The document discusses new index features in MySQL 8 including functional indexes, index skip scan, and invisible indexes. Functional indexes allow indexing functions of columns rather than just columns themselves. Index skip scan enables using an index even if the leading column in the index is not referenced in the WHERE clause. Invisible indexes allow indexes to be turned off and hidden from the optimizer for maintenance purposes.
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 describes various features of MySQL Performance Schema. It discusses how Performance Schema provides visibility into SQL statements, prepared statements, stored routines and locks. It provides examples of using Performance Schema tables and views to diagnose issues such as slow queries, full table scans, and locks preventing DDL statements from completing. Hands-on exercises are suggested to practice analyzing statements, prepared statements and stored routines using Performance Schema.
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.
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.
Talk at "Istanbul Tech Talks" in Istanbul, April, 17, 2018. http://www.istanbultechtalks.com/
In this talk I will show how to get started with MySQL Query Tuning. I will make short introduction into physical table structure and demonstrate how it may influence query execution time. Then we will discuss basic query tuning instruments and techniques, mainly EXPLAIN command with its latest variations. You will learn how to understand its output and how to rewrite query or change table structure to achieve better performance.
Demo on Performance Schema which I performed at DevOps Stage conference in Kiev on October 13, 2018. More at https://devopsstage.com/stranitsa-spikera/sveta-smirnova/
This document provides an overview of MySQL concepts for a user who is new to MySQL. It begins with introductions to database instances, schemas, users, and tablespaces. It then covers data types, SELECT statements, indexes, stored routines, triggers, views, and transactions. The document includes explanations and code examples for many of these concepts. It aims to help new MySQL users understand the basic elements and terminology they need to work with MySQL databases.
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 describes various features of MySQL Performance Schema. It discusses how Performance Schema provides visibility into SQL statements, prepared statements, stored routines and locks. It provides examples of using Performance Schema tables and views to diagnose issues such as slow queries, full table scans, and locks preventing DDL statements from completing. Hands-on exercises are suggested to practice analyzing statements, prepared statements and stored routines using Performance Schema.
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.
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.
Talk at "Istanbul Tech Talks" in Istanbul, April, 17, 2018. http://www.istanbultechtalks.com/
In this talk I will show how to get started with MySQL Query Tuning. I will make short introduction into physical table structure and demonstrate how it may influence query execution time. Then we will discuss basic query tuning instruments and techniques, mainly EXPLAIN command with its latest variations. You will learn how to understand its output and how to rewrite query or change table structure to achieve better performance.
Demo on Performance Schema which I performed at DevOps Stage conference in Kiev on October 13, 2018. More at https://devopsstage.com/stranitsa-spikera/sveta-smirnova/
This document provides an overview of MySQL concepts for a user who is new to MySQL. It begins with introductions to database instances, schemas, users, and tablespaces. It then covers data types, SELECT statements, indexes, stored routines, triggers, views, and transactions. The document includes explanations and code examples for many of these concepts. It aims to help new MySQL users understand the basic elements and terminology they need to work with MySQL databases.
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
Mysql8 advance tuning with resource groupMarco Tusa
I have a very noisy secondary application written by a very, very bad developer that accesses my servers, mostly with read queries, and occasionally with write updates. Reads and writes are obsessive and create an impact on the MAIN application. My task is to limit the impact of this secondary application without having the main one affected. To do that I will create two resource groups, one for WRITE and another for READ. The first group, Write_app2, will have no cpu affiliation, but will have lowest priority.
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.
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 MySQL partitioning, including when and why to use partitioning, different types of partitioning, and how to manage partitions. It covers using partitioning for faster deletion of data by dropping partitions, faster queries through partition pruning, and making some operations like adding indexes faster by performing them on individual partitions rather than entire tables. It provides examples and best practices for using partitioning for both short and long term rolling of data.
DBA Commands and Concepts That Every Developer Should Know - Part 2Alex Zaballa
This document provides a summary of several database administration (DBA) commands and concepts relevant for developers. It discusses topics such as count(1) vs count(*), gathering system statistics, setting the DB_FILE_MULTIBLOCK_READ_COUNT parameter, analyzing tables, explaining plans, monitoring SQL performance, full table scans, pending statistics, restoring statistics history, parallel DML, Flashback Query, DBMS_APPLICATION_INFO, schema management, adding columns with defaults, object and system privileges. The document is intended to help developers better understand and work with database concepts.
