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  • SQL Server Management Studio unable to connect to local instance.

    - by Ben Collins
    I'm not a DBA, I'm a developer - and I'm having trouble with SQL Server Management studio. I installed SQL Server 2008 Standard on Windows 2008 Server R2, and according to Sql Server Configuration Manager, I've got two instances: OFFICESERVERS (for sharepoint) and MSSQLSERVER. When I open SQL Server Management Studio I can only discover OFFICESERVERS. I've checked the protocol configuration for both instances and didn't see anything that indicates to me why this would be. Any hints?

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  • how many tables can an MS SQL database hold?

    - by Peter Turner
    I've ran into this cryptic statement for SQL Server: Files Per Database 32,767. What does that mean exactly? Is there a maximum number of tables for a given version of SQL Server. We try to support SQL Server post 2005 32-bit and 64-bit. So if anyone has a handy dandy table they use to figure out how many tables they can have per DB for Microsoft SQL Servers I'd heartily appreciate seeing it.

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  • How can I transfer a SQL Server 2005 license?

    - by jdk
    I have the a wrong license number in one SQL Server. What's gone down is this: We virtualized a physical server, effectively cloning its software and licenses - SQL Server included. We want to repurpose the physical machine by keeping SQL Server and modifying its license to another license key that we have purchased. Would prefer not to reinstall SQL Server. Can it be done?

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  • ASP.NET MVC 2: Updating a Linq-To-Sql Entity with an EntitySet

    - by Simon
    I have a Linq to Sql Entity which has an EntitySet. In my View I display the Entity with it's properties plus an editable list for the child entites. The user can dynamically add and delete those child entities. The DefaultModelBinder works fine so far, it correctly binds the child entites. Now my problem is that I just can't get Linq To Sql to delete the deleted child entities, it will happily add new ones but not delete the deleted ones. I have enabled cascade deleting in the foreign key relationship, and the Linq To Sql designer added the "DeleteOnNull=true" attribute to the foreign key relationships. If I manually delete a child entity like this: myObject.Childs.Remove(child); context.SubmitChanges(); This will delete the child record from the DB. But I can't get it to work for a model binded object. I tried the following: // this does nothing public ActionResult Update(int id, MyObject obj) // obj now has 4 child entities { var obj2 = _repository.GetObj(id); // obj2 has 6 child entities if(TryUpdateModel(obj2)) //it sucessfully updates obj2 and its childs { _repository.SubmitChanges(); // nothing happens, records stay in DB } else ..... return RedirectToAction("List"); } and this throws an InvalidOperationException, I have a german OS so I'm not exactly sure what the error message is in english, but it says something along the lines of that the entity needs a Version (Timestamp row?) or no update check policies. I have set UpdateCheck="Never" to every column except the primary key column. public ActionResult Update(MyObject obj) { _repository.MyObjectTable.Attach(obj, true); _repository.SubmitChanges(); // never gets here, exception at attach } I've read alot about similar "problems" with Linq To Sql, but it seems most of those "problems" are actually by design. So am I right in my assumption that this doesn't work like I expect it to work? Do I really have to manually iterate through the child entities and delete, update and insert them manually? For such a simple object this may work, but I plan to create more complex objects with nested EntitySets and so on. This is just a test to see what works and what not. So far I'm disappointed with Linq To Sql (maybe I just don't get it). Would be the Entity Framework or NHibernate a better choice for this scenario? Or would I run into the same problem?

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  • Why does a user have to enter "Profile" data to enter data into other tables?

    - by Greg McNulty
    EDIT It appears the user has to enter some data for his profile, otherwise I get this error below. I guess if there is no profile data, the user can not continue to enter data in other tables by default? I do not want to make entering user profile data a requirement to use the rest of the sites functionality, how can I get around this? Currently I have been testing everything with the same user and everything has been working fine. However, when I created a new user for the very first time and tried to enter data into my custom table, I get the following error. The INSERT statement conflicted with the FOREIGN KEY constraint "FK_UserData_aspnet_Profile". The conflict occurred in database "C:\ISTATE\APP_DATA\ASPNETDB.MDF", table "dbo.aspnet_Profile", column 'UserId'. The statement has been terminated. Not sure why I am getting this error. I have the user controls set up in ASP.NET 3.5 however all I am using is my own table or at least that I am aware of. I have a custom UserData table that includes the columns: id, UserProfileID, CL, LL, SL, DateTime (id is the auto incremented int) The intent is that all users will add their data in this table and as I mentioned above it has been working fine for my original first user I created. However, when i created a new user I am getting this problem. Here is the code that updates the database. protected void Button1_Click(object sender, EventArgs e) { //connect to database MySqlConnection database = new MySqlConnection(); database.CreateConn(); //create command object Command = new SqlCommand(queryString, database.Connection); //add parameters. used to prevent sql injection Command.Parameters.Add("@UID", SqlDbType.UniqueIdentifier); Command.Parameters["@UID"].Value = Membership.GetUser().ProviderUserKey; Command.Parameters.Add("@CL", SqlDbType.Int); Command.Parameters["@CL"].Value = InCL.Text; Command.Parameters.Add("@LL", SqlDbType.Int); Command.Parameters["@LL"].Value = InLL.Text; Command.Parameters.Add("@SL", SqlDbType.Int); Command.Parameters["@SL"].Value = InSL.Text; Command.ExecuteNonQuery(); } Source Error: Line 84: Command.ExecuteNonQuery();

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  • Why are there connections open to my databases?

