Introduction

Fortran (FORmula TRANslating System) is a general-purpose, imperative programming language that is especially suited to numeric computation and scientific computing. History of FORTRAN can be tracked late 1953 when John W. Backus submitted a proposal to his superiors at IBM. The First FORTRAN compiler appeared in April 1957.

Some notable historical steps where:

• FORTRAN II in 1958
• FORTRAN III in 1958,
• FORTRAN IV in 1962.
• FORTRAN 66 or X3.9-1966 become the first industry-standard
• FORTRAN 77 or X3.9-1978. This is the version of the Fortran I learned 1996.
• Fortran 90 was released as ISO/IEC standard 1539:1991 and ANSI Standard in 1992
• Fortran 95 was released as ISO/IEC standard 1539-1:1997
• Fortan 2003 was released as ISO/IEC 1539-1:2004
…

Last  week, a SSL connection security vulnerability was reported for MySQL and MariaDB. The vulnerability states that since MariaDB and MySQL do not enforce SSL when SSL support is enabled, it’s possible to launch Man In The Middle attacks (MITM). MITM attacks can capture the secure connection and turn it into an insecure one, revealing data going back and forth to the server.

Issue resolution in MariaDB is visible through the corresponding ticket in MariaDB’s tracking system (JIRA): https://mariadb.atlassian.net/browse/MDEV-7937

The vulnerability affects the client library of the database server in both MariaDB and MySQL. But, the vulnerability does not affect all the libraries, drivers or connectors for establishing SSL connections with the server.

The vulnerability exists when the connection to the server is done through the client …

It’s been almost a year since I benchmarked MariaDB and MySQL on our good old 4 CPU / 32 Cores / 64 Threads Sandy Bridge server. There seem to be a few interesting things happened since that time.

• MySQL 5.6.23 peak throughput dropped by ~8% compared to 5.6.14. Looks like this regression appeared in MySQL 5.6.21.
• 10.0.18 (git snapshot) peak threads increased by ~20% compared to 10.0.9 and reached parity with 5.6.23 (not with 5.6.20 though).
• 10.1.4 (git snapshot) and 5.7.5 are the champions (though 10.1.4 was usually 1-5% faster). Both have similar peaks @ 64 threads. They seem to be pushing this system limits, since both have capacity to scale more.
• 5.7.6 has serious (~50%) scalability regression compared to 5.7.5. There is heavy LOCK_plugin mutex contention, which seem to be caused …

Introduction

For the moment, the only engines that fully support encryption are XtraDB and InnoDB. The Aria storage engine also supports encryption, but only for temporary tables.

MariaDB supports 2 different way to encrypt data in InnoDB/XtraDB:

1. Specified table encryption: Only tables which you create with PAGE_ENCRYPTION=1 are encrypted. This feature was created by eperi.
2. Tablespace encryption: Everything is encrypted (including log files). This feature was created by Google and is based on their MySQL branch.

InnoDB Specified Table Encryption

Specified Table encryption means that you choose which tables to encrypt. This allows you to balance security with speed. To use table encryption, you have …

Introduction

Causal consistency [1] is one of the consistency criteria that can be used on distributed databases as consistency criteria.

Distributed database provides causal consistency if read and write operations that are causally related are seen by every node of the distributed system in the same order. Concurrent writes may be seen in different order in diffrent nodes.  Causal consistency is waker than sequential consistency [2] but stronger than eventual consistency [3]. See earlier blog for more detailed description on eventual consistency https://blog.mariadb.org/eventually-consistent-databases-state-of-the-art/.

When a transaction performs a read operation followed later by a write operation, even on different object, the first read is said to be causally ordered before the write. This is because the …

Good bye bzr, welcome git!

After latest releases we moved development of MariaDB Connectors for C, ODBC and Java from launchpad to github.

The connector repositories can be found under https://github.com/MariaDB

Repository-Links:

• MariaDB Connector/C
• MariaDB Connector/J
• MariaDB Connector/ODBC

Feel free to watch, fork and contribute!

This year is just about over. It’s almost time to welcome 2015. In celebration of a fun year of sharing Sphinx-things, let’s review 2014′s most popular posts. 1: Use Sphinx With MySQL This one leads by a huge margin. Not a surprise. Many MySQL users get frustrated with MySQL’s native fulltext search after hitting a [...]

High season is coming, how do you make sure that MySQL will handle the increased load? Stress tests could help with that, but it’s not a good idea to run them in a production environment. In this case Select_scan, Select_full_join and other MySQL counters could quickly give you an idea of how many queries are not performing well and could cause a performance degradation as the load goes up.

Select_scan from SHOW GLOBAL STATUS indicates how many full table scans were done since last MySQL restart. Scanning the entire table is a resource intensive operation. It also forces MySQL to store unnecessary data in the buffer pool, wasting memory and IO resources.

Full scan of a tiny table would be quite fast so missing indexes could stay invisible until the load rises or the dataset grows up. This could also be the case for developers who work with too small data sets on their dev boxes. To prevent performance issues all newly added …

You can find a ‘Quick Usage Tour’ in our documentation. In this post, I’m going to walk you through that tour and elaborate on a few things. Enjoy! Things to consider I’m assuming you’ve already installed MySQL. Sphinx does not require that you use MySQL, but the following examples do. I’m installing Sphinx on Ubuntu [...]

MariaDB 10.1 server is now “Galera ready” with the latest 10.1.1 release. It includes wsrep (write set replication) patch that enables server to load the wsrep provider (galera) library and interact with it to provide multi-master synchronous replication support. The patch implements hooks inside server and storage engines to populate and apply the write sets on sender and receiver nodes in a cluster respectively. The wsrep patch also adds a number of system and status variables (prefixed with wsrep) that can be used to configure and monitor the server acting as a node in Galera cluster.

Unlike older MariaDB versions, the wsrep patch is now part of regular …