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  • Adding the domain account to a security group on the SQL Server computer that has sufficient privileges to log on as a service

    - by Alberto
    After reading this article, http://www.red-gate.com/supportcenter/content/knowledgebase/SQL_Backup/KB200710000173 I have some problems configuring point 2) and 3): 2) Create a SQL Server login that has the ability to backup (and restore) databases (y) by adding it to the SYSADMIN server role. 3) Add the domain account (x) to a security group on the SQL Server computer that has sufficient privileges to log on as a service, etc. Where can I find detailed instructions on how to accomplish them? Thanks.

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  • How do you enable Remote Connection with SQL Server 2008 w/o Installing Management Studio?

    - by danmine
    I'm having a rather tough time finding information on this since almost everything I read requires Management Studio installed in the server which I prefer not to do. Also, to connect to it using SQL Server Management Studio installed on the client, are these settings ok? ServerName: 10.232.234,1433\SQLEXPRESS Login: sa Password: password Yes, I want to specify the port number in the client side since I have to go through a few firewalls which I have poke holes through to get to the SQL Default port 1433.

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  • Where can I go to learn how to read a sql server execution plan?

    - by Chris Lively
    I'm looking for resources that can teach me how to properly read a sql server execution plan. I'm a long time developer, with tons of sql server experience, but I've never really learned how to really understand what an execution plan is saying to me. I guess I'm looking for links, books, anything that can describe things like whether a clustered index scan is good or bad along with examples on how to fix issues.

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  • When to use an MS SQL instance vs. different database on same instance

    - by BoxerBucks
    We have some MS SQL servers that are setup with different instances on the same server to separate applciation DB's as well as some servers that are setup with all DB's on the same instance, just separated with security settings. When is it advisable to create a new instance for SQL server and install your DB's in that instance as opposed to just creating a new DB on the same instance and putting security around the database itself? Is there more to the decision that just a security aspect?

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  • SQL Server on VMWare - is transaction log corruption possible?

    - by demp
    Scenario: SQL Server 2005 or 2008, Windows 2008 OS. Running in a VM hosted on VMWare ESX server. Is there any known issue with VMWare when it caches pass-through write request and it never reaches the disk, while SQL Server "thinks" that write actually happened? This may lead to transaction log corruption in case of power failure or VM reboot. Just overheard the conversation but couldn't find it in relation to ESX.

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  • During Spring unit test, data written to db but test not seeing the data