    - by Everett
    I have a program that stores user projects as databases. Naturally, the program should allow the user to create and delete the databases as they need to. When the program boots up, it looks for all the databases in a specific SQLServer instance that have the structure the program is expecting. These database are then loaded into a listbox so the user can pick one to open as a project to work on. When I try to delete a database from the program, I always get an SQL error saying that the database is currently open and the operation fails. I've determined that the code that checks for the databases to load is causing the problem. I'm not sure why though, because I'm quite sure that all the connections are being properly closed. Here are all the relevant functions. After calling BuildProjectList, running "DROP DATABASE database_name" from ExecuteSQL fails with the message: "Cannot drop database because it is currently in use". I'm using SQLServer 2005. private SqlConnection databaseConnection; private string connectionString; private ArrayList databases; public ArrayList BuildProjectList() { //databases is an ArrayList of all the databases in an instance if (databases.Count <= 0) { return null; } ArrayList databaseNames = new ArrayList(); for (int i = 0; i < databases.Count; i++) { string db = databases[i].ToString(); connectionString = "Server=localhost\\SQLExpress;Trusted_Connection=True;Database=" + db + ";"; //Check if the database has the table required for the project string sql = "select * from TableExpectedToExist"; if (ExecuteSQL(sql)) { databaseNames.Add(db); } } return databaseNames; } private bool ExecuteSQL(string sql) { bool success = false; openConnection(); SqlCommand cmd = new SqlCommand(sql, databaseConnection); try { cmd.ExecuteNonQuery(); success = true; } catch (SqlException ae) { MessageBox.Show(ae.Message.ToString()); } closeConnection(); return success; } public void openConnection() { databaseConnection = new SqlConnection(connectionString); try { databaseConnection.Open(); } catch(Exception e) { MessageBox.Show(e.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); } } public void closeConnection() { if (databaseConnection != null) { try { databaseConnection.Close(); } catch (Exception e) { MessageBox.Show(e.ToString(), "Error", MessageBoxButtons.OK, MessageBoxIcon.Error); } } }

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • The question about the basics of LINQ to SQL

    - by Alex
    I just started learning LINQ to SQL, and so far I'm impressed with the easy of use and good performance. I used to think that when doing LINQ queries like from Customer in DB.Customers where Customer.Age > 30 select Customer LINQ gets all customers from the database ("SELECT * FROM Customers"), moves them to the Customers array and then makes a search in that Array using .NET methods. This is very inefficient, what if there are hundreds of thousands of customers in the database? Making such big SELECT queries would kill the web application. Now after experiencing how actually fast LINQ to SQL is, I start to suspect that when doing that query I just wrote, LINQ somehow converts it to a SQL Query string SELECT * FROM Customers WHERE Age > 30 And only when necessary it will run the query. So my question is: am I right? And when is the query actually run? The reason why I'm asking is not only because I want to understand how it works in order to build good optimized applications, but because I came across the following problem. I have 2 tables, one of them is Books, the other has information on how many books were sold on certain days. My goal is to select books that had at least 50 sales/day in past 10 days. It's done with this simple query: from Book in DB.Books where (from Sale in DB.Sales where Sale.SalesAmount >= 50 && Sale.DateOfSale >= DateTime.Now.AddDays(-10) select Sale.BookID).Contains(Book.ID) select Book The point is, I have to use the checking part in several queries and I decided to create an array with IDs of all popular books: var popularBooksIDs = from Sale in DB.Sales where Sale.SalesAmount >= 50 && Sale.DateOfSale >= DateTime.Now.AddDays(-10) select Sale.BookID; BUT when I try to do the query now: from Book in DB.Books where popularBooksIDs.Contains(Book.ID) select Book It doesn't work! That's why I think that we can't use thins kinds of shortcuts in LINQ to SQL queries, like we can't use them in real SQL. We have to create straightforward queries, am I right?

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  • Multiple Connection Types for one Designer Generated TableAdapter

    - by Tim
    I have a Windows Forms application with a DataSet (.xsd) that is currently set to connect to a Sql Ce database. Compact Edition is being used so the users can use this application in the field without an internet connection, and then sync their data at day's end. I have been given a new project to create a supplemental web interface for displaying some of the same reports as the Windows Forms application so certain users can obtain reports without installing the Windows app. What I've done so far is create a new Web Project and added it to my current Solution. I have split both the reports (.rdlc) and DataSets out of the Windows Forms project into their own projects so they can be accessed by both the Windows and Web applications. So far, this is working fine. Here's my dilemma: As I said before, the DataSets are currently set up to connect to a local Sql Ce database file. This is correct for the Windows app, but for the Web application I would like to use these same TableAdapters and queries to connect to the Sql Server 2005 database. I have found that the designer generated, strongly-typed TableAdapter classes have a ConnectionModifier property that allows you to make the TableAdapter's Connection public. This exposes the Connection property and allows me to set it, however it is strongly-typed as a SqlCeConnection, whereas I would like to set it to a SqlConnection for my Web project. I'm assuming the DataSet Designer strongly-types the Connection, Command, and DataAdapter objects based on the Provider of the ConnectionString as indicated in the app.config file. Is there any way I can use some generic provider so that the DataSet Designer will use object types that can connect to both a Sql Ce database file AND the actual Sql Server 2005 database? I know that SqlCeConnection and SqlConnection both inherit from DbConnection, which implements IDbConnection. Relatively, the same goes for SqlCeCommand/SqlCommand:DbCommand:IDbCommand. It would be nice if I could just figure out a way for the designer to use the Interface types rather than the strong types, but I'm hesitant that that is possible. I hope my problem and question are clear. Any help is much appreciated. Let me know if there's anything I can clarify.

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  • service broker message process order

    - by Blootac
    Everywhere I read says that messages handled by the service broker are processed in the order that they arrive, and yet if you create a table, message type, contract, service etc , and on activation have a stored proc that waits for 2 seconds and inserts the msg into a table, set the max queue readers to 5 or 10, and send 20 odd messages I can see in the table that they are inserted out of order even though when I insert them into the queue and look at the contents of the queue I can see that the messages are all in the right order. Is it due to the delay waitfor waiting for the nearest second and each thread having different subsecond times and then fighting for a lock or something? The reason i've got a delay in there is to simulate delays with joins etc Thanks demo code: --create the table and service broker CREATE TABLE test ( id int identity(1,1), contents varchar(100) ) CREATE MESSAGE TYPE test CREATE CONTRACT mycontract ( test sent by initiator ) GO CREATE PROCEDURE dostuff AS BEGIN DECLARE @msg varchar(100); RECEIVE TOP (1) @msg = message_body FROM myQueue IF @msg IS NOT NULL BEGIN WAITFOR DELAY '00:00:02' INSERT INTO test(contents)values(@msg) END END GO ALTER QUEUE myQueue WITH STATUS = ON, ACTIVATION ( STATUS = ON, PROCEDURE_NAME = dostuff, MAX_QUEUE_READERS = 10, EXECUTE AS SELF ) create service senderService on queue myQueue ( mycontract ) create service receiverService on queue myQueue ( mycontract ) GO --********************************************************** --now insert lots of messages to the queue DECLARE @dialog_handle uniqueidentifier BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>1</test>'); BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>2</test>') BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>3</test>') BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>4</test>') BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>5</test>') BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>6</test>') BEGIN DIALOG @dialog_handle FROM SERVICE senderService TO SERVICE 'receiverService' ON CONTRACT mycontract; SEND ON CONVERSATION @dialog_handle MESSAGE TYPE test ('<test>7</test>')

