你可以使用一个叫Mongoose Paginate的小包，让它更容易。

$ npm install mongoose-paginate

在你的路由或控制器后，只需添加:

/**
 * querying for `all` {} items in `MyModel`
 * paginating by second page, 10 items per page (10 results, page 2)
 **/

MyModel.paginate({}, 2, 10, function(error, pageCount, paginatedResults) {
  if (error) {
    console.error(error);
  } else {
    console.log('Pages:', pageCount);
    console.log(paginatedResults);
  }
}

这是我在代码中做的

var paginate = 20;
var page = pageNumber;
MySchema.find({}).sort('mykey', 1).skip((pageNumber-1)*paginate).limit(paginate)
    .exec(function(err, result) {
        // Write some stuff here
    });

我就是这么做的。

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。

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);

您可以使用skip()和limit()，但效率非常低。更好的解决方案是对索引字段加上limit()进行排序。 我们在Wunderflats发布了一个小库:https://github.com/wunderflats/goosepage 它用了第一种方法。

也可以用async/await实现结果。

下面的代码示例使用hapi v17和mongoose v5的异步处理程序

{
            method: 'GET',
            path: '/api/v1/paintings',
            config: {
                description: 'Get all the paintings',
                tags: ['api', 'v1', 'all paintings']
            },
            handler: async (request, reply) => {
                /*
                 * Grab the querystring parameters
                 * page and limit to handle our pagination
                */
                var pageOptions = {
                    page: parseInt(request.query.page) - 1 || 0, 
                    limit: parseInt(request.query.limit) || 10
                }
                /*
                 * Apply our sort and limit
                */
               try {
                    return await Painting.find()
                        .sort({dateCreated: 1, dateModified: -1})
                        .skip(pageOptions.page * pageOptions.limit)
                        .limit(pageOptions.limit)
                        .exec();
               } catch(err) {
                   return err;
               }

            }
        }