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 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 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.
2015: Whats New in MySQL 5.7, At Oracle Open World, November 3rd, 2015 Geir Høydalsvik
MySQL 5.7 includes many new features and improvements such as faster performance, easier configuration and management, and enhanced security. It provides benefits like increased speed for queries, replication, and data compression as well as new capabilities for JSON data, spatial indexing, and instrumentation. Oracle presented benchmarks showing MySQL 5.7 is up to 6 times faster than previous versions.
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.
Need a preview of the exciting new features added to MySQL 8.0? Better Unicode support, better JSON and document handling. Find out what else did we improve in MySQL 8.0. Get the presentation on MySQL server 8.0.
2007 MySQL Conference and Expo 90 minute presentation specifically targeting Oracle Developers and DBAs. Topics included.
*DBA Tips, Tricks, Gotcha's & Tools
* Key Differences for Developers
* Migrating from Oracle to MySQL
The document provides an overview of updates and improvements to InnoDB in MySQL 5.7 compared to previous versions. Key updates include improved performance for workloads utilizing over 72 CPU cores, 6x faster NoSQL access via Memcached, better online operations like resizing buffer pools without downtime, and new features like transparent page compression.
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 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 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.
My talk for "MySQL, MariaDB and Friends" devroom at Fosdem on February 2, 2019
Born in 2010 in MySQL 5.5.3 as "a feature for monitoring server execution at a low level," grown in 5.6 times with performance fixes and DBA-faced features, in MySQL 5.7 Performance Schema is a mature tool, used by humans and more and more monitoring products. It becomes more popular over the years. In this talk I will give an overview of Performance Schema, focusing on its tuning, performance, and usability.
Performance Schema helps to troubleshoot query performance, complicated locking issues, memory leaks, resource usage, problematic behavior, caused by inappropriate settings and much more. It comes with hundreds of options which allow precisely tune what to instrument. More than 100 consumers store collected data.
Performance Schema is a potent tool. And very complicated at the same time. It does not affect performance in most cases and can slow down server dramatically if configured without care. It collects a lot of data, and sometimes this data is hard to read.
This talk will start from the introduction of how Performance Schema designed, and you will understand why it slowdowns server in some cases and does not affect your queries in others. Then we will discuss which information you can retrieve from Performance Schema and how to do it effectively.
I will cover its companion sys schema and graphical monitoring tools.
The document discusses upcoming changes and new features in MySQL 5.7. Key points include:
- MySQL 5.7 development has focused on performance, scalability, security and refactoring code.
- New features include online DDL support for additional DDL statements, InnoDB support for spatial data types, and cost information added to EXPLAIN output.
- Benchmarks show MySQL 5.7 providing significantly higher performance than previous versions, with a peak of 645,000 queries/second on some workloads.
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.
MySQL Enterprise Backup - BnR ScenariosKeith Hollman
A quick intro of what MEB is, but then a more hands-on approach to how to backup MySQL, what options are available and then how to restore accordingly.
MySQL 5.7 includes several new features that improve performance, replication, and high availability. Key features include performance improvements from the performance schema and optimizer enhancements, replication improvements like multi-source replication and transaction-based parallel replication, and InnoDB improvements such as online operations and general tablespaces.
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
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.
Upgrading mysql version 5.5.30 to 5.6.10Vasudeva Rao
The document provides steps to upgrade a MySQL database from version 5.5.30 to 5.6.10 on a Linux server. It involves downloading the MySQL 5.6 RPM files, stopping the existing 5.5 server, moving the existing data directory, removing the 5.5 RPMs, installing the 5.6 RPMs, moving the data directory back, starting the 5.6 server, and running mysql_upgrade to convert the database to the new version's format. Additional configuration changes for the new 5.6 version are also recommended.
This document summarizes a presentation about new features and changes coming in MySQL 5.7. Key points include: MySQL 5.7 will include performance improvements, more robust transaction handling and memory instrumentation. However, some backwards incompatible changes will be needed to improve the architecture. The presentation outlines several proposed changes, such as making replication more durable by default and changing the default SQL mode to STRICT. It also discusses new features for InnoDB and the optimizer.
