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Distributed transaction

Overview

In the microservice architecture, when we need cross-service to ensure data consistency, the original database service cannot be used to place cross-library and multiple service operations in a single transaction.There are many applications like this, we can list many：

  • Order system：requires a guarantee that both orders and deductions are created or rolled back at the same time
  • Cross-line transfer scenario：data is not in a database, but either the balance deduction and the balance increase are successful or failed at the same time.
  • Redeem Scene：requires both credit deductions and interest increases to be successful, or failed at the same time.
  • Ticket ticket scenario：requires a few tickets at the same time as a third party system, either successfully or canceled all

Faced with scenarios where these local services cannot be solved, we need distributive services solutions that ensure consistency between cross-service and database updates.

Solution

go-zero joined dtm to launch a very simple programme of seamless access to dtm in go-zero, the first microservice framework in go ecology to provide distributive services.The solution has the following features：

  • dtm services can be configured to register directly to go-zero
  • go-zero can access dtm servers in built-in target format
  • dtm is able to recognize go-zero target format and access the service in go-zero dynamically

For more information about access, see dtm document：go-zero support

More Use Cases

dtm can solve not only the distribution service scenario above but also more data consistency scenarios, including：

  • Database compatibility with cache： dtm second phase messages that guarantee database updates, and cache update/delete operations
  • The second kill system： dtm is capable of securing the second kill scenario, creating orders that are exactly the same as the stock deduction, without subsequent manual calibration
  • Multiple storage combinations： dtm support multiple storages, such as databases, Redis, Mongo and others, which can be grouped into a global issue to ensure data consistency

For more dtm abilities and descriptions, seedtm

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