Articles by Shiv Iyer

About Shiv Iyer

Open Source Database Systems Engineer with a deep understanding of Optimizer Internals, Performance Engineering, Scalability and Data SRE. Shiv currently is the Founder, Investor, Board Member and CEO of multiple Database Systems Infrastructure Operations companies in the Transaction Processing Computing and ColumnStores ecosystem. He is also a frequent speaker in open source software conferences globally.

Adaptive Joins (not a native PostgreSQL 16 feature but can be mimicked) in PostgreSQL 16

PostgreSQL does not natively support "Adaptive Hash Joins" as a built-in feature. In PostgreSQL, the query planner chooses join methods such as nested loop, hash join, and merge join based on the statistics and cost [...]

Optimizing Join Operations in MySQL 8 for Enhanced Performance and Scalability

MySQL, particularly the InnoDB engine used in MySQL 8, primarily relies on Nested Loop joins for query execution. However, understanding how joins work and implementing them efficiently is crucial for database performance and scalability. While [...]

Optimizing MySQL 8 for Enhanced Write Performance: Key Configuration Strategies

Tuning MySQL 8 for optimized write operations involves adjusting a variety of settings and structures to enhance the performance of insertions, updates, and deletions. Here's a focused approach to tuning these write operations: 1. InnoDB Buffer [...]

Strategies for Adaptive Hash Indexing in MySQL: To Enable or Disable?

Deciding whether to enable or disable Adaptive Hash Indexing (AHI) in MySQL involves a careful evaluation of your database's workload characteristics and performance metrics. AHI can significantly speed up read operations for certain types of [...]

How to configure the Number of Background InnoDB I/O Threads in MySQL 8 for performance?

In MySQL, configuring the number of background InnoDB I/O threads is crucial for performance optimization, especially on servers with multiple cores and high I/O capacity. InnoDB uses background threads for tasks like flushing dirty pages, [...]

How Parallel Redo Logs works in InnoDB works in MySQL 8?

Parallel redo logging in InnoDB, introduced in MySQL 8.0, is a significant enhancement aimed at improving the performance of write-heavy workloads. It enhances the efficiency of redo log operations, particularly on systems with multiple CPU [...]

Optimize PostgreSQL Performance: Strategic Use of SKIP_DATABASE_STATS and ONLY_DATABASE_STATS

Configuring SKIP_DATABASE_STATS and ONLY_DATABASE_STATS in PostgreSQL requires careful consideration to ensure optimal performance: Impact on Restore Time and Performance: Omitting database-wide statistics with SKIP_DATABASE_STATS can speed up the dump process and reduce its size. However, [...]

Speed Up Your PostgreSQL 16 Backups with Improved pg_dump

In PostgreSQL 16, pg_dump has become faster due to the introduction of new compression methods: LZ4 and ZSTD. LZ4 Compression: LZ4 is known for its high-speed compression and decompression. While it may result in slightly [...]

Installing and Configuring pgvector in PostgreSQL: A Step-by-Step Guide

pgvector is an open-source extension for PostgreSQL designed to efficiently handle vector data within the database. It's particularly useful for machine learning and similar applications where working with vector data is common. To install and [...]

Step-by-Step Guide to Migrating from PostgreSQL 11 to 15 Using pg_upgrade

Discover a comprehensive guide on how to seamlessly migrate from PostgreSQL 11 to 15 using the pg_upgrade tool. Our step-by-step tutorial ensures a smooth and efficient database upgrade process with minimal disruption, covering installation, preparation, execution, and post-upgrade steps. Perfect for database administrators looking to upgrade to PostgreSQL 15 with confidence. [...]

The WebScale Database Infrastructure Operations Experts in PostgreSQL, MySQL, MariaDB and ClickHouse

Enterprise-class 24*7 Consultative Support and Managed Services for PostgreSQL, MySQL, MariaDB and ClickHouse