“Postgres Growth in 2024 | Expanding Postgres by 297”

  • Postgres in 2024: Logical replication, blue-green deployments, and performance enhancements are the future. Embracing logical replication can minimize downtime and improve the upgrade experience. The addition of sequence transitions and state transfer for replication slots is highly anticipated in 2024.
  • Foreign Keys: They’re not crucial until you need them, and they might impact performance during writes. Be cautious when using foreign key constraints to avoid lock contention and unnecessary indexes.
  • Incremental Backups: Postgres 17 introduces support for incremental backups, allowing for faster restores and reduced storage requirements.
  • Non-Postgres SQL queries: Five ways to implement non-Postgres SQL queries, with left join and not exists showing consistent performance across different data sets.
  • Mailing list culture: The importance of balancing criticism with praise in the Postgres community, with a focus on constructive feedback and support.
  • Work_mem tuning: Adjusting work_mem to optimize query performance and avoid excessive disk writes, ensuring that the system operates smoothly.
  • Benchmarking challenges: A thoughtful exploration of the complexities and variables involved in benchmarking, highlighting the importance of thorough consideration and analysis.

In this article, we’ll summarize a recent blog post by Jonathan Katz, focusing on the developments in PostgreSQL for the year 2024. We will cover the challenges, performance enhancements, and developer features discussed in the post, as well as provide insights into foreign key constraints, incremental backups, and non-postgres implementation.

πŸ’» Challenges and Availability

In 2023, the biggest challenges in PostgreSQL were categorized into three buckets: availability, performance, and developer features. The blog post emphasizes the importance of availability, specifically in terms of minimal downtime and avoiding excessively locking something when making changes. It discusses the new feature of logical replication and the potential of improvements in the future, such as supporting sequence transitions and the state of a replication slot on a replica.

πŸš€ Performance Enhancements

The performance-related challenges in PostgreSQL focus on supporting large instance sizes, IO, and recovery. The blog post addresses the need for support for large instance sizes and discusses improvements in IO and recovery processes to enhance performance. Additionally, it highlights the potential impact of foreign key constraints on performance during writes, lock contention, and the importance of managing indexes for scaling and database migrations.

πŸ”§ Developer Features

The developer-focused section of the blog post praises the multi-range type and discusses the advancements in AI, learning, and security. It also explores the enhancements in extensions and the significance of community building to make PostgreSQL more accessible to everyone.

πŸ—οΈ Foreign Key Constraints

Foreign key constraints are discussed in-depth, emphasizing their performance impact during writes, lock contention, and their relevance in database scaling and migrations. The need to carefully consider their usage, particularly during design and data Integrity assessment, is highlighted.

πŸ“ˆ Incremental Backups

The introduction of incremental backups in PostgreSQL 17 brings a new approach to database backups by copying only what has changed since the last full backup. This method ensures faster and more efficient backups, reducing downtime and enabling quicker restores, as demonstrated in the blog post.

πŸ› οΈ Non-Postgres Implementation

The blog post delves into the implementation of non-PostgreSQL queries and explores different approaches, such as using "not exists," "in," and various join methods. It provides insights into the performance and scalability of each approach, offering valuable recommendations for database queries. Additionally, it presents a thought-provoking perspective on the balance between praise and criticism in community discourse.


In conclusion, the blog post highlights the significant advancements, challenges, and best practices in PostgreSQL for 2024. From availability and performance enhancements to foreign key constraints, incremental backups, and non-Postgres implementation approaches, the post offers valuable insights into the evolving landscape of database management. It concludes with a reflection on community engagement and the importance of balanced discourse in fostering growth and innovation.

Key Takeaways

  • Availability challenges and developments in logical replication
  • Performance enhancements in instance sizes, IO, and recovery processes
  • Developer features, including multi-range types and community building
  • Impact of foreign key constraints on database management
  • Benefits of incremental backups for efficient data protection
  • Implementation strategies for non-PostgreSQL queries and community discourse

Frequently Asked Questions

Below are some common questions related to the blog post content:

  1. What are the key challenges discussed in the blog post?
  2. How does PostgreSQL 17 introduce incremental backups?
  3. What are the considerations for foreign key constraints in database management?

For further details and in-depth analysis, refer to the original blog post by Jonathan Katz on thoughts.postgres.com.


[1] Katz, J. (2024). Scaling PostgreSQL: Challenges, Performance, and Developer Features. Retrieved from thoughts.postgres.com

Disclaimer: The content of this article is for informational purposes only and should not be considered as professional advice. Always consult relevant sources for accurate information and guidance.

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