SYNONYMS = "SYNONYMS";
public static final String COL_COMMON_MEAN = "COMMON_MEAN";
public static final String COL_MORE_MEAN = "MORE_MEAN";
private static final String DATABASE_NAME = "DICTIONARY";
private static final String FTS_VIRTUAL_TABLE = "FTS";
private static final int DATABASE_VERSION = 1;
public final DatabaseOpenHelper mDatabaseOpenHelper;
public DatabaseTable(Context context) {
mDatabaseOpenHelper = new DatabaseOpenHelper(context);
}
public static class DatabaseOpenHelper extends SQLiteOpenHelper {
private final Context mHelperContext;
private SQLiteDatabase mDatabase;
private static final String FTS_TABLE_CREATE =
"CREATE VIRTUAL TABLE " + FTS_VIRTUAL_TABLE +
" USING fts4 (" +
COL_WORD + ", " +
COL_COMMON_MEAN + ", " +
COL_PRONUNCIATION + ", " +
COL_MORE_MEAN + ", " +
COL_DEFINITION + ", " +
COL_SYNONYMS + ", " +
COL_EXAMPLE + ")";
DatabaseOpenHelper(Context context) {
super(context, DATABASE_NAME, null, DATABASE_VERSION);
mHelperContext = context;
}
@Override
public void onCreate(SQLiteDatabase db) {
mDatabase = db;
mDatabase.execSQL(FTS_TABLE_CREATE);
loadDictionary();
}
@Override
public void onUpgrade(SQLiteDatabase db, int oldVersion, int newVersion) {
Log.w(TAG, "Upgrading database from version " + oldVersion + " to "
+ newVersion + ", which will destroy all old data");
db.execSQL("DROP TABLE IF EXISTS " + FTS_VIRTUAL_TABLE);
onCreate(db);
}
private void loadDictionary() {
new Thread(new Runnable() {
public void run() {
try {
loadWords();
} catch (IOException e) {
throw new RuntimeException(e);
}
}
}).start();
}
private void loadWords() throws IOException {
final Resources resources = mHelperContext.getResources();
//InputStream inputStream = resources.openRawResource();
BufferedReader reader = new BufferedReader(new InputStreamReader(mHelperContext.getAssets().open("definition1.csv"), "UTF-8"));
try {
String line;
while ((line = reader.readLine()) != null) {
String[] strings = TextUtils.split(line, "\\|");
if (strings.length != 7) {
Log.d("CSVParser", "Skipping Bad CSV Row");
continue;
}
long id = addWord(strings[0].trim(), strings[1].trim(), strings[2].trim(), strings[3].trim(), strings[4].trim(), strings[5].trim(), strings[6].trim());
if (id < 0) {
Log.e(TAG, "unable to add word: " + strings[0].trim());
}
}
} finally {
reader.close();
}
}
public long addWord(String word, String common_mean, String pronuntiation, String more_mean, String definition, String synonym, String example) {
ContentValues initialValues = new ContentValues();
initialValues.put(COL_WORD, word);
initialValues.put(COL_COMMON_MEAN, common_mean);
initialValues.put(COL_PRONUNCIATION, pronuntiation);
initialValues.put(COL_MORE_MEAN, more_mean);
initialValues.put(COL_DEFINITION, definition);
initialValues.put(COL_SYNONYMS, synonym);
initialValues.put(COL_EXAMPLE, example);
Log.d("inserting", word);
return mDatabase.insert(FTS_VIRTUAL_TABLE, null, initialValues);
}
public Cursor getWordMatches(String query, String[] columns) {
String selection = COL_WORD + " MATCH ?";
String[] selectionArgs = new String[]{query + "ORDER BY rank"};
return query(selection, selectionArgs, columns);
}
private Cursor query(String selection, String[] selectionArgs, String[] columns) {
SQLiteQueryBuilder builder = new SQLiteQueryBuilder();
builder.setTables(FTS_VIRTUAL_TABLE);
Cursor cursor = builder.query(getReadableDatabase(),
columns, selection, selectionArgs, null, null, null);
if (cursor == null) {
return null;
} else if (!cursor.moveToFirst()) {
cursor.close();
return null;
}
return cursor;
}
主要活动搜索代码
private SearchView.OnQueryTextListener onQueryTextListener =
new SearchView.OnQueryTextListener() {
@Override
public boolean onQueryTextSubmit(String query) {
Toast.makeText(MainActivity.this, "Problem in Fetching Deals",
Toast.LENGTH_LONG).show();
return true;
}
@Override
public boolean onQueryTextChange(String newText) {
getDealsFromDb(newText);
return true;
}
private void getDealsFromDb(final String searchText) {
runOnUiThread(new Runnable() {
@Override
public void run() {
deals=databaseTable.mDatabaseOpenHelper.getallword(searchText);
SuggestionAdapter1 adapter=new SuggestionAdapter1
(MainActivity.this, deals, R.layout.suggestion_item_layout);
listView.setAdapter(adapter);
}
});
}
};
适配器类
public class SuggestionAdapter1 extends ArrayAdapter{
private List<ItemObject> dataList;
private Context mContext;
private int searchResultItemLayout;
public SuggestionAdapter1(Context context, List<ItemObject> resource,
int rid) {
super(context, rid, resource);
dataList = resource;
mContext = context;
searchResultItemLayout = rid;
}
@Override
public int getCount() {
return dataList.size();
}
@Override
public ItemObject getItem(int position) {
return dataList.get(position);
}
@Override
public View getView(int position, View view, @NonNull ViewGroup parent) {
if (view == null) {
view = LayoutInflater.from(parent.getContext())
.inflate(searchResultItemLayout, parent, false);
}
ItemObject di = getItem(position);
TextView dealsTv = (TextView) view.findViewById(R.id.eng);
dealsTv.setText(di.getId());
TextView cashbackTv = (TextView) view.findViewById(R.id.bng);
cashbackTv.setText(di.getWord());
return view;
}
}
答案 0 :(得分：1)
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