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distributed-transactions.md 1.4 KiB

add docs to master (#284) * update version to 2.4.0 * Add version options to config file. * update resource * add message version support for dashboard * add message version support for dashboard * Support using version to isolate messages. #220 * update mongo unit tests * update unit tests * update unit tests * Set default versions for consumer groups * solve the problem of issue#181 (#237) * Issue#235 (#238) * solve the problem of issue#181 * solve the problem of issue#235 * refactor * Fix the message persistence bug. #240 * using new CamelCaseNamingStrategy * update packages to .net core 2.2 * update test framework to netcoreapp2.2 * Update .travis.yml * update TargetFramework * Exclude build samples project * update version to 2.4.1 * add samples project to sln for build * update version to 2.4.2 * Fixed PostgreSql version isolation feature bug. (#256) * Fixed spelling errors * modify cap publish Message to rabbitmq slow (#261) * Startup the CAP with the BackgroundService. #265 * update samples * Fixed SQL query bug. #266 * update travis ci config * update travis ci config * adjust dashboard table column width * adjust the consumer execution time to milliseconds * update ignore * add mkdocs.yml * update version to 2.4.3 * add about.md docs * add index.md docs * add docs * add docs * add docs * add docs * add docs * add docs * add docs * add docs * add docs * add docs * add docs * Fix resource files * add docs * add docs * add docs * Create readme.md * add markdown extensions supports * update about.md * add CNAME fiel * add img * update docs * Update README.zh-cn.md
5 years ago
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  1. For the processing of distributed transactions, this CAP library matches the "Asynchronous recovery events" scenario.
  2. ### Asynchronous recovery events
  3. As known as the name "native message table", this is a classic solution, originally from EBay, and referenced links about it are at the end of this section. This is also one of the most popular solutions in the business development.
  4. Compared to TCC or 2pc/3pc, this solution is the simplest one for distributed transactions, and is decentralized. In TCC or 2PC solutions, the common transaction handlers synchronize the state among different services with a transaction coordinator, but it's not much required in this CAP solution. In addition, the deeper references of other conditions these services have, the more management complexity and stability risk may be increased in 2PC/TCC. Imagine that if we have 9 services committed successfully of all 10 whitch relied heavily, though the last one execute fail, should we roll back transactions of those 9 service? In fact, the cost is still very high.
  5. However, it's not mean that 2PC or TCC are at a disadvantage, each has its own suitability and matched scenarios, here won't introduce more.
  6. > cn: [base-an-acid-alternative](http://www.cnblogs.com/savorboard/p/base-an-acid-alternative.html)
  7. >
  8. > en: [Base: An Acid Alternative](http://queue.acm.org/detail.cfm?id=1394128)