我正在使用Fluent NHibernate映射现有数据库,并且在尝试填充多对多集合时遇到了问题。使用外键没有正确设置数据库本身,这是我遇到的问题的简化示例。
表:
public class User
{
public virtual long UserID { get; set; }
public virtual string Name { get; set; }
public virtual IList<Group> Groups { get; set; }
}
public class Group
{
public virtual long GroupID { get; set; }
public virtual string Name { get; set; }
public virtual IList<User> Users { get; set; }
}
public class UserInGroup
{
public virtual User User { get; set; }
public virtual Group Group { get; set; }
#region Fluent NHibernate Composite Key Overrides
public override bool Equals(object obj)
{
if (obj == null)
return false;
var compare = obj as UserInGroup;
if (compare == null)
return false;
return User.UserID == compare.User.UserID &&
Group.GroupID == compare.Group.GroupID;
}
public override int GetHashCode()
{
return (User.UserID + "|" + Group.GroupID).GetHashCode();
}
#endregion
}
public class UserMap : ClassMap<User>
{
public UserMap()
{
Table("Users");
Id(x => x.UserID, "UserID").GeneratedBy.Identity();
Map(x => x.Name, "Name");
HasManyToMany(x => x.Groups).Table("UsersInGroups")
.ParentKeyColumn("GroupID")
.ChildKeyColumn("UserID")
.Cascade.All();
}
}
public class GroupMap : ClassMap<Group>
{
public GroupMap()
{
Table("Groups");
Id(x => x.GroupID, "GroupID").GeneratedBy.Identity();
Map(x => x.Name, "Name");
HasManyToMany(x => x.Users).Table("UsersInGroups")
.ParentKeyColumn("UserID")
.ChildKeyColumn("GroupID")
.Inverse();
}
}
public class UserInGroupMap : ClassMap<UserInGroup>
{
public UserInGroupMap()
{
Table("UsersInGroups");
CompositeId().KeyReference(x => x.User, "UserID")
.KeyReference(x => x.Group, "GroupID");
}
}
在我的配置中,我启用了热切加载,HasMany关系似乎工作正常,但HasManyToMany关系返回一个空集合。我在集合上尝试了几种不同的Cascade.All()和Inverse组合,但都没有成功。非常感谢任何帮助,谢谢。
答案 0 :(得分:2)
HasManyToMany(x => x.Users).Table("UsersInGroups")
.ParentKeyColumn("UserID")
.ChildKeyColumn("GroupID")
.Not.LazyLoad();
答案 1 :(得分:0)
import plotly.plotly as py
import plotly.graph_objs as go
from plotly.tools import FigureFactory as FF
fig = go.Figure()
data_matrix = [['Tracer gas/nm', '200', '300','400','500'],['HCHO', "", ],
['CHOCHO',],['BrO', ], ['O3', ],['O2', ],['NO2',]]
table = FF.create_table(data_matrix)
py.iplot(table, filename='simple_table')
# py.image.save_as(fig, filename='a-simple-plot.png')