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  • How I pass a delegate prototype to a method?

    - by Jeff Dahmer
    SO lets say in my class I have: public delegate bool MyFunc(int param); How can I then do this someObj.PassMeADelegateToExamine(this.MyFunc); // not possible!?! SO that I can examine the delegate and perhaps use reflection or something idk to find out it's return type and any params it might have? Basically if I can transform it into an (uncallable) Action object that woul dbe grand

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  • How to handle search term concatenations in SOLR

    - by Joost Moesker
    We are currently replacing our product search from mysql to a SOLR backend. Our customer often search for terms like 'startrek online', 'starwars', 'redsteel' or even 'grandtheftauto'. Is there a method in SOLR to either expand or spellcheck these searches into syllables eg.'star trek online', 'star wars', 'red steel', 'grand theft auto'?

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  • Count Total Number of XmlNodes in C#

    - by mjmcloug
    Hey, I'm trying to find a way to get the total number of child nodes from an XmlNode recursively. That it is to say I want to count all the children, grand children etc. I think its something like node.SelectNodes(<fill in here>).Count but I don't know what the XPath is. Thanks

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  • Easyslider not cooperating

    - by SiD
    First time I've used it. had it working but suddenly it's gone. It seems temperamental, sometimes works grand, a refresh then breaks it. It doesn't expand to the full height and screws up the positioning of the image and the corresponding copy. Any help much appreciated. See code here: http://www.bigfootwalk.com/route.html

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  • MAAS nodes stuck on "maas-enlisting-node"

    - by CyberJacob
    I am trying to set up an MAAS cluster, but am having some issues adding nodes. The nodes boot up from the TFTP server on the master server, display a login screen (with the hostname "maas-enlisting-node") and stop. I cannot log in with ubuntu/ubuntu or with my SSH keys. The MAAS server is running DHCP and DNS on the network, and the TFTP boot appears to be loading everything without issues (I can screencap if you want) Any ideas what's going wrong? Thanks!

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  • Content Management for WebCenter Installation Guide

