PostgreSQL and Databases in general

Wednesday, 19 February 2020

Parallelism, what next?

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This blog post is about the journey of parallelism in PostgreSQL till now and what is in store for the future.  Since PostgreSQL 9.6 where...
16 comments:
Friday, 25 May 2018

Parallel Index Scans In PostgreSQL

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There is a lot to say about parallelism in PostgreSQL. We have come a long way since I wrote my first post on this topic ( Parallel Sequen...
4 comments:
Monday, 5 March 2018

zheap: a storage engine to provide better control over bloat

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In the past few years, PostgreSQL has advanced a lot in terms of features, performance, and scalability for many-core systems.  However, o...
7 comments:
Friday, 17 March 2017

Hash indexes are faster than Btree indexes?

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PostgreSQL have supported Hash Index for a long time, but they are not much used in production mainly because they are not durable.  Now, ...
13 comments:
Friday, 11 March 2016

Troubleshooting waits in PostgreSQL

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Currently when the PostgreSQL database becomes slow especially on systems with high load, it becomes difficult to find the exact reasons. ...
4 comments:
Sunday, 29 November 2015

Parallel Sequential Scans in play

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Parallelism is now reality in PostgreSQL.  With 9.6, I hope we will see many different form of queries that can use parallelism to execut...
4 comments:
Saturday, 8 August 2015

Improved Writes in PostgreSQL For 9.6 (Part - 1)

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Lately, PostgreSQL has gained attention because of numerous performance improvements that are being done in various areas (like for 9.5...
2 comments:
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Amit Kapila
Amit Kapila emphasizes on database internals and is a technical team leader at Fujitsu. A 25-year database veteran, Amit has developed deep expertise in PostgreSQL, Oracle®, and in-memory databases. He participates actively in developing and reviewing new features in PostgreSQL. Amit is a Committer and a Major Developer in PostgreSQL. Amit's major work in PostgreSQL includes improvements in logical replication, hash indexes, parallel-query, performance improvements for multi-core machines, and scalability. In the past, he has worked on integrating the in-memory storage engine to PostgreSQL-based code and also improved the Oracle performance by doing statement caching.
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