In the last quarter of 2021, AWS released Aurora version 3. This new version aligns Aurora with the latest MySQL 8 version, porting many of the advantages MySQL 8 has over previous versions.

While this brings a lot of new interesting features for Aurora, what we are going to cover here is to see how DDLs behave when using the ONLINE option. With a quick comparison with what happens in MySQL 8 standard and with Group Replication.

Tests

All tests were run on an Aurora instance r6g.large with a secondary availability zone. The test was composed of:

        Four connections

• • #1 to perform DDL
  • #2 to perform insert data in the table I am altering
  • #3 to perform insert data on a different table 
  • #4 checking the other node operations

In the Aurora instance, a …

When one is responsible for promoting application development from Dev through the various environments such as QA, UAT, etc., through Production, it is often useful to ensure that configurations in test environments are comparable to the final production environment.  This is especially true with systems where a team of DBAs manage the servers.

Obviously, the difference in performance could be due to differences in hardware, storage, networking, software configuration, etc.  The question is how does one quickly and efficiently find the differences without having to run a lot of different commands and compare the output.  Fortunately, our Percona Toolkit has a couple of utilities that can make this much easier.  When you are tasked with supporting large numbers of servers, efficiency is paramount and this is where the toolkit can really help you!

You can find more information on the Percona Toolkit here: …

As a best practice before dropping a large table in MySQL, pt-archiver can be used to delete all the records in batches. This helps to avoid a situation where your server may get stalled under certain circumstances.

I recently read a comment from a user saying “The pt-archiver is not working as expected! It is skipping the last record, which seems like a bug.”. Let’s examine pt-archiver’s default behavior and understand why the author of this comment believes that pt-archiver is bugged (Spoiler: It’s not!).

But wait, before continuing on busting the blame, let me clarify why to use pt-archiver before dropping large tables.

When we drop a table in MySQL:

• Table data/index (ibd) and definition (frm) files are removed.
• Triggers are removed.
• Table definition cache is updated by removing the table being dropped.
• InnoDB buffer pool is scanned for associated pages to …

Ingress is a resource that is commonly used to expose HTTP(s) services outside of Kubernetes. To have ingress support, you will need an Ingress Controller, which in a nutshell is a proxy. SREs and DevOps love ingress as it provides developers with a self-service to expose their applications. Developers love it as it is simple to use, but at the same time quite flexible.

High-level ingress design looks like this: 

1. Users connect through a single Load Balancer or other Kubernetes service
2. Traffic is routed through Ingress Pod (or Pods for high availability)
   • There are multiple flavors of Ingress Controllers. Some use nginx, some envoy, or other proxies. See a curated list of Ingress Controllers here.
3. Based on HTTP headers traffic is routed …

Abstract:

By diving into the details of our case study, we will explain how incorrect table statistics may lead the optimizer to choose a suboptimal execution plan. We will also go into how MySQL calculates the table statistics and the ways to correct the table statistics to prevent it from happening again.

Case study: Incorrect table statistics lead the optimizer to choose a poor execution plan.

A customer reported a drastic performance degradation of a query while there were no code changes and no configuration changes made. The data in this article has been edited for brevity and modified to mitigate the exposure of confidential information. The case has also been approved for publication by the customer.

We obtained the query execution plan, and got the results as shown below (execution plan #1):

mysql> explain 
-> SELECT count(con.id)          ,
->        MAX(DAYNAME(con.date)) ,
-> …

Last month I performed a review of the Percona Operator for MySQL Server which is still Alpha.  That operator is based on Percona Server for MySQL and uses standard asynchronous replication, with the option to activate semi-synchronous replication to gain higher levels of data consistency between nodes. 

The whole solution is composed as:

Additionally, Orchestrator (https://github.com/openark/orchestrator) is used to manage the topology and the settings to enable on the replica nodes, the semi-synchronous flag if required. While we have not too much to say when using standard Asynchronous replication, I want to write a few words on the needs …

Do you wonder if MySQL tells you the truth about writes to tables that have foreign key constraints? The situation is complex, and getting visibility on what is really happening can be a problem.

I found this issue intriguing and decided to share and highlight some examples.

Query Plan

Let us take this example table:

CREATE TABLE `product` (
  `category` int NOT NULL,
  `id` int NOT NULL,
  `price` decimal(10,0) DEFAULT NULL,
  PRIMARY KEY (`category`,`id`)
) ENGINE=InnoDB;

We want to know how costly an example UPDATE against this table will be:

mysql > EXPLAIN update product set id=id+1 where id=65032158 and category=3741760\G
*************************** 1. row ***************************
           id: 1
  select_type: UPDATE
        table: product
   partitions: NULL
         type: range
possible_keys: PRIMARY
          key: PRIMARY
      key_len: 8
          ref: const,const
         rows: 1 …

MySQL Shell For VS Code integrates the MySQL Shell directly into VS Code development workflows and was released last week. This extension to the popular VS Code platform enables interactive editing and execution of SQL for MySQL Databases and optionally the MySQL Database Service for several simultaneous sessions.  It is a preview release and not ready for production but it does have several features that may make the MySQL GUI of choice.

Installation

The installation itself is easy but you will need to download the code from here and not the usual places for MySQL products.  You will, of course, have to have VS Code installed first, and be warned that some of the more tantalizing links for things like documentation are not connected.

MySQL Shell for VS Code installation screen and yes, you will need VS Code installed first.

Usage

The interface is familiar to that of MySQL Workbench but …

The utf8mb4 character set is the new default as of MySQL 8.0, and this change neither affects existing data nor forces any upgrades.

Migration to utf8mb4 has many advantages including:

• It can store more symbols, including emojis
• It has new collations for Asian languages
• It is faster than utf8mb3

Still, you may wonder how migration affects your existing data. This blog covers multiple aspects of it.

Storage Requirements

As the name suggests, the maximum number of bytes that one character can take with character set utf8mb4 is four bytes. This is larger than the requirements for utf8mb3 which takes three bytes and many other MySQL character sets.

Fortunately, utf8mb3 is a subset of …

For a very long part of its history, MySQL replication has been limited in terms of performance. Because there was no way of knowing if transactions or updates were independent, the updates had to be executed on a replica following the exact same sequence of operations as on the primary server. The only way to guarantee the same sequence of operations on the replica was to use a single thread. In this post, we’ll do a dive into the MySQL multi-threaded replication (MTR) implementation and explore the available tuning options.

MTR is the culmination of the evolution in the development of parallel replication which followed the path:

1. Single-threaded replication
2. Per-database replication
3. Logical clock replication

We’ll leave aside, for now, the recent dependency tracking feature.

Context

Before we discuss the multi-threaded implementation, let’s review in …