    - by Gary Niu
    Overvew As we known, there are two way to install Content Management for WebCenter. One way is install it by WebCenter installer wizard, another way is to install it use their own installer. This guide is for the later one. For SSO purpose, I also mentioned how to config OID identity store for Content Management for WebCenter. Content Management for WebCenter( 10.1.3.5.1) Oracle Enterprise Linux R5U4 Basic Installation -bash-3.2$ ./setup.sh Please select your locale from the list.           1. Chinese-Simplified           2. Chinese-Traditional           3. Deutsch          *4. English-US           5. English-UK           6. Español           7. Français           8. Italiano           9. Japanese          10. Korean          11. Nederlands          12. Português-Brazil Choice? Throughout the install, when entering a text value, you can press Enter to accept the default that appears between square brackets ([]). When selecting from a list, you can select the choice followed by an asterisk by pressing Enter. Select installation type from the list.         *1. Install new server          2. Update a server Choice? Content Server Installation Directory Please enter the full pathname to the installation directory. Content Server Core Folder [/oracle/ucm/server]:/opt/oracle/ucm/server Create Directory         *1. yes          2. no Choice? Java virtual machine         *1. Sun Java 1.5.0_11 JDK          2. Specify a custom Java virtual machine Choice? Installing with Java version 1.5.0_11. Enter the location of the native file repository. This directory contains the native files checked in by contributors. Content Server Native Vault Folder [/opt/oracle/ucm/server/vault/]: Create Directory         *1. yes          2. no Choice? Enter the location of the web-viewable file repository. This directory contains files that can be accessed through the web server. Content Server Weblayout Folder [/opt/oracle/ucm/server/weblayout/]: Create Directory         *1. yes          2. no Choice? This server can be configured to manage its own authentication or to allow another master to act as an authentication proxy. Configure this server as a master or proxied server.         *1. Configure as a master server.          2. Configure as server proxied by a local master server. Choice? During installation, an admin server can be installed and configured to manage this server. If there is already an admin server on this system, you can have the installer configure it to administrate this server instead. Select admin server configuration.         *1. Install an admin server to manage this server.          2. Configure an existing admin server to manage this server.          3. Don't configure an admin server. Choice? Enter the location of an executable to start your web browser. This browser will be used to display the online help. Web Browser Path [/usr/bin/firefox]: Content Server System locale           1. Chinese-Simplified           2. Chinese-Traditional           3. Deutsch          *4. English-US           5. English-UK           6. Español           7. Français           8. Italiano           9. Japanese          10. Korean          11. Nederlands          12. Português-Brazil Choice? Please select the region for your timezone from the list.         *1. Use the timezone setting for your operating system          2. Pacific          3. America          4. Atlantic          5. Europe          6. Africa          7. Asia          8. Indian          9. Australia Choice? Please enter the port number that will be used to connect to the Content Server. This port must be otherwise unused. Content Server Port [4444]: Please enter the port number that will be used to connect to the Admin Server. This port must be otherwise unused. Admin Server Port [4440]: Enter a security filter for the server port. Hosts which are allowed to communicate directly with the server port may access any resources managed by the server. Insure that hosts which need access are included in the filter. See the installation guide for more details. Incoming connection address filter [127.0.0.1]:*.*.*.* *** Content Server URL Prefix The URL prefix specified here is used when generating HTML pages that refer to the contents of the weblayout directory within the installation. This prefix must be mapped in the web server Additional Document Directories section of the Content Management administration menu to the physical location of the weblayout directory. For example, "/idc/" would be used in your installation to refer to the URL http://ucm.company.com/idc which would be mapped in the web server to the physical location /oracle/ucm/server/weblayout. Web Server Relative Root [/idc/]: Enter the name of the local mail server. The server will contact this system to deliver email. Company Mail Server [mail]: Enter the e-mail address for the system administrator. Administrator E-Mail Address [sysadmin@mail]: *** Web Server Address Many generated HTML pages refer to the web server you are using. The address specified here will be used when generating those pages. The address should include the host and domain name in most cases. If your webserver is running on a port other than 80, append a colon and the port number. Examples: www.company.com, ucm.company.com:90 Web Server HTTP Address [yekki]:yekki.cn.oracle.com:7777 Enter the name for this instance. This name should be unique across your entire enterprise. It may not contain characters other than letters, numbers, and underscores. Server Instance Name [idc]: Enter a short label for this instance. This label is used on web pages to identify this instance. It should be less than 12 characters long. Server Instance Label [idc]: Enter a long description for this instance. Server Description [Content Server idc]: Web Server         *1. Apache          2. Sun ONE          3. Configure manually Choice? Please select a database from the list below to use with the Content Server. Content Server Database         *1. Oracle          2. Microsoft SQL Server 2005          3. Microsoft SQL Server 2000          4. Sybase          5. DB2          6. Custom JDBC settings          7. Skip database configuration Choice? Manually configure JDBC settings for this database          1. yes         *2. no Choice? Oracle Server Hostname [localhost]: Oracle Listener Port Number [1521]: *** Database User ID The user name is used to log into the database used by the content server. Oracle User [user]:YEKKI_OCSERVER *** Database Password The password is used to log into the database used by the content server. Oracle Password []:oracle Oracle Instance Name [ORACLE]:orcl Configure the JVM to find the JDBC driver in a specific jar file          1. yes         *2. no Choice? The installer can attempt to create the database tables or you can manually create them. If you choose to manually create the tables, you should create them now. Attempt to create database tables          1. yes         *2. no Choice? Select components to install.          1. ContentFolios: Collect related items in folios          2. Folders_g: Organize content into hierarchical folders          3. LinkManager8: Hypertext link management support          4. OracleTextSearch: External Oracle 11g database as search indexer support          5. ThreadedDiscussions: Threaded discussion management Enter numbers separated by commas to toggle, 0 to unselect all, F to finish: 1,2,3,4,5         *1. ContentFolios: Collect related items in folios         *2. Folders_g: Organize content into hierarchical folders         *3. LinkManager8: Hypertext link management support         *4. OracleTextSearch: External Oracle 11g database as search indexer support         *5. ThreadedDiscussions: Threaded discussion management Enter numbers separated by commas to toggle, 0 to unselect all, F to finish: F Checking configuration. . . Configuration OK. Review install settings. . . Content Server Core Folder: /opt/oracle/ucm/server Java virtual machine: Sun Java 1.5.0_11 JDK Content Server Native Vault Folder: /opt/oracle/ucm/server/vault/ Content Server Weblayout Folder: /opt/oracle/ucm/server/weblayout/ Proxy authentication through another server: no Install admin server: yes Web Browser Path: /usr/bin/firefox Content Server System locale: English-US Content Server Port: 4444 Admin Server Port: 4440 Incoming connection address filter: *.*.*.* Web Server Relative Root: /idc/ Company Mail Server: mail Administrator E-Mail Address: sysadmin@mail Web Server HTTP Address: yekki.cn.oracle.com:7777 Server Instance Name: idc Server Instance Label: idc Server Description: Content Server idc Web Server: Apache Content Server Database: Oracle Manually configure JDBC settings for this database: false Oracle Server Hostname: localhost Oracle Listener Port Number: 1521 Oracle User: YEKKI_OCSERVER Oracle Password: 6GP1gBgzSyKa4JW10U8UqqPznr/lzkNn/Ojf6M8GJ8I= Oracle Instance Name: orcl Configure the JVM to find the JDBC driver in a specific jar file: false Attempt to create database tables: no Components: ContentFolios,Folders_g,LinkManager8,OracleTextSearch,ThreadedDiscussions Proceed with install         *1. Proceed          2. Change configuration          3. Recheck the configuration          4. Abort installation Choice? Finished install type Install with warnings at 4/2/10 12:32 AM. Run Scripts -bash-3.2$ ./wc_contentserverconfig.sh /opt/oracle/ucm/server /mnt/hgfs/SOFTWARE/ofm_ucm_generic_10.1.3.5.1_disk1_1of1/ContentServer/webcenter-conf Installing '/mnt/hgfs/SOFTWARE/ofm_ucm_generic_10.1.3.5.1_disk1_1of1/ContentServer/webcenter-conf/CS10gR35UpdateBundle.zip' Service 'DELETE_DOC' Extended Service 'DELETE_BYREV_REVISION' Extended Installing '/mnt/hgfs/SOFTWARE/ofm_ucm_generic_10.1.3.5.1_disk1_1of1/ContentServer/webcenter-conf/ContentAccess/ContentAccess-linux.zip' (internal)      04.02 00:40:38.019      main    updateDocMetaDefinitionV11: adding decimal column Installing '/opt/oracle/ucm/server/custom/CS10gR35UpdateBundle/extras/Folders_g.zip' Installing '/opt/oracle/ucm/server/custom/CS10gR35UpdateBundle/extras/FusionLibraries.zip' Installing '/opt/oracle/ucm/server/custom/CS10gR35UpdateBundle/extras/JpsUserProvider.zip' Installing '/mnt/hgfs/SOFTWARE/ofm_ucm_generic_10.1.3.5.1_disk1_1of1/ContentServer/webcenter-conf/WcConfigure.zip' Apr 2, 2010 12:41:24 AM oracle.security.jps.internal.core.util.JpsConfigUtil getPasswordCredential WARNING: A password credential is expected; instead found . Apr 2, 2010 12:41:24 AM oracle.security.jps.internal.idstore.util.IdentityStoreUtil getUnamePwdFromCredStore WARNING: The credential with map JPS and key ldap.credential does not exist. Apr 2, 2010 12:41:27 AM oracle.security.jps.internal.core.util.JpsConfigUtil getPasswordCredential WARNING: A password credential is expected; instead found . Apr 2, 2010 12:41:27 AM oracle.security.jps.internal.idstore.util.IdentityStoreUtil getUnamePwdFromCredStore WARNING: The credential with map JPS and key ldap.credential does not exist. Apr 2, 2010 12:41:28 AM oracle.security.jps.internal.core.util.JpsConfigUtil getPasswordCredential WARNING: A password credential is expected; instead found . Apr 2, 2010 12:41:28 AM oracle.security.jps.internal.idstore.util.IdentityStoreUtil getUnamePwdFromCredStore WARNING: The credential with map JPS and key ldap.credential does not exist. Restart Content Server to apply updates. Configuring Apache Web Server append the following lines at httpd.conf: include "/opt/oracle/ucm/server/data/users/apache22/apache.conf" Configuring the Identity Store( Optional ) 1.  Stop Oracle Content Server and the Admin Server 2.  Update the Oracle Content Server's JPS configuration file, jps-config.xml: a. add a service instance <serviceInstance provider="idstore.ldap.provider" name="idstore.oid"> <property name="subscriber.name" value="dc=cn,dc=oracle,dc=com"></property> <property name="idstore.type" value="OID"></property> <property name="security.principal.key" value="ldap.credential"></property> <property name="security.principal.alias" value="JPS"></property> <property name="ldap.url" value="ldap://yekki.cn.oracle.com:3060"></property> <extendedProperty> <name>user.search.bases</name> <values> <value>cn=users,dc=cn,dc=oracle,dc=com</value> </values> </extendedProperty> <extendedProperty> <name>group.search.bases</name> <values> <value>cn=groups,dc=cn,dc=oracle,dc=com</value> </values> </extendedProperty> <property name="username.attr" value="uid"></property> <property name="user.login.attr" value="uid"></property> <property name="groupname.attr" value="cn"></property> </serviceInstance> b. Ensure that the <jpsContext> entry in the jps-config.xml file refers to the new serviceInstance, that is, idstore.oid and not idstore.ldap: <jpsContext name="default"> <serviceInstanceRef ref="idstore.oid"/> 3. Run the new script to setup the credentials for idstore.oid in the credential store: cd CONTENT_SERVER_HOME/custom/FusionLibraries/tools -bash-3.2$ ./run_credtool.sh Buildfile: ./../tools/credtool.xml     [input] skipping input as property action has already been set.     [input] Alias: [JPS]     [input] Key: [ldap.credential]     [input] User Name: cn=orcladmin     [input] Password: welcome1     [input] JPS Config: [/opt/oracle/ucm/server/custom/FusionLibraries/tools/../../../config/jps-config.xml] manage-creds:      [echo] @@@ Help: run 'ant manage-creds' command to see the detailed usage      [java] Using default context in /opt/oracle/ucm/server/custom/FusionLibraries/tools/../../../config/jps-config.xml file for credential store.      [java] Credential store location : /opt/oracle/ucm/server/config      [java] Credential with map JPS key ldap.credential stored successfully!      [java]      [java]      [java]     Credential for map JPS and key ldap.credential is:      [java]             PasswordCredential name : cn=orcladmin      [java]             PasswordCredential password : welcome1 BUILD SUCCESSFUL Total time: 1 minute 27 seconds Testing 1. acces http://yekki.cn.oracle.com:7777/idc 2. login in with OID user, for example: orcladmin/welcome1 3. make sure your JpsUserProvider status is "good"

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  • como puedo hacer funcionar el subwoofer sonicmaster en mi asus n46vb ubuntu 12.04?

