The document discusses various MySQL database architectures for different usage needs, from single server setups to high availability configurations. It begins with traditional single server and web/database tier setups. It then covers high availability options using MySQL replication, shared storage, and MySQL Cluster. Popular topologies include master-slave replication for scaling reads, read-write splitting between master and slaves, and using slaves for reporting queries to improve performance. Considerations like network latency, failure handling, and limitations of read-write splitting are also discussed.
This document provides an overview of MySQL server performance tuning. It discusses laying the foundation for performance tuning by examining the server, OS, network and filesystem. It also covers examining current server settings and status variables, and tuning various aspects of MySQL like InnoDB, MyISAM, queries and session settings. The document aims to provide guidance on areas to optimize to improve MySQL server performance.
This document discusses various MySQL performance metrics that are important to measure from within the database, operating system, and application. It outlines key InnoDB internal structures like the buffer pool and log system. Specific metrics that provide insight into buffer pool usage, page churn, and log writes are highlighted. Optimizing the working set size and ensuring sufficient free space in the log files are important factors for performance.
This document discusses using MySQL in automated testing. It covers various tools that can be used to automate and manage database deployments as part of testing, including pt-online-schema-change, MySQL Sandbox, SYS, Outbrain Propagator, Liquibase, ORM migrations, and libeatmydata. It also discusses considerations for different MySQL versions, such as online DDL support being introduced in MySQL 5.6. The document aims to demonstrate that databases can and should be automated and treated as first-class citizens in testing environments.
The document discusses new features in MySQL 5.7 related to replication. It covers improvements to usability through online reconfiguration of global transaction IDs and replication filters. It also describes enhanced replication monitoring using performance schema tables and improved applier performance through locking-based parallelism. The agenda includes sections on replication features in 5.7, news from development, and future plans.
This document provides an overview of use cases for the ProxySQL database proxy. It discusses how ProxySQL can be used to:
1. Improve scalability through features like connection pooling, read/write splitting, and sharding.
2. Enhance high availability with seamless failover, load balancing, and cluster awareness.
3. Enable advanced query capabilities such as caching, rewriting, blocking, and routing.
4. Provide manageability tools for authentication, runtime configuration, and monitoring.
The document describes several specific scenarios where ProxySQL can optimize operations, help solve performance issues, and empower database administrators. It also outlines how ProxySQL has been tested at large scale supporting millions of
The document discusses new features and improvements in MySQL 5.6, including significant performance gains over MySQL 5.5. Key highlights include improved InnoDB performance through features like online DDL and buffer pool pre-loading, up to 151-234% performance gains on benchmarks. Other enhancements cover full-text search in InnoDB, NoSQL support through memcached integration, replication improvements with GTIDs and crash-safe slaves, and strengthened security with audit logging and password policies.
Mysql User Camp : 20th June - Mysql New FeaturesTarique Saleem
This document discusses new features in MySQL 5.7 and NoSQL support in MySQL. Some key points:
- MySQL 5.7 includes improvements to InnoDB for better transactional performance and scalability, as well as enhancements to replication, security, and other areas.
- NoSQL support allows direct access to MySQL data via Memcached APIs for simpler and faster key-value access while maintaining ACID guarantees.
- Benchmarks show NoSQL inserts into MySQL can be up to 9x faster than SQL inserts, and MySQL 5.7 can achieve over 1 million queries per second.
MySQL 5.6 - Operations and Diagnostics ImprovementsMorgan Tocker
This document discusses MySQL 5.6 and its improvements to operational and diagnostic capabilities. Key enhancements include online DDL operations that do not block reads or writes, buffer pool dump and restore for faster startup, import/export of partitioned tables, and transportable tablespaces. Diagnostic tools were improved with EXPLAIN showing more details, the ability to EXPLAIN updates and deletes, optimizer tracing, and the performance schema providing detailed query level instrumentation and monitoring by default.
