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.
MySQL 5.7 proposes several changes to improve performance and consistency including:
1. Making replication durable by default by setting sync_binlog and repository options.
2. Deprecating features like INNODB monitor tables and ALTER IGNORE TABLE in favor of newer standards.
3. Simplifying and restricting SQL modes to encourage stricter querying and remove ambiguous options. Explanations for errors and modes will also be improved.
The document discusses Oracle's MySQL Cloud Service which provides MySQL as a database service on Oracle Public Cloud. Key features include automated backups, patching, monitoring, elastic scaling, high availability, security features from MySQL Enterprise Edition, and tools for data access, migration and restoration. The service runs MySQL 5.7 Enterprise Edition with an optimized configuration for the cloud environment.
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 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.
MySQL Performance Tuning. Part 1: MySQL Configuration (includes MySQL 5.7)Aurimas Mikalauskas
Is my MySQL server configured properly? Should I run Community MySQL, MariaDB, Percona or WebScaleSQL? How many innodb buffer pool instances should I run? Why should I NOT use the query cache? How do I size the innodb log file size and what IS that innodb log anyway? All answers are inside.
Aurimas Mikalauskas is a former Percona performance consultant and architect currently writing and teaching at speedemy.com. He's been involved with MySQL since 1999, scaling and optimizing MySQL backed systems since 2004 for companies such as BBC, EngineYard, famous social networks and small shops like EstanteVirtual, Pine Cove and hundreds of others.
Additional content mentioned in the presentation can be found here: http://speedemy.com/17
Upgrade to MySQL 5.7 and latest news planned for MySQL 8Ted Wennmark
The document discusses upgrading to MySQL 5.7 from previous versions. It provides an agenda that covers MySQL 5.7, upgrading to MySQL 5.7, and MySQL 8. It then discusses reasons to upgrade including performance/scalability improvements in MySQL 5.7, new features in 5.7 like JSON support and optimizer improvements, staying on a fully supported release, and security improvements in 5.7. Benchmarks show MySQL 5.7 is up to 6x faster than previous versions on OLTP workloads.
This document discusses MySQL performance tuning. It covers high availability solutions, MySQL system and status variables, memory usage, storage engines like InnoDB and MyISAM, monitoring tools, and the Performance Schema. Tuning levers include configuring variables related to caching, buffers, threads, and storage engines. Monitoring helps identify optimization opportunities.
This document discusses MySQL performance tuning and various MySQL products and features. It provides information on MySQL 5.6 including improved scalability, new InnoDB features for NoSQL access, and an improved optimizer. It also discusses MySQL Enterprise Monitor for performance monitoring, and the Performance Schema for instrumentation and monitoring internal operations.
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.
The document provides an overview of how to summarize and interpret information from MySQL server status and variable outputs to understand server performance and optimize configuration. It explains that status variables show current server activity levels, while global and session variables display configuration settings. Comparing status outputs over time calculates rates like queries/second. Key metrics help identify bottlenecks like a small key buffer size if the key read cache miss rate is high.
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.
This document provides an overview and agenda for a presentation on MySQL 5.6 performance tuning and best practices. The presentation covers analyzing MySQL workload and internals, performance improvements in MySQL 5.6 and 5.7, benchmark results, and pending issues. It emphasizes the importance of monitoring systems to understand performance bottlenecks and the need for an iterative process of monitoring, tuning, optimizing, and improving database performance over time.
MySQL and MariaDB though they share the same roots for replication .They support parallel replication , but they diverge the way the parallel replication is implemented.
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.
MySQL 5.7 - What's new and How to upgradeAbel Flórez
The document discusses new features in MySQL 5.7, including:
1) Performance improvements such as being 3x faster than MySQL 5.6 for certain workloads based on sysbench benchmarks.
2) Optimizer enhancements like a new cost-based optimizer model for better query performance and resource usage.
3) Additional features like native JSON support with functions to create, search, modify and return JSON values and improved security.
The document discusses proposed changes to MySQL Server 8.0 and replication defaults. Some key areas discussed include changing the default character set to UTF8MB4, turning on the event scheduler by default, increasing some session buffer sizes, enabling security defaults, and enabling replication features like binary logging and GTIDs by default. The document seeks feedback from users on the proposed changes.
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
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.
This document provides an overview of MySQL for Linux system administrators. It discusses MySQL architecture including storage engines, memory usage, the MySQL server process, and InnoDB transaction processing. It also covers topics like backups and replication, and the agenda includes performance and capacity planning. The goal is to help system administrators understand and manage MySQL databases.
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.
In this presentation I’ll be discussing the following beginner points to understanding and creating monitoring.
* Why Monitor?
* What’s the minimum to Monitor?
* How to monitor?
* Monitoring Software Options.
