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.
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.
Percona xtra db cluster(pxc) non blocking operations, what you need to know t...Marco Tusa
Performing simple DDL operations as ADD/DROP INDEX in a tightly connected cluster as PXC, can become a nightmare. Metalock will prevent Data modifications for long period of time and to bypass this, we need to become creative, like using Rolling schema upgrade or Percona online-schema-change. With NBO, we will be able to avoid such craziness at least for a simple operation like adding an index. In this brief talk I will illustrate what you should do to see the negative effect of NON using NBO, as well what you should do to use it correctly and what to expect out of it.
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.
This talk will cover experiences from writing a FDW for Informix and will discuss differences between 9.1 and 9.2, as well as the new writable API with the upcoming 9.3 release, additionally data type mapping and conversion, optimizer support and performance related topics.
The talk tries to give the attendees an overall idea behind the techniques and pitfalls they may experience when they want to write their own.
This document discusses various approaches for scaling MySQL databases. It begins with an overview of using replication between a master and slave server to offload reads. Additional approaches covered include load balancing reads across multiple slaves, sharding data across multiple database instances, using MySQL Fabric or Galera Cluster for high availability, and deploying a MySQL Cluster for high performance and redundancy. The document cautions that scaling databases comes with costs and challenges, and emphasizes starting with normalized data and monitoring growth.
Introduction to CQL and Data Modeling with Apache CassandraJohnny Miller
Cassandra Meetup, Helsinki February 2014. Introduction to CQL and Data Modeling with Apache Cassandra. You can find the video here: http://bit.ly/jpm_004
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.
DataStax Enterprise clients, such as CQLSH or Hadoop and Spark based applications, can be precisely configured to achieve a desired behaviour. For a basic use case, we just run a dedicated DSE command and do not care about how all of those pieces are setup to work together, leveraging the goodness of DSE. However, understanding where and what we need to modify to achieve the expected change in the configuration is essential for using DSE efficiently. In this presentation we go through the basic and advanced settings for client applications, including security features and limitations or DSE patches introduced into integrated Spark. We show the new tools which significantly simplify the configuration of external DSE installations which are used just for accessing DSE cluster in client mode. Finally, we conclude with hints for configuring Spark driver from scratch in order to use it in a web application, when running the program through DSE scripts is not feasible.
About the Speaker
Jacek Lewandowski Software engineer, DataStax
Jacek Lewandowski is a software engineer with 13 years of experience. Initially a full stack developer, he was working as a consultant and a trainer for different companies. Since 2011 he started using Cassandra as an alternative to SQL in various applications. He is passionate about distributed algorithms, graphs and functional programming in Scala. Part time assistant professor popularizing Cassandra database among students and researchers. Working at DataStax Analytics team for over 2 years.
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
Upcoming Changes in MySQL 5.7
Morgan Tocker, MySQL Community Manager
The presentation outlines several proposed changes and deprecations in MySQL 5.7, including making replication more durable by default, replacing some InnoDB monitor tables with performance schema instrumentation, simplifying SQL modes, and deprecating features like ALTER IGNORE TABLE, the \N NULL synonym, and the Federated storage engine. Feedback is sought on these proposed changes to help guide MySQL's future development.
MySQL 8.0 New Features -- September 27th presentation for Open Source SummitDave Stokes
MySQL 8.0 has many new features that you probably need to know about but don't. Like default security, window functions, CTEs, CATS (not what you think), JSON_TABLE(), and UTF8MB4 support.
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 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.
Longhorn PHP - MySQL Indexes, Histograms, Locking Options, and Other Ways to ...Dave Stokes
This document discusses various ways to speed up queries in MySQL, including the proper use of indexes, histograms, and locking options. It begins with an introduction to indexes, explaining that indexes are data structures that improve the speed of data retrieval by allowing for faster lookups and access to ordered records. The document then covers different types of indexes like clustered indexes, secondary indexes, functional indexes, and multi-value indexes. It emphasizes choosing indexes carefully based on the most common queries and selecting columns that are not often updated. Overall, the document provides an overview of optimization techniques in MySQL with a focus on index usage.
From Postgres to Cassandra (Rimas Silkaitis, Heroku) | C* Summit 2016DataStax
Most web applications start out with a Postgres database and it serves the application very well for an extended period of time. Based on type of application, the data model of the app will have a table that tracks some kind of state for either objects in the system or the users of the application. Names for this table include logs, messages or events. The growth in the number of rows in this table is not linear as the traffic to the app increases, it's typically exponential.
