甲骨文发布免费数据库吸引新用户和开发商_MySQL
甲骨文
作者:安迪【eNet硅谷动力消息】为了在低端市场与对手进行更加有效的竞争,甲骨文公司计划在今年年底前发布免费版数据库产品。
甲骨文公司表示,将在本周五发布一款数据库测试版本,这款测试版本名为“甲骨 文数据库10g Express Edition”,可以在32位微软公司的Windows或Linux操作系统上运行。这一软件可以被免费下载和有限使用部分产品,也可以分别免费使用来自独立软件开发商第三方的产品。
甲骨文公司希望通过提供免费的“起动数据库”的开发和部署,能够吸引更多新的用户,随同使用开发商的产品,希望吸引更多的独立软件开发商、教育家和研究生。
甲骨文公司指出,这款产品在使用时将受到一定的限制,它限制使用4GB数据和1GB内存,并只能够在只有一个处理器的服务器上使用。在相同的应用环境中使用独立软件开发商的产品,由一个用户在线论坛提供技术支持。
甲骨文公司欧洲、中东和非洲技术营销副总裁Tim Payne 表示,这款产品的构建采用了相同于甲骨文公司现有的10g数据库的基础代码,但与一些选择没有关系,因此在应用甲骨文公司高端数据库运行时没有变化。甲骨文公司希望用户对这一版本进行测试,如果他们的数据管理需要更大容量时,他们可以升级付费的甲骨文公司的数据库产品。
Payne说:“过去我们发现在一些低端需求的类型中,用户不考虑甲骨文公司的产品”。他表示,甲骨文公司这一数据库的最终版本将在今年年底前投放市场。分析师表示,甲骨文公司是相关数据库市场的领先厂商,
它的主要竞争对手是IBM公司,但微软公司的 SQL服务器的应用也获得迅速增长,其主要原因是微软公司在MySQL AB公司和其他公司的开源产品之后就构建了 SQL服务器。
市场调研机构 Gartner公司副总裁 Donald Feinberg 表示,甲骨文公司发布免费产品将吸引许多新的开发商,它的低端企业数据库市场将获得支持,尤其在反对微软公司方面。Feinberg指出,微软公司发布了SQL 服务器 2005 升级版本,这个2005 升级版本的家族包括一个名为“SQL Server Express that”的低端数据库,象甲骨文公司“10g Express”一样,是一个免费的有限使用的版本。
甲骨文公司发布免费数据库产品为用户在考虑采用“SQL Server Express”时提供了新的选择。英国数据库厂商 Kalido公司创始人兼首席战略家Andy Hayler表示,甲骨文公司发布免费数据库帮助抵挡了MySQL的潜在的挑战,尽管MySQL AB 公司目前对甲骨文公司没有构成威胁,但它每次新发布的软件都有很大的进步。上周MySQL AB 公司推出了一个新的升级版本,为企业用户增加了几个重要的功能,包括触发、观察和储存程序等。并表示希望获得企业市场的最大市场份额。

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB

MySQL/InnoDB supports four transaction isolation levels: ReadUncommitted, ReadCommitted, RepeatableRead and Serializable. 1.ReadUncommitted allows reading of uncommitted data, which may cause dirty reading. 2. ReadCommitted avoids dirty reading, but non-repeatable reading may occur. 3.RepeatableRead is the default level, avoiding dirty reading and non-repeatable reading, but phantom reading may occur. 4. Serializable avoids all concurrency problems but reduces concurrency. Choosing the appropriate isolation level requires balancing data consistency and performance requirements.

MySQL is suitable for web applications and content management systems and is popular for its open source, high performance and ease of use. 1) Compared with PostgreSQL, MySQL performs better in simple queries and high concurrent read operations. 2) Compared with Oracle, MySQL is more popular among small and medium-sized enterprises because of its open source and low cost. 3) Compared with Microsoft SQL Server, MySQL is more suitable for cross-platform applications. 4) Unlike MongoDB, MySQL is more suitable for structured data and transaction processing.

MySQL index cardinality has a significant impact on query performance: 1. High cardinality index can more effectively narrow the data range and improve query efficiency; 2. Low cardinality index may lead to full table scanning and reduce query performance; 3. In joint index, high cardinality sequences should be placed in front to optimize query.

The MySQL learning path includes basic knowledge, core concepts, usage examples, and optimization techniques. 1) Understand basic concepts such as tables, rows, columns, and SQL queries. 2) Learn the definition, working principles and advantages of MySQL. 3) Master basic CRUD operations and advanced usage, such as indexes and stored procedures. 4) Familiar with common error debugging and performance optimization suggestions, such as rational use of indexes and optimization queries. Through these steps, you will have a full grasp of the use and optimization of MySQL.

MySQL's real-world applications include basic database design and complex query optimization. 1) Basic usage: used to store and manage user data, such as inserting, querying, updating and deleting user information. 2) Advanced usage: Handle complex business logic, such as order and inventory management of e-commerce platforms. 3) Performance optimization: Improve performance by rationally using indexes, partition tables and query caches.


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