1.前言 对于优化SQL语句或存储过程,以前主要是用如下语句来判断具体执行时间,但是SQL环境是复杂多变的,下面语句并不能精准判断性能是否提高:如果需要精确知道CPU.IO等信息,就无能为力了. ),) ),) 这时候如果使用SET STATISTICS TIME ON和SET STATISTICS IO ON 指令就能清楚的知道了,在测试之前需执行下面2条命令 DBCC DROPCLEANBUFFERS 清除缓冲区 DBCC FREEPROCCACHE 删除计划高速缓存中的元素 2.测试  2…
1.前言 对于优化SQL语句或存储过程,以前主要是用如下语句来判断具体执行时间,但是SQL环境是复杂多变的,下面语句并不能精准判断性能是否提高:如果需要精确知道CPU.IO等信息,就无能为力了. 1 2 3 PRINT convert(varchar(30),getdate(),121) select * from Sales.SalesOrderDetail where SalesOrderID > 64185 PRINT convert(varchar(30),getdate(),121)…
1.前言 对于优化SQL语句或存储过程,以前主要是用如下语句来判断具体执行时间,但是SQL环境是复杂多变的,下面语句并不能精准判断性能是否提高:如果需要精确知道CPU.IO等信息,就无能为力了. ),) ),) 这时候如果使用SET STATISTICS TIME ON和SET STATISTICS IO ON 指令就能清楚的知道了,在测试之前需执行下面2条命令 DBCC DROPCLEANBUFFERS 清除缓冲区 DBCC FREEPROCCACHE 删除计划高速缓存中的元素 2.测试  2…
原题链接在这里:https://leetcode.com/problems/statistics-from-a-large-sample/ 题目: We sampled integers between 0 and 255, and stored the results in an array count:  count[k] is the number of integers we sampled equal to k. Return the minimum, maximum, mean, m…
题目如下: We sampled integers between 0 and 255, and stored the results in an array count:  count[k] is the number of integers we sampled equal to k. Return the minimum, maximum, mean, median, and mode of the sample respectively, as an array of floating…
<Pro SQL Server Internals> 作者: Dmitri Korotkevitch 出版社: Apress出版年: 2016-12-29页数: 804定价: USD 59.99装帧: PaperbackISBN: 9781484219638 统计 SQL Server查询优化器在为查询选择执行计划时使用基于成本的模型.它估计不同执行计划的成本,并选择成本最低的一个.但是,请记住,SQL Server并不搜索查询可用的最佳执行计划,因为评估所有可能的替代方案在CPU方面都是耗时…
Sampling and Estimation Sampling Error Sampling error is the difference between a sample statistic(the mean, variance, or standard deviation of the sample) and its corresponding population parameter(the true mean, variance, or standard deviation of t…
Basic Concepts Probability distribution Discrete distribution (离散分布) The distribution of the discrete random variable. Discrete random variable takes on a finite and countable number of possible values. Continuous distribution (连续分布) The distribution…
Two Types of Estimation One of the major applications of statistics is estimating population parameters from sample statistics. There are types of estimation: Point Estimate: the value of sample statistics Point estimates of average height with multi…