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Displaying posts with tag: proxysql (reset)
How to Persist a Hashed Format Password Inside ProxySQL

In this blog post, we will see how to persist the password inside the ProxySQL mysql_users table in hashed format only. Also, even if someone stored the password in cleartext, we see how to change those into the hashed format easily.

Here we are just highlighting one of the scenarios during work on the client environment where we noticed that the ProxySQL mysql_users table had more than 100 user entries, but some of them were available/inserted into the clear text password, whereas some were inserted properly into hashed entries.

Before just explaining those simple commands that were used to fix those clear text entries into the hashed entry quickly, let’s see some more information about the ProxySQL mysql_users table and the password formats.

Password formats inside ProxySQL

ProxySQL is capable of storing passwords in two different formats within the mysql_users.password

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ProxySQL for Short-Term Application Fixes

When talking about the benefits and use cases of ProxySQL with clients, one feature I generally reference is the query rewrite engine. This is a great feature that is often used for sharding (I’ve written about this in the past at Horizontal Scaling in MySQL – Sharding Followup). Another use case I reference is “temporary application fixes.” While this is definitely a valid use case, I hadn’t personally come across an issue in the wild where the application fix wasn’t trivial.

Recently, a client hit a case where pt-archiver wasn’t able to archive rows from a table that had a bit column as part of a primary key. This is certainly an edge case, but we had hoped the fix was trivial. Unfortunately, the root of the issue was around how the Perl DBI library quotes and handles the bit data type by default.

When …

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Comparisons of Proxies for MySQL

With a special focus on Percona Operator for MySQL


HAProxy, ProxySQL, MySQL Router (AKA MySQL Proxy); in the last few years, I had to answer multiple times on what proxy to use and in what scenario. When designing an architecture, many components need to be considered before deciding on the best solution.

When deciding what to pick, there are many things to consider, like where the proxy needs to be, if it “just” needs to redirect the connections, or if more features need to be in, like caching and filtering, or if it needs to be integrated with some MySQL embedded automation.

Given that, there never was a single straight answer. Instead, an analysis needs to be done. Only after a better understanding of the environment, the needs, and the evolution that the platform needs to achieve is it possible …

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Prevent ProxySQL from directing traffic to broken MySQL replica

ProxySQL is an open-source MySQL proxy server, meaning it serves as an intermediary between a MySQL server and the applications that access its databases. ProxySQL can improve performance by distributing traffic among a pool of multiple database servers.

Consider 2 slaves are routed under Proxysql , In any one of the slave, if the replication is broken, we could still see the traffic routing to the broken replication slave. We can make Proxy to not send traffic to broken replication slave, by setting appropriate value to the variable mysql-monitor_slave_lag_when_null

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High Memory Usage on ProxySQL Server

ProxySQL is a very useful tool for gaining high availability, load balancing, query routing, query caching, query rewriting, multiplexing, and data masking. It is a proven tool and is used largely in production. There can be an instance of ProxySQL using a lot of memory on the server. This post is related to one of the causes that can use memory on the ProxySQL server and how we handle it.


How do we know where the memory is getting used?

Proxysql has a stats database which we can see with an admin login. This database contains metrics gathered by ProxySQL concerning its internal functioning.

This post mostly talks about stats in MySQL query digest in ProxySQL.

Memory used by query digest can grow unlimited, and you can query the memory usage with the below query with an admin login. The memory usage is shown in bytes. 

MySQL [(none)]> select * from …
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ProxySQL Support for MySQL caching_sha2_password

Every day we use dozens if not hundreds of applications connecting to some kind of data repository. This simple step is normally executed over the network and, given so, it is subject to possible sniffing with all the possible related consequences.

Given that, it is normally better to protect your connection using data encryption like SSL, or at the minimum, make the information you pass to connect less easy to be intercepted.

At the same time, it is a best practice to not store connection credentials in clear text, not even inside a table in your database. Doing that is the equivalent of writing your password on a sticky note on your desk. Not a good idea.

Instead, the main options are either transforming the passwords to be less identifiable via hashing or storing the information in an external centralized vault.

In MySQL, the passwords are transformed to not be clear text, and several different plugins …

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Can not connect to ProxySQL: reasons and fixtures

This ProxySQL post is sourced from an error I faced recently ProxySQL has become one of the popular choice as the “proxy” for MySQL databases. This post is tipping you…

The post Can not connect to ProxySQL: reasons and fixtures first appeared on Change Is Inevitable.

Session Temporary Tablespaces and Disk Space Usage in MySQL

Temporary Tables handling in MySQL has a somewhat checkered past. Some time ago, my colleague Przemek wrote a post about differences in the implementations between versions of MySQL. If you are looking for the differences in implementation, that’s a perfect place to check.

In this post, I’d like to focus on Session Temporary Tablespaces, InnoDB on-disk internal temporary tables that come to play when a query requires storing more data than tmp_table_size or TempTable engine allocated more than …

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Failover comparison in Aurora MySQL 2.10.0 using proxySQL vs Aurora’s cluster endpoint


Aurora cluster promises a high availability solution and seamless failover procedure. However, how much is actually the downtime when a failover happens? And how proxySQL can help in minimizing the downtime ? A little sneak peek on the results ProxySQL achieves up to 25x less downtime and the impressive up to ~9800x less errors during unplanned failovers. How proxySQL achieves this: 

  1. Less downtime
  2. “Queueing” feature when an instance in a hostgroup becomes unavailable.

So what is ProxySQL? ProxySQL is a middle layer between the database and the application. ProxySQL protects databases from high traffic spikes, prevents databases from having high number of connections due to the multiplexing feature and minimizes the impact during planned/unexpected failovers or crashes of DBs. 

This blog will continue with measuring the impact of an unexpected …

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ProxySQL 2.3.0: Enhanced Support for MySQL Group Replication

ProxySQL 2.3.0 was recently released and when I was reading the release notes, I was really impressed with the Group Replication enhancements and features. I thought of experimenting with those things and was interested to write a blog about them. Here, I have focused on the following two topics:

  • When the replication lag threshold is reached, ProxySQL will move the server to SHUNNED state, instead of moving them to OFFLINE hostgroup. When shunning a server, it will be performed gracefully and not immediately drop all backend connections.
  • The servers can be taken to maintenance through ProxySQL using “OFFLINE_SOFT”.

Test Environment

To test this, I have configured a three-node GR cluster (gr1,gr2,gr3) in my local environment. I have configured a single primary cluster (1 writer, 2 readers).

mysql> select member_host,member_state,member_role,member_version from …
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