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70-761 Querying Data with Transact-SQL

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70-761 exam Dumps Source : Querying Data with Transact-SQL

Test Code : 70-761
Test title : Querying Data with Transact-SQL
Vendor title : Microsoft
: 120 actual Questions

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Microsoft Querying Data with Transact-SQL

facts Compression in SQL Server 2012 | killexams.com actual Questions and Pass4sure dumps

This chapter is from the book 

With information explosion happening in the industry and business, more and more facts is being saved within SQL Server. youngsters, the databases are no longer averaging 100GB in size as they had been 10 years in the past. Now databases endure become higher than ever, with sizes from 10 to 50TB now being regular. additionally, it's frequently simplest a elect few tables inside the database which are transforming into to those listing-breaking sizes. To fight this, in spite of the fact that storage is getting more cost-effective, Microsoft has introduced records compression and tools, particularly the information Compression Wizard and particular Transact-SQL statements, to facilitate statistics compression. therefore, a DBA can compress tables and indexes to preserve space for storing at a mild CPU charge. some of the leading design desires of information compression was to subside information warehouse fact tables. verity tables are usually the largest tables inside a lore warehouse as a result of they accommodate nearly every single of the information associated with a database.

SQL Server offers two strategies, web page and Row compression, to nick back records storage on disk and velocity I/O performance with the aid of cutting back the quantity of I/O required for transaction processing. page and row compression drudgery in distinct, yet complementary, methods and are charge extra discussion.

page compression uses an algorithm known as “deduplication.” When deduplicating, because the identify implies, SQL Server looks for replica values that appear repeatedly in the statistics web page. for example, the table HumanResources.worker in the AdventureWorks2012 database carries an nvarchar(50) column called JobTitle. This column carries many replica values—issues relish “Design Engineer” and research and construction manager.” These values might appear again and again on a single records page. the exercise of page compression, SQL Server can eradicate such reproduction values inside an information web page by using replacing each replica charge with a tiny pointer to a single sight of the total value. (by the way, here's called “dictionary-based mostly compression.”)

by artery of assessment, row compression does not really exercise a compression algorithm per se. instead, when row compression is enabled, SQL Server effortlessly removes any additional, unused bytes in a set statistics class column, similar to a CHAR(50) column.

web page and row compression don't seem to exist compatible, however by enabling page compression SQL Server automatically comprises row compression. that you would exist able to furthermore specify compression per partition, so partitioned tables might endure numerous compression requisites at once.

using the records Compression Wizard to Compress area

The statistics Compression Wizard can furthermore exist used to research and compress space linked to a desk stored in a stack or clustered index constitution. additionally, it could actually furthermore befriend compression tables the usage of nonclustered index and index views. at last, if the desk is partitioned, a DBA can compress parts of the tables, and various partitions wouldn't endure to preserve the equal compressed settings.

The records Compression Wizard can exist invoked through right-clicking any desk or index and deciding upon Storage after which exploit Compression. step one is to elect the compression category in response to a partition number, or you can elect to exercise the equal compression for every single partitions. The compression options encompass Row, web page, or None, indicating no compression.

The next step is to click the device button to evaluation the disk can imbue reductions. The can imbue rate reductions will exist displayed in the Requested Compressed space column in line with a partition quantity. here's displayed in determine three.14. The final step includes picking out an output choice. it is feasible to create a script, hasten automatically, or agenda the task to inaugurate at a later time.

Figure 3.14.

determine 3.14. Specifying the compression ilk with the records Compression Wizard.

statistics Compression with Transact SQL

For those of you who don't relish the usage of a GUI, here examples define the default syntax for compressing statistics with Transact-SQL.

creating a desk with Row Compression Enabled CREATE table <desk identify> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = ROW); GO making a desk with page Compression Enabled CREATE table <table identify> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = web page); GO

right here Transact-SQL syntax illustrates compressing the sales Order detail table in the AdventureWorks2012 database by artery of the web page compression setting:

USE [AdventureWorks2012] ALTER desk [Sales].[SalesOrderDetail] REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = web page )

which you could parade screen compression pastime with the performance counters web page Compression makes an attempt/sec and web page Compressed/sec organize in the SQL Server entry methods Object. as an instance, this Transact-SQL code will query each counters:

select cntr_value FROM sys.dm_os_performance_counters where counter_name relish 'page Compression%'

As outlined past, compression is covered handiest within the enterprise version of SQL Server. Compression technologies dramatically nick I/O requests and storage; despite the fact, the storage won is customarily on the imbue of added CPU endeavor. hence, it is strongly counseled that you examine earlier than implementing statistics compression in a construction workload situation. In most transaction processing scenarios, SQL Server has CPU to spare and sorely needs greater I/O throughput. despite the fact, every so often the improvement to I/O performance is not titanic adequate to warrant the lost CPU. verify to beget sure that efficiency isn't negatively impacted.


