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

以上回答是正确的。

只是一个插件,任何人谁是异步等待而不是 承诺! !

const findAllFoo = async (req, resp, next) => {
    const pageSize = 10;
    const currentPage = 1;

    try {
        const foos = await FooModel.find() // find all documents
            .skip(pageSize * (currentPage - 1)) // we will not retrieve all records, but will skip first 'n' records
            .limit(pageSize); // will limit/restrict the number of records to display

        const numberOfFoos = await FooModel.countDocuments(); // count the number of records for that model

        resp.setHeader('max-records', numberOfFoos);
        resp.status(200).json(foos);

    } catch (err) {
        resp.status(500).json({
            message: err
        });
    }
};

其他回答

这是一个版本,我附加到我所有的模型。为了方便,它依赖于下划线,为了性能,它依赖于异步。opts允许使用mongoose语法进行字段选择和排序。

var _ = require('underscore');
var async = require('async');

function findPaginated(filter, opts, cb) {
  var defaults = {skip : 0, limit : 10};
  opts = _.extend({}, defaults, opts);

  filter = _.extend({}, filter);

  var cntQry = this.find(filter);
  var qry = this.find(filter);

  if (opts.sort) {
    qry = qry.sort(opts.sort);
  }
  if (opts.fields) {
    qry = qry.select(opts.fields);
  }

  qry = qry.limit(opts.limit).skip(opts.skip);

  async.parallel(
    [
      function (cb) {
        cntQry.count(cb);
      },
      function (cb) {
        qry.exec(cb);
      }
    ],
    function (err, results) {
      if (err) return cb(err);
      var count = 0, ret = [];

      _.each(results, function (r) {
        if (typeof(r) == 'number') {
          count = r;
        } else if (typeof(r) != 'number') {
          ret = r;
        }
      });

      cb(null, {totalCount : count, results : ret});
    }
  );

  return qry;
}

将它附加到您的模型模式。

MySchema.statics.findPaginated = findPaginated;

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;
               }

            }
        }
const page = req.query.page * 1 || 1;
const limit = req.query.limit * 1 || 1000;
const skip = (page - 1) * limit;

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

您也可以使用下面的代码行

per_page = parseInt(req.query.per_page) || 10
page_no = parseInt(req.query.page_no) || 1
var pagination = {
  limit: per_page ,
  skip:per_page * (page_no - 1)
}
users = await User.find({<CONDITION>}).limit(pagination.limit).skip(pagination.skip).exec()

这段代码将在最新版本的mongo中工作

最简单和更快速的方法是,用objectId进行分页 例子;

初始加载条件

condition = {limit:12, type:""};

从响应数据中获取第一个和最后一个ObjectId

下一页条件

condition = {limit:12, type:"next", firstId:"57762a4c875adce3c38c662d", lastId:"57762a4c875adce3c38c6615"};

下一页条件

condition = {limit:12, type:"next", firstId:"57762a4c875adce3c38c6645", lastId:"57762a4c875adce3c38c6675"};

在猫鼬

var condition = {};
    var sort = { _id: 1 };
    if (req.body.type == "next") {
        condition._id = { $gt: req.body.lastId };
    } else if (req.body.type == "prev") {
        sort = { _id: -1 };
        condition._id = { $lt: req.body.firstId };
    }

var query = Model.find(condition, {}, { sort: sort }).limit(req.body.limit);

query.exec(function(err, properties) {
        return res.json({ "result": result);
});