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Displaying posts with tag: DBA (reset)
MySQL Windows DSN

Almost a Ripley’s Believe It or Not. An prior data science student told me that his new IT department setup a Windows component that let him connect his Excel Spreadsheets to their production MySQL database without a password. Intrigued, I asked if it was a MySQL Connector/ODBC Data Source Configuration, or DSN (Data Source Name)?

He wasn’t sure, so I asked him to connect to PowerShell and run the following command:

Get-Item -Path Registry::HKEY_LOCAL_MACHINE\SOFTWARE\ODBC\ODBC.INI\MySQL

It returned something like this (substituting output from one of my test systems):

    Hive: HKEY_LOCAL_MACHINE\SOFTWARE\ODBC\ODBC.INI


Name                           Property
----                           --------
MySQL                          Driver      : C:\Program Files\MySQL\Connector ODBC 8.0\myodbc8w.dll
                               DESCRIPTION : MySQL ODBC Connector
                               SERVER      : …
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Setting SQL_MODE

In MySQL, the @@sql_mode parameter should generally use ONLY_FULL_GROUP_BY. If it doesn’t include it and you don’t have the ability to change the database parameters, you can use a MySQL PSM (Persistent Stored Module), like:

Create the set_full_group_by procedure:

-- Drop procedure conditionally on whether it exists already.
DROP PROCEDURE IF EXISTS set_full_group_by;

-- Reset delimter to allow semicolons to terminate statements.
DELIMITER $$

-- Create a procedure to verify and set connection parameter.
CREATE PROCEDURE set_full_group_by()
  LANGUAGE SQL
  NOT DETERMINISTIC
  SQL SECURITY DEFINER
  COMMENT 'Set connection parameter when not set.'
BEGIN

  /* Check whether full group by is set in the connection and
     if unset, set it in the scope of the connection. */
  IF NOT EXISTS
    (SELECT NULL
     WHERE  REGEXP_LIKE(@@SQL_MODE,'ONLY_FULL_GROUP_BY'))
  THEN
    SET SQL_MODE=(SELECT CONCAT(@@sql_mode,',ONLY_FULL_GROUP_BY'));
  END IF; …
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MySQL sakila Database

While I thought my instructions were clear, it appears there should have been more in my examples for using the MySQL MSI. A key thing that happened is that students opted not to install:

Samples and Examples 8.0.22

Unfortunately, they may not have read the Preface of Alan Beaulieu’s Learning SQL, 3rd Edition where he explains how to manually download the files from the MySQL web site. Here are those, very clear, instructions (pg. XV) with my additions in italics for the MySQL Shell:

First, you will need to launch the mysql command-line client or the mysqlsh command-line shell, and provide a password, and then perform the following steps:

  1. Go to https://dev.mysql.com/doc/index-other.html and download the files for the …
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MySQL Self-Join

I’m switching to MySQL and leveraging Alan Beaulieu’s Learning SQL as a supporting reference for my Database Design and Development course. While reviewing Alan’s Chapter 5: Querying Multiple Tables, I found his coverage of using self-joins minimal.

In fact, he adds a prequel_film_id column to the film table in the sakila database and then a single row to demonstrate a minimal self-join query. I wanted to show them how to view a series of rows interconnected by a self-join, like the following:

SELECT   f.title AS film
,        fp.title AS prequel
FROM     film f LEFT JOIN film fp
ON       f.prequel_id = fp.film_id
WHERE    f.series_name = 'Harry Potter'
AND      fp.series_name = 'Harry Potter'
ORDER BY f.series_number;

It returns the following result set:

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Conditional Updates

While I’m switching labs next term after more than a decade with more comprehensive lab set, I’m hoping the new exercises build the students’ core SQL skill set. Next term, I hope to see whether the change is successful. I’ve opted for using Alan Beaulieu’s Learning SQL: Generate, Manipulate, and Retrieve Data, 3rd Edition, because it’s a great book and uses the MySQL database.

One exercise that the students will lose is a data migration exercise from a badly designed common_lookup table to a well designed common_lookup table. The starting point is shown below on the left and the fixed version is on the right.

         …

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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…

Photo by Tamara Gore on Unsplash

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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MySQL Backup and Disaster Recovery Webinar

MySQL Backup and Disaster Recovery Webinar (Thursday, June 18, 2020 – 06:00 PM to 07:00 PM PDT)

There can be several reasons for a MySQL database outage: hardware failure, power outage, human error, natural disaster etc. We may not be able prevent all the disaster from happening but investing on a robust disaster recovery plan is very important for building fault-tolerant database infrastructure operations on MySQL.  Every MySQL DBA is accountable for developing a disaster recovery plan addressing data sensitivity, data loss tolerance and data security. Join Shiv Iyer, Founder and Principal of MinervaDB to lean about the best practices for building highly reliable MySQL DR strategy and operations on Thursday, June 18, 2020 – 06:00 PM to 07:00 PM PDT. Building DR for a high traffic MySQL database infrastructure means deep understanding of multiple backup strategies and choosing optimal ones which are best suited for performance …

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Data SRE – Building Database Systems Infrastructure for Performance and Reliability

Data SRE – Building Database Systems Infrastructure Operations for Performance and Reliability

Recently ( on Friday, 5 June 2020 – 06:00 PM PDT to 06:45 PM PDT  ) our Founder and Principal ( Shiv Iyer ) did a webinar on building Database Systems Infrastructure Operations for Performance and Reliability. In this webinar, he discussed about capacity planning / sizing, observability & resilience, performance audit / health-check / diagnostics / forensics, performance optimization & tuning and building highly available / fault-tolerant / self-healing systems architecture. You can download the PDF of the webinar here . Thanks for joining the webinar and making it a success, Looking forward to seeing you all in the next webinar.

 

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Java & MySQL 8.0.19

It’s the in-between term time and we’re all stuck at home. I decided to update the image for my Fedora 30 virtual machine. I had a work around to the update issue that I had encountered last October in Bug #96969 but it was not required with the current version. However, after updating from MySQL 8.0.17 to MySQL 8.0.19, I found that my Java connection example failed.

The $CLASSPATH value was correct:

/usr/share/java/mysql-connector-java.jar:.

The first error that I got was the my reference to MySQL JDBC driver was incorrect. The error message is quite clear:

Loading class `com.mysql.jdbc.Driver'. This is deprecated. The new driver class is `com.mysql.cj.jdbc.Driver'. The driver is automatically registered via the SPI and manual loading of the driver class is generally unnecessary.
Cannot connect to database server:
The server time zone …
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InnoDB Flushing in Action for Percona Server for MySQL

As the second part of the earlier post Give Love to Your SSDs – Reduce innodb_io_capacity_max! we wanted to put together some concepts on how InnoDB flushing works in recent Percona Server for MySQL versions (8.0.x prior to 8.0.19, or 5.7.x). It is important to understand this aspect of InnoDB in order to tune it correctly. This post is a bit long and complex as it goes very deep into some InnoDB internals.

InnoDB internally handles flush operations in the background to remove dirty pages from the buffer pool. A dirty page is a page that is modified in memory but not yet flushed to disk. This is done to lower the write load and the latency of the transactions. Let’s explore the various sources of flushing inside InnoDB.

Idle Flushing

We already discussed the idle flushing in the previous post …

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