自2010年以来,IT168联合旗下ITPUB、ChinaUnix两大技术社区,已经成功举办了六届中国数据库技术大会(DTCC),业已成为国内最受欢迎、人气最高的的数据库技术交流盛会。在今年5月12-14号,第七届中国数据库大会如约而至,到场的技术大牛们又将带来什么样的干
自2010年以来,IT168联合旗下ITPUB、ChinaUnix两大技术社区,已经成功举办了六届中国数据库技术大会(DTCC),业已成为国内最受欢迎、人气最高的的数据库技术交流盛会。在今年5月12-14号,第七届中国数据库大会如约而至,到场的技术大牛们又将带来什么样的干货呢?
DTCC 2016的主题为"数据定义未来",顾名思义,数据传输、云数据库、大数据等热点话题将成为本届大会的焦点。和往年一样,第七届DTCC会议依旧云集了国内外顶尖的技术专家,包括甲骨文、网易、阿里巴巴等一流互联网公司。而这些互联网巨头们也将在DTCC上分享自己在数据方面的实践经验。
首先在数据加速技术专场,就包括来自网易和腾讯的技术专家,其中来自网易杭州研究院的服务端技术专家邱似峰,自2007年浙大计算机系毕业后,一直在网易公司从事服务端开发工作,先后领导了分布式数据库、分布式文件系统、云存储平台、云数据库平台、视频云产品的研发工作,在超大规模分布式系统和高性能服务器开发方面有丰富实战经验。在5月12号的中国数据库技术大会上,邱似峰将从用户角度出发分享网易视频云在数据传输方面的优化实战,涵盖了开发者比较关注的热门话题,诸如如何让用户能够通过互联网最快的获取到云端的数据?如何能够保证在弱网条件下用户体验最佳?作为承载了整个网易公司多媒体类应用的基础技术平台,网易视频云在数据传输优化方面有着丰富的实战经验,在全球范围内构建起了数据上下行加速体系,并从各种维度进行深度技术优化。一向以低调和深耕技术著称的网易自然是DTCC不容忽视的主角。
其次NoSQL技术实践引发关注。随着互联网web2.0网站的兴起,传统的关系数据库在应付超大规模和高并发纯动态网站时已经显得力不从心,而NoSQL等非关系型的数据库则由于其本身的特点得到了非常迅速的发展。本届DTCC上NoSQL也被作为一个单独的分会场,届时将有来自网易游戏、腾讯互娱、58同城等公司的技术专家分享NoSQL方面的技术实践。其中MongoDB作为基于分布式文件存储的数据库,在DTCC上被多位专家作为分享案例,包括MongoDB 大中华区首席技术顾问。
最后值得一提的是,今年的DTCC共设定了2个主会场和24个分会场,预计将吸引3000多名IT人士参会。会议分享与讨论的内容更是包含了MySQL、NoSQL、Oracle、缓存技术、云端数据库、智能数据平台、大数据安全、数据治理、大数据和开源、大数据创业、大数据深度学习等领域的前瞻性热点话题与技术,是名副其实的“数据库”,而网易视频云、甲骨文等行业专家的分享将为数据库人群、大数据从业人员、广大互联网人士及行业相关人士提供最具价值的交流和探讨。

MySQL uses a GPL license. 1) The GPL license allows the free use, modification and distribution of MySQL, but the modified distribution must comply with GPL. 2) Commercial licenses can avoid public modifications and are suitable for commercial applications that require confidentiality.

The situations when choosing InnoDB instead of MyISAM include: 1) transaction support, 2) high concurrency environment, 3) high data consistency; conversely, the situation when choosing MyISAM includes: 1) mainly read operations, 2) no transaction support is required. InnoDB is suitable for applications that require high data consistency and transaction processing, such as e-commerce platforms, while MyISAM is suitable for read-intensive and transaction-free applications such as blog systems.

In MySQL, the function of foreign keys is to establish the relationship between tables and ensure the consistency and integrity of the data. Foreign keys maintain the effectiveness of data through reference integrity checks and cascading operations. Pay attention to performance optimization and avoid common errors when using them.

There are four main index types in MySQL: B-Tree index, hash index, full-text index and spatial index. 1.B-Tree index is suitable for range query, sorting and grouping, and is suitable for creation on the name column of the employees table. 2. Hash index is suitable for equivalent queries and is suitable for creation on the id column of the hash_table table of the MEMORY storage engine. 3. Full text index is used for text search, suitable for creation on the content column of the articles table. 4. Spatial index is used for geospatial query, suitable for creation on geom columns of locations table.

TocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU

The main difference between MySQL and SQLite is the design concept and usage scenarios: 1. MySQL is suitable for large applications and enterprise-level solutions, supporting high performance and high concurrency; 2. SQLite is suitable for mobile applications and desktop software, lightweight and easy to embed.

Indexes in MySQL are an ordered structure of one or more columns in a database table, used to speed up data retrieval. 1) Indexes improve query speed by reducing the amount of scanned data. 2) B-Tree index uses a balanced tree structure, which is suitable for range query and sorting. 3) Use CREATEINDEX statements to create indexes, such as CREATEINDEXidx_customer_idONorders(customer_id). 4) Composite indexes can optimize multi-column queries, such as CREATEINDEXidx_customer_orderONorders(customer_id,order_date). 5) Use EXPLAIN to analyze query plans and avoid

Using transactions in MySQL ensures data consistency. 1) Start the transaction through STARTTRANSACTION, and then execute SQL operations and submit it with COMMIT or ROLLBACK. 2) Use SAVEPOINT to set a save point to allow partial rollback. 3) Performance optimization suggestions include shortening transaction time, avoiding large-scale queries and using isolation levels reasonably.


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