    - by richever
    I wrote a test case that extends AbstractTransactionalJUnit4SpringContextTests. The single test case I've written creates an instance of class User and attempts to write it to the database using Hibernate. The test code then uses SimpleJdbcTemplate to execute a simple select count(*) from the user table to determine if the user was persisted to the database or not. The test always fails though. I was suspect because in the Spring controller I wrote, the ability to save an instance of User to the db is successful. So I added the Rollback annotation to the unit test and sure enough, the data is written to the database since I can even see it in the appropriate table -- the transaction isn't rolled back when the test case is finished. Here's my test case: @ContextConfiguration(locations = { "classpath:context-daos.xml", "classpath:context-dataSource.xml", "classpath:context-hibernate.xml"}) public class UserDaoTest extends AbstractTransactionalJUnit4SpringContextTests { @Autowired private UserDao userDao; @Test @Rollback(false) public void teseCreateUser() { try { UserModel user = randomUser(); String username = user.getUserName(); long id = userDao.create(user); String query = "select count(*) from public.usr where usr_name = '%s'"; long count = simpleJdbcTemplate.queryForLong(String.format(query, username)); Assert.assertEquals("User with username should be in the db", 1, count); } catch (Exception e) { e.printStackTrace(); Assert.assertNull("testCreateUser: " + e.getMessage()); } } } I think I was remiss by not adding the configuration files. context-hibernate.xml <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd> <bean id="namingStrategy" class="org.springframework.beans.factory.config.FieldRetrievingFactoryBean"> <property name="staticField"> <value>org.hibernate.cfg.ImprovedNamingStrategy.INSTANCE</value> </property> </bean> <bean id="sessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean" destroy-method="destroy" scope="singleton"> <property name="namingStrategy"> <ref bean="namingStrategy"/> </property> <property name="dataSource" ref="dataSource"/> <property name="mappingResources"> <list> <value>com/company/model/usr.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <props> <prop key="hibernate.dialect">org.hibernate.dialect.PostgreSQLDialect</prop> <prop key="hibernate.show_sql">true</prop> <prop key="hibernate.use_sql_comments">true</prop> <prop key="hibernate.query.substitutions">yes 'Y', no 'N'</prop> <prop key="hibernate.cache.provider_class">org.hibernate.cache.EhCacheProvider</prop> <prop key="hibernate.cache.use_query_cache">true</prop> <prop key="hibernate.cache.use_minimal_puts">false</prop> <prop key="hibernate.cache.use_second_level_cache">true</prop> <prop key="hibernate.current_session_context_class">thread</prop> </props> </property> </bean> <bean id="transactionManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="sessionFactory"/> <property name="nestedTransactionAllowed" value="false" /> </bean> <bean id="transactionInterceptor" class="org.springframework.transaction.interceptor.TransactionInterceptor"> <property name="transactionManager"> <ref local="transactionManager"/> </property> <property name="transactionAttributes"> <props> <prop key="create">PROPAGATION_REQUIRED</prop> <prop key="delete">PROPAGATION_REQUIRED</prop> <prop key="update">PROPAGATION_REQUIRED</prop> <prop key="*">PROPAGATION_SUPPORTS,readOnly</prop> </props> </property> </bean> </beans> context-dataSource.xml <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd"> <bean id="dataSource" class="com.mchange.v2.c3p0.ComboPooledDataSource" destroy-method="close"> <property name="driverClass" value="org.postgresql.Driver" /> <property name="jdbcUrl" value="jdbc\:postgresql\://localhost:5432/company_dev" /> <property name="user" value="postgres" /> <property name="password" value="postgres" /> </bean> </beans> context-daos.xml <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd"> <bean id="extendedFinderNamingStrategy" class="com.company.dao.finder.impl.ExtendedFinderNamingStrategy"/> <bean id="finderIntroductionAdvisor" class="com.company.dao.finder.impl.FinderIntroductionAdvisor"/> <bean id="abstractDaoTarget" class="com.company.dao.impl.GenericDaoHibernateImpl" abstract="true" depends-on="sessionFactory"> <property name="sessionFactory"> <ref bean="sessionFactory"/> </property> <property name="namingStrategy"> <ref bean="extendedFinderNamingStrategy"/> </property> </bean> <bean id="abstractDao" class="org.springframework.aop.framework.ProxyFactoryBean" abstract="true"> <property name="interceptorNames"> <list> <value>transactionInterceptor</value> <value>finderIntroductionAdvisor</value> </list> </property> </bean> <bean id="userDao" parent="abstractDao"> <property name="proxyInterfaces"> <value>com.company.dao.UserDao</value> </property> <property name="target"> <bean parent="abstractDaoTarget"> <constructor-arg> <value>com.company.model.UserModel</value> </constructor-arg> </bean> </property> </bean> </beans> Some of this I've inherited from someone else. I wouldn't have used the proxying that is going on here because I'm not sure it's needed but this is what I'm working with. Any help much appreciated.

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  • Trying to add data to sql from link click and return results via jquery or ajax

