How to Deploy Open Source Databases
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Mysql Replication Tutorial
MySQL Replication Tutorial Lars Thalmann Technical lead Replication, Backup, and Engine Technology Mats Kindahl Lead Developer Replication Technology MySQL Conference and Expo 2008 Concepts 3 MySQL Replication Why? How? 1. High Availability Snapshots (Backup) Possibility of fail-over 1. Client program mysqldump 2. Load-balancing/Scale- With log coordinates out 2. Using backup Query multiple servers InnoDB, NDB 3. Off-site processing Don’t disturb master Binary log 1. Replication Asynchronous pushing to slave 2. Point-in-time recovery Roll-forward Terminology Master MySQL Server • Changes data • Has binlog turned on Master • Pushes binlog events to slave after slave has requested them MySQL Server Slave MySQL Server • Main control point of replication • Asks master for replication log Replication • Gets binlog event from master MySQL Binary log Server • Log of everything executed Slave • Divided into transactional components • Used for replication and point-in-time recovery Terminology Synchronous replication Master • A transaction is not committed until the data MySQL has been replicated (and applied) Server • Safer, but slower • This is available in MySQL Cluster Replication Asynchronous replication • A transaction is replicated after it has been committed MySQL Server • Faster, but you can in some cases loose transactions if master fails Slave • Easy to set up between MySQL servers Configuring Replication Required configuration – my.cnf Replication Master log-bin server_id Replication Slave server_id Optional items in my.cnf – What -
View Company Overview
Real Business Relies on MariaDB™ About MariaDB Milestones MariaDB frees companies from the costs, constraints and complexity of proprietary databases, enabling them to reinvest in what matters most – rapidly developing innovative, Oct 2014 MariaDB customer-facing applications. MariaDB uses pluggable, purpose-built storage engines to Corporation formed support workloads that previously required a variety of specialized databases. With complexity and constraints eliminated, enterprises can now depend on a single complete database for all their needs, whether on commodity hardware or their cloud of choice. Deployed in minutes for transactional or analytical use cases, MariaDB delivers unmatched operational agility without Jan 2015 MariaDB MaxScale 1.0 sacrificing key enterprise features including real ACID compliance and full SQL. Trusted by organizations such as Deutsche Bank, DBS Bank, Nasdaq, Red Hat, The Home Depot, ServiceNow and Verizon – MariaDB meets the same core requirements as proprietary databases Oct 2015 MariaDB at a fraction of the cost. No wonder it’s the fastest growing open source database. Server 10.1 MariaDB at a Glance Dec 2016 MariaDB ColumnStore 1.0 Tens of millions of users worldwide Amount saved by Fastest growing Growing partner $ M 70+ ecosystem 9 migrating from April 2017 1st user 1 database Oracle conference: M|17 Customers May 2017 MariaDB TX 2.0 MariaDB Solutions MariaDB Services MariaDB TX Remote DBA Migration Services MariaDB AX Enterprise Architect Consulting Nov 2017 MariaDB AX Technical Support Training -
Mariadb / Mysql for Web Developers
www.fromdual.com MariaDB / MySQL for Web Developers Web Developer Congress 2020, remote Oli Sennhauser Senior MariaDB & MySQL Consultant at FromDual GmbH https://www.fromdual.com/presentations 1 / 27 About FromDual GmbH www.fromdual.com Support Consulting remote-DBA Training 2 / 27 Contents www.fromdual.com MariaDB / MySQL for Web Developers ➢ Databases ➢ Connecting to the database ➢ Basic database queries (SELECT) ➢ Changing Data (DML) ➢ Transactions ➢ Error Handling and Debugging ➢ Joining Tables ➢ Indexing 3 / 27 What are databases for? www.fromdual.com ● Primarily: Relational DBMS (RDBMS) ● Storing Business Information: ● CRM, ERP, Accounting, Shop, Booking, etc. ● What are they NOT for (non optimal)? ● Logs → Files, Logstash ● Images, PDFs, huge texts → Filer, Solr ● Trash → Waste bin 4 / 27 Different types of databases www.fromdual.com ● Flat files, CSV, ISAM ● Hierarchical database ● Relational databases (RDBMS) ● Network databases ● Object Oriented databases (OODBMS) ● Object Relational DBMS (ORDBMS) ● Graph databases ● Column Stores (MariaDB CS) ● "Document" Stores (JSON, MongoDB) ● Wide Column Stores (Cassandra, HBase) 5 / 27 Common Relational DBMS www.fromdual.com ● MariaDB ● more in the Web-Client-Server field (LAMP) ● MySQL ● more in the Web-Client-Server field (LAMP) ● PostgreSQL ● more in the fat-Client-Server Business Software field ● SQLite ● Not a real "Client-Server-DBMS" → Library ● Embedded DBMS (Industry, Firefox, etc.) 6 / 27 Connection to the DBMS www.fromdual.com ● GUI (MySQL Workbench, HeidiSQL) ● CLI (mariadb, -
Beyond Relational Databases
EXPERT ANALYSIS BY MARCOS ALBE, SUPPORT ENGINEER, PERCONA Beyond Relational Databases: A Focus on Redis, MongoDB, and ClickHouse Many of us use and love relational databases… until we try and use them for purposes which aren’t their strong point. Queues, caches, catalogs, unstructured data, counters, and many other use cases, can be solved with relational databases, but are better served by alternative options. In this expert analysis, we examine the goals, pros and cons, and the good and bad use cases of the most popular alternatives on the market, and look into some modern open source implementations. Beyond Relational Databases Developers frequently choose the backend store for the applications they produce. Amidst dozens of options, buzzwords, industry preferences, and vendor offers, it’s not always easy to make the right choice… Even with a map! !# O# d# "# a# `# @R*7-# @94FA6)6 =F(*I-76#A4+)74/*2(:# ( JA$:+49>)# &-)6+16F-# (M#@E61>-#W6e6# &6EH#;)7-6<+# &6EH# J(7)(:X(78+# !"#$%&'( S-76I6)6#'4+)-:-7# A((E-N# ##@E61>-#;E678# ;)762(# .01.%2%+'.('.$%,3( @E61>-#;(F7# D((9F-#=F(*I## =(:c*-:)U@E61>-#W6e6# @F2+16F-# G*/(F-# @Q;# $%&## @R*7-## A6)6S(77-:)U@E61>-#@E-N# K4E-F4:-A%# A6)6E7(1# %49$:+49>)+# @E61>-#'*1-:-# @E61>-#;6<R6# L&H# A6)6#'68-# $%&#@:6F521+#M(7#@E61>-#;E678# .761F-#;)7-6<#LNEF(7-7# S-76I6)6#=F(*I# A6)6/7418+# @ !"#$%&'( ;H=JO# ;(\X67-#@D# M(7#J6I((E# .761F-#%49#A6)6#=F(*I# @ )*&+',"-.%/( S$%=.#;)7-6<%6+-# =F(*I-76# LF6+21+-671># ;G';)7-6<# LF6+21#[(*:I# @E61>-#;"# @E61>-#;)(7<# H618+E61-# *&'+,"#$%&'$#( .761F-#%49#A6)6#@EEF46:1-# -
Two Node Mysql Cluster
Two Node MySQL Cluster 1.0 EXECUTIVE SUMMARY This white paper describes the challenges CONTENTS involved in deploying the 2 node High Available MySQL-Cluster with a proposed solution. For the SECTION PAGE sake of users reading this document it also describes in brief the main components of the MySQL Cluster which are necessary to 1.0 EXECUTIVE SUMMARY………………………1 understand the paper overall. 2.0 BUSINESS CHALLENGES……………………1 The solution relies on the Linux HA framework 3.0 MYSQL CLUSTER……………………………..1 (Heartbeat/Pacemaker) so the white paper can 3.1 CLIENTS/APIS………………………………….2 be best understood with the knowledge of Linux 3.2 SQL NODE………………………………………2 HA framework. 3.3 DATA NODE…………………………………….2 3.4 NDB MANAGEMENT NODE………………….3 3.5 CHALLENGES………………………………….3 3.6 SOLUTION………………………………………4 4.0 REFERENCES………………………………….7 2.0 BUSINESS CHALLENGES The MySQL cluster demands at least 4 nodes to be present for deploying a High Available MySQL database cluster. The typical configuration of any enterprise application is a 2 Node solution (Active-Standby mode or Active-Active Mode). The challenge lies in fitting the MySQL Clsuter Nodes in the 2 Nodes offering the application services and to make it work in that configuration with no single point of failure. 3.0 MYSQL CLUSTER The intent of this section is to briefly mention the important actors and their roles in the overall MySQL Cluster. For more information the reader can refer to the MYSQL reference documents from its official site (http://dev.mysql.com/doc/index.html). MySQL Cluster is a technology that enables clustering of in-memory databases in a “shared-nothing system”. -
Mariadb Enterprise \& Mariadb Enterprise Cluster
