nodejs+mongodb aggregate cascade query operation example-JS Tutorial-php.cn

nodejs+mongodb aggregate cascade query operation example

亚连

Release： 2018-05-29 16:36:08

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This article mainly introduces the nodejs mongodb aggregate cascade query operation, and analyzes the related operation skills of the nodejs-based mongodb database cascade query in the form of examples. Friends in need can refer to the following

The examples in this article describe nodejs mongodb aggregate cascade query operation. Share it with everyone for your reference, the details are as follows:

I recently completed a nodejs mongoose project and encountered the cascade query operation of mongodb. The situation is to implement a ranking list to view the top ten people who have published the most valid articles among the customers of a certain company (organization).

Account table: Company information exists in a separate account table.

var AccountSchema = new Schema({
  loginname: {type: String},
  password: {type: String},
  /**
   * 联系方式
   */
  //账户公司名
  comName: {type: String},
  //地址
  address: {type: String},
  //公司介绍
  intro: {type: String}
});
mongoose.model(&#39;Account&#39;, AccountSchema);

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Cusomer table: The company's customer base.

var CustomerSchema = new Schema({
  /**
   * 基本信息
   */
  //密码
  password: {type: String},
  //归属于哪个Account
  belongToAccount: {type: ObjectId, ref: &#39;Account&#39;},
  //手机号，登录用
  mobile: {type: String},
  //真实姓名
  realname: {type: String}
});
CustomerSchema.index({belongToAccount: 1, mobile: 1}, {unique: true});
mongoose.model(&#39;Customer&#39;, CustomerSchema);

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article table

var articleSchema= new Schema({
  belongToAccount: {type: ObjectId, ref: &#39;Account&#39;},
  title: {type: String},
  text: {type: String},
  createTime: {type: Date, default: Date.now},
  author: {type: ObjectId, ref: &#39;Customer&#39;},
  //0,待确认,1 有效 ,-1 无效
  status: {type: Number, default: 0}
});
articleSchema.index({belongToAccount: 1, createTime:-1,author: 1}, {unique: false});
mongoose.model(&#39;article&#39;, articleSchema);

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What we need to do here is to organize and sort the soft articles by accountId→aggregate→cascade author to find the author's name and other information.

The code is as follows:

exports.getRankList = function (accountid, callback) {
  AticleModel.aggregate(
    {$match: {belongToAccount: mongoose.Types.ObjectId(accountid), status: 1}},
    {$group: {_id: {customerId: "$author"}, number: {$sum: 1}}},
    {$sort: {number: -1}}).limit(10).exec(function (err, aggregateResult) {
    if(err){
      callback(err);
      return;
    }
      var ep = new EventProxy();
      ep.after(&#39;got_customer&#39;, aggregateResult.length, function (customerList) {
        callback(null, customerList);
      });
       aggregateResult.forEach(function (item) {
        Customer.findOne({_id: item._id.customerId}, ep.done(function (customer) {
          item.customerName = customer.realname;
          item.customerMobile=cusomer.mobile;
          // do someting
          ep.emit(&#39;got_customer&#39;, item);
        }));
      })
    });
};

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The returned result format (there are only two records here, actually the top ten):

[ { _id: { customerId: 559a5b6f51a446602032fs21 }, number: 5,
customerName: &#39;test2&#39;,
mobile:22 } ，
{ _id: { customerId: 559a5b6f51a446602041ee6f }, number: 1,
customerName: &#39;test1&#39;,
mobile: 11 } ]

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The above is what I compiled for everyone, I hope It will be helpful to everyone in the future.

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