$multiply - Amazon DocumentDB

本文為英文版的機器翻譯版本,如內容有任何歧義或不一致之處,概以英文版為準。

$multiply

Amazon DocumentDB 中的$multiply運算子用於將兩個或多個欄位或表達式的值相乘。此運算子對於對文件中的數值欄位執行算術操作特別有用。它可以用於彙總管道的各個階段,例如 $project$addFields,以建立新的欄位或修改現有的欄位。

參數

  • expression1:要乘以的第一個數值表達式。

  • expression2:要乘以的第二個數值表達式。

  • [expression3, ...]:(選用) 要乘以的其他數值表達式。

範例 (MongoDB Shell)

下列範例示範使用 $multiply來計算乘bonus_milesbase_miles,以及bonus_rate針對使用信用卡進行旅程的客戶。

文件範例

db.miles.insertMany([ { "_id": 1, "customer_name": "Arnav Desai", "member_since": ISODate("1997-03-01T00:00:00Z"), "base_miles": 2500, "bonus_rate": 1.8, "credit_card": true, "trip_cost": 250 }, { "_id": 2, "customer_name": "Jorge Souza", "member_since": ISODate("2004-01-10T00:00:00Z"), "base_miles": 1890, "bonus_rate": 1.4, "credit_card": true, "trip_cost": 189 }, { "_id": 3, "customer_name": "Saanvi Sarkar", "member_since": ISODate("1999-11-22T00:00:00Z"), "base_miles": 3250, "bonus_rate": 1.8, "credit_card": false, "trip_cost": 325 }, { "_id": 4, "customer_name": "Paulo Santos", "member_since": ISODate("2021-06-19T00:00:00Z"), "base_miles": 2980, "bonus_rate": 1.2, "credit_card": true, "trip_cost": 298 }, { "_id": 5, "customer_name": "Wang Xiulan", "member_since": ISODate("1995-12-04T00:00:00Z"), "base_miles": 1350, "bonus_rate": 1.9, "credit_card": false, "trip_cost": 135 } ]);

查詢範例

db.miles.aggregate([ { $match: { credit_card: true } }, { $project: { customer_name: 1, base_miles: 1, bonus_rate:1, credit_card: 1, total_miles: { $multiply: ["$base_miles", "$bonus_rate"] } } } ]);

輸出

[ { _id: 1, customer_name: 'Arnav Desai', base_miles: 12500, bonus_rate: 1.8, credit_card: true, total_miles: 22500 }, { _id: 3, customer_name: 'Saanvi Sarkar',base_miles: 15200, bonus_rate: 1.8, credit_card: true, total_miles: 27360 }, { _id: 4, customer_name: 'Paulo Santos', base_miles: 3400, bonus_rate: 1.1, credit_card: true, total_miles: 3740 } ]

程式碼範例

若要檢視使用 $multiply命令的程式碼範例,請選擇您要使用的語言標籤:

Node.js
const { MongoClient } = require('mongodb'); async function multiplyBonusMiles() { const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); const db = client.db('test'); const collection = db.collection('miles'); const result = await collection.aggregate([ { $match: { credit_card: true } }, { $project: { customer_name: 1, base_miles: 1, bonus_rate: 1, credit_card: 1, total_miles: { $multiply: ["$base_miles", "$bonus_rate"] } } } ]).toArray(); console.log(result); await client.close(); } multiplyBonusMiles();
Python
from pymongo import MongoClient def multiply_bonus_miles(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client['test'] collection = db['miles'] result = list(collection.aggregate([ {'$match': {'credit_card': True}}, { '$project': { 'customer_name': 1, 'base_miles': 1, 'bonus_rate': 1, 'credit_card': 1, 'total_miles': { '$multiply': ['$base_miles', '$bonus_rate'] } } } ])) print(result) client.close() multiply_bonus_miles()