sql server 2000 survival guide

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SQL Server Survival Guide

Content

SQL Server Architecture

Physical Database Files and Filegroups

Recovery Model

Transaction Log Architecture

Truncating the Transaction Log

Log truncation occurs at these points

The size of a transaction log is therefore controlled in one of these ways

Shrinking the Transaction Log

Example Truncating / Shrinking the Transaction Log

Database is in FULL Recovery Mode Database is in SIMPLE Recovery Mode

SQL Server Overview

System and User Databases (= Oracle Schema)SQL Server ServicesReferring Objects

Metadata (Data Dictionary)

SQL Server Logon and Database Access

SQL Server Query Designer

SQL Server Batch Utility (osql)

SQL Server Programming Overview

Local VariablesDistributed Queries

Formatting Dates

CASE function (similar to Oracle DECODE)

Dynamically constructing SQL Statements

Transactions

TOP n Queries

Show User Tables for specified Database

Show Primary- and Foreign Key of a Table

Creating and Managing Databases

Database Properties

Change a property

Create a Database

Information on Databases

Data Structures

Database Recovery ModelCheck Extents, Pages

Traceflags

Backup a DatabaseRestore a Database

Creating Tables

User defined Data Types

BLOBSComputed Columns

Generate Column Value with Identity Property

Generate Column Value with NEWID Function

Create Table in specified File Group

Generating Transact-SQL ScriptsLogged and Nonlogged Bulk Copies

Data Integrity

DEFAULT Constraint

CHECK Constraint
http://history.back%28%29/


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PRIMARY KEY Constraint

FOREIGN KEY Constraint

DEFAULT Object

RULE ObjectDisabling and Enabling Constraints

Table Structure

Pages and Extents

Heaps and the Index Allocation Map (IAM)

Index Structure

Nonclustered Indexes

Clustered Indexes

Sysindexes Table

Verify the sysindexes Table

Full Table ScanNon Clustered Index Read

Clustered Index Read

Clustered Index with Non Clustered Index Read

Page Splits in an Index

Page Splits do not occur in a Heap

Determining Selectitivity

Determine Table Structures

Optimizer Statistics

Manually Creating Statistics

Create Statistics for whole Database

View Index Statistics and evaluating Index Selectivity

Views

Creating Views

Encrypt / Decrypt Views

Updateable Views

Indexed Views

Stored Procedures

Populate Table with a Stored Procedure

Check Stored Procedure Properties

Recompile all Stored Procedures, Trigger that reference a Table

Using Input Parameters

Returning Values Using Output Parameters

Process OUTPUT Value and RETURN Parameter

Using last insert @@identity for Foreign Key Value

Custom Messages from Stored Procedures added to EventlogEMail Interface

Extended Stored Procedures

User Defined Functions

Scalar User Defined FunctionMulti-Statement Table-valued Function

Triggers

INSERT Triggers

DELETE Triggers

UPDATE Triggers

Transact SQL Examples

Shrinking the Logfile

Handling NULLs

COUNT(*)NULL Values in Foreign Keys

SQL Server Architecture

Microsoft SQL Server data is stored in databases. The data in a database is organized into the


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logical components visible to users. A database is also physically implemented as two or more fileson disk.

When using a database, you work primarily with the logical components such as tables, views,

procedures, and users. The physical implementation of files is largely transparent. Typically, only

the database administrator needs to work with the physical implementation.

Each instance of SQL Server has four system databases ( master, model, tempdb, and msdb) and

one or more user databases. Some organizations have only one user database, containing all the

data for their organization. Some organizations have different databases for each group in their

organization, and sometimes a database used by a single application. For example, an organization

could have one database for sales, one for payroll, one for a document management application,and so on. Sometimes an application uses only one database other applications may access several

databases.

It is not necessary to run multiple copies of the SQL Server database engine to allow multiple users

to access the databases on a server. An instance of the SQL Server is capable of handling thousands

of users working in multiple databases at the same time. Each instance of SQL Server makes all

databases in the instance available to all users that connect to the instance, subject to the defined

security permissions.

When connecting to an instance of SQL Server, your connection is associated with a particular

database on the server. This database is called the current database. You are usually connected to

a database defined as your default database by the system administrator.

SQL Server allows you to detach databases from an instance of SQL Server, then reattach them to

another instance, or even attach the database back to the same instance. If you have a SQL Server

database file, you can tell SQL Server when you connect to attach that database file with a specific

database name.


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Physical Database Files and Filegroups

Microsoft SQL Server maps a database over a set of operating-system files. Data and log

information are never mixed on the same file, and individual files are used only by one database.

SQL Server databases have three types of files:

Primary data files

The primary data file is the starting point of the database and points to theother files in the database. Every database has one primary data file. The

recommended file name extension for primary

data files is .mdf.

Secondary data files

Secondary data files comprise all of the data files other than the primary data

file. Some databases may not have any secondary data files, while others

have multiple secondary data files. The recommended file name extension for

secondary data files is .ndf.


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Log files

Log files hold all of the log information used to recover the database. There

must be at least one log file for each database, although there can be more

than one. The recommended file name extension for log files is .ldf.

SQL Server does not enforce the .mdf, .ndf, and .ldf file name extensions, but these extensions are

recommended to help identify the use of the file.

In SQL Server, the locations of all the files in a database are recorded in both the master databaseand the primary file for the database. Most of the time the database engine uses the file locationinformation from the master database. For some operations, however, the database engine uses

the file location information from the primary file to initialize the file location entries in the master

database.

SQL Server files have two names:

logical_file_name is a name used to refer to the file in all Transact-SQL

statements.

The logical file name must conform to the rules for SQL Server identifiers and

must be unique to the database.

os_file_name is the name of the physical file.

It must follow the rules for Microsoft Windows NT or Microsoft Windows

Me, and Microsoft Windows 98 file names.

These are examples of the logical file names and physical file names of a database created on a

default instance of SQL Server:

SQL Server data and log files can be placed on either FAT or NTFS file systems, but cannot beplaced on compressed file systems.

Use the following SQL Statement to list the logical and physical file names:

USE MyDbSELECT SUBSTRING(name,1,20) Name, SUBSTRING(filename,1,50) Filename FROM dbo.sysfiles

Name Filename

-------------------- ------------------------------------MyDb_System E:\MsSQLServer\Data\MyDb_System.MDFMyDb_Log_1 E:\MsSQLServer\Data\MyDb_Log_1.LDFMyDb_Data_1 E:\MsSQLServer\Data\MyDb_Data_1.NDFMyDb_Index_1 E:\MsSQLServer\Data\MyDb_Index_1.NDF

If you have a Backup and you would know, the logical and physical file names within this Backup,


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then you can use RESTORE FILELISTONLY

RESTORE FILELISTONLY FROMDISK = N'E:\MsSQLServer\Backup\MyDb.bak'

WITH FILE = 7

LogicalName PhysicalName----------------------------------------------------------------MyDb D:\sql2005\MSSQL.1\MSSQL\Data\MyDb.mdfMyDb_log C:\DATA\MyDb_log.ldf

Recovery ModelSQL Server offers three recovery models for each database: full recovery, simple recovery and

bulk-logged recovery. The recovery models determine how much data loss is acceptable in case of a

failure and what types of backup and restore functions are allowed.

Most people either select full or simple for all of their databases and just stick with the same option

across the board. In most cases, selecting the full recovery model is the smartest option,because it gives you the greatest flexibility and minimizes data loss in the event a restore has to

take place.

Although using the full recovery model makes logical sense, there are reasons why the other two

options are available. We will further define why there are three options and when you might want

to use the different options to protect your databases. First, let's take a closer look at each model.

Simple

The simple recovery model allows you to recover data only to the most recent full database or

differential backup. Transaction log backups are not available because the contents of thetransaction log are truncated each time a checkpoint is issued for the database.

Full

The full recovery model uses database backups and transaction log backups to provide complete

protection against failure. Along with being able to restore a full or differential backup, you can

recover the database to the point of failure or to a specific point in time. All operations, including

bulk operations such as SELECT INTO, CREATE INDEX and bulk-loading data, are fully logged and

recoverable.

Bulk-Logged

The bulk-logged recovery model provides protection against failure combined with the best

performance. In order to get better performance, the following operations are minimally logged and

not fully recoverable: SELECT INTO, bulk-load operations, CREATE INDEX as well as text and image

operations. Under the bulk-logged recovery model, a damaged data file can result in having to redowork manually based on the operations that are not fully logged. In addition, the bulk-logged

recovery model only allows the database to be recovered to the end of a transaction log backup

when the log backup contains bulk changes.

So once again, based on the information above it looks like the Full Recovery model is the way to

go. Given the flexibility of the full recovery model, why would you ever select any other model? Thefollowing factors will help you determine when another model could work for you:

Select Simple if:

Your data is not critical.

Losing all transactions since the last full or differential backup is not an issue.Data is derived from other data sources and is easily recreated.

Data is static and does not change often.

Select Bulk-Logged if:

Data is critical, but logging large data loads bogs down the system.

Most bulk operations are done off hours and do not interfere

with normal transaction processing.You need to be able to recover to a point in time.

Select Full if:

Data is critical and no data can be lost.

You always need the ability to do a point-in-time recovery.


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Bulk-logged activities are intermixed with normal transaction processing.

You are using replication and need the ability to resynchronize all

databases involved in replication to a specific point in time.

