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Alternatives to TimescaleTime-Series Analysis in RAWS Time-Series Database: Understanding Your OptionsWhat Is a Time Series and How Is It Used?Is Your Data Time Series? Data Types Supported by PostgreSQL and TimescaleWhy Consider Using PostgreSQL for Time-Series Data?How to Work With Time Series in Python?Tools for Working With Time-Series Analysis in PythonGuide to Time-Series Analysis in PythonTime-Series Analysis and Forecasting With Python Understanding Database Workloads: Variable, Bursty, and Uniform PatternsThe Best Time-Series Databases ComparedUnderstanding Autoregressive Time-Series ModelingStationary Time-Series AnalysisCreating a Fast Time-Series Graph With Postgres Materialized ViewsWhat Are Open-Source Time-Series Databases—Understanding Your OptionsWhat Is Temporal Data?
Optimizing Your Database: A Deep Dive into PostgreSQL Data TypesHow to Install PostgreSQL on LinuxHow to Install PostgreSQL on MacOS5 Common Connection Errors in PostgreSQL and How to Solve ThemHow to Fix No Partition of Relation Found for Row in Postgres DatabasesHow to Fix Transaction ID Wraparound ExhaustionUnderstanding PostgreSQL Date and Time FunctionsData Partitioning: What It Is and Why It MattersWhat Is Data Compression and How Does It Work?Self-Hosted or Cloud Database? A Countryside Reflection on Infrastructure ChoicesUnderstanding ACID Compliance Understanding percentile_cont() and percentile_disc() in PostgreSQLUsing PostgreSQL UPDATE With JOINUnderstanding PostgreSQL Conditional FunctionsUnderstanding PostgreSQL Array FunctionsWhat Characters Are Allowed in PostgreSQL Strings?Understanding PostgreSQL's COALESCE FunctionWhat Is Data Transformation, and Why Is It Important?Understanding PostgreSQL User-Defined FunctionsStructured vs. Semi-Structured vs. Unstructured Data in PostgreSQLUnderstanding SQL Aggregate FunctionsUnderstanding Foreign Keys in PostgreSQLUnderstanding PostgreSQLUnderstanding FROM in PostgreSQL (With Examples)Understanding FILTER in PostgreSQL (With Examples)How to Address ‘Error: Could Not Resize Shared Memory Segment’ Understanding HAVING in PostgreSQL (With Examples)Understanding GROUP BY in PostgreSQL (With Examples)Understanding LIMIT in PostgreSQL (With Examples)Understanding PostgreSQL FunctionsUnderstanding ORDER BY in PostgreSQL (With Examples)Understanding WINDOW in PostgreSQL (With Examples)Understanding PostgreSQL WITHIN GROUPPostgreSQL Mathematical Functions: Enhancing Coding EfficiencyUnderstanding DISTINCT in PostgreSQL (With Examples)Using PostgreSQL String Functions for Improved Data AnalysisData Processing With PostgreSQL Window FunctionsUnderstanding WHERE in PostgreSQL (With Examples)PostgreSQL Joins : A SummaryUnderstanding OFFSET in PostgreSQL (With Examples)Understanding the Postgres string_agg FunctionWhat Is a PostgreSQL Full Outer Join?What Is a PostgreSQL Cross Join?What Is a PostgreSQL Inner Join?What Is a PostgreSQL Left Join? And a Right Join?PostgreSQL Join Type TheoryUnderstanding PostgreSQL SELECTA Guide to PostgreSQL ViewsStrategies for Improving Postgres JOIN PerformanceUnderstanding the Postgres extract() FunctionUnderstanding the rank() and dense_rank() Functions in PostgreSQL
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Published at Jan 4, 2024

Relational Database

Understanding ACID Compliance

As a developer, you've likely heard of the term ACID compliance, but what does it mean, and why is it important? In this blog post, we will explain ACID compliance and its relevance in PostgreSQL and TimescaleDB.

What Is ACID Compliance?

ACID compliance refers to a set of properties that guarantee reliability and consistency in database transactions. The acronym stands for Atomicity, Consistency, Isolation, and Durability:

  • Atomicity ensures that each transaction is treated as a single, indivisible unit of work. Either all operations within the transaction are completed successfully, or none of them are.

  • Consistency guarantees that a transaction brings the database from one valid state to another, maintaining data integrity.

  • Isolation ensures that the concurrent execution of transactions leaves the database in the same state as if the transactions were executed sequentially.

  • Durability guarantees that once a transaction has been committed, it remains so, even in the event of power loss, crashes, or errors.

Diving Deeper into ACID Compliance: A Closer Look at Each Component

Let’s dive deeper into each of these database transaction properties.

Atomicity: The all-or-nothing principle

Atomicity is a fundamental principle in database transactions, often described as an "all-or-nothing" proposition. It ensures that a transaction is treated as a single, indivisible unit of work. 

If any part of the transaction fails, the entire transaction is rolled back, leaving the database unchanged. This rollback mechanism prevents partial data updates that could lead to inconsistencies and corruption in your database.

Consistency: Upholding integrity constraints

Consistency, another key aspect of ACID compliance, guarantees that your database transitions from one valid state to another. This involves satisfying a set of predefined integrity constraints before and after the transaction.

If any action within a transaction violates these constraints, the transaction is rolled back. This ensures that your database remains in a consistent state, upholding data integrity and preventing corruption.

Isolation: Ensuring transactional privacy

Isolation ensures that transactions do not interfere with each other when executed concurrently. It creates an environment where each transaction operates as if it's the only one running on the system.

This property prevents issues like dirty reads (reading uncommitted data), non-repeatable reads (data inconsistency within the same transaction), and phantom reads (inconsistencies due to data insertion during a transaction). Various isolation levels, such as Read Uncommitted, Read Committed, Repeatable Read, and Serializable, can be implemented to achieve the desired level of isolation.

Durability: Making transaction results permanent

Durability is the final component of ACID compliance. It guarantees that once a transaction is committed, its effects are permanent, regardless of any subsequent system failures like power outages or crashes.

The changes made by a committed transaction are stored in non-volatile memory, typically disk storage, ensuring that they survive any potential system mishaps. This durability provides peace of mind, knowing that your committed data is safe and secure.

Is PostgreSQL ACID-Compliant?

Yes, PostgreSQL is indeed ACID-compliant. It provides robust mechanisms to ensure atomicity, consistency, isolation, and durability for all database transactions. This means that with PostgreSQL, you can rely on your database transactions being executed reliably and consistently, which is crucial for maintaining data integrity and application stability.

Is TimescaleDB ACID-Compliant?

Built on PostgreSQL, TimescaleDB inherits its ACID-compliant nature. This means that TimescaleDB also guarantees atomicity, consistency, isolation, and durability for database transactions. By leveraging the power of PostgreSQL, TimescaleDB offers developers a reliable and consistent database solution ideal for time-series data, events, and analytics.

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