Over time, the state table will increasingly become the bulk of the data volume in Postgres, think terabytes, and become increasingly hard to query. This use case can be characterized as the one-big-table problem. In this situation, it makes sense to move that table out of Postgres and into Cassandra. This talk will walk through the conceptual differences between the two systems, a bit of data modeling, as well as advice on making the conversion.
About the Speaker
Rimas Silkaitis Product Manager, Heroku
Rimas currently runs Product for Heroku Postgres and Heroku Redis but the common thread throughout his career is data. From data analysis, building data warehouses and ultimately building data products, he's held various positions that have allowed him to see the challenges of working with data at all levels of an organization. This experience spans the smallest of startups to the biggest enterprises.
MySQL 5.7 New Features to Exploit -- PHPTek/Chicago MySQL User Group May 2014Dave Stokes
MySQL 5.7 is on the way and this presentation outlines the changes and how to best take advantage of them. Presentations May 2014 to PHPTek and Chicago MySQL User Group.
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.
- The document discusses advanced techniques for optimizing MySQL queries, including topics like temporary tables, file sorting, order optimizations, and calculated fields.
- It provides examples of using indexes and index optimizations, explaining concepts like index types, index usage, key lengths, and covering indexes.
- One example shows how to optimize a query involving a calculated year() expression by rewriting the query to use a range on the date field instead.
This document summarizes Peter Zaitsev's presentation on MySQL query optimization. It provides tips for optimizing queries such as avoiding unnecessary queries, caching results, simplifying queries, and optimizing queries by adding indexes and changing queries and schemas. The presentation also covers query execution plans, indexing techniques like covering indexes, and how to optimize queries using LIMIT, GROUP BY and other SQL clauses.
Building High Performance MySql Query Systems And Analytic Applicationsguest40cda0b
This presentation gives practical advice and tips on how to build high-performance read intensive databases, and discusses innovations such as column-oriented databases
MySQL 5.6 introduces several new query optimization features over MySQL 5.5, including:
1) Filesort optimization for queries with a filesort but a short LIMIT, improving performance over 2x in one example.
2) Index Condition Pushdown which pushes conditions from the WHERE clause into the index tree evaluation, improving a query over 5x faster by reducing the number of rows accessed.
3) Other optimizations like Multi-Range Read which improve performance of queries that access multiple ranges or indexes in a single query. The document provides examples comparing execution plans and performance between MySQL 5.5 and 5.6 to demonstrate the benefits of the new optimization features.
MYSQL Query Anti-Patterns That Can Be Moved to SphinxPythian
This document provides an overview and summary of MySQL and Sphinx search capabilities. It discusses some limitations of MySQL for certain queries and how Sphinx can help address those limitations by offloading search queries and enabling features like full-text search and geospatial search. The document also covers how to install, configure, and query Sphinx including indexing data from MySQL, running the Sphinx daemon, and connecting to it via SphinxQL or APIs.
The document discusses MySQL query optimization. It covers the query optimizer, principles of optimization like using EXPLAIN and profiling, indexes, JOIN optimization, and ORDER BY/GROUP BY optimization. The key points are to identify bottlenecks, use indexes on frequently filtered fields, avoid indexes on fields that change often or contain many duplicates, and consider composite indexes to cover multiple queries.
Query Optimization with MySQL 5.6: Old and New TricksMYXPLAIN
The document discusses query optimization techniques for MySQL 5.6, including both established techniques and new features in 5.6. It provides an overview of tools for profiling queries such as EXPLAIN, the slow query log, and the performance schema. It also covers indexing strategies like compound indexes and index condition pushdown.
This document discusses various techniques for analyzing and tuning SQL queries to improve performance. It covers measurement methods like EXPLAIN and slow logs, database design optimizations like normalization and index usage, optimizing WHERE conditions to use indexes, choosing the best access methods, and join optimization techniques. Specific strategies mentioned include changing WHERE conditions to utilize indexes more efficiently, using STRAIGHT_JOIN to control join order, and optimizing queries that use filesort or joins vs subqueries.