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.
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.
Solving Performance Problems Using MySQL Enterprise MonitorOracleMySQL
The document discusses using MySQL Enterprise Monitor to diagnose performance problems in a Group Replication cluster. It demonstrates creating a 3-node replication cluster using sandbox instances, loading sample data, and issuing problematic queries. It then shows how the Monitor identifies different types of performance issues from the query analyzer and detected events, including queries with full table scans, sorts, long-running queries, and replication outages.
DBA Commands and Concepts That Every Developer Should KnowAlex Zaballa
The document provides an overview of various DBA commands and concepts that developers should know, including:
- Explain Plan and how it can sometimes provide inaccurate predictions of query performance
- Using DBMS_XPLAN.DISPLAY_CURSOR to view the actual execution plan for a SQL statement
- SQL Monitor and tools like SQLT and SQLD360 for monitoring SQL performance
- Factors that influence whether a full table scan or index scan is more efficient
- The costs associated with maintaining indexes on tables
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality. This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
The document summarizes the query path in MySQL 8.0, including 4 main stages: parsing, resolving, optimizing, and executing. It describes the main components and related code for each stage. For example, the parser converts SQL to an AST using sql_parse.cc. The resolver performs semantic checking and subquery optimizations. The optimizer chooses the most efficient execution plan using statistics and cost modeling. Finally, the executor runs the plan using techniques like nested loops joins, row iterators, and index condition pushdowns. It notes some features not covered like privileges, partitioning, and distribution related optimizations.
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.
The document discusses NoSQL APIs in MySQL. It provides an overview of the memcached caching system and the history of the HandlerSocket protocol. It then describes the NoSQL interface introduced in MySQL 5.6, which allows for memcached-style operations on MySQL data. It notes that MySQL 5.7 further improved the performance and scalability of this interface.
This document provides an overview of SQL tuning concepts and tools in Oracle Database. It discusses the differences between database tuning and SQL tuning. It also covers diagnostic tools like SQL Trace, ASH, EXPLAIN PLAN, AUTOTRACE, and SQL Developer. Active monitoring tools like AWR, SQL Monitor and reactive tools like SQL Diagnostic Tool and SQLD360 are also mentioned. Additional topics include full table scans, adaptive features, statistics, hints, pending statistics, restoring statistics history, and invisible indexes.
MySQL Performance Best Practices document discusses various techniques for optimizing MySQL performance. It covers monitoring performance with tools like MySQL Enterprise Monitor, optimizing configurations such as increasing the InnoDB buffer pool size, balancing data consistency versus performance by adjusting the innodb_flush_log_at_trx_commit setting, and summarizes that monitoring is essential to identify performance issues and test configuration changes before deploying to production.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7 and has been improved in MySQL 8.0. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
This document provides an introduction to using the GNU debugger (GDB) for profiling C function sequences in Oracle databases. It discusses how GDB can be used to attach to running Oracle processes and set breakpoints to pause execution when specific functions are entered. This allows analyzing function call flows and identifying performance bottlenecks. The document also covers limitations of using GDB due to Oracle binaries not containing debug symbols and being dynamically linked.
Oracle Database 12c - New Features for Developers and DBAsAlex Zaballa
This document summarizes a presentation about new features in Oracle Database 12c for developers and DBAs. It introduces JSON support, data redaction, SQL query row limits and offsets, invisible columns, extended data types, session level sequences, and more. Demo sections are included to illustrate several of the new features.
This document discusses five things about SQL and PL/SQL that one may not be aware of. It begins with an agenda that lists five topics: 1) The optimizer is learning from its mistakes; 2) Functions used without using a function; 3) PL/SQL warned you; 4) Location, location, location; 5) The most underutilized really cool feature from five years ago. It then proceeds to provide examples and explanations for each topic.
2019 indit blackhat_honeypot your database serverGeorgi Kodinov
This document discusses using a honeypot technique to detect unauthorized access to a database. It presents an audit plugin called audit_tripwire that can be installed on a MySQL database. The plugin monitors for any non-administrator users accessing predefined "attractive" tables and logs a warning. It then prevents further commands on the database by that user until an administrator intervenes. The document provides example code of how the plugin works and instructions for compiling, installing, and testing it on a sample database.