MariaDB Enterprise & MariaDB Enterprise Cluster MariaDB Enterprise Cluster in Azure - Test Drive Contents About the Test Drive 2 What is MariaDB? 2 About MariaDB Enterprise Cluster in Azure 2 Architecture ................................................... 2 Objective .................................................... 2 Getting Started 3 Configure WordPress .............................................. 3 Administering MariaDB Enterprise Cluster ................................... 3 Connecting to MaxScale ......................................... 3 Scenario 1: Taking one MaxScale node offline .............................. 4 Scenario 2: Taking one MariaDB Cluster data node offline ....................... 5 1 MariaDB Enterprise Cluster in Azure - Test Drive 2 About the Test Drive Welcome to the MariaDB Enterprise Cluster + MariaDB MaxScale test drive in Microsoft Azure! In this 2 hour test drive, we will dive in and see what MariaDB Enterprise Cluster and MariaDB MaxScale can do. This guide walks you through the steps on how the High Availability (HA) properties of the MariaDB Enterprise Cluster + MariaDB MaxScale solution work in practice. What is MariaDB? MariaDB is the fastest growing Open Source database with more than 12 million users worldwide. It is the database of choice to power applications at companies like booking.com, HP,Virgin Mobile and Wikipedia. MariaDB is secure at the enterprise-level, highly reliable and trusted by the world’s leading brands. Its extensible, modern architecture at every layer in the database allows for flexible configuration that supports both traditional and emerging enterprise use cases. About MariaDB Enterprise Cluster in Azure MariaDB Enterprise Cluster extends MariaDB, the widely adopted, MySQL-compatible open source database with Galera clustering technology. MariaDB MaxScale offers connection- and statement-based load balancing. The MariaDB Enterprise Cluster + MariaDB MaxScale solution for Azure consists of a 3-node MariaDB Enterprise Cluster and dual MariaDB MaxScale nodes in a Highly Available (HA) configuration. -
Percona Xtradb Cluster Documentation Release 8.0.18-9.3
Percona XtraDB Cluster Documentation Release 8.0.18-9.3 Percona LLC and/or its affiliates 2009-2020 May 14, 2020 CONTENTS I Introduction3 II Getting Started9 III Features 33 IV PXC Security 47 V User’s Manual 61 VI How-tos 97 VII Reference 163 i ii Percona XtraDB Cluster Documentation, Release 8.0.18-9.3 Percona XtraDB Cluster is a database clustering solution for MySQL. It ensures high availability, prevents downtime and data loss, and provides linear scalability for a growing environment. Features of Percona XtraDB Cluster Feature Details Synchronous Data is written to all nodes simultaneously, or not written at all in case of a failure replication** even on a single node Multi-master replication Any node can trigger a data update. True parallel replication Multiple threads on slave performing replication on row level Automatic node You simply add a node and it automatically syncs. provisioning Data consistency No more unsynchronized nodes. PXC Strict Mode Avoids the use of experimental and unsupported features Configuration script for Percona XtraDB Cluster includes the proxysql-admin tool that automatically ProxySQL configures Percona XtraDB Cluster nodes using ProxySQL. Automatic configuration Percona XtraDB Cluster includes the pxc-encrypt-cluster-traffic of SSL encryption variable that enables automatic configuration of SSL encryption Optimized Performance Percona XtraDB Cluster performance is optimized to scale with a growing production workload Percona XtraDB Cluster 8.0 is fully compatible with MySQL Server Community Edition 8.0 and Percona Server for MySQL 8.0. See also: Overview of changes in the most recent Percona XtraDB Cluster release Important changes in Percona XtraDB Cluster 8.0 MySQL Community Edition https://www.mysql.com/products/community/ Percona Server for MySQL https://www.percona.com/doc/percona-server/LATEST/index.html How We Made Percona XtraDB Cluster Scale https://www.percona.com/blog/2017/04/19/ how-we-made-percona-xtradb-cluster-scale Data compatibility You can use data created by any MySQL variant. -
Percona Xtrabackup Provides