    - by Jay Schires
    I am not familiar with jquery or ajax, but i do know it is whats needed to perform the action I want. I have created a wordpress plugin that updates a database table based on the users click. Right now it refreshes the page to return the results, but I want to stop the page refresh and return data via ajax I believe. If anyone is interested in helping me figure this out I would be very appreciative or even willing to pay. Thanks! Here is the plugin code: function BoardLikeItGetDelim($postid) { global $wp_rewrite; if($wp_rewrite->using_permalinks()) { if(isset($_GET['mbpost'])) return "?mbpost=".$postid."&"; return "?"; } else { if(isset($_GET['mbpost'])) return "&mbpost=".$postid."&"; return "&"; } } function AddBoardLikeItButton($postid) { global $user_ID; if(isset($_GET['board-like-it-action']) && $_GET['board-like-it-action'] == "like" && $_GET['bpid'] == $postid) BoardLikeItLike($user_ID, $_GET['bpid']); if(isset($_GET['board-like-it-action']) && $_GET['board-like-it-action'] == "unlike" && $_GET['bpid'] == $postid) BoardLikeItUnLike($user_ID, $_GET['bpid']); $num_likes = BoardLikeItGetNumLikes($postid); if(!BoardLikeItIsLiked($user_ID, $postid)) echo "<HREF LINK='".BoardLikeItGetDelim($postid)."board-like-it-action=like&bpid=".$postid."#mngl-board-post-message-".$postid."'>Like</a> ".$num_likes."" . "<br/>"; else echo "<HREF LINK ='".BoardLikeItGetDelim($postid)."board-like-it-action=unlike&bpid=".$postid."#mngl-board-post-message-".$postid."'>Un-Like</a> " . "<br/><span style='display: inline-block; padding: 0px; bottom: -5px; position: relative; border: 0px;'><IMAGE='". get_bloginfo('wpurl')."/wp-content/plugins/board-like-it/top-up.png' /></span><div style='-moz-border-radius: 4px; -khtml-border-radius: 4px; -webkit-border-radius: 4px; font-family: Verdana, Geneva, sans-serif; font-size: 10px; color: #000; background-color: #B8C9DB; width: 90%; margin: 0px; display: block; padding-top: 4px; padding-right: 5px; padding-bottom: 4px; padding-left: 6px;'>" . "<IMAGE='". get_bloginfo('wpurl')."/wp-content/plugins/board-like-it/thumb_up.png'/> " .BoardLikeItShowLikers($postid). "like this." . "</div>"; } function BoardLikeItShowLikers($postid) { global $wpdb; $result = $wpdb->get_var($wpdb->prepare("SELECT `likers` FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); $results = explode(',', $result); $names = ""; if($results[0] != "") foreach($results as $r) { $userinfo = get_usermeta($r, 'user_login'); $names .= $userinfo.", "; } return $names; } function BoardLikeItGetNumLikes($postid) { global $wpdb; $result = $wpdb->get_var($wpdb->prepare("SELECT `likers` FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); $results = explode(',', $result); if($results[0] != '') return count($results)."<br/><span style='display: inline-block; padding: 0px; bottom: -5px; position: relative; border: 0px;'><IMAGE='". get_bloginfo('wpurl')."/wp-content/plugins/board-like-it/top-up.png' /></span><div style='-moz-border-radius: 4px; -khtml-border-radius: 4px; -webkit-border-radius: 4px; font-family: Verdana, Geneva, sans-serif; font-size: 10px; color: #000; background-color: #B8C9DB; width: 90%; margin: 0px; display: inline-block; border: 0px; padding-top: 0px; padding-right: 5px; padding-bottom: 1px; padding-left: 6px;'>" . "<IMAGE='". get_bloginfo('wpurl')."/wp-content/plugins/board-like-it/thumb_up.png'/> " .BoardLikeItShowLikers($postid). "likes this." . "</div>"; else return ""; } function BoardLikeItLike($user_ID, $postid) { global $wpdb; $likers = array(); $likersnew = array(); $result = $wpdb->get_var($wpdb->prepare("SELECT `likers` FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); $results = explode(',',$result); if($results[0] != "") { if(!in_array($user_ID, $results)) $results[] = $user_ID; $likers = implode(',',$results); $wpdb->query($wpdb->prepare("UPDATE ".BoardLikeItGetDBName()." SET `likers` = '{$likers}' WHERE `mngl_id` = {$postid}")); } else { $likersnew[] = $user_ID; $likersnew = implode(',',$likersnew); $wpdb->query($wpdb->prepare("INSERT INTO ".BoardLikeItGetDBName()." (`mngl_id`, `likers`) VALUES ('{$postid}', '{$likersnew}')")); } } function BoardLikeItUnLike($user_ID, $postid) { global $wpdb; $likers = array(); $result = $wpdb->get_var($wpdb->prepare("SELECT `likers` FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); $results = explode(',', $result); if(in_array($user_ID, $results)) { $results = BoardLikeItRemoveFromArray($results, $user_ID); if(!empty($results)) { $likers = implode(',', $results); $wpdb->query($wpdb->prepare("UPDATE ".BoardLikeItGetDBName()." SET `likers` = '{$likers}' WHERE `mngl_id` = {$postid}")); } else { $wpdb->query($wpdb->prepare("DELETE FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); } } } function BoardLikeItIsLiked($user_ID, $postid) { global $wpdb; $result = $wpdb->get_var($wpdb->prepare("SELECT `likers` FROM ".BoardLikeItGetDBName()." WHERE `mngl_id` = {$postid}")); $results = explode(',', $result); if(in_array($user_ID, $results)) return true; else return false; } function BoardLikeItActivate() { global $wpdb; $charset_collate = ''; if($wpdb->has_cap('collation')) { if(!empty($wpdb->charset)) $charset_collate = "DEFAULT CHARACTER SET $wpdb->charset"; if(!empty($wpdb->collate)) $charset_collate .= " COLLATE $wpdb->collate"; } $table_sql = "CREATE TABLE ".BoardLikeItGetDBName()."( `mngl_id` int(11) NOT NULL, `likers` longtext NOT NULL, PRIMARY KEY (`mngl_id`)) {$charset_collate};"; require_once(ABSPATH.'wp-admin/includes/upgrade.php'); dbDelta($table_sql); } function BoardLikeItGetDBName() { global $wpdb; return $wpdb->prefix."board_like_it"; } function BoardLikeItRemoveFromArray($arr, $key) { $new = array(); foreach($arr as $j => $i) { if($i != $key) $new[] = $i; } return $new; }

