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  • Drop down menu going under #main div background in IE 7/8/9

    - by Adrift
    Here is the link to the domain http://linenwoods.com I am working on. I am going to fit the navigation list items on the header, but when the drop down menu is implemented I'm pretty sure it'll go under the #main div like you see currently. Is there any easy way fix to this? I couldn't find anything related to this from a google search .. was hoping someone could help me out. Below is the relevant CSS .. I tried playing around with z-index with no luck as I was told IE8 renders it strangely. If you have the time please follow the link with IE and leave a response .. I am trying to be as cross-browser compatible as possible and already am at a pretty pathetic start. Any help would be appreciated :) body { background-image:url('Background1.jpg'); background-position: center; height: 100%; margin: 0; padding: 0; opacity: 0.8; filter: alpha(opacity=80); } #main { width : 1010px; height: 1315px; background-color: white; margin-top: 15px; filter: alpha(opacity=80); } header { width: 1010px; height: 230px; background-color: white; margin: 0 auto; margin-top: 15px; filter: alpha(opacity=80); } footer { width: 1010px; height: 230px; background-color: white; margin: 15px 0 15px 0; filter: alpha(opacity=80); }

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  • Creating packages in code - Package Configurations

    Continuing my theme of building various types of packages in code, this example shows how to building a package with package configurations. Incidentally it shows you how to add a variable, and a connection too. It covers the five most common configurations: Configuration File Indirect Configuration File SQL Server Indirect SQL Server Environment Variable  For a general overview try the SQL Server Books Online Package Configurations topic. The sample uses a a simple helper function ApplyConfig to create or update a configuration, although in the example we will only ever create. The most useful knowledge is the configuration string (Configuration.ConfigurationString) that you need to set. Configuration Type Configuration String Description Configuration File The full path and file name of an XML configuration file. The file can contain one or more configuration and includes the target path and new value to set. Indirect Configuration File An environment variable the value of which contains full path and file name of an XML configuration file as per the Configuration File type described above. SQL Server A three part configuration string, with each part being quote delimited and separated by a semi-colon. -- The first part is the connection manager name. The connection tells you which server and database to look for the configuration table. -- The second part is the name of the configuration table. The table is of a standard format, use the Package Configuration Wizard to help create an example, or see the sample script files below. The table contains one or more rows or configuration items each with a target path and new value. -- The third and final part is the optional filter name. A configuration table can contain multiple configurations, and the filter is  literal value that can be used to group items together and act as a filter clause when configurations are being read. If you do not need a filter, just leave the value empty. Indirect SQL Server An environment variable the value of which is the three part configuration string as per the SQL Server type described above. Environment Variable An environment variable the value of which is the value to set in the package. This is slightly different to the other examples as the configuration definition in the package also includes the target information. In our ApplyConfig function this is the only example that actually supplies a target value for the Configuration.PackagePath property. The path is an XPath style path for the target property, \Package.Variables[User::Variable].Properties[Value], the equivalent of which can be seen in the screenshot below, with the object being our variable called Variable, and the property to set is the Value property of that variable object. The configurations as seen when opening the generated package in BIDS: The sample code creates the package, adds a variable and connection manager, enables configurations, and then adds our example configurations. The package is then saved to disk, useful for checking the package and testing, before finally executing, just to prove it is valid. There are some external resources used here, namely some environment variables and a table, see below for more details. namespace