This document provides an agenda and overview for a MySQL Query Tuning 101 presentation. The summary includes:
1. The agenda covers topics like identifying slow queries, using indexes, the EXPLAIN tool, and other optimization techniques.
2. When queries run slow, the presenter will discuss using indexes to improve performance by allowing MySQL to access data more efficiently.
3. The EXPLAIN tool is covered as a way to estimate query execution and see how MySQL utilizes indexes. Different EXPLAIN output will be demonstrated using examples from an employees database.
This document summarizes an introduction to advanced MySQL query and schema tuning techniques presented by Alexander Rubin. It discusses how to identify and address slow queries through better indexing, temporary tables, and query optimization. Specific techniques covered include using indexes to optimize equality and range queries, ordering fields in composite indexes, and avoiding disk-based temporary tables for GROUP BY and other complex queries.
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 various ways to optimize MySQL performance, including improving query optimization by using indexes and limiting queries, normalizing the database model, configuring MySQL settings like the query cache size and slow query log, and addressing hardware issues such as sufficient RAM, multiple drives, CPU speed, and replication or partitioning for large databases.
This document provides an overview of MySQL query optimization. It discusses MySQL features like storage engines, InnoDB, and indexing. It explains that query optimization is important for performance as data grows. Techniques like explaining query plans, indexing, and rewriting queries to make better use of indexes can improve query performance by 10-100 times. The document includes examples of indexing, query rewriting, and using EXPLAIN plans.
Query Optimization with MySQL 5.6: Old and New Tricks - Percona Live London 2013Jaime Crespo
Tutorial delivered at Percona MySQL Conference Live London 2013.
It doesn't matter what new SSD technologies appear, or what are the latest breakthroughs in flushing algorithms: the number one cause for MySQL applications being slow is poor execution plan of SQL queries. While the latest GA version provided a huge amount of transparent optimizations -specially for JOINS and subqueries- it is still the developer's responsibility to take advantage of all new MySQL 5.6 features.
In this tutorial we will propose the attendants a sample PHP application with bad response time. Through practical examples, we will suggest step-by-step strategies to improve its performance, including:
* Checking MySQL & InnoDB configuration
* Internal (performance_schema) and external tools for profiling (pt-query-digest)
* New EXPLAIN tools
* Simple and multiple column indexing
* Covering index technique
* Index condition pushdown
* Batch key access
* Subquery optimization
Query Optimization with MySQL 5.7 and MariaDB 10: Even newer tricksJaime Crespo
Tutorial delivered at Percona Live London 2014, where we explore new features and techniques for faster queries with MySQL 5.6 and 5.7 and MariaDB 10, including the newest options in MySQL 5.7.5 and MariaDB 10.1.
Download here the virtual machine with the example database: http://dbahire.com/pluk14
Update: WordPress has a workaround for STRICT mode: https://core.trac.wordpress.org/ticket/26847
This document discusses various techniques for optimizing queries in MySQL databases. It covers storage engines like InnoDB and MyISAM, indexing strategies including different index types and usage examples, using explain plans to analyze query performance, and rewriting queries to improve efficiency by leveraging indexes and removing unnecessary functions. The goal of these optimization techniques is to reduce load on database servers and improve query response times as data volumes increase.
This document discusses various techniques for optimizing MySQL queries, including queries for exclusion joins, random selection, and greatest per group. For a query seeking movies without directors, solutions using NOT EXISTS, NOT IN, and outer joins are examined. The outer join solution performed best by taking advantage of a "not exists" optimization. For random selection of a movie, an initial naive solution using ORDER BY RAND() is shown to be inefficient, prompting discussion of alternative approaches.
This document discusses various strategies for optimizing MySQL queries and indexes, including:
- Using the slow query log and EXPLAIN statement to analyze slow queries.
- Avoiding correlated subqueries and issues in older MySQL versions.
- Choosing indexes based on selectivity and covering common queries.
- Identifying and addressing full table scans and duplicate indexes.
- Understanding the different join types and selecting optimal indexes.
Percona Live 2012PPT: MySQL Query optimizationmysqlops
The document discusses techniques for optimizing MySQL queries. It begins by explaining how to use EXPLAIN to view a query's execution plan and identify opportunities for improvement. Examples demonstrate how adding appropriate indexes can speed up queries by reducing the number of rows examined. The use of composite indexes, covering indexes, and index column order are also addressed. More advanced profiling techniques are presented to further analyze query performance beyond what EXPLAIN shows.
