我正在用Node.js和mongoose写一个web应用程序。如何对我从.find()调用得到的结果进行分页?我想要一个功能可比的“限制50,100”在SQL。


当前回答

在用Rodolphe提供的信息仔细研究了Mongoose API后,我想出了这个解决方案:

MyModel.find(query, fields, { skip: 10, limit: 5 }, function(err, results) { ... });

其他回答

查询:

search = productName

参数:

page = 1 

// Pagination
router.get("/search/:page", (req, res, next) => {
    const resultsPerPage = 5;
    let page = req.params.page >= 1 ? req.params.page : 1;
    const query = req.query.search;

    page = page - 1

    Product.find({ name: query })
        .select("name")
        .sort({ name: "asc" })
        .limit(resultsPerPage)
        .skip(resultsPerPage * page)
        .then((results) => {
            return res.status(200).send(results);
        })
        .catch((err) => {
            return res.status(500).send(err);
        });
});

实现这一点的可靠方法是使用查询字符串从前端传递值。假设我们想要获得第2页,并将输出限制为25个结果。 page=2&limit=25 //这将被添加到您的URL: http:localhost:5000?= 2限制= 25页

让我们看看代码:

// We would receive the values with req.query.<<valueName>>  => e.g. req.query.page
// Since it would be a String we need to convert it to a Number in order to do our
// necessary calculations. Let's do it using the parseInt() method and let's also provide some default values:

  const page = parseInt(req.query.page, 10) || 1; // getting the 'page' value
  const limit = parseInt(req.query.limit, 10) || 25; // getting the 'limit' value
  const startIndex = (page - 1) * limit; // this is how we would calculate the start index aka the SKIP value
  const endIndex = page * limit; // this is how we would calculate the end index

// We also need the 'total' and we can get it easily using the Mongoose built-in **countDocuments** method
  const total = await <<modelName>>.countDocuments();

// skip() will return a certain number of results after a certain number of documents.
// limit() is used to specify the maximum number of results to be returned.

// Let's assume that both are set (if that's not the case, the default value will be used for)

  query = query.skip(startIndex).limit(limit);

  // Executing the query
  const results = await query;

  // Pagination result 
 // Let's now prepare an object for the frontend
  const pagination = {};

// If the endIndex is smaller than the total number of documents, we have a next page
  if (endIndex < total) {
    pagination.next = {
      page: page + 1,
      limit
    };
  }

// If the startIndex is greater than 0, we have a previous page
  if (startIndex > 0) {
    pagination.prev = {
      page: page - 1,
      limit
    };
  }

 // Implementing some final touches and making a successful response (Express.js)

const advancedResults = {
    success: true,
    count: results.length,
    pagination,
    data: results
 }
// That's it. All we have to do now is send the `results` to the frontend.
 res.status(200).json(advancedResults);

我建议将这个逻辑实现到中间件中,这样你就可以将它用于各种路由/控制器。

尝试使用mongoose函数进行分页。限制是每页的记录数量和页的数量。

var limit = parseInt(body.limit);
var skip = (parseInt(body.page)-1) * parseInt(limit);

 db.Rankings.find({})
            .sort('-id')
            .limit(limit)
            .skip(skip)
            .exec(function(err,wins){
 });

你可以像这样串起来:

var query = Model.find().sort('mykey', 1).skip(2).limit(5)

使用exec执行查询

query.exec(callback);

MongoDB官方博客有一个关于分页的条目,在那里他们解释了为什么“跳过”可能会很慢,并提供了替代方案:https://www.mongodb.com/blog/post/paging-with-the-bucket-pattern--part-1