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  • Windows 7 Phone Database – Querying with Views and Filters

    - by SeanMcAlinden
    I’ve just added a feature to Rapid Repository to greatly improve how the Windows 7 Phone Database is queried for performance (This is in the trunk not in Release V1.0). The main concept behind it is to create a View Model class which would have only the minimum data you need for a page. This View Model is then stored and retrieved rather than the whole list of entities. Another feature of the views is that they can be pre-filtered to even further improve performance when querying. You can download the source from the Microsoft Codeplex site http://rapidrepository.codeplex.com/. Setting up a view Lets say you have an entity that stores lots of data about a game result for example: GameScore entity public class GameScore : IRapidEntity {     public Guid Id { get; set; }     public string GamerId {get;set;}     public string Name { get; set; }     public Double Score { get; set; }     public Byte[] ThumbnailAvatar { get; set; }     public DateTime DateAdded { get; set; } }   On your page you want to display a list of scores but you only want to display the score and the date added, you create a View Model for displaying just those properties. GameScoreView public class GameScoreView : IRapidView {     public Guid Id { get; set; }     public Double Score { get; set; }     public DateTime DateAdded { get; set; } }   Now you have the view model, the first thing to do is set up the view at application start up. This is done using the following syntax. View Setup public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score }); } As you can see, using a little bit of lambda syntax, you put in the code for constructing a single view, this is used internally for mapping an entity to a view. *Note* you do not need to map the Id property, this is done automatically, a view model id will always be the same as it’s corresponding entity.   Adding Filters One of the cool features of the view is that you can add filters to limit the amount of data stored in the view, this will dramatically improve performance. You can add multiple filters using the fluent syntax if required. In this example, lets say that you will only ever show the scores for the last 10 days, you could add a filter like the following: Add single filter public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score })         .AddFilter(x => x.DateAdded > DateTime.Now.AddDays(-10)); } If you wanted to further limit the data, you could also say only scores above 100: Add multiple filters public MainPage() {     RapidRepository<GameScore>.AddView<GameScoreView>(x => new GameScoreView { DateAdded = x.DateAdded, Score = x.Score })         .AddFilter(x => x.DateAdded > DateTime.Now.AddDays(-10))         .AddFilter(x => x.Score > 100); }   Querying the view model So the important part is how to query the data. This is done using the repository, there is a method called Query which accepts the type of view as a generic parameter (you can have multiple View Model types per entity type) You can either use the result of the query method directly or perform further querying on the result is required. Querying the View public void DisplayScores() {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     List<GameScoreView> scores = repository.Query<GameScoreView>();       // display logic } Further Filtering public void TodaysScores() {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     List<GameScoreView> todaysScores = repository.Query<GameScoreView>().Where(x => x.DateAdded > DateTime.Now.AddDays(-1)).ToList();       // display logic }   Retrieving the actual entity Retrieving the actual entity can be done easily by using the GetById method on the repository. Say for example you allow the user to click on a specific score to get further information, you can use the Id populated in the returned View Model GameScoreView and use it directly on the repository to retrieve the full entity. Get Full Entity public void GetFullEntity(Guid gameScoreViewId) {     RapidRepository<GameScore> repository = new RapidRepository<GameScore>();     GameScore fullEntity = repository.GetById(gameScoreViewId);       // display logic } Synchronising The View If you are upgrading from Rapid Repository V1.0 and are likely to have data in the repository already, you will need to perform a synchronisation to ensure the views and entities are fully in sync. You can either do this as a one off during the application upgrade or if you are a little more cautious, you could run this at each application start up. Synchronise the view public void MyUpgradeTasks() {     RapidRepository<GameScore>.SynchroniseView<GameScoreView>(); } It’s worth noting that in normal operation, the view keeps itself in sync with the entities so this is only really required if you are upgrading from V1.0 to V2.0 when it gets released shortly.   Summary I really hope you like this feature, it will be great for performance and I believe supports good practice by promoting the use of View Models for specific pages. I’m hoping to produce a beta for this over the next few days, I just want to add some more tests and hopefully iron out any bugs. I would really appreciate any thoughts on this feature and would really love to know of any bugs you find. You can download the source from the following : http://rapidrepository.codeplex.com/ Kind Regards, Sean McAlinden.

