Tags: Benefits Right click Access lib ORM tle blog together SDNReading Query plans:stairway to SQL Server Indexes level 9 by David Durant, 2011/10/05 Original link: http://www.sqlservercentral.com/articles/Stairway+Series/72441/ The Series This article is part of the ladder series: SQL
1. Format time SQL statements
In this case, I did a random two tables, and the actual is not very consistent, just want to explain the wording of the SQL statement.
Example 1 is in table format as follows:
Requirements: Query out this table, but need to make time field format for YYYY-MM-DD, such as: 2013-08-13
SQL
SQL random Query
SQL Server:
Select Top N * from Table order by newid ()
The newid () function creates a unique value of the uniqueidentifier type. The preceding statement reads N records randomly from the table.
MySQL: Select * from Table order by rand () limit 10
STR converts a number to a string for compa
end of the command prompt line without a password, bcp uses the default password (NULL ).
-T
Specify that bcp uses the Security creden of network users to connect to SQL Server through a trusted connection. Login_id and password are not required.
-V
Report the version number and copyright of the bcp utility.
-R
Specify the region format defined for the region of the client computer to copy large data volum
Ind_attribute.is_ Disabled as [is disabled] 4 from (5 select Tab_name,index_name, [Co_names]=stuff ((SELECT ', ' +[co_name ') from 6 (select Tab. Name as Tab_name,ind. Name as index_name,col.name as Co_name from sys.indexes IND 7 INNER JOIN Sys.tables tab on Ind. object_id = tab.object_id and Ind.type in (8) inner join sys.index_columns index_columns on tab.object_id = Index_colu mns.object_id and ind.index_id = index_columns.index_id 9 inner join sys.columns Col on tab.object_id = col.object_i
The word booksearch may be unfamiliar to many developers. Many people have encountered this word, but they have not paid enough attention to it, so they have always ignored its existence.
The word booksearch may be unfamiliar to many developers. Many people have encountered this word, but they have not paid enough attention to it, so they have always ignored its existence.
The growth of SQL Server Cognit
It is understood that the vast majority of developers have a thorough understanding of indexing, limited to the fact that most daily work has no chance, and there is no need to care about or understand indexing, when a query is too slow, you can create an index based on the query conditions. When another query is slow, you can create an index, or directly send th
First, describe the memory used by SQL Server. The memory occupied by SQL Server is mainly composed of three parts: Data Buffer, Procedure Cache, and SQL Server engine program. The cache occupied by
Statement 8: place the where condition in Statement 7 after the on clause.
Select o. id, o. order_number, o. customer_id, c. id, c. name
From orders o left outer join MERs c on c. id = o. customer_id and o. order_number
The query results of statement 7 and statement 8 are obviously different, and the results displayed in Statement 8 are hard to understand. Therefore, when writing a join query, we recomme
resources. and by creating a reusable plan, SQL Server also reduces the memory usage required to store similar execution plans in the process cache.
Now let's look at the different ways in which SQL Server creates parameterized queries.
How are parameterized queries creat
querying, consider: Configure the virtual memory size to be at least 3 times times the physical memory installed on the computer. Configure the SQL Server max server memory server configuration option to 1.5 times times the physical memory (half of the virtual memory size setting).7. Increase the number of
The SELECT clause is logically the last step in the final processing of the SQL statement, so the following query will have an error:
SELECT year
(OrderDate asorderyearCOUNT(DISTINCT CustomerID fromdboGROUP by OrderYear;
Because group by was preceded by a SELECT, the OrderYear column was not formed at that time.
If you want to query for su
The growth of SQL Server Cognition
1. I don't have to graduate or work for a long time. I only know the relationship between SQL and SQL Server Oracle and MySql. I usually think that SQL is S
SQL Server query performance optimization-index and SARG (I)
For non-SARG statements, SQL SERVER must evaluate each record to determine whether it meets the WHERE clause conditions. Therefore, indexes are usually useless for queries using non-SARG conditions. A non-SARG stat
Small Program Ape SQL Server Cognitive growth
1. Did not graduate or work not long, only know that there is a database, SQL such dongdong, unaware of the SQL and SQL Server Oracle, MySQL relationship, usually considered
resources. and by creating a reusable plan, SQL Server also reduces the memory usage required to store similar execution plans in the process cache.
Now let's look at the different ways in which SQL Server creates parameterized queries.
How are parameterized queries creat
Label:1. View the user tableSelect from Sys.tables Select from where type='U' Select from where xtype='U' where type or xtype value:U = user table S = system table V = view FN = scalar function TF = table function P = stored procedure
TR = Trigger
D = defaults or Default constraints PK = PRIMARY KEY constraintF = FOREIGN KEY constraint UQ = UNIQUE constraint SELECT from Information_schema. TABLES2. View ViewSELECT * from Information_schema. Views3. View the table/view fieldsS
Label:There are three basic types of joins: Cross joins, Inner joins, and outer joins. The cross join has only one step-cartesian product; There are two steps in the inner join-Cartesian product, filtering, outer join has three steps-cartesian product, filtering, adding outer row.Inner joinsCode: SELECT e.empid, E.firstname, E.lastname, O.orderid
from as E
JOIN as O
on = O.empid; Another way to do this: SELECT e.empid, E.firstname, E.lastname, O.orderid
from as as O
WHERE = O.e
statement is used for the data table, based on the scanned item of the data page.The so-called data page is the underlying data storage for the database, and SQL Server stores the table row data as a data page. Each data page is 8K,8k=8192 bytes-96 bytes (page header)-36 bytes (row offset) = 8060 bytesIt also says that a data page stores 8060 bytes of pure data content.Let's explain in turn that there are
basically there is no continuous reading of the gratitude.A leaf node is a data page, and a data page is a pre-read.Let's look at an example:We add the above table to the clustered index entry, empty the cache again, execute the query, and the script is as follows?
123
CREATECLUSTEREDINDEX NewOrders_TESTIndexON NewOrders_TEST(OrderID)GOSELECT *FROMNewOrders_TEST
The clustered index is added here, and
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