MySQL Cluster is a database that provides high scalability, 99.999% availability, and real-time performance. It uses an auto-sharding and multi-master architecture that is ACID compliant. MySQL Cluster has a shared-nothing architecture with no single point of failure and self-healing capabilities.
Get the best out of MySQL Cluster, presentation covers:
- Tuning and optimization to exploit the auto-sharded, distributed design of MySQL Cluster
- Using Adaptive Query Localization to scale cross-shard JOINs
- Data access patterns, schema and query optimizations
- Recommended tuning parameters
Tune in to the on-demand webinar: http://www.mysql.com/news-and-events/on-demand-webinars/display-od-719.html
This presentation was written by Wagner Bianchi for the presentation on the Oracle Consulting Team/Professional Services meeting that took place in San Francisco/CA.
MySQL Developer Day conference: MySQL Replication and ScalabilityShivji Kumar Jha
The slide deck contains the latest developments in MySQL Replication. It covers:
- An introduction to MySQL Replication
- Scaling with Multi-threaded slaves
- Data aggregation with Multi-source replication
- Lossless failover with semi-synchronous replication
- Replication Monitoring made easier
Galera Cluster for MySQL vs MySQL (NDB) Cluster: A High Level Comparison Severalnines
Galera Cluster for MySQL, Percona XtraDB Cluster and MariaDB Cluster (the three “flavours” of Galera Cluster) make use of the Galera WSREP libraries to handle synchronous replication.MySQL Cluster is the official clustering solution from Oracle, while Galera Cluster for MySQL is slowly but surely establishing itself as the de-facto clustering solution in the wider MySQL eco-system.
In this webinar, we will look at all these alternatives and present an unbiased view on their strengths/weaknesses and the use cases that fit each alternative.
This webinar will cover the following:
MySQL Cluster architecture: strengths and limitations
Galera Architecture: strengths and limitations
Deployment scenarios
Data migration
Read and write workloads (Optimistic/pessimistic locking)
WAN/Geographical replication
Schema changes
Management and monitoring
MySQL 5.7 - What's new, How to upgrade and Document StoreAbel Flórez
MySQL 5.7 provides performance improvements, new features, and enhancements over previous versions. Key highlights include:
- MySQL 5.7 is generally 3x faster than MySQL 5.6 based on benchmarks of SQL point selects, connection requests, OLTP read-only, and OLTP read-write workloads.
- New features include native JSON support, query rewrite plugins, cost-based optimizer improvements, and a new SYS schema to help DBAs and operations staff.
- Additional enhancements include replication improvements, security upgrades, and Performance Schema improvements for better memory and statement instrumentation.
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.
MySQL 5.7 provides significant performance improvements and new features over previous versions. Benchmark tests showed it was 3x faster than MySQL 5.6 for SQL point selects and connection requests, and 1.5x faster for OLTP read/write workloads. New features include enhanced InnoDB storage engine capabilities, improved replication, JSON data type support, and increased security.
MySQL 5.7 provides significant performance and scalability improvements over previous versions. It offers a 3x speed increase on benchmarks compared to MySQL 5.6. New features include enhanced InnoDB functionality for faster operations, replication improvements, a new optimizer cost model, and native JSON support. Additional security enhancements in MySQL 5.7 aim to securely initialize and manage installations.
The document discusses MySQL performance tuning basics. It covers key topics like defining performance metrics, MySQL server architecture, commands and tools for monitoring performance like slow query log and processlist, and server configuration parameters that impact performance like connection settings and buffer sizes. The presentation aims to provide an overview of MySQL performance optimization.
The document discusses performance improvements and new features in MySQL 5.7. Key points include:
- MySQL 5.7 shows significant performance gains over previous versions, with benchmarks showing 3x faster query performance and 82% faster connection throughput.
- New features include enhanced replication, a new optimizer cost model, performance schema improvements, and native JSON support.
- The optimizer and parser were refactored for improved maintainability, readability and stability. A new cost-based optimizer model provides better performance and tunability.