* How to use the most basic of monitoring to help
* The basics of graphing results
* The rule of Everything
* The important on Application metrics and timings
For a very little investment in time, simple monitoring can be in place, and I can guarantee it will be of benefit to any system.
The basis of monitoring are metrics that combined with application measurements can provide trending insights, bottleneck understanding and provide valuable feedback about your growing site.
MySQL 5.7: Performance Schema ImprovementsMark Leith
This document discusses improvements to the Performance Schema instrumentation in MySQL 5.7. It provides an overview of what Performance Schema is, how it has evolved from versions 5.5 to 5.6, and key improvements in 5.7, including better memory instrumentation, metadata locking instrumentation, and replication monitoring capabilities.
This presentation discusses MySQL administration and monitoring. It covers basic command line tools for MySQL, internal schemas like mysql and information_schema, backup and recovery options like mysqldump and replication. GUI tools like MySQL Workbench are presented for administration. MySQL Enterprise Monitor is discussed for distributed monitoring of MySQL environments.
- The document discusses using Zabbix for MySQL performance monitoring as an alternative to proprietary solutions like MySQL Enterprise Monitor.
- It describes how to install and configure Zabbix, including the Zabbix server, web interface, and agents. Basic MySQL monitoring is possible using built-in functionality.
- For more advanced MySQL monitoring, it recommends using the open source FromDual Performance Monitor for MySQL together with Zabbix. This provides more metrics, graphs, and flexibility than the basic Zabbix MySQL template.
The document discusses how the connected cloud is enabling new growth and innovation opportunities by connecting consumers, enterprises, and the various touchpoints between them, including personal, social, commerce and enterprise clouds. It envisions a future platform built on pillars like ecosystem, gamification, experience and intelligence that can leverage technologies like analytics, machine learning and crowdsourcing to deliver personalized recommendations and accelerated revenue growth for businesses. Examples highlighted include platforms that provide spend visibility, supplier insights and advanced analytics to procurement teams, and a global retail execution network for consumer brands.
The document provides an overview of diagnosing performance and other issues with the InnoDB storage engine in MySQL. It discusses various sources of information for troubleshooting like SHOW ENGINE INNODB STATUS and OS tools. Common problems covered include the InnoDB data dictionary getting out of sync, crashes/segmentation faults, locking issues, and performance problems related to disk I/O, buffer pool hit rates, high CPU usage from row operations or thread thrashing. Interpreting diagnostic output and potential solutions are also outlined.
The Peoper Care and Feeding of a MySQL Server for Busy Linux AdminDave Stokes
Webcast 16 September 2015 with a big thanks to SolarWinds. This is a collection of best practices for Linux Admin who 'also have' database responsibility but are not DBAs
Running and Shutting down MySQL Server:
- Check if MySQL server is running using 'ps -ef | grep mysqld' command. Start server using './safe_mysqld &' if not running.
- Shut down running server using './mysqladmin -u root -p shutdown' command.
Setting Up a MySQL User Account:
- Add new user to 'user' table in 'mysql' database using INSERT query, encrypting password.
- Use FLUSH PRIVILEGES to reload grant tables and allow connection with new user.
- Can also use GRANT SQL command to add user for a specific database.
The /etc/my.cnf File
The document summarizes techniques for optimizing MySQL performance presented by Peter Zaitsev. Some key points include:
- Ways to kill runaway queries including timeouts and monitoring process lists.
- Methods for limiting query concurrency like using locks to control the number of concurrent queries.
- Designing schemas and queries with performance in mind, such as avoiding expensive operations like DISTINCT, GROUP BY, and COUNT(*).
- Techniques for backups like using table locks and storage snapshots to get fast cross-storage engine backups.
Making MySQL Administration a Breeze - A Look Into a MySQL DBA's ToolchestLenz Grimmer
This document summarizes and compares several open source tools for MySQL administration. It discusses tools for tasks like monitoring, backups, auditing, performance tuning, and replication. Key tools mentioned include Maatkit, Openark kit, Kontrollkit, mytop, innotop, mydumper, xtrabackup, oak-security-audit, mysqltuner, and tools for monitoring and maintaining replication.
This document introduces the SAP HANA Cookbook for MySQL Developers. The cookbook provides real examples, code snippets, and tutorials to help MySQL developers leverage advanced analytics capabilities on SAP HANA such as predictive analytics, text mining, and geospatial processing. It covers how to load MySQL data into SAP HANA using open source ETL tools, perform ad-hoc analytics and build predictive applications using R algorithms on SAP HANA. The goal is to help MySQL developers maximize the value of their existing databases by pairing them with SAP HANA for advanced analytics.
