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Analyzing MySQL with strace

In this blog post, we will briefly explore the OS tool strace. It is not widely used due to its performance impacts, and we don’t recommend using it in production. Still, it is amazing at helping you understand some things that happen in MySQL, where the OS is involved, and as a last case resource for troubleshooting.

The strace tool intercepts and records any system calls (a.k.a.  syscalls) performed and any signals received by a traced process. It is excellent for complex troubleshooting, but beware, as it has a high-performance impact for the traced process.

We start our exploration with a simple question: what are the files opened in the OS when you issue FLUSH LOGS in MySQL? We could look at the documentation, but we decided to find out using strace.

For that, we started a MySQL lab instance and …

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Security Tasks: Looking for existing bad or guessable passwords.

So you running MySQL with the validate_password plugin. What about existing users and their passwords? How do you check that those passwords are ok and aren’t bad like ‘123456’ or easily guessable like ‘Tuesday2020!’? and how do you fix them. … Continue reading →

MySQL InnoDB Cluster Setup with Replication between 2 InnoDB Clusters

This is tutorial to setup 2 innodb clusters and create Replication using REPLICATION FILTER to define replication channel across 2 InnoDB Cluster.

Background
InnoDB Cluster setup is commonly found within a Data Center (DC1) where the network is good and reliable.   Having another Datacenter for DR purpose, set up of another InnoDB Cluster with Replication is an example.   To allow MySQL Replication to be successfully created between 2 InnoDB Clusters, the following items must be considered carefully :

1. InnoDB Cluster when it is created, there is mysql_innodb_cluster_metadata schema which stores the state and information about the 'cluster'.  The 2 InnoDB Clusters in 2 DCs are different.  The state information within the 'mysql_innodb_cluster_metadata' is different per each of the InnoDB Cluster.   MySQL Replication may bring the data update to metadata from DC1 …

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InnoDB Cluster with MySQL Server 5.7 & MySQL-Shell & Router 8.0

MySQL Server 8.0 has introduced numerous advancements in an ongoing, release by release basis. This includes features such as Multi-Value Indexes, Provisioning InnoDB Cluster 8.0 members using CLONE, among other things in 8.0.17 …. as well other MySQL enhancements such as the addition of InnoDB ReplicaSets, bootstrapping mysql-router using --account to re-use a current MySQL User for Router… Read More »

Percona Server for MySQL Highlights – Extended Slow Query Logging

Last year, I made the first post in a small series, which aimed to highlight unique features of Percona Server for MySQL, by discussing binlog_space_limit option.

Today, I am going to discuss another important type of log available in MySQL that is enhanced in Percona Server for MySQL – the slow query log. The reason why I am doing this is that although this extension has existed since the very early times of versions 5.1 (over 10 years ago!), many people are still unaware of it, which I see from time to time when working with Support customers.

Default Slow Log Inadequacy

How many times have you been wondering why, whilst reviewing slow query logs, the very same query occasionally runs way slower than usual? There may be many reasons for that, but the standard slow …

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21 Parameter Group Values to Change in Amazon RDS for MySQL

Amazon RDS for MySQL uses many default values for system variables, but it also sets a few “sys vars” with different values. As with any database, neither product (MySQL) nor provider (AWS) defaults can best suite all use cases. It’s our responsibility to carefully review and set every important system variable. This is tedious and difficult, but I’ve done it for you. Below are are 21 MySQL 5.7 system variables that I recommend changing by creating a new parameter group.

21 Parameter Group Values to Change in Amazon RDS for MySQL

Amazon RDS for MySQL uses many default values for system variables, but it also sets a few “sys vars” with different values. As with any database, neither product (MySQL) nor provider (AWS) defaults can best suite all use cases. It’s our responsibility to carefully review and set every important system variable. This is tedious and difficult, but I’ve done it for you.

Below are are 21 MySQL 5.7 system variables that I recommend changing by creating a new parameter group. This presumes new RDS instances; some of these sys vars cannot be changed easily after provisioning MySQL. This only applies to RDS for MySQL, not Amazon Aurora.

21 Parameter Group Values to Change in Amazon RDS for MySQL

Amazon RDS for MySQL uses many default values for system variables, but it also sets a few “sys vars” with different values. As with any database, neither product (MySQL) nor provider (AWS) defaults can best suite all use cases. It’s our responsibility to carefully review and set every important system variable. This is tedious and difficult, but I’ve done it for you. Below are are 21 MySQL 5.7 system variables that I recommend changing by creating a new parameter group.

MySQL 8.0.20 JDBC

In April, when I updated from MySQL 8.0.17 to MySQL 8.0.19, I found that my Java connection example failed. That’s because of a change in the JDBC driver, which I blogged about then. Starting yesterday, I began updating a base Fedora 30 configuration again to MySQL 8.0.20. I wrote a testing program for the Java JDBC file last time, and when I ran it this time it told me that I didn’t have the JDBC driver installed, or in the $CLASSPATH. My Java diagnostic script, MySQLDriver.java, returned the following error message:

Error: Could not find or load main class MySQLDriver

The Java JDBC test program code is in the prior post. It simply loads the user, password, database, host, and port statically for my student …

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Webinar July 9 – Modern Solutions for Modern Database Load: MySQL 8.0 and Percona

Join Sveta Smirnova, MySQL Engineer at Percona, as she discusses modern solutions for modern database loads.

MySQL is famous for working well in high performing environments. This is the reason why it is the most popular backend for web applications. But our view of what to call high-performance changes over the cycles. Every year we get faster data transfer speed; more devices, connected to the Internet; more users and, as a result, more data.

The challenges MySQL developers have to solve are getting harder over time.

In this session, Sveta will show how use-case scenarios are changing over 25 years of MySQL history. She will show what did MySQL engineers do to keep the product up to date and cover topics such as handling a large number of active connections and high volumes of data as well as how the latest MySQL versions handle increased load better.

After attending this …

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