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Arpit Bhayani

Temporal Primer - Building Long-Running Systems What Matters in Production RAG Structure of Every LLM Chat How LLMs Really Work Your Monolith Is Already A Distributed System Databases Were Not Designed For This BM25 JOIN Algorithms Venting at Work Comes at a Reputation Cost Why Half Your Skills Expire Every Few Years Multi-Paxos - Consensus in Distributed Databases MySQL Replication Internals Bloom Filters When You Increase Kafka Partitions Product Quantization The Q, K, V Matrices The Day I Accidentally Deleted Production How LLM Inference Works What are Blocking Queues and Why We Need Them Heartbeats in Distributed Systems How Writes Work in Apache Cassandra Redis Replication Internals How to Handle Arrogant Colleagues at Work How Does a CDN Handle Content Replication You Can't Fix Everything on Day One When Emotions Spill Over at Work Why gRPC Uses HTTP2 Meetings With No Agenda Are a Waste of Time Career Longevity Beats Constant Job Hopping Stay Relevant at Higher Salary Levels Why Distributed Systems Need Consensus Algorithms Like Raft Why Do Databases Deadlock and How Do They Resolve It Why and How Cache Locality Can Make Your Code Faster Why Eventual Consistency is Preferred in Distributed Systems Why does DNS use both UDP and TCP Should You Do a Master's My Honest Take Empathy Makes Great Engineers Unstoppable Good Mentors Build People, Not Just Skills Why You Should Always Have Back-Burner Projects Before You Push Back, Know What You're Standing On Be the One They Can Count On How Much Are People Willing to Bet on You How to Get Leadership to Say Yes to Your Project Don't Let Your Best Ideas Die in Silence Be the Person Everyone Wants to Work With The XY Problem and How to Avoid It The Startup Hiring Lie Nobody Talks About You Won't Be Promoted Unless You Ask It's Not Enough to be Right; Learn to be Heard No One Ships Great Software Alone You Don't Win by Proving Others Wrong Appreciate Generously; It Costs Nothing, But Builds Everything Your Soft Skills Aren't Soft at All Before you form an opinion, experience it Why You Need Both Curiosity and Action to Thrive A Daily Worklog Changed Everything How We Handle Mistakes Defines Us Own Your Mistakes Don't Wait. Step Up. Temporary Fixes Are Permanent Why Interviews Are Biased And What Sets You Apart Saying 'This isn't my problem' is actually the problem How to Write Effective OKRs Never Lose a Battle due to Miscommunication When In Doubt, Code It Out How to Follow Up Without Annoying People Lead Projects That Land, Execution Over Everything Abstract Thinking Will Define Your Next Decade We Engineers Suck at Task Estimation Shiny Obect Syndrome in Tech When to Change Jobs - The 3P Framework Comfort and Competition - Know When to Switch Gears Paper Notes - On-demand Container Loading in AWS Lambda Paper Notes - SQL Has Problems. We Can Fix Them Pipe Syntax In SQL Paper Notes - NanoLog - A Nanosecond Scale Logging System Don't Wait, Learn - The Best Resource is Mythical Paper Notes - WTF - The Who to Follow Service at Twitter The Unexpected Benefit of Reading Random Engineering Articles Roadmaps Are Limiting Your Growth Stop Leaving Money on the Table - Negotiate Your Job Offer Never Bad-Mouth Your Past Employers Show You're a Culture Fit Quantify your resume, Know Your Numbers The Importance of Being Likeable in Interviews Questions to Ask Your Interviewer How to Build Trust Through Collaboration Do This, Once You Are Out of the Interview Cycle Stop Pitching Ideas, Start Pitching Projects Read Those Design Docs, Even the Ones That Seem Irrelevant The Best Engineering Lessons Happen During Outages Great Engineers Start Broad LLM Summaries are Ruining Your Learning Turn System Design Interviews into Discussions Title Inflation At Work, Find Your Own Projects 6 Simple Strategies to Cracking Any Tech Interview How to Remain Unblocked Solving the Knapsack Problem with Evolutionary Algorithms Generating Pseudorandom Numbers with LFSR Local vs Global Indexes in Partitioned Databases
Decoding Atomicity - The A in ACID
Arpit Bhayani · 2021-07-02 · via Arpit Bhayani

In this short essay, we dive deep and understand the “A” of ACID - Atomicity.

In this quick read, we will take a detailed look into Atomicity, understand its importance, and learn about implementing it at various levels.

What is atomicity?

A single database transaction often contains multiple statements to be executed on the database. In Relational Databases, these are usually multiple SQL statements, while in the case of non-Relational Databases, these could be multiple database commands.

Atomicity in ACID mandates that each transaction should be treated as a single unit of execution, which means either all the statements/commands of that transaction are executed, or none of them are.

At the end of the successful transaction or after a failure while applying the transaction, the database should never be in a state where only a subset of statements/commands is applied.

An atomic system thus guarantees atomicity in every situation, including successful completion of transactions or after power failures, errors, and crashes.

Atomicity ACID

A great example of seeing why it is critical to have atomicity is Money Transfers.

Imagine transferring money from bank account A to B. The transaction involves subtracting balance from A and adding balance to B. If any of these changes are partially applied to the database, it will lead to money either not debited or credited, depending on when it failed.

How is atomicity implemented?

Atomicity in Databases

Most databases implement Atomicty using logging; the engine logs all the changes and notes when the transaction started and finished. Depending on the final state of the transactions, the changes are either applied or dropped.

Atomicity can also be implemented by keeping a copy of the data before starting the transaction and using it during rollbacks.

Atomicity in File Systems

At the file system level, atomicity is attained by atomically opening and locking the file using system calls: open and flock. We can choose to lock the file in either Shared or Exclusive mode.

Atomicity at Hardware Level

At the hardware level, atomicity is implemented through instructions such as Test-and-set, Fetch-and-add, Compare-and-swap.

Atomicity in Business Logic

The construct of atomicity can be implemented at a high-level language or business logic by burrowing the concept of atomic instructions; for example, you can use compare and swap to update the value of a variable shared across threads concurrently.

Atomicity is not just restricted to Databases; it is a notion that can be applied to any system out there.

✨ Next up is “C” in ACID - Consistency. Stay tuned.

References