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • SQL/Schema comparison and upgrade

    - by Workshop Alex
    I have a simple situation. A large organisation is using several different versions of some (desktop) application and each version has it's own database structure. There are about 200 offices and each office will have it's own version, which can be one of 7 different ones. The company wants to upgrade all applications to the latest versions, which will be version 8. The problem is that they don't have a separate database for each version. Nor do they have a separate database for each office. They have one single database which is handled by a dedicated server, thus keeping things like management and backups easier. Every office has it's own database schema and within the schema there's the whole database structure for their specific application version. As a result, I'm dealing with 200 different schema's which need to be upgraded, each with 7 possible versions. Fortunately, every schema knows the proper version so checking the version isn't difficult. But my problem is that I need to create upgrade scripts which can upgrade from version 1 to version 2 to version 3 to etc... Basically, all schema's need to be bumped up one version until they're all version 8. Writing the code that will do this is no problem. the challenge is how to create the upgrade script from one version to the other? Preferably with some automated tool. I've examined RedGate's SQL Compare and Altova's DatabaseSpy but they're not practical. Altova is way too slow. RedGate requires too much processing afterwards, since the generated SQL Script still has a few errors and it refers to the schema name. Furthermore, the code needs to become part of a stored procedure and the code generated by RedGate doesn't really fit inside a single procedure. (Plus, it's doing too much transaction-handling, while I need everything within a single transaction. I have been considering using another SQL Comparison tool but it seems to me that my case is just too different from what standard tools can deliver. So I'm going to write my own comparison tool. To do this, I'll be using ADOX with Delphi to read the catalogues for every schema version in the database, then use this to write the SQL Statements that will need to upgrade these schema's to their next version. (Comparing 1 with 2, 2 with 3, 3 with 4, etc.) I'm not unfamiliar with generating SQL-Script-Generators so I don't expect too many problems. And I'll only be upgrading the table structures, not any of the other database objects. So, does anyone have some good tips and tricks to apply when doing this kind of comparisons? Things to be aware of? Practical tips to increase speed?

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  • Fluent Nhibernate - how do i specify table schemas when auto generating tables in SQL CE 4

    - by daffers
    I am using SQL CE as a database for running local and CI integration tests (normally our site runs on normal SQL server). We are using Fluent Nhibernate for our mapping and having it create our schema from our Mapclasses. There are only two classes with a one to many relationship between them. In our real database we use a non dbo schema. The code would not work with this real database at first until i added schema names to the Table() methods. However doing this broke the unit tests with the error... System.Data.SqlServerCe.SqlCeException : There was an error parsing the query. [ Token line number = 1,Token line offset = 26,Token in error = User ] These are the classes and associatad MapClasses (simplified of course) public class AffiliateApplicationRecord { public virtual int Id { get; private set; } public virtual string CompanyName { get; set; } public virtual UserRecord KeyContact { get; private set; } public AffiliateApplicationRecord() { DateReceived = DateTime.Now; } public virtual void AddKeyContact(UserRecord keyContactUser) { keyContactUser.Affilates.Add(this); KeyContact = keyContactUser; } } public class AffiliateApplicationRecordMap : ClassMap<AffiliateApplicationRecord> { public AffiliateApplicationRecordMap() { Schema("myschema"); Table("Partner"); Id(x => x.Id).GeneratedBy.Identity(); Map(x => x.CompanyName, "Name"); References(x => x.KeyContact) .Cascade.All() .LazyLoad(Laziness.False) .Column("UserID"); } } public class UserRecord { public UserRecord() { Affilates = new List<AffiliateApplicationRecord>(); } public virtual int Id { get; private set; } public virtual string Forename { get; set; } public virtual IList<AffiliateApplicationRecord> Affilates { get; set; } } public class UserRecordMap : ClassMap<UserRecord> { public UserRecordMap() { Schema("myschema"); Table("[User]");//Square brackets required as user is a reserved word Id(x => x.Id).GeneratedBy.Identity(); Map(x => x.Forename); HasMany(x => x.Affilates); } } And here is the fluent configuraton i am using .... public static ISessionFactory CreateSessionFactory() { return Fluently.Configure() .Database( MsSqlCeConfiguration.Standard .Dialect<MsSqlCe40Dialect>() .ConnectionString(ConnectionString) .DefaultSchema("myschema")) .Mappings(m => m.FluentMappings.AddFromAssembly(typeof(AffiliateApplicationRecord).Assembly)) .ExposeConfiguration(config => new SchemaExport(config).Create(false, true)) .ExposeConfiguration(x => x.SetProperty("connection.release_mode", "on_close")) //This is included to deal with a SQLCE issue http://stackoverflow.com/questions/2361730/assertionfailure-null-identifier-fluentnh-sqlserverce .BuildSessionFactory(); } The documentation on this aspect of fluent is pretty weak so any help would be appreciated

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  • $.fadeTo/fadeOut() operations on Table Rows in IE fail

