storing time series data in sql server

Label:Http://www.cnblogs.com/yukaizhao/archive/2010/05/13/linq_to_sql_1.htmlLINQ and LINQ to SQL are no longer a new thing, but I am in touch with the relatively late, in the spirit of knowing this matter to preach attitude, decided to write this series.The test environment that this article uses is vs 2010, and the SQL Server 2005 database.1. Starting with cud,

Label:--When many connect to your database, this error "has exceeded the lock request timeout period"--just put the next-to-face stored procedure in your master database and execute it. 1 UsePratice2 SETAnsi_nulls on 3 SETQuoted_identifier on 4 Go 5 6 Create PROC [dbo].[sp_killallprocessindb] @DbName VARCHAR( -) 7 as 8 IF db_id(@DbName)= NULL 9 BEGIN Ten PRINT 'DataBase dose not Exist' One END A ELSE - BEGIN - DECLARE @killspId VARCHAR( -) the DECLARETmpcursorCURSOR - for - SELECT 'Ki

. Orderid,o1. Freightfrom Orders o1where O1. Freight>( SELECT AVG (O2). Freight) from Orders O2)The goal of SQL execution is to query orders that have more than the average shipping charge in the order.The clause that extracts the average freight here is a completely independent subquery that executes independently of the main query. At the same time here we take advantage of a scalar computation (AVG)

Preface: I have always wanted to write a series about this project. Currently, this game is under dismounting (poor operation, although I still like this game ). It has been more than a year since development. I have not forgotten it yet, so I will sort it out and share it here. How much can be written? Don't blame me for throwing away... The first server architecture diagram: Considering the consideratio

these query plans are valid for filtering the results, but when executed, the SQL Server query optimizer automatically finds an optimal one for us. Each operator will have the output of the incoming and the result data of the source data, the input of the source data can be

plans are valid for filtering the results, but when executed, the SQL Server query optimizer automatically finds an optimal one for us.Each operator will have the output of the incoming and the result data of the source data, the input of the source data can be derived from

plans are valid for filtering the results, but when executed, the SQL Server query optimizer automatically finds an optimal one for us.Each operator will have the output of the incoming and the result data of the source data, the input of the source data can be derived from

pages in the data cacheYou can use a data page or an index page if it exists in memory. Therefore, a buffer must exist in the data cache to read the page. Maintaining a valid cache of instant provisioning is an important performance optimization. If a buffer does not read effectively, many memory pages have to look for a buffer to empty to use as a workspace.SQL

-01 ' ' 1998-01-07 ' '1998-01-01'1998-01-07 'This code is the order date of the order is queried from January 1, 1998 to January 7, 1998 or the date of shipment is also from January 1, 1998 to January 7, 1998.The logic is simple, and we know that in such a table, both fields have index entries. So this query has two choices in SQL Server:1, a one-time index scan

This year in a garment enterprise camp for 4 months, between a long period of time in the exploration of its spot and futures forecasts, time series is also the first choice to make sales forecasts, today and the small partners to share the basic nature of the time series an

two doubts, please advise:1. If the entity must be obtained at the time of update and delete, and then the operation can be performed, I try to get the entity in the database without going to the databases at the time of update, but declare an entity myself and then delete it, but it fails.2. In the generated update and delete conditional statements contain [email protected] and [email protected] statement

Original: SQL Server Tuning Series basics (Parallel operations Summary chapter II)ObjectiveIn the previous article we described how to view the parallel running of a query plan.In this article we then analyze the parallel operations of SQL Server.Gossip less, directly into the topic of this article.Technical preparatio