Switching recovery models

For some databases, you may need to use a combination of these recovery models. Let's say you

have a critical system and you cannot afford to lose any data during daily operations but during off

hours there are maintenance tasks and data loads that use way too much transaction log space to

log every transaction. In a case like this, you may want to switch recovery models prior to your

maintenance tasks. This can be automated using T-SQL in the job that runs your maintenance ordata load tasks. After the maintenance task is completed, the recovery model can be switched backagain.

Switching between full and bulk-logged models is probably the best scenario for changing recoverymodels and also the safest and easiest. You can switch from any recovery model to another

recovery model, but prior to or after the switch, you may need to issue additional transaction log or

full backups to ensure you have a complete backup set.

ALTER DATABASE Northwind SET RECOVERY FULLGO

Transaction Log Architecture

Every Microsoft SQL Server 2000 database has a transaction log that records all transactionsand the database modifications made by each transaction. This record of transactions and their

modifications supports three operations:

Recovery of individual transactions

If an application issues a ROLLBACK statement, or if SQL Server detects an

error such as the loss of communication with a client, the log records are used

to roll back the modifications made by an incomplete transaction.

Recovery of all incomplete transactions when SQL Server is started.

If a server running SQL Server fails, the databases may be left in a state

where some modifications were never written from the buffer cache to the

data files, and there may be some modifications from incomplete transactionsin the data files. When a copy of SQL Server is started, it runs a recovery of

each database. Every modification recorded in the log which may not have

been written to the data files is rolled forward. Every incomplete transaction

found in the transaction log is then rolled back to ensure the integrity of the

database is preserved.

Rolling a restored database forward to the point of failure

After the loss of a database, as is possible if a hard drive fails on a server

that does not have RAID drives, you can restore the database to the point of

failure. You first restore the last full or differential database backup, and then

restore the sequence of transaction log backups to the point of failure. As you

restore each log backup, SQL Server reapplies all the modifications recorded

in the log to roll forward all the transactions. When the last log backup isrestored, SQL Server then uses the log information to roll back all

transactions that were not complete at that point.

Truncating the Transaction Log

If log records were never deleted from the transaction log, the logical log would grow until it filled

all the available space on the disks holding the physical log files. At some point in time, old logrecords no longer necessary for recovering or restoring a database must be deleted to make way

for new log records. The process of deleting these log records to reduce the size of the logical log is

called truncating the log.

The active portion of the transaction log can never be truncated. The active portion of the log is thepart of the log needed to recover the database at any time, so must have the log images needed to

roll back all incomplete transactions. It must always be present in the database in case the server

fails because it will be required to recover the database when the server is restarted. The record at

the start of the active portion of the log is identified by the minimum recovery log sequence number

(MinLSN).


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The recovery model chosen for a database determines how much of the transaction log in front of

the active portion must be retained in the database. Although the log records in front of the MinLSN

play no role in recovering active transactions, they are required to roll forward modifications when

using log backups to restore a database to the point of failure. If you lose a database for some

reason, you can recover the data by restoring the last database backup, and then restoring every

log backup since the database backup. This means that the sequence of log backups must contain

every log record that was written since the database backup. When you are maintaining a sequence

of transaction log backups, no log record can be truncated until after it has been written to a logbackup.

The log records before the MinLSN are only needed to maintain a sequence of transaction log

backups.

In the simple recovery model, a sequence of transaction logs is not being maintained. All log

records before the MinLSN can be truncated at any time, except while a BACKUP statement is being

processed. NO_LOG and TRUNCATE_ONLY are the only BACKUP LOG options that are valid for a

database that is using the simple recovery model.

In the full and bulk-logged recovery models, a sequence of transaction log backups is being

maintained. The part of the logical log before the MinLSN cannot be truncated until those log records

have been copied to a log backup.

Log truncation occurs at these points

At the completion of any BACKUP LOG statement.

Every time a checkpoint is processed, provided the database is using the simplerecovery model. This includes both explicit checkpoints resulting from a

CHECKPOINT statement and implicit checkpoints generated by the system. The

exception is that the log is not truncated if the checkpoint occurs when a BACKUP

statement is still active

Transaction logs are divided internally into sections called virtual log files. Virtual log files are the

unit of truncation. When a transaction log is truncated, all log records before the start of the

virtual log file containing the MinLSN are deleted

The size of a transaction log is therefore controlled in one of these ways

When a log backup sequence is being maintained, schedule BACKUP LOG statements

to occur at intervals that will keep the transaction log from growing past the desiredsize.

When a log backup sequence is not maintained, specify the simple recovery model.

This illustration shows a transaction log that has four virtual logs. The log has not been truncated

after the database was created. The logical log starts at the beginning of the first virtual log and the

part of virtual log 4 beyond the end of the logical file has never been used.

This illustration shows how the log looks after truncation. The rows before the start of the virtual log

containing the MinLSN record have been truncated.


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Truncation does not reduce the size of a physical log file, it reduces the size of the logical log file.

Shrinking the Transaction Log

The size of the log files are physically reduced when:

A DBCC SHRINKDATABASE statement is executed.

A DBCC SHRINKFILE statement referencing a log file is executed.

An autoshrink operation occurs

Shrinking a log is dependent on first truncating the log. Log truncation does not reduce the size of a

physical log file, it reduces the size of the logical log and marks as inactive the virtual logs that do

not hold any part of the logical log. A log shrink operation removes enough inactive virtual logs toreduce the log file to the requested size.

The unit of size reduction is a virtual log. For example, if you have a 600 MB log file that has beendivided into six 100 MB virtual logs, the size of the log file can only be reduced in 100 MB

increments. The file size can be reduced to sizes such as 500 MB or 400 MB, but it cannot be

reduced to sizes such as 433 MB or 525 MB.

Virtual logs that hold part of the logical log cannot be freed. If all the virtual logs in a log file hold

parts of the logical log, the file cannot be shrink until a truncation marks one or more of the virtuallogs at the end of the physical log as inactive.

When any file is shrunk, the space freed must come from the end of the file. When a transaction logfile is shrunk, enough virtual logs from the end of the file are freed to reduce the log to the size

requested by the user. The target_size specified by the user is rounded to the next highest virtual

log boundary. For example, if a user specifies a target_size of 325 MB for our sample 600 MB file

with 100 MB virtual log files, the last two virtual log files are removed and the new file size is 400

MB.

In SQL Server, a DBCC SHRINKDATABASE or DBCC SHRINKFILE operation attempts to shrink the

physical log file to the requested size (subject to rounding) immediately:

If no part of the logical log is in the virtual logs beyond the target_size mark, the

virtual logs after the target_size mark are freed and the successful DBCC statement

completes with no messages.

If part of the logical log is in the virtual logs beyond the target_size mark, SQL

Server frees as much space as possible and issues an informational message. The

message tells you what actions you need to perform to get the logical log out of the

virtual logs at the end of the file. After you perform this action, you can thenreissue the DBCC statement to free the remaining space.

For example, assume that a 600 MB log file with six virtual logs has a logical log starting in virtual

log 3 and ending in virtual log 4, when you execute a DBCC SHRINKFILE statement with atarget_size of 275 MB:

Virtual logs 5 and 6 are freed immediately because they hold no portion of the logical log. To meet

the specified target_size, however, virtual log 4 should also be freed, but cannot because it holds

the end portion of the logical log. After freeing virtual logs 5 and 6, SQL Server fills the remaining


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part of virtual log 4 with dummy records. This forces the end of the log file to virtual log 1. In most

systems, all transactions starting in virtual log 4 will be committed within seconds, meaning that allof the active portion of the log moves to virtual log 1, and the log file now looks like this:

The DBCC SHRINKFILE statement also issues an informational message that it could not free all the

space requested, and indicate that you can execute a BACKUP LOG statement to make it possible to

free the remaining space. Once the active portion of the log moves to virtual log 1, a BACKUP LOG

statement will truncate the entire logical log that is in virtual log 4:

Because virtual log 4 no longer holds any portion of the logical log, if you now execute the same

DBCC SHRINKFILE statement with a target_size of 275 MB, virtual log 4 will be freed and the size of

the physical log file reduced to the size requested.

Example Shrinking the Transaction Log

Here is an example how boths steps can be performed:

Database is in FULL Recovery Mode# For this example we switch to FULL ModeUSE master

ALTER DATABASE MyDb SET RECOVERY FULLGOThe command(s) completed successfully.

# Add logical Devices for the Backup (The directories must exist!)EXEC sp_addumpdevice 'disk', 'MyDb_dat','C:\Program Files\Microsoft SQL Server\MSSQL\BACKUP\MyDb_dat.dat'GO(1 row(s) affected)'Disk' device added.

EXEC sp_addumpdevice 'disk', 'MyDb_log','C:\Program Files\Microsoft SQL Server\MSSQL\BACKUP\MyDb_log.dat'GO(1 row(s) affected)'Disk' device added.

# Create a Backup before Truncating / ShrinkingBACKUP DATABASE MyDb TO MyDb_datGOProcessed 26392 pages for database 'MyDb', file 'MigrationBasisplus_Data' on file 9.Processed 1 pages for database 'MyDb', file 'MigrationBasisplus_Log' on file 9.BACKUP DATABASE successfully processed 26393 pages in 9.756 seconds (22.161 MB/sec).

BACKUP LOG MyDb TO MyDb_log

GOProcessed 1 pages for database 'MyDb', file 'MigrationBasisplus_Log' on file 5.BACKUP LOG successfully processed 1 pages in 0.065 seconds (0.039 MB/sec).