Konesans.Dts.Samples { using System; using Microsoft.SqlServer.Dts.Runtime; public class PackageConfigurations { public void CreatePackage() { // Create a new package Package package = new Package(); package.Name = "ConfigurationSample"; // Add a variable, the target for our configurations package.Variables.Add("Variable", false, "User", 0); // Add a connection, for SQL configurations // Add the SQL OLE-DB connection ConnectionManager connectionManagerOleDb = package.Connections.Add("OLEDB"); connectionManagerOleDb.Name = "SQLConnection"; connectionManagerOleDb.ConnectionString = "Provider=SQLOLEDB.1;Data Source=(local);Initial Catalog=master;Integrated Security=SSPI;"; // Add our example configurations, first must enable package setting package.EnableConfigurations = true; // Direct configuration file, see sample file this.ApplyConfig(package, "Configuration File", DTSConfigurationType.ConfigFile, "C:\\Temp\\XmlConfig.dtsConfig", string.Empty); // Indirect configuration file, the emvironment variable XmlConfigFileEnvironmentVariable // contains the path to the configuration file, e.g. C:\Temp\XmlConfig.dtsConfig this.ApplyConfig(package, "Indirect Configuration File", DTSConfigurationType.IConfigFile, "XmlConfigFileEnvironmentVariable", string.Empty); // Direct SQL Server configuration, uses the SQLConnection package connection to read // configurations from the [dbo].[SSIS Configurations] table, with a filter of "SampleFilter" this.ApplyConfig(package, "SQL Server", DTSConfigurationType.SqlServer, "\"SQLConnection\";\"[dbo].[SSIS Configurations]\";\"SampleFilter\";", string.Empty); // Indirect SQL Server configuration, the environment variable "SQLServerEnvironmentVariable" // contains the configuration string e.g. "SQLConnection";"[dbo].[SSIS Configurations]";"SampleFilter"; this.ApplyConfig(package, "Indirect SQL Server", DTSConfigurationType.ISqlServer, "SQLServerEnvironmentVariable", string.Empty); // Direct environment variable, the value of the EnvironmentVariable environment variable is // applied to the target property, the value of the "User::Variable" package variable this.ApplyConfig(package, "EnvironmentVariable", DTSConfigurationType.EnvVariable, "EnvironmentVariable", "\\Package.Variables[User::Variable].Properties[Value]"); #if DEBUG // Save package to disk, DEBUG only new Application().SaveToXml(String.Format(@"C:\Temp\{0}.dtsx", package.Name), package, null); Console.WriteLine(@"C:\Temp\{0}.dtsx", package.Name); #endif // Execute package package.Execute(); // Basic check for warnings foreach (DtsWarning warning in package.Warnings) { Console.WriteLine("WarningCode : {0}", warning.WarningCode); Console.WriteLine(" SubComponent : {0}", warning.SubComponent); Console.WriteLine(" Description : {0}", warning.Description); Console.WriteLine(); } // Basic check for errors foreach (DtsError error in package.Errors) { Console.WriteLine("ErrorCode : {0}", error.ErrorCode); Console.WriteLine(" SubComponent : {0}", error.SubComponent); Console.WriteLine(" Description : {0}", error.Description); Console.WriteLine(); } package.Dispose(); } /// <summary> /// Add or update an package configuration. /// </summary> /// <param name="package">The package.</param> /// <param name="name">The configuration name.</param> /// <param name="type">The type of configuration</param> /// <param name="setting">The configuration setting.</param> /// <param name="target">The target of the configuration, leave blank if not required.</param> internal void ApplyConfig(Package package, string name, DTSConfigurationType type, string setting, string target) { Configurations configurations = package.Configurations; Configuration configuration; if (configurations.Contains(name)) { configuration = configurations[name]; } else { configuration = configurations.Add(); } configuration.Name = name; configuration.ConfigurationType = type; configuration.ConfigurationString = setting; configuration.PackagePath = target; } } } The following table lists the environment variables required for the full example to work along with some sample values. Variable Sample value EnvironmentVariable 1 SQLServerEnvironmentVariable "SQLConnection";"[dbo].[SSIS Configurations]";"SampleFilter"; XmlConfigFileEnvironmentVariable C:\Temp\XmlConfig.dtsConfig Sample code, package and configuration file. ConfigurationApplication.cs ConfigurationSample.dtsx XmlConfig.dtsConfig

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  • Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 1

    - by rajbk
