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MySql and distributed transactions: how to deal with the consistency of distributed data

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Release: 2023-06-15 21:20:37
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With the development of Internet technology, distributed application systems have become a challenge that programmers must face in their daily work. When dealing with distributed data, ensuring consistency is one of our biggest concerns. At this time, MySql is a favored solution because it can provide most of the functions required by distributed applications. This article will introduce how to use MySql to solve data consistency problems in a distributed environment.

  1. What is a distributed transaction

Distributed transaction means that the operation of a transaction involves multiple independent computers or servers, and these computers or servers communicate through network to communicate. In this case, if one transaction fails, all operations will be rolled back. This is called a "distributed transaction".

  1. MySql support

MySql provides two ways to support distributed transactions: XA and 2PC. XA is a standard distributed transaction processing protocol, while 2PC is a more advanced distributed transaction processing technology.

  1. XA

XA is a basic protocol for distributed transactions. Under the XA protocol, each service involved needs to support the XA interface. This interface defines some operations that all services must support. For MySql, the workflow of the XA protocol is roughly as follows:

  1. First, the service must first perform an XA preparation operation to tell MySql that it wants to perform a distributed transaction.
  2. If this preparation operation is successfully executed by all services, MySql will consider that the entire transaction is ready, and will send an XA confirmation request to each service, requiring the service to confirm the transaction.
  3. If all services reply with confirmation, MySql will eventually send an XA commit request to tell each service that it is ready to perform the commit operation.
  4. If there is a problem with one of the services and cannot reply to the confirmation, then MySql will send an XA rollback request, telling all services that they must roll back to the state before the transaction started.

In this process, MySql can ensure that all services follow the same rules when executing transactions, thus ensuring data consistency and integrity.

  1. 2PC

2PC is a more complex and advanced distributed transaction processing technology. 2PC essentially makes more optimizations and improvements based on the XA protocol.

Under the 2PC protocol, all services involved must first establish a connection with the transaction manager. After that, the transaction manager will send a "ready" message to all services to tell them that they are ready. To perform transaction operations. After receiving this message, the service will send an "agree" or "disagree" response to inform the transaction manager whether they can perform the transaction operation.

If all services respond with "agree", then the transaction manager will send a "commit" message to these services to tell them to perform the commit operation. If a service responds with "disagree", the transaction manager will send a "rollback" message, requiring all services to roll back to the state before the transaction started.

In short, the 2PC protocol is stricter and more complex than the XA protocol, but it can better ensure data consistency and integrity.

  1. Conclusion

In a distributed environment, MySql is a very good solution because it provides support for XA and 2PC protocols, which can ensure data consistency sex and integrity. For specific application scenarios, you can choose one of the two protocols, XA and 2PC, according to your own situation. Among them, the XA protocol is relatively simple and has a lower threshold for use, so it can be our first choice; while the 2PC protocol is more complex and suitable for more complex application scenarios and requires more advanced application support. In short, the distributed transaction support provided by MySql greatly facilitates our work when processing complex data.

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