Simple encapsulation based on Netcore for elasitsearch client nest query function nest.repository

NEST. Repository

A simple encapsulation with NEST Client for search data form Elasticsearch.

GitHub

Apinestreaderrepository

TEntityGet (TKeyID);TEntityGet (func<querycontainerdescriptor<Tentity>,Querycontainer>Filterexp=Nullfunc<sourcefilterdescriptor<Tentity>,Isourcefilter>Includefieldexp=Nullexpression<func<TEntity,Object>>Sortexp=NullSortOrderSortType= SortOrder.Ascending);tuple<Long, list<tentity>>GetList (func<querycontainerdescriptor<Tentity>,Querycontainer>filterexp = null, Func<sourcefilterdescriptor<TENTITY> ISourceFilter> Span class= "Pl-smi" >includefieldexp = null, Expression <func<tentity, object>> sortexp = null, SortOrder sorttype = sortorder.ascending, int  Limit = 10, int skip = 0)             

Nestreaderrepositoryasync

task<Tentity>Getasync (TKeyID);task<Tentity>Getasync (func<querycontainerdescriptor<Tentity>,Querycontainer>Filterexp=Nullfunc<sourcefilterdescriptor<Tentity>,Isourcefilter>Includefieldexp=Nullexpression<func<TEntity,Object>>Sortexp=NullSortOrderSortType= SortOrder.Ascending);task<tuple<Long, list<tentity>>>Getlistasync (func<querycontainerdescriptor<Tentity>,Querycontainer>filterexp = null, Func<sourcefilterdescriptor<TENTITY> ISourceFilter> Span class= "Pl-smi" >includefieldexp = null, Expression <func<tentity, object>> sortexp = null, SortOrder sorttype = sortorder.ascending, int  Limit = 0, int skip = 0)             

Depend on

NEST 6.0.2repository.ientity 2.0. 1 (Youcan write ientity<t> interface and you entity inherit it.) 

How to use

First, you need has an entity inherit Ientity<t>, and T is type of PrimaryKey. eg

 [Serializable][bsonignoreextraelements]public class    user: ientity<long>{[Bsonid] public long id {get; set;} public double age {get; set;} public double sex {get; set;} public string like {get; set; }} 

Second, you need has a repository inherit nestreaderrepository or Nestreaderrepositoryasync. eg

nestreaderrepository<"Http://localhost:9200/Base (connstring) {}} 

Now, you can search the data with the simple API. eg

 Staticvoidmain (string[] args) { Repository.container.repositorycontainer.register<userrepo> (); var userrepo = repository.container.repositorycontainer.resolve< Userrepo> (); var user = Userrepo.get (9); var users = userrepo.getlist (filterexp:q = +q.range (r = R.Field (f = F.age). GreaterThan (13). LessThan (28), includefieldexp:p = p.includes (i = i.fields (f = f.f = F.sex, f = f.like), sortexp:s = S.age , sortType:Nest.SortOrder.Ascending, limit: 100, skip: 0);}   

How to write a query0x00. Structured Search

By default, documents would be returned in _score descending order, where the _score for each hits is the relevancy score CA Lculated for why well the document matched the query criteria.

Q = Q.daterange (r = r)    . Field (f = F.{field with DateTime Type})    . Greaterthanorequals (DateTime (01)). LessThan (DateTime    ))

The benefit of executing a query in a filter context was that Elasticsearch was able to forgo calculating a relevancy score, As well as the cache filters for faster subsequent performance.

Q = q.bool (b = b.filter (BF = BF)    . DateRange (r = r)        . Field (f = F.{field with DateTime Type})        . Greaterthanorequals (DateTime (01)). LessThan (()    ))))

0x01. Unstructured Search

Full text queries (find all documents, contain "Russ" in the lead developer First Name field)

Q = q.match (M + = m)    . Field (f = f.leaddeveloper.firstname)    . Query ("Russ")) 

0x02. Combining Search

Q = Q.bool (b + = b    . Must (mu = mu        . Match (m = M            . Field (f = f.leaddeveloper.firstname)            . Query ("Russ")        ), mu = mu        . Match (m = M            . Field (f = f.leaddeveloper.lastname)            . Query ("Cam")). Filter (fi = fi. DateRange (r = r). Field (f = f.startedon). Greaterthanorequals (DateTime (01)). LessThan (()        ))))

Use operator

Q = q.match (M + = m)        . Field (f = f.leaddeveloper.firstname)        . Query ("Russ")    ) && Q    . Match (m = M        . Field (f = f.leaddeveloper.lastname)        . Query ("Cam")) && +q. DateRange (r = r). Field (f = f.startedon). Greaterthanorequals (DateTime (01)). LessThan (DateTime        )))

Should ==> OR ==> | |
Must ==> and ==> &&
Must_not ==> not==>!
Filter ==> +

The query would be converted to a BOOL query if use any operator, and the answer to the BOOL query are always yes or no, so That would not be score.

Reference

Https://www.elastic.co/guide/en/elasticsearch/client/net-api/current/writing-queries.html

Https://www.elastic.co/guide/en/elasticsearch/client/net-api/current/bool-queries.html

Simple encapsulation based on Netcore for elasitsearch client nest query function nest.repository