    - by Rick Strahl
    Here’s a a small problem that one of customers ran into a few days ago: He was playing around with some of the sample code I’ve put out for one of my simple jQuery demos which deals with providing a simple pulse behavior plug-in: $.fn.pulse = function(time) { if (!time) time = 2000; // *** this == jQuery object that contains selections $(this).fadeTo(time, 0.20, function() { $(this).fadeTo(time, 1); }); return this; } it’s a very simplistic plug-in and it works fine for simple pulse animations. However he ran into a problem where it didn’t work when working with tables – specifically pulsing a table row in Internet Explorer. Works fine in FireFox and Chrome, but IE not so much. It also works just fine in IE as long as you don’t try it on tables or table rows specifically. Applying against something like this (an ASP.NET GridView): var sel = $("#gdEntries>tbody>tr") .not(":first-child") // no header .not(":last-child") // no footer .filter(":even") .addClass("gridalternate"); // *** Demonstrate simple plugin sel.pulse(2000); fails in IE. No pulsing happens in any version of IE. After some additional experimentation with single rows and various ways of selecting each and still failing, I’ve come to the conclusion that the various fade operations in jQuery simply won’t work correctly in IE (any version). So even something as ‘elemental’ as this: var el = $("#gdEntries>tbody>tr").get(0);$(el).fadeOut(2000); is not working correctly. The item will stick around for 2 seconds and then magically disappear. Likewise: sel.hide().fadeIn(5000); also doesn’t fade in although the items become immediately visible in IE. Go figure that behavior out. Thanks to a tweet from red_square and a link he provided here is a grid that explains what works and doesn’t in IE (and most last gen browsers) regarding opacity: http://www.quirksmode.org/js/opacity.html It appears from this link that table and row elements can’t be made opaque, but td elements can. This means for the row selections I can force each of the td elements to be selected and then pulse all of those. Once you have the rows it’s easy to explicitly select all the columns in those rows with .find(“td”). Aha the following actually works: var sel = $("#gdEntries>tbody>tr") .not(":first-child") // no header .not(":last-child") // no footer .filter(":even") .addClass("gridalternate"); // *** Demonstrate simple plugin sel.find("td").pulse(2000); A little unintuitive that, but it works. Stay away from <table> and <tr> Fades The moral of the story is – stay away from TR, TH and TABLE fades and opacity. If you have to do it on tables use the columns instead and if necessary use .find(“td”) on your row(s) selector to grab all the columns. I’ve been surprised by this uhm relevation, since I use fadeOut in almost every one of my applications for deletion of items and row deletions from grids are not uncommon especially in older apps. But it turns out that fadeOut actually works in terms of behavior: It removes the item when the timeout’s done and because the fade is relatively short lived and I don’t extensively test IE code any more I just never noticed that the fade wasn’t happening. Note – this behavior or rather lack thereof appears to be specific to table table,tr,th elements. I see no problems with other elements like <div> and <li> items. Chalk this one up to another of IE’s shortcomings. Incidentally I’m not the only one who has failed to address this in my simplistic plug-in: The jquery-ui pulsate effect also fails on the table rows in the same way. sel.effect("pulsate", { times: 3 }, 2000); and it also works with the same workaround. If you’re already using jquery-ui definitely use this version of the plugin which provides a few more options… Bottom line: be careful with table based fade operations and remember that if you do need to fade – fade on columns.© Rick Strahl, West Wind Technologies, 2005-2010Posted in jQuery  

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  • Adding SQL Cache Dependencies to the Loosely coupled .NET Cache Provider

