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Displaying posts with tag: Python (reset)
Basic Data Analysis with MySQL Shell Python mode

I recently watched a fantastic Python Pandas library tutorial series on YouTube. Without a doubt, Pandas is great for all sorts of data stuff. On the same token, MySQL Shell in Python mode is quite powerful in the sense that Python and the MySQL Shell (version >= 8.0) are somewhat united in the same environment. Although Pandas is in a league all its own when it comes to data analysis, between the power of MySQL and Python, we can also perform some basic analysis easily in MySQL Shell Python mode. In this blog post, I will cover some basic data analysis using Python mode in the MySQL Shell. Continue reading to see examples…

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OS, Software, and DB used:

  • OpenSuse Leap …
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MySQL Shell Python mode blog posts compilation

Over the last few months, I have written numerous blog posts on different features of the MySQL Shell ranging from basic CRUD to aggregate functions and DDL. As a part of the MySQL version 8 release, MySQL Shell is a powerful and alternative environment that you can manage and work with your data in using a choice of 3 languages: Python, Javascript, or SQL. So this blog post is a simple compilation of all the Python mode related posts, in one easy-to-access location…

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Self-Promotion:

If you enjoy the content written here, by all means, share this blog and your favorite post(s) with others who may benefit …

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ALTER TABLE ADD COLUMN – MySQL Shell Python style

We all know as SQL professionals that a common use of the ALTER TABLE command is that we can change a tables’ structure in a myriad number of ways. And, that’s a good thing too because chances are, you won’t always nail down the initial structure. Due to changing business or application requirements, you may even have to add additional columns that were not considered during the schema design phase. Suppose you have many tables that are structured similarly and they all need a specific column added to their already-existing design. Under certain circumstances, using the MySQL Shell in Python mode (\py), can reduce the number of manual ALTER TABLE statements you have to type. Continue reading to see examples in the MySQL Shell…

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MySQL Connector/Python 8.0.21 has been released

Dear MySQL users,

MySQL Connector/Python 8.0.21 is the latest GA release version of the
MySQL Connector Python 8.0 series. The X DevAPI enables application
developers to write code that combines the strengths of the relational
and document models using a modern, NoSQL-like syntax that does not
assume previous experience writing traditional SQL.

To learn more about how to write applications using the X DevAPI, see

http://dev.mysql.com/doc/x-devapi-userguide/en/

For more information about how the X DevAPI is implemented in MySQL
Connector/Python, and its usage, see

http://dev.mysql.com/doc/dev/connector-python

Please note that the X DevAPI requires at least MySQL Server version 8.0
or higher with the …

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Dynamic MySQL CREATE TABLE statement with pandas and pyodbc

Have you ever had to type out a massive CREATE TABLE statement by hand? One with dozens of columns? Maybe several dozens of columns? There are likely some GUI tools to help with large CREATE TABLE commands. Or, other drag-n-drop types of software that I am not familiar with. What if you could write a few lines of Python code and take care of a huge CREATE TABLE statement with way less effort than typed manually? Interested? Continue reading and see how using pandas, pyodbc, and MySQL…

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OS, Software, and DB used:

  • OpenSuse Leap 15.1
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MySQL Lock information in MySQL Shell

Last Tuesday, it was the very first session of DB AMA, Morgan Tocker made a nice presentation of MySQL Performance_Schema and illustrated it with some nice queries to get Meta et Data Locks.

As those queries were not that simple to write or at least to remember, I thought it might be a good idea to add them to MySQL Shell, the best MySQL DBA Tool !

I’ve then added a new method to the check plugin: getLocks().

Let’t see it in action:

As you can see, this is a small extension that can offers you a better view of what’s locked per transaction.

You can find several MySQL Shell Extension directly on github: …

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MySQL Connector/Python 8.0.19 has been released

Dear MySQL users,

MySQL Connector/Python 8.0.19 is the latest GA release version of the
MySQL Connector Python 8.0 series. The X DevAPI enables application
developers to write code that combines the strengths of the relational
and document models using a modern, NoSQL-like syntax that does not
assume previous experience writing traditional SQL.

To learn more about how to write applications using the X DevAPI, see

http://dev.mysql.com/doc/x-devapi-userguide/en/

For more information about how the X DevAPI is implemented in MySQL
Connector/Python, and its usage, see

http://dev.mysql.com/doc/dev/connector-python

Please note that the X DevAPI requires at least MySQL Server …

[Read more]
MySQL Document Store – a quick-guide to storing JSON documents in MySQL using JavaScript and Python (and even SQL!)

MySQL introduced a JSON data type in version 5.7, and expanded the functionality in version 8.0.

Besides being able to store native JSON in MySQL, you can also use MySQL as a document store (doc store) to store JSON documents. And, you can use NoSQL CRUD (create, read, update and …

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MySQL Connector/Python 8.0.18 has been released

Dear MySQL users,

MySQL Connector/Python 8.0.18 is the latest GA release version of the
MySQL Connector Python 8.0 series. The X DevAPI enables application
developers to write code that combines the strengths of the relational
and document models using a modern, NoSQL-like syntax that does not
assume previous experience writing traditional SQL.

To learn more about how to write applications using the X DevAPI, see

http://dev.mysql.com/doc/x-devapi-userguide/en/

For more information about how the X DevAPI is implemented in MySQL
Connector/Python, and its usage, see

http://dev.mysql.com/doc/dev/connector-python

Please note that the X DevAPI requires at least MySQL Server …

[Read more]
Python MySQL Query

Somebody asked me how to expand a prior example with the static variables so that it took arguments at the command line for the variables. This example uses Python 3 new features in the datetime package.

There’s a small trick converting the string arguments to date data types. Here’s a quick example that shows you how to convert the argument list into individual date data type variables:

#!/usr/bin/python3

# include standard modules
import sys
from datetime import datetime

# Capture argument list.
fullCmdArguments = sys.argv

# Assignable variables.
beginDate = ""
endDate = ""

# Assign argument list to variable.
argumentList = fullCmdArguments[1:]

# Enumerate through the argument list where beginDate precedes endDate as strings.
try:
  for i, s in enumerate(argumentList):
    if (i == …
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