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
Mysql8 advance tuning with resource groupMarco Tusa
I have a very noisy secondary application written by a very, very bad developer that accesses my servers, mostly with read queries, and occasionally with write updates. Reads and writes are obsessive and create an impact on the MAIN application. My task is to limit the impact of this secondary application without having the main one affected. To do that I will create two resource groups, one for WRITE and another for READ. The first group, Write_app2, will have no cpu affiliation, but will have lowest priority.
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.
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 MySQL partitioning, including when and why to use partitioning, different types of partitioning, and how to manage partitions. It covers using partitioning for faster deletion of data by dropping partitions, faster queries through partition pruning, and making some operations like adding indexes faster by performing them on individual partitions rather than entire tables. It provides examples and best practices for using partitioning for both short and long term rolling of data.
DBA Commands and Concepts That Every Developer Should Know - Part 2Alex Zaballa
This document provides a summary of several database administration (DBA) commands and concepts relevant for developers. It discusses topics such as count(1) vs count(*), gathering system statistics, setting the DB_FILE_MULTIBLOCK_READ_COUNT parameter, analyzing tables, explaining plans, monitoring SQL performance, full table scans, pending statistics, restoring statistics history, parallel DML, Flashback Query, DBMS_APPLICATION_INFO, schema management, adding columns with defaults, object and system privileges. The document is intended to help developers better understand and work with database concepts.
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.
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.
Solving Performance Problems Using MySQL Enterprise MonitorOracleMySQL
The document discusses using MySQL Enterprise Monitor to diagnose performance problems in a Group Replication cluster. It demonstrates creating a 3-node replication cluster using sandbox instances, loading sample data, and issuing problematic queries. It then shows how the Monitor identifies different types of performance issues from the query analyzer and detected events, including queries with full table scans, sorts, long-running queries, and replication outages.
DBA Commands and Concepts That Every Developer Should KnowAlex Zaballa
The document provides an overview of various DBA commands and concepts that developers should know, including:
- Explain Plan and how it can sometimes provide inaccurate predictions of query performance
- Using DBMS_XPLAN.DISPLAY_CURSOR to view the actual execution plan for a SQL statement
- SQL Monitor and tools like SQLT and SQLD360 for monitoring SQL performance
- Factors that influence whether a full table scan or index scan is more efficient
- The costs associated with maintaining indexes on tables
The 5.5 and 5.6 releases of MySQL introduce several new mechanisms that provide improved monitoring and performance tuning functionality. Examples are performance schemas, InnoDB metrics tables, optimizer trace, and extended explain functionality. This session outlines the vision for monitoring-related functionality in MySQL and presents an overview of the new mechanisms. It shows how these are integrated with MySQL management tools. Furthermore, it discusses how these mechanisms can be utilized by application developers, DBAs, and production engineers for tracking down performance issues and monitoring production systems.
The document summarizes the query path in MySQL 8.0, including 4 main stages: parsing, resolving, optimizing, and executing. It describes the main components and related code for each stage. For example, the parser converts SQL to an AST using sql_parse.cc. The resolver performs semantic checking and subquery optimizations. The optimizer chooses the most efficient execution plan using statistics and cost modeling. Finally, the executor runs the plan using techniques like nested loops joins, row iterators, and index condition pushdowns. It notes some features not covered like privileges, partitioning, and distribution related optimizations.
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.
The document discusses NoSQL APIs in MySQL. It provides an overview of the memcached caching system and the history of the HandlerSocket protocol. It then describes the NoSQL interface introduced in MySQL 5.6, which allows for memcached-style operations on MySQL data. It notes that MySQL 5.7 further improved the performance and scalability of this interface.
This document provides an overview of SQL tuning concepts and tools in Oracle Database. It discusses the differences between database tuning and SQL tuning. It also covers diagnostic tools like SQL Trace, ASH, EXPLAIN PLAN, AUTOTRACE, and SQL Developer. Active monitoring tools like AWR, SQL Monitor and reactive tools like SQL Diagnostic Tool and SQLD360 are also mentioned. Additional topics include full table scans, adaptive features, statistics, hints, pending statistics, restoring statistics history, and invisible indexes.