You’re a developer or a DBA, and you’re comfortable writing queries to get the data you need. You’re much less comfortable trying to design the right indexes for your database server. In this series of videos, you’ll learn how the SQL Server engine looks at your indexes and builds your query results.
What Your Database Query is Really DoingDave Stokes
Do you ever wonder what your database servers is REALLY doing with that query you just wrote. This is a high level overview of the process of running a query
Helsinki Cassandra Meetup #2: Introduction to CQL3 and DataModelingBruno Amaro Almeida
- Introduction to CQL3 and DataModeling (Johnny Miller, Cassandra Solutions Architect, Datastax):
Johnny Miller is an experience developer, architect, team
lead and agile coach with a history of working at Sky, AOL
Broadband and Alcatel-Lucent. Johnny has architected and
delivered a number of platforms using Cassandra as a key
component for achieving high availability and efficient scaling.
Open Source 1010 and Quest InSync presentations March 30th, 2021 on MySQL Ind...Dave Stokes
Speeding up queries on a MySQL server with indexes and histograms is not a mysterious art but simple engineering. This presentation is an indepth introduction that was presented on March 30th to the Quest Insynch and Open Source 101 conferences
PHP UK 2020 Tutorial: MySQL Indexes, Histograms And other ways To Speed Up Yo...Dave Stokes
Slow query? Add an index or two! But things are suddenly even slower! Indexes are great tools to speed data lookup but have overhead issues. Histograms don’t have that overhead but may not be suited. And how you lock rows also effects performance. So what do you do to speed up queries smartly?
Best Practices for Migrating Legacy Data Warehouses into Amazon RedshiftAmazon Web Services
The document summarizes best practices for migrating legacy data warehouses to Amazon Redshift. It covers architectural concepts like columnar storage and compression, data distribution styles, sort keys to optimize query performance, and materializing dimension columns in fact tables. The presentation provides an overview of these topics and their impact on storage, I/O and querying. Real-world examples are also given to illustrate key points.
MySQL Indexes and Histograms - RMOUG Training Days 2022Dave Stokes
Nobody complains when the database is too fast. But they do gripe when it slows down. The two most popular ways to increase query speed are indexes and histograms. But there a dozens of options for indexes and a lot of lots of bad information on how to use them. Histograms are great but not for all types of data. This session covers the hows and whys of both approaches
This document discusses revisiting SQL basics and advanced topics. It covers objectives, assumptions, and topics to be covered including staying clean with conventions, data types, revisiting basics, joining, subqueries, joins versus subqueries, group by, set operations, and case statements. The topics sections provides details on each topic with examples to enhance SQL knowledge and write better queries.
Introduction to SQL Server Internals: How to Think Like the EngineBrent Ozar
When you pass in a query, how does SQL Server build the results? Time to role play: Brent will be an end user sending in queries, and you will play the part of the SQL Server engine. Using simple spreadsheets as your tables, you will learn how SQL Server builds execution plans, uses indexes, performs joins, and considers statistics.
This session is for DBAs and developers who are comfortable writing queries, but not so comfortable when it comes to explaining nonclustered indexes, lookups, and sargability.
This session is for DBAs and developers who are comfortable writing queries, but not so comfortable when it comes to explaining nonclustered indexes, lookups, sargability, fill factor, and corruption detection.
This presentations shows how to create a time/date dimension for PowerPivot from the date data in your fact table. I also shows the DAX functions that you can use to add columns to the fact table or a separate dimension table.
SQL Query Optimization: Why Is It So Hard to Get Right?Brent Ozar
The query optimizer's role is to transform SQL queries into efficient execution plans by:
1) Enumerating logically equivalent query plans through equivalence rules.
2) Enumerating physical execution plans for each logical plan.
3) Estimating the costs of each physical plan by estimating predicate selectivities and operator costs.
4) Selecting the physical plan with the lowest estimated cost to run the query.