Percona XtraBackup provides: • Fast and reliable backups • Uninterrupted transaction processing during backups • Savings on disk space and network bandwidth with better compression • Automatic backup Percona XtraBackup verification You’re only as good as the tools you have to use. When it comes to your business, the • Higher uptime due to faster software tools you employ can be the difference between success and failure. restore time Percona’s suite of MySQL and MongoDB software and toolkits are a powerhouse of performance, the backbone of the organization. As a product of the open source Bringing immediate, noticeable community, our software has been tested by fire and proven resilient. and long lasting benefits to Percona XtraBackup is a free, open source, complete online backup solution for all meet your budget and needs. versions of Percona Server for MySQL, MySQL® and MariaDB®. With over 1,800,000 downloads, Percona XtraBackup performs online non-blocking, tightly compressed, highly secure backups on transactional systems so that applications remain fully available during planned maintenance windows. Percona XtraBackup is the world’s only open-source, free MySQL hot backup software that performs non-blocking backups for InnoDB and XtraDB databases. With Percona XtraBackup, you can achieve the following benefits: • Create hot InnoDB backups without pausing your database • Make incremental backups of MySQL • Stream compressed MySQL backups to another server • Move tables between MySQL servers on-line • Create new MySQL replication slaves easily • Backup MySQL without adding load to the server Percona XtraBackup makes MySQL hot backups for all versions of Percona Server for MySQL, MySQL, and MariaDB. It performs streaming, compressed, and incremental MySQL backups. -
Mariadb Presentation
THE VALUE OF OPEN SOURCE MICHAEL ”MONTY” WIDENIUS Entrepreneur, MariaDB Hacker, MariaDB CTO MariaDB Corporation AB 2019-09-25 Seoul 11 Reasons Open Source is Better than Closed Source ● Using open standards (no lock in into proprietary standards) ● Resource friendly; OSS software tend to work on old hardware ● Lower cost; Usually 1/10 of closed source software ● No cost for testing the full software ● Better documentation and more troubleshooting resources ● Better support, in many cases directly from the developers ● Better security, auditability (no trap doors and more eye balls) ● Better quality; Developed together with users ● Better customizability; You can also participate in development ● No vendor lock in; More than one vendor can give support ● When using open source, you take charge of your own future Note that using open source does not mean that you have to become a software producer! OPEN SOURCE, THE GOOD AND THE BAD ● Open source is a better way to develop software ● More developers ● More spread ● Better code (in many cases) ● Works good for projects that can freely used by a lot of companies in their production or products. ● It's very hard to create a profitable company developing an open source project. ● Not enough money to pay developers. ● Hard to get money and investors for most projects (except for infrastructure projects like libraries or daemon services). OPEN SOURCE IS NATURAL OR WHY OPEN SOURCE WORKS ● You use open source because it's less expensive (and re-usable) ● You solve your own problems and get free help and development efforts from others while doing it. -
Navicat Wine En.Pdf
Table of Contents Getting Started 8 System Requirements 9 Registration 9 Installation 10 Maintenance/Upgrade 11 End-User License Agreement 11 Connection 17 Navicat Cloud 18 General Settings 21 Advanced Settings 24 SSL Settings 27 SSH Settings 28 HTTP Settings 29 Server Objects 31 MySQL/MariaDB Objects 31 MySQL Tables 31 MySQL/MariaDB Table Fields 32 MySQL/MariaDB Table Indexes 34 MySQL/MariaDB Table Foreign Keys 35 MySQL/MariaDB Table Triggers 36 MySQL/MariaDB Table Options 37 MySQL/MariaDB Views 40 MySQL/MariaDB Functions/Procedures 41 MySQL/MariaDB Events 43 Oracle Objects 44 Oracle Data Pump (Available only in Full Version) 44 Oracle Data Pump Export 45 Oracle Data Pump Import 48 Oracle Debugger (Available only in Full Version) 52 Oracle Physical Attributes/Default Storage Characteristics 53 Oracle Tables 55 Oracle Normal Tables 55 Oracle Table Fields 55 Oracle Table Indexes 57 Oracle Table Foreign Keys 58 Oracle Table Uniques 59 Oracle Table Checks 59 Oracle Table Triggers 60 Oracle Table Options 61 Oracle External Tables 62 2 Fields for Oracle External Tables 62 External Properties for Oracle External Tables 63 Access Parameters for Oracle External Tables 64 Oracle Index Organized Tables 64 Options for Oracle Index Organized Tables 64 Oracle Views 65 Oracle Functions/Procedures 66 Oracle Database Links 68 Oracle Indexes 68 Oracle Java 71 Oracle Materialized Views 72 Oracle Materialized View Logs 75 Oracle Packages 76 Oracle Sequences 77 Oracle Synonyms 78 Oracle Triggers 78 Oracle Types 81 Oracle XML Schemas 82 Oracle Recycle Bin -
