The book that teaches SQL to application developers. Turn thousands of lines of code into simple SQL queries! Written and published by @tapoueh.theartofpostgresql.comJoined August 2021
This article by @tapoueh shows how to benefit from the @PostgreSQL concept of a data type: more than input validation, a PostgreSQL data type also implements expected behaviours and processing functions.
tapoueh.org/blog/2018/05/p…
The modern calendar is a trap for the young engineer’s mind. We deal with the calendar on a daily basis and until exposed to its insanity it’s rather common to think that calendar based computations are easy. Here we show case @PostgreSQL abilities tapoueh.org/blog/2017/06/p…
In this article we are going to use @PostgreSQL to dive in an existing data set that we know very little about: the music catalog parts of the Chinook sample database. You can easily reproduce our queries locally should you want to.
tapoueh.org/blog/2017/06/e…
Reset Counter: I’ve been given a nice puzzle that I think is a good blog article opportunity, as it involves some thinking and window functions.
tapoueh.org/blog/2012/10/r…
The state of the art Cardinality Estimation Algorithm called HyperLogLog is available as a @PostgreSQL extension! Read more about it at tapoueh.org/blog/2013/02/p…
How to quickly find data matching a complex set of user provided tags, all within @PostgreSQL query engine, you may ask! In the following article we use some denormalization tricks to answer that, read more at tapoueh.org/blog/2013/10/d…
Database Normalization and Primary Keys... including a review of bad habits you might have when using sequences or automated id... which defeats the point entirely! tapoueh.org/blog/2018/03/d…
"In @PostgreSQL Data Types: Point we did download a complete geolocation data set and normalized it, making good use of other PostgreSQL data types we’ve been learning about in the previous articles of this series." See tapoueh.org/blog/2018/05/p… from @tapoueh
Once the user data is properly stored as timestamp with time zone, @PostgreSQL allows implementing all the processing you need to. In this article we dive into a set of examples to help you get started with time based processing in your database.
ed.gr/dkvjt
There was SQL before window functions and SQL after window functions: that’s how powerful this tool is. Read more about it in this article by @tapoueh at tapoueh.org/blog/2013/08/u…
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