Five Database Mistakes and how to fix them -- Confoo VancouverDave Stokes
Very few developers are learning Structured Query Language (about 2%) but then wonder why their database queries stink. This presentation covers five common database problems and how to fix them
MySQL New Features -- Sunshine PHP 2020 PresentationDave Stokes
MySQL has moved to a quarterly release cycle and it can be hard to keep up with the new features. For instance, there are now multi-valued indexes for things like JSON arrays to allow for fast searches of embedded data. And there is a bulk loaded for JSON, CSV, and TSV data that works in parallel. Or support for JSON-Schame.org's JSON schema validation. Plus you no longer need to run mysql_upgrade after an upgrade as that is all automated. In addition, you can now clone InnoDB tablespaces for fast initialization of replicate data. So if you need to catch up on the latest and greatest from MySQL you need to be in this session.
This document provides an overview of using SQLite and the sTunes database for SQL and scripting training. It discusses launching the DB Browser software and opening the sTunes database for exploration. It also covers getting started with SQLite queries, including notation techniques, basic query structure, sorting results, limiting results, and using various SQL operators in queries. The document provides examples of queries using concepts like aliases, WHERE clauses, wildcards, dates, logical operators, and CASE statements.
Confoo 2021 - MySQL Indexes & HistogramsDave Stokes
Confoo 2021 presentation on MySQL Indexes, Histograms, and other ways to speed up your queries. This slide deck has slides that may not have been included in the presentation that were omitted due to time constraints
This document provides an overview of a presentation on building better SQL Server databases. The presentation covers how SQL Server stores and retrieves data by looking under the hood at tables, data pages, and the process of requesting data. It then discusses best practices for database design such as using the right data types, avoiding page splits, and tips for writing efficient T-SQL code. The presentation aims to teach attendees how to design databases for optimal performance and scalability.
This document discusses SQL skills and how queries can negatively impact server performance if not written efficiently. It covers topics like query plans, execution contexts, using parameters, indexing, handling large datasets, and external influences on SQL performance. Specific "bad" SQL examples are also provided and explained. The presenter's goal is to help developers optimize their SQL and prevent poorly written queries from bringing servers to their knees.
This document discusses SQL skills and how queries can negatively impact server performance if not written efficiently. It covers topics like query plans, execution contexts, using parameters, indexing, handling large datasets, and external influences on SQL performance. Specific "bad" SQL examples are also provided and analyzed. The presenter aims to help developers optimize their SQL and prevent poorly written queries from bringing servers to their knees.
The document discusses using JSON documents within a relational database. It provides examples of storing JSON documents in MySQL collections and querying them using both document and SQL syntax. Key points include:
- JSON documents can be stored in MySQL collections, providing a flexible document data model while retaining MySQL's reliability and ACID transactions.
- Documents can be queried using either document queries or by converting the JSON to relational form using JSON_TABLE, allowing the use of SQL.
- Examples are shown in several languages for CRUD operations on collections as well as indexing, validation, and more advanced queries like aggregating data from arrays.
- Storing JSON documents natively in MySQL allows leveraging both document and rel
Database basics for new-ish developers -- All Things Open October 18th 2021Dave Stokes
Do you wonder why it takes your database to find the top five of your fifty six million customers? Do you really have a good idea of what NULL is and how to use it? And why are some database queries so quick and others frustratingly slow? Relational databases have been around for over fifty years and frustrating developers for at least forty nine of those years. This session is an attempt to explain why sometimes the database seems very fast and other times not. You will learn how to set up data (normalization) to avoid redundancies into tables by their function, how to join two tables to combine data, and why Structured Query Language is so very different than most other languages. And you will see how thinking in sets over records can greatly improve your life with a database.
JavaScript and Friends August 20th, 20201 -- MySQL Shell and JavaScriptDave Stokes
The MySQL Shell has a JavaScript mode where you can use JS libraries to access you data and you can also write (and save) your own custom reports (or programs) for future use.
Dutch PHP Conference 2021 - MySQL Indexes and HistogramsDave Stokes
This document discusses how to speed up queries in MySQL through the proper use of indexes, histograms, and other techniques. It begins by explaining that the MySQL optimizer tries to determine the most efficient way to execute queries by considering different query plans. The optimizer relies on statistics about column distributions to estimate query costs. The document then discusses using EXPLAIN to view and analyze query plans, and how indexes can improve query performance by allowing faster data retrieval through secondary indexes and other index types. Proper index selection and column data types are important to allow the optimizer to use indexes efficiently.