    - by Leonidas Franco Carranza Oliva
    soy nuevo en ubuntu y me compre hace poco el asus n46vb con ubuntu 12.04 y que viene con un subwoofer sonicmaster, pero parece que no esta configurado en el sistema y no lo reconoce cuando lo conecto, estuve leyendo y probé con esto No sound from external subwoofer "Sonic Master" on an Asus N76VM pero no me sirvió ya que hay un archivo que no existe y creo que debe ser por el modelo, en fin si, por favor si me pueden ayudar les estaré muy agradecido.

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  • I’m a dev is this relevant to me?

    - by simonsabin
    I was asked the question today whether the master class that Paul and Kimberley are running next month  (http://www.regonline.co.uk/builder/site/tab1.aspx?EventID=860887 ) is relevant for someone that is a developer. Yes yes yes yes . Consider it like your favourite album, there might be some of the songs that you hate but the rest you love and a couple in particular you will listen to all the time. If you are a developer then you will find that some of the stuff around backs and recovery might...(read more)

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  • Virtual Box - How to open a .VDI Virtual Machine

    - by [email protected]
     How to open a .VDI Virtual MachineSometimes someone share with us one Virtual machine with extension .VDI, after that we can wonder how and what with?Well the answer is... It is a VirtualBox - Virtual Machine. If you have not downloaded it you can do this easily just follow this post.http://listeningoracle.blogspot.com/2010/04/que-es-virtualbox.htmlor http://oracleoforacle.wordpress.com/2010/04/14/ques-es-virtualbox/Ok, Now with VirtualBox Installed open it and proceed with the following:1. Open the Virtual File Manager. 2. Click on Actions ? Add and select the .VDI file Click "Ok"3. Now we can register the new Virtual Machine - Click New, and Click Next4. Write down a Name for the virtual Machine a proceed to select a Operating System and Version. (In this case it is a Linux (Oracle Enterprise Linux or RedHat)Click Next5. Select the memory amount base for the Virtual Machine (Minimal 1280 for our case) - Click Next6. Select the Disk 11GR2_OEL5_32GB.vdi it was added in the virtual media manager in the step 2. Dont forget let selected Boot hard Disk (Primary Master) . Given it is the only disk assigned to the virtual machine.Click Next7. Click Finish8. This step is important. Once you have click on the settings Button.9. On General option click the advanced settings. Here you must change the default directory to save your Snapshots; my recommendation set it to the same directory where the .Vdi file is. Otherwise you can have the same Virtual Machine and its snapshots in different paths.10. Now Click on System, and proceed to assign the correct memory (If you did not before) Note: Enable "Enable IO APIC" if you are planning to assign more than one CPU to the Virtual Machine.Define the processors for the Virtual machine. If you processor is dual core choose 211. Select the video memory amount you want to assign to the Virtual Machine 12. Associated more storage disk to the Virtual machine, if you have more VDI files. (Not our case)The disk must be selected as IDE Primary Master. 13. Well you can verify the other options, but with these changes you will be able to start the VM.Note: Sometime the VM owner may share some instructions, if so follow his instructions.14. Finally Start the Virtual Machine (Click > Start)

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  • SQL SERVER – Shrinking Database is Bad – Increases Fragmentation – Reduces Performance

    - by pinaldave
    Earlier, I had written two articles related to Shrinking Database. I wrote about why Shrinking Database is not good. SQL SERVER – SHRINKDATABASE For Every Database in the SQL Server SQL SERVER – What the Business Says Is Not What the Business Wants I received many comments on Why Database Shrinking is bad. Today we will go over a very interesting example that I have created for the same. Here are the quick steps of the example. Create a test database Create two tables and populate with data Check the size of both the tables Size of database is very low Check the Fragmentation of one table Fragmentation will be very low Truncate another table Check the size of the table Check the fragmentation of the one table Fragmentation will be very low SHRINK Database Check the size of the table Check the fragmentation of the one table Fragmentation will be very HIGH REBUILD index on one table Check the size of the table Size of database is very HIGH Check the fragmentation of the one table Fragmentation will be very low Here is the script for the same. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO Let us check the table size and fragmentation. Now let us TRUNCATE the table and check the size and Fragmentation. USE MASTER GO CREATE DATABASE ShrinkIsBed GO USE ShrinkIsBed GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Create FirstTable CREATE TABLE FirstTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_FirstTable_ID] ON FirstTable ( [ID] ASC ) ON [PRIMARY] GO -- Create SecondTable CREATE TABLE SecondTable (ID INT, FirstName VARCHAR(100), LastName VARCHAR(100), City VARCHAR(100)) GO -- Create Clustered Index on ID CREATE CLUSTERED INDEX [IX_SecondTable_ID] ON SecondTable ( [ID] ASC ) ON [PRIMARY] GO -- Insert One Hundred Thousand Records INSERT INTO FirstTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Insert One Hundred Thousand Records INSERT INTO SecondTable (ID,FirstName,LastName,City) SELECT TOP 100000 ROW_NUMBER() OVER (ORDER BY a.name) RowID, 'Bob', CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%2 = 1 THEN 'Smith' ELSE 'Brown' END, CASE WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 1 THEN 'New York' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 5 THEN 'San Marino' WHEN ROW_NUMBER() OVER (ORDER BY a.name)%10 = 3 THEN 'Los Angeles' ELSE 'Houston' END FROM sys.all_objects a CROSS JOIN sys.all_objects b GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can clearly see that after TRUNCATE, the size of the database is not reduced and it is still the same as before TRUNCATE operation. After the Shrinking database operation, we were able to reduce the size of the database. If you notice the fragmentation, it is considerably high. The major problem with the Shrink operation is that it increases fragmentation of the database to very high value. Higher fragmentation reduces the performance of the database as reading from that particular table becomes very expensive. One of the ways to reduce the fragmentation is to rebuild index on the database. Let us rebuild the index and observe fragmentation and database size. -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REBUILD GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can notice that after rebuilding, Fragmentation reduces to a very low value (almost same to original value); however the database size increases way higher than the original. Before rebuilding, the size of the database was 5 MB, and after rebuilding, it is around 20 MB. Regular rebuilding the index is rebuild in the same user database where the index is placed. This usually increases the size of the database. Look at irony of the Shrinking database. One person shrinks the database to gain space (thinking it will help performance), which leads to increase in fragmentation (reducing performance). To reduce the fragmentation, one rebuilds index, which leads to size of the database to increase way more than the original size of the database (before shrinking). Well, by Shrinking, one did not gain what he was looking for usually. Rebuild indexing is not the best suggestion as that will create database grow again. I have always remembered the excellent post from Paul Randal regarding Shrinking the database is bad. I suggest every one to read that for accuracy and interesting conversation. Let us run following script where we Shrink the database and REORGANIZE. -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Shrink the Database DBCC SHRINKDATABASE (ShrinkIsBed); GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO -- Rebuild Index on FirstTable ALTER INDEX IX_SecondTable_ID ON SecondTable REORGANIZE GO -- Name of the Database and Size SELECT name, (size*8) Size_KB FROM sys.database_files GO -- Check Fragmentations in the database SELECT avg_fragmentation_in_percent, fragment_count FROM sys.dm_db_index_physical_stats (DB_ID(), OBJECT_ID('SecondTable'), NULL, NULL, 'LIMITED') GO You can see that REORGANIZE does not increase the size of the database or remove the fragmentation. Again, I no way suggest that REORGANIZE is the solution over here. This is purely observation using demo. Read the blog post of Paul Randal. Following script will clean up the database -- Clean up USE MASTER GO ALTER DATABASE ShrinkIsBed SET SINGLE_USER WITH ROLLBACK IMMEDIATE GO DROP DATABASE ShrinkIsBed GO There are few valid cases of the Shrinking database as well, but that is not covered in this blog post. We will cover that area some other time in future. Additionally, one can rebuild index in the tempdb as well, and we will also talk about the same in future. Brent has written a good summary blog post as well. Are you Shrinking your database? Well, when are you going to stop Shrinking it? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQLServer, T SQL, Technology

