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Parent/Child relationships
editParent/Child relationships
editPrior to Elasticsearch 6.x you could have multiple types in a single index. Through the special _parent
field mapping of a given type,
one could create 1 to N relationships of parent ⇒ children documents. This worked because when indexing children, you passed a
_parent
id which acted as the routing key, ensuring a parent, its children and any ancestors all lived on the same shard.
Starting with 6.x indices, multiple types are no longer suppported in a single index. One reason for this is that if for instance
two types have the same name
property, this property needed to be mapped exactly the same for both types, but all the APIs act as if you can map
them individually, often causing confusion. Essentially, _type
always acted as a discriminating field within an index but was often explained
as being more special than this.
So how do you create a parent join, now that indices no longer allow you store different types in the same index and therefor also not on the same shard?
Parent And Child example
editIn the following contrived example we create two .NET types called MyParent
and MyChild
both extending from MyDocument
.
There is no requirement that the parent and child .NET types are related at all. The types could be plain POCO’s or MyChild
could be a subclass of MyParent
. The only requirement is that they have a property where the property type is JoinField
.
As per Elasticsearch’s constraints you should only have a single property of type JoinField on your POCO.
public abstract class MyDocument { public int Id { get; set; } public JoinField MyJoinField { get; set; } } public class MyParent : MyDocument { [Text] public string ParentProperty { get; set; } } public class MyChild : MyDocument { [Text] public string ChildProperty { get; set; } }
Parent And Child mapping
editIn the following example we setup our client and give our types prefered index and type names. Starting with NEST 6.x we can
also give a type a preferred RelationName
as can be seen on the DefaultMappingFor<MyParent>
.
Also note that we give MyChild
and MyParent
the same default doc
type name to make sure they end up in the same index
under the same type.
var connectionPool = new SingleNodeConnectionPool(new Uri("http://localhost:9200")); var connectionSettings = new ConnectionSettings(connectionPool, new InMemoryConnection()) .DefaultMappingFor<MyDocument>(m => m.IndexName("index").TypeName("doc")) .DefaultMappingFor<MyChild>(m => m.IndexName("index").TypeName("doc")) .DefaultMappingFor<MyParent>(m => m.IndexName("index").TypeName("doc").RelationName("parent")); var client = new ElasticClient(connectionSettings);
for the purposes of this example, an in memory connection is used which doesn’t actually send a request. In your application, you’d use the default connection or your own implementation that actually sends a request. |
With the ConnectionSettings
set up, we can proceed to map MyParent
and MyChild
as part of the create index request.
var createIndexResponse = client.CreateIndex("index", c => c .Index<MyDocument>() .Mappings(ms => ms .Map<MyDocument>(m => m .RoutingField(r => r.Required()) .AutoMap<MyParent>() .AutoMap<MyChild>() .Properties(props => props .Join(j => j .Name(p => p.MyJoinField) .Relations(r => r .Join<MyParent, MyChild>() ) ) ) ) ) );
recommended to make the routing field mandatory so you can not accidentally forget |
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Map all of the |
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Map all of the |
|
Additionally map the |
We call AutoMap()
for both types to discover properties of both .NET types. AutoMap()
won’t automatically setup the
join field mapping though because NEST can not infer all the Relations
that are required by your domain.
In this case we setup MyChild
to be child of MyParent
. .Join()
has many overloads so be sure to check them out if you
need to map not one but multiple children.
{ "mappings": { "doc": { "_routing": { "required": true }, "properties": { "parentProperty": { "type": "text" }, "childProperty": { "type": "text" }, "id": { "type": "integer" }, "myJoinField": { "type": "join", "relations": { "parent": "mychild" } } } } } }
Note how MyParent
's relation name is parent
because of the mapping on connection settings. This also comes in handy
later when doing strongly typed has_child
and has_parent
queries.
Indexing parents or children
editNow that we have our join field mapping set up on the index, we can proceed to index parent and child documents.
To mark a document with the relation name of the parent MyParent
all of the following three ways are equivalent.
