MariaDB AX: Analytics with MariaDB ColumnStoreMariaDB plc
MariaDB ColumnStore is a high performance columnar storage engine that provides fast and efficient analytics on large datasets in distributed environments. It stores data column-by-column for high compression and read performance. Queries are processed in parallel across nodes for scalability. MariaDB ColumnStore is used for real-time analytics use cases in industries like healthcare, life sciences, and telecommunications to gain insights from large datasets.
Abstract: A histogram represents the frequency of data distribution. This histogram can help in predicting a better execution plan. MariaDB and MySQL support HIstogram. Though they serve a common purpose they are implemented differently in MariaDB and MySQL, they have their control knobs. Our Consultants ( Monu Mahto and Madhavan ) articulate how histograms can be used in your production MySQL and MariaDB databases and how it helps in bringing down the execution time.
MariaDB: in-depth (hands on training in Seoul)Colin Charles
MariaDB is a community-developed fork of MySQL that aims to be a drop-in replacement. It focuses on being compatible, stable with no regressions, and feature-enhanced compared to MySQL. The presentation covered MariaDB's architecture including connections, query caching, storage engines, and tools for administration and development like mysql, mysqldump, and EXPLAIN.
New optimizer features in MariaDB releases before 10.12Sergey Petrunya
The document discusses new optimizer features in recent and upcoming MariaDB releases. MariaDB 10.8 introduced JSON histograms and support for reverse-ordered indexes. JSON produced by the optimizer is now valid and processible. MariaDB 10.9 added SHOW EXPLAIN FORMAT=JSON and SHOW ANALYZE can return partial results. MariaDB 10.10 enabled table elimination for derived tables and improved optimization of many-table joins. Future releases will optimize queries on stored procedures and show optimizer timing in EXPLAIN FORMAT=JSON.
Webinar: MariaDB 10.11 key features overview for DBAs
Orgnised by Vettabase
27 April 2023
Amongst other topics:
- Long ALTER TABLES now don’t cause replicas to lag
- InnoDB configuration is now more dynamic, and certain important variables can be modified without a restart
- Populating an empty table is now much faster
- New data types: UUID, INET4, INET6
- SFORMAT() function, NATURAL_KEY_SORT() function
MySQL and MariaDB though they share the same roots for replication .They support parallel replication , but they diverge the way the parallel replication is implemented.
MySQL Parallel Replication (LOGICAL_CLOCK): all the 5.7 (and some of the 8.0)...Jean-François Gagné
Since 5.7.2, MySQL implements parallel replication in the same schema, also known as LOGICAL_CLOCK (DATABASE based parallel replication is also implemented in 5.6 but this is not covered in this talk). In early 5.7 versions, parallel replication was based on group commit (like MariaDB) and 5.7.6 changed that to intervals.
Intervals are more complicated but they are also more powerful. In this talk, I will explain in detail how they work and why intervals are better than group commit. I will also cover how to optimize parallel replication in MySQL 5.7 and what improvements are coming in MySQL 8.0. I will also explain why Group Replication is replicating faster than standard asynchronous replication.
Come to this talk to get all the details about MySQL 5.7 Parallel Replication.
The document discusses the Performance Schema in MySQL. It provides an overview of what the Performance Schema is and how it can be used to monitor events within a MySQL server. It also describes how to configure the Performance Schema by setting up actors, objects, instruments, consumers and threads to control what is monitored. Finally, it explains how to initialize the Performance Schema by truncating existing summary tables before collecting new performance data.
MariaDB MaxScale is a database proxy that provides scalability, high availability, and data streaming capabilities for MariaDB and MySQL databases. It acts as a load balancer and router to distribute queries across database servers. MaxScale supports services like read/write splitting, query caching, and security features like selective data masking. It can monitor replication lag and route queries accordingly. MaxScale uses a plugin architecture and its core remains stateless to provide flexibility and high performance.
MySQL Administrator
Basic course
- MySQL 개요
- MySQL 설치 / 설정
- MySQL 아키텍처 - MySQL 스토리지 엔진
- MySQL 관리
- MySQL 백업 / 복구
- MySQL 모니터링
Advanced course
- MySQL Optimization
- MariaDB / Percona
- MySQL HA (High Availability)
- MySQL troubleshooting
네오클로바
http://neoclova.co.kr/
This document provides an overview and summary of various high availability (HA) solutions for MySQL databases. It begins with an introduction to HA and definitions of key terms. It then discusses MySQL replication, including asynchronous, semi-synchronous, and features in MySQL 5.6 and MariaDB 10.0. Other HA solutions covered include MHA for automated failover, Galera/MariaDB Galera Cluster for synchronous replication, shared disk solutions like DRBD, and MySQL Cluster for in-memory synchronous replication across nodes. The document provides brief descriptions of how each solution works and when it may be applicable.
ProxySQL High Avalability and Configuration Management OverviewRené Cannaò
The document provides an overview of high availability and configuration management options for ProxySQL. It discusses deploying ProxySQL locally on application servers, in a dedicated layer, or using both approaches. When deploying in a dedicated layer, options for high availability include keepalived, load balancers, Consul, and Kubernetes. Configuration can be managed through tools like Ansible, Puppet, or by loading SQL files. ProxySQL Cluster enables syncing configuration across nodes.
This presentation covers all aspects of PostgreSQL administration, including installation, security, file structure, configuration, reporting, backup, daily maintenance, monitoring activity, disk space computations, and disaster recovery. It shows how to control host connectivity, configure the server, find the query being run by each session, and find the disk space used by each database.
MariaDB 10.0 introduces domain-based parallel replication which allows transactions in different domains to execute concurrently on replicas. This can result in out-of-order transaction commit. MariaDB 10.1 adds optimistic parallel replication which maintains commit order. The document discusses various parallel replication techniques in MySQL and MariaDB including schema-based replication in MySQL 5.6 and logical clock replication in MySQL 5.7. It provides performance benchmarks of these techniques from Booking.com's database environments.
MariaDB Server Performance Tuning & OptimizationMariaDB plc
This document discusses various techniques for optimizing MariaDB server performance, including:
- Tuning configuration settings like the buffer pool size, query cache size, and thread pool settings.
- Monitoring server metrics like CPU usage, memory usage, disk I/O, and MariaDB-specific metrics.
- Analyzing slow queries with the slow query log and EXPLAIN statements to identify optimization opportunities like adding indexes.
Up to MySQL 5.5, replication was not crash safe: after an unclean shutdown, it would fail with “duplicate key” or “row not found” error, or might generate silent data corruption. It looks like 5.6 is much better, right ? The short answer is maybe: in the simplest case, it is possible to achieve replication crash safety, but it is not the default setting. MySQL 5.7 is not much better, 8.0 has better defaults, but it is still not replication crash-safe by default, and it is still easy to get things wrong.
Crash safety is impacted by replication positioning (File+Position or GTID), type (single-threaded or MTS), MTS settings (Database or Logical Clock, and with or without slave preserve commit order), the sync-ing of relay logs, the presence of binary logs, log-slave-updates and the sync-ing of binary logs. This is very complicated stuff and even the manual is sometimes confused about it.
In this talk, I will explain the impact of the above and help you find the path to crash safety nirvana. I will also give details about replication internals, so you might learn a thing or two.
*If you see the screen is not good condition, downloading please.*
MariaDB Optimization
- 풀 테이블 스캔
- ORDER BY 처리(Using filesort)
- GROUP BY 처리
- DISTINCT 처리
- 임시 테이블(Using Tempoary)
- 인덱스 컨디션 푸시다운(Index Condition Pushdown, ICP)
- 멀티 레인지 리드(Multi Range Read)
- 인덱스 머지(Index merge)
- 테이블 조인
- 서브 쿼리
MySQL Parallel Replication: All the 5.7 and 8.0 Details (LOGICAL_CLOCK)Jean-François Gagné
To get better replication speed and less lag, MySQL implements parallel replication in the same schema, also known as LOGICAL_CLOCK. But fully benefiting from this feature is not as simple as just enabling it.