# Truncate the Transaction LogBACKUP LOG MyDb WITH TRUNCATE_ONLYGO


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The command(s) completed successfully.

# Drop logical Devicessp_dropdevice 'MyDb_dat'GODevice dropped.

sp_dropdevice 'MyDb_log'GODevice dropped.

# Get the Name of the Transaction LogUSE MyDbSELECT name FROM dbo.sysfilesGO

# Shrink the physical Size of the Transaction Log to 20MBUSE MyDbDBCC SHRINKFILE (MigrationBasisplus_Log, 20)GO

# Avoid a transaction log grows unexpectedlyUSE [master]GO

ALTER DATABASE [MyDb] MODIFY FILE

(NAME = N'MyDb_Log_1', SIZE = 772096KB, MAXSIZE = 921600KB , FILEGROWTH = 10240KB)GO

Database is in SIMPLE Recovery Mode

# For this example we switch to SIMPLE ModeUSE master

ALTER DATABASE MyDb SET RECOVERY SIMPLEGOThe command(s) completed successfully.

# Add logical Device for the Backup (The directories must exist!)EXEC sp_addumpdevice 'disk', 'MyDb_dat','C:\Program Files\Microsoft SQL Server\MSSQL\BACKUP\MyDb_dat.dat'

GO(1 row(s) affected)'Disk' device added.

# Create a Backup before Truncating / ShrinkingBACKUP DATABASE MyDb TO MyDb_datGOProcessed 26392 pages for database 'MyDb', file 'MigrationBasisplus_Data' on file 9.Processed 1 pages for database 'MyDb', file 'MigrationBasisplus_Log' on file 9.BACKUP DATABASE successfully processed 26393 pages in 9.756 seconds (22.161 MB/sec).

# Truncate the Transaction LogBACKUP LOG MyDb WITH TRUNCATE_ONLYGO

The command(s) completed successfully.

# Drop logical Devicesp_dropdevice 'MyDb_dat'GODevice dropped.

# Get the Name of the Transaction LogUSE MyDbSELECT name FROM dbo.sysfilesGOThe command(s) completed successfully.

# Shrink the physical Size of the Transaction Log to 20MBUSE MyDbDBCC SHRINKFILE (MigrationBasisplus_Log, 20)GO

SQL Server Overview

System and User Databases (= Oracle Schema)


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Master (Controls other Databases)

Model (Template for new Databases)

Tempdb (Temporary Storage)

Msdb (Scheduling and Job Information)

Distribution (Replication Information)

SQL Server Services

SQL Server includes four services

MSSQLServer (Database Engine)

SQLServerAgent (Job Scheduling)

MS DTC, Distributed Transaction Coordinater (Distributed Queries, 2P Commit)

Microsoft Search (Full Text Engine)

Referring Objects

select * from ...object

select * from Northwind..customer (Owner is missing)

Metadata (Data Dictionary)

System Stored Procedures ( sp_ )

sp_helpdb [db_name] Infos for Database

sp_help [any object] Infos an Tables, Procedures, etc

sp_helpindex [table_name] Show Indexes for table_name

sp_who Show System Activity

SELECT @@spid Which is my Server Process ID ?

select user_name(),db_name(), @@servername Database User Name, Database,

Server ?

sp_helpdb Northwindsp_help Employees

System Tables ( sys... )

master..syslogins Available login Accounts

master..sysmessages Available System Error / Warnings

master..sysdatabases Available Databases on SQL Server

sysusers Available Win 2000 Users, SQL Server Users

sysobjects Available Objects in the Database

use masterselect * from sysdatabases

use northwindselect * from sysobjectswhere xtype = 'U'

System Functions ( see QA: Common Objects )

DB_ID(DbName) Get Database ID

USER_NAME (id) Get UserName

GETDATE() Get SystemDate

use master

select * from sysdatabases

use northwindselect * from sysobjectswhere xtype = 'U'

Schema Views ( System Table Independent Views)


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select * from information_schema.tables Tables in a Database

select * from information_schema.columns Columns in a Database

select * from information_schema.table_privileges Privileges on Tables

SQL Server Logon and Database Access

1. Login Authentication (Windows Authentication or Mixed Mode)

2. Mapping of OS User to Database User Accounts and Roles

All W2K Administrators are automatically allowed to logon. This can be disabled by deletingthe \BUILTIN\Administrators in the Security Tab on SQL Server Level.

Windows Authentication is the Default (Trusted Connection)

Database Users

Specific to SQL-Server, not the same as the Windows User or Login Account !

Normally dbo is used, mapping is done on Database Level (EM: Users)

Roles

Fixed Server Roles (e.g. System Administrators = DBA) on SQL-Server Level

Fixed Database Role (e.g. db_owner = Has all permissions in the database)

Fixed server role Description

sysadmin Can perform any activity in SQL Server.

serveradmin Can set serverwide configuration options, shut down the

server.

setupadmin Can manage linked servers and startup procedures.

securityadmin Can manage logins and CREATE DATABASE permissions,

also read error logs and change passwords.

processadmin Can manage processes running in SQL Server.

dbcreator Can create, alter, and drop databases.

diskadmin Can manage disk files.

bulkadmin Can execute BULK INSERT statements.

You can get a list of the fixed server roles from sp_helpsrvrole, and get the specific permissions for

each role from sp_srvrolepermission.

Fixed database role Description

db_owner Has all permissions in the database.

db_accessadmi n Can add or remove user IDs.

db_securityadmin Can manage all permissions, object ownerships, roles and

role memberships.

db_ddladmin Can issue ALL DDL, but cannot issue GRANT, REVOKE, orDENY statements.

db_backupoperator Can issue DBCC, CHECKPOINT, and BACKUP statements.

db_datareader Can select all data from any user table in the database.

db_datawriter Can modify any data in any user table in the database.

db_denydatareader Cannot select any data from any user table in the

database.

db_denydatawriter Cannot modify any data in any user table in the database.

Example

USE NorthwindGOsp_addlogin @loginame = 'Akadia', @passwd = 'Akadia', @defdb = 'Northwind'GOsp_grantdbaccess 'Akadia'GOsp_addrole 'Masters'GO


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sp_addrolemember 'Masters', 'Akadia'GOGRANT SELECT ON Employees TO MastersGO

SQL Server Query Designer

Query Designer can be used to graphicaly build a SQL statement, for example the syntax for an

ANSI OUTER Join Syntax. Follow the following steps:

1. Open Enterprise Manager

2. Select a table in the desired Database / Tables

3. Right-Click an select "Open Table / Query", the Query Designer opens.

4. Right-Click an empty area on the diagram oane, and then click "Add Table"

5. Choose another table, i n the SQL Pane you can now see the generated SQL statement

6. For an OUTER Join, right-click the Relation and choose "All rows from "

SQL Server Batch Utility (osql)

The utility osql is a command line tool to run batches. For example you can create the CREDIT

database as follows:

osql /E /S /n /i creabase.sql >> credit.log

/*


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** CREABASE.SQL**** Drop and Recreate the credit database.*/PRINT 'Begin CREABASE.SQL'GOUSE masterSET nocount ONGOIF db_id('credit') IS NOT NULL

DROP DATABASE credit

GOCREATE DATABASE [credit]

ON PRIMARY (NAME = N'credit_Data',FILENAME = N'E:\MSSQL\Data\credit_Data.MDF',

SIZE = 50,FILEGROWTH = 10%)

LOG ON (NAME = N'credit_Log',FILENAME = N'E:\MSSQL\Data\credit_Log.LDF',

SIZE = 1,FILEGROWTH = 10%)

GOALTER DATABASE credit ADD FILEGROUP CreditTablesFGGO

ALTER DATABASE credit ADD FILEGROUP CreditIndexesFGGOALTER DATABASE credit ADD FILE ( NAME = CreditTables, FILENAME = 'E:\MSSQL\Data\CreditTables.ndf', SIZE = 8MB, MAXSIZE = UNLIMITED, FILEGROWTH = 50MB ) TO FILEGROUP CreditTablesFGALTER DATABASE credit ADD FILE ( NAME = CreditIndexes, FILENAME = 'E:\MSSQL\Data\CreditIndexes.ndf',

SIZE = 8MB, MAXSIZE = UNLIMITED, FILEGROWTH = 50MB ) TO FILEGROUP CreditIndexesFGGOPRINT ' 'IF db_id('credit') IS NOT NULL PRINT 'CREATED DATABASE "credit"'ELSE PRINT 'CREATE DATABASE "credit" FAILED'PRINT ' 'GO

osql -S localhost -U zahn -P soladur -n -i Sample_Script2.sql

USE NorthwindIF EXISTS (SELECT * FROM sysobjects WHERE type = 'U' AND name = 'Sample1') DROP TABLE sample1IF EXISTS (SELECT * FROM sysobjects WHERE type = 'V' AND name = 'Sample_View') DROP VIEW Sample_ViewGOCREATE TABLE Sample1 ( cust_no int NOT NULL, fname char(10) NOT NULL, lname char(15) NOT NULL )GOCREATE VIEW Sample_View AS SELECT cust_no, lname FROM Sample1GOINSERT Sample1 VALUES ( 100, 'Adam' , 'Barr' )INSERT Sample1 VALUES ( 200, 'John' , 'Chen' )INSERT Sample1 VALUES ( 300, 'Cindy' , 'Durkin' )INSERT Sample1 VALUES ( 400, 'Roger' , 'Harui' )


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INSERT Sample1 VALUES ( 500, 'Ryan' , 'LaBrie' )SELECT * FROM Sample_View

SQL Server Programming Overview

Local Variables

use northwindgodeclare @lastname varchar(20)

declare @firstname varchar(20)set @lastname = 'Dodsworth'select @firstname = FirstName from employees where lastname = @lastnameprint @firstname + ' ' + @lastnamego

Distributed Queries

Perform a distributed query to retrieve information from the EMP table on Oracle 9.2.0 usind MAG1

as the TNSNAMES.ORA connection string.