Netherlands Tech Tour - 07 MySQL Whats upcoming in 5.7Mark Swarbrick
This document provides information about performance improvements and new features in MySQL 5.7. It includes benchmarks showing MySQL 5.7 outperforming previous versions in tasks like point selects, InnoDB throughput, and connections per second. New capabilities in 5.7 like InnoDB improvements, replication, MySQL Fabric, and security enhancements are highlighted. The refactoring of MySQL 5.7's parser and optimizer to be more modular and extensible is also summarized.
Going thru the era of IoT that involves lots more and much bigger data, we need a faster database. MySQL 5.7 gives you 3x speed of its predecessor and able to reach 1.6m qps on our select benchmark.
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.
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.
MySQL 5.7 New Features for Developers session for DOAG (Oracle user group conference) in 2016. A similar version was also presented in Israel MySQL User Group on November 2016.
This presentation review new features in MySQL 5.7: Optimizer, InnoDB engine, JSON native data type, performance and sys schemas
The document discusses new features and improvements in MySQL 5.7 including enhanced performance through optimizations to the optimizer, parser, and query rewrite plugins. It also covers new capabilities for MySQL such as support for JSON, improved replication including GTID and multi-source replication, security enhancements, and increased scalability from improvements to InnoDB.
MySQL 5.7 is GA. Here is the news about our NoSQL features in MySQL and MySQL Cluster, with a lot of emphasize on the new JSON features that make MySQL suitable as a document store.
MySQL 5.7 includes several improvements such as 3x faster performance for point selects, native JSON support with indexing capabilities, InnoDB optimizations like online buffer pool resizing and general tablespaces, and replication enhancements including multi-source replication and transaction-based parallel replication. The document provides details on these and other new features in areas like security, high availability, geospatial functions, and monitoring capabilities exposed through the performance schema and SYS schema.
This document provides a summary of new features and enhancements in MySQL 5.6, including improved performance, scalability, availability, and usability. Key highlights include optimizations to the query optimizer, enhanced instrumentation via the performance schema, improvements to InnoDB and replication, and new utilities to help administer replication deployments. Oracle aims to release development milestone versions of MySQL frequently to get new features in users' hands early.
Session presented at Oracle Developer Live - MySQL, 2020. Recording available at https://developer.oracle.com/developer-live/mysql/
Abstract:
MySQL Shell is the new, advanced command-line client and editor for MySQL. It sends SQL statements to MySQL server, supports both the classic MySQL protocol and the newer X protocol, and provides scripting capabilities for JavaScript and Python. But there's more to MySQL Shell than meets the eye. It delivers a natural and powerful interface for all DevOps tasks related to MySQL by providing APIs for development and administration. This session covers MySQL Shell's core features, along with demonstrations of how to use the various APIs and how to extend MySQL Shell. We’ll address the regular interaction with databases, the built-in tools that make DBAs and developers’ lives easier, the easy and flawless set up of HA architectures, and the plugins and extensions framework.
Similar to MySQL 5.7 - What's new and How to upgrade (20)
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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Lots of bloggers are using Google AdSense now. It’s getting really popular. With AdSense, bloggers can make money by showing ads on their websites. Read this important article written by the experienced designers of the best website designing company in Delhi –
YouTube SEO Mastery ......................islamiato717
### Introduction
#### The Importance of YouTube SEO
In the digital age, video content has emerged as a dominant force, capturing the attention of billions of people worldwide. YouTube, the second largest search engine after Google, plays a crucial role in this landscape. With over 2 billion logged-in monthly users and more than a billion hours of video watched each day, YouTube is a platform of immense potential for content creators, businesses, and influencers alike.
However, simply uploading videos isn't enough to harness this potential. To stand out amidst the vast sea of content, your videos must be discoverable. This is where YouTube SEO (Search Engine Optimization) comes into play. YouTube SEO is the practice of optimizing your videos, playlists, and channel to rank higher in YouTube's search results, thereby increasing visibility and attracting more viewers.
Understanding and implementing YouTube SEO is not just about getting more views; it's about reaching the right audience. By ensuring your content appears in relevant searches, you can connect with viewers who are genuinely interested in your message, products, or services. This targeted approach can lead to higher engagement, more subscribers, and ultimately, greater success on the platform.
