• Support for solid-state disks (SSDs)

    支持固态磁盘(solid-state disks,SSDs)

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  • Using CHGPFM to move data to SSDS.

    使用CHGPFM将数据移动到ssd。

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  • SSDs shine really bright when random I/Os are being executed.

    但在执行随机I/O 操作时,SSD的确更胜一筹。

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  • Think about which tasks SSDs enable you to accomplish differently.

    考虑SSD能让您出色完成哪些任务。

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  • But SSDs are different from hard disk drives (HDDs) in that they are consumable.

    但是SSD不同于硬盘驱动器(Hard Disk Drive,HDD),因为它们是可以消耗掉的。

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  • So, what's the best way to determine which DB2 tables or indexes to place on SSDs?

    那么,确定将哪些db2表或索引放在SSD上的最佳方式是什么?

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  • In many cases, organizations will be able to place all of their databases on SSDs.

    在很多情况下,组织可以把所有数据库放在SSD。

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  • This constraint does not exist with SSDs because of the wear-leveling requirement.

    此限制不能与SSD 同时存在因为耗损均衡的要求。

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  • Tablespaces that have a lower sequentiality ratio also are better candidates for SSDs.

    具有较低连续率的表空间也比较适合放在SSD上。

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  • Figure 2: Identifying high-use data can help maximize the performance benefits of SSDS.

    图2:挑出高使用率数据有助于将SSD带来的性能好处最大化。

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  • But although SSD costs are declining every quarter, SSDs are still more expensive than HDDs.

    但是,虽然SSD的成本每个季度都在递减,但是SSD仍然比HDD昂贵。

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  • Figure 1: SSDs easily outpace the 15,000 RPM HDDs commonly used for enterprise applications.

    图1:ssd轻松超过常用于企业应用的15,000rpmhdd。

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  • We then tested several scenarios after migrating portions of the database application to SSDs.

    然后,我们将数据库应用程序的一部分迁移到SSD,对一系列的场景进行测试。

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  • All existing data is moved underneath the cover from regular disk drives to SSDs automatically.

    所有现有数据都在后台从常规硬盘驱动器自动移动到SSD。

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  • CHGLFM will move all the secondary indexes associated with a join logical file on or off of SSDs.

    CHGLFM将把与连接逻辑文件有关的所有二级索引移入或移出ssd。

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  • Silent operation - SSDs are completely silent when they are running, HDDs are most definitely not

    工作静音——SSD运行时完全静音,硬盘驱动器则绝对不可能。

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  • Figure 1 below shows this differences between regular disk drives and SSDs in terms of performance.

    图1展示了常规硬盘驱动器与SSD之间的性能差异。

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  • So consider embedding less free space when using SSDs, since the clustering sequence may not be so important.

    因此考虑在使用SSD 时嵌入较少的空闲空间,因为集群顺序可能并不那么重要。

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  • When you consider the purchase of SSDs for your enterprise-class storage array, think beyond speeds and feeds.

    当您考虑为企业级存储阵列购买SSD时,不仅要考虑速度和容量。

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  • The SSDs will sometimes fail as well, and the company is working on ways to ensure a foolproof wipe of stored data.

    不过固态硬盘有时候也会出现故障,该公司正在寻求一种确保万无一失的清除硬盘数据的方式。

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  • The easiest approach would be simply to replace all regular disk drives with SSDs and move over all objects and data.

    最简单的方法是用SSD替换所有常规硬盘驱动器并移动所有对象和数据。

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  • Additionally, DSNACCOX with DB2 10 has specific code to reduce the REORG requirements for table Spaces residing on SSDs.

    另外,DB 210的DSNACCOX具有特定的代码来降低对驻留在SSD上的磁盘空间的REORG需求。

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  • A potential course of action here is to reduce the size of the buffer pools supporting the table Spaces resident on SSDs.

    这里,可能的动作是减小支持驻留在SSD上的表空间的缓冲池大小。

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  • IBM I has all the characteristics and information to be able to identify and move certain most frequently used objects to SSDs.

    IBMi拥有所有相关特征和信息,能够识别那些使用频率最高的对象并将其移动到SSD。

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  • Use of SSDs drives are substantially faster than traditional disks and thus can provide performance benefits to most applications.

    使用SSD硬盘要比使用传统磁盘快许多,因此可以为大多数应用程序提供性能增益。

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  • Other graphs can be selected to show the total number of I/Os performed per second which will also indicate the improvement from SSDs.

    还可以选择其他曲线图来显示每秒执行的I/O总量,这也能体现通过 SSD 实现的改进。

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  • These dramatic improvements have made SSDs prime candidates for use in performance-sensitive or mission-critical database applications.

    如此急剧的进步使得SSD成为性能敏感或关键任务数据库应用程序的首选。

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  • There are multiple methods to place DB2 for I objects on SSDs, but one of the most efficient is to use the DB2 media preference attribute.

    可以有多种方法将DB 2fori对象放到SSD中,但是效率最高的一种方法就是使用DB 2媒介首选项属性。

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  • Improve buffer pool efficiency by dedicating minimal space to table Spaces on SSDs and reallocating the space thus saved to HDD buffer pools.

    通过尽量将SSD上的表空间降到最低,并重新分配空间来提升缓冲池效率,从而节省hdd缓冲池。

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  • Sequential access, as exhibited by data warehouse activities, does not produce as great a performance improvement with SSDs as does random access.

    在数据仓库活动所用到的顺序存取中,SSD的性能提升没有随机访问那么大。

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