    - by Rhames
    This post adds SQL Cache Dependency support to the loosely coupled .NET Cache Provider that I described in the previous post (http://geekswithblogs.net/Rhames/archive/2012/09/11/loosely-coupled-.net-cache-provider-using-dependency-injection.aspx). The sample code is available on github at https://github.com/RobinHames/CacheProvider.git. Each time we want to apply a cache dependency to a call to fetch or cache a data item we need to supply an instance of the relevant dependency implementation. This suggests an Abstract Factory will be useful to create cache dependencies as needed. We can then use Dependency Injection to inject the factory into the relevant consumer. Castle Windsor provides a typed factory facility that will be utilised to implement the cache dependency abstract factory (see http://docs.castleproject.org/Windsor.Typed-Factory-Facility-interface-based-factories.ashx). Cache Dependency Interfaces First I created a set of cache dependency interfaces in the domain layer, which can be used to pass a cache dependency into the cache provider. ICacheDependency The ICacheDependency interface is simply an empty interface that is used as a parent for the specific cache dependency interfaces. This will allow us to place a generic constraint on the Cache Dependency Factory, and will give us a type that can be passed into the relevant Cache Provider methods. namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheDependency { } }   ISqlCacheDependency.cs The ISqlCacheDependency interface provides specific SQL caching details, such as a Sql Command or a database connection and table. It is the concrete implementation of this interface that will be created by the factory in passed into the Cache Provider. using System; using System.Collections.Generic; using System.Linq; using System.Text;   namespace CacheDiSample.Domain.CacheInterfaces { public interface ISqlCacheDependency : ICacheDependency { ISqlCacheDependency Initialise(string databaseConnectionName, string tableName); ISqlCacheDependency Initialise(System.Data.SqlClient.SqlCommand sqlCommand); } } If we want other types of cache dependencies, such as by key or file, interfaces may be created to support these (the sample code includes an IKeyCacheDependency interface). Modifying ICacheProvider to accept Cache Dependencies Next I modified the exisitng ICacheProvider<T> interface so that cache dependencies may be passed into a Fetch method call. I did this by adding two overloads to the existing Fetch methods, which take an IEnumerable<ICacheDependency> parameter (the IEnumerable allows more than one cache dependency to be included). I also added a method to create cache dependencies. This means that the implementation of the Cache Provider will require a dependency on the Cache Dependency Factory. It is pretty much down to personal choice as to whether this approach is taken, or whether the Cache Dependency Factory is injected directly into the repository or other consumer of Cache Provider. I think, because the cache dependency cannot be used without the Cache Provider, placing the dependency on the factory into the Cache Provider implementation is cleaner. ICacheProvider.cs using System; using System.Collections.Generic;   namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheProvider<T> { T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies);   IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies);   U CreateCacheDependency<U>() where U : ICacheDependency; } }   Cache Dependency Factory Next I created the interface for the Cache Dependency Factory in the domain layer. ICacheDependencyFactory.cs namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheDependencyFactory { T Create<T>() where T : ICacheDependency;   void Release<T>(T cacheDependency) where T : ICacheDependency; } }   I used the ICacheDependency parent interface as a generic constraint on the create and release methods in the factory interface. Now the interfaces are in place, I moved on to the concrete implementations. ISqlCacheDependency Concrete Implementation The concrete implementation of ISqlCacheDependency will need to provide an instance of System.Web.Caching.SqlCacheDependency to the Cache Provider implementation. Unfortunately this class is sealed, so I cannot simply inherit from this. Instead, I created an interface called IAspNetCacheDependency that will provide a Create method to create an instance of the relevant System.Web.Caching Cache Dependency type. This interface is specific to the ASP.NET implementation of the Cache Provider, so it should be defined in the same layer as the concrete implementation of the Cache Provider (the MVC UI layer in the sample code). IAspNetCacheDependency.cs using System.Web.Caching;   namespace CacheDiSample.CacheProviders { public interface IAspNetCacheDependency { CacheDependency CreateAspNetCacheDependency(); } }   Next, I created the concrete implementation of the ISqlCacheDependency interface. This class also implements the IAspNetCacheDependency interface. This concrete implementation also is defined in the same layer as the Cache Provider implementation. AspNetSqlCacheDependency.cs using System.Web.Caching; using CacheDiSample.Domain.CacheInterfaces;   namespace CacheDiSample.CacheProviders { public class AspNetSqlCacheDependency : ISqlCacheDependency, IAspNetCacheDependency { private string databaseConnectionName;   private string tableName;   private System.Data.SqlClient.SqlCommand sqlCommand;   #region ISqlCacheDependency Members   public ISqlCacheDependency Initialise(string databaseConnectionName, string tableName) { this.databaseConnectionName = databaseConnectionName; this.tableName = tableName; return this; }   public ISqlCacheDependency Initialise(System.Data.SqlClient.SqlCommand sqlCommand) { this.sqlCommand = sqlCommand; return this; }   #endregion   #region IAspNetCacheDependency Members   public System.Web.Caching.CacheDependency CreateAspNetCacheDependency() { if (sqlCommand != null) return new SqlCacheDependency(sqlCommand); else return new SqlCacheDependency(databaseConnectionName, tableName); }   #endregion   } }   ICacheProvider Concrete Implementation The ICacheProvider interface is implemented by the CacheProvider class. This implementation is modified to include the changes to the ICacheProvider interface. First I needed to inject the Cache Dependency Factory into the Cache Provider: private ICacheDependencyFactory cacheDependencyFactory;   public CacheProvider(ICacheDependencyFactory cacheDependencyFactory) { if (cacheDependencyFactory == null) throw new ArgumentNullException("cacheDependencyFactory");   this.cacheDependencyFactory = cacheDependencyFactory; }   Next I implemented the CreateCacheDependency method, which simply passes on the create request to the factory: public U CreateCacheDependency<U>() where U : ICacheDependency { return this.cacheDependencyFactory.Create<U>(); }   The signature of the FetchAndCache helper method was modified to take an additional IEnumerable<ICacheDependency> parameter:   private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) and the following code added to create the relevant System.Web.Caching.CacheDependency object for any dependencies and pass them to the HttpContext Cache: CacheDependency aspNetCacheDependencies = null;   if (cacheDependencies != null) { if (cacheDependencies.Count() == 1) // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aspNetCacheDependencies = ((IAspNetCacheDependency)cacheDependencies.ElementAt(0)).CreateAspNetCacheDependency(); else if (cacheDependencies.Count() > 1) { AggregateCacheDependency aggregateCacheDependency = new AggregateCacheDependency(); foreach (ICacheDependency cacheDependency in cacheDependencies) { // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aggregateCacheDependency.Add(((IAspNetCacheDependency)cacheDependency).CreateAspNetCacheDependency()); } aspNetCacheDependencies = aggregateCacheDependency; } }   HttpContext.Current.Cache.Insert(key, value, aspNetCacheDependencies, absoluteExpiry.Value, relativeExpiry.Value);   The full code listing for the modified CacheProvider class is shown below: using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.Caching; using CacheDiSample.Domain.CacheInterfaces;   namespace CacheDiSample.CacheProviders { public class CacheProvider<T> : ICacheProvider<T> { private ICacheDependencyFactory cacheDependencyFactory;   public CacheProvider(ICacheDependencyFactory cacheDependencyFactory) { if (cacheDependencyFactory == null) throw new ArgumentNullException("cacheDependencyFactory");   this.cacheDependencyFactory = cacheDependencyFactory; }   public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) { return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry, null); }   public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry, cacheDependencies); }   public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) { return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry, null); }   public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry, cacheDependencies); }   public U CreateCacheDependency<U>() where U : ICacheDependency { return this.cacheDependencyFactory.Create<U>(); }   #region Helper Methods   private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { U value; if (!TryGetValue<U>(key, out value)) { value = retrieveData(); if (!absoluteExpiry.HasValue) absoluteExpiry = Cache.NoAbsoluteExpiration;   if (!relativeExpiry.HasValue) relativeExpiry = Cache.NoSlidingExpiration;   CacheDependency aspNetCacheDependencies = null;   if (cacheDependencies != null) { if (cacheDependencies.Count() == 1) // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aspNetCacheDependencies = ((IAspNetCacheDependency)cacheDependencies.ElementAt(0)).CreateAspNetCacheDependency(); else if (cacheDependencies.Count() > 1) { AggregateCacheDependency aggregateCacheDependency = new AggregateCacheDependency(); foreach (ICacheDependency cacheDependency in cacheDependencies) { // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aggregateCacheDependency.Add( ((IAspNetCacheDependency)cacheDependency).CreateAspNetCacheDependency()); } aspNetCacheDependencies = aggregateCacheDependency; } }   HttpContext.Current.Cache.Insert(key, value, aspNetCacheDependencies, absoluteExpiry.Value, relativeExpiry.Value);   } return value; }   private bool TryGetValue<U>(string key, out U value) { object cachedValue = HttpContext.Current.Cache.Get(key); if (cachedValue == null) { value = default(U); return false; } else { try { value = (U)cachedValue; return true; } catch { value = default(U); return false; } } }   #endregion } }   Wiring up the DI Container Now the implementations for the Cache Dependency are in place, I wired them up in the existing Windsor CacheInstaller. First I needed to register the implementation of the ISqlCacheDependency interface: container.Register( Component.For<ISqlCacheDependency>() .ImplementedBy<AspNetSqlCacheDependency>() .LifestyleTransient());   Next I registered the Cache Dependency Factory. Notice that I have not implemented the ICacheDependencyFactory interface. Castle Windsor will do this for me by using the Type Factory Facility. I do need to bring the Castle.Facilities.TypedFacility namespace into scope: using Castle.Facilities.TypedFactory;   Then I registered the factory: container.AddFacility<TypedFactoryFacility>();   container.Register( Component.For<ICacheDependencyFactory>() .AsFactory()); The full code for the CacheInstaller class is: using Castle.MicroKernel.Registration; using Castle.MicroKernel.SubSystems.Configuration; using Castle.Windsor; using Castle.Facilities.TypedFactory;   using CacheDiSample.Domain.CacheInterfaces; using CacheDiSample.CacheProviders;   namespace CacheDiSample.WindsorInstallers { public class CacheInstaller : IWindsorInstaller { public void Install(IWindsorContainer container, IConfigurationStore store) { container.Register( Component.For(typeof(ICacheProvider<>)) .ImplementedBy(typeof(CacheProvider<>)) .LifestyleTransient());   container.Register( Component.For<ISqlCacheDependency>() .ImplementedBy<AspNetSqlCacheDependency>() .LifestyleTransient());   container.AddFacility<TypedFactoryFacility>();   container.Register( Component.For<ICacheDependencyFactory>() .AsFactory()); } } }   Configuring the ASP.NET SQL Cache Dependency There are a couple of configuration steps required to enable SQL Cache Dependency for the application and database. From the Visual Studio Command Prompt, the following commands should be used to enable the Cache Polling of the relevant database tables: aspnet_regsql -S <servername> -E -d <databasename> –ed aspnet_regsql -S <servername> -E -d CacheSample –et –t <tablename>   (The –t option should be repeated for each table that is to be made available for cache dependencies). Finally the SQL Cache Polling needs to be enabled by adding the following configuration to the <system.web> section of web.config: <caching> <sqlCacheDependency pollTime="10000" enabled="true"> <databases> <add name="BloggingContext" connectionStringName="BloggingContext"/> </databases> </sqlCacheDependency> </caching>   (obviously the name and connection string name should be altered as required). Using a SQL Cache Dependency Now all the coding is complete. To specify a SQL Cache Dependency, I can modify my BlogRepositoryWithCaching decorator class (see the earlier post) as follows: public IList<Blog> GetAll() { var sqlCacheDependency = cacheProvider.CreateCacheDependency<ISqlCacheDependency>() .Initialise("BloggingContext", "Blogs");   ICacheDependency[] cacheDependencies = new ICacheDependency[] { sqlCacheDependency };   string key = string.Format("CacheDiSample.DataAccess.GetAll");   return cacheProvider.Fetch(key, () => { return parentBlogRepository.GetAll(); }, null, null, cacheDependencies) .ToList(); }   This will add a dependency of the “Blogs” table in the database. The data will remain in the cache until the contents of this table change, then the cache item will be invalidated, and the next call to the GetAll() repository method will be routed to the parent repository to refresh the data from the database.