The document provides information about new features and performance improvements in MySQL 5.7. Key points include: MySQL 5.7 is generally available (GA); it offers enhanced InnoDB storage engine performance, replication improvements, a new optimizer cost model for better query performance, and improved security features like AES 256 encryption being default. Benchmark results show MySQL 5.7 performing 3x faster than 5.6 and up to 6x faster than 5.5 for various workloads.
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.
MySQL client side caching allows caching of query results on the client side using the mysqlnd driver. It is transparent to applications using MySQL extensions like mysqli or PDO. Cached results are stored using pluggable storage handlers like APC, memcache, or local memory. Queries can be cached based on SQL hints or custom logic in a user-defined storage handler. Statistics are collected on cache usage and query performance to analyze effectiveness. This provides an alternative to server-side query caching with potential benefits like reducing network traffic and database load.
The document discusses new features in MySQL 5.7 including enhanced performance and scalability, next generation application support, and availability features. Key points include the MySQL 5.7 release candidate being available with 2x faster performance than 5.6, new JSON support, improved GIS capabilities using Boost.Geometry, multi-threaded replication for faster slaves, and new group replication for multi-master clusters.
This document provides an introduction to MySQL including its history and major milestones. It discusses MySQL's role in the LAMP stack and its popularity as the world's most widely used open source database. It also summarizes MySQL's various storage engines, architectures, and recent releases. The document concludes with a discussion of MySQL's future focus and available high availability solutions.
This document provides an overview of MySQL high availability solutions including InnoDB Cluster and NDB Cluster. InnoDB Cluster allows setting up a highly available MySQL cluster with auto-sharding using Group Replication and MySQL Router for transparent application routing. NDB Cluster is a memory-optimized database for low-latency applications requiring high scalability and availability. MySQL Shell provides a unified interface for deploying, managing and monitoring these MySQL HA solutions.
What's new in MySQL 5.7, Oracle Virtual Technology Summit, 2016Geir Høydalsvik
The document discusses performance improvements in MySQL 5.7 compared to previous versions. Key points include:
- MySQL 5.7 is up to 3 times faster than MySQL 5.6 and 6 times faster than 5.5 according to benchmarks. Faster performance is achieved through improvements to the InnoDB storage engine, new optimizer cost model, and other enhancements.
- New features in 5.7 like parallel replication, native JSON support, and InnoDB spatial indexing improve performance for specific use cases like replication, JSON querying, and GIS searching.
- The MySQL Router was introduced as a way to route connections and transactions for increased performance, high availability, and scalability.
This document discusses two high availability solutions for MySQL: InnoDB Cluster and NDB Cluster. InnoDB Cluster provides high availability using MySQL 5.7+ features like Group Replication and allows for read scalability and application failover using MySQL Router. NDB Cluster uses an in-memory database with automatic sharding and native high availability features in the NDB storage engine. The document compares the two solutions and outlines some of their key differences like consistency models, sharding capabilities, and operational complexity.
This document provides an overview and summary of updates and new features in MySQL 5.6:
- MySQL 5.6 improves performance, scalability, instrumentation, transactional throughput, availability, and flexibility compared to previous versions.
- Key areas of focus include improvements to InnoDB for transactional workloads, replication for high availability and data integrity, and the optimizer for better performance and diagnostics.
- New features in MySQL 5.6 include enhanced replication utilities for high availability, improved subquery and index optimizations in the query optimizer, and expanded performance schema instrumentation for database profiling.
MySQL 5.7 NEW FEATURES, BETTER PERFORMANCE, AND THINGS THAT WILL BREAK -- Mid...Dave Stokes
MySQL is on the way and this presentation covers the new features, improved performance, and better admin that will come with 5.7. But there are some things that are changing that you need to know before you upgrade
MySQL Fabric - High Availability & Automated Sharding for MySQLTed Wennmark
The document discusses MySQL Fabric, which provides an extensible framework for high availability and sharding of MySQL databases. It allows clustering of MySQL servers for transparent failover and scale-out through sharding. MySQL Fabric handles shard mapping, global transactions and rebalancing shards across server groups. It provides connectors for applications to access the sharded and replicated database infrastructure with normal SQL queries.
