clause.Where{Exprs: []clause.Expression{
				clause.Eq{Column: clause.PrimaryColumn, Value: "1"},
				clause.Gt{Column: "age", Value: 18},
				clause.Or(clause.Neq{Column: "name", Value: "jinzhu"}),
			}},
			clause.Where{Exprs: []clause.Expression{
				clause.Or(clause.Gt{Column: "score", Value: 100}, clause.Like{Column: "name", Value: "%linus%"}),
			}},

			if idx > 0 {
				builder.WriteByte(',')
			}

			builder.WriteQuoted(column.Column)
			if column.Desc {
				builder.WriteString(" DESC")
			}
		}
	}
}

// MergeClause merge order by clauses
func (orderBy OrderBy) MergeClause(clause *Clause) {
	if v, ok := clause.Expression.(OrderBy); ok {
		for i := len(orderBy.Columns) - 1; i >= 0; i-- {
			if orderBy.Columns[i].Reorder {

			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

func TestValues(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},
		},

/**
 * 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

		},
		{
			Name: "idx_user_indices_name8",
			Type: "",
			Fields: []schema.IndexOption{
				{Field: &schema.Field{Name: "Name8"}, Length: 10},
				// Note: Duplicate Columns
				{Field: &schema.Field{Name: "Name8"}, Collate: "utf8"},
			},
		},
		{
			Class:  "UNIQUE",
			Name:   "idx_user_indices_idx_compname_1",
			Option: "NULLS NOT DISTINCT",

	}

	hasLogID := false
	for _, column := range columns {
		if column.Name() == "log_id" {
			hasLogID = true
			autoIncrement, ok := column.AutoIncrement()
			if !ok || !autoIncrement {
				t.Fatalf("column log_id should be auto incrementment")
			}
		}
	}

	if !hasLogID {
		t.Fatalf("failed to found column log_id")
	}
}

type Post struct {

	}

	hasLogID := false
	for _, column := range columns {
		if column.Name() == "log_id" {
			hasLogID = true
			autoIncrement, ok := column.AutoIncrement()
			if !ok || !autoIncrement {
				t.Fatalf("column log_id should be auto incrementment")
			}
		}
	}

	if !hasLogID {
		t.Fatalf("failed to found column log_id")
	}
}