In this talk, I explain in detail how this feature works. I also cover how to optimize parallel replication and the improvements made in MySQL 8.0 and back-ported in 5.7 (Write Sets), greatly improving the potential for parallel execution on replicas (but needing RBR).
Come to this talk to get all the details about MySQL 5.7 and 8.0 Parallel Replication.
Optimizing MariaDB for maximum performanceMariaDB plc
When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.
MaxScale is a database proxy that provides high availability and scalability for MariaDB servers. It can be used to configure load balancing of read/write connections, auto failover/switchover/rejoin using MariaDB GTID replication. Keepalived can be used with MaxScale to provide high availability by monitoring MaxScale and failing over if needed. The document provides details on setting up MariaDB replication with GTID, installing and configuring MaxScale and Keepalived. It also describes testing the auto failover functionality.
Getting the most out of MariaDB MaxScaleMariaDB plc
This document discusses how to get the most out of MariaDB MaxScale. It provides an overview of MariaDB MaxScale and the MariaDB platform. It then demonstrates how MariaDB MaxScale can be used to handle multiple paths and listeners, routing queries using hints, masking data, and rerouting queries. Live demos are shown of these MaxScale features. The document concludes by discussing MaxScale's flexible plugin-based architecture and capabilities for load balancing, failover, and transforming queries.
MySQL exposes a collection of tunable parameters and indicators that is frankly intimidating. But a poorly tuned MySQL server is a bottleneck for your PHP application scalability. This session shows how to do InnoDB tuning and read the InnoDB status report in MySQL 5.5.
This document summarizes a presentation about MySQL Group Replication. The presentation discusses how Group Replication provides enhanced high availability for MySQL databases by allowing multiple MySQL servers to act as equal masters that can handle writes and remain available even if one server fails. It covers the theory behind Group Replication, how to configure and use it, and management of Group Replication deployments.
The document discusses the Performance Schema in MySQL. It provides an overview of what the Performance Schema is and how it can be used to monitor events within a MySQL server. It also describes how to configure the Performance Schema by setting up actors, objects, instruments, consumers and threads to control what is monitored. Finally, it explains how to initialize the Performance Schema by truncating existing summary tables before collecting new performance data.
MariaDB MaxScale is a database proxy that provides scalability, high availability, and data streaming capabilities for MariaDB and MySQL databases. It acts as a load balancer and router to distribute queries across database servers. MaxScale supports services like read/write splitting, query caching, and security features like selective data masking. It can monitor replication lag and route queries accordingly. MaxScale uses a plugin architecture and its core remains stateless to provide flexibility and high performance.
MySQL Administrator
Basic course
- MySQL 개요
- MySQL 설치 / 설정
- MySQL 아키텍처 - MySQL 스토리지 엔진
- MySQL 관리
- MySQL 백업 / 복구
- MySQL 모니터링
Advanced course
- MySQL Optimization
- MariaDB / Percona
- MySQL HA (High Availability)
- MySQL troubleshooting
네오클로바
http://neoclova.co.kr/
This document provides an overview and summary of various high availability (HA) solutions for MySQL databases. It begins with an introduction to HA and definitions of key terms. It then discusses MySQL replication, including asynchronous, semi-synchronous, and features in MySQL 5.6 and MariaDB 10.0. Other HA solutions covered include MHA for automated failover, Galera/MariaDB Galera Cluster for synchronous replication, shared disk solutions like DRBD, and MySQL Cluster for in-memory synchronous replication across nodes. The document provides brief descriptions of how each solution works and when it may be applicable.
ProxySQL High Avalability and Configuration Management OverviewRené Cannaò
The document provides an overview of high availability and configuration management options for ProxySQL. It discusses deploying ProxySQL locally on application servers, in a dedicated layer, or using both approaches. When deploying in a dedicated layer, options for high availability include keepalived, load balancers, Consul, and Kubernetes. Configuration can be managed through tools like Ansible, Puppet, or by loading SQL files. ProxySQL Cluster enables syncing configuration across nodes.
This presentation covers all aspects of PostgreSQL administration, including installation, security, file structure, configuration, reporting, backup, daily maintenance, monitoring activity, disk space computations, and disaster recovery. It shows how to control host connectivity, configure the server, find the query being run by each session, and find the disk space used by each database.
MariaDB 10.0 introduces domain-based parallel replication which allows transactions in different domains to execute concurrently on replicas. This can result in out-of-order transaction commit. MariaDB 10.1 adds optimistic parallel replication which maintains commit order. The document discusses various parallel replication techniques in MySQL and MariaDB including schema-based replication in MySQL 5.6 and logical clock replication in MySQL 5.7. It provides performance benchmarks of these techniques from Booking.com's database environments.
MariaDB Server Performance Tuning & OptimizationMariaDB plc
This document discusses various techniques for optimizing MariaDB server performance, including:
- Tuning configuration settings like the buffer pool size, query cache size, and thread pool settings.
- Monitoring server metrics like CPU usage, memory usage, disk I/O, and MariaDB-specific metrics.
- Analyzing slow queries with the slow query log and EXPLAIN statements to identify optimization opportunities like adding indexes.
Up to MySQL 5.5, replication was not crash safe: after an unclean shutdown, it would fail with “duplicate key” or “row not found” error, or might generate silent data corruption. It looks like 5.6 is much better, right ? The short answer is maybe: in the simplest case, it is possible to achieve replication crash safety, but it is not the default setting. MySQL 5.7 is not much better, 8.0 has better defaults, but it is still not replication crash-safe by default, and it is still easy to get things wrong.
Crash safety is impacted by replication positioning (File+Position or GTID), type (single-threaded or MTS), MTS settings (Database or Logical Clock, and with or without slave preserve commit order), the sync-ing of relay logs, the presence of binary logs, log-slave-updates and the sync-ing of binary logs. This is very complicated stuff and even the manual is sometimes confused about it.
In this talk, I will explain the impact of the above and help you find the path to crash safety nirvana. I will also give details about replication internals, so you might learn a thing or two.
*If you see the screen is not good condition, downloading please.*
MariaDB Optimization
- 풀 테이블 스캔
- ORDER BY 처리(Using filesort)
- GROUP BY 처리
- DISTINCT 처리
- 임시 테이블(Using Tempoary)
- 인덱스 컨디션 푸시다운(Index Condition Pushdown, ICP)
- 멀티 레인지 리드(Multi Range Read)
- 인덱스 머지(Index merge)
- 테이블 조인
- 서브 쿼리
MySQL Parallel Replication: All the 5.7 and 8.0 Details (LOGICAL_CLOCK)Jean-François Gagné
To get better replication speed and less lag, MySQL implements parallel replication in the same schema, also known as LOGICAL_CLOCK. But fully benefiting from this feature is not as simple as just enabling it.
In this talk, I explain in detail how this feature works. I also cover how to optimize parallel replication and the improvements made in MySQL 8.0 and back-ported in 5.7 (Write Sets), greatly improving the potential for parallel execution on replicas (but needing RBR).
Come to this talk to get all the details about MySQL 5.7 and 8.0 Parallel Replication.
Optimizing MariaDB for maximum performanceMariaDB plc
When it comes to optimizing the performance of a database, DBAs have to look at everything from the OS to the network. In this session, MariaDB Enterprise Architect Manjot Singh shares best practices for getting the most out of MariaDB. He highlights recommended OS settings, important configuration and tuning parameters, options for improving replication and clustering performance and features such as query result caching.