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  • Tellago speaks about Business Intellligence with SQL Server 2008 R2

    - by gsusx
    At Tellago , we always try to stay in the frontlines of technology that can enhance our solution development practices. This year we are putting a lot of emphasis on business intelligence and in particular the new set of BI technologies such as Microsoft's PowerPivot, Master Data Services and StreamInsight that are scheduled to be release with SQL Server 2008 R2. In the last few weeks we have been working closely with different Microsoft field offices to coordinate a series of customers events that...(read more)

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  • Dynamic meta description and keyword tags for your MasterPages

    - by Aamir Hasan
     Today we're going to look at a technique for dynamically inserting meta tags into your master pages. By taking control of the head tag and inserting your own HtmlMeta you can easily customise these tags.Might have noticed that when you create a new master page in visual studio your <head> tag gets decorated with a runat="server" attribute.Asp.net doesn't add this kind of decoration to any other html tags (although you are free to add it if you want). So what makes the head tag special?By adding the runat="server" you're giving actually converting the control into a HtmlHead control. That doesn't particularly matter for this tutorial other than to note that given a reference to the head control you get all the extras that come with asp.net controls such as access to its controls collection.The HtmlMeta control lets us wrap up <meta> tags via asp.net code. To add a meta description we need to create an instance, set the name property, the content property, and then add it to the head: asp.net using (C#)protected void Page_Init(object sender, EventArgs e){  // Add meta description tag  HtmlMeta metaDescription = new HtmlMeta();  metaDescription.Name = "Description";  metaDescription.Content = "Short, unique and keywords rich page description.";  Page.Header.Controls.Add(metaDescription);   // Add meta keywords tag  HtmlMeta metaKeywords = new HtmlMeta();  metaKeywords.Name = "Keywords";  metaKeywords.Content = "selected,page,keywords";  Page.Header.Controls.Add(metaKeywords);}asp.net ( VB.NET )Protected Sub Page_Init(ByVal sender As Object, ByVal e As System.EventArgs) Handles Me.Init  ' Add meta description tag  Dim metaDescription As HtmlMeta = New HtmlMeta()  metaDescription.Name = "Description"  metaDescription.Content = "Short, unique and keywords rich page description."  Page.Header.Controls.Add(metaDescription)   ' Add meta keywords tag  Dim metaKeywords As HtmlMeta = New HtmlMeta()  metaKeywords.Name = "Keywords"  metaKeywords.Content = "selected,page,keywords"  Page.Header.Controls.Add(metaKeywords)End Sub

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  • Advanced TSQL Tuning: Why Internals Knowledge Matters