Microsoft Introduces Azure SQL statistics Warehouse | killexams.com actual Questions and Pass4sure dumps

Microsoft these days introduced a brand new provider in its Azure database lineup during its construct developer conference keynote today. The Azure SQL information Warehouse, so they can evaporate into public preview in June, is meant to give companies entry to an elastic petabyte-scale, statistics warehouse-as-a-carrier offering that may scale in accordance with their wants.

With SQL information Warehouse, businesses can exist sure that they only pay for the utilization they need and when they want it, Microsoft’s company VP for its facts platform T.okay. “Ranga” Rengarajan instructed me past this week. shoppers are billed for their Azure blob storage, as well as the hourly compute quotes they incur whereas working with the information. because it separates compute and storage, clients best pay for the queries they want. This skill a company can combination every single of its information and only pays for storage except it must hasten a quarterly record over this tips, for instance.

sql_lake

As Microsoft notes, the service is meant to provide groups the aspects they are expecting from their databases relish complete indexing, partitions and columnar indexing. The industry furthermore argues that different information warehouses can bewitch hours or days to resize, whereas SQL statistics Warehouse can adjust to a user’s wants in minutes. as the title implies, the query language for the provider is SQL (notably Microsoft SQL Server’s Transact-SQL), which most builders are doubtless typical with at this element.

2I8A9219

The carrier may furthermore exist built-in with other tools relish PowerBI for visualizing records, Azure laptop researching, Azure information manufacturing facility for adventure processing and Azure’s HDInsight Hadoop-primarily based huge information analytics provider.

With SQL records Warehouse, Microsoft provides yet another product to its compass of database features that now encompass SQL Database for timehonored relational databases and the DocumentDB NoSQL document database, in addition to paraphernalia relish StorSimple for storing and securing huge amounts of statistics.


SQLXML 3.0 Now purchasable | killexams.com actual Questions and Pass4sure dumps

SQLXML edition three.0 is now accessible from Microsoft. SQLXML, furthermore exist conscious of as XML for SQL Server, extends the built-in XML capabilities of SQL Server 2000 with know-how to create XML internet features from SQL Server kept procedures or server-facet XML templates. SQLXML 3.0 additionally contains extensions to the .internet Framework that supply SQLXML programmability to the languages supported by means of Microsoft visual Studio .internet, together with C# and Microsoft visual primary .internet.

SQLXML makes it feasible for builders to bridge the gap between Extensible Markup Language (XML) and relational statistics. you could create XML views of your existing relational information and drudgery with it as if it endure been an XML file. SQLXML is your respond in case you deserve to: query relational information with XPath; query relational information with Transact-SQL and recrudesce XML effects; update relational information as if it endure been XML; Load very tremendous XML information into an existing SQL Server 2000 database, changing them to relational records; question your SQL Server facts by using URLs from your net browser or net software; access SQL Server XML functionality with OLE DB, Microsoft ActiveX information Objects (ADO), or Microsoft .internet Managed courses.

alterations in the new 3.0 release include an up to date installer (Microsoft windows Installer 2.0), up to date aid for Diffgrams, back for new aspects introduced since the free up of MS visual Studio .internet Beta 2, and befriend for lately released types of the .web Framework and cleaning soap Toolkit. additionally, the features introduced in SQLXML 1.0 and SQLXML 2.0 are covered in the download of SQLXML 3.0.

The 3.0 unencumber requires SQL Server 2000 (edition 8.00.194) and MDAC 2.6 or later to exist set in before the setting up will furthermore exist run. SQLXML three.0 furthermore has a dependency on MSXML version 4.0, which is included with the SQLXML down load.

SQLXML 3.0 can furthermore exist downloaded at:

http://msdn.microsoft.com/downloads/sample.asp?url=/MSDN-information/027/001/824/msdncompositedoc.xml.

additional information on SQLXML can furthermore exist organize at:

http://www.microsoft.com/sql/techinfo/xml/.

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Querying Data with Transact-SQL

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Query vigorous Directory Data from SQL Server using T-SQL | killexams.com actual questions and Pass4sure dumps

Active Directory Service Interfaces, furthermore known as ADSI, is a set of COM interfaces used to access the directory services to retrieve data. Though it is predominantly used by network administrators and system administrators, there are situations where SQL Server Database administrators or the application that uses SQL Server as the backend needs to fetch data from ADSI.

