public Set<Cell<R, C, V>> cellSet() {
      assertTrue(Thread.holdsLock(mutex));
      return delegate.cellSet();
    }

    @Override
    public Map<R, V> column(C columnKey) {
      assertTrue(Thread.holdsLock(mutex));
      return delegate.column(columnKey);
    }

    @Override
    public Set<C> columnKeySet() {
      assertTrue(Thread.holdsLock(mutex));
      return delegate.columnKeySet();
    }

//
//	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()

	switch v := value.(type) {
	case clause.OrderBy:
		tx.Statement.AddClause(v)

saving*. SQLModel understands that the database will provide the `id` and *defines the column as a non-null `INTEGER`* in the database schema. See <a href="https://sqlmodel.tiangolo.com/tutorial/create-db-and-table/#primary-key-id" class="external-link" target="_blank">SQLModel docs on primary keys</a> for details.

* `Field(index=True)` tells SQLModel that it should create a **SQL index** for this column, that would allow faster lookups in the database when reading data filtered by this column....

      Map<C, V> thisRow = requireNonNull(rows.get(rowKey));
      cellColumnInRowIndices[i] = thisRow.size();
      V oldValue = thisRow.put(columnKey, value);
      checkNoDuplicate(rowKey, columnKey, oldValue, value);
      requireNonNull(columns.get(columnKey)).put(rowKey, value);
    }
    this.cellRowIndices = cellRowIndices;
    this.cellColumnInRowIndices = cellColumnInRowIndices;
    ImmutableMap.Builder<R, ImmutableMap<C, V>> rowBuilder =

				if err = tmpRec.Replace(val); err != nil {
					return nil, err
				}
				recs[i] = &tmpRec
			}
			return recs, nil

		default:
			input.Reset()
			input, err = input.Set("_1", &Value{value: v})
			if err != nil {
				return nil, err
			}
		}
		return []*Record{&input}, nil
	}
	return nil, errDataSource(errors.New("unexpected non JSON input"))
}

				distinctElems := reflect.MakeSlice(reflect.SliceOf(fieldType), 0, 10)
				joins := reflect.MakeSlice(reflect.SliceOf(reflect.PointerTo(rel.JoinTable.ModelType)), 0, 10)
				objs := []reflect.Value{}

				appendToJoins := func(obj reflect.Value, elem reflect.Value) {
					joinValue := reflect.New(rel.JoinTable.ModelType)
					for _, ref := range rel.References {
						if ref.OwnPrimaryKey {

	DB.Migrator().AutoMigrate(&Preload{}, &Join{}, &Nested{}, &Value{})

	value1 := Value{
		Name: "value",
		Nested: Nested{
			Preloads: []*Preload{
				{Value: "p1"}, {Value: "p2"},
			},
			Join: Join{Value: "j1"},
		},
	}
	value2 := Value{
		Name: "value2",
		Nested: Nested{
			Preloads: []*Preload{
				{Value: "p3"}, {Value: "p4"}, {Value: "p5"},
			},

	ValueOf                func(context.Context, reflect.Value) (value interface{}, zero bool)
	Set                    func(context.Context, reflect.Value, interface{}) error
	Serializer             SerializerInterface
	NewValuePool           FieldNewValuePool

	// In some db (e.g. MySQL), Unique and UniqueIndex are indistinguishable.

	if user1.Name != "find or init" || user1.ID != 0 || user1.Age != 33 {
		t.Errorf("user should be initialized with search value")
	}

	DB.Where(User{Name: "find or init", Age: 33}).FirstOrInit(&user2)
	if user2.Name != "find or init" || user2.ID != 0 || user2.Age != 33 {
		t.Errorf("user should be initialized with search value")
	}

	DB.FirstOrInit(&user3, map[string]interface{}{"name": "find or init 2"})

		// This is a JSON object type (that preserves key
		// order)
		kvs, _ = v.Value.(jstream.KVS)
	} else {
		// To be AWS S3 compatible Select for JSON needs to
		// output non-object JSON as single column value
		// i.e. a map with `_1` as key and value as the
		// non-object.
		kvs = jstream.KVS{jstream.KV{Key: "_1", Value: v.Value}}
	}

	dstRec, ok := dst.(*Record)
	if !ok {
		dstRec = &Record{}
	}