InnoDB Cluster Experience (MySQL User Camp)Mydbops
This presentation was taken at the MySQL user Camp -Bangalore ( May -2018 ). It is our observation with a client on the Migration to InnoDB cluster ( MySQL 5.7 ).
ProxySQL is a popular database proxy for MySQL/MariaDB servers. This focuses on the possible High availability options for ProxySQL and operations of inbuilt clustering feature in ProxySQL. This tech talk was presented at Mydbops Database Meetup on 27-04-2019 by Aakash M, Database Administrator with Mydbops and Vignesh Prabhu, Database Administrator with Mydbops.
The document discusses MariaDB 5.5 and the future of MariaDB, noting that MariaDB aims to be a drop-in replacement for MySQL that is fully compatible but with additional features; it provides an overview of MariaDB's history and major releases from 5.1 to 5.5; and it outlines some of MariaDB's goals and plans for the future, including the 10.0 release and incorporating additional storage engines.
This slide was presented at Mydbops Database Meetup 4 by Aakash M . This presentation focuses the new features in Galera like Streaming replication and intelligent donor selection.
Event: Mywebinar (Mydbops)
Topic:
High Availability with InnoDB Cluster (This presentation deals with the transaction flow in InnoDB Cluster and how it can be deployed on a WAN based network for High Availability.)
Presenter: Karthik P R (Founder / CEO - Mydbops )
MySQL InnoDB Cluster provides a complete, high-availability solution for MySQL. Learn how with a few easy-to-use Shell commands, how to set up a MySQL database architecture.
InnoDB Cluster Experience (MySQL User Camp)Mydbops
This presentation was taken at the MySQL user Camp -Bangalore ( May -2018 ). It is our observation with a client on the Migration to InnoDB cluster ( MySQL 5.7 ).
ProxySQL is a popular database proxy for MySQL/MariaDB servers. This focuses on the possible High availability options for ProxySQL and operations of inbuilt clustering feature in ProxySQL. This tech talk was presented at Mydbops Database Meetup on 27-04-2019 by Aakash M, Database Administrator with Mydbops and Vignesh Prabhu, Database Administrator with Mydbops.
The document discusses MariaDB 5.5 and the future of MariaDB, noting that MariaDB aims to be a drop-in replacement for MySQL that is fully compatible but with additional features; it provides an overview of MariaDB's history and major releases from 5.1 to 5.5; and it outlines some of MariaDB's goals and plans for the future, including the 10.0 release and incorporating additional storage engines.
This slide was presented at Mydbops Database Meetup 4 by Aakash M . This presentation focuses the new features in Galera like Streaming replication and intelligent donor selection.
Event: Mywebinar (Mydbops)
Topic:
High Availability with InnoDB Cluster (This presentation deals with the transaction flow in InnoDB Cluster and how it can be deployed on a WAN based network for High Availability.)
Presenter: Karthik P R (Founder / CEO - Mydbops )
MySQL InnoDB Cluster provides a complete, high-availability solution for MySQL. Learn how with a few easy-to-use Shell commands, how to set up a MySQL database architecture.
MySQL InnoDB Cluster - New Features in 8.0 Releases - Best PracticesKenny Gryp
MySQL InnoDB Cluster provides a complete high availability solution for MySQL. MySQL Shell includes AdminAPI which enables you to easily configure and administer a group of at least three MySQL server instances to function as an InnoDB cluster.
This talk includes best practices.
High performance and high availability proxies for MySQLMydbops
This is presented at LSPE meet up on 17-06-2017.
ProxySQL and MaxScale are the next-generation database proxy that manages security, scalability, high availability and data streaming in scale-out deployments
ProxySQL and MaxScale have been most widely adapted in industry these days. They can be used in smaller platforms to bigger platforms. The Objective of this talk is to make awareness about the next-gen database proxies and their value addition.
MaxScale is an open-source, highly scalable, and transparent load balancing solution for MySQL and MariaDB databases. It acts as a proxy between applications and databases, authenticating clients, routing queries, and monitoring database nodes. MaxScale supports features like read/write splitting, connection load balancing, and filtering of queries through extensible plugin modules. Typical use cases include balancing read loads across database replicas and distributing connections among nodes in a Galera cluster.
