![]() If we want to look at order growth month over month, we’d use a truncation function in Postgres: #Truncate date specificity Here’s how things look across dialects: Functionįor a more concrete example of when you’d use a date truncation function, imagine we have a table of order where each row represents an order, and each order has a date. The prototype function here is DATE_TRUNC(), which truncates your date to a lower level of specificity, like month or year. Date roundingĭate rounding lets you lower the specificity of your date this is useful for aggregations and looking at trends over time. Once a month, we send out top stories (like this one) along with Retool tutorials, templates, and product releases. Subscribe to the Retool monthly newsletter These are usually the same across TO_DATE() and FORMAT_DATE(). Almost every single dialect follows the C strftime standard, except for Postgres. There’s a whole “language” of string formatting arguments that developers need to frantically search Google for every time they use them. SELECT EXTRACT(EPOCH FROM TIMESTAMP ' 20:38:40') Here’s how we’d use these functions in Postgres, with expected inputs and outputs: #Convert unix time to date format TIMESTAMP 'epoch' + your_timestamp_column * INTERVAL '1 second' Here’s how these different conversion functions look across major SQL dialects: Function A typical unix timestamp might look like this: 1284352323. Unix time (which is also called epochs time) is kind of funky: it corresponds to the number of seconds that have elapsed since January 1st, 1970. This function is usually used to format dates in specific ways as strings, so the arguments are the important part. FORMAT_DATE() – convert a date into a string.Sometimes you’ll need to specify what format the string is in through the function arguments. TO_DATE() – convert a string to a date format.TO_UNIXTIME() – convert a regular date format into a unix time date.FROM_UNIXTIME() – convert a unix time date into a normal date.Let’s go! Formattingĭates never seem to be in the format you want them to be in.Ĭomputers interpret dates in all different formats, from unixtime to strings and timestamps, and they’re usually not friendly to each other. In general, we’ll use “date” in this tutorial but the distinction isn’t super important. A TIMESTAMP is just a DATE with an additional two levels of precision: fractional seconds and fractional seconds with time zones. Something that often gets confusing is the difference between DATE and TIMESTAMP. Presto – a popular open source query engine built by Facebook and often used with HDFS / Hive.Redshift – Amazon’s cloud based data warehouse (or at least one of them).BigQuery – Google’s cloud based data warehouse that shares SQL syntax with other GCP databases (Standard SQL).PostgreSQL – the world’s second most popular open source relational database, and a developer favorite for syntax.MySQL – the world’s most popular open source relational database (thanks, Oracle).We’ll tackle 5 broad categories:įor each function prototype, we’ll provide the right syntax and documentation for 5 of the more popular SQL dialects: When you’re working with dates, there are prototypes for types of functions: even though the exact syntax might differ between dialects, the idea is the same. Syntax is slightly different from MySQL to PostgreSQL (for example), and some dialects have functions that others don’t (e.g. Part of why writing SQL is annoying is that there are hundreds of different flavors. Get started for free □ SQL dialects and function prototypes Sidebar: With Retool you can build and internal tools remarkably fast using 50+ drag-and-drop components (including date and time pickers). This post will run through how you can effectively work with dates in SQL, resolve your issue quickly, and get back to bed. In Javascript you’ve got Moment, but parsing dates in SQL is a bit more complex. Nobody likes dates, especially programmers, but they’re a critical part of pretty much every application. It turns out migrating from Redshift to Bigquery was not “as easy as 123” and your DBA switched all of your timestamps to unix time. But slowly, your sweet dream turns into a nightmare: all of the queries you wrote earlier in the day are parsing dates wrong, your app is down, and your boss is angry. ![]() It’s 3AM, and you’re sleeping soundly in your room.
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