This article illustrates how to exercise SQL Server Transact SQL with OPENROWSET and OPENQUERY commands to access and retrieve data from vigorous Directory.

In order to query data from vigorous Directory, you need to know the Organizational Units, containers and domain controllers. every single the three are not mandatory to retrieve information. You could query ADSI just by using the domain title and domain container.

  • CN is containers that are usually defined as users, contacts, groups
  • OU is organizational units that usually accommodate objects such users, contacts, groups and other OUs
  • DC is domain containers that are created by separating the complete internal domain name 
  • In this article, I am going to exercise the following OU and DC.

    DomainName=Domainname.company.com

    OU=northamerica

    DC=domainname,dc=company,dc=com

    CN=

    Note: tickle replace the OU, DC and CN information mentioned here with your company's OU, CN and DC.

    The first system to query vigorous Directory from SQL Server is by using OpenRowSet. If you want to know more about openrowset tickle read this article.

    You can access information from vigorous directory by executing the following query.

    USE [master] GO sp_configure 'show advanced options',1 GO reconfigure with override GO sp_configure 'Ad Hoc Distributed Queries',1 GO reconfigure with override GO SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM OPENROWSET('ADSDSOObject','adsdatasource' , 'SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM ''LDAP://Domainname.company.com/ou=northamerica, dc=domainname,dc=company,dc=com'' WHERE title = ''BlackieHong''') GO

    You may descry an error message, similar to the message shown below, if you Do not endure access to vigorous Directory.

    Msg 7321, even 16, state 2, Line 1 An error occurred while preparing the query "SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM 'LDAP://Domainname.company.com/ou=northamerica, dc=domainname,dc=company,dc=com' WHERE title = 'BlackieHong'" for execution against OLE DB provider "ADSDSOObject" for linked server "(null)".

    In such cases, you can pass the login and password as allotment of your openrowset command as shown below.

    SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM OPENROWSET('ADSDSOObject','adsdatasource'; 'Domainname\MAK';'*******', 'SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM ''LDAP://Domainname.company.com/ou=northamerica,dc=domainname,dc=company,dc=com'' WHERE title = ''BlackieHong''')

    Note: tickle replace Domainname\MAK with your domain and login title and ******* with your password or replace it with the login and password that endure access to vigorous Directory.

    In the above query they are getting information about a particular user, "BlackieHong," from vigorous Directory. The first system can exist used when you don't need to query vigorous Directory that often.

    The second system of getting data from vigorous Directory is by using Linked Server. This system can exist used when you query vigorous Directory many times.

    Let us create a linked server as shown below.

    USE [master] GO sp_configure 'show advanced options',1 GO reconfigure with override GO sp_configure 'Ad Hoc Distributed Queries',1 GO reconfigure with override GO USE [master] GO /****** Object: LinkedServer [ADSI] Script Date: 10/23/2009 05:41:54 ******/ IF EXISTS (SELECT srv.name FROM sys.servers srv WHERE srv.server_id != 0 AND srv.name = N'ADSI')EXEC master.dbo.sp_dropserver @server=N'ADSI', @droplogins='droplogins' GO /****** Object: LinkedServer [ADSI] Script Date: 10/23/2009 05:42:16 ******/ EXEC master.dbo.sp_addlinkedserver @server = N'ADSI', @srvproduct=N'Active Directory Service Interfaces', @provider=N'ADSDSOObject', @datasrc=N'adsdatasource' /* For security reasons the linked server remote logins password is changed with ######## */ EXEC master.dbo.sp_addlinkedsrvlogin @rmtsrvname=N'ADSI',@useself=N'True',@locallogin=NULL,@rmtuser=NULL,@rmtpassword=NULL GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'collation compatible', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'data access', @optvalue=N'true' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'dist', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'pub', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'rpc', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'rpc out', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'sub', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'connect timeout', @optvalue=N'0' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'collation name', @optvalue=null GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'lazy schema validation', @optvalue=N'false' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'query timeout', @optvalue=N'0' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'use remote collation', @optvalue=N'true' GO EXEC master.dbo.sp_serveroption @server=N'ADSI', @optname=N'remote proc transaction promotion', @optvalue=N'true' GO

    Now let's query the vigorous Directory using OPENQUERY, as shown below.

    SELECT * FROM OPENQUERY( ADSI, 'SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM ''LDAP://Domainname.company.com/ou=northamerica,dc=domainname,dc=company,dc=com'' WHERE title = ''BlackieHong''') GO

    You may descry an error message, similar to the message shown below, if you Do not endure access to vigorous Directory.

