Shulou(Shulou.com)06/01 Report--

The data in MongoDB is stored in a "library"-"collection"-"document"-"field" structure. This structure is very similar to the "library", "table", "row" and "column" structure of the traditional relational database. However, MongoDB does not need to define the table structure in advance, the fields of data can be changed arbitrarily, and the concurrent writing speed is much faster than that of traditional relational databases.

MongoDB and Redis have important applications in many fields. For example:

In crawler development, MongoDB is mainly used to write data, and Red i s is mainly used to cache URL.

In data analysis, MongoDB aggregation operations are used more frequently.

In the back-end development, the functions of adding, deleting, modifying and querying MongoDB are mainly used, and Red is is mainly used to do cache.

In game development, Redis can be used to do ranking functions.

Data engineer, data scientist, data mining engineer

Readers of this group can use MongoDB to save data, and use the aggregate query function of MongoDB to do some basic query and cleaning operations on the data, so as to output data in a more standardized format for further analysis.

Reptile engineer

MongoDB is especially suitable for writing large quantities, high concurrency and irregular data, and Redis is especially suitable as a connection hub for distributed crawlers. After learning MongoDB and Redis, crawler engineers can greatly improve the development efficiency and operation efficiency of crawlers.

Json strings must be in double quotes, but mongodb is not mandatory. It is recommended to use double quotes in accordance with the standard json format as far as possible to prevent unnecessary problems.

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