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我正在尝试将数据从 CSV 检索到 SQLite DB，所有字符串都已正确保存。但是整数和双精度不是，它们都保存为空。但是如何拆分 Integers 和 Doubles 并将它们放入 ContentValues 中？在这里，我试图用 ContentValues 来做这个： 

 public static void importSomeDBfromCSV(){

            try{
                FileReader file = new FileReader(currentFilePathOfsavingCSVtoSD);
                BufferedReader buffer = new BufferedReader(file);

                String line = "";
                SQLiteDatabase db = mDbHelper.getWritableDatabase();
                db.beginTransaction();
                try {
                    while ((line = buffer.readLine()) != null) {
                        String[] colums = line.split(",");
                        if (colums.length != 8) {
                            Log.d("CSVParser", "Skipping Bad CSV Row");
                            continue;
                        }
                        ContentValues cv = new ContentValues(8);
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_NAME, colums[0].trim());
                        // needs to be saved as Double
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_PRICE, colums[1].trim());
                        // needs to be saved as Integer
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_QUANTITY, colums[2].trim());
                        // needs to be saved as Integer
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_SOLD, colums[3].trim());
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_BARCODE, colums[4].trim());
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_LOCATION, colums[5].trim());
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_CATEGORY, colums[6].trim());
                        cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_NOTE, colums[7].trim());
                        db.insert(TABLE_NAME, null, cv);
                    }
                } catch (IOException e) {
                    e.printStackTrace();
                }
                db.setTransactionSuccessful();
                db.endTransaction();
                successImportingFromCSV=true;
                Log.v(LOG_TAG, "Restore is successful");

            }catch(Exception e){
                e.printStackTrace();
                successImportingFromCSV=false;
                Log.e(LOG_TAG, "Failed to restore from csv " + e);
            }

        }
4

2 回答 2

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我不认为您提供的代码有任何问题，而是可能缺少数据本身，或者后续数据检索不正确。我怀疑是后者（请参阅添加的其他行，这些行似乎排除了输入数据的任何错误）。

获取此文件（在downloads/product.csv中）：-

Baked beans,12.56,50,10,barcode,London,Tinned Foods,red beany like things in sauce
Yellow Fin Tuna 12g tin,5.76,100,12,barcode,New York,Tinned Foods,fishy stuff

和一个稍微修改的importSomeDBfromCSV方法：-

public void importSomeDBfromCSV(){

    mDB.delete(TABLE_NAME,null,null); // Delete all rows for testing

    final String LOG_TAG = "ImportDB"; // Added just to resolve LOG_TAG
    String filetoimport = Environment.getExternalStoragePublicDirectory(Environment.DIRECTORY_DOWNLOADS).getPath() + File.separator + "products.csv"; // get the file name for testing.

    try{
        FileReader file = new FileReader(filetoimport);
        BufferedReader buffer = new BufferedReader(file);

        String line = "";
        mDB.beginTransaction();
        try {
            while ((line = buffer.readLine()) != null) {
                Log.d(LOG_TAG,"Read in line :-"); //<<<< Added for logging
                String[] colums = line.split(",");
                if (colums.length != 8) {
                    Log.d("CSVParser", "Skipping Bad CSV Row"); //<<<< Added to log
                    continue;
                }
                for (String s: colums
                     ) {
                    Log.d(LOG_TAG,"Data extracted for a column = " + s); //<<<< Added to log
                }
                ContentValues cv = new ContentValues(8);
                cv.put(COLUMN_PRODUCT_NAME, colums[0].trim());
                // needs to be saved as Double
                cv.put(COLUMN_PRODUCT_PRICE, colums[1].trim());
                // needs to be saved as Integer
                cv.put(COLUMN_PRODUCT_QUANTITY, colums[2].trim());
                // needs to be saved as Integer
                cv.put(COLUMN_PRODUCT_SOLD, colums[3].trim());
                cv.put(COLUMN_PRODUCT_BARCODE, colums[4].trim());
                cv.put(COLUMN_PRODUCT_LOCATION, colums[5].trim());
                cv.put(COLUMN_PRODUCT_CATEGORY, colums[6].trim());
                cv.put(COLUMN_PRODUCT_NOTE, colums[7].trim());
                mDB.insert(TABLE_NAME, null, cv);
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
        mDB.setTransactionSuccessful();
        mDB .endTransaction();
        //successImportingFromCSV=true; //Commented out for ease
        Log.v(LOG_TAG, "Restore is successful");

    }catch(Exception e){
        e.printStackTrace();
        //successImportingFromCSV=false; //Commeneted out for ease
        Log.e(LOG_TAG, "Failed to restore from csv " + e);
    }
}

然后使用一些通用数据库/游标例程，是否有任何方法可以帮助解决常见的 SQLite 问题？以下是运行： -

    mPHlpr = new ProductsDBHelper(this); //<<<< DBHelper
    mPHlpr.importSomeDBfromCSV(); //<<<< Do the import
    SQLiteDatabase db = mPHlpr.getWritableDatabase(); //<<<< Get DB
    CommonSQLiteUtilities.logDatabaseInfo(db); //<<< Inspect DB
    Cursor csr = CommonSQLiteUtilities.getAllRowsFromTable(db,ProductsDBHelper.TABLE_NAME,false,null); //<<<< Get Cursor
    CommonSQLiteUtilities.logCursorData(csr); //<<<< Inspect Cursor