In the first we explicitly call JoinField.Root
to mark this document as the root of a parent child relationship namely
that of MyParent
. In the following examples we rely on implicit conversion from string
and Type
to do the same.
var parentDocument = new MyParent { Id = 1, ParentProperty = "a parent prop", MyJoinField = JoinField.Root<MyParent>() }; parentDocument = new MyParent { Id = 1, ParentProperty = "a parent prop", MyJoinField = typeof(MyParent) }; parentDocument = new MyParent { Id = 1, ParentProperty = "a parent prop", MyJoinField = "myparent" }; var indexParent = client.IndexDocument<MyDocument>(parentDocument);
this lets the join data type know this is a root document of type |
|
this lets the join data type know this is a root document of type |
{ "id": 1, "parentProperty": "a parent prop", "myJoinField": "myparent" }
Linking the child document to its parent follows a similar pattern.
Here we create a link by inferring the id from our parent instance parentDocument
var indexChild = client.IndexDocument<MyDocument>(new MyChild { MyJoinField = JoinField.Link<MyChild, MyParent>(parentDocument) });
or here we are simply stating this document is of type mychild
and should be linked
to parent id 1 from parentDocument
.
indexChild = client.IndexDocument<MyDocument>(new MyChild { Id = 2, MyJoinField = JoinField.Link<MyChild>(1) });
{ "id": 2, "myJoinField": { "name": "mychild", "parent": "1" } }
The mapping already links myparent
as the parent type so we only need supply the parent id.
In fact there are many ways to create join field:
Expect("myparent").WhenSerializing(JoinField.Root(typeof(MyParent))); Expect("myparent").WhenSerializing(JoinField.Root(Relation<MyParent>())); Expect("myparent").WhenSerializing(JoinField.Root<MyParent>()); Expect("myparent").WhenSerializing(JoinField.Root("myparent")); var childLink = new { name = "mychild", parent = "1" }; Expect(childLink).WhenSerializing(JoinField.Link<MyChild>(1)); Expect(childLink).WhenSerializing(JoinField.Link<MyChild, MyParent>(parentDocument)); Expect(childLink).WhenSerializing(JoinField.Link("mychild", 1)); Expect(childLink).WhenSerializing(JoinField.Link(typeof(MyChild), 1));
Routing parent child documents
editA parent and all of it’s (grand)children still need to live on the same shard so you still need to take care of specifying routing.
In the past you would have to provide the parent id on the request using parent=<parentid>
this was always an alias for routing
and thus in Elasticsearch 6.x you need to provide routing=<parentid>
instead.
NEST has a handy helper to infer the correct routing value given a document that is smart enough to find the join field and infer correct parent.
var infer = client.Infer; var parent = new MyParent {Id = 1337, MyJoinField = JoinField.Root<MyParent>()}; infer.Routing(parent).Should().Be("1337"); var child = new MyChild {Id = 1338, MyJoinField = JoinField.Link<MyChild>(parentId: "1337")}; infer.Routing(child).Should().Be("1337"); child = new MyChild {Id = 1339, MyJoinField = JoinField.Link<MyChild, MyParent>(parent)}; infer.Routing(child).Should().Be("1337");
here we index parent
and rather than fishing out the parent id by inspecting parent
we just pass the instance
to Routing
which can infer the correct routing key based on the JoinField property on the instance
var indexResponse = client.Index(parent, i => i.Routing(Routing.From(parent))); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=1337");
The same goes for when we index a child, we can pass the instance directly to Routing
and NEST will use the parent id
already specified on child
. Here we use the static import using static Nest.Infer
and it’s Route()
static method to
create an instance of Routing
indexResponse = client.Index(child, i => i.Routing(Route(child))); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=1337");
Wouldn’t be handy if NEST does this automatically? It does!
indexResponse = client.IndexDocument(child); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=1337");
You can always override the default inferred routing though
indexResponse = client.Index(child, i => i.Routing("explicit")); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=explicit"); indexResponse = client.Index(child, i => i.Routing(null)); indexResponse.ApiCall.Uri.Query.Should().NotContain("routing");
This works for both the fluent and object initializer syntax
var indexRequest = new IndexRequest<MyChild>(child); indexResponse = client.Index(indexRequest); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=1337");
Its important to note that the routing is resolved at request time, not instantation time
here we update the child
's JoinField
after already creating the index request for child
child.MyJoinField = JoinField.Link<MyChild>(parentId: "something-else"); indexResponse = client.Index(indexRequest); indexResponse.ApiCall.Uri.Query.Should().Contain("routing=something-else");
If you use multiple levels of parent and child relations e.g A => B => C
, when you index C
, you
need to provide the id of A
as the routing key but the id of B
to set up the relation on the join field.
In this case, NEST JoinRouting
helper is unable to resolve to the id of A
and will return the id of B
.