javascript – 如何模拟PouchDB上的聚合函数avg,sum,max,min和count？

有谁知道如何在PouchDB数据库上创建聚合函数,例如avg,sum,max和min.我创建了一个简单的应用程序来测试PouchDB.我还没弄明白如何运行这些命令.提前致谢.

例如.您如何获得“数字”字段的最高,最低或平均值？

My main Ionic 2 component

import {Component} from '@angular/core';
import {Platform, ionicBootstrap} from 'ionic-angular';
import {StatusBar} from 'ionic-native';
import {HomePage} from './pages/home/home';
declare var require: any;
var pouch = require('pouchdb');
var pouchFind = require('pouchdb-find');
@Component({
    template: '<ion-nav [root]="rootPage"></ion-nav>'
})
export class MyApp {
    rootPage: any = HomePage;
    db: any;
    value: any;
    constructor(platform: Platform) {
        platform.ready().then(() => {
            StatusBar.styleDefault();
        });
        pouch.plugin(pouchFind);
        this.db = new pouch('friendsdb');
        let docs = [
            {
                '_id': '1',
                'number': 10,
                'values': '1, 2, 3',
                'loto': 'fooloto'
            },
            {
                '_id': '2',
                'number': 12,
                'values': '4, 7, 9',
                'loto': 'barloto'
            },
            {
                '_id': '3',
                'number': 13,
                'values': '9, 4, 5',
                'loto': 'fooloto'
            }
        ];
        this.db.bulkDocs(docs).then(function (result) {
            console.log(result);
        }).catch(function (err) {
            console.log(err);
        });
    }
}
ionicBootstrap(MyApp);

解决方法:

您可以使用map / reduce函数of the db.query() method from PouchDB来获取文档的平均值,总和,最大值或任何其他类型的聚合.

我创建了一个demo JSBin fiddle with a running example.我将函数的解释直接添加到代码(下面)作为注释,因为我认为它更简单.

var db = new PouchDB('friendsdb');
var docs = [
      {'_id': '1', 'number': 10, 'values': '1, 2, 3', 'loto': 'fooloto'},
      {'_id': '2', 'number': 12, 'values': '4, 7, 9', 'loto': 'barloto'},
      {'_id': '3', 'number': 13, 'values': '9, 4, 5', 'loto': 'fooloto'}
];

db.bulkDocs(docs).then(function(result) {
  querySum();
  queryLargest();
  querySmallest();
  queryAverage();
}).catch(function(err) {
  console.log(err);
});

function querySum() {
  function map(doc) {
    // the function emit(key, value) takes two arguments
    // the key (first) arguments will be sent as an array to the reduce() function as KEYS
    // the value (second) arguments will be sent as an array to the reduce() function as VALUES
    emit(doc._id, doc.number);
  }
  function reduce(keys, values, rereduce) {
    // keys:
    //   here the keys arg will be an array containing everything that was emitted as key in the map function...
    //   ...plus the ID of each doc (that is included automatically by PouchDB/CouchDB).
    //   So each element of the keys array will be an array of [keySentToTheEmitFunction, _idOfTheDoc]
    //
    // values
    //   will be an array of the values emitted as value
    console.info('keys ', JSON.stringify(keys));
    console.info('values ', JSON.stringify(values));
    // check for more info: http://couchdb.readthedocs.io/en/latest/couchapp/views/intro.html


    // So, since we want the sum, we can just sum all items of the values array
    // (there are several ways to sum an array, I'm just using vanilla for to keep it simple)
    var i = 0, totalSum = 0;
    for(; i < values.length; i++){
        totalSum += values[i];
    }
    return totalSum;
  }
  db.query({map: map, reduce: reduce}, function(err, response) {
    console.log('sum is ' + response.rows[0].value);
  });
}

function queryLargest() {
  function map(doc) {
    emit(doc._id, doc.number);
  }
  function reduce(keys, values, rereduce) {
    // everything same as before (see querySum() above)
    // so, this time we want the larger element of the values array

    // https://stackoverflow.com/a/1379560/1850609
    return Math.max.apply(Math, values);
  }
  db.query({map: map, reduce: reduce}, function(err, response) {
    console.log('largest is ' + response.rows[0].value);
  });
}

function querySmallest() {
  function map(doc) {
    emit(doc._id, doc.number);
  }
  function reduce(keys, values, rereduce) {
    // all the same... now the looking for the min
    return Math.min.apply(Math, values);
  }
  db.query({map: map, reduce: reduce}, function(err, response) {
    console.log('smallest is ' + response.rows[0].value);
  });
}

function queryAverage() {
  function map(doc) {
    emit(doc._id, doc.number);
  }
  function reduce(keys, values, rereduce) {
    // now simply calculating the average
    var i = 0, totalSum = 0;
    for(; i < values.length; i++){
        totalSum += values[i];
    }
    return totalSum/values.length;
  }
  db.query({map: map, reduce: reduce}, function(err, response) {
    console.log('average is ' + response.rows[0].value);
  });
}

注意：这只是一种方法.还有其他几种可能性(不使用ID作为键,使用组和不同的reduce函数,使用内置的reduce函数,例如_sum,…),我只是认为这是一般说来的更简单的替代方法.

标签：indexeddb,pouchdb,javascript,nosql,database
来源： https://codeday.me/bug/20191008/1871999.html