    The Open Data Protocol, referred to as OData, is a new data-sharing standard that breaks down silos and fosters an interoperative ecosystem for data consumers (clients) and producers (services) that is far more powerful than currently possible. It enables more applications to make sense of a broader set of data, and helps every data service and client add value to the whole ecosystem. WCF Data Services (previously known as ADO.NET Data Services), then, was the first Microsoft technology to support the Open Data Protocol in Visual Studio 2008 SP1. It provides developers with client libraries for .NET, Silverlight, AJAX, PHP and Java. Microsoft now also supports OData in SQL Server 2008 R2, Windows Azure Storage, Excel 2010 (through PowerPivot), and SharePoint 2010. Many other other applications in the works. * This post walks you through how to create an OData feed, define a shape for the data and pre-filter the data using Visual Studio 2010, WCF Data Services and the Entity Framework. A sample project is attached at the bottom of Part 2 of this post. Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 2 Create the Web Application File –› New –› Project, Select “ASP.NET Empty Web Application” Add the Entity Data Model Right click on the Web Application in the Solution Explorer and select “Add New Item..” Select “ADO.NET Entity Data Model” under "Data”. Name the Model “Northwind” and click “Add”.   In the “Choose Model Contents”, select “Generate Model From Database” and click “Next”   Define a connection to your database containing the Northwind database in the next screen. We are going to expose the Products table through our OData feed. Select “Products” in the “Choose your Database Object” screen.   Click “Finish”. We are done creating our Entity Data Model. Save the Northwind.edmx file created. Add the WCF Data Service Right click on the Web Application in the Solution Explorer and select “Add New Item..” Select “WCF Data Service” from the list and call the service “DataService” (creative, huh?). Click “Add”.   Enable Access to the Data Service Open the DataService.svc.cs class. The class is well commented and instructs us on the next steps. public class DataService : DataService< /* TODO: put your data source class name here */ > { // This method is called only once to initialize service-wide policies. public static void InitializeService(DataServiceConfiguration config) { // TODO: set rules to indicate which entity sets and service operations are visible, updatable, etc. // Examples: // config.SetEntitySetAccessRule("MyEntityset", EntitySetRights.AllRead); // config.SetServiceOperationAccessRule("MyServiceOperation", ServiceOperationRights.All); config.DataServiceBehavior.MaxProtocolVersion = DataServiceProtocolVersion.V2; } } Replace the comment that starts with “/* TODO:” with “NorthwindEntities” (the entity container name of the Model we created earlier).  WCF Data Services is initially locked down by default, FTW! No data is exposed without you explicitly setting it. You have explicitly specify which Entity sets you wish to expose and what rights are allowed by using the SetEntitySetAccessRule. The SetServiceOperationAccessRule on the other hand sets rules for a specified operation. Let us define an access rule to expose the Products Entity we created earlier. We use the EnititySetRights.AllRead since we want to give read only access. Our modified code is shown below. public class DataService : DataService<NorthwindEntities> { public static void InitializeService(DataServiceConfiguration config) { config.SetEntitySetAccessRule("Products", EntitySetRights.AllRead); config.DataServiceBehavior.MaxProtocolVersion = DataServiceProtocolVersion.V2; } } We are done setting up our ODataFeed! Compile your project. Right click on DataService.svc and select “View in Browser” to see the OData feed. To view the feed in IE, you must make sure that "Feed Reading View" is turned off. You set this under Tools -› Internet Options -› Content tab.   If you navigate to “Products”, you should see the Products feed. Note also that URIs are case sensitive. ie. Products work but products doesn’t.   Filtering our data OData has a set of system query operations you can use to perform common operations against data exposed by the model. For example, to see only Products in CategoryID 2, we can use the following request: /DataService.svc/Products?