1. Create the linked Server

Specify Remote Login/Password (system/manager) in Linked Server Properties.

EXEC sp_addlinkedserver @server = 'MAG1', @srvproduct = 'Oracle 9.2.0', @provider = 'MSDAORA', @datasrc = 'MAG1'GO

2. Start Distributed Query using the SQL Pass Trough Function OPENQUERY

SELECT * FROM OPENQUERY(MAG1,'SELECT * FROM scott.emp')GO

Formatting Dates

Use CONVERT() with date format number, see CONVERT()

select convert(varchar(30), getdate, 104)--> 19.10.2002

SET DATEFORMAT

Sets the order of the dateparts (month/day/year) for entering datetime or smalldatetime data.

SET DATEFORMAT mdyGO

DECLARE @datevar smalldatetimeSET @datevar = '12/31/02 12:30:00'SELECT @datevarGO--> 2002-12-31 12:30:00

CASE function (similar to Oracle DECODE)

Within a SELECT statement, a simple CASE function allows only an equality check no other

comparisons are made. This example uses the CASE function to alter the display of book categoriesto make them more understandable.

USE pubsGOSELECT Category =

CASE type WHEN 'popular_comp' THEN 'Popular Computing' WHEN 'mod_cook' THEN 'Modern Cooking' WHEN 'business' THEN 'Business' WHEN 'psychology' THEN 'Psychology' WHEN 'trad_cook' THEN 'Traditional Cooking'


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ELSE 'Not yet categorized' END, CAST(title AS varchar(25)) AS 'Shortened Title', price AS PriceFROM titlesWHERE price IS NOT NULLORDER BY type, priceCOMPUTE AVG(price) BY typeGO

Category Shortened Title Price

------------------- ------------------------- ---------------------Business You Can Combat Computer S 2.9900Business Cooking with Computers: S 11.9500Business The Busy Executive's Data 19.9900Business Straight Talk About Compu 19.9900 avg ===================== 13.7300

SELECT au_fname, au_lname, CASE state WHEN 'CA' THEN 'California' WHEN 'KS' THEN 'Kansas' WHEN 'TN' THEN 'Tennessee' WHEN 'OR' THEN 'Oregon' WHEN 'MI' THEN 'Michigan' WHEN 'IN' THEN 'Indiana' WHEN 'MD' THEN 'Maryland' WHEN 'UT' THEN 'Utah' END AS StateNameFROM pubs.dbo.authorsORDER BY au_lname

SELECT statement with simple and searched CASE function

Within a SELECT statement, the searched CASE function allows values to be replaced in the result

set based on comparison values. This example displays the price (a money column) as a text

comment based on the price range for a book.

USE pubsGOSELECT 'Price Category' =

CASEWHEN price IS NULL THEN 'Not yet priced'

WHEN price < 10 THEN 'Very Reasonable Title' WHEN price >= 10 and price < 20 THEN 'Coffee Table Title' ELSE 'Expensive book!' END, CAST(title AS varchar(20)) AS 'Shortened Title'FROM titlesORDER BY priceGO

Price Category Shortened Title--------------------- --------------------Not yet priced The Psychology of CoNot yet priced Net EtiquetteVery Reasonable Title The Gourmet MicrowavVery Reasonable Title You Can Combat Compu

Dynamically constructing SQL Statements

Use EXECUTE with Literals and Variables

Change Ownership of Tables in Database Northwind to dbo:

use Northwind

select 'EXECUTE sp_changeobjectowner ''' + name + ''', ''dbo''' from sysobjectswhere type = 'U'

Dynamically construct and run a SELECT statement

declare @dbname varchar(30)declare @tblname varchar(30)set @dbname = 'Northwind'


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set @tblname = 'Products'EXECUTE('USE ' + @dbname + ' SELECT * FROM ' + @tblname)

Transactions

Transactions must be included in a BEGIN TRAN, COMMIT TRAN Block. Updated Rows in the block

are locked for other sessions as long as the transaction is not commited. Open another QA and try

to select, the select waits!

USE Northwind

BEGIN TRAN -- Lock Rows UPDATE Customers SET ContactName = 'Howard Snyder_Updated' WHERE CustomerID ='GREAL' IF (@@ERROR 0) BEGIN RAISERROR ('Transaction failed',16,-1) ROLLBACK TRANSACTION ENDCOMMIT TRANSACTION

SELECT ContactName FROM Customers WHERE CustomerID = 'GREAL'

TOP n Queries

The TOP keyword specifies that the first n rows of the result set are returned. If ORDER BY is

specified, the rows are selected after the result set is ordered. n is the number of rows to

return, unless the PERCENT keyword is specified. PERCENT specifies that n is the percentage of rows

in the result set that are returned. For example, this SELECT statement returns the first 10 cities, in

alphabetic sequence, from the Orders table:

SELECT DISTINCT TOP 10 ShipCity, ShipRegion FROM OrdersORDER BY ShipCity

Show User Tables for specified Database

use northwindselect * from information_schema.tableswhere table_type = 'BASE TABLE'

Show Primary- and Foreign Key of a Table

select * from information_schema.key_column_usagewhere table_name = 'Orders'

Creating and Managing Databases

Database Properties

SELECT DATABASEPROPERTYEX('Northwind', 'IsAutoShrink')

Value Description Value returned

Collation Default collation name for the

database.

Collation name

IsAnsiNullDefault Database foll ows SQL-92 rules

for allowing null values.

1 = TRUE

0 = FALSE

NULL = Invalid input

IsAnsiNullsEnabled All compari sons to a null

evaluate to unknown.

1 = TRUE

0 = FALSE


IsAnsiPaddingEnabled Strings are padded to the same

length before comparison or

insert.

1 = TRUE

0 = FALSE


IsAnsiWarningsEnabled Error or warning messages are

issued when standard error

conditions occur.

1 = TRUE

0 = FALSE



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IsArithmeticAbortEnabled Queries are terminated when an

overflow or divide-by-zero error

occurs during query execution.

1 = TRUE

0 = FALSE


IsAutoClose Database shuts down cleanly

and frees resources after the

last user exits.

1 = TRUE

0 = FALSE


IsAutoCreateStatistics Existing statistics are

automatically updated when the

statistics become out-of-date

because the data in the tables

has changed.

1 = TRUE

0 = FALSE


IsAutoShrink Database files are candidates

for automatic periodic shrinking.

1 = TRUE

0 = FALSE


IsAutoUpdateStatistics Auto update statistics database

option is enabled.

1 = TRUE

0 = FALSE


IsCloseCursorsOnCommitEnabled Cursors that are open when a

transaction is committed are

closed.

1 = TRUE

0 = FALSE


IsFulltextEnabled Database is full-text enabled. 1 = TRUE

0 = FALSE


IsInStandBy Database is online as read-only,

with restore log allowed.

1 = TRUE

0 = FALSE


IsLocalCursorsDefault Cursor declarations default to

LOCAL.

1 = TRUE

0 = FALSE


IsMergePublished The tables of a database can be

published for replication, if

replication is installed.

1 = TRUE

0 = FALSE


IsNullConcat Null concatenation operand

yields NULL.

1 = TRUE

0 = FALSE

NULL = Invalid inputIsNumericRoundAbortEnabled Errors are generated when loss

of precision occurs in

expressions.

1 = TRUE

0 = FALSE


IsQuotedIdentifiersEnabled Double quotation marks can be

used on identifiers.

1 = TRUE

0 = FALSE


IsRecursiveTriggersEnabled Recursive firing of triggers is

enabled.

1 = TRUE

0 = FALSE


IsSubscribed Database can be subscribed for

publication.

1 = TRUE

0 = FALSE

NULL = Invalid inputIsTornPageDetectionEnabled Microsoft SQL Server

detects incomplete I/O

operations caused by powerfailures or other system

outages.

1 = TRUE

0 = FALSE


Recovery Recovery model for the

database.

FULL = full recovery

model

BULK_LOGGED = bulk

logged model

SIMPLE = simple

recovery model

SQLSortOrder SQL Server sort order ID

supported in previous versions

of SQL Server.

0 = Database is using

Windows collation

>0 = SQL Server sort

order ID

Status Database status. ONLINE = database is

available for query

OFFLINE = database


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was explicitly taken

offline

RESTORING =

database is being

restored

RECOVERING =

database is recovering

and not yet ready forqueries

SUSPECT = database

cannot be recoveredUpdateability Indicates whether data can be

modified.

READ_ONLY = data

can be read but not

modifiedREAD_WRITE = data

can be read and

modified

UserAccess Indicates which users can

access the database.

SINGLE_USER = only

one db_owner,dbcreator, or

sysadmin user at a

time

RESTRICTED_USER =

only members of

db_owner, dbcreator,

and sysadmin roles

MULTI_USER = all

users

Version Internal versi on number of the

Microsoft SQL Server code with

which the database was

created. For internal use only by

SQL Server tools and in upgradeprocessing.

