storing time series data in sql server

-ddhh:mm:ss:nnnnnn 0001-1-19999-12-31 100 nanoseconds 6-8 bytes DateTimeOffset Yyyy-mm-ddhh:mm:ss:nnnnnn+|-hh:mm 0001-1-19999-12-31(Global Standard Time) 100 nanoseconds 8-10 bytes To use these data types, SQL Server 2008 also introduces a

data page is full, if you want to insert data to the page, the page split will generate fragments (which will be discussed later), affecting performance. Therefore, an index is created only when the query performance is more important than the update performance. Columns to be indexed 1. Primary Key2. Foreign key3. frequently searched columns and columns frequently searched in order of sorting Genera

must begin with the first one. 6. dacklock) See Http://www.cnblogs.com/changbluesky/archive/2010/06/10/1753021.html Iii. Performance) 1. Index fragmentation 1.1 query fragments SYS. dm_db_index_physical_stats can be used to detect all indexes in a specific index, table or index view, all indexes in the database, or fragments in all indexes in all databases. Important column: Avg_fragmentation_in_percent Percentage of logical fragments (unordered pages in the index) Frag

ConclusionThis article first to this bar, short, easy to understand, this article mainly introduces the query plan of the joint operators, the next we analyze SQL Server parallel operations, in multicore hyper-threading gathered today, see SQL How server uses parallel operations to maximize the use of existing ha

[min. Execution time (MS)],max_worker_time/1000 as [Maximum execution Time (ms)],SUBSTRING (Qt.text,qs.statement_start_offset/2+1,(case when qs.statement_end_offset =-1Then Datalength (qt.text)ELSE qs.statement_end_offset End-qs.statement_start_offset)/2 + 1)As [syntax with CPU], Qt.text [full syntax],Qt.dbid, Dbname=db_name (qt.dbid),Qt.objectid,object_name (qt.objectid,qt.dbid) ObjectNameFrom Sys.dm_exec

constraints; to ensure that each inserted, updated, or deleted record meets the constraints, SQL Server needs to consider whether to add constraints to a table with a large amount of data.VarcharVARCHAR is a common type of database, but it may also lead to unexpected performance overhead. Every time we store variable-length columns,

Label:ObjectiveSQL Server, as an excellent relational database, is supported by a variety of concurrent operations and user access in addition to supporting the most basic data storage capabilities.And this series of content will be a layer of analysis of the SQL Server in t

54th, 57th):Session number 54th:1 Use TSQLFundamentals2008; 2 BEGIN TRANSACTION; 3 4 SET unitprice=unitprice+1 5 WHERE productid=2 6 7 -- prepare to modify data in 57 session in 51st session 8UPDATE sales.orderdetails 9 SET unitprice=unitprice+1 WHERE productid =2;Session Number 57th:1 Use TSQLFundamentals2008;2 BEGIN TRANSACTION;3 4--Update operation gets to exclusive lock5 UPDATE sales.orderdetails6SET unitprice=unitprice+17WHERE ProductID =

') Ainner join EMP Bon a.empno =b.empnoand b.empno=7369　　The OPENQUERY result is equivalent to returning a remote table object that can be used as a link to the SQL statement, or an update delete operation on the Oracle data, for example, the following code inserts a remote Oralcle database:Insert INTO OPENQUERY (Oracl, ' select Empno,ename,job,mgr,hiredate,sal,comm,deptno from emp ') SELECT [empno]+1000,[

Label:I. PrefaceHave not learned to take notes of their own habit, so in order to strengthen their knowledge in-depth understanding, decided to learn the notes written down, I hope to learn from you Daniel! Please treatise the wrong place! Thanks here! On this side of the first from the study of SQL Server, and its own database is not good, so decided to start learning from the Foundation, Daniel, this arti

Label:Many users are now plagued by slow database problems and are struggling to pay for a professional DBA that is too expensive. Software maintenance personnel on the database is not so deep understanding, so that the problem can not be resolved, or can only be temporarily resolved can not be cured. Developers to solve data problems are basically searching Baidu various methods to try again, may miss the best ti