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.

Optimizing SQL Server Performance: Implementing RowStore vs. ColumnStore Indexes

SQL Server RowStore vs. ColumnStore Indexes SQL Server provides two main types of indexes: RowStore and ColumnStore. Each is designed to optimize different workloads, making it essential to understand their strengths and use cases. RowStore [...]

How to implement Parallel Redo Logging in InnoDB?

Parallel Redo Logging in InnoDB Implementing parallel redo logging in InnoDB requires optimizing its configuration to enhance parallel redo log writing and improve write-heavy workloads. Although MySQL documentation doesn't explicitly mention "parallel redo logging," InnoDB [...]

Tips and Tricks for reducing Leaf Block Contention happening to InnoDB

Leaf block contention in InnoDB Leaf block contention in InnoDB tables can significantly impact the performance of your MySQL database, especially under high concurrency. This situation typically occurs when multiple transactions are trying to modify [...]

PostgreSQL for SQL Server DBAs – What is an alternative to sys.dm_exec_query_stats in the PostgreSQL world?

PostgreSQL for SQL Server DBAs The sys.dm_exec_query_stats Dynamic Management View (DMV) in Microsoft SQL Server provides performance statistics for cached query plans. It allows database administrators and developers to monitor and analyze SQL query performance, […]

InnoDB Locking Mechanisms Explained: From Flush Locks to Deadlocks

InnoDB, as a MySQL storage engine, uses various locking mechanisms to manage concurrency and ensure data integrity. Understanding these locks is essential for effective database administration and optimization. Now, let's explore each of these lock [...]

Tips and Tricks for troubleshooting MySQL Thread Cache performance in high concurrent update applications

MySQL thread cache MySQL thread cache plays a crucial role in systems with high concurrency, especially during frequent updates. When sized correctly, the thread cache reduces the overhead of creating and destroying threads for new [...]

Optimizing Query Performance in PostgreSQL 16 with the Advanced auto_explain Extension

PostgreSQL Auto_Explain_Extension To use the advanced auto_explain extension in PostgreSQL 16, you should first load it into the server. This can be done by adding auto_explain to either session_preload_libraries or shared_preload_libraries in the postgresql.conf file. [...]

Composite Indexes in PostgreSQL

Composite indexes in PostgreSQL Composite indexes in PostgreSQL are a powerful tool designed to optimize database performance. They are a type of database index that encompasses more than one column of a table, making them […]

Optimizing MySQL 8 Performance: Strategies for Using Workload Statistics Effectively

MySQL Performance Optimization When troubleshooting MySQL 8 performance issues, relying on workload statistics helps identify query inefficiencies and optimize resource allocation effectively. Analyzing workload patterns enables targeted optimizations, reducing query response times and improving overall [...]

Maximizing MySQL Database Performance: Advanced Statistical Analysis of Query Throughput Capacity

Query Throughput Capacity in MySQL Performance Troubleshooting Query Throughput Capacity in MySQL performance troubleshooting measures the number of queries processed by the server within a specific time frame (e.g., queries per second). This metric serves [...]