if stmt.Schema != nil && len(values.Columns) >= 1 {
				selectColumns, restricted := stmt.SelectAndOmitColumns(true, true)

				columns := make([]string, 0, len(values.Columns)-1)
				for _, column := range values.Columns {
					if field := stmt.Schema.LookUpField(column.Name); field != nil {
						if v, ok := selectColumns[field.DBName]; (ok && v) || (!ok && !restricted) {

	q.db.Where(query, args...)
	return q
}

func (q *joinBuilder) Select(columns ...string) JoinBuilder {
	q.db.Select(columns)
	return q
}

func (q *joinBuilder) Omit(columns ...string) JoinBuilder {
	q.db.Omit(columns...)
	return q
}

type preloadBuilder struct {
	limitPerRecord int
	db             *DB
}

func (db *DB) Omit(columns ...string) (tx *DB) {
	tx = db.getInstance()

	if len(columns) == 1 && strings.ContainsRune(columns[0], ',') {
		tx.Statement.Omits = strings.FieldsFunc(columns[0], utils.IsInvalidDBNameChar)
	} else {
		tx.Statement.Omits = columns
	}
	return
}

		t.Skip("skip sqlserver due to it will raise data race for invalid sql")
	}

	var columns []string
	if DB.Where("sdsd.zaaa = ?", "sd;;;aa").Pluck("aaa", &columns).Error == nil {
		t.Errorf("Should got error with invalid SQL")
	}

	if DB.Model(&User{}).Where("sdsd.zaaa = ?", "sd;;;aa").Pluck("aaa", &columns).Error == nil {
		t.Errorf("Should got error with invalid SQL")
	}

				}
			} 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

			queryValues[idx] = r[0]
		}

		return clause.Column{Table: table, Name: foreignKeys[0]}, queryValues
	}

	columns := make([]clause.Column, len(foreignKeys))
	for idx, key := range foreignKeys {
		columns[idx] = clause.Column{Table: table, Name: key}
	}

	for idx, r := range foreignValues {
		queryValues[idx] = r
	}

	return columns, queryValues
}

type embeddedNamer struct {

/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns
 * are both sorted, it's easier to use the {@link TreeBasedTable} subclass.
 *
 * <p>The {@link #rowKeySet} method returns a {@link SortedSet} and the {@link #rowMap} method

/**
 * Implementation of {@code Table} whose iteration ordering across row keys is sorted by their
 * natural ordering or by a supplied comparator. Note that iterations across the columns keys for a
 * single row key may or may not be ordered, depending on the implementation. When rows and columns
 * are both sorted, it's easier to use the {@link TreeBasedTable} subclass.
 *
 * <p>The {@link #rowKeySet} method returns a {@link SortedSet} and the {@link #rowMap} method

				r.err = errCSVParsingError(err)
				return errCSVParsingError(err)
			}
			return err
		}

		if r.args.FileHeaderInfo == use {
			// Copy column names since records will be reused.
			columns := append(make([]string, 0, len(record)), record...)
			r.columnNames = columns
		}
	}

	r.bufferPool.New = func() []byte {
		return make([]byte, csvSplitSize+1024)
	}

	// Return first block