AMP for E-Commerce Part 2: Creating Backend with Alibaba Cloud ApsaraDB for MongoDB

本文涉及的产品
云数据库 RDS MySQL Serverless,0.5-2RCU 50GB
云数据库 MongoDB,通用型 2核4GB
简介: In this three-part tutorial, we will explore how to create a fully functional e-commerce mobile application using AMP.

By Sai Sarath Chandra, Alibaba Cloud Tech Share Author and Alibaba Cloud MVP

This blog entry is a continuation of the articleAMP for E-Commerce Part 1. Before we start exploring Alibaba Cloud ApsaraDB for MongoDB, we will discuss why we chose this as the backend for the proof of concept (POC).

Relational vs. Non-Relational Databases

In general, there are two types of databases:

  • Relational databases
  • Non-relational databases

In relational databases, we need to know exactly what data we are going to manage. We need to model the database and then create the query corresponding to the data model and fetch accordingly. A typical example of a very popular relational databases is MySQL. MySQL has become an inexpensive option for so many organizations. Although relational databases are powerful, they do have certain limitations. Relational databases are unsuitable for processing high data volumes and is not good at addressing the needs of the changing data.

In the digital Era we see a fluid data where we don't know the exact representation of the data. The data model keeps changing for a particular entity, and that's how the NoSQL data model came into existence. One of such popular NoSQL databases MongoDB. NoSQL is quite a hot topic in the industry now. It is mainly suited for the small and medium level organizations where they want to start up their business but are not clear about what the data might be. NoSQL doesn't have any predefined schema. As a developer, you do not need to worry about having the expertise of a DBA to maintain a well performing backend if you opted for NoSQL.

Benefits of MongoDB

Now we will talk more about the MongoDB and the benefits of using the MongoDB over relational databases like MySQL.

Mongo DB Is Schemaless

In relational databases, we define the table schema before any other data operation. Whenever we insert some data into the table we need to make sure we adhere to the schema of the table. If you think there is a change in the model of the data then we need to change the entire table schema or we need to create a new table and normalize it. But in MongoDB the data is stored in JSON like structures.

In relational databases we have table which consists of rows of data; in MongoDB we have collection which consists the data as documents. A typical document would be nothing more than a JSON like structure. The interesting part in MongoDB is that multiple documents can consist multiple field with multiple data types. Initially, it may seem a little confusing to use MongoDB, but after getting used to it, you will enjoy the flexibility it offers.

MongoDB Is Reliable

We can all agree that relational databases available in the market are backed by years of research and proven industry adoption. However, we should also notice that the MongoDB is also adopted by big companies like T-mobile, Sony, Surveymonkey, Foursquare, Invision, and many others.

MongoDB Is Easy to Scale (Sharding and Replication)

Sharding refers to dividing your dataset up over multiple MongoDB servers. You pick a field to act as a division point in your dataset, referred to as a shard keys. Based on this shard key, data is distributed across multiple servers. Sharding allows for horizontal scaling, which is difficult to implement in MySQL.

There are two scenarios that might ultimately motivate you to shard MongoDB: your dataset has become truly massive and indexes cannot fit in memory any longer, or your application is write-heavy and you need to distribute writes over multiple servers

MongoDB supports built-in replication sharding and auto-elections. Using auto-elections, you can set up a secondary database to automatically take over if the primary database fails. MongoDB uses replica sets to create multiple copies of the data. Each member of the replica set can have the role of primary or secondary at any point in the process. Reads and writes are done on the primary replica by default and then replicated to the secondary replicas.

Replication and sharding makes mongo DB very easy to scale.

Deep Query-Ability, Security, and Developer Friendly

MongoDB supports dynamic queries on documents using a document-based query language that's nearly as powerful as SQL. From the security perspective, MongoDB is more secure because traditional databases can suffer with the SQL injection attacks. For MongoDB, the likelihood of having injection attacks is much lower because of the variable data it stores in the name of its documents.