Software metrics provide quantitative measures to gain insight into software processes and projects. They are used to characterize, evaluate, predict, and improve software. There are challenges to defining effective metrics. Measurement principles include formulating appropriate metrics, collecting data, analyzing results, and providing feedback. Common software quality attributes defined by McCall and ISO standards include functionality, reliability, usability, efficiency, maintainability, and portability. Goal-oriented measurement identifies metrics to answer questions and achieve goals related to software processes and products.
Introduction to MySQL Enterprise MonitorMark Leith
The document is a presentation on MySQL Enterprise Monitor (MEM) by Mark Leith of Oracle. It introduces MEM as a distributed monitoring system for MySQL with a central Service Manager and agents installed on monitored hosts. The presentation includes sections on MEM architecture showing its core components, and a demo of features in the MEM UI like viewing instances, advisors, events, graphs, and query analysis.
This document provides an overview of MySQL for Oracle DBAs, covering topics such as MySQL architecture, backup and recovery strategies, managing space and tables, and connecting MySQL to Oracle. The key points discussed include MySQL's product architecture and internal memory structures, filesystem layout for binaries, data and log files, InnoDB and MyISAM storage engines for managing space, and using tools like mysqldump, mysqlhotcopy, and mysqlbinlog for backups and point-in-time recovery.
The document discusses developing plugins for the MySQL INFORMATION_SCHEMA by creating custom tables. It provides steps to create a simple "Hello World" plugin that defines a table with two columns and fills it with sample data. The document also describes how to build and install the plugin so it can be queried from INFORMATION_SCHEMA like a regular table.
Getting to Know MySQL Enterprise MonitorMark Leith
MySQL Enterprise Monitor is the monitoring and management solution for DBAs and developers delivered as part of MySQL Enterprise Edition. It provides background monitoring, alerting, trending, and analysis of the MySQL database and the statement traffic that is running within it.
View this session to learn how to install/configure, customize, and use MySQL Enterprise Monitor to suit your environment. Whether you use a single server or have hundreds of instances, MySQL Enterprise Monitor can provide great insights into how your environment is performing.
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.
The document discusses various considerations for managing and tuning MySQL performance, including:
- Performance testing to measure success and ensure key metrics are monitored.
- Having a suitable backup strategy that supports requirements for backups, restores, and regulatory compliance.
- Ensuring high availability designs match actual uptime needs and failover policies and procedures are in place.
- Planning for data and throughput growth over time.
- Tuning at the hardware, configuration, schema, and query levels to optimize performance.
Vincent Chan, a principal architect at Oracle, gave a presentation on how Oracle Enterprise Manager 12c can help automate database lifecycle management. He discussed how EM12c can quickly provision databases, automate patching processes, detect regressions in SQL performance, and ensure compliance with security best practices. He also presented a case study of HDFC Bank that implemented a database-as-a-service solution using Oracle Exadata and EM12c, reducing database provisioning times from weeks to minutes.
Performance Schema and Sys Schema in MySQL 5.7Mark Leith
MySQL 5.7 now includes the Sys Schema by default, which builds upon the awesome instrumentation framework laid by Performance Schema.
Performance Schema has had 23 worklogs completed in 5.7 alone, such as memory instrumentation, tying in transactions and stored programs in to the current statement/stage/wait instruments and wait graph, prepared statement instruments, metadata lock information, improved session status and variable reporting, the new structured replication tables, and more.
The Sys schema builds upon this strong foundation with easy reporting views and functions, as well as procedures to help both set up and manage the configuration of Performance Schema, and help diagnose performance issues with your database instances on the whole.
Come along and hear from the original developer of the Sys schema about all of these exciting improvements in MySQL instrumentation for the upcoming MySQL 5.7 release!
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.
MySQL Performance Webinar is a series of slides giving hints on how improve performance in a MySQL installation and how to analyze how the server is doing.
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 discusses MySQL Cluster, a distributed database that provides high availability, scalability and real-time performance. It summarizes MySQL Cluster's key capabilities like auto-sharding, ACID compliance, high scalability for reads and writes, self-healing capabilities and more. It also discusses how MySQL Cluster is used by various companies and provides overviews of the MySQL Cluster architecture, scaling and high availability features.
MySql's NoSQL -- best of both worlds on the same disksDave Stokes
The document discusses MySQL's implementation of NoSQL capabilities within its traditional SQL database. MySQL 5.6 introduced a Memcached plugin that allows for fast, non-SQL key-value access to data stored in InnoDB tables. This provides the speed of NoSQL with the ACID compliance and crash recovery of SQL. The plugin can be installed and configured, then data accessed from either Memcached clients or SQL. This allows MySQL to serve as both a traditional SQL database and a NoSQL store.