Version number =

Database is open

NULL = Database is

closed

Change a propertyUSE masterEXEC sp_dboption 'ClassNorthwind', 'auto create statistics', 'TRUE'

Create a Database

USE master

/* Drop the ClassNorthwind Database if it already exists */IF DB_ID('ClassNorthwind') IS NOT NULLBEGIN DROP DATABASE ClassNorthwindEND

/* Create the Database */CREATE DATABASE ClassNorthwind ON PRIMARY ( NAME = ClassNorthwind_SYS, FILENAME = 'C:\ClassNorthwind_SYS.mdf', SIZE = 5MB, MAXSIZE = 100MB, FILEGROWTH=10% )LOG ON ( NAME = ClassNorthwind_LOG, FILENAME = 'C:\ClassNorthwind_LOG.ldf', SIZE = 15MB, MAXSIZE = 40MB, FILEGROWTH = 10% )

/* Create additional Filegroups */ALTER DATABASE ClassNorthwind


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ADD FILEGROUP TAB

ALTER DATABASE ClassNorthwind ADD FILEGROUP IDX

ALTER DATABASE ClassNorthwind ADD FILE ( NAME = ClassNorthwind_TAB01, FILENAME = 'C:\ClassNorthwind_TAB01.ndf', SIZE = 1MB, MAXSIZE = UNLIMITED,

FILEGROWTH = 50MB ) TO FILEGROUP TABALTER DATABASE ClassNorthwind ADD FILE ( NAME = ClassNorthwind_IDX01, FILENAME = 'C:\ClassNorthwind_IDX01.ndf', SIZE = 1MB, MAXSIZE = UNLIMITED, FILEGROWTH = 50MB ) TO FILEGROUP IDX

/* Alter Default Filegroup */ALTER DATABASE ClassNorthwind MODIFY FILEGROUP [TAB] DEFAULT

GO

Information on Databases

USE ClassNorthwind

dbcc sqlperf (logspace)sp_helpfilegroup [TAB]

EXEC sp_spaceused ''

Data Structures

All Databases have a primary data file (.MDF) and one or more Transaction log files (.LDF)A Database can have secondary data files (.NDF)

Data is stored in 8KB blocks = Pages

Rows cannot span Pages, thus the maximum amount of data in a single row is 8KB

Extents are 8 contiguous Pages = 8x8 = 64KB

Extents

Mixed Extents = contains data of two or more tables

Uniform Extents = contains data of one single table

Secial Pages (in first extent of each file as mixed extent)

File Header Page: File Attributs

Page Free Space (PFS): Free Space in PageGlobal Allocation Map (GAM): Location of free Pages

Secondary Global Allocation Map (SGAM)

Index Allcation Map (IAM): Information about Extents that a Table or Index uses.

Data Page: Normal Row Data other than text, ntext, image

Text/Image Page: BLOBs

Index Page: Index Structures

Database Recovery Model

SIMPLE: Transaction Log is overwritten when full

FULL: Transaction Log must be backed up

alter database ClassNorthwind set recovery simple

alter database ClassNorthwind set recovery full

Check Extents, Pages

dbcc traceon(3604) /* Output to Screen */dbcc extentinfo (ClassNorthwind)


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dbcc page (ClassNorthwind,1,75) /* 1=FileId, 75=PageId */

Traceflags

Trace flags are used to customize certain characteristics controlling how Microsoft SQL Server

operates. Trace flags remain enabled in the server until disabled by executing a DBCC TRACEOFF

statement. New connections into the server do not see any trace flags until a DBCC TRACEON

statement is issued. Then, the connection will see all trace flags currently enabled in the server,

even those enabled by another connection.

Backup a Database

osql -S -U -P -i backup.sql

USE masterEXEC sp_dropdevice 'MyDb_dat'EXEC sp_dropdevice 'MyDb_log'EXEC sp_addumpdevice 'disk', 'MyDb_dat','C:\Program Files\Microsoft SQL Server\MSSQL\BACKUP\MyDb_dat.dat'EXEC sp_addumpdevice 'disk', 'MyDb_log','C:\Program Files\Microsoft SQL Server\MSSQL\BACKUP\MyDb_log.dat'BACKUP DATABASE MyDb TO MyDb_datBACKUP LOG MyDb WITH TRUNCATE_ONLYGO

Device dropped.Device dropped.(1 row affected)'Disk' device added.(1 row affected)'Disk' device added.Processed 26392 pages for database 'MyDb', file 'MigrationBasisplus_Data'Processed 1 pages for database 'MyDb', file 'MigrationBasisplus_Log' on file 3.BACKUP DATABASE successfully processed 26393 pages in 9.719 seconds (22.245 MB/sec).

Restore a Database

osql -S -U -P -i restore.sql

USE masterRESTORE DATABASE CreditFROM DISK = 'C:\CreditDB.BAK'WITH REPLACEGO

Processed 112 pages for database 'Credit', file 'credit_Data' on file 1.Processed 984 pages for database 'Credit', file 'CreditTables' on file 1.Processed 144 pages for database 'Credit', file 'CreditIndexes' on file 1.Processed 1 pages for database 'Credit', file 'credit_Log' on file 1.RESTORE DATABASE successfully processed 1241 pages in 2.408 seconds (4.220 MB/sec)

Creating Tables

User defined Data Types

User defined Data Types should not be used !

BLOBS

Text: CLOB (0-2 GB)

NTEXT: Unicode CLOB (0-2GB)

Image: BLOB (0-2GB)

Blobs are nOT stored within row data, however this can accomplished with

use NorthwindEXEC sp_tableoption N'Employees', 'text in row', 'ON'EXEC sp_tableoption N'Employees', 'text in row', '1000' /* 1000 Chars in Row */

Computed Columns


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Virtual Column that is not physically stored in the table, it is based on other Columns within the

table.

CREATE TABLE mylogintable ( date_in datetime, user_id int, remark varchar(20), remark_upper AS UPPER(RTRIM(remark)), user_name AS USER_NAME())

Generate Column Value with Identity Property

Creates an identity column in a table. This property is used with the CREATE TABLE and ALTER

TABLE Transact-SQL statements (similar to Sequence in Oracle).

Use @@IDENTITY to determine most recent value just after an INSERT.

SCOPE_IDENTITY returns the last IDENTITY value inserted into an identitiy column in the same

scope. A scope is a stored procedure, trigger function or batch.

IDENT_CURRENT returns the last IDENTITY value inserted for a specified table in any session

and any scope.

Example

USE ClassNorthwindGOCREATE TABLE table1(id int IDENTITY)CREATE TABLE table2(id int IDENTITY(100,1))GOCREATE TRIGGER table1ins ON table1 FOR INSERTAS BEGIN INSERT table2 DEFAULT VALUESENDGO-- end of trigger definition

SELECT * FROM table1-- id is empty.

SELECT * FROM table2-- id is empty.

-- Do the following in Session 1INSERT table1 DEFAULT VALUESSELECT @@IDENTITY100-- Returns the value 100, which was inserted by the trigger.

SELECT SCOPE_IDENTITY()1--Returns the value 1, which was inserted by the-- INSERT stmt 2 statements before this query.*/

SELECT IDENT_CURRENT('table2')100-- Returns value inserted into table2, i.e. in the trigger.

SELECT IDENT_CURRENT('table1')1--Returns value inserted into table1, which was-- the INSERT statement 4 stmts before this query.

-- Do the following in Session 2SELECT @@IDENTITY--Returns NULL since there has been no INSERT action

-- so far in this session.

SELECT SCOPE_IDENTITY()--Returns NULL since there has been no INSERT action-- so far in this scope in this session.

SELECT IDENT_CURRENT('table2')


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100--Returns the last value inserted into table2

SET IDENTITY_INSERT

Allows explicit values to be inserted into the identity column of a table.

USE ClassNorthwindGO-- Create products table.CREATE TABLE products (id int IDENTITY(1,1) PRIMARY KEY,

product varchar(40))GO-- Inserting values into products table.INSERT INTO products (product) VALUES ('screwdriver')INSERT INTO products (product) VALUES ('hammer')INSERT INTO products (product) VALUES ('saw')INSERT INTO products (product) VALUES ('shovel')GO

-- Get last inserted keySELECT @@identity

-- Create a gap in the identity values.DELETE productsWHERE product = 'saw'GO

SELECT *FROM productsGO

-- Attempt to insert an explicit ID value of 3-- should return a warning:-- Cannot insert explicit value for identity column in table 'products'-- when IDENTITY_INSERT is set to OFF.

INSERT INTO products (id, product) VALUES(3, 'garden shovel')GO-- SET IDENTITY_INSERT to ON.

SET IDENTITY_INSERT products ONGO

-- Attempt to insert an explicit ID value of 3-- SuccessfullINSERT INTO products (id, product) VALUES(3, 'garden shovel')GO

SELECT *FROM productsGO

Generate Column Value with NEWID Function

Creates a unique value of type uniqueidentifier.

