Contents
How do you manage transactions in multiple microservices?
Ways to handle transactions in Microservices
- Avoiding transactions across Microservices.
- Two-Phase Commit Protocol.
- XA Standard.
- REST-AT Standard Draft.
- Eventual Consistency and Compensation.
How do you handle transaction failure in microservices?
In the prepare phase, all microservices involved prepare for commit and notify the coordinator that they are ready to complete the transaction. Then in the commit phase, either a commit or a rollback command is issued by the transaction coordinator to all microservices.
How do you manage distributed transactions in microservices?
Maintain data consistency across multiple microservices without tight coupling. Perform better compared to 2PC. Offer no single point of failure. Keep the overall state of the transaction eventually consistent.
How would you deal with the consistency of data between several microservices?
The most well-known way of handling consistency concerns in multiple microservices is the Saga Pattern. You may treat Sagas as application-level distributed coordination of multiple transactions. Depending on the use-case and requirements, you optimize your own Saga implementation.
How do transactions maintain consistency?
How Consistency is Maintained During Transactions. Database changes made by a transaction are invisible to other users until the transaction is committed. In a multi-user environment, where more than one transaction is open concurrently, this behavior maintains database consistency.
How do I roll back transactions in Microservices?
How to rollback MicroServices
- Step-1: M1 making a call to M2 to update some user data in MySQL and it updated successfully then finally it got success response from M2.
- Step-2: M1 making a call to M3 to update some data in Cassandra and it updated successfully then finally it got success response from M3.
How is transaction handling handled in microservice architecture?
Join the DZone community and get the full member experience. It’s challenging to handle the complexities that come with a distributed system when moving away from a monolith to microservice architecture (MSA). Transaction handling is at the front and center of this issue.
How to handle duplicated data in a microservice?
Every microservice will publish CRUD changes to event bus, interested micro-service consume those events & update local cache accordingly. Problem with REST call is, in some situation when dependent service is down we can not query main microservice, which could become bottleneck sometime.
When does a microservice become a distributed transaction?
What is a distributed transaction? When a microservice architecture decomposes a monolithic system into self-encapsulated services, it can break transactions. This means a local transaction in the monolithic system is now distributed into multiple services that will be called in a sequence.
Why are two phase commits slow in a microservice?
Everything isn’t perfect, two phase commits are quite slow compared to the time for operation of a single microservice. They are highly dependent on the transaction coordinator, which can really slow down the system during high load. The other main drawback is the locking of database rows.