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  • Understanding and Controlling Parallel Query Processing in SQL Server

    Data warehousing and general reporting applications tend to be CPU intensive because they need to read and process a large number of rows. To facilitate quick data processing for queries that touch a large amount of data, Microsoft SQL Server exploits the power of multiple logical processors to provide parallel query processing operations such as parallel scans. Through extensive testing, we have learned that, for most large queries that are executed in a parallel fashion, SQL Server can deliver linear or nearly linear response time speedup as the number of logical processors increases. However, some queries in high parallelism scenarios perform suboptimally. There are also some parallelism issues that can occur in a multi-user parallel query workload. This white paper describes parallel performance problems you might encounter when you run such queries and workloads, and it explains why these issues occur. In addition, it presents how data warehouse developers can detect these issues, and how they can work around them or mitigate them.

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  • Change Data Capture Webinar

    I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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  • Change Data Capture Webinar

    I am going to be doing a webinar with our friends at Attunity on Change Data Capture.  Attunity have a good story around this technology and you can use it in your SSIS loads to great effect. Join Attunity and Konesans/SQLIS for a Webinar on 17 September Space is limited. Reserve your Webinar seat now at: https://www1.gotomeeting.com/register/693735512 Want increased efficiency and real-time speed when conducting ETL loads? Need lower implementation costs while minimizing system impact? Learn how change data capture (CDC) technologies can reduce ETL load times. Allan Mitchell, Principal Consultant at Konesans and SQLServer MVP specialising in ETL, will explain CDC concepts and benefits and how CDC can dramatically reduce ETL load times. Ian Archibald, Pre-Sales Director EMEA for Attunity, will present and demonstrate Attunity's award-winning Oracle-CDC for SSIS, a fully-integrated SSIS solution for designing, deploying and managing Oracle CDC processes. Title: Change Data Capture - Reducing ETL Load Times Date: Thursday, September 17, 2009 Time: 10:00 AM - 11:00 AM BST ABOUT THE SPEAKERS: Allan Mitchell is the joint owner of Konesans Ltd, a UK based consultancy specializing in SQL Server, and most importantly SQL Server Integration Services. Having been working with SQL Server from 6.5 onwards, he has extensive experience in many aspects of SQL Server, but now focuses on the BI suite of tools. He is a SQL Server MVP, a frequent poster on the MS SSIS/DTS newsgroups, and runs the sqldts.com and sqlis.com resource sites. Ian Archibald, Attunity Pre-Sales Director EMEA, has worked in Attunity’s UK Office for 17 years. An expert in Attunity solutions, Ian has extensive knowledge of Attunity’s products and data integration & CDC technologies. After registering you will receive a confirmation email containing information about joining the Webinar. System Requirements PC-based attendees Required: Windows® 2000, XP Home, XP Pro, 2003 Server, Vista Macintosh®-based attendees Required: Mac OS® X 10.4 (Tiger®) or newer

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  • Microsoft Presss Free E-Book - 12/April/2012 - Introducing Microsoft® SQL Server® 2012

    - by TATWORTH
    At http://shop.oreilly.com/product/0790145342201.do, I have spotted a free e-book "Introducing Microsoft® SQL Server® 2012 ". There is no indication as to how long this will be available for free, so I suggest get it ASAP. It is available in a number of other electronic formats besides PDF."Introducing Microsoft® SQL Server® 2012 explores the exciting enhancements and new capabilities engineered into SQL Server, ranging from improvements in operation to those in reporting and management. This book is for anyone who has an interest in SQL Server 2012 and wants to understand its capabilities, including database administrators, application developers, and technical decision makers."

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  • T-SQL Equivalents for Microsoft Access VBA Functions

    If you need to migrate your Access application to SQL Server, don't count on The SQL Server Upsize Wizard in Microsoft Access to automatically convert your VBA functions. If you want to push the complex query processing done by your Access queries to the back end, you'll have to rewrite them in T-SQL.

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  • LINQ to SQL Profiler

    In this article we will be taking a look at the new LINQ to SQL Profiler from HibernatingRhinos. This tool gives you a view into the goings on of LINQ to SQL. Not only does it allow you to see the SQL that is generated by your LINQ queries but it also shows you information about your connections, queries, as well as alerting you to all sorts of information that you might otherwise not know about.

