Latest posts
Easy PostgreSQL Time Bins
Paul has some fast and easy tricks to show you how to get time series data into nice reportable data charts. Using functions like floor(), generate_series(), width_bucket(), and date_bin() you can bin your data in groups any way you like and retrieve charts in a flash.
7 min readIntroduction to Postgres Backups
A high level overview of the backup options in Postgres. Including pg_dump, pg_basebackup, and pgBackRest.
9 min readThe Integer at the End of the Universe: Integer Overflow in Postgres
Integer overflow can happen if you have a sequencing data type exceeding integer limits. Jesse has a query to help you spot it and recommendations for a short term and long term fix.
7 min readGeocoding with Web APIs in Postgres
Jacob walks you through the steps on how to set up a geocoder with the US census geocoding API inside your database with a plpython function and triggers.
3 min readPostgres Raster Query Basics
Paul takes us through how rasters are stored and queried in Postgres/PostGIS. He gives us the must have tips for dealing with rasters inside a database using digital elevation mode (DEM) examples.
6 min readWhat's Postgres Got To Do With AI?
Chris is cooking up some examples for us on how to use AI inside Postgres. We have a simple demo of using pg_vector and Open AI to grab relationships and query for other similar items.
7 min readPostgreSQL Unlogged Tables - Look Ma, No WAL!
Unlogged tables in Postgres can give you a big performance improvement but beware of the drawbacks. Here are some tips on how to safely give it a try.
11 min readPostgres WAL Files and Sequence Numbers
Go inside the WAL file with this in-depth look at WAL file Log Sequence Number (LSN), WAL segment positions, WAL file names, and pg_wal_switch.
7 min readTemporal Filtering in pg_featureserv with CQL
Dive into some examples of temporal filtering in pg_featureserv.
6 min readExposing Postgres Performance Secrets
Craig lays out four basic things to set up today to make finding and fixing performance faster in the future.
3 min readPostgres GitOps with Argo and Kubernetes
Curious about using Argo for application and database maintenance? Bob takes us through how to set up Argo with Crunchy Postgres for Kubernetes. The end results are some easy and simple GitOps for everyday tasks.
11 min readSQL Tricks for More Effective CRUD
Level up your SQL skills with this quick tutorial of some simple and not-so-simple create, read, update, and delete (CRUD) statements.
7 min readHow to Solve Advent of Code 2022 Using Postgres - Day 15
Day 15 of AOC we have new hands on SQL for the Beacon Exclusion Zone. This one uses CTEs, sequences, regexp_substr() / regexp_match(), int4range, range_agg(), and an upsert.
18 min readUsing Postgres FILTER
Craig dives into using FILTER and shows a query example using CTEs, CASE WHEN, and FILTER.
5 min readWill Postgres Use My Index? Hypothetical Indexing for Postgres
HypoPG is an extension to create hypothetical indexes and test if Postgres will use them. We think this tool is a good one to use in combination with our other favorites like EXPLAIN and pg_stat_statements.
3 min readIntro to Postgres Custom Data Types
A quick primer on the two main ways to create custom data types in PostgreSQL - DOMAINs and user-defined custom data types. Get some quick examples and learn which tools are recommended.
Stateful Postgres Storage Using Kubernetes
How can Kubernetes be the foundation of a stateful database? Ben takes us through the basics of Persistent Volumes, Volume Claims, and Postgres storage.
11 min readHow to Solve Advent of Code 2022 Using Postgres - Day 14
Day 14 of AOC we have new hands on SQL for the Distress Signal. This one uses lag(), sequencing, regexp_replace(), and overlay().
10 min readHow to Solve Advent of Code 2022 Using Postgres - Day 13
Day 13 of AOC we have new hands on SQL for the Distress Signal. This one uses lag(), sequencing, regexp_replace(), and overlay().
8 min readHow to Solve Advent of Code 2022 Using Postgres - Day 12
Day 12 of AOC we have new hands on SQL for the Hill Climbing Algorithm. This one uses parsing, an IDENTITY column, functions, and text arrays.
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