MySQL Performance Best Practices document discusses various techniques for optimizing MySQL performance. It covers monitoring performance with tools like MySQL Enterprise Monitor, optimizing configurations such as increasing the InnoDB buffer pool size, balancing data consistency versus performance by adjusting the innodb_flush_log_at_trx_commit setting, and summarizes that monitoring is essential to identify performance issues and test configuration changes before deploying to production.
The MySQL sys schema was integrated fully into MySQL Server from version 5.7.7 and has been improved in MySQL 8.0. Whether you are a DBA trying to determine where the resources are being used on your database instance and by whom, or a developer trying to figure out why your MySQL statements are running too slowly, the MySQL sys schema can help. Join this session to learn how to better use the MySQL sys schema to answer your day-to-day questions—from the original developer of the MySQL sys schema.
This document provides an introduction to using the GNU debugger (GDB) for profiling C function sequences in Oracle databases. It discusses how GDB can be used to attach to running Oracle processes and set breakpoints to pause execution when specific functions are entered. This allows analyzing function call flows and identifying performance bottlenecks. The document also covers limitations of using GDB due to Oracle binaries not containing debug symbols and being dynamically linked.
Oracle Database 12c - New Features for Developers and DBAsAlex Zaballa
This document summarizes a presentation about new features in Oracle Database 12c for developers and DBAs. It introduces JSON support, data redaction, SQL query row limits and offsets, invisible columns, extended data types, session level sequences, and more. Demo sections are included to illustrate several of the new features.
This document discusses five things about SQL and PL/SQL that one may not be aware of. It begins with an agenda that lists five topics: 1) The optimizer is learning from its mistakes; 2) Functions used without using a function; 3) PL/SQL warned you; 4) Location, location, location; 5) The most underutilized really cool feature from five years ago. It then proceeds to provide examples and explanations for each topic.
2019 indit blackhat_honeypot your database serverGeorgi Kodinov
This document discusses using a honeypot technique to detect unauthorized access to a database. It presents an audit plugin called audit_tripwire that can be installed on a MySQL database. The plugin monitors for any non-administrator users accessing predefined "attractive" tables and logs a warning. It then prevents further commands on the database by that user until an administrator intervenes. The document provides example code of how the plugin works and instructions for compiling, installing, and testing it on a sample database.
Understanding Query Optimization with ‘regular’ and ‘Exadata’ OracleGuatemala User Group
The document discusses query optimization with regular Oracle databases and Exadata databases. It explains what happens when a SQL statement is issued, including parsing, optimization, and execution. It describes what an execution plan is and how it can be generated and displayed. It discusses how operations can be offloaded to storage cells on Exadata and factors the optimizer considers for determining a good execution plan.
This document provides information about new features and improvements in MySQL 8.0. It discusses enhancements to JSON functionality including new functions and indexing support. It also summarizes added functionality for GIS, UUIDs, common table expressions, window functions, and other query optimizations. The document notes that MySQL 8.0 uses utf8mb4 as the default character set for improved Unicode support and performance.
Developers’ mDay u Banjoj Luci - Bogdan Kecman, Oracle – MySQL Server 8.0mCloud
This document provides information about new features and improvements in MySQL 8.0. It discusses enhancements to JSON functionality including new functions and indexing support. It also summarizes added functionality for GIS, Unicode character sets, UUIDs, window functions, common table expressions, and other query optimizations. The document outlines goals of improving performance, manageability, security and standards compliance for MySQL.
The document provides 15 pro-tips for MySQL users, beginning with basic tips like using the correct MySQL version and understanding EXPLAIN plans, and progressing to more advanced tips involving backups, queries, indexing, and database design. Key recommendations include knowing important configuration settings, backing up at the table level, avoiding SELECT * queries, using triggers for consistency, and separating volatile and non-volatile data.
MySQL 8.0 is the latest Generally Available version of MySQL. Discover the new Document Store, using SQL and NoSQL (js, python, CRUD, etc.) with the same database, Data Dictionary, Invisible Indexes, the new default UTF8MB4 charset (for emojis), Windows Functions, Common Table Expressions, and so much more.