#### Why SEO Matters for YouTube
Search Engine Optimization (SEO) has long been a critical component of online success, predominantly associated with websites and Google searches. However, its principles are equally vital for video content. YouTube’s algorithm considers various factors when ranking videos, including relevance, engagement, watch time, and click-through rate (CTR). By understanding and leveraging these factors, you can improve your video's position in search results and recommended lists.
High-ranking videos are more likely to be seen, clicked on, and watched. This visibility not only boosts your immediate views but also contributes to long-term growth. As your channel gains traction, the algorithm rewards you with more exposure, creating a positive feedback loop that can propel you to new heights.
#### The Impact of High-Ranking Videos on Business and Personal Brands
For businesses, a well-executed YouTube SEO strategy can drive traffic to your website, increase product awareness, and enhance customer engagement. Video content allows you to showcase products, provide tutorials, and share customer testimonials in a compelling and easily digestible format. High-ranking videos can lead to higher conversion rates and ultimately, more sales.
For personal brands and influencers, visibility on YouTube translates to greater influence and authority within your niche. It opens up opportunities for sponsorships, collaborations, and monetization. As you build a loyal audience, you can leverage this platform to expand your reach and establish yourself as a thought leader.
#### Overview of YouTube SEO
This book is designed to be a comprehensive guide to mastering YouTube SEO. We will
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.
Major Outages in Major Enterprises Payara ConferenceTier1 app
In this session, we will be discussing major outages that happened in major enterprises. We will analyse the actual thread dumps, heap dumps, GC logs, and other artifacts captured at the time of the problem. After this session, troubleshooting CPU spikes, OutOfMemoryError, response time degradations, network connectivity issues, and application unresponsiveness may not stump you.
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
CommandBox was highlighted as a powerful web hosting solution, perfect for developers and businesses alike. Featuring a built-in server and command-line interface, CommandBox simplified web application management. Developers could deploy multiple application instances simultaneously, optimizing development workflows. CommandBox's efficient deployment processes ensured reliable web hosting, seamlessly integrating into existing workflows for scalability and feature enhancements.
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.
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.
COMPSAC 2024 D&I Panel: Charting a Course for Equity: Strategies for Overcomi...Hironori Washizaki
Hironori Washizaki, "Charting a Course for Equity: Strategies for Overcoming Challenges and Promoting Inclusion in the Metaverse", IEEE COMPSAC 2024 D&I Panel, 2024.
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To illustrate this, we have run the DBT3 test suite. This is a standard test suite with 22 complex queries. The size of the database is about 30 GB. In this example, the entire database In memory in the InnoDB buffer. Out of the 22 queries, 5 shows improvements in execution. The graph should the new execution time relative to 5.6. For instance, query 8, took about 25 seconds in 5.6, now it takes about 3 seconds.
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Does this have any real effect? Here Is the result from running DBT3 again. 2 out of 22 queries have improved query plans. Here I also have included the results when data is not in the InnoDB buffer. Look at for instance Q2, the time for running this query has gone from almost 3 minutes to about 1 second. For Q18 the execution time has gone from 20 minutes to 40 seconds.
As you may know, MySQL supports a plugin API that enables creation of server components. Plugins can be loaded at server startup, or loaded and unloaded at runtime without restarting the server.
In 5.7, we provide you two rewrite APIs so that you can write your own plugin.
Pre parse API: interface is query text, you rewrite queries by replacing text with other text
Post parse API: you have to modify the parse tree. May not be as difficult as it sounds. We offer a parser service through the plugin API. It contains methods to invoke parsing, get a normalized query text from parser tree, walk the parse tree.
In addition to providing interfaces for writing your own plugin, we also provide a production quality query rewrite plugin which rewrites queries without the need to make application changes. You can use this plugin to add hints, modify join order and more.
Our query rewrite plugin uses the post parse plug-in interface, because it gives next to zero performanc overhead. I will explain how this works.
The main point of choosing post parsing is that digest is computed during parsing, and we use the digest to match incoming query with rules.
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Previously JSN_ now JSON_
Recorrido a través de 206K documentos, comparación entre JSON y TEXT
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Still has to examine full index, but now it is just an index of the values all extracted. It is much smaller.
Started out as the Generic Geometry Library by OSGeo. Now it’s of course part of Boost.
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MTS 10x speedup is using SBR; lower for RBR
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