MySQL Database Architectures - InnoDB ReplicaSet & ClusterKenny Gryp
This document provides an overview and comparison of MySQL InnoDB Cluster and MySQL InnoDB ReplicaSet. It discusses the components, goals, and features of each solution. MySQL InnoDB Cluster uses Group Replication to provide high availability, automatic failover, and data consistency. MySQL InnoDB ReplicaSet uses asynchronous replication and provides availability and read scaling through manual primary/secondary configuration and failover. Both solutions integrate MySQL Shell, Router, and automatic member provisioning for easy management.
This document summarizes a presentation about MySQL Group Replication. The presentation discusses how Group Replication provides enhanced high availability for MySQL databases by allowing multiple MySQL servers to act as equal masters that can handle writes and remain available even if one server fails. It covers the theory behind Group Replication, how to configure and use it, and management of Group Replication deployments.
Slides from the MySQL Cluster 8.0 tutorial given at MySQL preFOSDEM days in Brussels, January 2020.
There is an accompanying text file with commands and example output.
This document discusses configuring and implementing a MariaDB Galera cluster for high availability on 3 Ubuntu servers. It provides steps to install MariaDB with Galera patches, configure the basic Galera settings, and start the cluster across the nodes. Key aspects covered include state transfers methods, Galera architecture, and important status variables for monitoring the cluster.
[db tech showcase Tokyo 2014] B15: Scalability with MariaDB and MaxScale by ...Insight Technology, Inc.
Scalability with MariaDB and MaxScale talks about MariaDB 10, and MaxScale, a pluggable router for your queries. These are technologies developed at MariaDB Corporation, made opensource, and will help scale your MariaDB and MySQL workloads
The document discusses best practices for Galera Cluster, a synchronous multi-master replication solution for MySQL/InnoDB. It covers topics like dealing with conflicts in a multi-master setup, performing state transfers when adding new nodes, different backup methods that assign a global transaction ID, and techniques for upgrading schemas in a clustered environment.
The document summarizes new features in MySQL 5.5 and 5.6. Some key points:
- MySQL 5.5 improved InnoDB performance, added new monitoring tools, and supported features like multi-buffer pools.
- MySQL 5.6 focused on improvements to replication like GTIDs for easier management, multi-threaded slaves for performance, and crash-safe replication.
- Other new features included online DDL support and transportable InnoDB tables to move data between servers.
MariaDB 5.5 and what comes next - Percona Live NYC 2012Colin Charles
MariaDB 5.5 was a major release in April 2012 that included an open-source thread pool for better performance on multi-CPU servers, SELECT LIMIT ROWS EXAMINED for more efficient queries, and XtraDB as the default storage engine. Future plans discussed included MariaDB 10.0 and integrating additional features from Percona Server like query filtering and slow log verbosity controls. The presentation provided an overview of recent MariaDB releases and new features as well as community involvement and support.
Slides used for the webinar: Introducing Galera 3.0 - Now supporting MySQL 5.6, Global Transaction IDs & WAN.
These slides covered the section: Galera Monitoring & Management
Setting up and maintaining a database cluster can be tricky. ClusterControl gives you the power to deploy, manage, monitor and scale entire clusters efficiently and reliably. ClusterControl supports a variety of SQL and NoSQL cluster topologies, as well as SQL load balancing via HAProxy.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
MySQL High Availability with Group ReplicationNuno Carvalho
MySQL Group Replication is a multi-master update everywhere replication plugin that provides high availability. It removes the need for handling server failover, provides fault tolerance, and automates group reconfiguration. Transactions are replicated to all group members, with conflicts detected and resolved using a first committer wins rule. Failed members automatically rejoin the group and synchronize with the others transparently. Group Replication uses the standard MySQL and InnoDB architecture, so existing users will feel familiar. It also supports features like auto-increment handling, GTIDs, secure connections, and a new single primary mode.
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
MySQL replication has evolved a lot in 5.6 ,5.7 and 8.0. This presentation focus on the changes made in parallel replication. It covers MySQL 8.0. It was presented at Mydbops database meetup on 04-08-2016 in Bangalore.
Percona XtraBackup is an open-source tool for performing backups of MySQL or MariaDB databases. It can create full, incremental, compressed, encrypted, and streaming backups. For full backups, it copies data files and redo logs then runs crash recovery to make the data consistent. Incremental backups only copy changed pages by tracking log sequence numbers. The backups can be prepared then restored using copy-back or move-back options.
