MariaDB ColumnStore 1.0 supports User Defined Functions (UDF) for query extensibility. This allows you to create custom filters and transformations to suit any need. This blog will outline adding support for distributed querying of JSON data.
We are excited to announce MariaDB’s annual user conference, M|18, will take place February 26-27, 2018 in New York City at the Conrad Hotel. Call for papers is now open. If you are a leader in your space with expertise in operations and/or development and would like to share your knowledge with a global MariaDB audience, we invite you to submit a proposal to speak.
Multi-source replication is a handy way to simplify your high availability database setup – especially as compared to the regular MySQL replication approach. This blog post looks at how it works.
MariaDB ColumnStore is a GPLv2 open source columnar database built on MariaDB Server. It is a fork and evolution of the former InfiniDB. It can be deployed in the cloud (optimized for Amazon Web Services) or on a local cluster of Linux servers using either local or networked storage. In this blog post, I will show some examples of analysis of financial time series data using MariaDB ColumnStore.
Hyper-V is the native virtualization technology contained within Windows 10 Professional (and Windows Server & Windows 8 Pro). Using Hyper-V to create one or more virtual machines running Linux, it is possible to run and test multiple types of MariaDB ColumnStore deployment on a single Windows machine.
In this second installment of schema sharing with MariaDB MaxScale to combine SchemaRouter and ReadWriteSplit MaxScale routers, we'll go through the details of implementing it in order to shard databases among many pairs of master/slave servers.
Most of the time when you start a database design you don’t imagine how your applications need to scale. Sometimes, you need to shard your databases among some different hosts and then, on each shard you want to split reads and writes between master and slaves.
The 2.1.3 GA release of MariaDB MaxScale, introduces the following key features for the secure setup of MariaDB MaxScale Binlog Server:
The binlog cache files in the MaxScale host can now be encrypted.
MaxScale binlog server also uses SSL in communication with the master and the slave servers.
This blog covers how the binary log encryption works in MariaDB Server and in MariaDB MaxScale.
Today, a relational database like MariaDB Server (part of MariaDB TX) can read, write and query both structured and semi-structured data, together. MariaDB Server supports semi-structured data via dynamic columns and JSON functions. This blog post will focus on JSON functions with MariaDB Server, using examples to highlight one of they key benefits: data integrity.