This post will demonstrate mock asset tracking with PostgreSQL for a pipe fabrication setting. The typical data one would track and record in this setting are bends, weld id’s, and joints of pipe. We will see powerful queries from multiple tables, return informative and useful data with the JOIN command.
Proceeding from Part 1 and Part 2 of this series, today’s post will involve reading stored data in a PostgreSQL table using the SELECT statement along with filtering criteria in the WHERE clause for specific record searches. Modifying table data with the UPDATE command will also be visited to round out this discussion.
This post will demonstrate basic concepts for creating a simple database and table in PostgreSQL. These examples will brush the surface of the CREATE DATABASE and CREATE TABLE commands, providing a solid base, to begin with, and build on moving forward.
PostgreSQL’s Aggregate functions can be used to solve and answer many common questions and problems, allowing us to present our data in meaningful ways. Today we will look at an example of how to use some of these powerful functions for inventory or asset tracking needs.
Today’s blog post will show an example of how to delete an existing record from a PostgreSQL database utilizing Psycopg2, a feature-rich Python library, that offers a tremendous amount of functionality for working with Python and PostgreSQL databases.