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Debug, secure, and back up your data for optimum server performance with MariaDB About This BookMonitor database activity and the major operating system parameters to improve performanceTweak the behaviour of a large number of servers to achieve the desired level of stability and reliabilitySolve the typical problems related to running a server, such as slow queries, long locks, and so onA practical guide to implementing MariaDB to administrate servers and improve their performanceWho This Book Is ForThis book is intended for intermediate users who want to learn how to administrate a MariaDB server or a set of servers. It is aimed at MariaDB users, and hence working knowledge of MariaDB is a prerequisite. In Detail MariaDB is a community-driven fork of MySQL, and is a relational DBMS that can be used to build reliable, high-performance database servers. MariaDB combines MySQL characteristics such as replication, backup and disaster recovery, transactions and locks, and also includes important improvements to the performance, stability, security, and monitoring capabilities.Mastering MariaDBstarts with an overview of the basic features and mechanisms, which includes diagnosing and solving real-life problems such as data corruption, poorly performing queries, and deadlocks. You will learn how to improve the performance of a server by identifying slow queries, and how to choose and set up a proper backup plan and recover data when disasters occur. You will learn how to share your data through several servers using replication. By the end of this book, you will be able to configure MariaDB servers, diagnose as well as troubleshoot common transactional problems, and execute database maintenance.

This article examines the advantages and disadvantages of installing Moodle's popular learning management system using MySQL, MariaDB, Apache, and Internet Information Services. It considers the impact of these choices on performance, database server speed, and cyber security, which is critical for dealing with many users and students whose numbers have increased dramatically since the onset of the global pandemic caused by the SARS-CoV-2 virus. It has been determined that IIS/MariaDB represents the optimal configuration for Windows-based systems, while Apache/MySQL is optimal for Linux distributions. The selection of specific solutions should be based on the particular needs of the educational institution in question, the available infrastructure, and the financial capabilities of the institution in question. MariaDB's functionality is enhanced by including the Galera Cluster, which offers a higher throughput than MySQL's. Both IIS and Apache have some advantages and disadvantages. The decision to use one or the other is made based on the choice of operating system.

Dalam penelitian ini dilakukan pengujian kinerja query antara database MySQL dan MariaDB dengan jumlah record data (50, 100, 500, 1000, 5000, 10000, 100000) . Query yang diujiadalah : DML (Data Manipulation Language) terdiri dari insert, update, select. Agr e gat function terdiri dari average, count, max, min, sum. Operator penghubung (Operator AND OR). Stored Procedure dan Trigger . Penelitian ini bertujuan untuk memberikan analisis perbandingan kinerja antara MySQL dan MariaDB. Database MySQL dan MariaDB mempunya i kecepatan waktu yang berbeda dalam perbandingan kinerja query dengan jumlah record data dari 50 record hingga 100000 record data. Database MySQL terbukti memiliki keunggulan kecepatan waktu dibanding MariaDB pada pengujian stored procedure. Perbedaan yang sangat signifikan terjadi pada jumlah 100000 record data. P ada pengujian T rigger Event Insert MariaDB lebih unggul dibandingkan dengan MySQL , p erbedaan yang signifikan terjadi pada pengujian 100000 record data. Pengujian Trigger Event Update MariaDB lebih unggul dibanding dengan MySQL, perbedaan yang sangat signifikan terjadi pada pengujian 10000 record data .

Abstract Research to test the performance of inner joint queries between MariaDB and the PostgreSQL database management system. Inner joint queries have the same output in MariaDB and PostgreSQL DBMS. This study aims to provide a comparative analysis of the response time performance of MariaDB and PostgreSQL databases in the use of inner join queries. The research test was conducted with 1,050,000 records using 21 response time data collection scenarios ranging from 50,000 data to 1,050,000 data collection with multiples of 50,000 data. The PostgreSQL DBMS was found to have better response times than MariaDB in all test scenarios. The results of the regression analysis to test the effect of using the F-test show that there is a significant effect on the amount of data and the relationship together on the response time in MariaDB and PostgreSQL. Then the T-test is carried out to strengthen the results of the study that PostgreSQL has a faster response time than MariaDB, testing 1 combined relationship shows a significant difference, testing 2 combined relationships shows a significant difference and testing 3 combined relationships shows a significant difference.