$filter=CategoryID eq 2 At the time of this writing, supported operations are $orderby, $top, $skip, $filter, $expand, $format†, $select, $inlinecount. Pre-filtering our data using Query Interceptors The Product feed currently returns all Products. We want to change that so that it contains only Products that have not been discontinued. WCF introduces the concept of interceptors which allows us to inject custom validation/policy logic into the request/response pipeline of a WCF data service. We will use a QueryInterceptor to pre-filter the data so that it returns only Products that are not discontinued. To create a QueryInterceptor, write a method that returns an Expression<Func<T, bool>> and mark it with the QueryInterceptor attribute as shown below. [QueryInterceptor("Products")] public Expression<Func<Product, bool>> OnReadProducts() { return o => o.Discontinued == false; } Viewing the feed after compilation will only show products that have not been discontinued. We also confirm this by looking at the WHERE clause in the SQL generated by the entity framework. SELECT [Extent1].[ProductID] AS [ProductID], ... ... [Extent1].[Discontinued] AS [Discontinued] FROM [dbo].[Products] AS [Extent1] WHERE 0 = [Extent1].[Discontinued] Other examples of Query/Change interceptors can be seen here including an example to filter data based on the identity of the authenticated user. We are done pre-filtering our data. In the next part of this post, we will see how to shape our data. Pre-filtering and shaping OData feeds using WCF Data Services and the Entity Framework - Part 2 Foot Notes * http://msdn.microsoft.com/en-us/data/aa937697.aspx † $format did not work for me. The way to get a Json response is to include the following in the  request header “Accept: application/json, text/javascript, */*” when making the request. This is easily done with most JavaScript libraries.

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  • Cannot install or remove packages

    - by Nuno
    I tried to install the openoffice.org package but it gave an error. Now i cannot repair, remove or install nothing. The Software center of xubuntu gives this error log. Nothing seems to solve this. I tried apt-get install -f but it does not solve the problem either. Any suggestions? installArchives() failed: (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 184189 files and directories currently installed.) Unpacking libreoffice-common (from .../libreoffice-common_1%3a3.5.4-0ubuntu1.1_all.deb) ... dpkg: error processing /var/cache/apt/archives/libreoffice-common_1%3a3.5.4-0ubuntu1.1_all.deb (--unpack): trying to overwrite '/usr/bin/soffice', which is also in package openoffice.org-debian-menus 3.2-9502 No apport report written because MaxReports is reached already rmdir: erro ao remover /var/lib/libreoffice/share/prereg/: Ficheiro ou directoria inexistente rmdir: erro ao remover /var/lib/libreoffice/share/: Directoria no vazia rmdir: erro ao remover /var/lib/libreoffice/program/: Ficheiro ou directoria inexistente rmdir: erro ao remover /var/lib/libreoffice: Directoria no vazia rmdir: erro ao remover /var/lib/libreoffice: Directoria no vazia Processing triggers for desktop-file-utils ... Processing triggers for shared-mime-info ... Processing triggers for gnome-icon-theme ... Processing triggers for hicolor-icon-theme ... Processing triggers for man-db ... Errors were encountered while processing: /var/cache/apt/archives/libreoffice-common_1%3a3.5.4-0ubuntu1.1_all.deb dpkg: dependency problems prevent configuration of libreoffice-java-common: libreoffice-java-common depends on libreoffice-common; however: Package libreoffice-common is not installed. dpkg: error processing libreoffice-java-common (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-filter-mobiledev: libreoffice-filter-mobiledev depends on libreoffice-java-common; however: Package libreoffice-java-common is not configured yet. dpkg: error processing libreoffice-filter-mobiledev (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-base: libreoffice-base depends on libreoffice-java-common (>= 1:3.5.4~); however: Package libreoffice-java-common is not configured yet. dpkg: error processing libreoffice-base (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-core: libreoffice-core depends on libreoffice-common (>> 1:3.5.4); however: Package libreoffice-common is not installed. dpkg: error processing libreoffice-core (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-style-human: libreoffice-style-human depends on libreoffice-core; however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-style-human (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-math: libreoffice-math depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-math (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-impress: libreoffice-impress depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-impress (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-style-tango: libreoffice-style-tango depends on libreoffice-core; however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-style-tango (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice: libreoffice depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. libreoffice depends on