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Displaying posts with tag: database (reset)
Import CSV file with MySQL Workbench

CSV imports with MySQL Workbench, is super simple. Since CSV’s are probably the most common data interchange format, it goes without saying that importing CSV data into MySQL is a staple task for all DBA’s and Developers. Continue reading to learn how easy it is using MySQL Workbench…

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Database Performance Archaeology

… an expedition to uncover (and fix) database performance issues!

© 2021 Tiago L. Alves. All rights reserved.

One of the worse things that can happen when upgrading to a newer database version is discovering that the performance is not as good as before. Despite the effort put into gate-keeping MySQL NDB Cluster’s strict performance requirements, one of our customers found a performance regression when upgrading from our 7.4 version to our 7.6 version. How did that happen when our automated performance test suite failed to show it? To answer that, and fix the issue we enrolled on a database performance archaeology expedition…

When your performance is not good enough

MySQL NDB Cluster is an open-source in-memory distributed database developed for high-availability (99.999% or more) and predictable query times. It can be found at the core of gaming, banking, telecommunication, and online services. …

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PHP portfolio piece – Analytics data.

I recently published a blog post about a portfolio project I am developing using the LAMP stack, Bootstrap 4, jQuery, and the MVC (Model-View-Controller) design pattern in core PHP. In this post, I will introduce an additional feature I integrated into the existing project.

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PHP CRUD Application – Portfolio Piece

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.

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MySQL JDBC Statement Caching

Introduction In this article, we are going to see how we can enable the MySQL JDBC Driver Statement Caching mechanism, which, unfortunately, is not enabled by default. No matter what data access framework you are using, you still need to configure the JDBC Driver if you want to get the most out of the MySQL database engine. MySQL JDBC client-side PreparedStatement As I explained in this article, by default, the MySQL JDBC Driver emulates prepared statements. So, no matter if you are executing a plain Statement or a PreparedStatement, the SQL statement... Read More

The post MySQL JDBC Statement Caching appeared first on Vlad Mihalcea.

MySQL per channel replication filters examples

This is a simple article with an examples for “how to configure replication filters for channel”

Starting from MySQL 8.0 replication filters can be global or channel-specific, enabling you to configure multi-source replicas with replication filters on specific replication channels. Channel specific replication filters are particularly useful in a multi-source replication topology when the identical database or table is present on multiple sources, and the replica is only required to replicate it from one source.

Example:

CHANGE REPLICATION FILTER REPLICATE_DO_DB =(test,test3,test4 ), REPLICATE_REWRITE_DB = ((test1,test3),(test2,test4)) FOR CHANNEL "node1";

my.cnf confiration to make replication filter setting persistent:

replicate-do-db=node1:test
replicate-do-db=node1:test3
replicate-do-db=node1:test4
replicate-rewrite-db=node1:test1->test3 …
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PHP technical writing compilation

Having spent the majority of this year programming a custom reporting dashboard for my employer written in PHP and MySQL, it is an understatement to say that I have learned a lot. Nothing beats real-world experience and I really have come into my own with PHP, learning more and more daily as I continue progressing forward on my goal of becoming a Back-End Web Developer. I have written several PHP-related posts this year and wanted to provide them all in one easy-to-access list. Enjoy!

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MySQL Window Function Compilation

If you use SQL on a regular basis, then you are well aware that Window Functions are powerful. They allow us to simplify queries that would otherwise be quite the mess. We can provide meaningful insight across rows of data without collapsing the results into a single value. I have written numerous blog posts on Window Functions, many here recently. I decided to make this blog post a compilation of all the Window Function posts I have written, providing a one-stop source for any readers interested in learning more about Window Functions…

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Scaling Datastores at Slack with Vitess

From the very beginning of Slack, MySQL was used as the storage engine for all our data. Slack operated MySQL servers in an active-active configuration. This is the story of how we changed our data storage architecture from the active-active clusters over to Vitess — a horizontal scaling system for MySQL. Vitess is the present and future of Datastores for Slack and continues to be a major success story for us. From the solid scalability fundamentals, developer ergonomics, and the thriving community, our bet on this technology has been instrumental for Slack’s continued growth

Our migration to Vitess began in 2017 and Vitess now serves 99% of our overall query load. We expect to be fully migrated by the end of 2020. In this post, we will discuss the design considerations and technical challenges that went into choosing and adopting Vitess, as well as an overview of our current Vitess usage.

Availability, …

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Top n Window Function queries in MySQL

Top n Window Function queries over a specific subset of data are common in analysis and reporting requirements. Luckily, in MySQL, there are Window functions we can use for this type of query. To be quite honest, you don’t necessarily need Window Functions. You can retrieve those top 3 (or whatever) types of results with a regular SQL query. But, since we have those powerful Window Functions, why not use them? My thoughts exactly! Besides, no one wants a spaghetti code mess of SQL to try and understand. Not to mention, Window functions are often better optimized for querying larger data sets. Continue reading and see example queries for more understanding…

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