输出/结论

第 1 部分 -importSomeDBfromCSV方法的输出。

02-08 06:04:26.773 1555-1555/? D/ImportDB: Read in line :-
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = Baked beans
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 12.56
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 50
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 10
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = barcode
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = London
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = Tinned Foods
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = red beany like things in sauce
02-08 06:04:26.773 1555-1555/? D/ImportDB: Read in line :-
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = Yellow Fin Tuna 12g tin
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 5.76
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 100
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = 12
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = barcode
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = New York
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = Tinned Foods
02-08 06:04:26.773 1555-1555/? D/ImportDB: Data extracted for a column = fishy stuff
02-08 06:04:26.777 1555-1555/? V/ImportDB: Restore is successful
  • 一切看起来都很好，即数据按预期提取到列中。

第 2 部分 - 输出自logDatabaseInfo

02-08 06:04:26.781 1555-1555/? D/SQLITE_CSU: DatabaseList Row 1 Name=main File=/data/data/examples.mjt.sqliteassethelperexample/databases/products
02-08 06:04:26.781 1555-1555/? D/SQLITE_CSU: Database Version = 1
02-08 06:04:26.781 1555-1555/? D/SQLITE_CSU: Table Name = android_metadata Created Using = CREATE TABLE android_metadata (locale TEXT)
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = android_metadata ColumnName = locale ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table Name = products Created Using = CREATE TABLE products(_id INTEGER PRIMARY KEY, productname TEXT, productprice REAL, productquantity INTEGER, productsold INTEGER, productbarcode TEXT, productlocation TEXT, productcategory TEXT, productnote TEXT)
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = _id ColumnType = INTEGER Default Value = null PRIMARY KEY SEQUENCE = 1
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productname ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productprice ColumnType = REAL Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productquantity ColumnType = INTEGER Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productsold ColumnType = INTEGER Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productbarcode ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productlocation ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productcategory ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Table = products ColumnName = productnote ColumnType = TEXT Default Value = null PRIMARY KEY SEQUENCE = 0
  • 正如预期的那样

第 3 部分 -logCursorData方法的输出

02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: logCursorData Cursor has 2 rows with 9 columns.
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Information for row 1 offset=0
                                                For Column _id Type is INTEGER value as String is 1 value as long is 1 value as double is 1.0
                                                For Column productname Type is STRING value as String is Baked beans value as long is 0 value as double is 0.0
                                                For Column productpriceType is FLOAT value as String is 12.56 value as long is 12 value as double is 12.56
                                                For Column productquantity Type is INTEGER value as String is 50 value as long is 50 value as double is 50.0
                                                For Column productsold Type is INTEGER value as String is 10 value as long is 10 value as double is 10.0
                                                For Column productbarcode Type is STRING value as String is barcode value as long is 0 value as double is 0.0
                                                For Column productlocation Type is STRING value as String is London value as long is 0 value as double is 0.0
                                                For Column productcategory Type is STRING value as String is Tinned Foods value as long is 0 value as double is 0.0
                                                For Column productnote Type is STRING value as String is red beany like things in sauce value as long is 0 value as double is 0.0
02-08 06:04:26.785 1555-1555/? D/SQLITE_CSU: Information for row 2 offset=1
                                                For Column _id Type is INTEGER value as String is 2 value as long is 2 value as double is 2.0
                                                For Column productname Type is STRING value as String is Yellow Fin Tuna 12g tin value as long is 0 value as double is 0.0
                                                For Column productpriceType is FLOAT value as String is 5.76 value as long is 5 value as double is 5.76
                                                For Column productquantity Type is INTEGER value as String is 100 value as long is 100 value as double is 100.0
                                                For Column productsold Type is INTEGER value as String is 12 value as long is 12 value as double is 12.0
                                                For Column productbarcode Type is STRING value as String is barcode value as long is 0 value as double is 0.0
                                                For Column productlocation Type is STRING value as String is New York value as long is 0 value as double is 0.0
                                                For Column productcategory Type is STRING value as String is Tinned Foods value as long is 0 value as double is 0.0
                                                For Column productnote Type is STRING value as String is fishy stuff value as long is 0 value as double is 0.0
  • 请注意，每一列都有通过 getString、getLong 和 getDouble 方法获得的值。
  • 额外的

添加一行，导致 Bad Row Skipped，如下所示：-

,,,,,,,

添加一行，导致 Bad Row Skipped，如下所示：-

Bananas,,,bardcode,Oxford,Fresh produce,yellow bendy things
于 2018-02-08T06:31:24.900 回答
0

我发现所有的列都被复制到由（“”）包围的 db 中。所以我将代码更改为：

.................................................
     sqLite.beginTransaction();

                    try {
                        while ((line=buffer.readLine()) != null) {
                            String[] values = line.split(",");

                            if(values.length != 8)
                                continue;

                            for(int i = 0; i < values.length; i++)
                                values[i] = values[i].replace("\"", "");


                            ContentValues cv = new ContentValues();
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_NAME,values[0]);
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_PRICE, values[1].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_QUANTITY, values[2].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_SOLD, values[3].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_BARCODE, values[4].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_LOCATION, values[5].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_CATEGORY, values[6].trim());
                            cv.put(ProductContract.ProductEntry.COLUMN_PRODUCT_NOTE, values[7].trim());
                            sqLite.insert(TABLE_NAME,null, cv);
                            Log.e("Inserted",cv.toString());

                        }
                    } catch (SQLException | IOException e) {
                        e.printStackTrace();
                        Log.e("Exception",e.getLocalizedMessage());
                    }

                    sqLite.setTransactionSuccessful();
                    sqLite.endTransaction();
                    successImportingFromCSV=true;
                    Log.v(LOG_TAG, "Restore is successful");

                        } catch (Exception e) {
                    successImportingFromCSV=false;
                    Log.e(LOG_TAG, "Failed to restore from csv " + e);
                }

.................................................

现在它完美运行

于 2018-02-08T17:06:29.277 回答