Two-Phase Commit Protocol (2PC) for Distributed Transactions
Two-Phase Commit Protocol (2PC) for Distributed Transactions
Description
The Two-Phase Commit Protocol (2PC) is a classic algorithm in distributed systems designed to ensure the atomicity of transactions across multiple nodes. It guarantees that all participating nodes either commit the transaction entirely or abort it entirely, thereby preventing data inconsistencies caused by partial commits. The protocol involves a Coordinator and multiple Participants, achieving collaboration through two phases: the "Preparation Phase" and the "Commit Phase".
Detailed Explanation
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Roles and Prerequisites
- Coordinator: A central node responsible for making the final decision to commit or abort the transaction and driving the protocol's flow.
- Participants: Sub-nodes that actually execute the transaction, responsible for local transaction operations and providing status feedback.
- Prerequisites: All nodes are assumed to be prone to failures but support log persistence (for state recovery via logs). The network may experience delays but is not malicious (no message tampering).
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Phase One: Preparation Phase
- Step 1: The Coordinator sends a "Prepare Request" to all Participants, including the transaction content.
- Step 2: Each Participant executes local transaction operations (e.g., writing logs, acquiring locks) but does NOT commit. If the execution is successful, the Participant replies with an "Agree" (Yes); if it fails (e.g., due to constraint violations), it replies with an "Abort" (No).
- Key Point: After replying "Yes", a Participant must guarantee that the local transaction can ultimately be committed (even if a crash occurs later), which is achieved by writing persistent logs.
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Phase Two: Commit Phase
- Scenario A: All Participants reply "Yes"
- The Coordinator sends a "Commit Request" to all Participants.
- Upon receipt, Participants formally commit the local transaction (e.g., release locks, write final data) and reply with a "Completion" (Ack).
- After receiving all Acks, the Coordinator marks the transaction as complete.
- Scenario B: Any Participant replies "No" or times out
- The Coordinator sends a "Rollback Request" (Abort) to all Participants.
- Upon receipt, Participants abort the transaction (undo operations, release locks) and reply with an Ack.
- After receiving all Acks, the Coordinator marks the transaction as aborted.
- Scenario A: All Participants reply "Yes"
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Fault Handling and Drawbacks
- Participant Crash:
- If it crashes during the preparation phase, upon recovery, it decides based on its logs: if "Yes" is recorded, it waits for the Coordinator's instruction; if not recorded, it may unilaterally abort.
- If it crashes during the commit phase, upon recovery, it decides based on logs: if Commit is recorded, it commits; if Abort is recorded, it rolls back; if nothing is recorded, it needs to query the Coordinator's status.
- Coordinator Crash:
- If it crashes before sending Prepare, the transaction is automatically aborted.
- If it crashes after the preparation phase, Participants may be blocked (waiting for instructions). This requires resolution through log-based election of a new coordinator or timeout mechanisms.
- Core Drawbacks:
- Synchronous Blocking: After replying "Yes", Participants must lock resources and wait for the Coordinator's instruction, during which the resources are inaccessible to other transactions.
- Single Point of Failure: Coordinator failure can cause the entire system to block.
- Risk of Data Inconsistency: If the Coordinator crashes after only some nodes have received the Commit instruction, some nodes may commit while others do not.
- Participant Crash:
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Practical Applications and Optimizations
- 2PC is a foundational protocol for distributed databases (e.g., MySQL Cluster) and middleware (e.g., JTA in Java EE), but it is often combined with timeout mechanisms and retry strategies to reduce blocking risks.
- Improved solutions like the Three-Phase Commit (3PC) protocol reduce blocking by introducing a "Pre-commit" phase, but they increase complexity and are less commonly used in practice.