MaxScale is a database proxy that provides high availability and scalability for MariaDB servers. It can be used to configure load balancing of read/write connections, auto failover/switchover/rejoin using MariaDB GTID replication. Keepalived can be used with MaxScale to provide high availability by monitoring MaxScale and failing over if needed. The document provides details on setting up MariaDB replication with GTID, installing and configuring MaxScale and Keepalived. It also describes testing the auto failover functionality.
Getting the most out of MariaDB MaxScaleMariaDB plc
This document discusses how to get the most out of MariaDB MaxScale. It provides an overview of MariaDB MaxScale and the MariaDB platform. It then demonstrates how MariaDB MaxScale can be used to handle multiple paths and listeners, routing queries using hints, masking data, and rerouting queries. Live demos are shown of these MaxScale features. The document concludes by discussing MaxScale's flexible plugin-based architecture and capabilities for load balancing, failover, and transforming queries.
MySQL exposes a collection of tunable parameters and indicators that is frankly intimidating. But a poorly tuned MySQL server is a bottleneck for your PHP application scalability. This session shows how to do InnoDB tuning and read the InnoDB status report in MySQL 5.5.
This document summarizes a presentation about MySQL Group Replication. The presentation discusses how Group Replication provides enhanced high availability for MySQL databases by allowing multiple MySQL servers to act as equal masters that can handle writes and remain available even if one server fails. It covers the theory behind Group Replication, how to configure and use it, and management of Group Replication deployments.
MySQL Group Replication - HandsOn TutorialKenny Gryp
Group Replication is a plugin for MySQL that provides multi-master replication. It works by having each node send write transactions to other nodes through a group communication system. The writes are certified locally in an asynchronous manner to ensure total order of transactions across all nodes. Group Replication uses optimistic locking where local locks are released right after commit, and conflict detection happens during certification rather than at the start of transactions.
MySQL InnoDB Cluster and Group Replication - OSI 2017 BangaloreSujatha Sivakumar
The document discusses MySQL InnoDB Cluster and Group Replication. It provides an introduction and overview of InnoDB Cluster, outlining the key features and how to get an InnoDB Cluster up and running in 3 steps: deploying instances, creating a cluster, and adding more instances. It also covers setting up and starting a router. For Group Replication, it discusses the concept of replicating writes across multiple servers for high availability and read scaling. It shows how Group Replication achieves consensus on membership, message delivery and state updates across the group.
What you wanted to know about MySQL, but could not find using inernal instrum...Sveta Smirnova
This document discusses various ways that MySQL could provide more detailed instrumentation and troubleshooting information. It begins by noting that while modern versions have online documentation, errors are often discovered from log files after context is lost. It then provides examples of specific bugs filed requesting additional metrics around areas like connections, replication, tracing, and temporary tables to help troubleshoot issues. The document argues that more visibility into internal operations could help identify causes of problems.
Many questions on database newsgroups and forums can be answered with uses of outer joins. Outer joins are part of the standard SQL language and supported by all RDBMS brands. Many programmers are expected to use SQL in their work, but few know how to use outer joins effectively.
Learn to use this powerful feature of SQL, increase your employability, and amaze your friends!
Karwin will explain outer joins, show examples, and demonstrate a Sudoku puzzle solver implemented in a single SQL query.
The document discusses testing HBase source code. It describes the required JAR files for a simple test, inserts test data into HBase tables, and measures the insertion performance. It also summarizes the entry points for HMaster and HRegionServer source code, and describes some common HBase operations like building tables, handling DDL exceptions, flushing, compacting, and splitting regions.
Percona XtraDB Cluster vs Galera Cluster vs MySQL Group ReplicationKenny Gryp
This document provides an overview of different database replication technologies including Galera Cluster, Percona XtraDB Cluster, and MySQL Group Replication. It discusses similarities between the technologies such as multi-master replication topologies and consistency models. Key differences are also outlined relating to node provisioning, failure handling, and operational limitations of each solution. Known issues uncovered through quality assurance testing are also briefly mentioned.
We all have tasks from time to time for bulk-loading external data into MySQL. What's the best way of doing this? That's the task I faced recently when I was asked to help benchmark a multi-terrabyte database. We had to find the most efficient method to reload test data repeatedly without taking days to do it each time. In my presentation, I'll show you several alternative methods for bulk data loading, and describe the practical steps to use them efficiently. I'll cover SQL scripts, the mysqlimport tool, MySQL Workbench import, the CSV storage engine, and the Memcached API. I'll also give MySQL tuning tips for data loading, and how to use multi-threaded clients.
The document discusses MySQL Group Replication, which is a plugin that provides multi-master replication capability for MySQL. It allows data to be replicated between multiple MySQL servers so that they can stay in sync. The replication works by having each server send transaction writesets to other servers through a group communication system, and then each server certifies and applies the changes locally in an asynchronous manner.
The document discusses high availability and scalability in MySQL. It describes various techniques for achieving high availability including replication, clustering, and shared storage solutions. It also discusses different approaches for scaling MySQL including replication, sharding, and clustering. MySQL replication is described as asynchronous with a single master and multiple read-only slaves. MySQL Cluster provides synchronous replication across nodes and automatic failover for high availability.
Designing an extensible, flexible schema that supports user customization is a common requirement, but it's easy to paint yourself into a corner.
Examples of extensible database requirements:
- A database that allows users to declare new fields on demand.
- Or an e-commerce catalog with many products, each with distinct attributes.
- Or a content management platform that supports extensions for custom data.
The solutions we use to meet these requirements is overly complex and the performance is terrible. How should we find the right balance between schema and schemaless database design?
I'll briefly cover the disadvantages of Entity-Attribute-Value (EAV), a problematic design that's an example of the antipattern called the Inner-Platform Effect, That is, modeling an attribute-management system on top of the RDBMS architecture, which already provides attributes through columns, data types, and constraints.
Then we'll discuss the pros and cons of alternative data modeling patterns, with respect to developer productivity, data integrity, storage efficiency and query performance, and ease of extensibility.
- Class Table Inheritance
- Serialized BLOB
- Inverted Indexing
Finally we'll show tools like pt-online-schema-change and new features of MySQL 5.6 that take the pain out of schema modifications.
This document provides an overview and agenda for a presentation on MySQL best practices for DBAs and developers. The presentation covers essential MySQL configuration practices like server SQL mode and storage engines. It also discusses improving SQL, user security, schema optimizations, instrumentation, and monitoring. Specific topics include comment SQL, formatting SQL, future proofing SQL, and analyzing SQL. The document provides examples and recommendations for each topic.
This document provides an overview of techniques for capturing and analyzing SQL queries in MySQL databases. It discusses built-in MySQL options like the slow query log, general query log, and binary log. It also covers other techniques like using MySQL Proxy, TCP/IP capture, Dtrace/SystemTap, and application management. Specific examples are provided for slow query log output, the general query log from WordPress, and the binary log and processlist.
Multi Source Replication With MySQL 5.7 @ VerisureKenny Gryp
Verisure migrated their data warehouse from using Tungsten Replicator to native multi-source replication in MySQL 5.7 to simplify operations. They loaded data from production shards into the new data warehouse setup using XtraBackup backups and improved replication capacity with MySQL's parallel replication features. Some issues were encountered with replication lag reporting and crashes during the upgrade but most were resolved. Monitoring and management tools also required updates to support the new multi-source replication configuration.
Group Replication went Generally Available end of 2016, it introduces a 'synchronous' active:active multi-master eplication, in addition to asynchronous and semi-synchronous replication, the latter 2 being available in in MySQL for longtime.
As with any new feature, and especially with introducing active:active multi-master replication, it takes a while before companies are adopting the software in production database environment.
For example, even though MySQL 5.7 has been GA for more than a year, adoption is only starting to increase recently.
