I am super pleased to share that I have completed and uploaded my first (that I can share at least) personal portfolio piece written in PHP to a subdomain on my personal hosting server located at walk.openlamp.tech. Over the better part of the last year, I have developed a custom reporting dashboard written in PHP for my (current) employer, but do not share any of that work as it is proprietary and not owned by me. However, for a personal project, I can share far and wide. In this post, I provide a brief overview of my simple (in theory at least) application/site, built on the LAMP stack using the MVC (Model-View-Controller) design pattern in core PHP along with Bootstrap 4, jQuery, and MySQL.

Image by …

MySQL 8.0 provides another way to handle JSON documents, actually in a "Not only SQL" (NoSQL) approach... In other words, if you need/want to manage JSON documents (collections) in a non-relational manner, with CRUD (acronym for Create/Read/Update/Delete) operations then you can use MySQL 8.0! Did you know that?

The VideoThe find() function for the MySQL Document Store is a very powerful tool and I have just finished a handy introductory video. By the way -- please let me have feed back on the pace, the background music, the CGI special effects (kidding!), and the amount of the content. The ScriptFor those who want to follow along with the videos, the core examples are below. The first step is to connect to a MySQL server to talk to the world_x schema (Instructions on loading that schema at the first link above).

\connect root@localhost/world_x

db is an object to points to the world_x schema. To find the records in the countryinfo collection, use db.countryinfo.find(). But that returns 237 JSON documents, too many! So lets cut it down to …

I am starting a series of videos on the MySQL Document Store. The Document Store allows those who do not know Structured Query Language (SQL) to use a database without having to know the basics of relational databases, set theory, or data normalization. The goal is to have sort 2-3 minute episodes on the various facets of the Document Store including the basics, using various programming languages (Node.JS, PHP, Python), and materializing free form schemaless, NoSQL data into columns for use with SQL.

The first Episode, Introduction, can be found here.

Please provide feedback and let me know if there are subjects you would want covered in the near future.

The MySQL Document Store functionality allows developers to use a relation database with or without SQL (structured Query Language), also known as NoSQL. The example in this blog is hopefully a simple look at this new feature of MySQL. The example data used is from JSONStudio.com and is a JSON formatted data set for US zip (postal) codes (656K compressed). So download your copy of this data set and lets get to work.

Create a collectionCollections are tables and below we create a collection name 'zip' in the test database in the Python dialect.

mysqlsh -u root -p --py test
Creating an X Session to root@localhost:33060/test
Enter password:
Default schema `test` accessible through db.

Welcome to MySQL Shell 1.0.4 Development Preview

Copyright (c) 2016, Oracle and/or its affiliates. …

Is it cheating? Is using MySQL without Structured Query Language (SQL) or putting all your data into one column proper? Impossible a year ago and probably thought as a poor/crazy practice until recently, this is a new type of MySQL usage. NoSQL has had a big impact in the SQL world with several relational products from vendors like MySQL, Microsoft, Postgresql and others offering NoSQL interfaces and JSON data types to their databases.

Several old timers have come to me asking if putting lots of data in a JSON column is cheating? After all data normalization is part of relational databases and the way to efficiency and speed is well organized data. This higgledy–piggledy fashion of putting an entire document in a column without breaking it down to its component sections does violate the first rule of data normalization. And that has …

Hi all,

Today I'd like to continue a blog series in which I highlight Web application tutorials for NetBeans 6.5. A few changes have been made to tutorials, among which is the featuring of MySQL as the database of choice.

This sixth entry in the series will cover the tutorial, "Performing Inserts, Updates, and Deletes (CRUD)".

This tutorial shows you how to use NetBeans IDE 6.5 and JSF 1.2 (Woodstock) components to build a web application that can create, retrieve, update, and delete database rows. The application provides a drop-down list of master data along with a synchronized detail table. Users of the application can add to, update, and delete the records in the detail table and from its associated database.

MySQL is the database used in this version of the tutorial.

This is the …

Hi all,

Today I'd like to continue a blog series in which I highlight Web application tutorials for NetBeans 6.5. A few changes have been made to tutorials, among which is the featuring of MySQL as the database of choice.

This fifth entry in the series will cover the tutorial, "Building a Tree From Database Data".

This tutorial shows you how to dynamically build a tree structure from data in a database. Using NetBeans IDE 6.5, you build a two-page application, the first page of which includes a JSF 1.2 (Woodstock) Tree component. You populate the first-level nodes in the Tree with names from a database, and the second-level nodes with the trips for that person. The trip nodes are links to a second page, which displays the details for that trip.

MySQL is the database used in this version of the tutorial.

Hi all,

Today I'd like to continue a blog series in which I highlight Web application tutorials for NetBeans 6.5. A few changes have been made to tutorials, among which is the featuring of MySQL as the database of choice.

This fourth entry in the series will cover the tutorial, "Using Databound Components to Access a Database".

In this tutorial, you use NetBeans IDE 6.5 to create and deploy a web application that displays master-detail data from a database that is packaged with the IDE. In the application, you select a person from a JSF 1.2 (Woodstock) drop-down list, and the application displays a table that shows all the trip records for that person.

MySQL is the database used in this version of the tutorial.

A new look to an existing tutorial. Be sure to check this one out.

…