The objective of this presentation is to give Oracle DBAs the necessary background information to understand what is doable with MySQL and how to integrate MySQL instances into the Oracle world.
The document discusses new features in Oracle Enterprise Manager 12c, including enhanced security, monitoring, provisioning capabilities, and support for managing databases and middleware as services. Some key highlights include improved role-based access control, global preferred credentials, self-service portals, database cloning using Direct NFS, and active thin cloning of databases on ASM storage.
Presentation at FOSS ASIA 2015 in Singapore, on March 15th 2015. This presentation explains benefit of "SQL and NoSQL" hybrid data management solution MySQL Cluster. MySQL Cluster is designed as high available and high scalable database cluster. In the same time MySQL Cluster can work as ACID compliant transactional Key-Value Datastore aka KVS #FOSSASIA
This document discusses MySQL Fabric, a framework from Oracle for managing high availability and sharding of MySQL servers. MySQL Fabric provides transparent failover between primary and secondary MySQL servers using asynchronous replication. It also allows optional sharding of data across multiple server groups for horizontal scaling out. The document outlines the key capabilities and architecture of MySQL Fabric.
The outer query and inner query will not share cursors because they are in different contexts - the outer query is a SQL statement while the inner query is inside a PL/SQL function. Each will be parsed separately.
To enable cursor sharing between the outer and inner queries, you can:
1. Pass the deptno value directly to the function instead of a bind variable
2. Define the function as pipelined and return ref cursor from it so the inner query becomes a subquery of the outer query.
3. Use inline views instead of a function.
So in summary, different contexts prevent cursor sharing. You need to modify the code to bring the queries in the same context.
This document discusses the successful migration of Oracle's Taleo Business Edition cloud service to Oracle Database 12c. It provides context on TBE's rapid growth necessitating a more robust database platform. It describes how Oracle 12c was well-suited for the migration due to its optimizations for multi-tenancy and cloud deployments. The document also outlines the transition lifecycle and lessons learned from the project.
This document provides an overview and agenda for a presentation on MySQL Fabric from Oracle. MySQL Fabric is a framework that provides high availability and automated sharding for MySQL databases. It allows for transparent application failover, scale-out through sharding, and global updates across shards. The presentation agenda covers requirements for next generation services, high availability, scaling SQL and ACID transactions, how MySQL Fabric fits with other Oracle MySQL solutions, and getting started with MySQL Fabric.
MySQL London Tech Tour March 2015 - Embedded Database of ChoiceMark Swarbrick
This document summarizes MySQL, the popular open-source database. It notes that MySQL has over 15 million active installations, is embedded by over 3,000 ISVs and OEMs, and has seen increased investment since being acquired by Oracle in 2010. Key benefits outlined include low costs, high performance and scalability, flexibility across platforms, and high availability even with commodity hardware. The document promotes MySQL for its ability to reduce database risks and costs for embedded, on-premise, and cloud applications.
Using MySQL Enterprise Monitor for Continuous Performance ImprovementMark Matthews
MySQL Enterprise Monitor is built from the ground up to support DevOps DBAs and developers. From five scenarios based on real-world issues encountered by customers, learn how you can use the power features of query analysis and statistical visualization in MySQL Enterprise Monitor to diagnose and fix MySQL performance problems. Then learn how to apply these features in a continuous fashion as a valuable addition to your DevOps toolbox.
This document provides an overview of Oracle Enterprise Manager and how it integrates MySQL monitoring and management. It discusses how the MySQL plugin allows Oracle Enterprise Manager to provide a single dashboard to manage Oracle and MySQL stacks. Key features covered include performance monitoring, configuration management, and integration with other Oracle products. The benefits of MySQL Enterprise Edition are also summarized.
