The Other Half of the Dual-Write Problem: What Happens When a Job Finishes
The article discusses the dual-write problem in background job processing, particularly focusing on the completion phase of jobs. It highlights the challenges that arise when different systems, such as databases and queues, do not share transactions, leading to potential inconsistencies. The author emphasizes that while there are common solutions to mitigate these issues, many job libraries do not inherently resolve the dual-write problem, leaving developers to manage idempotency themselves.
- ▪The dual-write problem occurs when an application writes to two systems without a shared transaction, leading to inconsistencies.
- ▪The article outlines how the completion of jobs can fail if the worker crashes after updating the database but before acknowledging the job completion to the queue.
- ▪Most job libraries do not fix the dual-write problem because they operate with separate transactions for the worker process and the completion acknowledgment.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3729836) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Yury Posted on May 19 The Other Half of the Dual-Write Problem: What Happens When a Job Finishes #node #opensource #postgres #sqlite queuert (3 Part Series) 1 The dual-write problem (and a Postgres-native fix for Node.js background jobs) 2 TypeScript-first job chains: end-to-end inference for background jobs 3 The Other Half of the Dual-Write Problem: What Happens When a Job Finishes In the first post of this series I talked about the dual-write problem on the producer side — the…
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