    - by Paul White
    There is much more to query tuning than reducing logical reads and adding covering nonclustered indexes.  Query tuning is not complete as soon as the query returns results quickly in the development or test environments.  In production, your query will compete for memory, CPU, locks, I/O and other resources on the server.  Today’s entry looks at some tuning considerations that are often overlooked, and shows how deep internals knowledge can help you write better TSQL. As always, we’ll need some example data.  In fact, we are going to use three tables today, each of which is structured like this: Each table has 50,000 rows made up of an INTEGER id column and a padding column containing 3,999 characters in every row.  The only difference between the three tables is in the type of the padding column: the first table uses CHAR(3999), the second uses VARCHAR(MAX), and the third uses the deprecated TEXT type.  A script to create a database with the three tables and load the sample data follows: USE master; GO IF DB_ID('SortTest') IS NOT NULL DROP DATABASE SortTest; GO CREATE DATABASE SortTest COLLATE LATIN1_GENERAL_BIN; GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest', SIZE = 3GB, MAXSIZE = 3GB ); GO ALTER DATABASE SortTest MODIFY FILE ( NAME = 'SortTest_log', SIZE = 256MB, MAXSIZE = 1GB, FILEGROWTH = 128MB ); GO ALTER DATABASE SortTest SET ALLOW_SNAPSHOT_ISOLATION OFF ; ALTER DATABASE SortTest SET AUTO_CLOSE OFF ; ALTER DATABASE SortTest SET AUTO_CREATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_SHRINK OFF ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS ON ; ALTER DATABASE SortTest SET AUTO_UPDATE_STATISTICS_ASYNC ON ; ALTER DATABASE SortTest SET PARAMETERIZATION SIMPLE ; ALTER DATABASE SortTest SET READ_COMMITTED_SNAPSHOT OFF ; ALTER DATABASE SortTest SET MULTI_USER ; ALTER DATABASE SortTest SET RECOVERY SIMPLE ; USE SortTest; GO CREATE TABLE dbo.TestCHAR ( id INTEGER IDENTITY (1,1) NOT NULL, padding CHAR(3999) NOT NULL,   CONSTRAINT [PK dbo.TestCHAR (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestMAX ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAX (id)] PRIMARY KEY CLUSTERED (id), ) ; CREATE TABLE dbo.TestTEXT ( id INTEGER IDENTITY (1,1) NOT NULL, padding TEXT NOT NULL,   CONSTRAINT [PK dbo.TestTEXT (id)] PRIMARY KEY CLUSTERED (id), ) ; -- ============= -- Load TestCHAR (about 3s) -- ============= INSERT INTO dbo.TestCHAR WITH (TABLOCKX) ( padding ) SELECT padding = REPLICATE(CHAR(65 + (Data.n % 26)), 3999) FROM ( SELECT TOP (50000) n = ROW_NUMBER() OVER (ORDER BY (SELECT 0)) - 1 FROM master.sys.columns C1, master.sys.columns C2, master.sys.columns C3 ORDER BY n ASC ) AS Data ORDER BY Data.n ASC ; -- ============ -- Load TestMAX (about 3s) -- ============ INSERT INTO dbo.TestMAX WITH (TABLOCKX) ( padding ) SELECT CONVERT(VARCHAR(MAX), padding) FROM dbo.TestCHAR ORDER BY id ; -- ============= -- Load TestTEXT (about 5s) -- ============= INSERT INTO dbo.TestTEXT WITH (TABLOCKX) ( padding ) SELECT CONVERT(TEXT, padding) FROM dbo.TestCHAR ORDER BY id ; -- ========== -- Space used -- ========== -- EXECUTE sys.sp_spaceused @objname = 'dbo.TestCHAR'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAX'; EXECUTE sys.sp_spaceused @objname = 'dbo.TestTEXT'; ; CHECKPOINT ; That takes around 15 seconds to run, and shows the space allocated to each table in its output: To illustrate the points I want to make today, the example task we are going to set ourselves is to return a random set of 150 rows from each table.  The basic shape of the test query is the same for each of the three test tables: SELECT TOP (150) T.id, T.padding FROM dbo.Test AS T ORDER BY NEWID() OPTION (MAXDOP 1) ; Test 1 – CHAR(3999) Running the template query shown above using the TestCHAR table as the target, we find that the query takes around 5 seconds to return its results.  This seems slow, considering that the table only has 50,000 rows.  Working on the assumption that generating a GUID for each row is a CPU-intensive operation, we might try enabling parallelism to see if that speeds up the response time.  Running the query again (but without the MAXDOP 1 hint) on a machine with eight logical processors, the query now takes 10 seconds to execute – twice as long as when run serially. Rather than attempting further guesses at the cause of the slowness, let’s go back to serial execution and add some monitoring.  The script below monitors STATISTICS IO output and the amount of tempdb used by the test query.  We will also run a Profiler trace to capture any warnings generated during query execution. DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TC.id, TC.padding FROM dbo.TestCHAR AS TC ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; Let’s take a closer look at the statistics and query plan generated from this: Following the flow of the data from right to left, we see the expected 50,000 rows emerging from the Clustered Index Scan, with a total estimated size of around 191MB.  The Compute Scalar adds a column containing a random GUID (generated from the NEWID() function call) for each row.  With this extra column in place, the size of the data arriving at the Sort operator is estimated to be 192MB. Sort is a blocking operator – it has to examine all of the rows on its input before it can produce its first row of output (the last row received might sort first).  This characteristic means that Sort requires a memory grant – memory allocated for the query’s use by SQL Server just before execution starts.  In this case, the Sort is the only memory-consuming operator in the plan, so it has access to the full 243MB (248,696KB) of memory reserved by SQL Server for this query execution. Notice that the memory grant is significantly larger than the expected size of the data to be sorted.  SQL Server uses a number of techniques to speed up sorting, some of which sacrifice size for comparison speed.  Sorts typically require a very large number of comparisons, so this is usually a very effective optimization.  One of the drawbacks is that it is not possible to exactly predict the sort space needed, as it depends on the data itself.  SQL Server takes an educated guess based on data types, sizes, and the number of rows expected, but the algorithm is not perfect. In spite of the large memory grant, the Profiler trace shows a Sort Warning event (indicating that the sort ran out of memory), and the tempdb usage monitor shows that 195MB of tempdb space was used – all of that for system use.  The 195MB represents physical write activity on tempdb, because SQL Server strictly enforces memory grants – a query cannot ‘cheat’ and effectively gain extra memory by spilling to tempdb pages that reside in memory.  Anyway, the key point here is that it takes a while to write 195MB to disk, and this is the main reason that the query takes 5 seconds overall. If you are wondering why using parallelism made the problem worse, consider that eight threads of execution result in eight concurrent partial sorts, each receiving one eighth of the memory grant.  The eight sorts all spilled to tempdb, resulting in inefficiencies as the spilled sorts competed for disk resources.  More importantly, there are specific problems at the point where the eight partial results are combined, but I’ll cover that in a future post. CHAR(3999) Performance Summary: 5 seconds elapsed time 243MB memory grant 195MB tempdb usage 192MB estimated sort set 25,043 logical reads Sort Warning Test 2 – VARCHAR(MAX) We’ll now run exactly the same test (with the additional monitoring) on the table using a VARCHAR(MAX) padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TM.id, TM.padding FROM dbo.TestMAX AS TM ORDER BY NEWID() OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query takes around 8 seconds to complete (3 seconds longer than Test 1).  Notice that the estimated row and data sizes are very slightly larger, and the overall memory grant has also increased very slightly to 245MB.  The most marked difference is in the amount of tempdb space used – this query wrote almost 391MB of sort run data to the physical tempdb file.  Don’t draw any general conclusions about VARCHAR(MAX) versus CHAR from this – I chose the length of the data specifically to expose this edge case.  In most cases, VARCHAR(MAX) performs very similarly to CHAR – I just wanted to make test 2 a bit more exciting. MAX Performance Summary: 8 seconds elapsed time 245MB memory grant 391MB tempdb usage 193MB estimated sort set 25,043 logical reads Sort warning Test 3 – TEXT The same test again, but using the deprecated TEXT data type for the padding column: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) TT.id, TT.padding FROM dbo.TestTEXT AS TT ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; This time the query runs in 500ms.  If you look at the metrics we have been checking so far, it’s not hard to understand why: TEXT Performance Summary: 0.5 seconds elapsed time 9MB memory grant 5MB tempdb usage 5MB estimated sort set 207 logical reads 596 LOB logical reads Sort warning SQL Server’s memory grant algorithm still underestimates the memory needed to perform the sorting operation, but the size of the data to sort is so much smaller (5MB versus 193MB previously) that the spilled sort doesn’t matter very much.  Why is the data size so much smaller?  The query still produces the correct results – including the large amount of data held in the padding column – so what magic is being performed here? TEXT versus MAX Storage The answer lies in how columns of the TEXT data type are stored.  By default, TEXT data is stored off-row in separate LOB pages – which explains why this is the first query we have seen that records LOB logical reads in its STATISTICS IO output.  You may recall from my last post that LOB data leaves an in-row pointer to the separate storage structure holding the LOB data. SQL Server can see that the full LOB value is not required by the query plan until results are returned, so instead of passing the full LOB value down the plan from the Clustered Index Scan, it passes the small in-row structure instead.  SQL Server estimates that each row coming from the scan will be 79 bytes long – 11 bytes for row overhead, 4 bytes for the integer id column, and 64 bytes for the LOB pointer (in fact the pointer is rather smaller – usually 16 bytes – but the details of that don’t really matter right now). OK, so this query is much more efficient because it is sorting a very much smaller data set – SQL Server delays retrieving the LOB data itself until after the Sort starts producing its 150 rows.  