matchedFieldCount := make(map[string]int, len(columns))
				for idx, column := range columns {
					if field := sch.LookUpField(column); field != nil && field.Readable {
						fields[idx] = field
						if count, ok := matchedFieldCount[column]; ok {
							// handle duplicate fields
							for _, selectField := range sch.Fields {
								if selectField.DBName == column && selectField.Readable {
									if count == 0 {

					clauseSelect.Columns[idx] = clause.Column{Name: name, Raw: true}
				} else if f := db.Statement.Schema.LookUpField(name); f != nil {
					clauseSelect.Columns[idx] = clause.Column{Name: f.DBName}
				} else {
					clauseSelect.Columns[idx] = clause.Column{Name: name, Raw: true}
				}
			}
		} else if db.Statement.Schema != nil && len(db.Statement.Omits) > 0 {

// Order specify order when retrieving records from database
//
//	db.Order("name DESC")
//	db.Order(clause.OrderByColumn{Column: clause.Column{Name: "name"}, Desc: true})
//	db.Order(clause.OrderBy{Columns: []clause.OrderByColumn{
//		{Column: clause.Column{Name: "name"}, Desc: true},
//		{Column: clause.Column{Name: "age"}, Desc: true},
//	}})
func (db *DB) Order(value interface{}) (tx *DB) {
	tx = db.getInstance()

				}
			} else {
				results[col] = result
			}
		} else {
			results[column] = result
		}
	}

	// select columns
	for _, column := range stmt.Selects {
		processColumn(column, true)
	}

	// omit columns
	for _, column := range stmt.Omits {
		processColumn(column, false)
	}

	if stmt.Schema != nil {
		for _, field := range stmt.Schema.FieldsByName {

 * Table} interface.
 *
 * <p>The views returned by {@link #column}, {@link #columnKeySet()}, and {@link #columnMap()} have
 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in

   * generated by applying the specified functions. If multiple inputs are mapped to the same row
   * and column pair, they will be combined with the specified merging function in encounter order.
   *
   * <p>The returned {@code Collector} will throw a {@code NullPointerException} at collection time
   * if the row, column, value, or merging functions return null on any input.
   *

       * documented in the Javadoc. If a row Comparator is provided, cellSet() iterates across the
       * columns in the first row, the columns in the second row, etc. If a column Comparator is
       * provided but a row Comparator isn't, cellSet() iterates across the rows in the first
       * column, the rows in the second column, etc.
       */
      Comparator<Cell<R, C, V>> comparator =

func (ns NamingStrategy) CheckerName(table, column string) string {
	return ns.formatName("chk", table, column)
}

// IndexName generate index name
func (ns NamingStrategy) IndexName(table, column string) string {
	return ns.formatName("idx", table, ns.toDBName(column))
}

// UniqueName generate unique constraint name
func (ns NamingStrategy) UniqueName(table, column string) string {

			if err != nil {
				return nil, fmt.Errorf("column %v not found", name)
			}
			// The position count starts at 1.
			idx--
			if idx >= len(r.csvRecord) || idx < 0 {
				// If field index > number of columns, return null
				return sql.FromNull(), nil
			}
			return sql.FromBytes([]byte(r.csvRecord[idx])), nil
		}
		// TODO: Return Missing?
		return nil, fmt.Errorf("column %v not found", name)
	}

	nextRow, err := pr.r.NextRow()
	if err != nil {
		if err == io.EOF {
			return nil, err
		}
		return nil, errParquetParsingError(err)
	}

	kvs := jstream.KVS{}
	for _, col := range pr.r.Columns() {

		var value interface{}
		if v, ok := nextRow[col.FlatName()]; ok {
			value, err = convertFromAnnotation(col.Element(), v)
			if err != nil {
				return nil, errParquetParsingError(err)
			}
		}