迁移到新的数据库平台或硬件架构似乎有些令人畏缩。而组织可能必须通过更改来实现关键业务目标。举例来说，从 Oracle Database 迁移到 IBM DB2 有助于削减成本、降低复杂性。将数据库从 Sun SPARC 基础架构迁移到基于 Intel Xeon 处理器的 IBM System x 服务
迁移到新的平台或硬件架构似乎有些令人畏缩。而组织可能必须通过更改来实现关键业务目标。举例来说，从 Oracle Database 迁移到 IBM® DB2® 有助于削减成本、降低复杂性。将从 Sun SPARC 基础架构迁移到基于 Intel® Xeon® 处理器的 IBM System x® 能够提高数据库性能、整合率、可伸缩性和可用性。
无论最初的目标如何，迁移到基于 Intel Xeon 处理器的 DB2 和 IBM 服务器均能带来可观的收益。DB2 内置的功能使得从 Oracle Database 迁移到 DB2 的过程变得尽可能的顺畅和简单。
利用 IBM DB2 降低成本和减少复杂性
IBM DB2 提供了无数种特性和功能，可实现比运行 Oracle Database 更低的成本。例如，IBM DB2 深度压缩能够压缩表、索引、临时空间和 XML 数据，帮助组织显著降低存储成本。利用深度压缩，组织可以实现高达 70% 的磁盘空间节约，同时大幅提高性能。除此之外，IBM 还提供了适应性极强的虚拟化许可选项，帮助组织迁移到 DB2，从而降低虚拟化成本。
通过自动化例行维护任务，IBM DB2 还有助于实现比管理 Oracle 环境更低的数据库管理复杂性和成本。组织的人员配置需求得到降低，DBA 可以抽出时间处理价值更高的项目。
IBM DB2 还提供了比 Oracle Database 可伸缩性更高的选项，支持更广泛的各类业务需求和 IT 需求。举例来说，基于 DB2 的 IBM InfoSphere® Warehouse 中提供的 IBM 数据库分析特性 (DPF) 使组织能够利用无共享方法，以递增的方式扩展数据仓库系统，从而提高性能。
对于联机事务处理 (OLTP) 工作负载，IBM DB2 pureScale® 技术允许组织以对正在运行的应用程序透明的方式，运用高度有效的共享磁盘方法为集群添加节点。利用 IBM DB2 pureScale 及配备 Intel Xeon 处理器的 IBM 服务器，交付高度可用性、可伸缩性和灵活的系统维护选项，且无需投入大笔资金，或购买针对任务关键型 OLTP 或分析应用程序而调优的复杂应用程序。
简化迁移到 DB2 的过程
DB2 中的兼容性特性有助于简化从 Oracle Database 迁移到 DB2 的过程，将迁移成本降至最低，同时加速创造价值的进程。如今，组织可以在更短的时间内完成迁移，通常所需的应用程序改写工作量也非常少，甚至完全不必改写（请参阅 IBM Data Management 文章 “在数周内从 Oracle 或 Sybase 迁移到 DB2”，了解有关的更多信息）。在完成迁移之后，开发人员可在 DB2 中利用现有 Oracle Database 技能，避免学习新平台的时间和成本（如图 1 所示）。
SQL*PLUS 脚本 程序包
图 1. 凭借对 Oracle SQL 方言、SQL*Plus 脚本、PL/SQL 代码和众多内置 Oracle Database 程序包的支持，IBM DB2 显著简化了从 Oracle Database 迁移到 DB2 的过程。
利用 IBM System x 服务器和 Intel Xeon E7 系列处理器来提高性能
与当前基于 Sun SPARC 的系统相比，IBM eX5 企业系统采用了 Intel® Xeon® E7 系列处理器，是 IBM System x 服务器中最强大的一款产品，能够交付 63% 的性能提升1。从旧版 Sun SPARC 环境迁移到 DB2 的组织能够实现更高的性能收益，使组织能够显著整合数据库环境，甚至可将各服务器的性能提升七倍以上，而且完全不会扩大服务器的资源占用。
基于 Intel Xeon E7 系列处理器的 IBM eX5 系统为 DB2 工作负载打下了坚实的基础。与基于 Oracle Database/Sun SPARC 的系统的最佳公开 TPC-C 结果相比，在配备 Intel Xeon E7 系列处理器的 IBM eX5 系统中运行的 IBM DB2 能够实现四倍的每核心性能，高达 42% 的每核心性价比改进3。组织能够在不增加服务器资源占用的前提下，更加迅速地交付结果，处理更大的数据量。
Intel® Xeon® E7-4800 系列处理器有助于为 IBM 服务器提供所有必要的安全性和可用性特性，支持任务最为关键的工作负载。举例来说，机器检查架构恢复（MCA 恢复）技术可促进从此前可能导致服务器崩溃的错误中自动恢复。Intel® Advanced Encryption Standards–New Instructions (Intel® AES-NI) 增强了安全性，同时降低了加密对性能造成的典型负面影响。
配备 Intel Xeon E7 系列处理器的 IBM eX5 系统还为 DB2 提供了可伸缩性，与使用其他处理器的系统相比，能实现高达 50% 的内存节约。额外的内存容量可支持高达 6 TB 内存、8 个多核处理器插槽的配置。大规模内存容量可支持工作负载峰值，为数据库增长留出空间，并控制服务器资源占用。
实现迁移
迁移到新数据库或硬件平台看似充满挑战，但在配备 Intel Xeon E7 系列处理器的 IBM eX5 系统上运行 IBM DB2 带来的潜在优势同样也很可观。组织可提高性能、可靠性和可伸缩性，同时降低成本和复杂性。
How does MySQL's licensing compare to other database systems?Apr 25, 2025 am 12:26 AMMySQL 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.
When would you choose InnoDB over MyISAM, and vice versa?Apr 25, 2025 am 12:22 AMThe 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.
Explain the purpose of foreign keys in MySQL.Apr 25, 2025 am 12:17 AMIn 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.
What are the different types of indexes in MySQL?Apr 25, 2025 am 12:12 AMThere 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.
How do you create an index in MySQL?Apr 25, 2025 am 12:06 AMTocreateanindexinMySQL,usetheCREATEINDEXstatement.1)Forasinglecolumn,use"CREATEINDEXidx_lastnameONemployees(lastname);"2)Foracompositeindex,use"CREATEINDEXidx_nameONemployees(lastname,firstname);"3)Forauniqueindex,use"CREATEU
How does MySQL differ from SQLite?Apr 24, 2025 am 12:12 AMThe 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.
What are indexes in MySQL, and how do they improve performance?Apr 24, 2025 am 12:09 AMIndexes 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
Explain how to use transactions in MySQL to ensure data consistency.Apr 24, 2025 am 12:09 AMUsing 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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