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  • Converting Openfire IM datetime values in SQL Server to / from VARCHAR(15) and DATETIME data types

    - by Brian Biales
    A client is using Openfire IM for their users, and would like some custom queries to audit user conversations (which are stored by Openfire in tables in the SQL Server database). Because Openfire supports multiple database servers and multiple platforms, the designers chose to store all date/time stamps in the database as 15 character strings, which get converted to Java Date objects in their code (Openfire is written in Java).  I did some digging around, and, so I don't forget and in case someone else will find this useful, I will put the simple algorithms here for converting back and forth between SQL DATETIME and the Java string representation. The Java string representation is the number of milliseconds since 1/1/1970.  SQL Server's DATETIME is actually represented as a float, the value being the number of days since 1/1/1900, the portion after the decimal point representing the hours/minutes/seconds/milliseconds... as a fractional part of a day.  Try this and you will see this is true:     SELECT CAST(0 AS DATETIME) and you will see it returns the date 1/1/1900. The difference in days between SQL Server's 0 date of 1/1/1900 and the Java representation's 0 date of 1/1/1970 is found easily using the following SQL:   SELECT DATEDIFF(D, '1900-01-01', '1970-01-01') which returns 25567.  There are 25567 days between these dates. So to convert from the Java string to SQL Server's date time, we need to convert the number of milliseconds to a floating point representation of the number of days since 1/1/1970, then add the 25567 to change this to the number of days since 1/1/1900.  To convert to days, you need to divide the number by 1000 ms/s, then by  60 seconds/minute, then by 60 minutes/hour, then by 24 hours/day.  Or simply divide by 1000*60*60*24, or 86400000.   So, to summarize, we need to cast this string as a float, divide by 86400000 milliseconds/day, then add 25567 days, and cast the resulting value to a DateTime.  Here is an example:   DECLARE @tmp as VARCHAR(15)   SET @tmp = '1268231722123'   SELECT @tmp as JavaTime, CAST((CAST(@tmp AS FLOAT) / 86400000) + 25567 AS DATETIME) as SQLTime   To convert from SQL datetime back to the Java time format is not quite as simple, I found, because floats of that size do not convert nicely to strings, they end up in scientific notation using the CONVERT function or CAST function.  But I found a couple ways around that problem. You can convert a date to the number of  seconds since 1/1/1970 very easily using the DATEDIFF function, as this value fits in an Int.  If you don't need to worry about the milliseconds, simply cast this integer as a string, and then concatenate '000' at the end, essentially multiplying this number by 1000, and making it milliseconds since 1/1/1970.  If, however, you do care about the milliseconds, you will need to use DATEPART to get the milliseconds part of the date, cast this integer to a string, and then pad zeros on the left to make sure this is three digits, and concatenate these three digits to the number of seconds string above.  And finally, I discovered by casting to DECIMAL(15,0) then to VARCHAR(15), I avoid the scientific notation issue.  So here are all my examples, pick the one you like best... First, here is the simple approach if you don't care about the milliseconds:   DECLARE @tmp as VARCHAR(15)   DECLARE @dt as DATETIME   SET @dt = '2010-03-10 14:35:22.123'   SET @tmp = CAST(DATEDIFF(s, '1970-01-01 00:00:00' , @dt) AS VARCHAR(15)) + '000'   SELECT @tmp as JavaTime, @dt as SQLTime If you want to keep the milliseconds:   DECLARE @tmp as VARCHAR(15)   DECLARE @dt as DATETIME   DECLARE @ms as int   SET @dt = '2010-03-10 14:35:22.123'   SET @ms as DATEPART(ms, @dt)   SET @tmp = CAST(DATEDIFF(s, '1970-01-01 00:00:00' , @dt) AS VARCHAR(15))           + RIGHT('000' + CAST(@ms AS VARCHAR(3)), 3)   SELECT @tmp as JavaTime, @dt as SQLTime Or, in one fell swoop:   DECLARE @dt as DATETIME   SET @dt = '2010-03-10 14:35:22.123'   SELECT @dt as SQLTime     , CAST(DATEDIFF(s, '1970-01-01 00:00:00' , @dt) AS VARCHAR(15))           + RIGHT('000' + CAST( DATEPART(ms, @dt) AS VARCHAR(3)), 3) as JavaTime   And finally, a way to simply reverse the math used converting from Java date to SQL date. Note the parenthesis - watch out for operator precedence, you want to subtract, then multiply:   DECLARE @dt as DATETIME   SET @dt = '2010-03-10 14:35:22.123'   SELECT @dt as SQLTime     , CAST(CAST((CAST(@dt as Float) - 25567.0) * 86400000.0 as DECIMAL(15,0)) as VARCHAR(15)) as JavaTime Interestingly, I found that converting to SQL Date time can lose some accuracy, when I converted the time above to Java time then converted  that back to DateTime, the number of milliseconds is 120, not 123.  As I am not interested in the milliseconds, this is ok for me.  But you may want to look into using DateTime2 in SQL Server 2008 for more accuracy.