Confoo 202 - MySQL Group Replication and ReplicaSetDave Stokes
MySQL Group Replication, ReplicaSet, & Architectures outlines MySQL's general product direction for high availability and replication. It provides an overview of Group Replication, ReplicaSet, and related components like MySQL Shell and MySQL Router. Key capabilities discussed include automated setup and management, integrated load balancing, and both asynchronous and synchronous replication options. Limitations noted include the requirement for manual failover in ReplicaSet deployments.
Provisioning Oracle Fusion Middleware Environments with Chef and PuppetEdwin Biemond
Provisioning Oracle Fusion Middleware Environments with Chef and Puppet
This session presents case studies and experiences involving automated provisioning of Oracle Fusion Middleware environments with the popular DevOps tools Chef and Puppet. In addition, it discusses experiences in orchestrating multinode environments with these tools, together with others such as MCollective and some custom-built tooling. The presentation also covers issues such as installing, creating domains, patching, configuring resources such as JDBC, and deploying applications. It also spends a little time on how this provisioning can contribute to building an environment for cloud-based automated acceptance testing.
This document provides an overview and summary of MySQL Cluster. It discusses how MySQL Cluster provides high availability, scalability and performance through features like auto-sharding, multi-master replication, ACID compliance, and built-in high availability. It also provides examples showing how MySQL Cluster can scale to handle over 1 billion updates per minute and discusses how operations like restarts have been improved in MySQL Cluster 7.4.1.
This document summarizes a webinar on MySQL architecture and design. The webinar covered causes and impacts of downtime, how to select the right high availability solution based on requirements, an overview of MySQL high availability solutions including replication, clustering, and third party options, and operational best practices. It also discussed new features in MySQL 5.6 that improve replication performance, failover, recovery, data integrity, and manageability.
Netherlands Tech Tour 05 - Strategic Operationalization of MySQLMark Swarbrick
This document discusses strategies for operationalizing MySQL database deployments. It begins with an overview of typical adoption models and how MySQL deployments often evolve from non-critical to mission-critical over time. The presentation then covers four operationalization principles - total cost of ownership, consistency of execution, scalability, and risk. It provides examples of how MySQL Enterprise tools can help with monitoring, security, backups, and support to achieve complete operationalization.
Similar to MySQL: From Single Instance to Big Data (20)
This document discusses Spirit, an online schema change utility for MySQL 8.0. It begins by covering the state of DDL operations in MySQL and how Spirit works to perform schema changes without blocking reads or writes. It then discusses optimizations Spirit uses and features like checkpointing. Finally, it outlines some feature requests to make more operations instant or inplace in MySQL to reduce the need for Spirit in many cases.
The document outlines 10 usability guidelines for MySQL:
1) All features should be possible through SQL for consistency and discoverability.
2) Features, configurations, and errors should be intuitively obvious and discoverable without reading manuals cover-to-cover.
3) Too many similar configuration options without clear use cases can be paralyzing; only add options if use cases are known.
4) New configuration options must allow the effect to be measured through observability.
5) Features should work consistently across contexts for orthogonality.
6) The system should be safe to script against and avoid duplicate processing.
7) Extend functionality to match common use cases.
8) Preserve the ability to
This document summarizes the author's first 90 days of experience with Vitess, an open source database proxy. It provides an overview of Vitess, including that it sits between applications and MySQL to provide routing, query consolidation, and other features. It also discusses Vitess terminology, questions about MySQL compatibility, consistency models, and other quirks and features. The document concludes with a discussion of the best use cases for Vitess and areas where it could be improved.