MariaDB is a community-developed, drop-in replacement for MySQL that aims to be fully compatible without compromising on features or stability. Over the past 32 months, MariaDB has released four major versions with new features like improved replication, optimization enhancements, and storage engines. It is led by many of the original developers of MySQL and has a large community of contributors working to advance it as a better open source database.
This document summarizes a talk given by Michael "Monty" Widenius about reasons to switch to MariaDB 10.0 from MySQL 5.5 or MariaDB 5.5. The talk addresses why MariaDB was created, features of MariaDB releases, benchmarks, the role of the MariaDB foundation, and reasons to switch. It provides information on the MariaDB foundation goals of developing and distributing MariaDB openly. It outlines many new features in MariaDB 10.0 including new storage engines, replication features, functionality, and improvements in areas like speed, optimization, and usability.
MySQL InnoDB Cluster - New Features in 8.0 Releases - Best PracticesKenny Gryp
MySQL InnoDB Cluster provides a complete high availability solution for MySQL. MySQL Shell includes AdminAPI which enables you to easily configure and administer a group of at least three MySQL server instances to function as an InnoDB cluster.
This talk includes best practices.
High performance and high availability proxies for MySQLMydbops
This is presented at LSPE meet up on 17-06-2017.
ProxySQL and MaxScale are the next-generation database proxy that manages security, scalability, high availability and data streaming in scale-out deployments
ProxySQL and MaxScale have been most widely adapted in industry these days. They can be used in smaller platforms to bigger platforms. The Objective of this talk is to make awareness about the next-gen database proxies and their value addition.
MaxScale is an open-source, highly scalable, and transparent load balancing solution for MySQL and MariaDB databases. It acts as a proxy between applications and databases, authenticating clients, routing queries, and monitoring database nodes. MaxScale supports features like read/write splitting, connection load balancing, and filtering of queries through extensible plugin modules. Typical use cases include balancing read loads across database replicas and distributing connections among nodes in a Galera cluster.
MySQL Database Architectures - InnoDB ReplicaSet & ClusterKenny Gryp
This document provides an overview and comparison of MySQL InnoDB Cluster and MySQL InnoDB ReplicaSet. It discusses the components, goals, and features of each solution. MySQL InnoDB Cluster uses Group Replication to provide high availability, automatic failover, and data consistency. MySQL InnoDB ReplicaSet uses asynchronous replication and provides availability and read scaling through manual primary/secondary configuration and failover. Both solutions integrate MySQL Shell, Router, and automatic member provisioning for easy management.
This document summarizes a presentation about MySQL Group Replication. The presentation discusses how Group Replication provides enhanced high availability for MySQL databases by allowing multiple MySQL servers to act as equal masters that can handle writes and remain available even if one server fails. It covers the theory behind Group Replication, how to configure and use it, and management of Group Replication deployments.
Slides from the MySQL Cluster 8.0 tutorial given at MySQL preFOSDEM days in Brussels, January 2020.
There is an accompanying text file with commands and example output.
This document discusses configuring and implementing a MariaDB Galera cluster for high availability on 3 Ubuntu servers. It provides steps to install MariaDB with Galera patches, configure the basic Galera settings, and start the cluster across the nodes. Key aspects covered include state transfers methods, Galera architecture, and important status variables for monitoring the cluster.
[db tech showcase Tokyo 2014] B15: Scalability with MariaDB and MaxScale by ...Insight Technology, Inc.
Scalability with MariaDB and MaxScale talks about MariaDB 10, and MaxScale, a pluggable router for your queries. These are technologies developed at MariaDB Corporation, made opensource, and will help scale your MariaDB and MySQL workloads
The document discusses best practices for Galera Cluster, a synchronous multi-master replication solution for MySQL/InnoDB. It covers topics like dealing with conflicts in a multi-master setup, performing state transfers when adding new nodes, different backup methods that assign a global transaction ID, and techniques for upgrading schemas in a clustered environment.
The document summarizes new features in MySQL 5.5 and 5.6. Some key points:
- MySQL 5.5 improved InnoDB performance, added new monitoring tools, and supported features like multi-buffer pools.
- MySQL 5.6 focused on improvements to replication like GTIDs for easier management, multi-threaded slaves for performance, and crash-safe replication.
- Other new features included online DDL support and transportable InnoDB tables to move data between servers.
