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Displaying posts with tag: postgresql (reset)
When simple SQL can be complex

I think SQL is a very simple language, but ofcourse I'm biased.

But even a simple statement might have more complexity to it than you might think.

Do you know what the result is of this statement?

SELECT FALSE = FALSE = TRUE;

scroll down for the answer.



























The answer is: it depends.

You might expect it to return false because the 3 items in the comparison are not equal. But that's not the case.

In PostgreSQL this is the result:

postgres=# SELECT FALSE = FALSE = TRUE;
?column?
----------
t
(1 row)

So it compares FALSE against FALSE, which results in TRUE …

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The 10 Most Popular DB Engines (SQL and NoSQL) in 2015

About two years ago, we’ve published this post about the 10 most popular DB engines, where we analyzed the data published by Solid IT on their DB Ranking website.

In the meantime, the Solid IT measurement system has found to be a credible source, such that the website has also been cited at Gartner, InfoWorld, and many other sources. For more details about how this is measured, check out the relevant website on …

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ConFoo Call for Papers is Open

ConFoo is once more seeking passionate speakers for the upcoming conference.

The event is happening in Montreal, Canada, between February 24th and 26th, 2016. It is an exciting conference for web developers with speakers from all over the world. It unites many web programming languages under one roof, as well as other topics related to web development. The call for papers closes on September 20th.

ConFoo renews 50% of its speakers each year. If you’re new to this conference, you should definitely submit.

If you would just like to attend, there is a discount until October 13th.

SQL, ANSI Standards, PostgreSQL and MySQL

I have recently been working with the Donors Choose Open Data Set which happens to be in PostgreSQL. Easy enough to install and load the data in PostgreSQL, however as I live and breath MySQL, lets load the data into MySQL.

And here is where start our discussion, first some history.

SQL History

SQL – Structure Query Language is a well known common language for communicating with Relational Databases (RDBMS). It is not the only language I might add, having both used many years ago and just mentioned QUEL at a Looker Look and Tell event in New York. It …

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PostgreSQL Auto IDs

PostgreSQL’s approach to automatic numbering is as simple as Oracle but different than MySQL, and Microsoft SQL Server. For example, you have a two-step process with Oracle, PostgreSQL, MySQL, and Microsoft SQL Server. First, you create an Oracle table with the GENERATED AS IDENTITY clause, a PostgreSQL table with the SERIAL data type, a MySQL table with the AUTO_INCREMENT clause, and a Microsoft SQL Server table with the IDENTITY(1,1) clause. Then, you need to write an INSERT statement for Oracle, MySQL, or Microsoft SQL Server like:

  1. Oracle’s INSERT statement excludes the auto-incrementing column from the list of columns or provides a NULL value in the VALUES-list. You can then assign the RETURNING INTO result from an INSERT statement to a session-level (bind) variable.
  2. MySQL’s …
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Django with time zone support and MySQL

This is yet another story of Django web-framework with time zone support and pain dealing with python datetimes and MySQL on the backend. In other words, offset-naive vs offset-aware datetimes.

Shortly, more about the problem. After reading the official documentation about the time zones, it makes clear that in order to reflect python datetime in the necessary time zone you need to make it tz-aware first and than show in that time zone.

Here is the first issue: tz-aware in what time zone? MySQL stores timestamps in UTC and converts for storage/retrieval from/to the current time zone. By default, the current time zone is the server’s time, can be changed on MySQL globally, per connection etc. So it becomes not obvious what was tz of the value initially before stored in UTC. If you …

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Starting a new Rails project

Since Ruby on Rails 4.2 has just been released, perhaps now is a good time to review creating a shiny new Rails project. It’s not often I get to create a new project from scratch, but it’s Christmas and I’ve got a bit of downtime — and an itch I’d like to scratch! So, let’s get started.

I’m aiming to build a wee project that keeps track of OmniFocus perspectives. I’ve noticed that people are sharing their perspectives as screenshots and descriptions, in tweets and blog posts. Wouldn’t it be awesome if there was a one-stop-shop for everybody’s perspectives?

A couple of early decisions in terms of the basic starting point:

  • Chances are I’ll deploy the app onto Heroku, so it’s a no-brainer to start out by using PostgreSQL in development. (Even …
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osquery is neat

Facebook recently made opensource, osquery. It gives you operating system data via SQL queries! Its very neat, and you can test this even on MacOSX (it works on that platform & Linux). It is by far the project with the most advanced functionality, linked here in this post.

I noticed that rather quickly, there was a PostgreSQL project, called pgosquery, based on Foreign Data Wrappers with a similar idea. (apparently it was written in less than 15 minutes; so a much lower learning curve than the regular MySQL storage engine interface)

I immediately thought about an older MySQL project, by Chip Turner (then at Google, now at Facebook), called …

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TokuMX vs. PostgreSQL in EnterpriseDB's NoSQL Compression Benchmark

Since this is my first blog I feel it's necessary to introduce myself. I'm Tim Callaghan, I work at Tokutek (makers of TokuDB and TokuMX), and I love benchmarking. While some of the content on this blog will certainly be about Tokutek technologies, I plan on exploring a wide variety of others as well. These are strictly my own personal views and opinions, and comments/feedback are always welcome. Lets get started...

A few weeks ago I noticed an EnterpriseDB NoSQL Benchmark that measured Data Load, Insert, Select, and Size. It wasn't just a NoSQL benchmark, it was specifically calling out …

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MySQL 5.7.5: GROUP BY respects functional dependencies!

Today, Oracle announced the availability of the Development Milestone Release 15 of MySQL 5.7.5. The tagline for this release promises "Enhanced Database Performance and Manageability". That may sound rather generic, the actual list of changes and improvements is simply *huge*, and includes many items that I personally find rather exciting! Perhaps I'm mistaken but I think this may be one of the largest number of changes packed into a MySQL point release that I've witnessed in a long time. The list of changes includes improvements such as:

  • InnoDB improvements: Simplified tablespace recovery, support for spatial indexes, dynamic configuration
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Showing entries 31 to 40 of 448
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