The question that normally arises at this point is: Why doesn’t SQL Server use the same trick when the padding column is defined as VARCHAR(MAX)? The answer is connected with the fact that if the actual size of the VARCHAR(MAX) data is 8000 bytes or less, it is usually stored in-row in exactly the same way as for a VARCHAR(8000) column – MAX data only moves off-row into LOB storage when it exceeds 8000 bytes.  The default behaviour of the TEXT type is to be stored off-row by default, unless the ‘text in row’ table option is set suitably and there is room on the page.  There is an analogous (but opposite) setting to control the storage of MAX data – the ‘large value types out of row’ table option.  By enabling this option for a table, MAX data will be stored off-row (in a LOB structure) instead of in-row.  SQL Server Books Online has good coverage of both options in the topic In Row Data. The MAXOOR Table The essential difference, then, is that MAX defaults to in-row storage, and TEXT defaults to off-row (LOB) storage.  You might be thinking that we could get the same benefits seen for the TEXT data type by storing the VARCHAR(MAX) values off row – so let’s look at that option now.  This script creates a fourth table, with the VARCHAR(MAX) data stored off-row in LOB pages: CREATE TABLE dbo.TestMAXOOR ( id INTEGER IDENTITY (1,1) NOT NULL, padding VARCHAR(MAX) NOT NULL,   CONSTRAINT [PK dbo.TestMAXOOR (id)] PRIMARY KEY CLUSTERED (id), ) ; EXECUTE sys.sp_tableoption @TableNamePattern = N'dbo.TestMAXOOR', @OptionName = 'large value types out of row', @OptionValue = 'true' ; SELECT large_value_types_out_of_row FROM sys.tables WHERE [schema_id] = SCHEMA_ID(N'dbo') AND name = N'TestMAXOOR' ; INSERT INTO dbo.TestMAXOOR WITH (TABLOCKX) ( padding ) SELECT SPACE(0) FROM dbo.TestCHAR ORDER BY id ; UPDATE TM WITH (TABLOCK) SET padding.WRITE (TC.padding, NULL, NULL) FROM dbo.TestMAXOOR AS TM JOIN dbo.TestCHAR AS TC ON TC.id = TM.id ; EXECUTE sys.sp_spaceused @objname = 'dbo.TestMAXOOR' ; CHECKPOINT ; Test 4 – MAXOOR We can now re-run our test on the MAXOOR (MAX out of row) table: DECLARE @read BIGINT, @write BIGINT ; SELECT @read = SUM(num_of_bytes_read), @write = SUM(num_of_bytes_written) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; SET STATISTICS IO ON ; SELECT TOP (150) MO.id, MO.padding FROM dbo.TestMAXOOR AS MO ORDER BY NEWID() OPTION (MAXDOP 1, RECOMPILE) ; SET STATISTICS IO OFF ; SELECT tempdb_read_MB = (SUM(num_of_bytes_read) - @read) / 1024. / 1024., tempdb_write_MB = (SUM(num_of_bytes_written) - @write) / 1024. / 1024., internal_use_MB = ( SELECT internal_objects_alloc_page_count / 128.0 FROM sys.dm_db_task_space_usage WHERE session_id = @@SPID ) FROM tempdb.sys.database_files AS DBF JOIN sys.dm_io_virtual_file_stats(2, NULL) AS FS ON FS.file_id = DBF.file_id WHERE DBF.type_desc = 'ROWS' ; TEXT Performance Summary: 0.3 seconds elapsed time 245MB memory grant 0MB tempdb usage 193MB estimated sort set 207 logical reads 446 LOB logical reads No sort warning The query runs very quickly – slightly faster than Test 3, and without spilling the sort to tempdb (there is no sort warning in the trace, and the monitoring query shows zero tempdb usage by this query).  SQL Server is passing the in-row pointer structure down the plan and only looking up the LOB value on the output side of the sort. The Hidden Problem There is still a huge problem with this query though – it requires a 245MB memory grant.  No wonder the sort doesn’t spill to tempdb now – 245MB is about 20 times more memory than this query actually requires to sort 50,000 records containing LOB data pointers.  Notice that the estimated row and data sizes in the plan are the same as in test 2 (where the MAX data was stored in-row). The optimizer assumes that MAX data is stored in-row, regardless of the sp_tableoption setting ‘large value types out of row’.  Why?  Because this option is dynamic – changing it does not immediately force all MAX data in the table in-row or off-row, only when data is added or actually changed.  SQL Server does not keep statistics to show how much MAX or TEXT data is currently in-row, and how much is stored in LOB pages.  This is an annoying limitation, and one which I hope will be addressed in a future version of the product. So why should we worry about this?  Excessive memory grants reduce concurrency and may result in queries waiting on the RESOURCE_SEMAPHORE wait type while they wait for memory they do not need.  245MB is an awful lot of memory, especially on 32-bit versions where memory grants cannot use AWE-mapped memory.  Even on a 64-bit server with plenty of memory, do you really want a single query to consume 0.25GB of memory unnecessarily?  That’s 32,000 8KB pages that might be put to much better use. The Solution The answer is not to use the TEXT data type for the padding column.  That solution happens to have better performance characteristics for this specific query, but it still results in a spilled sort, and it is hard to recommend the use of a data type which is scheduled for removal.  I hope it is clear to you that the fundamental problem here is that SQL Server sorts the whole set arriving at a Sort operator.  Clearly, it is not efficient to sort the whole table in memory just to return 150 rows in a random order. The TEXT example was more efficient because it dramatically reduced the size of the set that needed to be sorted.  We can do the same thing by selecting 150 unique keys from the table at random (sorting by NEWID() for example) and only then retrieving the large padding column values for just the 150 rows we need.  The following script implements that idea for all four tables: SET STATISTICS IO ON ; WITH TestTable AS ( SELECT * FROM dbo.TestCHAR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id = ANY (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAX ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestTEXT ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; WITH TestTable AS ( SELECT * FROM dbo.TestMAXOOR ), TopKeys AS ( SELECT TOP (150) id FROM TestTable ORDER BY NEWID() ) SELECT T1.id, T1.padding FROM TestTable AS T1 WHERE T1.id IN (SELECT id FROM TopKeys) OPTION (MAXDOP 1) ; SET STATISTICS IO OFF ; All four queries now return results in much less than a second, with memory grants between 6 and 12MB, and without spilling to tempdb.  The small remaining inefficiency is in reading the id column values from the clustered primary key index.  As a clustered index, it contains all the in-row data at its leaf.  The CHAR and VARCHAR(MAX) tables store the padding column in-row, so id values are separated by a 3999-character column, plus row overhead.  The TEXT and MAXOOR tables store the padding values off-row, so id values in the clustered index leaf are separated by the much-smaller off-row pointer structure.  This difference is reflected in the number of logical page reads performed by the four queries: Table 'TestCHAR' logical reads 25511 lob logical reads 000 Table 'TestMAX'. logical reads 25511 lob logical reads 000 Table 'TestTEXT' logical reads 00412 lob logical reads 597 Table 'TestMAXOOR' logical reads 00413 lob logical reads 446 We can increase the density of the id values by creating a separate nonclustered index on the id column only.  This is the same key as the clustered index, of course, but the nonclustered index will not include the rest of the in-row column data. CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestCHAR (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAX (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestTEXT (id); CREATE UNIQUE NONCLUSTERED INDEX uq1 ON dbo.TestMAXOOR (id); The four queries can now use the very dense nonclustered index to quickly scan the id values, sort them by NEWID(), select the 150 ids we want, and then look up the padding data.  The logical reads with the new indexes in place are: Table 'TestCHAR' logical reads 835 lob logical reads 0 Table 'TestMAX' logical reads 835 lob logical reads 0 Table 'TestTEXT' logical reads 686 lob logical reads 597 Table 'TestMAXOOR' logical reads 686 lob logical reads 448 With the new index, all four queries use the same query plan (click to enlarge): Performance Summary: 0.3 seconds elapsed time 6MB memory grant 0MB tempdb usage 1MB sort set 835 logical reads (CHAR, MAX) 686 logical reads (TEXT, MAXOOR) 597 LOB logical reads (TEXT) 448 LOB logical reads (MAXOOR) No sort warning I’ll leave it as an exercise for the reader to work out why trying to eliminate the Key Lookup by adding the padding column to the new nonclustered indexes would be a daft idea Conclusion This post is not about tuning queries that access columns containing big strings.  It isn’t about the internal differences between TEXT and MAX data types either.  It isn’t even about the cool use of UPDATE .WRITE used in the MAXOOR table load.  No, this post is about something else: Many developers might not have tuned our starting example query at all – 5 seconds isn’t that bad, and the original query plan looks reasonable at first glance.  Perhaps the NEWID() function would have been blamed for ‘just being slow’ – who knows.  5 seconds isn’t awful – unless your users expect sub-second responses – but using 250MB of memory and writing 200MB to tempdb certainly is!  If ten sessions ran that query at the same time in production that’s 2.5GB of memory usage and 2GB hitting tempdb.  Of course, not all queries can be rewritten to avoid large memory grants and sort spills using the key-lookup technique in this post, but that’s not the point either. The point of this post is that a basic understanding of execution plans is not enough.  Tuning for logical reads and adding covering indexes is not enough.  If you want to produce high-quality, scalable TSQL that won’t get you paged as soon as it hits production, you need a deep understanding of execution plans, and as much accurate, deep knowledge about SQL Server as you can lay your hands on.  The advanced database developer has a wide range of tools to use in writing queries that perform well in a range of circumstances. By the way, the examples in this post were written for SQL Server 2008.  They will run on 2005 and demonstrate the same principles, but you won’t get the same figures I did because 2005 had a rather nasty bug in the Top N Sort operator.  Fair warning: if you do decide to run the scripts on a 2005 instance (particularly the parallel query) do it before you head out for lunch… This post is dedicated to the people of Christchurch, New Zealand. © 2011 Paul White email: @[email protected] twitter: @SQL_Kiwi