The document summarizes Oracle's SuperCluster engineered system. It provides consolidated application and database deployment with in-memory performance. Key features include Exadata intelligent storage, Oracle M6 and T5 servers, a high-speed InfiniBand network, and Oracle VM virtualization. The SuperCluster enables database as a service with automated provisioning and security for multi-tenant deployment across industries.
Oracle offers several database cloud services including Oracle Database Cloud Service, Oracle Exadata Cloud Service, Oracle Database Backup Service, and Oracle Database Schema Service. These services provide automated infrastructure, database administration, and tools for application development, testing database applications, testing database upgrades, disaster recovery, and a hybrid cloud environment with the same database software both on-premises and in the cloud.
Sizing an alfresco infrastructure has always been an interesting topic with lots of unrevealed questions. There is no perfect formula that can accurately define what is the perfect sizing for your architecture considering your use case. However, we can provide you with valuable guidance on how to size your Alfresco solution, by asking the right questions, collecting the right numbers, and taking the right assumptions on a very interesting sizing exercise.
How many alfresco servers will you need on your alfresco cluster? How many CPUs/cores do you need on those servers to handle your estimated user concurrency? How do you estimate the sizing and growth of your storage? How much memory do you need on your Solr servers? How many Solr servers do you need to get the response times you require? What are the golden rules that can drive and maintain the success of an Alfresco project?
This document provides 50 tips for boosting MySQL performance. It begins with introductions and outlines the program agenda which includes introductions, presenting the 50 performance tips, and a question and answer section. The tips cover various aspects of optimizing MySQL performance including hardware setup, operating system configuration, MySQL configuration settings, query and index optimization, and monitoring.
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.
The document provides an overview of performance tuning for Oracle databases. It discusses tuning goals such as accessing the least number of blocks and caching blocks in memory. It outlines the tuning process which includes tuning the design, application, memory, I/O, contention and operating system. Common performance issues for OLTP systems like I/O bottlenecks are also covered. Various tools for identifying performance problems are presented.
The document provides an overview of performance tuning for Oracle databases. It discusses tuning goals such as accessing the least number of blocks and caching blocks in memory. It outlines the tuning process which includes tuning the design, application, memory, I/O, contention and operating system. Common performance issues for OLTP systems like I/O bottlenecks are also covered. Various tools for identifying performance problems are listed.
This document discusses how to optimize performance in SQL Server. It covers:
1) Why performance tuning is necessary to allow systems to scale, improve performance, and save costs.
2) How to optimize SQL Server performance by addressing CPU, memory, I/O, and other factors like compression and partitioning.
3) How to optimize the database for performance through techniques like schema design, indexing, locking, and query optimization.
VMworld 2013: Virtualizing Databases: Doing IT Right VMworld
VMworld 2013
Michael Corey, Ntirety, Inc
Jeff Szastak, VMware
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
MySQL Cluster Asynchronous replication (2014) Frazer Clement
Slides from 2014 describing basic features and implementation of MySQL Cluster asynchronous (binlog) replication, with some monitoring and tuning guidance.
Similar to MySQL Performance Metrics that Matter (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 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.
In this session, we explored how the cbfs module empowers developers to abstract and manage file systems seamlessly across their lifecycle. From local development to S3 deployment and customized media providers requiring authentication, cbfs offers flexible solutions. We discussed how cbfs simplifies file handling with enhanced workflow efficiency compared to native methods, along with practical tips to accelerate complex file operations in your projects.
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.
In this session, we discussed the critical need for comprehensive backups across all aspects of our industry—from code and databases to webservers, file servers, and network configurations. Emphasizing the importance of proactive measures, attendees were urged to ensure their backup systems were tested through restoration processes. The session underscored the risk of discovering backup issues only during crises, highlighting the necessity of verifying backup integrity through restoration tests.
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.
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.
A captivating AI chatbot PowerPoint presentation is made with a striking backdrop in order to attract a wider audience. Select this template featuring several AI chatbot visuals to boost audience engagement and spontaneity. With the aid of this multi-colored template, you may make a compelling presentation and get extra bonuses. To easily elucidate your ideas, choose a typeface with vibrant colors. You can include your data regarding utilizing the chatbot methodology to the remaining half of the template.
AI Chatbot Development – A Comprehensive Guide .pdfayushiqss
Discover how generative AI is transforming IT development in this blog. Learn how using AI software development, artificial intelligence tools, and generative AI tools can lead to smarter, faster, and more efficient software creation. Explore real-world applications and see how these technologies are driving innovation and cutting costs in IT development.
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.
WhatsApp Tracker - Tracking WhatsApp to Boost Online Safety.pdfonemonitarsoftware
WhatsApp Tracker Software is an effective tool for remotely tracking the target’s WhatsApp activities. It allows users to monitor their loved one’s online behavior to ensure appropriate interactions for responsive device use.
Download this PPTX file and share this information to others.
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.
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