Index Selection for In-Memory Databases
International Journal of Computer Sciences &&& Engineering Open Access Research Paper Volume-3, Issue-7 E-ISSN: 2347-2693 Index Selection for in-Memory Databases Pratham L. Bajaj 1* and Archana Ghotkar 2 1*,2 Dept. of Computer Engineering, Pune University, India, www.ijcseonline.org Received: Jun/09/2015 Revised: Jun/28/2015 Accepted: July/18/2015 Published: July/30/ 2015 Abstract —Index recommendation is an active research area in query performance tuning and optimization. Designing efficient indexes is paramount to achieving good database and application performance. In association with database engine, index recommendation technique need to adopt for optimal results. Different searching methods used for Index Selection Problem (ISP) on various databases and resemble knapsack problem and traveling salesman. The query optimizer reliably chooses the most effective indexes in the vast majority of cases. Loss function calculated for every column and probability is assign to column. Experimental results presented to evidence of our contributions. Keywords— Query Performance, NPH Analysis, Index Selection Problem provides rules for index selections, data structures and I. INTRODUCTION materialized views. Physical ordering of tuples may vary from index table. In cluster indexing, actual physical Relational Database System is very complex and it is design get change. If particular column is hits frequently continuously evolving from last thirty years. To fetch data then clustering index drastically improves performance. from millions of dataset is time consuming job and new In in-memory databases, memory is divided among searching technologies need to develop. Query databases and indexes. Different data structures are used performance tuning and optimization was an area of for indexes like hash, tree, bitmap, etc. -
Amazon Aurora Mysql Database Administrator's Handbook
Amazon Aurora MySQL Database Administrator’s Handbook Connection Management March 2019 Notices Customers are responsible for making their own independent assessment of the information in this document. This document: (a) is for informational purposes only, (b) represents current AWS product offerings and practices, which are subject to change without notice, and (c) does not create any commitments or assurances from AWS and its affiliates, suppliers or licensors. AWS products or services are provided “as is” without warranties, representations, or conditions of any kind, whether express or implied. The responsibilities and liabilities of AWS to its customers are controlled by AWS agreements, and this document is not part of, nor does it modify, any agreement between AWS and its customers. © 2019 Amazon Web Services, Inc. or its affiliates. All rights reserved. Contents Introduction .......................................................................................................................... 1 DNS Endpoints .................................................................................................................... 2 Connection Handling in Aurora MySQL and MySQL ......................................................... 3 Common Misconceptions .................................................................................................... 5 Best Practices ...................................................................................................................... 6 Using Smart Drivers ........................................................................................................