-- Creating a local variable with DECLARE/SET syntax.USE ClassNorthwindDECLARE @myid uniqueidentifierSET @myid = NEWID()PRINT 'Value of @myid is: '+ CONVERT(varchar(255), @myid)GO

-- Create Table using NEWID()CREATE TABLE cust( cust_id uniqueidentifier NOT NULL DEFAULT newid(), company varchar(30) NOT NULL,

contact_name varchar(60) NOT NULL, address varchar(30) NOT NULL, city varchar(30) NOT NULL, state_province varchar(10) NULL, postal_code varchar(10) NOT NULL, country varchar(20) NOT NULL, telephone varchar(15) NOT NULL,


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fax varchar(15) NULL)GO-- Inserting data into cust table.INSERT cust (cust_id, company, contact_name, address, city, state_province, postal_code, country, telephone, fax)VALUES (newid(), 'Wartian Herkku', 'Pirkko Koskitalo', 'Torikatu 38', 'Oulu', NULL, '90110', 'Finland', '981-443655', '981-443655')

Create Table in specified File Group

USE ClassNorthwind

-- Check if Table existsIF OBJECT_ID('Employees') IS NOT NULL DROP TABLE dbo.EmployeesGO

-- Create Table in TAB FilegroupCREATE TABLE Employees ( EmployeeID int IDENTITY (1, 1) NOT NULL , LastName nvarchar (20) NOT NULL , FirstName nvarchar (10) NOT NULL ,

) ON [TAB]GO

Generating Transact-SQL Scripts

1. Open EM

2. Select a Database

3. Right-Click, All Tasks, Generate SQL Script

select * from dbo.sysobjects where id = object_id(N'[dbo].[Region]') and OBJECTPROPERTY(id, N'IsUserTable') = 1

Logged and Nonlogged Bulk Copies

The difference between logged and nonlogged bulk copy operations is how much information is

logged. Both logged and nonlogged bulk copy operations can be rolled back, but only a logged bulk

copy operation can be rolled forward.

In a logged bulk copy all row insertions are logged, which can generate many log records in a large

bulk copy operation. These log records can be used to both roll forward and roll back the logged

bulk copy operation. In a nonlogged bulk copy, only the allocations of new pages to hold the bulk

copied rows are logged.

USE masterGOexec sp_dboption ClassNorthwind,'select into/bulkcopy',trueGOUSE ClassNorthwindSET NOCOUNT ONGO... Do Bulk Insert

Data Integrity

DEFAULT Constraint

USE ClassNorthwind

/* Drop the constraint if it already exists */IF OBJECT_ID('DF_Region') IS NOT NULL

BEGIN ALTER TABLE Employees DROP CONSTRAINT DF_RegionENDGO

/* Add the constraint */ALTER TABLE Employees


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ADD CONSTRAINT DF_Region DEFAULT 'NY' FOR RegionGO

CHECK Constraint

/*Adds a CHECK CONTSTRAINT to verify that the employeebirth date is less than today's date.*/USE ClassNorthwind

ALTER TABLE Employees ADD CONSTRAINT CK_BirthDate CHECK (BirthDate < GETDATE())GO

PRIMARY KEY Constraint

A UNIQUE Index is automatically created. You can specify a clustered or nonclustered index

(clustered is the default). A clustered index is the same as a IOT (index organized Table) in Oracle.

Table data is physically sorted. Only one clustered index is possible per table.

/*Adds a PRIMARY KEY CONTSTRAINT to the Cumtomers table.*/USE ClassNorthwind

ALTER TABLE Customers ADD CONSTRAINT PK_Customers PRIMARY KEY NONCLUSTERED (CustomerID)GO

FOREIGN KEY Constraint

/*Adds a foreign key constraint to the Orders table inthe ClassNorthwind database.

If this is a rerun (and the constraint already exists), firstdrop the constraint.

Use the ClassNorthwind database and set NOCOUNT on to eliminatethe message indicating the number of rows affected.*/

USE ClassNorthwindSET NOCOUNT ONGO

IF EXISTS (SELECT * FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS WHERE CONSTRAINT_SCHEMA = 'dbo' AND CONSTRAINT_NAME = 'FK_Orders_Customers' AND CONSTRAINT_TYPE = 'FOREIGN KEY') ALTER TABLE dbo.Orders DROP CONSTRAINT FK_Orders_CustomersGO

ALTER TABLE dbo.Orders ADD CONSTRAINT FK_Orders_Customers FOREIGN KEY(CustomerID) REFERENCES dbo.Customers(CustomerID)GO

/* Reset NOCOUNT */SET NOCOUNT ONGO

DEFAULT Object

Independent of a Table, can be attached to any Table

/*Creates a default for the ClassNorthwind database.*/USE ClassNorthwind

/* If the default object already exists, drop it */IF OBJECT_ID('DF_Country') IS NOT NULL


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BEGIN EXEC sp_unbindefault 'dbo.Suppliers.Country' DROP DEFAULT DF_CountryENDGO

/* Create the Default Object */CREATE DEFAULT DF_Country AS 'Singapore'GO

/* Bind the Default Object to the Suppliers.Country column */

EXEC sp_bindefault DF_Country, 'dbo.Suppliers.Country'GO

RULE Object

Independent of a Table, can be attached to any Table. Rules uses variables, because column name

is not known when you create the rule.

/*Creates the phone number rule for the ClassNorthwind database.*/USE ClassNorthwind

-- If the rule already exists, unbind and drop it.

IF OBJECT_ID('R_PhotoPath') IS NOT NULLBEGIN EXEC sp_unbindrule 'dbo.Employees.PhotoPath' DROP RULE R_PhotoPathENDGO

-- Create and bind the Rule.CREATE RULE R_PhotoPath AS @PhotoPath LIKE 'http://www.akadia.%'GOEXEC sp_bindrule R_PhotoPath, 'dbo.Employees.PhotoPath'GO

-- OKUPDATE Employees SET PhotoPath = 'http://www.akadia.com' WHERE LastName = 'Fuller'GO

-- OKUPDATE Employees SET PhotoPath = 'http://www.akadia.com' WHERE LastName = 'Fuller'GO

-- NOT OKUPDATE Employees SET PhotoPath = 'http://www.arkum.com' WHERE LastName = 'Fuller'GO

Disabling and Enabling Constraints

Applies to CHECK and FOREIGN KEY Constraints only.

USE ClassNorthwindGOALTER TABLE Orders NOCHECK CONSTRAINT FK_Orders_CustomersGOALTER TABLE Orders CHECK CONSTRAINT FK_Orders_CustomersGO

Table Structure

Pages and Extents


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The actual data in your table is stored in Pages, except BLOB data. If a column contain BLOB data

then a 16 byte pointer is used to reference the BLOB page. The Page is the smallest unit of data

storage in Microsoft SQL Server . A page contains the data in the rows. A row can only reside in

one page. Each Page can contain 8KB of information, due to this, the maximum size of a Row is8KB. A group of 8 adjacent pages is called an extent. A heap is a collection of data pages.

Heaps and the Index Allocation Map (IAM)

Heaps have one row in sysindexes with indid = 0. The column sysindexes.FirstIAM points to the

first IAM page in the chain of IAM pages that manage the space allocated to the heap. Microsoft

SQL Server 2000 uses the IAM (Index Allocation Map) pages to navigate through the heap. Thedata pages and the rows within them are not in any specific order, and are not linked together.The only logical connection between data pages is that recorded in the IAM pages.

Index Structure

All SQL Server indexes are B-Trees. There is a single root page at the top of the tree, branching

out into N number of pages at each intermediate level until it reaches the bottom, or leaf level, of

the index. The index tree is traversed by following pointers from the upper-level pages down

through the lower-level pages. In addition, each index level is a separate page chain.There may be

many intermediate levels in an index. The number of levels is dependent on the index key width,

the type of index, and the number of rows and/or pages in the table. The number of levels is

important in relation to index performance.

Nonclustered Indexes

A nonclustered index is analogous to an index in a textbook. The data is stored in one place,

the index in another, with pointers to the storage location of the data. The items in the index are

stored in the order of the index key values, but the information in the table is stored in a different

order (which can be dictated by a clustered index). If no clustered index is created on the table, the

rows are not guaranteed to be in any particular order.


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Similar to the way you use an index in a book, Microsoft SQL Server 2000 searches for a data

value by searching the nonclustered index to find the location of the data value in the table and then

retrieves the data directly from that location. This makes nonclustered indexes the optimal

choice for exact match queries because the index contains entries describing the exact location inthe table of the data values being searched for in the queries. If the underlying table is sorted using

a clustered index, the location is the clustering key value otherwise, the location is the row ID

(RID) comprised of the file number, page number, and slot number of the row. For example, to

search for an employee ID (emp_id) in a table that has a nonclustered index on the emp_id column,

SQL Server looks through the index to find an entry that lists the exact page and row in the table

where the matching emp_id can be found, and then goes directly to that page and row.

Considerations

Consider using nonclustered indexes for:

Columns that contain a large number of distinct values, such as a combination oflast name and first name (if a clustered index is used for other columns). If there

are very few distinct values, such as only 1 and 0, most queries will not use the

index because a table scan is usually more efficient.

Queries that do not return large result sets.

Columns frequently involved in search conditions of a query (WHERE clause) that

return exact matches.

Decision-support-system applications for which joins and grouping are frequently

required. Create multiple nonclustered indexes on columns involved in join and

grouping operations, and a clustered index on any foreign key columns.

Covering all columns from one table in a given query. This eliminates accessing the

table or clustered index altogether.

Clustered Indexes

A clustered index determines the physical order of data in a table. A clustered index is analogous

to a telephone directory, which arranges data by last name. Because the clustered index

dictates the physical storage order of the data in the table, a table can contain only one clustered

index. However, the index can comprise multiple columns (a composite index), like the way a

telephone directory is organized by last name and first name. Clustered Indexes are very similar toOracle's IOT's (Index-Organized Tables).


