This is just a reminder that on Sunday, I’ll be teaching a live, 4-hour introductory course on databases and SQL. If you haven’t ever worked with databases before, then this will give you the push that you need to understand how they work, and how to work effectively with them. I’ve been using SQL for…
Have you heard? Data is “the new oil” — meaning, data is the most valuable and important thing in the modern world. Which means that if you can store, retrieve, and organize your data, then you (and your company) are positioned for greater success. This usually means working with a database — and frequently, a…
Announcing: My new book, “Practice Makes Regexp,” with 50 exercises meant to help you learn and master regular expressions. With explanations and code in Python, Ruby, JavaScript, and PostgreSQL. I spend most of my time nowadays going to high-tech companies and training programmers in new languages and techniques. Actually, many of the things I teach…
After months of writing, editing, and procrastinating, my new ebook, “Practice Makes Regexp” is almost ready. The book (similar to my earlier ebook, “Practice Makes Python“) contains 50 exercises to improve your fluency with regular expressions (“regexps”), with solutions in Python, Ruby, JavaScript, and PostgreSQL. When I tell people this, they often say, “PostgreSQL? Really?!?” …
I recently helped a client with serious PostgreSQL problems. Their database is part of an application that configures and monitors large networks; each individual network node reports its status to the database every five minutes. The client was having problems with one table in particular, containing about 25,000 rows — quite small, by modern database…
I was recently performing an analysis on the database for my dissertation software, and wanted to look at one particular set of rows. The table I was looking at is called Nodes, and because each node (represented by a row in the table) can optionally belong to a group, the group_id column allows for NULL…
I’ve spent the last few blog posts in this series talking about PostgreSQL’s arrays — how to create them, query them, and even create them with the ARRAY function. But there are cases in which I would like to do the opposite — turn a PostgreSQL array to rows. There are a number of reasons…
So far in this series, I have described how you can create arrays and retrieve information from them — both the actual data stored in the array, and information about the array, such as its length. But the coolest trick, or set of tricks, that I use in PostgreSQL is the ability to turn arrays…
So far, this series has looked at how to create PostgreSQL arrays, how to retrieve data from them, and how to get the length of an array’s outer and inner dimensions. But one of the most common actions that we’ll want to do with an array is look inside to see if a particular value…
In my last blog post, I introduced the idea of a PostgreSQL array, and showed how we can insert data into a table using either the curly-brace {} syntax, or the ARRAY construction syntax. In this post, I want to talk about PostgreSQL indexes and length — what happens when we retrieve from indexes that exist (and…