Prisma is an open source ORM that allows you to easily manage and interact with databases. This guide discusses the features, benefits, and use cases of Prisma to help you decide if it’s the right choice for your next project.
Tuesday, March 12, 2024Supabase's Index Advisor is a PostgreSQL extension that recommends indexes to improve query performance.
Database indexes are similar to organized lists that help you find information quickly. To be most effective, indexes should align closely with how you typically query your data. Indexes don't magically work well at random and take careful thought to get correct.
PostgreSQL with the pgvector extension offers an efficient way to store and query embeddings. It offers simplified querying, data consistency, and better performance compared to using separate databases for relational and vector data.
A database management system parses, optimizes, and executes a SQL query in a specific order, starting with `FROM` and `JOIN` before `SELECT`. The process includes steps like tokenization, execution plan generation, data retrieval, filtering, sorting, and aggregation. Understanding this execution flow helps in writing efficient queries and optimizing database performance.
It's better to use identity columns instead of using the serial data type in Postgres. This is because `serial` has several issues, like permission complexities, a lack of integrity guarantees, and awkward ergonomics. Identity columns provide a better way to manage auto-incrementing primary keys and are also compliant with the SQL standard.
Selectable is a mobile app that lets you access your Postgres databases with a mobile-optimized experience. It lets you write complex SQL queries easily on the go.
On September 26, 2024, the PostgreSQL Global Development Group announced the release of PostgreSQL 17, marking a significant advancement in the capabilities of this open-source database system. This latest version builds upon decades of development, enhancing performance and scalability to meet the evolving demands of data access and storage. PostgreSQL 17 introduces substantial performance improvements across various aspects of database management. A key enhancement is the revamped memory management for the vacuum process, which now uses up to 20 times less memory, thereby speeding up operations and freeing up resources for other workloads. The I/O layer has also been optimized, allowing for up to double the write throughput in high concurrency scenarios, thanks to advancements in write-ahead log processing. Additionally, the new streaming I/O interface accelerates sequential scans and updates planner statistics more efficiently. The release also brings notable improvements to query execution. Queries utilizing IN clauses with B-tree indexes will see enhanced performance, and BRIN indexes can now be built in parallel. Other optimizations include better handling of NOT NULL constraints and improvements in processing common table expressions. The introduction of more SIMD support, particularly with AVX-512 for the bit_count function, further accelerates computational tasks. For developers, PostgreSQL 17 expands its JSON capabilities by implementing the SQL/JSON standard, including the new JSON_TABLE command, which allows for the conversion of JSON data into standard PostgreSQL tables. Additional features such as enhanced MERGE capabilities, improved bulk loading and exporting performance, and better management of partitioned tables and remote data instances are also included. Logical replication has been enhanced to facilitate high availability and simplify major version upgrades. Users can now retain logical replication slots during upgrades, eliminating the need for data resynchronization. The introduction of failover control for logical replication and the pg_createsubscriber command-line tool further bolster the resilience and flexibility of data management. Security and operational management have also seen improvements. PostgreSQL 17 introduces a new TLS option for direct handshakes and a predefined role for maintenance operations. The backup utility now supports incremental backups, and the pg_dump utility has been enhanced with a filtering option for more selective data exports. Monitoring features have been upgraded, providing deeper insights into database performance and session activity. Overall, PostgreSQL 17 represents a significant step forward in database technology, offering a robust set of features that cater to both new and existing workloads. The release underscores PostgreSQL's commitment to continuous improvement and its position as a leading open-source relational database system, supported by a vibrant global community.
On September 26, 2024, the PostgreSQL Global Development Group announced the release of PostgreSQL 17, marking a significant advancement in the capabilities of this open-source database system. This latest version builds upon decades of development, enhancing performance and scalability to meet the evolving demands of data access and storage. PostgreSQL 17 introduces substantial performance improvements across various aspects of database management. A key enhancement is the revamped memory management for the vacuum process, which now uses up to 20 times less memory, thereby speeding up operations and freeing up resources for other workloads. The I/O layer has also been optimized, allowing for up to double the write throughput in high concurrency scenarios, thanks to advancements in write-ahead log processing. Additionally, the new streaming I/O interface accelerates sequential scans and updates planner statistics more efficiently. The release also brings notable improvements to query execution. Queries utilizing IN clauses with B-tree indexes will see enhanced performance, while BRIN indexes can now be built in parallel. Other optimizations include better handling of NOT NULL constraints and improvements in processing common table expressions. The introduction of more SIMD support, particularly with AVX-512 for the bit_count function, further accelerates computational tasks. For developers, PostgreSQL 17 expands its JSON capabilities by implementing the SQL/JSON standard, introducing the JSON_TABLE command, which allows for the conversion of JSON data into standard PostgreSQL tables. This version also enhances the MERGE command for conditional updates and improves bulk loading and data exporting processes, achieving up to double the performance when exporting large rows. The release enhances logical replication, which is crucial for real-time data streaming. Users can now upgrade to PostgreSQL 17 without needing to drop logical replication slots, simplifying the upgrade process. Failover control for logical replication has been added, increasing resilience in high availability environments. Security and operational management features have also been improved. PostgreSQL 17 introduces a new TLS option for direct handshakes and a predefined role for maintenance operations. The backup utility now supports incremental backups, and the pg_dump utility includes a new filtering option for generating dump files. Monitoring and analysis capabilities have been enhanced, providing more insights into database performance and activity. Overall, PostgreSQL 17 represents a significant step forward in database technology, offering a robust set of features that cater to both new and existing workloads. The release reflects the ongoing commitment of the global open-source community to enhance the PostgreSQL platform, ensuring it remains a leading choice for organizations of all sizes.