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A clustered index is particularly efficient on columns that are often searched for ranges of

values. After the row with the first value is found using the clustered index, rows with subsequent

indexed values are guaranteed to be physically adjacent. For example, if an application frequently

executes a query to retrieve records between a range of dates, a clustered index can quickly locate

the row containing the beginning date, and then retrieve all adjacent rows in the table until the lastdate is reached. This can help increase the performance of this type of query. Also, if there is a

column(s) that is used frequently to sort the data retrieved from a table, it can be advantageous to

cluster (physically sort) the table on that column(s) to save the cost of a sort each time the

column(s) is queried.

Clustered indexes are also efficient for finding a specific row when the indexed value is unique. For

example, the fastest way to find a particular employee using the unique employee ID columnemp_id is to create a clustered index or PRIMARY KEY constraint on the emp_id column.

Note PRIMARY KEY constraints create clustered indexes automatically if no clustered index

already exists on the table and a nonclustered index is not specified when you create the PRIMARY

KEY constraint.

Considerations

It is important to define the clustered index key with as few columns as possible . If a large

clustered index key is defined, any nonclustered indexes that are defined on the same table will be

significantly larger because the nonclustered index entries contain the clustering key.

Consider using a clustered index for:

Columns that contain a large number of distinct values.

Queries that return a range of values using operators such as BETWEEN, >, >=,


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Wide keys

The key values from the clustered index are used by all nonclustered indexes

as lookup keys and therefore are stored in each nonclustered index leaf entry.

Sysindexes Table

The sysindexes table is a central location for information about tables and indexes. It contains

statistical information, such as the number of rows and data pages in each table. It describes how to

find information stored in a data table.

Contains one row for each index and table in the database. This table is stored in each database.

Column name Data type Description

id int ID of table (for indid = 0 or 255). Otherwise, ID

of table to which the index belongs.

status int Internal system-status information.

first binary(6) Pointer to the first or root page.

indid smallint ID of index:

0 = Heap = Table Data (not Index)

1 = Clustered Index

2 ... 254 = Nonclustered Index255 = Entry for tables that have text or image

data

root binary(6) For indid >= 1 and < 255, root is the pointer to

the root page. For indid = 0 or indid = 255, root

is the pointer to the last page.

minlen smallint Minimum size of a row.

keycnt smallint Number of keys.

groupid smallint Filegroup ID on which the object was created.

dpages int For indid = 0 or indid = 1, dpages is the count ofdata pages used. For indid=255, it is set to 0.

Otherwise, it is the count of index pages used.

reserved int For indid = 0 or indid = 1, reser ved is the countof pages allocated for all indexes and table data.

For indid = 255, reserved is a count of the pages

allocated for text or image data. Otherwise, it is

the count of pages allocated for the index.

used int For indid = 0 or indid = 1, used is the count of

the total pages used for all index and table data.

For indid = 255, used is a count of the pages

used for text or image data. Otherwise, it is the

count of pages used for the index.

rowcnt bigint Data-level rowcount based on indid = 0 and indid= 1. For indid = 255, rowcnt is set to 0.

rowmodctr int Counts the total number of inserted, deleted, orupdated rows since the last time statistics were

updated for the table.

xmaxlen smallint Maximum size of a row.

maxirow smallint Maximum size of a nonleaf index row.

OrigFillFactor tinyint Original fillf actor value used when the index was

created. This value is not maintained however,

it can be helpful if you need to re-create an

index and do not remember what fillfactor wasused.

reserved1 tinyint Reserved.

reserved2 int Reserved.

FirstIAM binary(6) Reserved.

impid smallint Reserved. Index implem entation flag.

lockflags smallint Used to constrain the considered lock

granularities for an index. For example, a lookup

table that is essentially read-only could be set up


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to do only table level locking to minimize locking

cost.

pgmodctr int Reserved.

keys varbinary(816) List of the column IDs of the columns that makeup the index key.

name sysname Name of table (for indid = 0 or 255). Otherwise,name of index.

statblob image Statistics BLOB.

maxlen int Reserved.

rows int Data-level rowcount based on indid = 0 and indid= 1, and the value is repeated for indid >1. For

indid = 255, rows is set to 0. Provided for

backward compatibility.

Verify the sysindexes Table

/*** Create a nonclustered index on the CustomerID column** in the Orders table of the ClassNorthwind database.**** This script checks for the existance of the** Orders_Customers_link index.

** If it exists we will drop it first then create it.*/USE ClassNorthwindSET NOCOUNT ONGO

/*** If the objects already exist (i.e. if this is a rebuild), drop them.*/IF EXISTS (SELECT name FROM sysindexes WHERE name = 'Orders_Customers_link') DROP INDEX Orders.Orders_Customers_linkGO

/* Create the Index with a FILLFACTOR of 75 */CREATE NONCLUSTERED INDEX Orders_Customers_link ON Orders(CustomerID) WITH FILLFACTOR = 75GO

SET NOCOUNT OFFGO

/*** This script queries the sysindexes system table.** It joins to the sysobjects table to get the table names.** It selects only the user defined tables (those with** an id greater than 100.)*/

USE ClassNorthwindGO

SELECT t.name AS [Table Name], i.name AS [Index Name], i.* FROM sysobjects AS t JOIN sysindexes AS i ON t.id = i.id WHERE t.id > 100ORDER BY t.name

SELECT t.name AS [Table Name], i.name AS [Index Name], i.* FROM sysobjects AS t JOIN sysindexes AS i ON t.id = i.id WHERE i.name = 'Orders_Customers_link'

TableName = OrdersIndexName = Orders_Customers_link

id = 869578136indid = 3minlen = 19keycnt = 2groupid = 2dpages = 4reserved = 6


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used = 6rowcnt = 830xmaxlen = 36maxirow = 42OrigFillFactor = 75FirstIAM = 0x7E0000000300

Full Table Scan

1. Lookup SYSINDEXES Table for given Table

2. INDID = 0, FirstIAM points to IAM

3. Lookup Extents with BitMap = 1 for this Table in IAM

4. Read all Extents on Disk, Rows are returned unsorted

Non Clustered Index Read


2. INDID = 2 ... 254, read ROOT column for Root Index to find Non-Leaf Level of Non

Clustered Index

3. Lookup RID (RowId) in Leaf Level (Key Values). Each RID consists of File-ID, Page-No,

Row-No (4:706:02)

4. Read only those Rows from Heap which are needed.

Clustered Index Read


2. INDID = 1, read ROOT column for Root Index to find Non-Leaf Level of Clustered Index

3. Read needed Leaf Level Rows. The data rows of a clustered index are sorted and stored in a

sequential order based on their clustered key.

Clustered Index with Non Clustered Index Read

When a nonclustered index is added to a table that already has a clustered index, the row locator of

each nonclustered index contains the clustered key index value for the row.


2. INDID = 2 ... 254, read ROOT column for Root Index to find Non-Leaf Level of Non

Clustered Index

3. Lookup Clustered Key Value in Leaf Level of Non-clustered Index

4. Lookup Root Index to find Non-Leaf Level of Clustered Index

5. Read needed Leaf Level Rows. The data rows of a clustered index are sorted and stored in a

sequential order based on their clustered key.

Page Splits in an Index

Occurs if data page or index page does not have enough room to accommodate the data, a

new page is added in a process known as a page split.

Approximately half of the data remains on the old page and the other half is moved to the

new page.

Page Splits do not occur in a Heap

Forwarding Pointers handles updates to a row in a heap which needs more room than is

currently available on that page. The row is moved to a new data page.

The row leaves a forwarding pointer in its original location.

Determining Selectitivity


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High Selectivity: Low Value in % for Number of Rows meeting criteria / Total number of Rows in

Table (e.g. 5%)

Low Selectivity: High Value in % for Number of Rows meeting criteria / Total number of Rows in

Table (e.g. 90%)

Density is another concept for measuring the selectivity:

High Selectivity = Low Density

Low Selectivity = High Density

Determine Table Structures (e.g. tablename = 'member')

Number of Rows

EXEC sp_spaceused 'member'10'000

Displays fragmentation information for the data and indexes of the specified table

DBCC SHOWCONTIG ('member')

DBCC SHOWCONTIG scanning 'member' table...Table: 'member' (2025058250) index ID: 0, database ID: 9TABLE level scan performed.

- Pages Scanned................................: 145- Extents Scanned..............................: 19- Extent Switches..............................: 18- Avg. Pages per Extent........................: 7.6- Scan Density [Best Count:Actual Count].......: 100.00% [19:19]- Extent Scan Fragmentation ...................: 0.00%- Avg. Bytes Free per Page.....................: 95.6- Avg. Page Density (full).....................: 98.82%

Number of Rows per Page

= Number of Rows / Pages Scanned = 10'000 / 145 = 68

Number of Extens

Extent Switches = 18

Number of Indexes

SELECT * FROM sysindexes WHERE id = OBJECT_ID('member')

Number of clustered Index Pages (sysindexes: used)

/* create a clustered index on the member table and note the changes */CREATE UNIQUE CLUSTERED INDEX mem_no_CL ON member (member_no)SELECT * FROM sysindexes WHERE id = OBJECT_ID('member')

used: 147

Number of data pages in the clustered index (sysindexes: dpages)

dpages = 145

Number of non-data pages in the clustered index (used - dpages)

used - dpages = 147 - 145 = 2

Number of pages in non-clustered index (used for index: indid = 2)

/* Now create a nonclustered index and note the changes */CREATE NONCLUSTERED INDEX indx_fname ON member(firstname)SELECT * FROM sysindexes WHERE id = OBJECT_ID('member')

used: 35

Number of pages in the leaf level for non-clustered index (dpages for index: indid = 2)

dpages: 33

Approximate number of rows per leaf page for non-clustered index

# rows in table/# leaf-level pages = 10'000 / 33 = 303


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Optimizer Statistics

Can be created on indexes and on Table Columns

Sampling Statistics is randomly selecting data pages from a table

FULLSCAN gathers all data

Statistics are stored in the statblob column of the sysindexes system table

Usually Statistics are collected automatically (see: Database Options, Auto create statistics)

Manually Creating Statistics

Can be useful when you have a column that may not benefit from an index, but statistics on that

column may be useful for creating more optimal execution plans. Having statistics on those columns

eliminates the overhead of an index.