We can, and should, expect the same from Group Replication. As with every release, bugs will be found, and with new features, best practises still need to formed out of practical experience.
After giving a short introduction on what Group Replication is, I will cover my experience so far in evaluating Group Replication.
MySQL Storage Engines - which do you use? TokuDB? MyRocks? InnoDB?Sveta Smirnova
"MySQL Storage Engines - which do you use? TokuDB? MyRocks? InnoDB?" session at https://www.percona.com/live/17/sessions/mysql-storage-engines-which-do-you-use-tokudb-myrocks-innodb
ConFoo MySQL Replication Evolution : From Simple to Group ReplicationDave Stokes
MySQL Replication has been around for many years but how wee do you under stand it? Do you know about read/write splitting, RBR vs SBR style replication, and InnoDB cluster?
Replication allows data to be shared between multiple MySQL databases. The master database records all changes in binary logs which are used to replicate data to slave databases. Slaves pull data from the master's binary logs and execute the same statements locally to match the master's data. This allows for high availability, load balancing, and off-site processing capabilities.
MySQL Replication Evolution -- Confoo Montreal 2017Dave Stokes
MySQL Replication has evolved since the early days with simple async master/slave replication with better security, high availability, and now InnoDB Cluster
MySQL replication allows data from a master database server to be copied to one or more slave database servers. It provides advantages like improving performance through load balancing, increasing data security with backups on slaves, and enabling analytics on slaves without impacting the master. Basic replication involves setting up a master server and slave server with unique IDs, configuring the master to log binary changes, and pointing the slave to the master so it can copy the binary log entries.
Java MySQL Connector & Connection Pool Features & OptimizationKenny Gryp
This talk will give an overview of the different available Java MySQL connectors (Connector/J, MariaDB Java Connector) and connection pools (Commons-DBCP, C3P0, ...).
One of the things with the default configuration of these solutions is that they are very chatty. This can have a noticeable impact on application performance and database load. I've seen many environments where over 50% of the total amount of queries are caused by such behavior. This behavior will be explained through examples seen on production systems as well as recommendations on optimization will be made.
Load balancing and transparent failover solutions will be described for both MySQL's traditional asynchronous replication and Galera based replication (Percona XtraDB Cluster or MariaDB Galera Cluster).
This document discusses MySQL replication basics. Replication allows data from one master database to be replicated to multiple slave databases. The master writes transactions to its binary log which are then read and replicated to slaves via each slave's replication threads. Replication can be used for load balancing, high availability, and backups. Configuration involves assigning server IDs, enabling binary logging on the master, and slaves reading the master's binary log.
This document discusses MySQL replication basics. Replication allows data from one master database to be synchronized to multiple slave databases. The master writes transactions to its binary log which are replicated to slaves. Each node has a unique ID. Slaves pull data from the master's binary logs and execute the transactions locally. Replication can be used for load balancing, high availability, or backups of the master database.
MySQL Replication Basics -Ohio Linux Fest 2016Dave Stokes
This is a bare bones, getting started with MySQL replication presentation showing both GTID and non-GTID replication of MySQL relational databases plus some supporting MySQL utilities
MariaDB Galera Cluster Webinar by Ivan Zoratti on 13.11.2013. Also available as on demand webinar at http://www.skysql.com/why-skysql/webinars/mariadb-galera-cluster-simple-transparent-highly-available
Training Slides: Intermediate 202: Performing Cluster Maintenance with Zero-D...Continuent
Join us for this intermediate training session as we explore how to leverage the power of the Tungsten Clustering to perform database and OS maintenance with zero-downtime. This training is for anyone new to Continuent without prior experience, but will also serve as a wonderful refresher for any current users. Basic MySQL knowledge is assumed.
AGENDA
- Review the cluster architecture
- Describe the rolling maintenance process
- Explore what happens during a master switch
- Discuss cluster states
- Demonstrate rolling maintenance
- Re-cap commands and resources used during the demo
MySQL Replication Update -- Zendcon 2016Dave Stokes
How does MySQL work at a conceptual level and at a how-to-do-it level is covered in this presentation plus information on other replication options like Group Replication and Multi Master
This document provides instructions for setting up different types of MySQL replication architectures:
1) It describes how to configure basic master-slave replication between two servers with step-by-step instructions for configuring the master and slave servers.
2) It also provides a second method for implementing master-slave replication with additional details on configuring the replication user and importing databases.
3) Finally, it outlines how to set up a master-master replication configuration between two MySQL servers to provide high availability, with each server acting as both a master and slave.
Webinar slides: Introducing Galera 3.0 - Now supporting MySQL 5.6Severalnines
You'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks. The benefits are clear; a globally distributed MySQL setup across regions to deliver Severalnines availability and real-time responsiveness.
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
The document discusses high availability options for MySQL databases. It covers MySQL replication, where data is copied from a master to slave servers, allowing for read scaling and failover. MySQL Cluster is also discussed, which provides synchronous replication across nodes for high availability. Other topics include replication techniques, MySQL Cluster architecture and configuration, and additional high availability solutions for applications.
From these slides you'll learn how Galera integrates with MySQL 5.6 and Global Transaction IDs to enable cross-datacenter and cloud replication over high latency networks.
ABOUT GALERA CLUSTER
Galera Cluster for MySQL is a true multi-master MySQL replication plugin, and has been proven in mission-critical infrastructures of companies like Ping Identity, AVG Technologies, KPN and HP Cloud DNS. In this webcast you¹ll learn about the following Galera Cluster capabilities, including the latest innovations in the new 3.0 release:
Galera Cluster features and benefits
Support for MySQL 5.6
Integration with MySQL Global Transaction Identifiers
Mixing Galera synchronous replication and asynchronous MySQL replication
Deploying in WAN and Cloud environments
Handling high-latency networks
Management of Galera
This document provides an introduction to parallel synchronous replication using Percona XtraDB Cluster (PXC). It discusses the limitations of traditional MySQL replication and how PXC implements a data-centric approach with synchronous multi-master replication between nodes. Key features of PXC highlighted include parallel replication, data consistency, and automatic provisioning of new nodes. The document also covers integration with load balancers and limitations to be aware of for write-intensive or large transaction workloads.
Easy MySQL Replication Setup and TroubleshootingBob Burgess
The document describes how to set up basic MySQL replication with three servers - a master and a replica. It explains key replication concepts like the binary log on the master which records all data changes and is used by the replica to apply the same changes. It also provides details on configuration items needed like the server IDs and commands used to control replication like CHANGE MASTER TO, START SLAVE and SHOW SLAVE STATUS.
This document summarizes information about scaling out MariaDB server and cluster with MaxScale. It discusses the ReadWriteSplit and ConnectionRoute routers for scaling out a MariaDB server replication topology. It also discusses using the Galera Monitor and ReadWriteSplit modules to scale out a MariaDB Cluster deployment with MaxScale. Configurations are provided for using these routers and monitors with MaxScale.
Topics covered in this presentation:
1. The difference between traditional (e.g. MySQL) replication and Galera Cluster
2. General Galera Cluster principles
Advanced percona xtra db cluster in a nutshell... la suite plsc2016Frederic Descamps
This is a tutorial I gave with my colleague Kenny Gryp at Percona Live 2016 in Santa Clara
Percona XtraDB Cluster is a high availability and high scalability solution for MySQL clustering. Percona XtraDB Cluster integrates Percona Server with the Galera synchronous replication library in a single product package, which enables you to create a cost-effective MySQL cluster.
For three years at Percona Live, we've introduced people to this technology... but what's next? This tutorial continues your education, and targets users that already have experience with Percona XtraDB Cluster and want to go further.