MariaDB 5.5 and what comes next - Percona Live NYC 2012Colin Charles
MariaDB 5.5 was a major release in April 2012 that included an open-source thread pool for better performance on multi-CPU servers, SELECT LIMIT ROWS EXAMINED for more efficient queries, and XtraDB as the default storage engine. Future plans discussed included MariaDB 10.0 and integrating additional features from Percona Server like query filtering and slow log verbosity controls. The presentation provided an overview of recent MariaDB releases and new features as well as community involvement and support.
Slides used for the webinar: Introducing Galera 3.0 - Now supporting MySQL 5.6, Global Transaction IDs & WAN.
These slides covered the section: Galera Monitoring & Management
Setting up and maintaining a database cluster can be tricky. ClusterControl gives you the power to deploy, manage, monitor and scale entire clusters efficiently and reliably. ClusterControl supports a variety of SQL and NoSQL cluster topologies, as well as SQL load balancing via HAProxy.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
MySQL High Availability with Group ReplicationNuno Carvalho
MySQL Group Replication is a multi-master update everywhere replication plugin that provides high availability. It removes the need for handling server failover, provides fault tolerance, and automates group reconfiguration. Transactions are replicated to all group members, with conflicts detected and resolved using a first committer wins rule. Failed members automatically rejoin the group and synchronize with the others transparently. Group Replication uses the standard MySQL and InnoDB architecture, so existing users will feel familiar. It also supports features like auto-increment handling, GTIDs, secure connections, and a new single primary mode.
MySQL Replication Performance Tuning for Fun and Profit!Vitor Oliveira
MySQL Replication, in addition to bringing high-availability, is the foundation to build high-performance MySQL database systems. Using read scale-out and sharding one can design systems that go from the capacity of a single server to supporting the largest internet sites. But to design and operate high-performance, efficient, manageable and reliable deployments requires knowing the intricacies of the underlying technologies.
This session will provide insights on the main factors that affect the performance of Asynchronous Replication and Group Replication, and how to configure them to make the most out of the underlying computing system. It will also show the latest developments in MySQL 5.7 and 8.0, in areas spanning from group communication to the multi-threaded slave applier, and how effective they are in helping meet the performance requirements in terms of throughput, latency and durability to support the most demanding workload types.
MySQL replication has evolved a lot in 5.6 ,5.7 and 8.0. This presentation focus on the changes made in parallel replication. It covers MySQL 8.0. It was presented at Mydbops database meetup on 04-08-2016 in Bangalore.
Percona XtraBackup is an open-source tool for performing backups of MySQL or MariaDB databases. It can create full, incremental, compressed, encrypted, and streaming backups. For full backups, it copies data files and redo logs then runs crash recovery to make the data consistent. Incremental backups only copy changed pages by tracking log sequence numbers. The backups can be prepared then restored using copy-back or move-back options.
MariaDB is a community-developed, drop-in replacement for MySQL that aims to be fully compatible without compromising on features or stability. Over the past 32 months, MariaDB has released four major versions with new features like improved replication, optimization enhancements, and storage engines. It is led by many of the original developers of MySQL and has a large community of contributors working to advance it as a better open source database.
This document summarizes a talk given by Michael "Monty" Widenius about reasons to switch to MariaDB 10.0 from MySQL 5.5 or MariaDB 5.5. The talk addresses why MariaDB was created, features of MariaDB releases, benchmarks, the role of the MariaDB foundation, and reasons to switch. It provides information on the MariaDB foundation goals of developing and distributing MariaDB openly. It outlines many new features in MariaDB 10.0 including new storage engines, replication features, functionality, and improvements in areas like speed, optimization, and usability.
Webinar Slides: MySQL HA/DR/Geo-Scale - High Noon #5: Oracle’s InnoDB ClusterContinuent
Oracle’s InnoDB Cluster vs. Continuent Tungsten Clusters for MySQL
Building a Geo-Distributed, Multi-Region and Highly Available MySQL Cloud Back-End
This is the fifth of our High Noon series covering MySQL clustering solutions for high availability (HA), disaster recovery (DR), and geographic distribution.
InnoDB Cluster uses MySQL’s group replication to handle the replication. It’s also known as semi-synchronous replication. Learn about this and more in this webinar!
