TRANSACTION WITH REPLICATED DATA
Handling transactions with replicated data in a distributed system involves ensuring consistency, availability, and fault tolerance. Achieving these goals often requires careful design and implementation of replication and transaction management mechanisms.
Methods to handle transaction with Replicated Data :
- Replication: Duplicating data across multiple nodes to ensure availability and fault tolerance.
- Consistency Models:
- Strong Consistency: All replicas reflect the same data at any given time.
- Eventual Consistency: All replicas will eventually converge to the same state, but there may be temporary inconsistencies.
- Distributed Transactions: Transactions that span multiple nodes, requiring coordination to ensure atomicity, consistency, isolation, and durability (ACID properties).
- Consensus Algorithms: Protocols like Paxos or Raft to achieve agreement among distributed nodes.
- Two-Phase Commit (2PC): A protocol to ensure all nodes agree to commit or abort a transaction.