This tutorial will cover the following topics:
- Bootstrapping in details
- certification errors, understanding and preventing them
- Replication failures, how to deal with them
- Secrets of Galera Cache
- Mastering flow control
- Understanding and verifying replication throughput
- How to use WAN replication
- Implications of consistent reads
- Backups
- Load balancers and proxy protocol
MySQL 2024: Зачем переходить на MySQL 8, если в 5.х всё устраивает?Sveta Smirnova
25 октябрая 2023 года Oracle прекратила активную поддержку MySQL 5.7.
Это значит, что стоит присмотреться к улучшениям в версии 8:
- Новому системному словарю
- Современному SQL
- Поддержке JSON, NoSQL, MySQL Shell, и возможности работать с MySQL как с MongoDB
- Улучшениям в оптимизаторе запросов и диагностике
Мой доклад для разработчиков приложений под MySQL. Я не буду рассказывать как конфигурировать сервер и сфокусируюсь на его использовании.
Database in Kubernetes: Diagnostics and MonitoringSveta Smirnova
Kubernetes is the new cool in 2023. Many database installations are on Kubernetes now. And this creates challenges for Support engineers because traditional monitoring and diagnostic tools work differently on bare hardware and Kubernetes. In this session, I will focus on differences in methods we use to collect metrics, describe challenges that Percona Support hits when working with database installations on Kubernetes, and discuss how we resolve them. This talk will cover all database technologies we support: MySQL, MongoDB, and PostgreSQL.
Presented at Percona Live 2023
MySQL Database Monitoring: Must, Good and Nice to HaveSveta Smirnova
It is very easy to find if a database installation is having issues. You only need to enable Operating System monitoring. A disk, memory, or CPU usage change will alert you about the problems. But they would not show *why* the trouble happens. You need the help of database-specific monitoring tools.
As a Support Engineer, I am always very upset when handling complaints about the database behavior lacking specific database monitoring data because I cannot help!
There are two reasons database and system administrators do not enable necessary instrumentation. The first is a natural or expected performance impact. Second is the lack of knowledge on what needs to be on to resolve a particular issue.
In this talk, I will cover both concerns.
I will show which monitoring instruments will give information on what causes disk, memory, or CPU problems.
I will teach you how to use them.
I will uncover which performance impact these instruments have.
I will use both MySQL command-line client and open-source graphical instrument Percona Monitoring and Management (PMM) for the examples.
This document provides an overview of the MySQL Cookbook by O'Reilly. It discusses the intended audience of database administrators and developers. It also demonstrates different ways of interacting with MySQL, including through the command line interface, MySQL Shell, and X DevAPI. Examples are provided for common tasks like reading, writing, and updating data in both standard SQL and the object-oriented X DevAPI.
MySQL performance can be improved by tuning queries, server options, and hardware. Traditionally it was an area of responsibility for three different roles: Development, DBA, and System Administrators. Now DevOps handle these all. But there is a gap. Knowledge gained by MySQL DBAs after years or focusing on a single product is hard to gain when you focus on more than one. This is why I am doing this session. I will show a minimal but most effective set of options to improve MySQL performance. For illustrations, I will use real user stories gained from my Support experience and Percona Kubernetes operators for PXC and MySQL.
MySQL Test Framework для поддержки клиентов и верификации баговSveta Smirnova
Talk for TestDriven Conf: https://tdconf.ru/2022/abstracts/8763
MySQL Test Framework (MTR) — это фреймворк для регрессионных тестов MySQL. Тесты для него пишут разработчики MySQL и запускаются во время подготовки к новым релизам.
MTR можно использовать и по-другому. Я его использую, чтобы тестировать проблемы, о которых сообщают клиенты, и подтверждать сообщения об ошибках (bug reports) одновременно на нескольких версиях MySQL.
При помощи MTR можно:
* программировать сложные развёртывания;
* тестировать проблему на нескольких версиях MySQL/Percona/MariaDB-серверов при помощи одной команды;
* тестировать несколько одновременных соединений;
* проверять ошибки и возвращаемые значения;
* работать с результатами запросов, хранимыми процедурами и внешними командами.
Тест может быть запущен на любой машине с MySQL-, Percona- или MariaDB-сервером.
Я покажу, как я работаю с MySQL Test Framework, и надеюсь, что вы тоже полюбите этот инструмент.
This document provides an overview of different ways to work with MySQL using standard SQL, X DevAPI, and MySQL Shell utilities. It discusses querying, updating, and exporting/importing data using these different approaches. It also covers topics like character encoding, generating summaries, storing errors, and retrieving metadata. Examples are provided to illustrate concepts like selecting, grouping, joining, changing data, common table expressions, and more using SQL and X DevAPI. MySQL Shell utilities for exporting/importing CSV, JSON, and working with collections are also demonstrated.
Introduction into MySQL Query Tuning for Dev[Op]sSveta Smirnova
Percona Live Online 2021 talk: https://www.percona.com/resources/videos/introduction-mysql-query-tuning-for-devops
In this talk I will show how to get started with MySQL Query Tuning. I will make a 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 queries or change table structure to achieve better performance.
Talk for the DevOps Pro Moscow 2021: https://www.devopspro.ru/Sveta-Smirnova/
Производительность MySQL можно улучшить при помощи оптимизации запросов, настроек MySQL сервера и железа. Традиционно эти задачи распределялись между тремя ролями: Разработчик, Администратор баз данных и Системный Администратор. Теперь же все эти задачи решает DevOps, что непросто для одного человека. В этом докладе я расскажу об основных оптимизациях, которые решают большинство проблем производительности MySQL. Для иллюстраций я буду использовать реальные пользовательские истории и Percona Kubernetes Operator.
This document provides an overview of optimizing MySQL performance for DevOps. It discusses hardware configuration including memory, disk, CPU and network. It covers important MySQL configuration options like InnoDB settings. It also discusses query tuning techniques like using indexes to improve query performance.
How to Avoid Pitfalls in Schema Upgrade with Percona XtraDB ClusterSveta Smirnova
Percona XtraDB Cluster (PXC) is a 100% synchronized cluster in regards to DML operations. It is ensured by the optimistic locking model and ability to rollback transaction which cannot be applied on all nodes. However, DDL operations are not transactional in MySQL. This adds complexity when you need to change the schema of the database.
Changes made by DDL may affect the results of the queries. Therefore all modifications must replicate on all nodes prior to the next data access. For operations that run momentarily, it can be easily achieved, but schema changes may take hours to apply. Therefore in addition to the safest synchronous blocking schema upgrade method: TOI, - PXC supports more relaxed, though not safe, method RSU.
RSU: Rolling Schema Upgrade is advertised to be non-blocking. But you still need to take care of updates, running while you are performing such an upgrade. Surprisingly, even updates on not related tables and schema can cause RSU operation to fail.
In this talk, I will uncover nuances of PXC schema upgrades and point to details you need to take special care about.
Further Information
Schema change is a frequent task, and many do not expect any surprises with it. However, the necessity to replay the changes to all synchronized nodes adds complexity. I made a webinar on a similar topic which was recorded and available for replay. Now I have found that I share a link to the webinar to my Support customers approximately once per week. Not having a good understanding of how schema change works in the cluster leads to lockups and operation failures. This talk will provide a checklist that will help to choose the best schema change method.
Presented at Percona Live Online: https://perconaliveonline2020.sched.com/event/ePm2/how-to-avoid-pitfalls-in-schema-upgrade-with-percona-xtradb-cluster
How to migrate from MySQL to MariaDB without tearsSveta Smirnova
Presented at MariaDB Server Fest 2020: https://mariadb.org/fest2020/migrate-mysql/
MariaDB is a drop-in replacement for MySQL. Initial migration is simple: start MariaDB over the old MySQL datadir.
Later your application may notice that some features work differently than with MySQL. These are MariaDB improvements, so this is good and, likely the reason you migrated.
In this session, I will focus on the differences affecting application performance and behavior. In particular, features sharing the same name, but working differently.
Modern solutions for modern database load: improvements in the latest MariaDB...Sveta Smirnova
Presented at MariaDB Server Fest 2020: https://mariadb.org/fest2020/improvements/
MariaDB is famous for working well in high-performance environments. But our view of what to call high-performance changes over time. Every year we get faster data transfer speed; more devices connected to the Internet; more users and, as a result, more data.
Challenges, which developers have to solve, are getting harder. This session shows what engineers do to keep the product up to date, focusing on MariaDB improvements that make it different from its predecessor, MySQL.
How Safe is Asynchronous Master-Master Setup?Sveta Smirnova
Presented at Percona MySQL Tech Day on September 10, 2020: https://www.percona.com/tech-days#mysql
It is common knowledge that built-in asynchronous active-active replication is not safe. I remember times when the official MySQL User Reference Manual stated that such an installation is not recommended for production use. Some experts repeat this claim even now.
While this statement is generally true, I worked with thousands of shops that successfully avoided asynchronous replication limitations in active-active setups.
In this talk, I will show how they did it, demonstrate situations when asynchronous source-source replication is the best possible high availability option and beats such solutions as Galera or InnoDB Clusters. I will also cover common mistakes, leading to disasters.
Современному хайлоду - современные решения: MySQL 8.0 и улучшения PerconaSveta Smirnova
MySQL всегда использовали под высокой нагрузкой. Недаром эта база была и остаётся самым популярным бэкэндом для web. Однако наши представления о хайлоде с каждым годом расширяются. Большая скорость передачи данных -> больше устройств с подключением к интернет -> больше пользователей -> больше данных.
Задачи, стоящие перед разработчиками MySQL, с каждым годом усложняются.
В этом докладе я расскажу как менялись сценарии использования MySQL за [почти] 25 лет её истории и что делали инженеры, чтобы MySQL оставалась актуальной. Мы затронем такие темы, как работа с большим количеством активных соединений и высокими объёмами данных. Я покажу насколько современные версии лучше справляются с возросшими нагрузками.
Я надеюсь, что после моего доклада те слушатели, которые используют старые версии, захотят обновиться и те, кто уже обновились, узнают как использовать современный MySQL на полную мощность.
Прочитана на конференции OST 2020: https://ostconf.com/materials/2857#2857
How to Avoid Pitfalls in Schema Upgrade with GaleraSveta Smirnova
This document discusses different methods for performing schema upgrades in a Galera cluster, including Total Order Isolation (TOI), Rolling Schema Upgrade (RSU), and the pt-online-schema-change tool. TOI blocks the entire cluster during DDL but ensures consistency, while RSU allows upgrades without blocking the cluster but requires stopping writes and carries risks of inconsistency. Pt-online-schema-change performs non-blocking upgrades using triggers to copy rows to a new table in chunks.
How Safe is Asynchronous Master-Master Setup?Sveta Smirnova
This document discusses the risks of using asynchronous master-master replication for MySQL databases and provides strategies for setting it up safely. It explains that having two nodes actively accepting writes can lead to conflicts like duplicate key errors. It recommends dividing writes across nodes by database, table, or row to avoid conflicts. The document also discusses using synchronous replication tools like Galera to ensure consistency across nodes at the cost of reduced performance.
Introduction to MySQL Query Tuning for Dev[Op]sSveta Smirnova
To get data, we query the database. MySQL does its best to return requested bytes as fast as possible. However, it needs human help to identify what is important and should be accessed in the first place.
Queries, written smartly, can significantly outperform automatically generated ones. Indexes and Optimizer statistics, not limited to the Histograms only, help to increase the speed of the query a lot.
In this session, I will demonstrate by examples of how MySQL query performance can be improved. I will focus on techniques, accessible by Developers and DevOps rather on those which are usually used by Database Administrators. In the end, I will present troubleshooting tools which will help you to identify why your queries do not perform. Then you could use the knowledge from the beginning of the session to improve them.
Billion Goods in Few Categories: How Histograms Save a Life?Sveta Smirnova
We store data with an intention to use it: search, retrieve, group, sort... To do it effectively the MySQL Optimizer uses index statistics when compiles the query execution plan. This approach works excellently unless your data distribution is not even.
Last year I worked on several tickets where data follow the same pattern: millions of popular products fit into a couple of categories and rest used the rest. We had a hard time to find a solution for retrieving goods fast. We offered workarounds for version 5.7. However new MariaDB and MySQL 8.0 feature: histograms, - would work better, cleaner and faster. The idea of the talk was born.
Of course, histograms are not a panacea and do not help in all situations.
I will discuss:
how index statistics physically stored by the storage engine
which data exchanged with the Optimizer
why it is not enough to make correct index choice
when histograms can help and when they cannot
differences between MySQL and MariaDB histograms
A Billion Goods in a Few Categories: When Optimizer Histograms Help and When ...Sveta Smirnova
Last year this session’s speaker worked on several cases where data followed the same pattern: millions of popular products fit into a couple of categories, and the rest uses the rest. Her team had a hard time finding a solution for retrieving goods quickly. MySQL 8.0 has a feature that resolves such issues: optimizer histograms, storing statistics of an exact number of values in each data bucket. In real life, histograms don’t help with all queries accessing nonuniform data. How you write a statement, the number of rows in the table, data distribution: All of these may affect the use of histograms. This presentation shows examples demonstrating how the optimizer works in each case, describes how to create histograms, and covers differences between MySQL and Oracle implementations.
Not So Common Memory Leaks in Java WebinarTier1 app
This SlideShare presentation is from our May webinar, “Not So Common Memory Leaks & How to Fix Them?”, where we explored lesser-known memory leak patterns in Java applications. Unlike typical leaks, subtle issues such as thread local misuse, inner class references, uncached collections, and misbehaving frameworks often go undetected and gradually degrade performance. This deck provides in-depth insights into identifying these hidden leaks using advanced heap analysis and profiling techniques, along with real-world case studies and practical solutions. Ideal for developers and performance engineers aiming to deepen their understanding of Java memory management and improve application stability.
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Pixologic ZBrush, now developed by Maxon, is a premier digital sculpting and painting software renowned for its ability to create highly detailed 3D models. Utilizing a unique "pixol" technology, ZBrush stores depth, lighting, and material information for each point on the screen, allowing artists to sculpt and paint with remarkable precision .
Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
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F-Secure Freedome VPN is a virtual private network service developed by F-Secure, a Finnish cybersecurity company. It offers features such as Wi-Fi protection, IP address masking, browsing protection, and a kill switch to enhance online privacy and security .
Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora
Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.
What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
Secure Test Infrastructure: The Backbone of Trustworthy Software DevelopmentShubham Joshi
A secure test infrastructure ensures that the testing process doesn’t become a gateway for vulnerabilities. By protecting test environments, data, and access points, organizations can confidently develop and deploy software without compromising user privacy or system integrity.
Why Orangescrum Is a Game Changer for Construction Companies in 2025Orangescrum
Orangescrum revolutionizes construction project management in 2025 with real-time collaboration, resource planning, task tracking, and workflow automation, boosting efficiency, transparency, and on-time project delivery.
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Adobe After Effects is a software application used for creating motion graphics, special effects, and video compositing. It's widely used in TV and film post-production, as well as for creating visuals for online content, presentations, and more. While it can be used to create basic animations and designs, its primary strength lies in adding visual effects and motion to videos and graphics after they have been edited.
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
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How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Why MySQL Replication Fails, and How to Get it Back
1. Why MySQL Replication Fails,
and How to Get it Back
September, 26, 2017
Sveta Smirnova
2. ∙ MySQL Support engineer
∙ Author of
∙ MySQL Troubleshooting
∙ JSON UDF functions
∙ FILTER clause for MySQL
∙ Speaker
∙ Percona Live, OOW, Fosdem,
DevConf, HighLoad...
Sveta Smirnova
2
28. $ perror 1045
MySQL error code 1045 (ER_ACCESS_DENIED_ERROR): Access denied for user ’%-.48s’@’%-.64s’
(using password: %s)
#4: perror
22
29. ∙ On the slave
$ mysql -h127.0.0.1 -P13000 -uslave_user -pslave_password
Warning: Using a password on the command line interface can be insecure.
ERROR 1045 (28000): Access denied for user ’slave_user’@’localhost’ (using password: YES
#5: MySQL Command Line Client
23
30. ∙ On the slave
∙ On the master
mysql> SHOW GRANTS;
+-----------------------------------------+
| Grants for slave_user@% |
+-----------------------------------------+
| GRANT SELECT ON *.* TO ’slave_user’@’%’ |
+-----------------------------------------+
1 row in set (0.00 sec)
#5: MySQL Command Line Client
23
31. ∙ On the slave
∙ On the master
∙ Fix privileges on master
GRANT REPLICATION SLAVE
ON *.* TO ’slave user’@’%’
#5: MySQL Command Line Client
23
32. ∙ On the slave
∙ On the master
∙ Fix privileges on master
∙ Restart replication
#5: MySQL Command Line Client
23
38. ∙ Writes on master are slower
Semisynchrous: Troubleshooting
25
39. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
Semisynchrous: Troubleshooting
25
40. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ Before 5.7: from single slave
Semisynchrous: Troubleshooting
25
41. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ Before 5.7: from single slave
∙ Now in MySQL:
rpl semi sync master wait for slave count
Semisynchrous: Troubleshooting
25
42. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ Before 5.7: from single slave
∙ Now in MySQL:
rpl semi sync master wait for slave count
∙ Won’t wait others
Semisynchrous: Troubleshooting
25
43. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ What happens in case of timeout?
Semisynchrous: Troubleshooting
25
44. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ What happens in case of timeout?
∙ Replication becomes asynchronous
Semisynchrous: Troubleshooting
25
45. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ What happens in case of timeout?
∙ What does ”Ack” mean?
Semisynchrous: Troubleshooting
25
46. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ What happens in case of timeout?
∙ What does ”Ack” mean?
∙ Event written into relay log
Semisynchrous: Troubleshooting
25
47. ∙ Writes on master are slower
∙ How many ”Ack”-s master waits?
∙ What happens in case of timeout?
∙ What does ”Ack” mean?
∙ Event written into relay log
∙ It is unknown if event applied
Semisynchrous: Troubleshooting
25
59. mysql> select WORKER_ID, SERVICE_STATE, LAST_SEEN_TRANSACTION, LAST_ERROR_NUMBER,
-> LAST_ERROR_MESSAGE from performance_schema.replication_applier_status_by_workerG
*************************** 1. row ***************************
WORKER_ID: 1
SERVICE_STATE: OFF
LAST_SEEN_TRANSACTION: d318bc17-66dc-11e6-a471-30b5c2208a0f:4988
LAST_ERROR_NUMBER: 0
LAST_ERROR_MESSAGE:
*************************** 2. row ***************************
WORKER_ID: 3
SERVICE_STATE: OFF
LAST_SEEN_TRANSACTION: d318bc17-66dc-11e6-a471-30b5c2208a0f:4986
LAST_ERROR_NUMBER: 1032
LAST_ERROR_MESSAGE: Worker 2 failed executing transaction...
#6: Error of One Thread Stops All
32
60. MariaDB [test]> select id, command, time, state from information_schema.processlist
-> where user=’system user’;
+----+---------+------+------------------------------------------------------------------+
| id | command | time | state |
+----+---------+------+------------------------------------------------------------------+
| 25 | Connect | 4738 | Waiting for master to send event |
| 24 | Connect | 5096 | Slave has read all relay log; waiting for the slave I/O thread t |
| 23 | Connect | 0 | Waiting for work from SQL thread |
| 22 | Connect | 0 | Unlocking tables |
| 21 | Connect | 0 | Update_rows_log_event::ha_update_row(-1) |
| 20 | Connect | 0 | Waiting for prior transaction to start commit before starting ne |
| 19 | Connect | 0 | Update_rows_log_event::ha_update_row(-1) |
| 18 | Connect | 0 | Update_rows_log_event::ha_update_row(-1) |
| 17 | Connect | 0 | Update_rows_log_event::find_row(-1)
...
#6: Error of One Thread Stops All
32
61. ∙ Different data
∙ Slave cannot apply event from relay log
Which Kind of Errors?
33
62. ∙ Different data
∙ Slave cannot apply event from relay log
∙ Different errors on master and slave
∙ Triggers
∙ Transactional and non-transactional tables in
the same transaction
Which Kind of Errors?
33
63. ∙ Did table change outside of the replication?
∙ How?
∙ Can it cause conflict with changes on the
master?
Different Data on Master and Slave
34
64. ∙ Did table change outside of the replication?
∙ Are table structures identical?
∙ Percona Toolkit
pt-table-checksum, pt-table-sync
∙ MySQL Utilities
mysqlrplsync, mysqldbcompare, mysqldiff
Different Data on Master and Slave
34
65. ∙ Did table change outside of the replication?
∙ Are table structures identical?
∙ Are changes in the correct order?
∙ mysqlbinlog
∙ Application logic on the master
Different Data on Master and Slave
34
70. Master
Recieves a change
Sends to SE →
Writes into binary log
Storage Engine
Writes into table
← Returns control
Logical
35
71. Master
Recieves a change
Sends to SE →
Writes into binary log
Synchronizes →
Storage Engine
Writes into table
← Returns control
← Synchronizes
Logical
35
85. ∙ Exists since very first versions
∙ Table definitions on master and slave can
significantly vary
SBR: Strong Sides
39
86. ∙ Exists since very first versions
∙ Table definitions on master and slave can
significantly vary
∙ Usually less writes
∙ There are exceptions!
SBR: Strong Sides
39
87. ∙ Exists since very first versions
∙ Table definitions on master and slave can
significantly vary
∙ Usually less writes
∙ Human readable
SBR: Strong Sides
39
88. ∙ Exists since very first versions
∙ Table definitions on master and slave can
significantly vary
∙ Usually less writes
∙ Human readable
∙ Easy to troubleshoot
SBR: Strong Sides
39
89. mysql> SHOW BINLOG EVENTS IN ’mysql-bin.000316’ FROM 422;
+------------------+-----+------------+------------+-------------+---------------------------------+
| Log_name | Pos | Event_type | Server_id | End_log_pos | Info |
+------------------+-----+------------+------------+-------------+---------------------------------+
| mysql-bin.000316 | 422 | Query | 1456667904 | 509 | BEGIN |
| mysql-bin.000316 | 509 | Query | 1456667904 | 609 | use ‘PgDay‘; update ai set f1=1 |
| mysql-bin.000316 | 609 | Xid | 1456667904 | 640 | COMMIT /* xid=60328 */ |
+------------------+-----+------------+------------+-------------+---------------------------------+
3 rows in set (0,12 sec)
#7: SHOW BINLOG EVENTS
40
90. ∙ Not all queries are safe
∙ Non-deterministic functions
∙ MySQL extentions
∙ Triggers
∙ Mix with non-transactional tables
∙ Temporary tables
SBR: Weak Sides
41
91. ∙ Not all queries are safe
∙ Order of events matter!
∙ Row-based locks
SBR: Weak Sides
41
92. ∙ Not all queries are safe
∙ Order of events matter!
∙ Row-based locks
∙ Triggers
SET GLOBAL slave skip counter – No GTIDs!
Skip transaction – GTIDs
Synchronize tables!
SBR: Weak Sides
41
97. Client
UPDATE ... →
Binary log
SET TIMESTAMP...
SET sql mode...
Row before changes
Row-Based Binary Log Format
42
98. Client
UPDATE ... →
Binary log
SET TIMESTAMP...
SET sql mode...
Row before changes
Row with changes
Row-Based Binary Log Format
42
99. ∙ Safe
∙ You do not need to care about
Order of events
Triggers
Functions
Which queries you send to master
RBR: Strong Sides
43
100. ∙ Sensitive for table structures
∙ More writes
∙ --binlog row image=FULL | MINIMAL | NOBLOB
∙ Harder to read
RBR: Weak Sidex
44
101. $ mysqlbinlog ./mysqld.1/data/master-bin.000001 --start-position=989 --stop-position=1213
...
# at 1167
#160822 14:15:11 server id 1 end_log_pos 1213 CRC32 0x1f346c6b
Update_rows: table id 109 flags: STMT_END_F
BINLOG ’
v966VxMBAAAAKwAAAI8EAAAAAG0AAAAAAAEAAm0yAAJ0MQABAwABY2HOoQ==
v966Vx8BAAAALgAAAL0EAAAAAG0AAAAAAAEAAgAB///+BQAAAP4GAAAAa2w0Hw==
’/*!*/;
ROLLBACK /* added by mysqlbinlog */ /*!*/;
SET @@SESSION.GTID_NEXT= ’AUTOMATIC’ /* added by mysqlbinlog */ /*!*/;
...
#8: mysqlbinlog
45
102. $ mysqlbinlog -v ./mysqld.1/data/master-bin.000001 --start-position=989 --stop-position=1213
...
# at 1167
#160822 14:15:11 server id 1 end_log_pos 1213 CRC32 0x1f346c6b
Update_rows: table id 109 flags: STMT_END_F
BINLOG ’
v966VxMBAAAAKwAAAI8EAAAAAG0AAAAAAAEAAm0yAAJ0MQABAwABY2HOoQ==
v966Vx8BAAAALgAAAL0EAAAAAG0AAAAAAAEAAgAB///+BQAAAP4GAAAAa2w0Hw==
’/*!*/;
### UPDATE ‘m2‘.‘t1‘
### WHERE
### @1=5
### SET
### @1=6
ROLLBACK /* added by mysqlbinlog */ /*!*/;
SET @@SESSION.GTID_NEXT= ’AUTOMATIC’ /* added by mysqlbinlog */ /*!*/;
#8: mysqlbinlog
46
103. ∙ You must specify
∙ Name of the master’s binary log file
∙ Position
Position-Based
47
104. ∙ You must specify
∙ Name of the master’s binary log file
∙ Position
∙ From the troubleshooting point of view
∙ Event executes if on the current position
Position-Based
47
105. ∙ You must specify
∙ Name of the master’s binary log file
∙ Position
∙ From the troubleshooting point of view
∙ Event executes if on the current position
∙ Easy to skip
Position-Based
47
106. ∙ You must specify
∙ Name of the master’s binary log file
∙ Position
∙ From the troubleshooting point of view
∙ Event executes if on the current position
∙ Easy to skip
∙ Easy to move position backward
Position-Based
47
107. ∙ You must specify
∙ Name of the master’s binary log file
∙ Position
∙ From the troubleshooting point of view
∙ Event executes if on the current position
∙ Easy to skip
∙ Easy to move position backward
∙ No conflict resolution
Position-Based
47
108. ∙ Each transaction has unique number: GTID
Global Transaction Identifiers (GTID)
48
109. ∙ Each transaction has unique number: GTID
∙ MySQL: AUTO POSITION=1
Global Transaction Identifiers (GTID)
48
110. ∙ Each transaction has unique number: GTID
∙ MySQL: AUTO POSITION=1
∙ MariaDB: master use gtid = { slave pos | current pos }
Global Transaction Identifiers (GTID)
48
111. ∙ Each transaction has unique number: GTID
∙ MySQL: AUTO POSITION=1
∙ MariaDB: master use gtid = { slave pos | current pos }
∙ No need to specify binary log and position
Global Transaction Identifiers (GTID)
48
112. ∙ Each transaction has unique number: GTID
∙ MySQL: AUTO POSITION=1
∙ MariaDB: master use gtid = { slave pos | current pos }
∙ No need to specify binary log and position
∙ Hard to skip erroneous event
Global Transaction Identifiers (GTID)
48
113. sveta@thinkie> mysqlslavetrx --gtid-set=fb776095-8474-11e5-ad41-30b5c2208a0f:3
--slaves=root:@127.0.0.1:13001
WARNING: Using a password on the command line interface can be insecure.
#
# GTID set to be skipped for each server:
# - 127.0.0.1@13001: fb776095-8474-11e5-ad41-30b5c2208a0f:3
#
# Injecting empty transactions for ’127.0.0.1:13001’...
#
#...done.
#
#9: mysqlslavetrx
49
122. ∙ Multiple sets of relay logs
∙ Multiple IO threads
∙ Multiple SQL threads
∙ MySQL: --slave parallel workers for each
Multi-Master: Troubleshooting
56
123. ∙ Multiple sets of relay logs
∙ Multiple IO threads
∙ Multiple SQL threads
∙ MySQL: --slave parallel workers for each
∙ Independent channels
Multi-Master: Troubleshooting
56
124. ∙ Multiple sets of relay logs
∙ Multiple IO threads
∙ Multiple SQL threads
∙ MySQL: --slave parallel workers for each
∙ Independent channels
∙ Error in one stops only one
Multi-Master: Troubleshooting
56
125. ∙ Multiple sets of relay logs
∙ Multiple IO threads
∙ Multiple SQL threads
∙ MySQL: --slave parallel workers for each
∙ Independent channels
∙ Error in one stops only one
∙ No automatic conflict resolution
Multi-Master: Troubleshooting
56
128. ∙ Error log file
∙ On the slave
∙ SHOW SLAVE STATUS
∙ MySQL: Tables in Performance Schema
∙ System database mysql
Basic Tools
58
129. ∙ Error log file
∙ On the slave
∙ On the master
∙ SHOW MASTER STATUS
∙ SHOW BINLOG EVENTS
∙ mysqlbinlog
Basic Tools
58
130. ∙ Error log file
∙ On the slave
∙ On the master
∙ Percona Toolkit
Basic Tools
58
131. ∙ Error log file
∙ On the slave
∙ On the master
∙ Percona Toolkit
∙ MySQL Utilities
Basic Tools
58
132. ∙ Always available, requires setup
∙ Asynchronous
∙ Master
∙ Keeps all changes in the binary log
Two formats: ROW and STATEMENT
∙ Slave
∙ IO thread reads from the master into relay log
∙ SQL thread executes updates
Multiple SQL threads in 5.6+
Multiple channels/sources (masters) in 5.7+
∙ GTID in 5.6+
Replication Must Know
59
133. ∙ Master
∙ Same as for standalone server
∙ More writes and consistency checks
Typical Issues
60
134. ∙ Master
∙ Slave IO thread
∙ Common network issues
∙ mysql command line client for tests
Typical Issues
60
135. ∙ Master
∙ Slave IO thread
∙ Slave SQL thread
∙ Regular query-related issues
∙ Regular storage engine issues
∙ Less execution threads than on master
Typical Issues
60
136. ∙ Basic Techniques – troubleshooting
webinar
∙ Troubleshooting hardware resource usage
∙ Introduction into storage engine
troubleshoot...
∙ Percona Toolkit
∙ MySQL Utilities
∙ Book MySQL High Availability
∙ MySQL Replication Team blog
More Information
61