You may use Tungsten Clustering with native MySQL, MariaDB or Percona Server for MySQL in GCP, AWS, Azure, and/or on-premises data centers for better technological capabilities, control, and flexibility. But learn about the pros and cons!
AGENDA
- Goals for the High Noon Webinar Series
- High Noon Series: Tungsten Clustering vs Others
- Oracle InnoDB Cluster
- Key Characteristics
- Certification-based Replication
- InnoDB Cluster Multi-Site Requirements
- Limitations Using InnoDB Cluster
- How to do better MySQL HA / DR / Geo-Distribution?
- InnoDB Cluster vs Tungsten Clustering
- About Continuent & Its Solutions
PRESENTER
Matthew Lang - Customer Success Director – Americas, Continuent - has over 25 years of experience in database administration, database programming, and system architecture, including the creation of a database replication product that is still in use today. He has designed highly available, scaleable systems that have allowed startups to quickly become enterprise organizations, utilizing a variety of technologies including open source projects, virtualization and cloud.
MySQL Scalability and Reliability for Replicated EnvironmentJean-François Gagné
This summary provides an overview of the key points from the document:
1. The document is a presentation on MySQL replication scalability and reliability given at dataops.barcelona in June 2019. It covers topics like introduction to replication, use cases for replication like read scaling and high availability, and best practices.
2. The presentation provides an overview of MySQL replication including what it is, why you would use it, and how it works at a high level. It also discusses tools for monitoring and visualizing replication topology.
3. Challenges like replication lag are discussed along with techniques to prevent and address lag, such as transaction design practices and throttling. Advanced topics like parallel replication are also mentioned.
MySQL Scalability and Reliability for Replicated EnvironmentJean-François Gagné
You have a working application that is using MySQL: great! At the beginning, you are probably using a single database instance, and maybe – but not necessarily – you have replication for backups, but you are not reading from slaves yet. Scalability and reliability were not the main focus in the past, but they are starting to be a concern. Soon, you will have many databases and you will have to deal with replication lag. This talk will present how to tackle the transition.
We mostly cover standard/asynchronous replication, but we will also touch on Galera and Group Replication. We present how to adapt the application to become replication-friendly, which facilitate reading from and failing over to slaves. We also present solutions for managing read views at scale and enabling read-your-own-writes on slaves. We also touch on vertical and horizontal sharding for when deploying bigger servers is not possible anymore.
Are UNIQUE and FOREIGN KEYs still possible at scale, what are the downsides of AUTO_INCREMENTs, how to avoid overloading replication, what are the limits of archiving, … Come to this talk to get answers and to leave with tools for tackling the challenges of the future.
MariaDB is an open-source relational database management system that was created to be more open and community-focused than its predecessor, MySQL. It was founded in 2009 by the original developers of MySQL after Oracle acquired Sun Microsystems. MariaDB aims to preserve the open nature of MySQL by using an open governance model and keeping its code open source under GPL. It has become the default database in several major Linux distributions and is available on major cloud platforms. MariaDB provides an enterprise-grade database with high availability, performance, scalability and security features.
Redis provides better performance than Memcached as a cache backend for Magento. Testing showed Redis handled 50,000 cache records in 6 hours compared to Memcached handling over 10 million in the same time. Full page cache performance tests found Redis was 17-20% faster than Memcached. While Redis has some limitations, its support for tagging, replication, and larger object sizes make it a more reliable and scalable alternative to Memcached for Magento caching.
This document summarizes a talk about the MySQL Operator for InnoDB Cluster on Kubernetes. It discusses the trend of running databases on Kubernetes using operators, the need for operators to handle stateful applications like databases, and an overview of the Oracle MySQL Operator including its architecture, features, maturity level, and a demonstration of setting it up.
MySQL InnoDB Cluster: High Availability Made Easy!Vittorio Cioe
InnoDB Cluster represents the present and the future of High-Availability technologies for MySQL! It has been developed to remove from the discussion all the "BUT" which used to arised when we were speaking about high-availability with MySQL. Now, with quasi-automated deployment, fully automated failover and conflict resolution, designing, implementing and maintaing your highly-available MySQL infrastructure is a really no-stress operation!
20190817 coscup-oracle my sql innodb cluster sharingIvan Ma
The document provides an agenda for a presentation on MySQL InnoDB Cluster. It discusses MySQL replication components, demonstrating MySQL InnoDB Cluster, network stability, operations, backup and recovery, GTID consistency, replication between clusters, and troubleshooting. It also covers MySQL innovations from version 5.7 to 8.0 and options for configuring an InnoDB Cluster, including consistency settings and member weights.
