Last time I shared a video that is an introduction to Using MySQL without the SQL.   This time I am adding two more videos -- one on Document Collections and another on simple indexes.  The MySQL Document Store is a simple, easy to use way to for developers to store data without much of the traditional pre-requisite chores needed with a relational database.

You simple connect to the MySQL instance using the new MySQL Shell to the schema of your choice, create a document collection, and can start saving data right …

I am writing a tutorial on the MySQL Document Store for the sold out (sorry) pre-FOSDEM MySQL days.  For those who do not write such exercise they are often a difficult task as you have a limited time to convey information, need to provide vivid examples, and create exercises that give a good idea of what the topic is all about.  And my personal preference is to write once and use the tutorial at other events (please let me know if you have such an event).

Indexing records is a well know performance step when creating databases, SQL or NoSQL.  And back in June of 2017 I wrote a blog post on using createIndex() to index documents in the MySQL Document Store. And as part of creating the tutorial I referred to that blog post as a reference and was quite surprised that it was not working.

What happened? Well back in 8.0.11 the function was revised and it is no longer a series of chained calls but …

Por si no se hubiera visto o promocionado lo suficiente, quería compartir la lista de webcasts en Español que ya hay disponible en On Demand webinars en el apartado de News & Events en mysql.com:

https://www.mysql.com/news-and-events/on-demand-webinars/#es-20-0

Sobre 1 hora de duración cada una, aquí tenéis algunos ejemplos:

MySQL InnoDB Cluster: Una introducción y Demo

MySQL, NoSQL, JSON, JS, Python: Document Store. (+demo)

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JSON has proven to be a very import data format with immense popularity. A good part of my time for the last two or so years has been dedicated to this area and I even wrote a book on the subject.  This is a comparison of the implementations of handling JSON data in MySQL and MariaDB. I had requests from the community and customers for this evaluation.


JSON Data Types Are Not All Equal
MySQL added a JSON data type in version 5.7 and it has proven to be very popular.  MariaDB has  JSON support  version 10.0.16 but is actually an alias to a longtext data type so that statement based replication from MySQL to MariaDB is possible.

MySQL stores  JSON documents are …

With new MySQL Shell 8.0.13 comes a new way to quickly load JSON data sets very quickly.  In a past blog and in several talks I have shown how to use the shell with the Python mode to pull in the data.  But now there is a much faster way to load JSON

Load JSON Quickly Start a copy of the new shell with mysqlsh. Connect to your favorite server \c dave@localhost and then create a new schema session.createSchema('bulk'). Then point you session to the schema just created with \use bulk.  Version 8.0.13 has a new utility function named importJson that does the work.  The first argument is the path to the data set (here the MongoDB restaurant collection) and the second allows you to designate the schema and collection where you wish to have the data stored.  In this example the data set was in the downloads directory of my laptop and I wanted to put it in the newly created 'bulk' schema …

Someone once told me you can tell how healthy a software project is by the number of new books each year.  For the past few years the MySQL community has been blessed with one or two books each year. Part of that was the major shift with MySQL 8 changes but part of it was that the vast majority of the changes were fairly minor and did not need detailed explanations. But this year we have been blessed with four new books.  Four very good books on new facets of MySQL.

Introducing the MySQL 8 Document Store is the latest book from Dr. Charles Bell on MySQL.  If you have read any other of Dr. Chuck's book you know they are well written with lots of examples.  This is more than a simple introduction with many intermediate and advanced concepts covered in detail.

The MySQL Document Store is a NoSQL JSON document store built upon well known MySQL database technology.  PHP runs about eight percent of the Internet.  So putting the two together is a big priority for me. So this blog post is about getting all this together on a Ubuntu 18.04 system.

Note that I will be teaching PHP and the X DevAPI at Oracle Code One and hopefully in some tutorials/workshops this year.  These session will feature the X DevAPI installed on Virtual Box images and I probably will not have time to cover these steps in detail but I will point to this as reference material.


PHP 7.2 PHP's performance has really skyrocketed with the seven series and the newer betas are looking very impressive.  But to use the new X Devapi you will need to get the shared object for it into your PHP server. 

The MySQL X DevAPI PECL Extension
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This time we will look at the differences in updating records between MongoDB and the MySQL Document Store.  Syntactically they are pretty different.  I am still following the Getting Started With MongoDB article for example queries.

Updating Records
In Mongo we update thusly:
> db.restaurants.update(
... { "name" : "Juni" },
... {
...  $set: { "cuisine" : "American (new)" },
...  $currentDate: { "lastModified" : true }
... }
... )
WriteResult({ "nMatched" : 1, "nUpserted" : 0, "nModified" : 1 })
>

The same update in the MySQL Document Store can be a lot different.  We could update using SQL or NoSQL.  I would like to update the document with the change to the cuisine and …

Last time I was stumped by the MongoDB $gt: operator.  I wanted to look for restaurants in a certain Manhattan burough OR in a zipcode greater than a certain zipcode.  Well, I was getting different results between Mongo and MySQL.

To > or Not To >, That Is the Query
Lets say we have three records with the same key but the values are 1, 2, and "3". Yup, you got it two numerics and one string.  I would expect schema less data to be free flowing, not typed, and pretty much a free for all.  Whoops. Bad assumption on my part for Mongo use.

I added three JSON documents into Mongo as can be seen below:

Both MongoDB and the MySQL Document Store are JSON document stores.  The syntax differences in the two products are very interesting.  This long will be a comparison of how commands differ between these two products and may evolve into a 'cheat sheet' if there is demand.

I found an excellent Mongo tutorial Getting Started With MongoDB that I use as a framework to explore these two JSON document stores.
The DataI am using the primer-dataset.json file that MongoDB has been using for years  in their documentation, classes, and examples. MySQL has created the world_x data set based on the world database used for years in documentation, classes and examples.  The data set is a collection of JSON documents filled with restaurants around Manhattan.
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