Connecting to MySQL 5.6 using TLSv1 on Ubuntu 20.04.1

Ubuntu 20.04 updated some security policies which has the effect that some connections might not work anymore. This happened for instance with connections to AWS Aurora 5.6 recently. Background AWS Aurora 5.6 only supports TLSv1 for encrypted connection. This TLS protocol version is considered insecure for some time now and has been disabled in Ubuntu 20.04 and MySQL Client 8 respectively. If MySQL configuration permits TLSv1, TLSv1.1, and TLSv1.2, but your host system configuration permits only connections that use TLSv1.

Setup a SSH tunnel in IntelliJ

There seems to be a problem with the older MySQL driver and IntelliJ Ultimate. When I tried to connect to a remote MySQL instance using a tunnel, IntelliJ would refuse to connect. IntelliJ would show an error similar to the following: Cannot connect to a database. Tried three times. The linked online help page was not really helpful. I could create the tunnel manually and verify the settings, all seemed fine.

Verifying Replication Consistency with Percona’s pt-table-checksum

Replication is an important concept for improving database performance and security. In this blog post, I would like to demonstrate how the consistency between a MySQL master and a slave can be verified. We will create two Docker containers, one for the master one for the slave. Installing the Percona Toolkit The Percona Toolkit is a collection of useful utilities, which can be obained for free from the company’s portal. The following commands install the prerequisits, download the package and eventually the package.

Using Hibernate Search with Spring Boot

Spring Boot is a framework, that makes it much easier to develop Spring based applications, by following a convention over configuration principle (while in contrast Spring critics claim that the framework’s principle is rather configuration over everything). In this article, I am going to provide an example how to achieve the following: Create a simple Web application based on Spring Boot Persist and access data with Hibernate Make it searchable with Hibernate Search (Lucine) I use Eclipse with a Gradle plugin for convenience.

Deploying MySQL in a Local Development Environment

Installing MySQL via apt-get is a simple task, but the migration between different MySQL versions requires planning and testing. Thus installing one central instance of the database system might not be suitable, when the version of MySQL or project specific settings should be switched quickly without interfering with other applications. Using one central instance can quickly become cumbersome. In this article, I will describe how any number of MySQL instances can be stored and executed from within a user’s home directory.

A MySQL 5.7 Cluster Based on Ubuntu 16.04 LTS – Part 2

In a recent article, I described how to setup a basic MySQL Cluster with two data nodes and a combined SQL and management node. In this article, I am going to highlight a hew more things and we are going to adapt the cluster a little bit. Using Hostnames For making our lives easier, we can use hostnames which are easier to remember than IP addresses. Hostnames can be specified for each VM in the file /etc/hosts.

A MySQL 5.7 Cluster Based on Ubuntu 16.04 LTS – Part 1

A Cluster Scenario In this example we create the smallest possible MySQL cluster based on four nodes running on three machines. Node 1 will run the cluster management software, Node 2 and Node 3 will serve as dats nodes and Node 4 is the MySQSL API, which runs on the same VM on Node 1.

Persistent Data in a MySQL Docker Container

Running MySQL in Docker In a recent article on Docker in this blog, we presented some basics for dealing with data in containers. This article will present another popular application for Docker: MySQL containers. Running MySQL instances in Docker allows isolating database infrastructure with ease. Connecting to the Standard MySQL Container The description of the MySQL docker image provides a lot of useful information how to launch and connect to a MySQL container.

Hikari Connection Pooling with a MySQL Backend, Hibernate and Maven

Conection Pooling? JDBC connection pooling is a great concept, which improves the performance of database driven applications by reusing connections. The benefit from connection pools is that the cost of creating and closing connections is avoided, by reusing connections from a pool of available connections. Database systems such as MySQL also assign database resources by limiting simultaneous connections. This is another reason, why connection pools have benefits in contrast to opening and closing individual connections.

Neue Rezension: iX 11/2015

Im iX Magazinfür professionelle Informationstechnik wurde unser Buch in der Ausgabe 11/2015 von Bernhard Röhrig rezensiert. Gelobt wurden fachliche Qualität, Umfang, Testdatenbank und Layout, Kritik gab es für das Verstreuen der Neuerungen sowie kleineren Detailangaben zu speziellen Features.

Neue Rezension: Linux Magazin – Alles über MySQL

Das Linux Magazin hat in seiner Ausgabe 09/2015 die folgende Rezension veröffentlicht: Dass dieses Buch wenige Fragen offen lassen will, machen schon seine Dimensionen deutlich: Über 800 Seiten ergeben einen soliden Wälzer. So stellen die Autoren ihren umfangreichen Erklärungen zu MySQL denn auch eine Einführung in das Thema Datenbanken an sich voran und machen den Leser mit den grundlegenden Techniken der Datenmodellierung bekannt. Im zweiten Teil geht es dann systematisch um die MySQL-Administration: Er erläutert die Architektur der Datenbank, die Installation und die Bordwerkzeuge nebst einem Abstecher zu den Themen Backup und Monitoring sowie die Performance-Optimierung im Hinblick auf Hardware und Konfiguration.