MySQL Replication Evolution -- Confoo Montreal 2017Dave Stokes
MySQL Replication has evolved since the early days with simple async master/slave replication with better security, high availability, and now InnoDB Cluster
MariaDB 10 and what's new with the projectColin Charles
This document provides an overview of MariaDB 10.0 and what's new compared to previous versions. Some of the key highlights include backporting features from MySQL 5.6 such as InnoDB, Performance Schema, and online ALTER TABLE. MariaDB 10.0 also includes new features like multi-source replication, persistent statistics, and integration with NoSQL databases. The goals are to have feature parity with MySQL 5.6 and provide an open source alternative to Oracle's MySQL with more active development.
This document summarizes MariaDB 10.0 and what's new in the project. It provides an overview of MariaDB's history and goals of being compatible with MySQL. Key features of MariaDB 10.0 include backported features from MySQL 5.6, new features like multi-source replication, and engines for Cassandra and LevelDB. The roadmap is to have parity with MySQL 5.6 by MariaDB 10.1 while continuing to enhance and expand the feature set. Community involvement and the new MariaDB Foundation are discussed.
MySQL InnoDB Cluster provides an integrated high availability and auto-sharding solution for MySQL databases. It consists of Group Replication, MySQL Router, and MySQL Shell. Group Replication coordinates a group of MySQL servers and provides automatic failover. MySQL Router provides transparent client connection routing and failover. MySQL Shell is used to setup, manage, and orchestrate the cluster. The document provides examples of how to deploy a simple three node MySQL InnoDB Cluster using MySQL Shell and demonstrates its high availability capabilities including automatic failover and recovery of nodes.
ConFoo MySQL Replication Evolution : From Simple to Group ReplicationDave Stokes
MySQL Replication has been around for many years but how wee do you under stand it? Do you know about read/write splitting, RBR vs SBR style replication, and InnoDB cluster?
MariaDB 10.2 & MariaDB 10.1 by Michael Monty Widenius at Database Camp 2016 @ UN✔ Eric David Benari, PMP
This document summarizes features in MariaDB 10.1 and 10.2. It discusses how MariaDB was created to ensure a free and community developed version of MySQL always exists. It provides overviews of the MariaDB foundation and goals. It also summarizes many new features and improvements in areas like performance, replication, security and more.
MariaDB - Fast, Easy & Strong - Get Started Tutorialphamhphuc
MariaDB - Fast, Easy & Strong - Get Started Guide. You can understand why you should use MariaDB and how easy to install it for your server. Let 's enjoy!!!
Migrate your EOL MySQL servers to HA Complaint GR Cluster / InnoDB Cluster Wi...Mydbops
This talk focuses on the challenges and strategies to be followed when you're planning for a MySQL upgrade from the End of life versions of MySQL 5.5, 5.6, Even 5.7.
Similar to Customer Experience: InnoDB Cluster Implementation by PR Karthik (20)
This document provides a summary of JSON improvements in MySQL 8.0. It discusses MySQL's support for the JSON data type and functions for formatting, manipulating, searching and collecting statistics on JSON documents. Key changes and improvements in MySQL 8.0 include faster JSON updates and replication using partial JSON updates, new functions for transforming JSON to relational data and removing ambiguity, and performance optimizations. The document also provides examples of common JSON functions for formatting, manipulating, searching and collecting stats on JSON documents.
The document discusses MySQL Document Store, which allows users to work with both SQL relational tables and schema-less JSON collections using CRUD operations. It provides the flexibility of NoSQL with the consistency of a relational database management system (RDBMS). Key components include the MySQL Shell, X DevAPI, X Protocol, and X Plugin. The X Plugin enables communication using the X Protocol for both relational and document operations, mapping CRUD operations to tables.
The document discusses setting up MySQL InnoDB Cluster using MySQL Shell. It describes deploying MySQL server instances, creating an InnoDB Cluster, adding more instances to the cluster, and bootstrapping MySQL Router. This provides an integrated high availability and scaling solution using Group Replication for data replication within the cluster.
