BiteSizedChunks.comLearn one small thing at a time.

Course contentsShow

566What is a Distributed Transaction?
567The ACID Problem in Distributed Systems
568Two-Phase Commit (2PC) Overview
569The Coordinator Role in 2PC
570Phase 1: Prepare Phase
571Phase 2: Commit Phase
572Participant State Transitions
573The Blocking Problem in 2PC
574Recovery Protocols and Logs
5752PC Performance Characteristics
576When 2PC is Used in Practice
5772PC vs Single-Node Transactions
578Blocking Nature of Two-Phase Commit
579Performance Overhead of Distributed Transactions
580CAP Theorem Impact on Distributed Transactions
581The Coordinator as Single Point of Failure
582Transaction Isolation Across Systems
583Alternative: Best Effort with Eventual Consistency
584Alternative: Idempotent Operations
585Alternative: Saga Pattern Introduction
586Alternative: Event Sourcing for Consistency
587When Distributed Transactions Are Unavoidable
588The Saga Pattern: Motivation and Definition
589Saga Fundamentals: Local Transactions and Compensations
590Choreography-Based Sagas
591Orchestration-Based Sagas
592Choreography vs Orchestration Tradeoffs
593Compensating Transactions: Design Principles
594Saga Isolation and Anomalies
595Semantic Lock Pattern
596Forward Recovery vs Backward Recovery
597Saga State Management and Persistence
598Saga Frameworks and Real-World Adoption

566What is a Distributed Transaction?
567The ACID Problem in Distributed Systems
568Two-Phase Commit (2PC) Overview
569The Coordinator Role in 2PC
570Phase 1: Prepare Phase
571Phase 2: Commit Phase
572Participant State Transitions
573The Blocking Problem in 2PC
574Recovery Protocols and Logs
5752PC Performance Characteristics
576When 2PC is Used in Practice
5772PC vs Single-Node Transactions
578Blocking Nature of Two-Phase Commit
579Performance Overhead of Distributed Transactions
580CAP Theorem Impact on Distributed Transactions
581The Coordinator as Single Point of Failure
582Transaction Isolation Across Systems
583Alternative: Best Effort with Eventual Consistency
584Alternative: Idempotent Operations
585Alternative: Saga Pattern Introduction
586Alternative: Event Sourcing for Consistency
587When Distributed Transactions Are Unavoidable
588The Saga Pattern: Motivation and Definition
589Saga Fundamentals: Local Transactions and Compensations
590Choreography-Based Sagas
591Orchestration-Based Sagas
592Choreography vs Orchestration Tradeoffs
593Compensating Transactions: Design Principles
594Saga Isolation and Anomalies
595Semantic Lock Pattern
596Forward Recovery vs Backward Recovery
597Saga State Management and Persistence
598Saga Frameworks and Real-World Adoption

← System Design

Lesson 572 of 1,919·16. Distributed TransactionsPro lesson

Participant State Transitions

The states participants move through: ready, prepared, committed, or aborted.

This lesson is for subscribers

You've completed the free preview. Subscribe to unlock every lesson in every course.

See pricing Back to course