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  • Five Things To Which SQL Server Should Say "Goodbye and Good Riddance"

    - by Adam Machanic
    I was tagged by master blogger Aaron Bertrand and asked to identify five things that should be removed from SQL Server. Easy enough, or so I thought... 1) Tempdb . But I should qualify that a bit. Tempdb is absolutely necessary for SQL Server to properly function, but in its current state is easily the number one bottleneck in the majority of SQL Server instances. Many other DBMS vendors abandoned the "monolithic, instance-scoped temporary data space" years ago, yet SQL Server soldiers on, putting...(read more)

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  • How do I use my headphones and microphone?

    - by Pavan Kumar
    Hello, The headphones and microphone on my Ubuntu 10.10 work fine. But when I start an audio conversation using empathy or pidgin, my computer hangs, the microphone doesn't work, and I can't record anything. I have tried sudo alsa force-reload, I have installed pavucontrol, but nothing works. I can't increase the volume of the headphones and master channel using alsamixer though they are unmuted. (Everything works fine in Fedora and Windows XP.) How do I fix this? Thank you.

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  • R Cookbook, de Paul Teetor, critique par ced

    Bonjour, La rédaction de DVP a lu pour vous l'ouvrage suivant: R Cookbook, de Paul Teetor, paru aux éditions O'Reilly. [IMG]http://covers.oreilly.com/images/9780596809164/lrg.jpg[/IMG] Citation: With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of c...

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  • Why is Lisp useful?

    - by Geek
    Lisp obviously is an advantage for the AI stuff but it doesn't appear to me that Lisp is any faster than Java, C#, or even C. I am not a master of Lisp, but I find it incredibly difficult to understand the advantage one would get in writing Business Software in Lisp. Yet it is considered as a hacker's language. Why does Paul Graham advocate Lisp? Why did ITA Software choose Lisp over other high Level languages? What value does it have over these languages?

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  • Why do you like Lisp ?

    - by Geek
    Why does Paul Graham advocate Lisp? Why did ITA Software choose Lisp over other High Level languages? Lisp obviously is an advantage for the AI stuff but I don't think Lisp is any faster than Java, C# or as a matter of fact faster than C. Still it is considered as a Hackers language? I am not a master of Lisp but I find it incredibly difficult to understand the advantage one would get in writing Business Software in Lisp.

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  • Oracle Customer Hub - Directions, Roadmap and Customer Success

    - by Mala Narasimharajan
     By Gurinder Bahl With less than a week from OOW 2012, I would like to introduce you all to the core Oracle Customer MDM Strategy sessions. Fragmentation of customer data across disparate systems prohibits companies from achieving a complete and accurate view of their customers. Oracle Customer Hub provide a comprehensive set of services, utilities and applications to create and maintain a trusted master customer system of record across the enterprise. Customer Hub centralizes customer data from disparate systems across your enterprise into a master repository. Existing systems are integrated in real-time or via batch with the Hub, allowing you to leverage legacy platform investments while capitalizing on the benefits of a single customer identity. Don’t miss out on two sessions geared towards Oracle Customer Hub:   1) Attend session CON9747 - Turn Customer Data into an Enterprise Asset with Oracle Fusion Customer Hub Applications at Oracle Open World 2012 on Monday, Oct 1st, 10:45 AM - 11:45 AM @ Moscone West – 2008. Manouj Tahiliani, Sr. Director MDM Product Management will provide insight into the vision of Oracle Fusion Customer Hub solutions, and review the roadmap. You will discover how Fusion Customer MDM can help your enterprise improve data quality, create accurate and complete customer information,  manage governance and help create great customer experiences. You will also understand how to leverage data quality capabilities and create a sophisticated customer foundation within Oracle Fusion Applications. You will also hear Danette Patterson, Group Lead, Church Pension Group talk about how Oracle Fusion Customer Hub applications provide a modern, next-generation, multi-domain foundation for managing customer information in a private cloud. 2)  Don't miss session  CON9692 - Customer MDM is key to Strategic Business Success and Customer Experience Management at Oracle Open World 2012 on Wednesday, October 3rd 2012 from 3:30-4:30pm @ Westin San Francisco Metropolitan 1. JP Hurtado, Director, Customer Systems, will provide insight on how RCCL overcame challenges of data quality, guest recognition & centralized customer view to provide consolidated customer view to multiple reservation, CRM, marketing, service, sales, data warehouse and loyalty systems. You will learn how Royal Caribbean Cruise Lines (RCCL), which has over 30 million customer and maintain multiple brands, leveraged Oracle Customer Hub (Siebel UCM) as backbone to customer data management strategy for past 5 years. Gurinder Bahl from MDM Product Management will provide an update on Oracle Customer Hub strategy, what we have achieved since last Open World and our future plans for the Oracle Customer Hub. You will learn about Customer Hub Data Quality capabilities around data analysis, cleansing, matching, address validation as well as reporting and monitoring capabilities. The MDM track at Oracle Open World covers variety of topics related to MDM. In addition to the product management team presenting product updates and roadmap, we have several Customer Panels, and Conference sessions. You can see an overview of MDM sessions here.  Looking forward to see you at Open World, the perfect opportunity to learn about cutting edge Oracle technologies. 