libreoffice-impress; however: Package libreoffice-impress is not configured yet. libreoffice depends on libreoffice-math; however: Package libreoffice-math is not configured yet. libreoffice depends on libreoffice-base; however: Package libreoffice-base is not configured yet. libreoffice depends on libreoffice-filter-mobiledev; however: Package libreoffice-filter-mobiledev is not configured yet. libreoffice depends on libreoffice-java-common (>= 1:3.5.4~); however: Package libreoffice-java-common is not configured yet. dpkg: error processing libreoffice (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-writer: libreoffice-writer depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-writer (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of mythes-en-us: mythes-en-us depends on libreoffice-core | openoffice.org-core (>= 1.9) | language-support-writing-en; however: Package libreoffice-core is not configured yet. Package openoffice.org-core is not installed. Package language-support-writing-en is not installed. dpkg: error processing mythes-en-us (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-help-zh-cn: libreoffice-help-zh-cn depends on libreoffice-writer | language-support-translations-zh; however: Package libreoffice-writer is not configured yet. Package language-support-translations-zh is not installed. dpkg: error processing libreoffice-help-zh-cn (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-base-core: libreoffice-base-core depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-base-core (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-gnome: libreoffice-gnome depends on libreoffice-core (= 1:3.5.4-0ubuntu1.1); however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-gnome (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-help-pt-br: libreoffice-help-pt-br depends on libreoffice-writer | language-support-translations-pt; however: Package libreoffice-writer is not configured yet. Package language-support-translations-pt is not installed. dpkg: error processing libreoffice-help-pt-br (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-emailmerge: libreoffice-emailmerge depends on libreoffice-core; however: Package libreoffice-core is not configured yet. dpkg: error processing libreoffice-emailmerge (--configure): dependency problems - leaving unconfigured dpkg: dependency problems prevent configuration of libreoffice-help-en-gb: libreoffice-help-en-gb depends on libreoffice-writer | language-support-translations-en; however: Package libreoffice-writer is not configured yet. Package language-support-translations-en is not installed. dpkg: error processing libreoffice-help-en-gb (--configure): dependency problems - leaving unconfigured

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  • Fun with Aggregates

    - by Paul White
    There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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  • Fun with Aggregates

    - by Paul White
    There are interesting things to be learned from even the simplest queries.  For example, imagine you are given the task of writing a query to list AdventureWorks product names where the product has at least one entry in the transaction history table, but fewer than ten. One possible query to meet that specification is: SELECT p.Name FROM Production.Product AS p JOIN Production.TransactionHistory AS th ON p.ProductID = th.ProductID GROUP BY p.ProductID, p.Name HAVING COUNT_BIG(*) < 10; That query correctly returns 23 rows (execution plan and data sample shown below): The execution plan looks a bit different from the written form of the query: the base tables are accessed in reverse order, and the aggregation is performed before the join.  The general idea is to read all rows from the history table, compute the count of rows grouped by ProductID, merge join the results to the Product table on ProductID, and finally filter to only return rows where the count is less than ten. This ‘fully-optimized’ plan has an estimated cost of around 0.33 units.  The reason for the quote marks there is that this plan is not quite as optimal as it could be – surely it would make sense to push the Filter down past the join too?  To answer that, let’s look at some other ways to formulate this query.  This being SQL, there are any number of ways to write logically-equivalent query specifications, so we’ll just look at a couple of interesting ones.  The first query is an attempt to reverse-engineer T-SQL from the optimized query plan shown above.  