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  • Columnstore Case Study #2: Columnstore faster than SSAS Cube at DevCon Security

    - by aspiringgeek
    Preamble This is the second in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in my big deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. See also Columnstore Case Study #1: MSIT SONAR Aggregations Why Columnstore? As stated previously, If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. The Customer DevCon Security provides home & business security services & has been in business for 135 years. I met DevCon personnel while speaking to the Utah County SQL User Group on 20 February 2012. (Thanks to TJ Belt (b|@tjaybelt) & Ben Miller (b|@DBADuck) for the invitation which serendipitously coincided with the height of ski season.) The App: DevCon Security Reporting: Optimized & Ad Hoc Queries DevCon users interrogate a SQL Server 2012 Analysis Services cube via SSRS. In addition, the SQL Server 2012 relational back end is the target of ad hoc queries; this DW back end is refreshed nightly during a brief maintenance window via conventional table partition switching. SSRS, SSAS, & MDX Conventional relational structures were unable to provide adequate performance for user interaction for the SSRS reports. An SSAS solution was implemented requiring personnel to ramp up technically, including learning enough MDX to satisfy requirements. Ad Hoc Queries Even though the fact table is relatively small—only 22 million rows & 33GB—the table was a typical DW table in terms of its width: 137 columns, any of which could be the target of ad hoc interrogation. As is common in DW reporting scenarios such as this, it is often nearly to optimize for such queries using conventional indexing. DevCon DBAs & developers attended PASS 2012 & were introduced to the marvels of columnstore in a session presented by Klaus Aschenbrenner (b|@Aschenbrenner) The Details Classic vs. columnstore before-&-after metrics are impressive. Scenario Conventional Structures Columnstore ? SSRS via SSAS 10 - 12 seconds 1 second >10x Ad Hoc 5-7 minutes (300 - 420 seconds) 1 - 2 seconds >100x Here are two charts characterizing this data graphically.  The first is a linear representation of Report Duration (in seconds) for Conventional Structures vs. Columnstore Indexes.  As is so often the case when we chart such significant deltas, the linear scale doesn’t expose some the dramatically improved values corresponding to the columnstore metrics.  Just to make it fair here’s the same data represented logarithmically; yet even here the values corresponding to 1 –2 seconds aren’t visible.  The Wins Performance: Even prior to columnstore implementation, at 10 - 12 seconds canned report performance against the SSAS cube was tolerable. Yet the 1 second performance afterward is clearly better. As significant as that is, imagine the user experience re: ad hoc interrogation. The difference between several minutes vs. one or two seconds is a game changer, literally changing the way users interact with their data—no mental context switching, no wondering when the results will appear, no preoccupation with the spinning mind-numbing hurry-up-&-wait indicators.  As we’ve commonly found elsewhere, columnstore indexes here provided performance improvements of one, two, or more orders of magnitude. Simplified Infrastructure: Because in this case a nonclustered columnstore index on a conventional DW table was faster than an Analysis Services cube, the entire SSAS infrastructure was rendered superfluous & was retired. PASS Rocks: Once again, the value of attending PASS is proven out. The trip to Charlotte combined with eager & enquiring minds let directly to this success story. Find out more about the next PASS Summit here, hosted this year in Seattle on November 4 - 7, 2014. DevCon BI Team Lead Nathan Allan provided this unsolicited feedback: “What we found was pretty awesome. It has been a game changer for us in terms of the flexibility we can offer people that would like to get to the data in different ways.” Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the second in a series of reports on columnstore implementations, results from DevCon Security, a live customer production app for which performance increased by factors of from 10x to 100x for all report queries, including canned queries as well as reducing time for results for ad hoc queries from 5 - 7 minutes to 1 - 2 seconds. As a result of columnstore performance, the customer retired their SSAS infrastructure. I invite you to consider leveraging columnstore in your own environment. Let me know if you have any questions.