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  • CMUS Error: opening audio device: No such device

    - by clamp
    I cant seem to play any audio with CMUS because it always gives the above error the output of lspci -v | grep -A7 -i "audio" gives 00:1b.0 Audio device: Intel Corporation NM10/ICH7 Family High Definition Audio Controller (rev 02) Subsystem: ASRock Incorporation Device c892 Flags: bus master, fast devsel, latency 0, IRQ 49 Memory at dff00000 (64-bit, non-prefetchable) [size=16K] Capabilities: Kernel driver in use: snd_hda_intel 00:1c.0 PCI bridge: Intel Corporation NM10/ICH7 Family PCI Express Port 1 (rev 02) (prog-if 00 [Normal decode]) what could be the problem?

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  • Tellago announces SQL Server 2008 R2 BI quick adoption programs

    - by Vishal
    During the last year, we (Tellago) have been involved in various business intelligence initiatives that leverage some emerging BI techniques such as self-service BI or complex event processing (CEP). Specifically, in the last few months, we have partnered with Microsoft to deliver a series of events across the country where we present the different technologies of the SQL Server 2008 R2 BI stack such as PowerPivot, StreamInsight, Ad-Hoc Reporting and Master Data Services. As part of those events, we try to go beyond the traditional technology presentation and provide a series of best practices and lessons we have learned on real world BI projects that leverage these technologies. Now that SQL Server 2008 R2 has been released to manufacturing, we have launched a series of quick adoption programs that are designed to help customers understand how they can embrace the newest additions to Microsoft's BI stack as part of their IT initiatives. The programs are also designed to help customers understand how the new SQL Server features interact with established technologies such as SQL Server Analysis Services or SQL Server Integration Services. We try to keep these adoption programs very practical by doing a lot of prototyping and design sessions that will give our customers a practical glimpse of the capabilities of the technologies and how they can fit in their enterprise architecture roadmap. Here is our official announcement (you can blame my business partner, BI enthusiast, and Tellago's CEO Elizabeth Redding for the marketing pitch ;)): Tellago Marks Microsoft's SQL Server 2008 R2 Launch With Business Intelligence Quick Adoption Program Microsoft launched SQL Server 2008 R2 last week, which delivers several breakthrough business intelligence (BI) capabilities that enable organizations to:  Efficiently process, analyze and mine data Improve IT and developer efficiency Enable highly scalable and well-managed Business Intelligence on a self-service basis for business users The release offers a new feature called PowerPivot, which enables self service BI through connecting business users directly to enterprise data sources and providing improved reporting and analytics. The release also offers Master Data Management which helps enterprises centrally manage critical data assets company-wide and across diverse systems, enabling increased integrity of information over time. Finally, the release includes StreamInsight, which is a framework for implementing Complex Event Processing (CEP) applications on the Microsoft platform. With StreamInsight, IT organizations can implement the infrastructure to process a large volume of events near real time, execute continuous queries against event streams and enable real time business intelligence. As a thought leader in the Business Intelligence community, Tellago has recognized the occasion by launching a series of quick adoption programs to enable the adoption of this new BI technology stack in your enterprise. Our Quick Adoption programs are designed to help you: Brainstorm BI solution options  Architect initial infrastructure components Prototype key features of a solution As a 2-3 day program, our approach is more efficient and cost effective than a traditional Proof of Concept because it allows you to understand the new SQL Server 2008 R2 feature set  while seeing directly how you can leverage it for your business intelligence needs. If you are interested in learning more about the BI capabilities of Microsoft's Business Intelligence stack, including SQL Server 2008 R2, we can help.  As industry experts and software content advisers to Microsoft, Tellago is the place where ideas meet technology expertise.  Let us help you see for yourself the advantages that you can gain from Microsoft's  SQL Server 2008 R2. Email or call for more information - [email protected] or 847-925-2399.

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  • BAM design pointers

    - by Kavitha Srinivasan
    In working recently with a large Oracle customer on SOA and BAM, I discovered that some BAM best practices are not quite well known as I had always assumed ! There is a doc bug out to formally incorporate those learnings but here are a few notes..  EMS-DO parity When using EMS (Enterprise Message Source) as a BAM feed, the best practice is to use one EMS to write to one Data Object. There is a possibility of collisions and duplicates when multiple EMS write to the same row of a DO at the same time. This customer had 17 EMS writing to one DO at the same time. Every sensor in their BPEL process writes to one topic but the Topic was read by 1 EMS corresponding to one sensor. They then used XSL within BAM to transform the payload into the BAM DO format. And hence for a given BPEL instance, 17 sensors fired, populated 1 JMS topic, was consumed by 17 EMS which in turn wrote to 1 DataObject.(You can image what would happen for later versions of the application that needs to send more information to BAM !).  We modified their design to use one Master XSL based on sensorname for all sensors relating to a DO- say Data Object 'Orders' and were able to thus reduce the 17 EMS to 1 with a master XSL. For those of you wondering about how squeaky clean this design is, you are right ! This is indeed not squeaky clean and that brings us to yet another 'inferred' best practice. (I try very hard not to state the obvious in my blogs with the hope that everytime I blog, it is very useful but this one is an exception.) Transformations and Calculations It is optimal to do transformations within an engine like BPEL. Not only does this provide modelling ease with a nice GUI XSL mapper in JDeveloper, the XSL engine in BPEL is quite efficient at runtime as well. And so, doing XSL transformations in BAM is not quite prudent.  The same is true for any non-trivial calculations as well. It is best to do all transformations,calcuations and sanitize the data in a BPEL or like layer and then send this to BAM (via JMS, WS etc.) This then delegates simply the function of report rendering and mechanics of real-time reporting to the Oracle BAM reporting tool which it is most suited to do. All nulls are not created equal Here is yet another possibly known fact but reiterated here. For an EMS with an Upsert operation: a) If Empty tags or tags with no value are sent like <Tag1/> or <Tag1></Tag1>, the DO will be overwritten with --null-- b) If Empty tags are suppressed ie not generated at all, the corresponding DO field will NOT be overwritten. The field will have whatever value existed previously.  For an EMS with an Insert operation, both tags with an empty value and no tags result in –null-- being written to the DO. Hope this helps .. Happy 4th!

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