    Msg 7321, even 16, state 2, Line 2 An error occurred while preparing the query "SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM 'LDAP://Domainname.company.com/ou=northamerica,dc=domainname,dc=company,dc=com' WHERE title = 'BlackieHong'" for execution against OLE DB provider "ADSDSOObject" for linked server "ADSI".

    In such cases, you should set up the remote login for the linked server that you endure created. Execute the TSQL command as shown below.

    EXEC sp_addlinkedsrvlogin @rmtsrvname = N'ADSI', @locallogin = NULL , @useself = N'False', @rmtuser = N'Domainname\MAK', @rmtpassword = N'**********' GO SELECT * FROM OPENQUERY( ADSI, 'SELECT Name, displayName,givenname,distinguishedName, SAMAccountName FROM ''LDAP://Domainname.company.com/ou=northamerica,dc=domainname,dc=company,dc=com'' WHERE title = ''BlackieHong''') GO

    Note: tickle replace Domainname\MAK with your domain and login title and ******* with your password or replace it with the login and password that endure access to vigorous Directory.

    This article illustrated how to exercise SQL Server Transact SQL with OPENROWSET and OPENQUERY commands to access and retrieve data from vigorous Directory.

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    Data Compression in SQL Server 2012 | killexams.com actual questions and Pass4sure dumps

    This chapter is from the book 

    With data explosion occurring in the industry and enterprise, more and more data is being stored within SQL Server. However, the databases are no longer averaging 100GB in size as they were 10 years ago. Now databases are becoming larger than ever, with sizes from 10 to 50TB now being common. In addition, it is often only a select few tables within the database that are growing to these record-breaking sizes. To combat this, even though storage is getting cheaper, Microsoft has introduced data compression and tools, namely the Data Compression Wizard and specific Transact-SQL statements, to facilitate data compression. Therefore, a DBA can compress tables and indexes to conserve storage space at a slight CPU cost. One of the main design goals of data compression was to shrink data warehouse fact tables. Fact tables are typically the largest tables within a data warehouse because they accommodate the majority of the data associated with a database.

    SQL Server provides two methods, Page and Row compression, to reduce data storage on disk and accelerate I/O performance by reducing the amount of I/O required for transaction processing. Page and row compression drudgery in different, yet complementary, ways and are worth further discussion.

    Page compression uses an algorithm called “deduplication.” When deduplicating, as the title implies, SQL Server looks for duplicate values that appear again and again within the data page. For example, the table HumanResources.Employee in the AdventureWorks2012 database contains an nvarchar(50) column called JobTitle. This column contains many duplicate values—things relish “Design Engineer” and Research and evolution Manager.” These values might appear many times on a single data page. Using page compression, SQL Server can remove such duplicate values within a data page by replacing each duplicate value with a tiny pointer to a single appearance of the complete value. (Incidentally, this is known as “dictionary-based compression.”)

    By comparison, row compression does not actually exercise a compression algorithm per se. Instead, when row compression is enabled, SQL Server simply removes any extra, unused bytes in a fixed data ilk column, such as a CHAR(50) column.

    Page and row compression are not compatible, but by enabling page compression SQL Server automatically includes row compression. You can furthermore specify compression per partition, so partitioned tables could endure multiple compression specifications at once.

    Using the Data Compression Wizard to Compress Space

    The Data Compression Wizard can exist used to resolve and compress space associated with a table stored in a stack or clustered index structure. In addition, it can furthermore back compression tables using nonclustered index and index views. Finally, if the table is partitioned, a DBA can compress portions of the tables, and various partitions Do not endure to maintain the selfsame compressed settings.

    The Data Compression Wizard can exist invoked by right-clicking any table or index and selecting Storage and then Manage Compression. The first step is to select the compression ilk based on a partition number, or you can elect to exercise the selfsame compression for every single partitions. The compression options include Row, Page, or None, indicating no compression.

    The next step is to click the device button to review the disk cost savings. The cost savings will exist displayed in the Requested Compressed Space column based on a partition number. This is displayed in device 3.14. The final step includes selecting an output option. It is feasible to create a script, hasten immediately, or schedule the task to commence at a later time.

    Figure 3.14.

    Figure 3.14. Specifying the compression ilk with the Data Compression Wizard.

    Data Compression with Transact SQL

    For those of you who Do not relish using a GUI, the following examples silhouette the default syntax for compressing data with Transact-SQL.