Moodle is a widely used Learning Management System in various educational institutions worldwide. However, frequent reports on internet forums indicate performance degradation when massive simultaneous users access Moodle. One of the most resource-intensive components supporting Moodle is the database, as all user-accessed data is stored in it. This study aims to optimize Moodle’s performance through distributed databases. Distributing the database into multiple database servers allows the database load to be distributed across all the database servers, resulting in an overall improvement in Moodle performance. This study compares the performance of Moodle installed on a single server with that installed on multiple database servers. Various testing parameters are employed to get valid results. Namely, course read, course write, and database performance, utilizing the server performance plugin available in Moodle. This research reveals a performance improvement of 384% in course read, 193% in course write, and 260% in the Moodle database in the multi-server scenario compared to the single-server scenario. This result validates that the database is the most crucial part of Moodle.

Along with the use of information technology in almost all sectors of life, making databases has a very important role in being able to store and process large amounts of data effectively, and high performance is required when processing the database. The Nosql database is widely used in managing very large amounts of data besides that it is also an open source database, but so far many still use the mysql database which is an open source DBMS and has many communities. This paper will compare the performance between a relational database that stores structured data (Sql) and a database with a dynamic and unstructured schema (Nosql). Specifically the database being compared between MariaDB and MongoDB. An experiment will be carried out by performing a query insert, update, delete on the two databases, with the number of records of 500, 1000, 5000, 7500 and 10000, besides that, it is also tested for a select query without criteria, with 1 criterion and 2 criteria. And from the experiments conducted it can be concluded that for insert, update and delete queries on a single NoSQL table has a much better response time. Whereas the select query without NoSQL criteria also has a better response time, but to display all data with criteria, especially the two database criteria, the SQL version has a better response time than NoSQL.

Build fast, secure, and interactive web applications using this comprehensive guide Overview Learn how to construct scalable and secure web applications Utilize PHP and MariaDB to architect and create data-driven web applications Numerous real-time scenarios have been implemented as examples that will lead to a better understanding of how web applications are handled In Detail Starting with a quick refresher of the PHP language and MariaDB database, readers will explore concepts such as unit testing, session authentication and management, permissions engine, caching, security, and performance optimization. Building a Web Application with PHP and MariaDB: A Reference Guide begins with basic and advanced programming techniques in both PHP and MariaDB, followed by specialized operations such as working with files and directories. Next, you will be introduced to the concept of REST, and how principles of REST are applied to host XML and JSON feeds for others to consume. This book will show readers how to build a web application that will be an online book store. This would leverage a logging system that keeps a track of the activity that is going on in the application.This book will help a beginner to learn the basics of object-oriented programming with PHP and help a seasoned expert to understand the intricacies of securing and speeding up their web applications. What you will learn from this book Grasp basic as well as advanced programming techniques with PHP and MariaDB Perform CRUD operations, aggregations, filtering, and joins Execute DDL operations and work with stored procedures, stored routines, and triggers Employ concepts of object-oriented programming in PHP Get acquainted with the latest features offered by PHP 5.4 and 5.5 Work with unit testing Conduct file operations and logging with PHP Implement authentication and ACLs Improve performance optimization and security Approach This is a step-by-step, tutorial guide designed to help readers transition from beginners to more experienced developers using clear explanations. The variety of examples will help readers build, secure, and host real-time web applications.

Background: Relational databases have been a prevalent technology for decades, using SQL (Structured Query Language) to manage data. However, the emergence of new technologies, such as the web and the cloud, has brought the requirement to handle more complex data. NewSQL is the latest technology that incorporates the ability to scale and ensures the availability of NoSQL (Not Only SQL) without losing the ACID properties (Atomicity, Consistency, Isolation, Durability) associated with relational databases. Methods: We evaluated CockroachDB, MariaDB Xpand, and VoltDB with OSSpal methodology and experimentally using the Star Schema Benchmark (SSB). The scalability and performance capabilities of each database were assessed. Results: Applying the OSSpal methodology, the results showed that MariaDB Xpand outperformed CockroachDB and VoltDB. On the other hand, we concluded that with Star Schema Benchmark, CockroachDB had better scalability, while VoltDB had a faster query execution time. Conclusions: CockroachDB and VoltDB are the best performing databases in terms of scalability and performance.

Information and data are increasing and has rapid growth as we now are in big data era. Database management system becomes a major part of data centers. This paper compared the performance of an open source database management system between MySQL and MariaDB. The testing environment is Xen 4.4 virtual machine using OLTP-Simple and OLTP-Seats as the benchmark data. Our experiment results show that MySQL has significantly better performance than MariaDB. MySQL performance rate are doubled at 1,000 threads of OLTP-Simple with 4 workers of OLTP-Seats while the resource consuming were similar in all cases. Therefore, MySQL version 5.6 has better performance than MariaDB version 10.0.21.

