Home Database Redis Redis learning introduces current NoSQL application scenarios

Redis learning introduces current NoSQL application scenarios

Feb 04, 2021 pm 05:50 PM

Redis learning introduces current NoSQL application scenarios

Recommended (free): redis

SQL and NoSQL twin swords Hebi

How to store product information on Alibaba Chinese website

Look at the homepage of Alibaba Chinese website, taking women’s clothing/women’s bags as an example

Architecture development history:

1. Evolution process

Redis learning introduces current NoSQL application scenarios

2. 5th generation

Redis learning introduces current NoSQL application scenarios

3. Mission of the 5th generation architecture

Redis learning introduces current NoSQL application scenarios
Multiple data sources related to us Type of storage problem
Redis learning introduces current NoSQL application scenarios
Take a look at the homepage of Alibaba’s Chinese website, taking women’s clothing/baby girls as an example
1. Basic product information (number, name, etc., unchanged, stable data )
Stable data such as name, price, date of manufacture, and manufacturer
Relational database, Mysql/oracle. Currently, Taobao is de-Oizing (that is, removing Oracle). Note that Mysql is used internally on Taobao. It was modified by the great guy inside.
Why go to IOE
Most of them use Mysql.

2. Product description, details, evaluation information (multi-text type)
Multi-text information description type, IO read and write performance deteriorates, document database MongoDB
3. Pictures of the product
Product image display class
Distributed file systems: Taobao's own TFS, Google's GFS, Hadoop's HDFS
4. Product keywords
Taobao's own
ISearch
5. Product Band hot and high-frequency information (such as Valentine's Day chocolate)
Prepare in advance
In-memory database
Tair, Redis, Memcache
6. Product transactions, price calculations, and point accumulation
External system, external 3rd party payment interface
Alipay

Storage issues with multiple data sources and multiple data types.

Summary of the difficulties and solutions for large-scale Internet applications (big data, high concurrency, diverse data types)

Difficulties
Diversity of data types
Data Source diversity and change reconstruction
Data source transformation without large-scale reconstruction of the data service platform
Solution
EAI
UDSL Unified Data Platform Service Layer
What is

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