Data processing method and apparatus

Abstract

The invention provides a data processing method and apparatus. The method comprises the steps of receiving a query operation request, wherein the query operation request comprises query parameters, and the query parameters include a first attribute identifier and a first attribute value; sending the first query request to a memory database; receiving a first query response returned by the memory database, wherein the first query response comprises a corresponding first content identifier queried in a index list corresponding to the first attribute identifier according to the query parameters by the memory database; sending a second query request to a key value database, wherein the second query request comprises a first content identifier; receiving a second query response returned by thekey value database, wherein the second query response comprises first data contents corresponding to the first content identifier and found in a key value record by taking the first content identifieras a key value through the key value database; and sending the first data contents to a requester of the query operation request. The method combines the advantages of the memory database and the keyvalue database, and has the advantages of good performance and low cost.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a data processing method and device. Background technique [0002] A list refers to data stored in the form of a list. List data has a wide range of applications. Anything related to list display can be abstracted into a list. The specific meaning of the list varies according to different product scenarios. For example, the post list of Tieba; the news list of each category of news application software, the comment list under a piece of news; the user list and gift list in live broadcast software; the message list of instant messaging software, friend list, etc. [0003] Traditional lists are usually implemented using MySQL (relational database). MySQL records are stored on the disk, and a large amount of data needs to be read from the disk for each query. The read performance is limited by the performance of the disk. Take the post list as an example , the more posts in a fo...

AI Technical Summary

Problems solved by technology

[0003] Traditional lists are usually implemented using MySQL (relational database). MySQL records are stored on disk, and a large amount of data needs to be read from disk for each query. The read performance is limited by the performance of the disk. Taking the post list as an example, the more posts in a forum, the larger the data table will be, the more data needs to be loaded each time, and the read performance will also decrease. Worse as data grows

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