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  • SQL Triggers and when or when not to use them.

    - by John Mitchell
    When I was originally learning about SQL I was always told, only use triggers if you really need to and opt to use stored procedures instead if possible. Now unfortunately at the time (a good few years ago) I wasn't as curious and caring about fundamentals as I am now so never did ask to the reason why. What's the communities opinion in this? Is it just someone's personal preference, or should triggers be avoided (just like cursors) unless there is a good reason for them.

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  • Is there a recommended approach for using SQL Server as an Authorization store and extending AD properties using .Net? [closed]

    - by Jim
    We are going to be using SQL Server as an authorization store for our .Net windows services and WCF services as well as storing additional metadata about users and groups to extend the AD properties. Doing this will make this self service and not require IT to change anything for our department (for users or groups). What if any are the existing recommended stategies or technologies that do this function?

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  • How to add SQLite (SQLite.NET) to my C# project

    - by Lirik
    I followed the instructions in the documentation: Scenario 1: Version Independent (does not use the Global Assembly Cache) This method allows you to drop any new version of the System.Data.SQLite.DLL into your application's folder and use it without any code modifications or recompiling. Add the following code to your app.config file: <configuration> <system.data> <DbProviderFactories> <remove invariant="System.Data.SQLite"/> <add name="SQLite Data Provider" invariant="System.Data.SQLite" description=".Net Framework Data Provider for SQLite" type="System.Data.SQLite.SQLiteFactory, System.Data.SQLite" /> </DbProviderFactories> </system.data> </configuration> My app.config file now looks like this: <?xml version="1.0" encoding="utf-8" ?> <configuration> <configSections> <sectionGroup name="userSettings" type="System.Configuration.UserSettingsGroup, System, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" > <section name="DataFeed.DataFeedSettings" type="System.Configuration.ClientSettingsSection, System, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089" allowExeDefinition="MachineToLocalUser" requirePermission="false" /> </sectionGroup> </configSections> <userSettings> <DataFeed.DataFeedSettings> <setting name="eodData" serializeAs="String"> <value>False</value> </setting> </DataFeed.DataFeedSettings> </userSettings> <system.data> <DbProviderFactories> <remove invariant="System.Data.SQLite"/> <add name="SQLite Data Provider" invariant="System.Data.SQLite" description=".Net Framework Data Provider for SQLite" type="System.Data.SQLite.SQLiteFactory, System.Data.SQLite" /> </DbProviderFactories> </system.data> </configuration> My project is called "DataFeed": using System; using System.Collections.Generic; using System.Linq; using System.Text; using System.Data.SQLite; //<-- Causes compiler error namespace DataFeed { class Program { static void Main(string[] args) { } } } The error I get is: .\dev\DataFeed\Program.cs(5,19): error CS0234: The type or namespace name 'SQLite' does not exist in the namespace 'System.Data' (are you missing an assembly reference?) I'm not using the GAC, I simply dropped the System.Data.SQLite.dll into my .\dev\DataFeed\ folder. I thought that all I needed to do is add the DLL to the project folder as it was mentioned in the documentation. Any hints on how to actually make this work?

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  • Can't step into stored procedure on remote SQL Server 2008

    - by abatishchev
    I have a domain installed on virtual Windows Server 2008 x64. SQL Server 2008 Express x64 is running in Windows Server 2008 x64 and client on Windows 7 RTM x86. Both are into the domain. I'm starting both Visual Studio 2008 and SQL Server Management Studio 2008 under domain admin user. This account is a member of group sysadmin on SQL Server. Server has firewall exceptions for both TCP and UDP on ports 135-139 and 1433-1434. Visual Studio 2008 Remote debugger services is started on server and Domain Admins group is allowed to debug, When I'm starting debugging of a query in SMS I'm getting this error: Failed to start debugger Error HRESULT E_FAIL has been returned from a call to a COM component. (mscorlib) Program Location: at System.Runtime.InteropServices.Marshal.ThrowExceptionForHRInternal(Int32 errorCode, IntPtr errorInfo) at Microsoft.SqlServer.Management.UI.VSIntegration.DebugSession.DebugCallbacks.OnSqlInitializeDebuggingEvent(ISqlInitializeDebuggingEvent sqlInitializeDebuggingEvent) at Microsoft.SqlServer.Management.UI.VSIntegration.DebugSession.DebugCallbacks.Microsoft.VisualStudio.Debugger.Interop.IDebugEventCallback2.Event(IDebugEngine2 debugEngine, IDebugProcess2 debugProcess, IDebugProgram2 debugProgram, IDebugThread2 debugThread, IDebugEvent2 debugEvent, Guid& riidEvent, UInt32 attribute) and Unable to access the SQL Server debugging interface. The Visual Studio debugger cannot connect to the remote computer. A firewall may be preventing communication via DCOM to the remote computer. Please see Help for assistance. and Unable to start program MSSSQL://server.mydomain.local/master/sys/=0 And when stepping-in into a stored procedure using VS I'm getting the first one and this: Exception from HRESULT: 0x89710016 What have I do?