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  • SYS2 Scripts Updated – Scripts to monitor database backup, database space usage and memory grants now available

    - by Davide Mauri
    I’ve just released three new scripts of my “sys2” script collection that can be found on CodePlex: Project Page: http://sys2dmvs.codeplex.com/ Source Code Download: http://sys2dmvs.codeplex.com/SourceControl/changeset/view/57732 The three new scripts are the following sys2.database_backup_info.sql sys2.query_memory_grants.sql sys2.stp_get_databases_space_used_info.sql Here’s some more details: database_backup_info This script has been made to quickly check if and when backup was done. It will report the last full, differential and log backup date and time for each database. Along with these information you’ll also get some additional metadata that shows if a database is a read-only database and its recovery model: By default it will check only the last seven days, but you can change this value just specifying how many days back you want to check. To analyze the last seven days, and list only the database with FULL recovery model without a log backup select * from sys2.databases_backup_info(default) where recovery_model = 3 and log_backup = 0 To analyze the last fifteen days, and list only the database with FULL recovery model with a differential backup select * from sys2.databases_backup_info(15) where recovery_model = 3 and diff_backup = 1 I just love this script, I use it every time I need to check that backups are not too old and that t-log backup are correctly scheduled. query_memory_grants This is just a wrapper around sys.dm_exec_query_memory_grants that enriches the default result set with the text of the query for which memory has been granted or is waiting for a memory grant and, optionally, its execution plan stp_get_databases_space_used_info This is a stored procedure that list all the available databases and for each one the overall size, the used space within that size, the maximum size it may reach and the auto grow options. This is another script I use every day in order to be able to monitor, track and forecast database space usage. As usual feedbacks and suggestions are more than welcome!

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  • Fixing my SQL Directory NTFS ACLS

    - by Shawn Cicoria
    I run my development server by boot to VHD (Windows Server 2008 R2 x64).  In that instance, I also have an attached VHD (I attach via script at boot up time using Task Scheduler).  That VHD I have my SQL instances installed. So, the other day, acting hasty, I chmod my ACLS – wow, what a day after that. So, in order to fix it I created this set of BAT commands that resets it back to operational state – not 100% of all what you get, I also didn’t want to run a “repair” – but, all operational again. setlocal SET Inst100Path=H:\Program Files\Microsoft SQL Server\100 REM GOTO SQLE SET InstanceName=MSSQLSERVER SET InstIdPath=H:\Program Files\Microsoft SQL Server\MSSQL10.%InstanceName% SET Group=SQLServerMSSQLUser$SCICORIA-HV1$%InstanceName% SET AgentGroup=SQLServerSQLAgentUser$SCICORIA-HV1$%InstanceName% ICACLS "%InstIdPath%\MSSQL" /T /Q /grant "%Group%":(OI)(CI)FX ICACLS "%InstIdPath%\MSSQL\backup" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\data" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\FTdata" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\Jobs" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\binn" /T /Q /grant "%Group%":(OI)(CI)RX ICACLS "%InstIdPath%\MSSQL\Log" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%Inst100Path%" /T /Q /grant "%Group%":(OI)(CI)RX ICACLS "%Inst100Path%\shared\Errordumps" /T /Q /grant "%Group%":(OI)(CI)RXW ICACLS "%InstIdPath%\MSSQL" /T /Q /grant "%AgentGroup%":(OI)(CI)RX ICACLS "%InstIdPath%\MSSQL\binn" /T /Q /grant "%AgentGroup%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\Log" /T /Q /grant "%AgentGroup%":(OI)(CI)F ICACLS "%Inst100Path%" /T /Q /grant "%AgentGroup%":(OI)(CI)RX REM THIS IS THE SQL EXPRESS INSTANCE :SQLE SET InstanceName=SQLEXPRESS SET InstIdPath=H:\Program Files\Microsoft SQL Server\MSSQL10.%InstanceName% SET Group=SQLServerMSSQLUser$SCICORIA-HV1$%InstanceName% SET AgentGroup=SQLServerSQLAgentUser$SCICORIA-HV1$%InstanceName% ICACLS "%InstIdPath%\MSSQL" /T /Q /grant "%Group%":(OI)(CI)FX ICACLS "%InstIdPath%\MSSQL\backup" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\data" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\FTdata" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\Jobs" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\binn" /T /Q /grant "%Group%":(OI)(CI)RX ICACLS "%InstIdPath%\MSSQL\Log" /T /Q /grant "%Group%":(OI)(CI)F ICACLS "%Inst100Path%" /T /Q /grant "%Group%":(OI)(CI)RX ICACLS "%Inst100Path%\shared\Errordumps" /T /Q /grant "%Group%":(OI)(CI)RXW ICACLS "%InstIdPath%\MSSQL" /T /Q /grant "%AgentGroup%":(OI)(CI)RX ICACLS "%InstIdPath%\MSSQL\binn" /T /Q /grant "%AgentGroup%":(OI)(CI)F ICACLS "%InstIdPath%\MSSQL\Log" /T /Q /grant "%AgentGroup%":(OI)(CI)F ICACLS "%Inst100Path%" /T /Q /grant "%AgentGroup%":(OI)(CI)RX endlocal

