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Displaying posts with tag: Insight for DBAs (reset)
MySQL 101: Linux Tuning for MySQL

When trying to do some Linux tuning for MySQL, there are a few options that will greatly influence the speed of MySQL.  Below are some of the most important of these settings to help you get started.

Swappiness

The first thing to look at is what swappiness is set to.  This will determine the tendency of the kernel to swap out memory pages.  In may cases, you will want to set this to “1” to keep the swapping to a minimum.  A value of “0” will disable it entirely.

You can determine the current value with the following command:

cat /proc/sys/vm/swappiness

If this is not set to “1”, you should consider making the change by using one of the following options:

# Make sure you are root and set swappiness to 1 
echo 1 > /proc/sys/vm/swappiness

# Or, you can use sysctl to do the same sysctl 
vm.swappiness vm.swappiness = 1

If the change helps, you will want to …

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Preventing MySQL Error 1040: Too Many Connections

One of the most common errors encountered in the MySQL world at large is the infamous Error 1040:

ERROR 1040 (00000): Too many connections

What this means in practical terms is that a MySQL instance has reached its maximum allowable limit for client connections.  Until connections are closed, no new connection will be accepted by the server.

I’d like to discuss some practical advice for preventing this situation, or if you find yourself in it, how to recover.

Accurately Tune the max_connections Parameter

This setting defines the maximum number of connections that a MySQL instance will accept.  Considerations on “why” you would want to even have a max number of connections are based on resources available to the server and application usage patterns.  Allowing uncontrolled connections can crash a server, which may be considered “worse” than preventing further …

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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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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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MySQL Table Fragmentation: Beware of Bulk INSERT with FAILURE or ROLLBACK

Usually, database people are familiar with table fragmentation with DELETE statements. Whenever doing a huge delete, in most cases, they are always rebuilding the table to reclaim the disk space. But, are you thinking only DELETEs can cause table fragmentation? (Answer: NO).

In this blog post, I am going to explain how table fragmentation is happening with the INSERT statement.

Before going into the topic, we need to know that with MySQL, there are two kinds of fragmentation:

  • Fragmentation where some of the InnoDB pages are completely free inside the table.
  • Fragmentation where some of the InnoDB pages are not completely filled (the page has some free space).

There are three major cases of table fragmentation with INSERTs :

  • INSERT with ROLLBACK
  • Failed INSERT statement
  • Fragmentation with page-splits

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Brute-Force MySQL Password From a Hash

In most cases, MySQL password instructions provide information on changing MySQL user passwords on the production system (e.g., reset root password without restart). It is even recommended to change passwords regularly for security reasons. But still, sometimes DBA duties on legacy systems offer surprises and you need to recover the original password for some old users.

There is no magic: as long as only hashes are stored and not the original passwords, the only way to recover the lost password is to brute force it from the known hash.

Note on Security and mysql-unsha1 Attack

Interestingly, if a hacker has access to password hash and can sniff mysql traffic, he doesn’t need to recover a plain text password from it. It doesn’t matter how strong the password and how strong the hashing …

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MySQL Escaping on the Client-Side With Go

Day-to-day database operation requires, from an administrator, deep knowledge of db internals and security issues, in particular things like SQL injections. In order to prevent such kind of an attack, we have included go-sql-driver into our code for secure placeholder escaping.

Unfortunately, not all cases are secured by the driver.

In case we are using the standard driver for working with MySQL, if we need to pass a variable to the database query, we use a placeholder “?” in order for the server to understand that it needs to process the incoming variable to avoid injection. It works fine with just regular SELECT/INSERT/UPDATE statements, but, unfortunately, MySQL server is not able to process all types of queries.

For example:

db.Exec("CREATE USER ?@? IDENTIFIED BY ?", name, host, pass)

This query will return an error from the …

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SQL Query Formatting Tools Used At Percona

Percona engineers often need to analyze and review complex SQL database queries. Good formatting can make these SQL queries much easier to understand and work with. Without clear formatting, queries can become confusing and hard to debug.

Online query formatting services provide one set of solutions. Examples are Code Beautify, FreeFormatter, and sqlformat.org. However, many users are not comfortable sharing their queries with third-party services, especially if your SQL code contains confidential information.

This article examines alternatives to online tools for SQL query formatting tools that have been successfully used by Percona engineers. These solutions come in different types:

  1. Plug-ins to your code editor or …
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Backup and Restore in Percona Kubernetes Operator for Percona XtraDB Cluster

Database backups are a fundamental requirement in almost every implementation, no matter the size of the company or the nature of the application. Taking a backup should be a simple task that can be automated to ensure it’s done consistently and on schedule. Percona has an enterprise-grade backup tool, Percona XtraBackup, that can be used to accomplish these tasks. Percona also has a Percona Kubernetes Operator for Percona XtraDB Cluster (PXC Operator), which has Percona XtraBackup built into it. Percona XtraBackup has the ability for both automated and on-demand backups. Today we will explore taking backups and restoring these backups using the PXC Operator deployed …

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Tuning MySQL/InnoDB Flushing for a Write-Intensive Workload

In this post, the third in a series explaining the internals of InnoDB flushing, we’ll focus on tuning. (Others in the series can be seen at InnoDB Flushing in Action for Percona Server for MySQL and Give Love to Your SSDs – Reduce innodb_io_capacity_max!)

Understanding the tuning process is very important since we don’t want to make things worse or burn our SSDs. We proceed with one section per variable or closely-related variables. The variables are also grouped in sections based on the version of MySQL or Percona Server for MySQL where they are valid. A given variable may be present more …

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