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  • How to Link VS2010 Database Project and LINQ to SQL

    - by Jason
    As I am working with the new database projects in VS2010, and as I am learning LINQ to SQL, I am curious as to the best way to link the two groups of information so that when I update one, the other updates along with it. From my research here at SO, as well as in Google, it appears the general rule of thumb is: "Build the database, and then create your LINQ to SQL classes." Of course, if I make a change in my database, the LINQ to SQL doesn't update automatically and I have to do it by hand. This is fairly simple right now as my database is small, but I am curious if there is an easier way for this to happen. In addition, the LINQ to SQL tool is pretty nice. The ability to create tables, add associations, and even create inheritance is very simple. As my second question, I am curious as to whether or not VS2010 can work the other way - I design the database in the DBLM file and then link it back to my database project. I appreciate any help with either of these two questions. I'm really interested in making this as easy as possible to reduce errors during development and improve the speed at which changes can be made.

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  • SQL Server Management Studio – tips for improving the TSQL coding process

    - by kristof
    I used to work in a place where a common practice was to use Pair Programming. I remember how many small things we could learn from each other when working together on the code. Picking up new shortcuts, code snippets etc. with time significantly improved our efficiency of writing code. Since I started working with SQL Server I have been left on my own. The best habits I would normally pick from working together with other people which I cannot do now. So here is the question: What are you tips on efficiently writing TSQL code using SQL Server Management Studio? Please keep the tips to 2 – 3 things/shortcuts that you think improve you speed of coding Please stay within the scope of TSQL and SQL Server Management Studio 2005/2008 If the feature is specific to the version of Management Studio please indicate: e.g. “Works with SQL Server 2008 only" Thanks EDIT: I am afraid that I could have been misunderstood by some of you. I am not looking for tips for writing efficient TSQL code but rather for advice on how to efficiently use Management Studio to speed up the coding process itself. The type of answers that I am looking for are: use of templates, keyboard-shortcuts, use of IntelliSense plugins etc. Basically those little things that make the coding experience a bit more efficient and pleasant. Thanks again

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  • Cannot connect to a SQL Server 2005 Analysis Services cube after installing SQL Server 2008 SP1.

    - by Luc
    I've been developing an application that talks directly to an SSAS 2005 OLAP cube. Note that I also have SQL Server 2008 installed, so the other day I did a Windows Update and decided to include SQL Server 2008 SP1 in my update. After doing that, my SSAS 2005 cube is no longer accessible from my application. I'm able to browse the data just fine within SQL Server 2005 BI Studio Manager, but I'm not able to connect to the cube from my application. Here is my connection string that used to work: Data Source=localhost;Provider=msolap;Initial Catalog=Adventure Works DW Here is the error message I get: Either the user, [Server]/[User], does not have access to the Adventure Works DW database, or the database does not exist. Here is the beginning of my stack trace if it would help: Microsoft.AnalysisServices.AdomdClient.AdomdErrorResponseException was unhandled by user code HelpLink="" Message="Either the user, Luc-PC\\Luc, does not have access to the Adventure Works DW database, or the database does not exist." Source="Microsoft SQL Server 2005 Analysis Services" ErrorCode=-1055391743 StackTrace: at Microsoft.AnalysisServices.AdomdClient.AdomdConnection.XmlaClientProvider.Microsoft.AnalysisServices.AdomdClient.IDiscoverProvider.Discover(String requestType, IDictionary restrictions, DataTable table) at Microsoft.AnalysisServices.AdomdClient.ObjectMetadataCache.Discover(AdomdConnection connection, String requestType, ListDictionary restrictions, DataTable destinationTable, Boolean doCreate) at Microsoft.AnalysisServices.AdomdClient.ObjectMetadataCache.PopulateSelf() at Microsoft.AnalysisServices.AdomdClient.ObjectMetadataCache.Microsoft.AnalysisServices.AdomdClient.IObjectCache.Populate() at Microsoft.AnalysisServices.AdomdClient.CacheBasedNotFilteredCollection.PopulateCollection() at Microsoft.AnalysisServices.AdomdClient.CacheBasedNotFilteredCollection.get_Count() at Microsoft.AnalysisServices.AdomdClient.CubesEnumerator.MoveNext() at Microsoft.AnalysisServices.AdomdClient.CubeCollection.Enumerator.MoveNext() at blah blah... I've looked for a solution for the last 4+ hours and haven't had any success. Thanks in advance for any help. Luc

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  • Linq filtering an IQueryable<T> (System.Data.Linq.DataQuery) object by a List<T> (System.Collection.

    - by Klaptrap
    My IQueryable line is: // find all timesheets for this period - from db so System.Data.Linq.DataQuery var timesheets = _timesheetRepository.FindByPeriod(dte1, dte2); My List line is: // get my team from AD - from active directory so System.Collection.Generic.List var adUsers = _adUserRepository.GetMyTeam(User.Identity.Name); I wish to only show timesheets for those users in the timesheet collection that are present in the user collection. If I use a standard c# expression such as: var teamsheets = from t in timesheets join user in adUsers on t.User1.username equals user.fullname select t; I get the error "An IQueryable that returns a self-referencing Constant expression is not supported" Any recommendations?

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  • SQL query to count and list the different counties per zip code

    - by Chris
    I have a sql server 2005 table called ZipCode, which has all the US ZIPs in it. For each entry, it lists the zip, county, city, state, and several other details. Some zipcodes span multiple cities and some even span multiple counties. As a result, some zipcodes appear many times in the table. I am trying to query the table to see which zipcodes go across multiple counties. This is what I have so far: select zipcode, count(zipcode) as total, county, state from zipcode group by zipcode, county, state order by zipcode Of 19248 records in the result set, here are the first several records returned: zipcode total county state 00501 2 SUFFOLK NY 00544 2 SUFFOLK NY 00801 3 SAINT THOMAS VI 00802 3 SAINT THOMAS VI 00803 3 SAINT THOMAS VI 00804 3 SAINT THOMAS VI 00805 1 SAINT THOMAS VI 00820 2 SAINT CROIX VI 00821 1 SAINT CROIX VI 00822 1 SAINT CROIX VI 00823 2 SAINT CROIX VI 00824 2 SAINT CROIX VI In this particular example, each zip with a total of two or more happens to be in the table more than once, and it's because the "cityaliasname" (not shown) or some other column differs. But I just want to know which zips are in there more than once because the county column differs. I searched before posting this and I found many questions about counting records but I could not figure out how to apply them to my problem. Please forgive me if there is already a question whose answer applies to this question.

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