From the developer perspective, MongoDB is more developer friendly. It is well documented and well-written clients for most major languages. The main advantage with the mongo DB is that the JavaScript based query language that more suited to web developers. It makes prototyping applications much faster, shortening the time for releases and builds

Alibaba Cloud ApsaraDB for MongoDB

Alibaba Cloud ApsaraDB for MongoDB is a secure, reliable, and elastically scalable cloud database service. It currently supports the ReplicaSet and Sharding architectures and can be quickly deployed in just a few steps. The benefits of using Alibaba Cloud ApsaraDB for MongoDB include:

Reliable Storage

  • Built based on Alibaba Cloud Apsara distributed file system and SSD high-performance storage.
  • Three-node ReplicaSet architecture, ensuring redundant data storage.
  • Periodic automatic backup, ensuring reliable data storage.

Elastic Scaling

  • Supports both the ReplicaSet and Sharding architectures.
  • Nodes of the ReplicaSet and Sharding can be upgraded or downgraded as required to scale resources.
  • The number of mongoses and shards in Sharding instances can be scaled out at any time.

Professional Services

  • Senior Alibaba Cloud technical team members available to provide professional services to boost security and resource elasticity.
  • Optimized kernel for performance, security, and other dimensions managed by the source code team.

Cost-effective

  • Cost-effective with no upfront cost or long-term commitment.
  • Offers flexible payment options including Monthly Subscription and Pay-As-You-Go.

Details of ApsaraDB for MongoDB

Architecture

Alibaba Cloud ApsaraDB for MongoDB supports both ReplicaSet Architecture & Sharding Architecture. There will be minimum of three nodes operating in the replica set architecture by default, where one will be primary, another will be secondary and other will be the hidden. If the primary files the system will choose the secondary, for some reason if the secondary is not available then the system switches to the hidden database to make sure the service is available.

The fractional service (shard) and configuration service (configserver) adopt the stable and reliable three-node ReplicaSet architecture.

Security

Alibaba Cloud is well known for its security measures across all its products. ApsaraDB for MongoDB provides built-in backup mechanism and recovery which helps in preventing Data loss and minimising the cost of in proper operation it is also equipped with and Anti-DDoS and supports IP whitelist configuration which supports a maximum of 1000 whitelist rules and performs risk control from the access source.

Management

ApsaraDB for MongoDB also comes with visualized operations and management platform. You can monitor the instance information, such as youth CPU utilization connections, and obtain other information visually. The visualized IT management platform simplifies high-frequency and high-risk operations, such as instance restart. ApsaraDB for MongoDB makes data recovery into a single click operation. It also proactively performs subgrade for database kernel version management, and quickly repairs the defects, freeing you from daily version management.

E-Commerce Store Backend

Now we will create the actual setup for our e-commerce store backend and little bit of networking. We create an architecture something like this going further. Please find the diagram for reference

1

This is the recommended architecture from Alibaba Cloud for accessing the MongoDB instances.

First, we need to create an Alibaba Cloud ECS instance to reduce the complexity of going through the multiple Linux commands. We will create the Windows VM and access MongoDB from the ECS instance.

If you are connecting from the Internet then you need to use the following credentials

IP Address/Host Name: 47.74.237.40 or
Username : Administrator
Password :

2

If you have connected using the Remote Desktop protocol then you should be able to see the Windows connected.

Creating an ApsaraDB for MongoDB Service

Now we will create backend database of the ApsaraDB for MongoDB Service in Alibaba Cloud. On the console, navigate to Products > ApsaraDB for MongoDB.

You will be taken to this screen where I am creating the instance in the same location of the ECS Instance (Singapore). Click on create Instance. For this demo we are creating a "Replica Set Instance"

3

Once you click on the Create Instance Button You will be taken to the below screen. Don't panic if you didn't see the below screen. You will be by default taken to the Subscription (Replica Set). You need to change to the Pay-As-You-Go (Replica Set) model where you can see all the default values are populated. You need to select the VPC model of connection

4

You can see the VPCID and the VSwitchID are populated automatically along with the default configuration. If your configuration is missing the VPCID/VSwitch ID then your ECS Instance or the MongoDB instance is not at the same region. Provide a password and remember it future use for logging into database

5

Once you have done all the steps correctly you should have an active MongoDB service on Alibaba Cloud. You will see the following instance running under the "Singapore" region.

6

Once you click on the instance ID then you will be navigated to this screen where you will see the Intranet & Public IP connection protocols. Before accessing, we need to whitelist the IP address of the ECS instance by clicking at the "Set the whitelist and the address will be displayed".

