Paul shows examples of generating random numbers, random integers, random text values, and random groups. He also shows off the new random_normal function which just came out with Postgres 16.
Postgres 16 is out and it has some exciting updates to logical replication. Using a new WAL origin filter, you can avoid loopback transactions. Brian lays out the updates and how to get started with an active active cluster.
Did you know you can use random() with spatial data types? Paul has sample code for generating random points, lines, polygons, hulls, and even some shapes using a Voronoi diagram. Bonus examples of random_normal(), coming in Postgres 16.
pgvector for AI in Postgres catch your eye? Start thinking about scaling and performance now. Chris has some tips about partitioning and truncating data to strike that perfect balance between performance and accuracy.
Bob continues his series on using Argo CD to create GitOps workflows with Crunchy PostgreSQL for Kubernetes. In this post, he shows you how to create automated image updates. You can get a new Postgres image all the way from source to tested and ready for production with this workflow automation.
Wondering when to use a Materialized View or a CTE? Elizabeth has summaries, example queries, and comparisons for the most popular subquery tools.
Greg continues with Advent of Code series in Postgres with puzzle 19. This one uses recursive functions to follow blueprints and return the results. These functions even have terminal animations to show results as they are processed!
Crunchy Bridge now has database insights to keep track of key performance indicators for your Postgres database. From database tools like slow queries and cache hit ratio, to machine stats like CPU and IOPS, and a production check. We are making database management easier than ever.
Greg continues with more puzzles and solutions for the Advent of Code series, today covering day 18's puzzle. Greg has some amazing functions for surface area, heat maps, and 3d visualizations.
Chris has some tips on helping you get the most out of queries when working with a remote Postgres foreign data wrapper. He has an overview of how queries are executed with the fdw and then samples for using CTEs, sub-queries, materialized views, and more.
Greg continues with Advent of Code series, this one is puzzle 17. This one works with falling rocks. Using sequences, arrays, and aggregates he makes a stackable objects with nothing but SQL!
Want to get CSV data into your database? Paul has some great tools to help you use CSV and Google Sheets. Like remote copy, http access, using Python for materialized views, and ogr_fdw. You heard that right, there's a foreign data wrapper for CSV to Postgres!