ORION

February 25th, 2008 | Categories: Boring | Tags:

最初知道ORION是从Piner的blog上,大概他们经常需要做数据库存储选型方面的工作,作出的图形很直观。

前阵子还买了本他的新书,书中有ORION的章节,还介绍了很多基本的主机存储系统概念和架构,还有实践心得 — 对我这样的主机盲获益非浅;书中还包括企业数据库的监控管理架构设计,实用的案例等,涉及面比较广,强烈推荐给只知道Oracle数据库的工程师。

引用OTN的说法,

ORION is useful for understanding the performance capabilities of a storage system, either to uncover performance issues or to size a new database installation.

它附带的用户手册很详细,还讲述了OLTP和OLAP不同数据库业务下,对存储的设计关注点的不同。

由于SAN总是黑箱,测试起来,感觉结果有点夸张,可能是SAN Cache的原因。但可以用来比较不同存储的能力。

If you use Orion to simulate OLTP, be aware that the profile is not exactly like Oracle. Orion uses libaio asynchronous I/O routines (e.g., io_submit(2)/io_getevents(2)) for reads as well as writes. This differs from a real Oracle database workload, because the main reads performed by the server in an OLTP workload are db file sequential reads which are random single-block synchronous reads. For that matter, foreground direct path reads are mostly (if not entirely) blocking single block requests. The net effect of this difference is that Orion can generate a tremendous amount of I/O traffic without the process scheduling overhead Oracle causes with blocking reads.


下图是测试存储的每秒的IO能力
orion_iops.jpg

下面是测试存储在一定IO Load下的延迟(response time)
io_latency.jpg

结合2个结果,可以得出在不同的IOPS情况下,单个IO的平均响应时间分别是多少。
iovslatency2.jpg

结果比Piner的图差多啦。

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