Implementing Distributed Transactions in Hazelcast
Last updated August 17, 2024
Hazelcast provides a powerful mechanism for implementing distributed transactions, enabling you to execute multiple operations across multiple nodes in a consistent and reliable manner. This guide explores the capabilities and steps involved in implementing distributed transactions with Hazelcast, ensuring data integrity and atomicity even in distributed environments.
Hazelcast Distributed Transactions
- Atomicity: Distributed transactions in Hazelcast guarantee that all operations within a transaction succeed or fail together. This ensures the consistency of data across the cluster.
- Isolation: Operations within a distributed transaction are isolated from other concurrent operations, preventing conflicts and ensuring the integrity of your data.
- Durability: Transaction results are durably stored within the Hazelcast cluster. This means that even if a node fails or the system restarts, the transaction's effects will be preserved.
- Support for Various Data Structures: Distributed transactions can be used with various Hazelcast data structures, including Maps, Lists, Sets, and Queues, allowing you to perform complex operations involving multiple data points.
Steps for Implementing Distributed Transactions
1. **Start a Transaction:** Begin a new distributed transaction using the `HazelcastInstance.newTransaction()` method.
2. **Access Data Structures:** Within the transaction, use the `getTransactionManager()` to access data structures like Maps, Lists, Sets, and Queues.
3. **Perform Operations:** Execute multiple operations on various data structures as needed. Ensure that all operations within the transaction belong to the same data partition.
4. **Commit or Rollback:** After performing operations, commit the transaction with `transaction.commit()` to make changes permanent or rollback the transaction with `transaction.rollback()` to discard changes.