SET ClassNorthwindGO

CREATE STATISTICS ST_Company ON Customers (CompanyName, ContactName) WITH SAMPLE 50 PERCENTGO

CREATE STATISTICS ST_Contact ON Customers (ContactName) WITH FULLSCANGOSELECT * FROM sysindexes WHERE id = OBJECT_ID('Customers')GODROP STATISTICS Customers.ST_ContactGODROP STATISTICS Customers.ST_CompanyGO

Create Statistics for whole Database

Creates single-column statistics for all eligible columns for all user tables in the current database.The Stored Procedure index_cleanup is used because there is no sp_dropstats.

USE ClassNorthwindGO/* Remove Statistics from each Table in the database */EXEC index_cleanup CategoriesEXEC index_cleanup CustomerCustomerDemoEXEC index_cleanup CustomerDemographicsEXEC index_cleanup CustomersEXEC index_cleanup EmployeesEXEC index_cleanup EmployeeTerritoriesEXEC index_cleanup [Order Details]EXEC index_cleanup Orders

EXEC index_cleanup ProductsEXEC index_cleanup RegionEXEC index_cleanup ShippersEXEC index_cleanup SuppliersEXEC index_cleanup TerritoriesGO/* Create Statistics */sp_createstats

/* Show created statistics*/sp_helpstats Employees

The created statistic has the same name as the column on which it is created. Computed columns

and columns of the ntext, text, or image data types cannot be specified as statistics columns.

View Index Statistics and evaluating Index Selectivity

/* Cleanup Statistics */EXEC index_cleanup member

/* Create UNIQUE index */


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CREATE UNIQUE INDEX indx_member_no ON member (member_no)GO/* View Index Statistics and evaluating Index Selectivity */DBCC SHOW_STATISTICS (member,indx_member_no)

Rows = 10000Density = 9.9.E-5 (Very selective, due to UNIQUE index on column)All Density = 9.9.E-5

Density: [ 0 ... 1 ], 0 = High Selectivity, 1 = Low Selectivity

All Density: Over more columns

Views

Creating Views

CREATE VIEW [Orders Qry]ASSELECT O.OrderID, O.CustomerID, O.EmployeeID, O.OrderDate, O.RequiredDate, O.ShippedDate, O.ShipVia, O.Freight, O.ShipName, O.ShipAddress, O.ShipCity, O.ShipRegion, O.ShipPostalCode, O.ShipCountry, C.CompanyName, C.Address, C.City, C.Region, C.PostalCode, C.Country FROM Customers C INNER JOIN Orders O ON C.CustomerID = O.CustomerID

CREATE VIEW MyTopCities AS SELECT DISTINCT TOP 10 PERCENT ShipCity, ShipRegion

FROM Orders ORDER BY ShipCity

Encrypt / Decrypt Views

CREATE VIEW MyTopCitiesWITH ENCRYPTION ASSELECT DISTINCT TOP 10 PERCENT ShipCity, ShipRegionFROM OrdersORDER BY ShipCity

sp_helptext MyTopCities

The object comments have been encrypted.

Decrypt the View with the Public Domain Stored Procedure DECRYPT2K

EXEC dbo.DECRYPT2K MyTopCities,'V'

Updateable Views

CREATE VIEW FormaggiProductsViewAS SELECT ProductID, ProductName, SupplierID FROM Products WHERE SupplierID = 14

WITH CHECK OPTION

Indexed Views

See here

Stored Procedures

System Stored Procedures, identified by the sp_ prefix

Temporary Stored Procedures have names start with a single number sign (#)

Extended Stored Procedures are implemented as DLLs (xp_)

Name of SP is in sysobjects table, code in syscomments table

-- Create Stored Procedure


IF EXISTS (SELECT * FROM dbo.sysobjects WHERE id = object_id(N'[dbo].[MyOrders]') AND OBJECTPROPERTY(id, N'IsProcedure') = 1) DROP PROCEDURE [dbo].[MyOrders]
http://www.akadia.com/services/sqlsrv_matviews.html


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GO

CREATE PROCEDURE MyOrdersAS SELECT * FROM Orders WHERE RequiredDate < GETDATE() AND ShippedDate IS NULLGO

-- Execute Stored Procedure by ItselfEXEC MyOrdersGO

Populate Table with a Stored Procedure

The INSERT statemant can populate a local table with a result set that is returned from a local or

remote stored procedure. SQL Server loads the table with data that is returned from SELECT

statements in the stored procedure. Tha table mus exist.

-- Excecute Stored Procedure within an INSERT StatementINSERT INTO MyTable EXEC MyOrdersGO

-- Help on Stored Proceduressp_help MyOrderssp_helptext MyOrders

sp_depends MyOrderssp_stored_procedures

Check Stored Procedure Properties

Use OBJECT_ID() and OBJECTPROPERTY()

DECLARE @obid INTEGERSELECT @obid = OBJECT_ID('MyOrders')SELECT OBJECTPROPERTY(@obid,'ExecIsAnsiNullsOn')

Recompile all Stored Procedures, Trigger that reference a Table

Causes stored procedures and triggers to be recompiled the next time they are run.sp_recompile

Using Input Parameters


CREATE PROCEDURE YearSales @Start datetime, @End datetime = NULLASIF (@Start IS NULL OR @End IS NULL)BEGIN RAISERROR('NULL Values are not allowed',14,1) RETURNENDSELECT ShippedDate, OrderID FROM OrdersWHERE DATENAME (yyyy,ShippedDate) BETWEEN @Start AND @EndGO

EXEC YearSales @Start = '1997', @End = '1998'

Returning Values Using Output Parameters

CREATE PROCEDURE MathTutor @m1 smallint, @m2 smallint, @result smallint OUTPUTAS SET @result = @m1 * @m2GO


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DECLARE @answer smallintEXECUTE MathTutor 5,6,@answer OUTPUTSELECT 'Result = ', @answer

Process OUTPUT Value and RETURN Parameter

USE ClassNorthwindGO/* Create Procedure with OUTPUT Parameter */CREATE PROC dbo.OrderCount

@CustomerID nchar (5), @OrderCount int OUTPUTASIF EXISTS (SELECT * FROM Orders WHERE CustomerID = @CustomerID AND ShippedDate IS Null) BEGIN SELECT @OrderCount=COUNT(*) FROM Orders WHERE CustomerID = @CustomerID RETURN (@@ROWCOUNT) ENDELSE RETURN (0)GO/* Process Return Value and OUTPUT Parameter */

DECLARE@CustomerID nchar (5),@Message varchar(80),@ReturnCode int,@NumberOrders intSET @CustomerID = 'LILAS'EXEC @ReturnCode = OrderCount @CustomerID, @NumberOrders OUTPUT

IF @ReturnCode = 1

BEGIN SELECT @Message = 'Customer ' + RTRIM(CONVERT(char(8),@CustomerID)) + ' has ' +

RTRIM(CONVERT(char(8),@NumberOrders)) + ' unfilled order(s).' RAISERROR (@Message, 10 ,1)ENDELSEBEGIN SELECT @Message = 'Customer ' + RTRIM(convert(char(8),@CustomerID)) + ' has NO unfilled order(s).' RAISERROR (@Message, 10 ,1)ENDGO

Using last insert @@identity for Foreign Key ValueUSE ClassNorthwindGO

/* If the object already exists in the database, drop it. */IF OBJECT_ID('SupplierProductInsert') IS NOT NULL DROP PROCEDURE SupplierProductInsertGO

/* Create SP to INSERT Values in Supplier Table */CREATE PROCEDURE SupplierProductInsert @CompanyName nvarchar (40) = NULL, @ContactName nvarchar (40) = NULL, @ContactTitle nvarchar (40)= NULL,

@Address nvarchar (60) = NULL, @City nvarchar (15) = NULL, @Region nvarchar (40) = NULL, @PostalCode nvarchar (10) = NULL, @Country nvarchar (15) = NULL, @Phone nvarchar (24) = NULL, @Fax nvarchar (24) = NULL,


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@HomePage ntext = NULL, @ProductName nvarchar (40) = NULL, @CategoryID int = NULL, @QuantityPerUnit nvarchar (20) = NULL, @UnitPrice money = NULL, @UnitsInStock smallint = NULL, @UnitsOnOrder smallint = NULL, @ReorderLevel smallint = NULL, @Discontinued bit = NULLAS IF @CompanyName IS NULL OR

@ContactName IS NULL OR @Address IS NULL OR @City IS NULL OR @Region IS NULL OR @PostalCode IS NULL OR @Country IS NULL OR @Phone IS NULL OR @ProductName IS NULL OR @CategoryID IS NULL OR @QuantityPerUnit IS NULL OR @Discontinued IS NULL BEGIN PRINT 'You must provide Company Name, Contact Name, Address, City' PRINT 'Region, Postal Code, Country, Phone, Product Name, and Discontinued.' PRINT '

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