TiDB is a distributed, horizontally scalable SQL database that is compatible with MySQL. It separates processing and storage into independent scalable components - the TiDB SQL layer and the TiKV storage foundation. TiDB uses a multi-version concurrency control approach based on Google's Spanner/F1 databases. It has been used in large-scale production deployments containing over 30 TB of data per day. Benchmarks show it can scale linearly with additional nodes. While aiming to be compatible with MySQL features, it does not support some like stored procedures and triggers.
Introducing TiDB - Percona Live FrankfurtMorgan Tocker
TiDB is an open-source distributed SQL database developed by PingCAP that is compatible with MySQL. It provides horizontal scalability, high availability, and consistent distributed transactions. Mobike, which has 200 million users and 9 million bikes, uses TiDB to handle over 30 TB of data per day. While TiDB aims to be compatible with MySQL, some features like stored procedures work differently or are still in development.
TiDB Introduction - Boston MySQL Meetup GroupMorgan Tocker
This document provides an overview and summary of TiDB, an open-source distributed SQL database inspired by Google's Spanner and F1. The summary includes:
1. TiDB is a distributed SQL database that is compatible with MySQL and provides horizontal scalability, high availability, and strong consistency with a hybrid OLTP/OLAP architecture.
2. It consists of TiDB, TiKV, and PD components where TiDB is the frontend MySQL compatible database layer, TiKV is the distributed key-value storage layer, and PD is the placement driver for metadata management.
3. TiDB is being used by over 300 companies including Mobike for applications such as real-time analytics, high concurrency
TiDB Introduction - San Francisco MySQL MeetupMorgan Tocker
This document provides an overview and agenda for introducing TiDB, an open source distributed SQL database inspired by Google's Spanner and F1 projects. The summary includes:
- TiDB is a distributed SQL database that is compatible with MySQL and provides horizontal scalability, high availability, and strong consistency with its key components TiDB, TiKV, and PD.
- The agenda covers an introduction to PingCAP, the company behind TiDB, a technical walkthrough of the TiDB architecture, and a use case example with Mobike, one of TiDB's customers with over 200 million users.
- A live demo of running TiDB on Google Kubernetes Engine is also included on the agenda along with discussions of
This document provides an overview and summary of TiDB, an open-source distributed SQL database compatible with MySQL. It discusses TiDB's architecture which includes TiDB for the SQL layer, TiKV for storage, and PD for placement driving. TiDB provides features like horizontal scalability, distributed transactions, and high availability. Example use cases are also presented, like Mobike's use of TiDB for locking/unlocking bikes and real-time analytics of bike usage data across 200 cities in China.
The document is an introduction to the MySQL 8.0 optimizer guide. It includes a safe harbor statement noting that the guide outlines Oracle's general product direction but not commitments. The agenda lists 25 topics to be covered related to query optimization, diagnostic commands, examples from the "World Schema" sample database, and a companion website with more details.
MySQL 5.7 introduced native support for JSON data with a new JSON data type and JSON functions. The JSON type allows efficient storage and access of JSON documents compared to traditional text storage. JSON functions allow querying and manipulating JSON data through operations like extraction, search, and generation of JSON values. Developers now have more flexibility to work with hierarchical and unstructured data directly in MySQL.
This document discusses query optimization in MySQL. It provides an introduction to how the MySQL query optimizer works to determine the most efficient execution plan for a SQL query. Several examples are shown using the EXPLAIN statement to analyze queries against sample data in the World Schema. Indexes are added and analyzed to demonstrate how they can improve query performance in different scenarios. The document also discusses some general strategies and rules of thumb used by the query optimizer.
The document outlines changes and new features in MySQL versions 5.7 through upcoming releases. Key points include:
- MySQL 5.7 development follows a milestone release process to stabilize new features before general availability. Four development milestone releases have been completed so far.
- Notable 5.7 features include statement timeouts, change replication without stopping SQL threads, and performance improvements like optimized UNION ALL queries.
- Some existing functionality will change in 5.7, like making replication more durable by default and producing errors for queries with only partial GROUP BY clauses.
