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.

InnoDB INSERT Performance: Practical Examples and Execution Plans

Various factors can influence the performance of INSERT operations in InnoDB. Let’s explore the performance considerations and provide practical examples along with execution plans: 1. Indexes and Constraints: Execution Plan: 2. Auto-Increment Primary Keys: Execution Plan: […]

PostgreSQL Indexing Strategies: Making Informed Column Indexing Decisions

Introduction Optimizing database performance is crucial for efficient application functioning, and one of the key strategies to achieve this in PostgreSQL is through intelligent indexing. Indexing involves creating data structures that allow the database […]

Troubleshooting Out-of-Memory (OOM) Errors in PostgreSQL

Out-of-Memory (OOM) errors can be a significant concern when operating a PostgreSQL database. These errors occur when the system’s memory resources are exhausted, leading to degraded database performance, service disruptions, and even system crashes. Understanding the […]

InnoDB READ Efficiency: Unraveling SELECT Query Performance

Have you ever wondered how efficient your SELECT queries really are in terms of reading data from InnoDB tables? Understanding the read efficiency of your queries can shed light on the performance of your database, […]

Troubleshooting InnoDB Buffer Pool Eviction Issues

Buffer pool eviction is a common performance challenge in MySQL databases that run the InnoDB storage engine. The buffer pool is a critical component that stores frequently accessed data to improve query response times. […]

Advanced InnoDB Performance Monitoring: Using Statistics and Forecasts for Optimization

Deep Dive into PostgreSQL’s Data Pages and Data Rows: Understanding Internal Storage and Retrieval Mechanisms

Internally, PostgreSQL organizes data into data pages and data rows for efficient storage and retrieval. Let’s dive into the details of how these components work in PostgreSQL: 1. Data Pages -Storage:PostgreSQL stores data […]

Transaction Lock Waits MySQL: Analysis and Troubleshooting

Introduction Performance is a pivotal aspect of any database system. When users experience slowdowns or blocks, one common culprit in transactional systems like InnoDB (the default MySQL storage engine) is lock contention. This happens […]

InnoDB Log Growth and CPU Spikes in MySQL: Causes, Troubleshooting, and Monitoring Strategies

Growing InnoDB log files can create CPU spikes in MySQL due to several reasons. Here’s how this might happen and what you can do to troubleshoot and monitor such a performance bottleneck: How Growing InnoDB […]

PostgreSQL Performance Tuning: Configuring Efficient Caching for Optimal Query Response

PostgreSQL Performance tuning Caching is a crucial aspect of improving PostgreSQL’s performance by reducing the need to access disk storage for frequently accessed data. Moreover, efficient caching can significantly enhance query performance and response […]

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