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.

MariaDB Direct Path Reads(DPR): How They Work for Performance

Direct Path Reads (DPR) is a performance optimization feature in MariaDB that enables the database to read data directly from disk into memory, bypassing the operating system cache. This can result in significant performance improvements […]

PostgreSQL Parallel Hash Joins Explained

Parallel Hash Joins in PostgreSQL are a type of join operation that can be executed in parallel, allowing for faster and more efficient execution of database queries. In a hash join, the database first builds […]

PostgreSQL Direct Path Reads: How They Work for Performance

In PostgreSQL, Direct Path Read is implemented as an optimization technique for full table scans, which aims to bypass the buffer cache and read data directly from disk into the process memory, reducing the overhead […]

PostgreSQL Buffer Header Queues Explained

In PostgreSQL, buffer headers are data structures that represent a single page of data in the shared buffer cache. Each buffer header has information about the state of the page it represents, such as whether […]

PostgreSQL Indexing: When Does BRIN Win?

BRIN (Block Range INdex) is a type of index in Postgres that is used for large tables with a large number of rows and a high degree of clustering. BRIN is an efficient way to […]

PostgreSQL Block Visits and Undo: How They Are Implemented

In PostgreSQL, data block visits and undo are implemented as part of the storage and transaction management systems. In summary, PostgreSQL implements data block visits and undo through a combination of the buffer manager, the […]

How to use pg_largeobject in PostgreSQL?

The pg_largeobject system table in PostgreSQL is used to store and manage large binary objects (BLOBs) of binary data. To use pg_largeobject, you need to perform the following steps: For example, the following code shows […]

InnoDB early lock release

InnoDB early lock release is a feature in MySQL 8 and higher that allows the database to release locks earlier in the transaction processing process. This helps to reduce lock contention and improve overall performance. […]

InnoDB Page Compression: How It Is Implemented

Page compression is implemented in InnoDB using the “Compressed InnoDB Tables” feature. This feature compresses the data stored in individual pages of the InnoDB tables, reducing their size and thus reducing the amount of disk […]

MySQL 8 Partition Pruning: How It Improved

In MySQL 8, partition pruning has been improved to make it more efficient and flexible. Partition pruning is a performance optimization technique that helps to minimize the amount of data that needs to be scanned […]

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