Walk away from old-fashioned and cumbersome query approaches and answer your business intelligence questions through simple and powerful queries built on common table expressions (CTEs) and window functions. These new features in MariaDB and MySQL help you to write queries without having to wade through a quagmire of brittle self-joins and other crazy techniques from the past. Your queries will generate correct results, be more readable and less brittle in the face of unexpected data, and you’ll be able to adapt them quickly in the face of changing business requirements. MariaDB and MySQL Common Table Expressions and Window Functions Revealed introduces and explains CTEs and window functions, newly available in MariaDB 10.2 and MySQL 8.0, and helps you understand why and how every MariaDB and MySQL database programmer should learn and apply these features in their daily work. CTEs and especially window functions enable easy solutions to many query challenges that in prior releases have been difficult and sometimes impossible to surmount. Mastering these features opens the door to query solutions that are more robust, execute faster, and are easier to maintain over time than prior solutions using older techniques. The book: Takes you step-by-step through the workings of common table expressions and window functions Provides easy-to-follow examples of the new syntax Helps you answer business questions faster and easier than ever What You'll Learn: Answer business questions using simple queries that don’t break in the face of unexpected data Avoid writing queries that are a difficult-to-maintain quagmire of self-joins and nested subqueries Recognize situations that call for window functions, and learn when to use these features Reduce the need for performance-robbing self-joins Simplify and speed the execution of analytical queries Create queries that finish in seconds instead of hours.

A practical, hands-on, beginner-friendly guide to installing and using MariaDB.Getting Started with MariaDB is for anyone who wants to learn more about databases in general or MariaDB in particular. No prior database experience is required. It is assumed that you have basic knowledge of software installation, editing files with a text editor, and using the command line and terminal.

MariaDB is a community-developed fork of the MySQL relational database management system and originally designed and implemented to use traditional spinning disk architecture. Now that devices with Non-Volatile memory (NVM) technologies are available, MariaDB addresses this challenge by adding support for NVM devices and introduces NVM Compression method. NVM Compression is a novel hybrid technique that combines application level compression with flash awareness for optimal performance and storage efficiency. Utilizing new interface primitives exported by Flash Translation Layers (FTLs), we leverage the garbage collection available in flash devices to optimize the capacity management required by compression systems. We implement NVM Compression in the popular MariaDB database and use variants of commonly available POSIX file system interfaces to provide the extended FTL capabilities to the user space application. The experimental results show that the hybrid approach of NVM Compression can improve compression performance by 2-7x, deliver compression performance for flash devices that is within 5% of uncompressed performance, improves storage efficiency by 19% over legacy Row-Compression, reduce data writes by up to 4x when combined with other flash aware techniques such as Atomic Writes, and deliver further advantages in power efficiency and CPU utilization.

Implements a DBI-compliant interface to MariaDB (&lt;<a href="https://mariadb.org/" target="_top">https://mariadb.org/</a>&gt;) and MySQL (&lt;<a href="https://www.mysql.com/" target="_top">https://www.mysql.com/</a>&gt;) databases.

A database server called the Database Management System (DBMS) that relates tables in a database is called the Relational Database Management System (RDBMS). DBMS/RDBMS is a computer program that provides data services for computers or other computer programs. One of the RDBMS type database server (hereinafter referred to as a database server) is MariaDB. The database server is in charge of managing and providing data, so data must always be ready, fast presented, accurate, and safe, it cannot be damaged or even lost. One way to provide this data is to install several database servers using the concept of replication in the Multiple Server Database system. Replication in a cluster server database is a method of installing several database server nodes that allow between node servers to copy each other and distribute data from one node to another database server node, which then synchronizes data between server nodes to maintain data consistency. This study looks for the most optimal number of minimal database server nodes to provide accurate, fast and safe data on the MariaDB Cluster RDBMS. From the results of the replication test from the cluster server database, it can be concluded that the number of 3 (three) node servers can be known to always synchronize and consistency of data between server nodes, so there are 3 (three) nodes of minimum database node with MariaDB RDBMS.

