A Deep Dive into PostgreSQL Indexing
Presented by:
Dr. Ibrar Ahmed
Ibrar Ahmed, Principal Engineer at pgEdge, brings 25 years of experience in software design and open-source development, particularly PostgreSQL. With a strong background in system-level embedded development, Ibrar has made impactful contributions during his tenure at companies like EnterpriseDB, Percona, and Bitnine. Since 2006, he's been instrumental in enhancing PostgreSQL's core engine, driving performance improvements, and refining essential modules.
His expertise spans MySQL, Oracle, and NoSQL solutions like MongoDB and Hadoop, alongside tools like Hive, HBase, and Spark. A prolific author and blogger, Ibrar shares deep insights into PostgreSQL with several authoritative books. Over the past year, he’s delivered over fifteen talks worldwide at PostgreSQL conferences, further cementing his reputation. His dedication to advancing data management technology continues to shape
Indexes are a basic feature of relational databases, and PostgreSQL offers a rich collection of options to developers and designers. To take advantage of these fully, users need to understand the basic concept of indexes, to be able to compare the different index types and how they apply to different application scenarios. Only then can you make an informed decision about your database index strategy and design. One thing is for sure: not all indexes are appropriate for all circumstances, and using a ‘wrong’ index can have the opposite effect to that you intend and problems might only surface once in production. Armed with more advanced knowledge, you can avoid this worst-case scenario! We’ll take a look at how to use pg_stat_statment to find opportunities for adding indexes to your database. We’ll take a look at when to add an index, and when adding an index is unlikely to result in a good solution. So should you add an index to every column? Come and discover why this strategy is rarely recommended as we take a deep dive into PostgreSQL indexing.
- Date:
- 2020 July 7 10:00 UTC
- Duration:
- 1 h
- Room:
- Online
- Conference:
- Postgres Webinar Series
- Language:
- Track:
- Ops
- Difficulty:
- Requires Registration:
- Yes (Registered: 254)