Hironobu SUZUKI @ InterDB

I’ve just released pg_plan_inspector that is a framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.

One movie is worth a thousand words. Watch this movie.

I’m developing a new private product, but I’ve not decided the name of it yet. So, I’d like to do a poll about what name is good.

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I made a PostgreSQL’s module called shutdown_db using weekend time.

This module emulates the Oracle’s shutdown commands by controlling access for each DB.

pgindent maintains the uniform layout style of postgresql related source code.

My first Chinese book has been published on 1st June.

I made a program to calculate ‘A * B mod N’, where A, B and N are 64 bit integers.

Main problem is to avoid overflow when calculate ‘A * B’.

I searched a while and finally decided to use the interleaved modular multiplication method, which is used in the feild of electric circuit design.

I found some bugs when I tested corner cases, so I have to fix them [2018.9.2]. I think I’ve fixed them [2018.9.3]. I’ve just improved it! [2018.9.5]

The program is shown below:

In the standard setup of Citus, it has one coordinator, so it is the single point of failure and the bottle neck of the system.

To solve these disadvantages, I built a multi-coordinator using Streaming Replication, which is the built-in replication feature of PostgreSQL.

I found an interesting postgres cluster management system using Pacemaker. It is created by GoCardless. They provide a vagrant box, so we can play and learn it easily.

There is unfortunately no best practice when you should execute “VACUUM FULL”. The extension pg_freespacemap however gives you suggestion.

At the end of 2014, I was shocked at the progress of blind deblurring algorithm, so I studied the recent researches in this field.

I read many papers and made a system based on this paper: “Blind deconvolution using alternating maximum a posteriori estimation with heavy-tailed priors”.