As discussed in Chapter 4 in regard to the initial deployment of their MariaDB solution at Financial Widgets Plus (FWP) and keeping with the KISS principle, the team chose to stand up a stand-alone environment with replication. Using this as the basis for their proof of concept work turned out to enable them to get an active MariaDB environment deployed quickly and easily in order to validate what they had already perceived as a viable solution to their database solution alternative. Once the proof of concept was complete, the team then went on to deploy a much more robust high availability solution. Here we will get into detail on the setup and deployments as completed by Vernon’s team, to get them familiar with the database solution by enabling them to rapidly deploy and then extend their MariaDB footprint. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Dengan memanfaatkan satelit LAPAN yang membawa payload Automatic Identification System (AIS) untuk melakukan identifikasi terhadap kapal yang melintasi wilayah jangkauan satelit LAPAN, maka setiap harinya bisa didapatkan ratusan ribu data. Setelah data AIS diunduh dari satelit, harus dilakukan proses decoding terlebih dahulu agar data bisa dimanfaatkan. Setelah proses decoding, data AIS akan terbagi menjadi beberapa file. Kemudian data dalam file tersebut disimpan ke dalam database MariaDB. Dalam hal pemrosesan data sangat dipengaruhi juga dengan tipe database yang digunakan yaitu SQL atau NoSQL. Jika tipe database yang digunakan tidak tepat maka pemrosesan data tidak akan efisien, akan memakan banyak waktu dan membutuhkan sumber daya yang lebih banyak. Oleh karena itu, penulis melakukan penelitian untuk memberikan perbandingan database PostgreSQL, MariaDB dan MongoDB dalam hal kinerja. Sehingga diharapkan developer bisa menggunakan tipe database yang sesuai dengan kebutuhan. Penulis membuat aplikasi menggunakan JAVA untuk membandingkan kinerja PostgreSQL, MariaDB dan MongoDB dalam memproses 1.000.000 data AIS. Setelah dilakukan pengujian, MongoDB unggul dalam proses menyisipkan data. Sementara PostgreSQL unggul dalam proses menampilkan dan menyeleksi data.

A clusterização é um assunto comum dentro dos data centers. A informação é um dos bens mais valiosos nos dias atuais e os dados são a matéria prima para tal. Desta forma o acesso a informação precisa estar sempre disponível e em segurança. A segurança é primordial, desde o seu nível de acesso, até a sua disponibilidade e é na disponibilidade que este artigo fala. Os data centers trabalham com sistemas de redundância e balanceamento de carga e empregam isso para oferecer um serviço melhor na nuvem, sistemas On-Premises também podem oferecer serviços específicos da mesma forma. Esses sistemas contam com serviços que variam entre alta disponibilidade, balanceamento de carga e alto desempenho, em um aglomerado de hosts chamado cluster. O MariaDB é um banco de dados de código aberto que oferece uma clusterização através do Galera Cluster, será mostrado de forma prática a sua instalação e configuração de um cluster de alta disponibilidade com balanceamento de carga em máquinas virtuais em um hardware Desktop. Este artigo nasceu como um braço da pesquisa que o autor desenvolve na instituição de Ensino Superior, a Faculdade de Tecnologia de Tatuí-SP - Prof. Wilson R. R. de Camargo cujo título é “Utilização de software livre para clusterização e virtualização de servidores”.

This article describes design and development of MariaDb Maxscale robust and easy extendable test automation tool - MariaDB Continuous Integration (MDBCI). For determining optimal architecture a comparison of analogs and a detailed review of existing solution is given. Developed instrument is described and discussed in details in order to determine its extendability level. For proving robustness the comparison on a specific use case between MDBCI and Vagrant as a base of an existing solution was performed.

El almacenamiento de información en las bases de datos es un tema importante para toda organización, en la actualidad. Son los Sistemas Gestores de Bases de Datos conocidos como SGDB encargados de ocultar la complejidad que conlleva la administración de las base de datos. Es común que cada día sean almacenados millones de datos más aún porque en la actualidad existen nuevas tendencias y exigencias para el procesamiento de grandes volúmenes de datos a gran velocidad. Por lo tanto, es indispensable que los SGBD tengan un correcto rendimiento para hacer frente a estas nuevas exigencias. El presente trabajo muestra los resultados obtenidos al realizar pruebas de rendimiento en los Sistemas Gestores de Base de Datos MariaDB y PostgreSQL, aplicando la arquitectura de tres capas para los escenarios de prueba. Ambos SGBD son potentes y muy utilizados por diferentes sistemas. Los resultados obtenidos están relacionados con la cantidad de peticiones por segundo procesadas por estos sistemas. En este caso, MariaDB fue superior que PostgreSQL a medida que aumentó la cantidad de usuarios que realizaban en diferentes escenarios gracias a sus motores de búsqueda que generan mejores velocidades para el procesamiento de datos.