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Reduce human interaction when using an asynchronous slave to a MySQL InnoDB Cluster

A MySQL replication topology can be very complex (never underestimate a DBA’s creativity). But it’s very frequent to use an asynchronous slave from your primary database to run reporting or logical backup… or any kind of read workload you need. It can also be used as delay slave for data restore purpose.

Once you decided to provide HA to your primary database by migrating to MySQL InnoDB Cluster, you can of course still need and use one or more asynchronous slaves.

You have then an architecture that looks like this :

So as you can notice, your asynchronous slave needs to pick one of the members of the cluster as master. However when this node that act as master crashes (or is stopped for maintenance) what’s happening ?

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Lock, Stock and MySQL Backups: Data Guaranteed Webinar Follow Up Questions

Hello again! On August 16, we delivered a webinar on MySQL backups. As always, we’ve had a number of interesting questions. Some of them we’ve answered on the webinar, but we’d like to share some of them here in writing.

What is the best way to maintain daily full backups, but selective restores omitting certain archive tables?

There are several ways this can be done, listed below (though not necessarily limited to the following):

  1. Using logical dumps (i.e., mydumper, mysqlpump, mysqldump). This allows you to dump per table and thus be able to selectively restore.
  2. Backup the important tables and archive tables separately, allowing to restore separately as well. This is a better …
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Percona Live Europe Featured Talks: Monitoring Open Source Databases with Icinga with Bernd Erk

Welcome to another post in our series of interview blogs for the upcoming Percona Live Europe 2017 in Dublin. This series highlights a number of talks that will be at the conference and gives a short preview of what attendees can expect to learn from the presenter.

This blog post is with Bernd Erk, CEO of Icinga. His talk is titled Monitoring Open Source Databases with Icinga. Icinga is a popular open source successor of Nagios that checks hosts and services, and notifies you of their statuses. But you also need metrics for performance and growth to deal with your scaling needs. Adding conditional behaviors …

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MySQL 8.0.1: [Recursive] Common Table Expressions in MySQL (CTEs), Part Four – depth-first or breadth-first traversal, transitive closure, cycle avoidance

I published a new CTE blog here.

Percona Live Europe Featured Talks: Visualize Your Data with Grafana Featuring Daniel Lee

Welcome to another post in our series of interview blogs for the upcoming Percona Live Europe 2017 in Dublin. This series highlights a number of talks that will be at the conference and gives a short preview of what attendees can expect to learn from the presenter.

This blog post is with Daniel Lee, a software developer at Grafana. His tutorial is Visualize Your Data With Grafana. This presentation teaches you how to create dashboards and graphs in Grafana and how to use them to gain insight into the behavior of your systems. In our conversation, we discussed how data visualization could benefit your database …

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Massive Parallel Log Processing with ClickHouse

In this blog, I’ll look at how to use ClickHouse for parallel log processing.

Percona is seen primarily for our expertise in MySQL and MongoDB (at this time), but neither is quite suitable to perform heavy analytical workloads. There is a need to analyze data sets, and a very popular task is crunching log files. Below I’ll show how ClickHouse can be used to efficiently perform this task. ClickHouse is attractive because it has multi-core parallel query processing, and it can even execute a single query using multiple CPUs in the background.

I am going to check how ClickHouse utilizes multiple CPU cores and threads. I will use a server with two sockets, equipped with “Intel(R) Xeon(R) CPU E5-2683 v3 @ 2.00GHz” in each. That gives a total of 28 CPU cores / 56 CPU threads.

To analyze workload, I’ll use an Apache log file from one of Percona’s servers. …

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cscope: Searching Code Efficiently

In this post, we will discuss how to search code with the help of cscope. Let’s begin by checking its description and capabilities (quoting directly from http://cscope.sourceforge.net/):

Cscope is a developer’s tool for browsing source code.

  • Allows searching code for:
    • all references to a symbol
    • global definitions
    • functions called by a function
    • functions calling a function
    • text string
    • regular expression pattern
    • a file
    • files including a file
  • Curses based (text screen)
  • An …
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Log Buffer #521: A Carnival of the Vanities for DBAs

While cloud technologies are roaring ahead in full force; the traditional RDBMS like Oracle, Microsoft SQL Server and MySQL are adapting pretty fast. This Log Buffer Edition covers blogs related to that and more.

Oracle:

Oracle JET Simple Table with Fake JSON Server

Every time any page is requested from your website by a human or another program or an automated bot, the event is tracked in a log file that is stored on the web server.

Gitora 2 enabled developers to manage database objects that support the CREATE OR REPLACE command, namely PACKAGES, PROCEDURES, FUNCTIONS, TRIGGERS, VIEWS, …

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Upcoming Webinar September 14, 2017: Supercharge Your Analytics with ClickHouse

Join Percona’s CTO Vadim Tkachenko @VadimTk and Altinity’s Co-Founder, Alexander Zaitsev as they present Supercharge Your Analytics with ClickHouse on Thursday, September 14, 2017, at 10:00 am PDT / 1:00 pm EDT (UTC-7).

Reserve Your Spot

 

ClickHouse is a real-time analytical database system. Even though they’re only celebrating one year as open source software, it has already proved itself ready for serious …

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Updating InnoDB Table Statistics Manually

In this post, we will discuss how to fix cardinality for InnoDB tables manually.

As a support engineer, I often see situations when the cardinality of a table is not correct. When InnoDB calculates the cardinality of an index, it does not scan the full table by default. Instead it looks at random pages, as determined by options innodb_stats_sample_pages, innodb_stats_transient_sample_pages and innodb_stats_persistent_sample_pages, or …

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