7

Once you click, you will be navigated here. You have to click on the "Import ECS intranet IP" this will automatically detect the Intranet IP address of the ECS Instance

8

Then there you go the connection details for the Intranet will be displayed we will use this details for the Intranet connection. We will be using the connection String URI to connect. We will using the same in the next tutorial

9

Next Steps

We will create a simple Express based node API to query data for our database and serve the E-Commerce App built by leveraging the open source templates provided by the AMP Site. The whole integration will happen in the next tutorial, so please be sure to check it out.

相关实践学习
MongoDB数据库入门
MongoDB数据库入门实验。
快速掌握 MongoDB 数据库
本课程主要讲解MongoDB数据库的基本知识,包括MongoDB数据库的安装、配置、服务的启动、数据的CRUD操作函数使用、MongoDB索引的使用(唯一索引、地理索引、过期索引、全文索引等)、MapReduce操作实现、用户管理、Java对MongoDB的操作支持(基于2.x驱动与3.x驱动的完全讲解)。 通过学习此课程,读者将具备MongoDB数据库的开发能力,并且能够使用MongoDB进行项目开发。   相关的阿里云产品:云数据库 MongoDB版 云数据库MongoDB版支持ReplicaSet和Sharding两种部署架构,具备安全审计,时间点备份等多项企业能力。在互联网、物联网、游戏、金融等领域被广泛采用。 云数据库MongoDB版(ApsaraDB for MongoDB)完全兼容MongoDB协议,基于飞天分布式系统和高可靠存储引擎,提供多节点高可用架构、弹性扩容、容灾、备份回滚、性能优化等解决方案。 产品详情: https://www.aliyun.com/product/mongodb
目录
相关文章
|
JSON 弹性计算 NoSQL
AMP for E-Commerce Part 3: Integrating the Entire Application with Alibaba Cloud ApsaraDB for MongoDB
In this three-part tutorial, we will explore how to create a fully functional e-commerce mobile application using AMP.
1772 0
AMP for E-Commerce Part 3: Integrating the Entire Application with Alibaba Cloud ApsaraDB for MongoDB
|
3月前
|
JSON NoSQL 小程序
Mongodb数据库的导出和导入总结
Mongodb数据库的导出和导入总结
189 0
|
3月前
|
存储 NoSQL 大数据
mongodb数据库的优缺点
MongoDB 是一个流行的 NoSQL 数据库,主要用于大规模数据存储和处理。下面是 MongoDB 数据库的一些优点和缺点: ### 优点: 1. **灵活的模式设计**:MongoDB 是一个文档数据库,支持动态的模式设计,允许您存储不同结构和格式的数据。 2. **水平扩展**:MongoDB 支持水平扩展,可以轻松地在多个节点和服务器之间分布数据,以满足高并发和大规模数据处理的需求。 3. **丰富的查询功能**:MongoDB 提供了强大的查询语言和索引支持,允许您在大数据集上进行高效的数据检索和分析。 4. **高性能**:通过使用内存映射(mmap)和其他优化技术,M
306 0
|
4月前
|
NoSQL JavaScript 前端开发
如何使用 Node.js 连接和操作 MongoDB 数据库?
如何使用 Node.js 连接和操作 MongoDB 数据库?
221 2
|
1月前
|
NoSQL 网络协议 MongoDB
Windows公网远程连接MongoDB数据库【无公网IP】
Windows公网远程连接MongoDB数据库【无公网IP】
|
1月前
|
存储 NoSQL 关系型数据库
一篇文章带你搞懂非关系型数据库MongoDB
一篇文章带你搞懂非关系型数据库MongoDB
55 0
|
1月前
|
人工智能 NoSQL MongoDB
|
2月前
|
SQL NoSQL Java
文档型数据库MongoDB
文档型数据库MongoDB
|
2月前
|
JSON NoSQL MongoDB
MongoDB详解(五)——MongoDB数据库简单使用
MongoDB详解(五)——MongoDB数据库简单使用
105 1
|
2月前
|
存储 NoSQL Linux
MongoDB详解(四)——MongoDB数据库安装
MongoDB详解(四)——MongoDB数据库安装
67 2