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Crie um índice com mapeamentos de campos estáticos
Visão geral
In this guide, you will learn how to index only specified fields in documents by creating an index with static field mappings. Static mappings allow you to independently index fields for specific use cases such as faceting.
Tempo necessário: 5 minutos
O que você precisa
Uma conta MongoDB. Consulte Inscrever-se em uma conta MongoDB.
Um Atlas cluster. Consulte Criar um cluster.
Exemplos de conjuntos de dados carregados em seu cluster.
Procedimento
Navegue até a página Implantações de bancos de dados do seu projeto.
Create a static search index.
Clique em Create Index.
Select the Visual Editor configuration method, then click Next.
For the Database and Collection, select the sample_supplies
database and the sales
collection. Then, click Next.
Click Refine Your Index in the bottom left. Then, in the Index Configurations pane, toggle off Dynamic Mapping.
In the Field Mappings pane, click Add Field Mapping. In the modal window, select storeLocation
from the Field Name dropdown menu.
From the Data Type dropdown menu, select String
. Leave the Index Configurations values unchanged, and click Add at the bottom of the modal window.
Run a query on your index.
On the Search Tester page, type London
into the search bar, then click Search.
Review the results.
This query returns all documents in the sales
collection with a storeLocation
of London
. Your results should resemble the following sample documents:
SCORE: 0.8888952136039734 salesDate: 2017-12-03T18:39:48.253+00:00 items: Array storeLocation: "London" SCORE: 0.8888952136039734 salesDate: 2015-05-15T13:43:24.561+00:00 items: Array storeLocation: "London" SCORE: 0.8888952136039734 salesDate: 2016-02-06T09:35:02.820+00:00 items: Array storeLocation: "London"
Each record also includes a relevance score. You can expand Array
and Object
fields to view their contents by clicking on them.
Click Edit Query Syntax. The modal window displays the query sent through the Atlas Search API.
Type online
into the search bar, then click Search.
Even though some records include the string online
in the purchaseMethod
field, no records appear. The index only has a mapping for the storeLocation
field, which means that Atlas Search only returns records with matching values in the storeLocation
field.
Resumo
If you successfully completed the procedure in this guide, you have created an Atlas Search index with a static field mapping and used it to perform a targeted relevance-based search. In the next guide, you will learn how to perform compound searches against specific fields using the aggregation pipeline.
Retrieve documents in MongoDB with a query on multiple fields.