}
				} else {
					tx.Clauses(clause.Eq{Column: ref.ForeignKey.DBName, Value: ref.PrimaryValue})
				}
			}

			_, pvs := schema.GetIdentityFieldValuesMap(association.DB.Statement.Context, reflectValue, primaryFields)
			if column, values := schema.ToQueryValues(rel.JoinTable.Table, joinPrimaryKeys, pvs); len(values) > 0 {
				tx.Where(clause.IN{Column: column, Values: values})
			} else {
				return ErrPrimaryKeyRequired

# conditionBeanMap: (NotRequired - Default map:{})
#
# Specification:
# map:{
#     ; [property-type] = map:{
#         ; [condition-key] = map:{ [table] = list:{ [column] ; [column] } }
# }
#
# property-type: String, Number, Date, OrderBy, ...
# condition-key: NotEqual, GreaterThan, LessThan, GreaterEqual, LessEqual
#              , InScope, NotInScope, PrefixSearch, LikeSearch, NotLikeSearch

				"name": "my name",
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "name"}},
				Values:  [][]interface{}{{"my name"}},
			},
		},
		{
			name: "Test convert int value",
			input: map[string]interface{}{
				"age": 18,
			},
			expect: clause.Values{
				Columns: []clause.Column{{Name: "age"}},
				Values:  [][]interface{}{{18}},
			},
		},
		{

			}},
			"SELECT * FROM `users` WHERE `users`.`id` = ? OR `name` <> ? AND `age` > ?",
			[]interface{}{"1", "jinzhu", 18},
		},
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Where{

 *
 * <p>The allowed row and column keys must be supplied when the table is created. The table always
 * contains a mapping for every row key / column pair. The value corresponding to a given row and
 * column is null unless another value is provided.
 *
 * <p>The table's size is constant: the product of the number of supplied row keys and the number of

					result[k] = make([]interface{}, len(mapValues))
					columns = append(columns, k)
				} else {
					continue
				}
			}

			result[k][idx] = v
		}
	}

	sort.Strings(columns)
	values.Values = make([][]interface{}, len(mapValues))
	values.Columns = make([]clause.Column, len(columns))
	for idx, column := range columns {
		values.Columns[idx] = clause.Column{Name: column}

		for i, v := range result[column] {

}

// AutoIncrement returns the column is auto increment or not.
func (ct ColumnType) AutoIncrement() (isAutoIncrement bool, ok bool) {
	return ct.AutoIncrementValue.Bool, ct.AutoIncrementValue.Valid
}

// Length returns the column type length for variable length column types
func (ct ColumnType) Length() (length int64, ok bool) {
	if ct.LengthValue.Valid {
		return ct.LengthValue.Int64, true
	}
	return ct.SQLColumnType.Length()
}

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 {

							set = append(set, clause.Assignment{Column: clause.Column{Name: field.DBName}, Value: now.UnixNano()})
						} else if field.AutoUpdateTime == schema.UnixMillisecond {
							set = append(set, clause.Assignment{Column: clause.Column{Name: field.DBName}, Value: now.UnixMilli()})
						} else if field.AutoUpdateTime == schema.UnixSecond {
							set = append(set, clause.Assignment{Column: clause.Column{Name: field.DBName}, Value: now.Unix()})

   *
   * <p>The views returned by the {@code Table} methods {@link Table#column}, {@link
   * Table#columnKeySet}, and {@link Table#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