- Ongoing efforts include refactoring and improving InnoDB, the optimizer, and other components for better performance and scalability. New features in development
The document discusses locking and concurrency control in databases, demonstrating how table locks, row locks, and multi-version concurrency control work through examples of a database being backed up while concurrent changes are made. It shows how different locking strategies, like those used in MyISAM and InnoDB, allow for concurrent access to data while maintaining consistency and isolation. A live demo then highlights deadlocks and lock waits that can occur with concurrent access and how they are handled.
The document provides an overview of the InnoDB storage engine used in MySQL. It discusses InnoDB's architecture including the buffer pool, log files, and indexing structure using B-trees. The buffer pool acts as an in-memory cache for table data and indexes. Log files are used to support ACID transactions and enable crash recovery. InnoDB uses B-trees to store both data and indexes, with rows of variable length stored within pages.
This document discusses various methods for optimizing performance of MySQL databases, including upgrading hardware and software, optimizing configuration settings, optimizing queries, and optimizing database schemas. It provides an example of using EXPLAIN plans and adding indexes to optimize queries on a database table to improve performance. The author recommends focusing on query optimization as the best method, using profilers and slow query logs to identify queries to optimize.
How to debug ColdFusion Applications using “ColdFusion Builder extension for ...Ortus Solutions, Corp
Unlock the secrets of seamless ColdFusion error troubleshooting! Join us to explore the potent capabilities of Visual Studio Code (VS Code) and ColdFusion Builder (CF Builder) in debugging. This hands-on session guides you through practical techniques tailored for local setups, ensuring a smooth and efficient development experience.
Join me for an insightful journey into task scheduling within the ColdBox framework. In this session, we explored how to effortlessly create and manage scheduled tasks directly in your code, enhancing control and efficiency in applications and modules. Attendees experienced a user-friendly dashboard for seamless task management and monitoring. Whether you're experienced with ColdBox or new to it, this session provided practical knowledge and tips to streamline your development workflow.
Non-Functional Testing Guide_ Exploring Its Types, Importance and Tools.pdfkalichargn70th171
Are you looking for ways to ensure your software development projects are successful? Non-functional testing is an essential part of the process, helping to guarantee that applications and systems meet the necessary non-functional requirements such as availability, scalability, security, and usability.
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Ansys Mechanical enables you to solve complex structural engineering problems and make better, faster design decisions. With the finite element analysis (FEA) solvers available in the suite, you can customize and automate solutions for your structural mechanics problems and parameterize them to analyze multiple design scenarios. Ansys Mechanical is a dynamic tool that has a complete range of analysis tools.
Participants explored how visual and functional coherence strengthened brand identity and streamlined development in this session. They learned to maintain consistency across platforms and enhance user experiences using Design Systems. Ideal for brand designers, UI/UX designers, developers, and product managers who sought to optimize efficiency and ensure consistency across projects.
In this session, we explored setting up Playwright, an end-to-end testing tool for simulating browser interactions and running TestBox tests. Participants learned to configure Playwright for applications, simulate user interactions to stress-test forms, and handle scenarios like taking screenshots, recording sessions, capturing Chrome dev tools traces, testing login failures, and managing broken JavaScript. The session also covered using Playwright with non-ColdBox sites, providing practical insights into enhancing testing capabilities.
Sami provided a beginner-friendly introduction to Amazon Web Services (AWS), covering essential terms, products, and services for cloud deployment. Participants explored AWS' latest Gen AI offerings, making it accessible for those starting their cloud journey or integrating AI into coding practices.
Discover BoxLang, the innovative JVM programming language developed by Ortus Solutions. Designed to harness the power of the Java Virtual Machine, BoxLang offers a modern approach to application development with robust performance and scalability. Join us as we explore the capabilities of BoxLang, its syntax, and how it enhances productivity in software development.
Break data silos with real-time connectivity using Confluent Cloud Connectorsconfluent
Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration