MySQL 企业版功能介绍MySQL 企业版 全球广受欢迎的开源数据库 重要特性 Oracle MySQL 服务云 MySQL 数据库 MySQL 企业级备份 MySQL 企业级高可用性 MySQL 企业级可扩展性 MySQL 企业级身份验证 MySQL 企业级 TDE MySQL 企业级加密 MySQL 企业级防火墙 企业级防火墙 MySQL 企业级审计 MySQL Enterprise Monitor Enterprise Manager for MySQL MySQL Query Analyzer 超过 225 个 MySQL 顾问程序 600 多个受控变量 60 多种性能图表 MySQL Workbench Oracle 标准支持服务 “借助 “借助 MySQL Query Analyzer, 我们可以识别和分析存在问题的 SQL 代码,同时将数据库性能提 升两倍。更加重要的是,我们在三 天内就完成了这一任务,而过去则 需要数周之久。” —Keith Souhrada, 软件开发工程师, Big Fish Games MySQL 企业版提供了全面的高级功能、管理工具和技术支持,实现了高水平的 MySQL 可0 码力 | 6 页 | 509.78 KB | 1 年前3
MySQL Enterprise Edition1 Data Sheet / MySQL Enterprise Edition / Version 2.1 Copyright © 2023, Oracle and/or its affiliates / Public et MySQL Enterprise Edition MySQL Enterprise Edition includes the most the highest levels of MySQL scalability, security, reliability, and uptime. It reduces the risk, cost, and complexity in developing, deploying, and managing business-critical MySQL applications. • Achieve Achieve database high availability using MySQL InnoDB Cluster and MySQL InnoDB ClusterSet • Build, deploy, and manage a private DBaaS and microservices using MySQL Operator for Kubernetes • Meet exponential0 码力 | 2 页 | 375.59 KB | 1 年前3
MySQL Installer GuideMySQL Installer Guide Abstract This document describes MySQL Installer, an application that simplifies the installation and updating process for a wide range of MySQL products, including MySQL Workbench Workbench and MySQL Shell. For notes detailing the changes in each release of MySQL Installer, see MySQL Installer Release Notes. For legal information, see the Legal Notices. For help with using MySQL, please please visit the MySQL Forums, where you can discuss your issues with other MySQL users. Document generated on: 2023-12-18 (revision: 77523) Table of Contents Preface and Legal Notices ...............0 码力 | 42 页 | 448.90 KB | 1 年前3
Реализация MySQL wire протокола в ClickHouseРеализация MySQL wire протокола в ClickHouse Баранов Юрий, 155 Научный руководитель: Миловидов Алексей Николаевич, руководитель группы разработки СУБД ClickHouse Предметная область ClickHouse запросов и загрузки данных отправляются tcp пакеты в некотором формате, называемым протоколом. MySQL - реляционная база данных с открытым исходным кодом и собственным протоколом. 2 Существующие в Возможность использовать существующие реализации клиентов MySQL в различных языках программирования 4 Постановка задачи Ознакомиться с протоколом MySQL Реализовать тестовый сервер Внедрить сервер в ClickHouse0 码力 | 13 页 | 464.59 KB | 1 年前3
Best Practices for MySQL with SSDsBest Practices for MySQL with SSDs Page 1 Best Practices for MySQL with SSDs A whitepaper by: Vijay Balakrishnan Changho Choi Veronica Lagrange Lagrange Hubbert Smith Samsung Semiconductor, Inc. Best Practices for MySQL with SSDs Page 2 Table of Contents 1. Introduction ......................................................... ............................................................................. 3 3. Optimizing MySQL Server and Percona Server for SSDs ..............................................................0 码力 | 14 页 | 416.88 KB | 1 年前3
SQLite 数据转 MysqlSQLite 数据转 Mysql InsMsgServer 3.7.6 当前 InsMsgServer 环境 以下过程在 win7 sp1 x64 系统下完成,如果您的系统不能运行以下相关程序,请将服务器的 db/ 目录下的 IMBase.dat 文件复制到 win7 sp1 x64 系统下完成 利用 InsMsgServer 生成 Mysql 数据库 确保 确保 mysql 数据库中没有 IM 相关库 调整使用 Mysql 作为数据库,并点击启动 确认启动后数据库正确建立 退出 InsMsgServer,确保导入过程中不影响 InsMsgServer 运行 下载 SQLite Data Wizard 地址: http://www.sqlite.org/cvstrac/wiki?p=ConverterTools p=ConverterTools 下载 Mysql workbench 地址:https://dev.mysql.com/downloads/file/?id=474210 启动 Mysql workbench,并增加 mysql 登陆记录 从 SQLite 导出 启动 SQLIite data wizard0 码力 | 17 页 | 1.40 MB | 1 年前3
谈谈MYSQL那点事互联网常用数据库市场占有率 互联网通用架构体制 谈谈 MySQL 数据库那些事 MySQL MySQL 基本介绍 基本介绍 MySQL MySQL 优化方式 优化方式 MySQL MySQL 技巧分享 技巧分享 Q Q & & AA MyISAM MyISAM 特点 特点 MyISAM vs MyISAM vs InnoDB InnoDB • 数据存储方式简单,使用 • 二进制层次的文件可以移植 二进制层次的文件可以移植 (Linux (Linux Windows) Windows) • 访问速度飞快,是所有 访问速度飞快,是所有 MySQL MySQL 文件引擎中速度最快的 文件引擎中速度最快的 • 不支持一些数据库特性,比如 事务、外键约束等 不支持一些数据库特性,比如 事务、外键约束等 • Table level lock Table 读写性能都非常优秀 读写性能都非常优秀 • 能够承载大数据量的存储和访问 能够承载大数据量的存储和访问 • 拥有自己独立的缓冲池,能够缓存数据和索引 拥有自己独立的缓冲池,能够缓存数据和索引 MySQL 架构设计—应用架构 强一致性 对读一致性的权衡,如果是对读写实时性要求非常高的话, 就将读写都放在 M1 上面, M2 只是作为 standby 。 比如,订单处理流程,那么对读需要强一致性,实时写实0 码力 | 38 页 | 2.04 MB | 1 年前3
Analyzing MySQL Logs with ClickHouse© 2018 Percona. 1 Peter Zaitsev Analyzing MySQL Logs with ClickHouse CEO, Percona April 27,2018 © 2018 Percona. 2 ClickHouse is my love at the first sight © 2018 Percona. 3 Why ? Fast and and Efficient Built with Purpose Practical Features Easy to Use MySQL inspired © 2018 Percona. 4 MySQL inspired © 2018 Percona. 5 Why Keep and Analyze Raw Logs ? Raw Logs Contain ultimate store + LZ4) • Typically 100x faster than MySQL on Single Server • Semi-Linear Scalability to 100s of nodes High Performance © 2018 Percona. 8 MySQL Wire Protocol Compatibility with ProxySQL0 码力 | 43 页 | 2.70 MB | 1 年前3
[JavaSE实验] JDBC and MySQL[JavaSE实验] JDBC and MySQL 1 JDBC JDBC is an API for the Java programming language that defines how a client may access a database. It provides methods for querying and updating data in a database. JDBC driver for that database. 2 About MySQL database MySQL is a leading open source database management system. It is a multi user, multithreaded database management system. MySQL is especially popular on the Apache, MySQL, PHP. Currently MySQL is owned by Oracle. MySQL database is available on most important OS platforms. It runs under BSD Unix, Linux, Windows or Mac. Wikipedia and YouTube use MySQL. These0 码力 | 23 页 | 2.52 MB | 1 年前3
sync clickhouse with mysql mongodbSync Clickhouse with MySQL/MongoDB Company: Xiaoxin Tech. Industry: Education Team: Big Data Leader: wangchao@xiaoheiban.cn About 100 billion data this year till now 30 million users We use binlog/oplog CRUD directly Can’t update/delete table frequently in Clickhouse Possible Solutions 2. MySQL Engine Not suitable for big tables Not suitable for MongoDB Possible Solutions 3. Reinit whole Must Listen ● Merge sharding tables ● SolidKey Typical Provider Config { Type: mysql, // mysql, mongodb, redis Listen: binlog, // binlog, kafka DataSource: user:pass@tcp(example0 码力 | 38 页 | 2.25 MB | 1 年前3
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