DBA Commands and Concepts That Every Developer Should Know - Part 2Alex Zaballa
This document provides a summary of several database administration (DBA) commands and concepts relevant for developers. It discusses topics such as count(1) vs count(*), gathering system statistics, setting the DB_FILE_MULTIBLOCK_READ_COUNT parameter, analyzing tables, explaining plans, monitoring SQL performance, full table scans, pending statistics, restoring statistics history, parallel DML, Flashback Query, DBMS_APPLICATION_INFO, and privileges for reading tables. The document is intended to help developers better understand and work with database configurations and operations.
This document provides 9 hints for optimizing Oracle database performance:
1. Take a methodical and empirical approach to tuning by focusing on root causes, measuring performance before and after changes, and avoiding "silver bullets".
2. Design databases and applications with performance in mind from the beginning.
3. Index wisely by only creating useful indexes that improve performance without excessive overhead.
4. Leverage built-in Oracle tools like DBMS_XPLAN and SQL Trace to measure performance.
5. Tune the optimizer by adjusting parameters and statistics to encourage better execution plans.
6. Focus SQL and PL/SQL tuning on problem queries, joins, sorts, and DML statements.
7. Address
The document discusses several topics related to SQL:
1) SQLNet compression - How ordering data in a query can significantly reduce the amount of data sent over the network by compressing repeated values. Ordering by additional columns further improves compression.
2) NULLs and indexes - There is a misconception that indexes cannot be used with queries involving NULL values, but indexes can support queries searching for NULL values.
3) Subquery caching - Repeated scalar subqueries are cached and evaluated only once to improve performance of queries containing subqueries.
Windowing Functions - Little Rock Tech Fest 2019Dave Stokes
The document outlines Oracle's general product direction but notes that it is non-binding and subject to change. It also contains standard legal disclaimers regarding forward-looking statements and refers readers to Oracle's SEC filings for risks associated with its business and products.
In this first of a series of presentations, we'll overview the differences between SQL and PL/SQL, and the first steps in optimization, as understanding RULE vs. COST, and how to slash 90% response time in data extractions running in SQL*Plus.
MySQL 8 -- A new beginning : Sunshine PHP/PHP UK (updated)Dave Stokes
MySQL 8 has many new features and this presentation covers the new data dictionary, improved JSON functions, roles, histograms, and much more. Updated after SunshinePHP 2018 after feedback
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.
Wellington APAC Groundbreakers tour - Upgrading to the 12c OptimizerConnor McDonald
The 12c optimizer has a vast array of improvements, but of course, functionality changes means that your SQL plans might also change when you upgrade. This slidedeck covers what has changed, and how to ensure better more stable performance when you upgrade.
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.
Everything you always wanted to know about datetime types but didn’t have tim...MartinHanssonOracle
Martin Hansson from Oracle's MySQL Optimizer team presented guidelines for working with date and time types in MySQL. The presentation covered the main datetime types in MySQL, issues around time zones and daylight saving time, and recommendations to stick with ISO formats, avoid invalid dates, prefer NULL over zero dates, use UTC as the server time zone, and generally use DATETIME over TIMESTAMP. The take-home points emphasized following these guidelines to avoid common pitfalls when handling dates and times in MySQL applications and databases.
Hand Rolled Applicative User ValidationCode KataPhilip Schwarz
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
Microservice Teams - How the cloud changes the way we workSven Peters
A lot of technical challenges and complexity come with building a cloud-native and distributed architecture. The way we develop backend software has fundamentally changed in the last ten years. Managing a microservices architecture demands a lot of us to ensure observability and operational resiliency. But did you also change the way you run your development teams?
Sven will talk about Atlassian’s journey from a monolith to a multi-tenanted architecture and how it affected the way the engineering teams work. You will learn how we shifted to service ownership, moved to more autonomous teams (and its challenges), and established platform and enablement teams.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Unveiling the Advantages of Agile Software Development.pdfbrainerhub1
Learn about Agile Software Development's advantages. Simplify your workflow to spur quicker innovation. Jump right in! We have also discussed the advantages.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Drona Infotech is a premier mobile app development company in Noida, providing cutting-edge solutions for businesses.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.