The document discusses new features in MySQL 8.0 including a document store for JSON documents, common table expressions and window functions, improved performance, replication enhancements, and role-based access control. It provides examples of how MySQL 8.0 offers both SQL and NoSQL capabilities through the addition of a document store and improved JSON functions and performance.
This document discusses using Docker to deploy MySQL servers. It begins with explaining what Docker is and key terminology like images, containers and commands. It then discusses the MySQL Docker images, contents and how to pull them. It demonstrates how to start a MySQL server container with options, connect to it, view logs and stop/remove the container. Finally, it discusses environment variables that can be used and provides an overview of upgrading MySQL within Docker.
The document discusses new improvements to the parser and optimizer in MySQL 5.7. Key points include:
1) The parser and optimizer were refactored for improved maintainability and stability. Parsing was separated from optimization and execution.
2) The cost model was improved with better record estimation for joins, configurable cost constants, and additional explain output.
3) A new query rewrite plugin allows rewriting queries without changing application code.
Venkatesh Duggirala from the MySQL Replication Team gave a presentation on Multi Source Replication. The presentation covered the background on why replication is used, an introduction to multi-source replication including how a slave can have multiple masters, use cases like data aggregation, and technical details on how channels and slave appliers work in multi-source replication. Monitoring of multi-source replication was also discussed.
Mysql User Camp : 20-June-14 : Mysql New features and NoSQL SupportMysql User Camp
This slide was presented at Mysql User Camp Event on 20-June-14 at Oracle bangalore. This presentation gives a good insight about New Features in Mysql 5.7 DMR 4 and Nosql Support in Mysql.
This document provides an overview and agenda for a presentation on database sharding. It discusses how sharding can help with scaling databases to handle increasing load. It describes the key components of a sharded database solution like shards, switches, and state stores. It also covers important aspects of implementing sharding like transaction handling, mapping sharding keys, and handling queries across sharded tables.
Applications of artificial Intelligence in Mechanical Engineering.pdfAtif Razi
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
2. About Mydbops
● Founded in 2015, HQ in Bangalore India with 150+ customer base across the globe.
● Mydbops is on Database Consulting with core specialization on MySQL and MongoDB Administration and
Support.
● We have expert team with 20+ certified DBA’s providing full time support and currently managing 300+
servers.
● Mydbops was created with a motto of developing a DevOPS model for Database administration offering
24*7 expert remote DBA support.
● We help organisations to architect and scale systems in MySQL/Mongo by implementing the advanced
technologies in industry which are completely open source.
3. Mydbops is into MySQL/MongoDB Support and Consulting. It is founded by experts
who have scaled database at Yahoo! ,Percona and Datavail. We are providing an
expert level support and 24*7 monitoring for MySQL databases and its related
technologies like MariaDB , Percona ( also clustering ) . We support modern
database technologies in MySQL which includes Galera ( Clustering ), Group
Replication , SQL aware Load balancers like Maxscale / ProxySQL.
About Mydbops
6. 1. Introduction to InnoDB Cluster
2. Project Background
3. Challenges faced
4. Future Enhancements planned
Table of Contents
7. ● Group Replication Library
● Virtually Synchronous replication (MySQL 5.7 )
● GCS is based on Paxos ( Variant of Mencius )
● High Availability solution on InnoDB
● Consistent data across nodes
● Shared Nothing Cluster
● Supported on all Platforms
● Inbuilt in MySQL ( No third party plugin )
Introduction : InnoDB Cluster
10. 1. Introduction to InnoDB Cluster
2. Project Background
3. Challenges faced
4. Future Enhancements planned
Table of Contents
11. A largest retail store in USA makes a migration to Open source Platform.
● Migration to Cloud ( Google Cloud )
● Monolithic to Microservice Platform
● Application servers on Containers ( Dockers )
● MySQL and MongoDB as backend data stores.
● Redis as a caching layer
● Consul for service discovery and Ansible for Config management.
Project Background
12. MySQL Info
● Automated Deployment with MySQL Shell ( In GCC)
● MySQL Enterprise servers.
● Virtual Environment
● Single Primary Mode cluster
● MySQL Version 5.7.17 ( started with )
● No read / write Split up
Project Background
13. 1. Introduction to InnoDB Cluster
2. Project Background
3. Challenges faced
4. Future Enhancements planned
Table of Contents
14. Case 1) Heavy Data loading.
Initial Loading of CSV files of heavy size breaks
the cluster and rollback the transaction.
