I have a dictionary which I want to map using fluent mapping, and for some properties of MyDto class, I need to add normalizer.
new CreateIndexDescriptor("indexName")
.Mappings(ms => ms.Map<Entity>(e => new PutMappingDescriptor<Entity>()
.AutoMap()
.Properties(o => o.Object<IDictionary<string, MyDto>>(
m => m.AutoMap().Name(f => f.SomeProperty))
my class definitions:
class MyEntity {
...
Dictionary<string, MyDto> SomeProperty {get;set;}
...
}
class MyDto {
...
string Name {get;set;}
...
}
It's not possible to add this as an explicit mapping, but it is through a dynamic template.
Let's look at why it's not possible through explicit mapping. Consider how Dictionary<string, MyDto> SomeProperty
will serialize to JSON. For example
client.IndexDocument(new MyEntity
{
SomeProperty = new Dictionary<string, UserQuery.MyDto>
{
{ "field_1", new MyDto { Name = "foo" } },
{ "field_2", new MyDto { Name = "bar" } }
}
});
by default will serialize as
{
"someProperty": {
"field_1": {
"name": "foo"
},
"field_2": {
"name": "bar"
}
}
}
If we wanted to apply an explicit mapping to MyDto.Name
, we would need to know at the point of mapping, all of the dictionary keys that will be used.
You can however, configure a dynamic template that will map any MyDto.Name
as a keyword
type, using path_match
private static void Main()
{
var defaultIndex = "my_index";
var pool = new SingleNodeConnectionPool(new Uri("http://localhost:9200"));
var settings = new ConnectionSettings(pool)
.DefaultIndex(defaultIndex);
var client = new ElasticClient(settings);
if (client.IndexExists(defaultIndex).Exists)
client.DeleteIndex(defaultIndex);
var createIndexResponse = client.CreateIndex(defaultIndex, c => c
.Settings(s => s
.NumberOfShards(1)
.NumberOfReplicas(0)
)
.Mappings(m => m
.Map<MyEntity>(mm => mm
.AutoMap()
.DynamicTemplates(dt => dt
.DynamicTemplate("MyDto", dtd => dtd
.PathMatch("someProperty.*.name")
.Mapping(dm => dm
.Keyword(k => k)
)
)
)
.Properties(p => p
.Object<Dictionary<string, MyDto>>(o => o
.Name(n => n.SomeProperty)
)
)
)
)
);
var indexResponse = client.Index(new MyEntity
{
SomeProperty = new Dictionary<string, UserQuery.MyDto>
{
{ "field_1", new MyDto { Name = "foo" } },
{ "field_2", new MyDto { Name = "bar" } }
}
}, i => i.Refresh(Refresh.WaitFor));
var mappingResponse = client.GetMapping<MyEntity>();
}
public class MyEntity
{
public Dictionary<string, MyDto> SomeProperty { get; set; }
}
public class MyDto
{
public string Name { get; set; }
}
The mapping response confirms that someProperty.field_1.name
and someProperty.field_2.name
are mapped as keyword
{
"my_index" : {
"mappings" : {
"myentity" : {
"dynamic_templates" : [
{
"MyDto" : {
"path_match" : "someProperty.*.name",
"mapping" : {
"type" : "keyword"
}
}
}
],
"properties" : {
"someProperty" : {
"properties" : {
"field_1" : {
"properties" : {
"name" : {
"type" : "keyword"
}
}
},
"field_2" : {
"properties" : {
"name" : {
"type" : "keyword"
}
}
}
}
}
}
}
}
}
}
You may want to consider adding a property to MyDto
to hold the dictionary key, and use a List<MyDto>
or similar collection mapped as a nested
datatype, rather than Dictionary<string, MyDto>
, if users can add any arbitrary key names they wish. With a high cardinality of dictionary keys, you run the risk of a mapping explosion and hitting the maximum number of fields soft limit and a lot of sparse fields, which can affect performance. With a List<MyDto>
property type, you would not have this issue and can still query on the key field, at the expense of the trade-off that a List<MyDto>
may be less optimal for your application code than a Dictionary<string, MyDto>
. Something to consider :)