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.

Understanding How Plan Cache Based Execution Statistics implemented in PostgreSQL?

Plan Cache Based Execution Statistics is a feature in PostgreSQL that collects and aggregates execution statistics for SQL statements that are stored in the plan cache. This allows users to monitor and analyze the performance […]

PostgreSQL Locks Explained – Understanding PostgreSQL MVCC

PostgreSQL provides three transaction isolation levels, which control the visibility of changes made by concurrent transactions. PostgreSQL Locks: PostgreSQL uses various types of locks to ensure data consistency in concurrent environments. Locks can influence performance […]

How do Wait Events influence PostgreSQL Performance?

Understanding PostgreSQL Wait Statistics is critical for optimizing database performance. Wait Statistics provide insights into the resources that are being blocked and the time that is being spent waiting for those resources. Here’s an overview […]

How to use pg_stat_statements to monitor the performance of VACUUM and ANALYZE operations?

pg_stat_statements is a PostgreSQL extension that provides a detailed view of the SQL statements executed by the database server. It can be used to monitor the performance of VACUUM and ANALYZE operations by tracking the […]

How to Troubleshoot Index Fragmentation in PostgreSQL?

Index fragmentation in PostgreSQL can occur when data is inserted, updated, or deleted in a table. As new data is added, the index can become fragmented, meaning that the data is no longer physically ordered […]

Understanding Pessimistic Locking and Optimistic Locking in PostgreSQL

Pessimistic locking and optimistic locking are two approaches used in database management systems, including PostgreSQL, to control concurrent access to shared data. Pessimistic Locking: Pessimistic locking is a concurrency control mechanism that assumes conflicts will […]

How is hash aggregation implemented in MariaDB?

Hash aggregation is a type of aggregation algorithm used in MariaDB to efficiently calculate aggregate functions such as SUM, COUNT, MAX, and MIN on large data sets. It works by dividing the data into groups […]

Declarative partitioning in MariaDB and Monitoring

What is declarative partitioning in MariaDB? How does declarative partitioning benefit MariaDB performance? Monitoring MariaDB partitioning and disk I/O operations Declarative partitioning in MariaDB is a feature that allows you to divide a table’s data […]

How to avoid “OR” in MariaDB for better performance?

Avoiding the use of the “OR” operator in MariaDB can help improve query performance by reducing the number of rows that need to be scanned and filtered. Here are some strategies to avoid using “OR” […]

How to avoid “OR” in PostgreSQL for better performance?

Using the OR operator in a SQL query can result in poor performance, especially when used in combination with other operators, such as LIKE, IN, and subqueries. In PostgreSQL, there are several techniques that can […]