Becomes our first blocker as data validating can
be made once the data is loaded.
Challenges Faced
15. Solutions Proposed.
● Stop the group replication reset the Master GTID’s and make the sync back in async mode ( normal
replication )
● Use a hot backup solution like MySQL Enterprise backup and rebuilt it.
The Solution 1 was comparatively faster in comparing the data set we had.
Challenges Faced
16. Case 2 ) Setting up HA for MySQL Router.
MySQL router can become a single point of failure
Challenges Faced
17. Solutions Proposed.
Implement Router as a layer with docker containers as
a part of application deployment and maintain the config
repository based on microservices.
Challenges Faced
MR MR MR MR MR
18. Case 3: MySQL bugs affected the Stress tests
MySQL Version : 5.7.17
Replication: In previous versions issuing STOP GROUP_REPLICATION stopped the plugin but the server
still accepted transactions. This meant the transactions were not transmitted to the group. To make STOP
GROUP_REPLICATION safer, now super_read_only is set to ON immediately upon issuingSTOP
GROUP_REPLICATION, which ensures no transactions are accepted. (Bug #25495067, Bug #84795)
Replication: Interleaved transactions could sometimes deadlock the slave applier when the transaction
isolation level was set to REPEATABLE-READ. (Bug #25040331)
Challenges Faced
19. Solutions Proposed.
MySQL Version : Those bugs were fixed in MySQL 5.7.20 and MySQL 5.7.19 respectively. We made
MySQL 5.7.20 as a standard in our repository for production.
Note :
Group_replication_transaction_size_limit was added in MySQL 5.7.19
Challenges Faced
20. Case 4: Isolation Level and Open transaction
Repeatable read can be performance killer in a cluster ( optimistic locking ). And open transactions from
application or users make it much worse.
Solution Proposed :
Read Committed was made as a standard isolation level and open transaction alerts based on
performance_schema was set to find application code bugs or user level
Challenges Faced
21. Case 5: Schema changes
The heavy DDL can block the parallelism in the cluster and can make the secondary to RECOVERY
state.Even INNODB Online alter can't help much as it needs a table rebuild.
Solution Proposed :
Third party Tools can be saviour - Percona toolkit or Gh-OST ( can be )
Challenges Faced
22. Case 6 : InnoDB cluster Can’t rejoin .
When the node is rebuild using MEB , the Group Replication is running fine. But the InnoDB cluster can’t
find the right UUID and marks the cluster as failed node. Can be validated via MySQL Shell
select * from performance_schema.replication_group_members;
+---------------------------+--------------------------------------+-------------+-------------+--------------+
| CHANNEL_NAME | MEMBER_ID | MEMBER_HOST | MEMBER_PORT | MEMBER_STATE |
+---------------------------+--------------------------------------+-------------+-------------+--------------+
| group_replication_applier | b0b1603f-83ef-11e6-85a6-080027de0e0e | box01 | 3306 | ONLINE |
| group_replication_applier | bb29750c-83ef-11e6-8b4f-080027de0e0e | box02 | 3306 | ONLINE |
| group_replication_applier | bbu3761b-83ef-11e6-894c-080027de0t0e | box03 | 3306 | ONLINE |
+---------------------------+--------------------------------------+-------------+-------------+--------------+
Challenges Faced
23. mysql> show tables;
+-----------------------------------------+
| Tables_in_mysql_innodb_cluster_metadata |
+-----------------------------------------+
| clusters |
| hosts |
| instances |
| replicasets |
| schema_version |
+-----------------------------------------+
5 rows in set (0,00 sec)
Solution and fix ( Temporary Patch ).
The cluster metadata table has to be updated manually post a rebuild if there is a mismatch in UUID.
Challenges Faced
24. 1. Data loading
2. Setting up HA for MySQL Router.
3. MySQL and Router Version.
4. Isolation level and open transaction
5. Handling the DDL’s
6. DB Recovery and InnoDB Cluster.
Challenges Faced
25. 1. Introduction to InnoDB Cluster
2. Project Background
3. Challenges faced
4. Future Enhancements planned
Table of Contents
26. ● Read Write Split up from App / ProxySQL
● Planning to Upgrade MySQL 5.7.22 or MySQL 8.0
● Migration to Bare Metal server.
● Single Click Upgrades on Ansible
Future Enhancement