freeCodeCamp/chain-search-query-helpers-to-narrow-search-results.chinese.md at 3c223c2c7a13a17b68556c8ec044e347f6ca6e86

Files

Xing Liu 3c223c2c7a feat(i18n/Chinese): add translation of install and set up mongoose (1/4) (#39539 )

2020-09-17 16:23:54 +05:30

2.6 KiB

Raw Blame History

id, title, challengeType, forumTopicId, localeTitle

id	title	challengeType	forumTopicId	localeTitle
587d7fb9367417b2b2512c12	Chain Search Query Helpers to Narrow Search Results	2	301533	通过链式调用搜索查询辅助函数来缩小搜索结果

Description

如果不给 Model.find()（或者别的搜索方法）的最后一个参数传入回调函数, 查询将不会执行。你可以将查询条件存储在变量中供以后使用，我们也可以通过链式调用这类变量来构建新的查询字段。实际的数据库操作会在最终调用 .exec() 方法时执行。需要注意的是，你必须给 exec() 传一个回调方法。Mongoose 为我们提供了许多查询辅助函数, 这里我们使用最著名的一种。

Instructions

找出喜欢 burrito 的人并按 name 进行排序。同时，我们需要隐藏他们的 age 属性。结果应限制在两个 document 内。请链式调用 .find()、.sort()、.limit() 和 .select()。最后调用 .exec()，并传入给它传入 done(err, data) 回调函数。

Tests

tests:
  - text: 链接查询辅助函数应该成功
    testString: 'getUserInput => $.ajax({url: getUserInput(''url'') + ''/_api/query-tools'', type: ''POST'', contentType:''application/json'', data: JSON.stringify([{name: ''Pablo'', age: 26, favoriteFoods: [''burrito'', ''hot-dog'']}, {name: ''Bob'', age: 23, favoriteFoods: [''pizza'', ''nachos'']}, {name: ''Ashley'', age: 32, favoriteFoods: [''steak'', ''burrito'']}, {name: ''Mario'', age: 51, favoriteFoods: [''burrito'', ''prosciutto'']} ]) }).then(data => { assert.isArray(data, ''the response should be an Array''); assert.equal(data.length, 2, ''the data array length is not what expected''); assert.notProperty(data[0], ''age'', ''The returned first item has too many properties''); assert.equal(data[0].name, ''Ashley'', ''The returned first item name is not what expected''); assert.notProperty(data[1], ''age'', ''The returned second item has too many properties''); assert.equal(data[1].name, ''Mario'', ''The returned second item name is not what expected'');}, xhr => { throw new Error(xhr.responseText); })'

Challenge Seed

Solution

/**
  Backend challenges don't need solutions, 
  because they would need to be tested against a full working project. 
  Please check our contributing guidelines to learn more.
*/

2.6 KiB Raw Blame History