59: Chapter 5: Develop admin management services: 12: MongoDB usage scenarios; (non-core data, non-core data with a relatively large amount of data, small private files such as face photos;)

Description:

(1)This blog mainly introduces the usage scenarios of MongoDB;

(1)We already know that, where the administrator is set, the administrator's face photo is stored in MongoDB;

(2)IP blacklist, we will do it later;

(3)Links: We will use MongoDB to store;

(3. Insert) Let’s repeat the usage scenario of MongoDB:

    ● GridFS, small file storage: Use GridFS to store some private data;

    ● Historical data snapshot: For example, in the e-commerce system, the user purchased a product on August 1 (but, wait until August 5, the price of the product may change);Then when the user places an order to buy, the data of the product corresponding to the order is the snapshot data;;;;These data can be stored in databases such as MySQL, but because of the large amount of data, we canStore it in MongoDB;

    ● User browsing records: For example, users' browsing records in the e-commerce system; the amount of data is very high. If this data exists in databases such as MySQL, the database will be under pressureIt will be very large; we can store these historical data in MongoDB;

    ● Customer service chat records: The chat data is neither the core business nor the core data; therefore, this piece of content can also be separated out and placed in MongoDB;

    ● That is, MongoDB can store "non-core data", "privacy data", "small file data", and "non-core data with a large amount of data"; since it stores all non-core data, even if MongoDB goes downIt will not affect our core business; in addition, MongoDB can help the database to relieve the pressure of data storage;

    ● At the same time, the above types of data are not recommended to be placed in redis; because redis data will be stored in memory, if these data are stored in memory using redis, it will be a great luxury andWaste; that is, redis generally provides a caching mechanism for some "data that needs to be read frequently"; MongoDB generally allocates the storage pressure of large data volumes (non-core business data) for the database;

    ● So, for the data storage query and other operations of friendship links here, we will do it based on MongoDB;