    Creating a Table with Row Compression Enabled CREATE TABLE <Table Name> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = ROW); GO Creating a Table with Page Compression Enabled CREATE TABLE <Table Name> (<Column 1. int, <Column 2> nvarchar(50) ) WITH (DATA_COMPRESSION = PAGE); GO

    The following Transact-SQL syntax illustrates compressing the Sales Order Detail table in the AdventureWorks2012 database by the page compression setting:

    USE [AdventureWorks2012] ALTER TABLE [Sales].[SalesOrderDetail] REBUILD PARTITION = ALL WITH (DATA_COMPRESSION = PAGE )

    You can monitor compression activity with the performance counters Page Compression Attempts/sec and Page Compressed/sec organize in the SQL Server Access Methods Object. For example, this Transact-SQL code will query both counters:

    SELECT cntr_value FROM sys.dm_os_performance_counters WHERE counter_name relish 'Page Compression%'

    As mentioned earlier, compression is included only in the Enterprise Edition of SQL Server. Compression technologies dramatically nick I/O requests and storage; however, the storage gained is typically at the cost of added CPU activity. Therefore, it is strongly advised that you test before implementing data compression in a production workload scenario. In most transaction processing scenarios, SQL Server has CPU to spare and sorely needs more I/O throughput. However, occasionally the improvement to I/O performance is not titanic enough to warrant the lost CPU. Test to ensure that performance is not negatively impacted.


    Transact-SQL : Introduction and Overview | killexams.com actual questions and Pass4sure dumps

    T-SQL or Transact-SQL is a proprietary extension to SQL (Sequential Query Language). The extended features includes: Improved performance, increased functionality and enhanced globalization support.

    sql-server-2012 image

    Transact-SQL is Microsoft SQL Server’s implementation of the language. It is largely SQL-92 compliant, so if you’re familiar with another vendor’s flavor of SQL, you’ll probably feel birthright at home with Transact-SQL. Transact-SQL uses stored procedures to retrieve data or to execute a query on to a database.

    Stored procedures in Transact-SQL

    Stored procedures are executable server-side routines. They give you powerful power and performance benefits if used wisely. Unlike user-defined functions (UDFs), stored procedures are allowed to endure side effects. The judgement for this is you cannot endure transaction within function, whereas, in a procedure, they are allowed to change data in tables, and even alter object definitions. Stored procedures can exist used as a security layer. You can control access to objects by granting execution permissions on stored procedures and not to underlying objects.

    SQL Server 2008 supports different types of stored procedures: User-defined, system, and extended. You can develop user-defined stored procedures with T-SQL or with the CLR.

    The following are some applications that can generate Transact-SQL:

  • General office productivity applications.
  • Applications that exercise a graphical user interface (GUI) to let users select the tables and columns from which they want to descry data..
  • Distributed database systems from which data from SQL Server is replicated to various databases, or distributed queries are executed.
  • Data warehouses in which data is extracted from online transaction processing (OLTP) systems and summarized for decision-support analysis.
  • To warrant more fully, programming in Transact-SQL is a blend of several distinct, yet integrated, components. Let us assume you want to build an application and you start with design and analysis of database as you wanted. And that you’ve built your evolution database using declarative SQL statements or perhaps a visual data modeling tool. You might later want to implement a set of tangled industry rules on your database tables through triggers coded in Transact-SQL. From there, you might create reports and industry processing modules that back the user interface through stored procedures coded in Transact-SQL.

    As mentioned earlier, SQL Server 2008 offers a wide variety of Transact-SQL features that enables developers to create new applications that can store and consume any ilk of data on any device, and enables every single your users to beget informed decisions with material insights. Here are the key features:

  • Initializing variables
  • Compound assignment operators
  • Enhanced transfigure function
  • New date and time data types
  • New date and time functions
  • The MERGE statement
  • Grouping sets
  • Table valued parameters
  • Large user-defined types
  • Table value constructor support
  • The HIERARCHYID data type
  • DDL trigger enhancements
  • Large CLR user-defined aggregates
  • Sparse columns
  • Filtered indexes
  • Multi-input CLR user-defined aggregates
  • The ORDER option for CLR table-valued functions
  • Object dependencies
  • Change data capture
  • Collation alignment
  • Deprecation
  • SQL database is a approved topic these days. With the data becoming more tangled and huge, technologies relish Transact-SQL makes queries more quick and optimized. Understanding and studying these technologies that involve dealing with tangled data warehouses and their mining issues is powerful in its terms. For beginners who endure some lore about DBMS, these are some new concepts that may befriend them to craft their approach better.

    If you looking to explore Transact-SQL completely, I recommend you to grab some books and exercise MSDN for solutions as well.



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