Implementation method and architecture of distributed system based on distributed embedded storage engine

A distributed system and storage engine technology, applied in the field of implementation methods and architectures of distributed systems, can solve problems such as difficult to achieve real-time persistence, data loss, single point, etc., to solve distributed transaction development problems, avoid IO overhead and data delay, the effect of solving poor work efficiency
CN114564461APending Publication Date: 2022-05-31在线途游(北京)科技有限公司 +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
在线途游(北京)科技有限公司
Publication Date
2022-05-31

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Abstract

The invention provides an implementation method and architecture of a distributed system based on a distributed embedded storage engine, and in the method, the distributed embedded storage engine is used as a basis, and priority service nodes are distributed for players. According to the method, the scheme that a stateful service architecture adopts a single node for certain service functions is overcome, the whole distributed system inherits the advantages of high concurrency and high availability under a traditional stateless service architecture, and meanwhile the problem of tedious distributed transaction development under the stateless service architecture is solved.
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Description

technical field

[0001] The present application relates to the technical field of distributed systems, and in particular to an implementation method and architecture of a distributed system based on a distributed embedded storage engine. Background technique

[0002] The business logic of the game usually has the characteristics of high frequency and strong coupling. If the stateless server architecture design of the traditional Internet is adopted, no matter whether it is a MySQL cluster, a TiDB distributed database, or a Redis cache database, it cannot be implemented at a low cost. Satisfy high-performance business processing; and mainstream cache databases do not support distributed transactions, and developers need to solve distributed transactional problems by themselves, which brings more development burden. If you use a stateful service architecture, although the performance is good, it is difficult to achieve real-time persistence. If the server crashes unexpectedly, ...

Claims

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