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  • July, the 31 Days of SQL Server DMO’s - Intro

    - by Tamarick Hill
    DMO’s burst onto the SQL Server scene in 2005 and when they did they unlocked a wealth of information. I’ve became a major fan of DMO’s as they tend to simplify my troubleshooting as well as provide me with valuable information about what is going on within the SQL Server engine. I would recommend that those of you who are not familiar with DMO’s, take the time to really learn more about them. For those of you who may not be familiar with DMO’s, for the month of July, I will be writing about one DMO per day. Don’t get me wrong, I’m no DMO expert or anything like that, but I’ve worked with them enough to feel that I can give you some good information about DMO’s to help you get started with using them. During these blog sessions, I will not be providing you with any complicated queries to solve all of your SQL Server problems that you may or may not have. I will be simply introducing you to various DMO’s and illustrating what type of information they provide. After you learn more about these individually, then you will be able to join whatever DMO’s you need to pull back the information you are seeking. I hope that you all benefit in some form or fashion from my next 31 DMO postings!!! Enjoy!

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  • The new Auto Scaling Service in Windows Azure

    - by shiju
    One of the key features of the Cloud is the on-demand scalability, which lets the cloud application developers to scale up or scale down the number of compute resources hosted on the Cloud. Auto Scaling provides the capability to dynamically scale up and scale down your compute resources based on user-defined policies, Key Performance Indicators (KPI), health status checks, and schedules, without any manual intervention. Auto Scaling is an important feature to consider when designing and architecting cloud based solutions, which can unleash the real power of Cloud to the apps for providing truly on-demand scalability and can also guard the organizational budget for cloud based application deployment. In the past, you have had to leverage the the Microsoft Enterprise Library Autoscaling Application Block (WASABi) or a services like  MetricsHub for implementing Automatic Scaling for your cloud apps hosted on the Windows Azure. The WASABi required to host your auto scaling block in a Windows Azure Worker Role for effectively implementing the auto scaling behaviour to your Windows Azure apps. The newly announced Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. Unlike WASABi hosted on a Worker Role, you don’t need to host any monitoring service for using the new Auto Scaling service and the Auto Scaling service will be available to individual Windows Azure Compute Services as part of the Scaling. Configure Auto Scaling for a Windows Azure Cloud Service Currently the Auto Scaling service supports Cloud Services, Web Sites and Virtual Machine. In this demo, I will be used a Cloud Services app with a Web Role and a Worker Role. To enable the Auto Scaling, select t your Windows Azure app in the Windows Azure management portal, and choose “SCLALE” tab. The Scale tab will show the all information regards with Auto Scaling. The below image shows that we have currently disabled the AutoScale service. To enable Auto Scaling, you need to choose either CPU or QUEUE. The QUEUE option is not available for Web Sites. The image below demonstrates how to configure Auto Scaling for a Web Role based on the utilization of CPU. We have configured the web role app for running with 1 to 5 Virtual Machine instances based on the CPU utilization with a range of 50 to 80%. If the aggregate utilization is becoming above above 80%, it will scale up instances and it will scale down instances when utilization is becoming below 50%. The image below demonstrates how to configure Auto Scaling for a Worker Role app based on the messages added into the Windows Azure storage Queue. We configured the worker role app for running with 1 to 3 Virtual Machine instances based on the Queue messages added into the Windows Azure storage Queue. Here we have specified the number of messages target per machine is 2000. The image below shows the summary of the Auto Scaling for the Cloud Service after configuring auto scaling service. Summary Auto Scaling is an extremely important behaviour of the Cloud applications for providing on-demand scalability without any manual intervention. Windows Azure provides greater support for enabling Auto Scaling for the apps deployed on the Windows Azure cloud platform. The new Auto Scaling service in Windows Azure lets you add automatic scaling capability to your Windows Azure Compute Services such as Cloud Services, Web Sites and Virtual Machine. In the new Auto Scaling service, you don’t have to host any monitor service like you have had in WASABi block. The Auto Scaling service is an excellent alternative to the manually hosting WASABi block in a Worker Role app.

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