![]() ![]() You can string together multiple filters by constructing JSON. Database connector implementation differences Filter on exact field value Filter on object property Filter on nested object property Filtering on an array. PostgreSQL does not support filtering on object key values in arrays. The filters key allows you to filter the query results for records matching specific values. The value assigned to each filter key is either a single id or list of comma separated ids. Before v2.23.0: you can filter on the exact Json field value, but you cannot use the other features described in this section.Īdvanced Json filtering is supported by PostgreSQL and MySQL only with different syntaxes for the path option. The filter key is an associative array that can contain a set list of resource names in my API.From v2.23.0, but before v4.0.0: advanced Json filtering is a preview feature.V4.0.0 or later: advanced Json filtering is generally available.The availability of advanced Json filtering depends on your Prisma version: See also: Advanced example: Update a nested JSON key value Filter on a Json fieldįrom v2.23.0, you can filter rows by the data inside a Json type. The number of filters that you can apply to a single request is limited only by the maximum URL length, which generally depends on the client used.Note: JavaScript objects (for example, ) are automatically converted to JSON. ?filter_filterType_=_spec_&_filterType_=_spec_. Specify filters in the HTTP query string: Specify search criteria similar to a WHERE clause in SQL. Specify sort order: ascending or descending. When filtering record data, use the recordType domain to reference a record field, related record field. Include results from related models, for relations such as belongsTo and hasMany. The name of the field or relationship to be filtered. The name of the tag is specified as a JSON key, with the query string (or object). There are two recommended methods to retrieve selected fields from a search query: Use the fields option to extract the values of fields present in the. Specify fields to include in or exclude from the response. Queries and filters are tagged by wrapping them in a surrounding JSON object. By default, each hit in the search response includes the document source, which is the entire JSON object that was provided when indexing the document. The following table describes LoopBack’s filter types: Filter type Previously, only the PersistedModel.find() method (and related methods) supported this syntax. LoopBack supports a specific filter syntax: it’s a lot like SQL, but designed specifically to serialize safely without injection and to be native to JavaScript. In both REST and Node API, you can use any number of filters to define a query. See Model REST API - Find instance by ID.Īccount. To view the raw JSON, set up and save your request, and then click Output options > More options > JMESPath > View API response. Where optional filter is a JSON object containing the query filters. See Model REST API - Find first instance. See Model REST API - Find matching instances.įind first model instance using specified filters. Where filter is a JSON object containing the query filters. Queryįind all model instances using specified filters. In both cases, LoopBack models return JSON. The capabilities and options of the two APIs are the same–the only difference is the syntax used in HTTP requests versus Node function calls. Filters specify criteria for the returned data set. You can query LoopBack models using a Node API and a REST API, using filters, as outlined in the following table. ![]() I’m going to use jq to filter the data returned by the GitHub repository API. 3 I’m going to ignore the pretty-printing and jump right into using jq to transform JSON documents. A query is a read operation on models that returns a set of data or results. This filter is handy for just pretty-printing a JSON document. ![]()
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