Validating JSON -- Percona Live 2021 presentationDave Stokes
JSON is a free form data exchange format which can cause problems when combined with a strictly typed relational database. Thanks to the folks at https://json-schema.org and the MySQL engineers at Oracle we can no specify required fields, type checks, and range checks.
Data Love Conference - Window Functions for Database AnalyticsDave Stokes
16 April 2021 presentation for the Data Love Conference on Window Functions for Data Base Analytics. Examples are on MySQL but will work for other RDMS's with window functions. Assumes no user background on window functions or analytics
Confoo.ca conference talk February 24th 2021 on MySQL new features found in version 8.0 including server and supporting utility updates for those who may have missed some really neat new features
MySQL 8.0 introduces new features like resource groups to dedicate server resources to different query classes. It has a faster backup process using MySQL Shell utilities and compression of replication logs. The presentation provides an overview of InnoDB Cluster which allows multi-primary replication topologies and automated failover using Group Replication. It demonstrates how to easily set up a basic 3 node InnoDB Cluster on the local machine for testing using the MySQL Shell. MySQL Router can then be used to route application connections to the cluster for load balancing and high availability without application changes.
A Step by Step Introduction to the MySQL Document StoreDave Stokes
Looking for a fast, flexible NoSQL document store? And one that runs with the power and reliability of MySQL. This is an intro on how to use the MySQL Document Store
Discover The Power of NoSQL + MySQL with MySQLDave Stokes
The document discusses the MySQL Document Store, which provides both NoSQL and SQL capabilities on a single platform. It allows for schemaless document storage and querying using JSON documents, while also providing the reliability, security and transaction support of MySQL. Examples are given in several programming languages of basic CRUD operations on document collections using simple APIs that avoid the need for SQL. The document also shows how JSON documents can be queried using SQL/JSON functions, enabling more complex analysis that was previously only possible in a relational database. This provides the best aspects of both NoSQL and SQL on a proven database platform.
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.
MySQL 8 - UKOUG Techfest Brighton December 2nd, 2019Dave Stokes
The document discusses several new features in MySQL 8 including:
1. A new data dictionary that stores metadata internally instead of external files, allowing for transactional ALTER TABLE commands.
2. Support for common table expressions and windowing functions.
3. Improvements to the optimizer including index and join order hints, descending indexes, and optimizer trace output providing more details.
4. Support for roles which are named collections of privileges that can be assigned to users.
5. UTF8MB4 is now the default character set providing support for emoji and supplementary characters.
6. Ability to create invisible indexes that are not used by the optimizer but are maintained for testing performance impact.
Upgrading to MySQL 8.0 webinar slides November 27th, 2019Dave Stokes
- The document discusses upgrading from MySQL 5.7 to MySQL 8.0, providing guidance on the upgrade path and process.
- It describes running checks using the new MySQL Shell utility to detect any issues in the 5.7 instance that need addressing before upgrading, such as incompatible syntax, removed features, or changed defaults.
- Advice is given on backup procedures, reading the upgrade documentation, and addressing any warnings or errors reported by the upgrade checker to ensure a smooth transition.
In this follow-up session on knowledge and prompt engineering, we will explore structured prompting, chain of thought prompting, iterative prompting, prompt optimization, emotional language prompts, and the inclusion of user signals and industry-specific data to enhance LLM performance.
Join EIS Founder & CEO Seth Earley and special guest Nick Usborne, Copywriter, Trainer, and Speaker, as they delve into these methodologies to improve AI-driven knowledge processes for employees and customers alike.
Fluttercon 2024: Showing that you care about security - OpenSSF Scorecards fo...Chris Swan
Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge.
You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter.
The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.
Quality Patents: Patents That Stand the Test of TimeAurora Consulting
Is your patent a vanity piece of paper for your office wall? Or is it a reliable, defendable, assertable, property right? The difference is often quality.
Is your patent simply a transactional cost and a large pile of legal bills for your startup? Or is it a leverageable asset worthy of attracting precious investment dollars, worth its cost in multiples of valuation? The difference is often quality.
Is your patent application only good enough to get through the examination process? Or has it been crafted to stand the tests of time and varied audiences if you later need to assert that document against an infringer, find yourself litigating with it in an Article 3 Court at the hands of a judge and jury, God forbid, end up having to defend its validity at the PTAB, or even needing to use it to block pirated imports at the International Trade Commission? The difference is often quality.
Quality will be our focus for a good chunk of the remainder of this season. What goes into a quality patent, and where possible, how do you get it without breaking the bank?
** Episode Overview **
In this first episode of our quality series, Kristen Hansen and the panel discuss:
⦿ What do we mean when we say patent quality?
⦿ Why is patent quality important?
⦿ How to balance quality and budget
⦿ The importance of searching, continuations, and draftsperson domain expertise
⦿ Very practical tips, tricks, examples, and Kristen’s Musts for drafting quality applications
https://www.aurorapatents.com/patently-strategic-podcast.html
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
Data Protection in a Connected World: Sovereignty and Cyber Securityanupriti
Delve into the critical intersection of data sovereignty and cyber security in this presentation. Explore unconventional cyber threat vectors and strategies to safeguard data integrity and sovereignty in an increasingly interconnected world. Gain insights into emerging threats and proactive defense measures essential for modern digital ecosystems.
Video traffic on the Internet is constantly growing; networked multimedia applications consume a predominant share of the available Internet bandwidth. A major technical breakthrough and enabler in multimedia systems research and of industrial networked multimedia services certainly was the HTTP Adaptive Streaming (HAS) technique. This resulted in the standardization of MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) which, together with HTTP Live Streaming (HLS), is widely used for multimedia delivery in today’s networks. Existing challenges in multimedia systems research deal with the trade-off between (i) the ever-increasing content complexity, (ii) various requirements with respect to time (most importantly, latency), and (iii) quality of experience (QoE). Optimizing towards one aspect usually negatively impacts at least one of the other two aspects if not both. This situation sets the stage for our research work in the ATHENA Christian Doppler (CD) Laboratory (Adaptive Streaming over HTTP and Emerging Networked Multimedia Services; https://athena.itec.aau.at/), jointly funded by public sources and industry. In this talk, we will present selected novel approaches and research results of the first year of the ATHENA CD Lab’s operation. We will highlight HAS-related research on (i) multimedia content provisioning (machine learning for video encoding); (ii) multimedia content delivery (support of edge processing and virtualized network functions for video networking); (iii) multimedia content consumption and end-to-end aspects (player-triggered segment retransmissions to improve video playout quality); and (iv) novel QoE investigations (adaptive point cloud streaming). We will also put the work into the context of international multimedia systems research.
The Rise of Supernetwork Data Intensive ComputingLarry Smarr
Invited Remote Lecture to SC21
The International Conference for High Performance Computing, Networking, Storage, and Analysis
St. Louis, Missouri
November 18, 2021
What's Next Web Development Trends to Watch.pdfSeasiaInfotech2
Explore the latest advancements and upcoming innovations in web development with our guide to the trends shaping the future of digital experiences. Read our article today for more information.
Are you interested in learning about creating an attractive website? Here it is! Take part in the challenge that will broaden your knowledge about creating cool websites! Don't miss this opportunity, only in "Redesign Challenge"!
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/07/intels-approach-to-operationalizing-ai-in-the-manufacturing-sector-a-presentation-from-intel/
Tara Thimmanaik, AI Systems and Solutions Architect at Intel, presents the “Intel’s Approach to Operationalizing AI in the Manufacturing Sector,” tutorial at the May 2024 Embedded Vision Summit.
AI at the edge is powering a revolution in industrial IoT, from real-time processing and analytics that drive greater efficiency and learning to predictive maintenance. Intel is focused on developing tools and assets to help domain experts operationalize AI-based solutions in their fields of expertise.
In this talk, Thimmanaik explains how Intel’s software platforms simplify labor-intensive data upload, labeling, training, model optimization and retraining tasks. She shows how domain experts can quickly build vision models for a wide range of processes—detecting defective parts on a production line, reducing downtime on the factory floor, automating inventory management and other digitization and automation projects. And she introduces Intel-provided edge computing assets that empower faster localized insights and decisions, improving labor productivity through easy-to-use AI tools that democratize AI.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
AC Atlassian Coimbatore Session Slides( 22/06/2024)apoorva2579
This is the combined Sessions of ACE Atlassian Coimbatore event happened on 22nd June 2024
The session order is as follows:
1.AI and future of help desk by Rajesh Shanmugam
2. Harnessing the power of GenAI for your business by Siddharth
3. Fallacies of GenAI by Raju Kandaswamy
Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment.
How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.