It joins the result of pre-aggregating the history table to the Product table before filtering: SELECT p.Name FROM ( SELECT th.ProductID, cnt = COUNT_BIG(*) FROM Production.TransactionHistory AS th GROUP BY th.ProductID ) AS q1 JOIN Production.Product AS p ON p.ProductID = q1.ProductID WHERE q1.cnt < 10; Perhaps a little surprisingly, we get a slightly different execution plan: The results are the same (23 rows) but this time the Filter is pushed below the join!  The optimizer chooses nested loops for the join, because the cardinality estimate for rows passing the Filter is a bit low (estimate 1 versus 23 actual), though you can force a merge join with a hint and the Filter still appears below the join.  In yet another variation, the < 10 predicate can be ‘manually pushed’ by specifying it in a HAVING clause in the “q1” sub-query instead of in the WHERE clause as written above. The reason this predicate can be pushed past the join in this query form, but not in the original formulation is simply an optimizer limitation – it does make efforts (primarily during the simplification phase) to encourage logically-equivalent query specifications to produce the same execution plan, but the implementation is not completely comprehensive. Moving on to a second example, the following query specification results from phrasing the requirement as “list the products where there exists fewer than ten correlated rows in the history table”: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) < 10 ); Unfortunately, this query produces an incorrect result (86 rows): The problem is that it lists products with no history rows, though the reasons are interesting.  The COUNT_BIG(*) in the EXISTS clause is a scalar aggregate (meaning there is no GROUP BY clause) and scalar aggregates always produce a value, even when the input is an empty set.  In the case of the COUNT aggregate, the result of aggregating the empty set is zero (the other standard aggregates produce a NULL).  To make the point really clear, let’s look at product 709, which happens to be one for which no history rows exist: -- Scalar aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709;   -- Vector aggregate SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = 709 GROUP BY th.ProductID; The estimated execution plans for these two statements are almost identical: You might expect the Stream Aggregate to have a Group By for the second statement, but this is not the case.  The query includes an equality comparison to a constant value (709), so all qualified rows are guaranteed to have the same value for ProductID and the Group By is optimized away. In fact there are some minor differences between the two plans (the first is auto-parameterized and qualifies for trivial plan, whereas the second is not auto-parameterized and requires cost-based optimization), but there is nothing to indicate that one is a scalar aggregate and the other is a vector aggregate.  This is something I would like to see exposed in show plan so I suggested it on Connect.  Anyway, the results of running the two queries show the difference at runtime: The scalar aggregate (no GROUP BY) returns a result of zero, whereas the vector aggregate (with a GROUP BY clause) returns nothing at all.  Returning to our EXISTS query, we could ‘fix’ it by changing the HAVING clause to reject rows where the scalar aggregate returns zero: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID HAVING COUNT_BIG(*) BETWEEN 1 AND 9 ); The query now returns the correct 23 rows: Unfortunately, the execution plan is less efficient now – it has an estimated cost of 0.78 compared to 0.33 for the earlier plans.  Let’s try adding a redundant GROUP BY instead of changing the HAVING clause: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY th.ProductID HAVING COUNT_BIG(*) < 10 ); Not only do we now get correct results (23 rows), this is the execution plan: I like to compare that plan to quantum physics: if you don’t find it shocking, you haven’t understood it properly :)  The simple addition of a redundant GROUP BY has resulted in the EXISTS form of the query being transformed into exactly the same optimal plan we found earlier.  What’s more, in SQL Server 2008 and later, we can replace the odd-looking GROUP BY with an explicit GROUP BY on the empty set: SELECT p.Name FROM Production.Product AS p WHERE EXISTS ( SELECT * FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ); I offer that as an alternative because some people find it more intuitive (and it perhaps has more geek value too).  Whichever way you prefer, it’s rather satisfying to note that the result of the sub-query does not exist for a particular correlated value where a vector aggregate is used (the scalar COUNT aggregate always returns a value, even if zero, so it always ‘EXISTS’ regardless which ProductID is logically being evaluated). The following query forms also produce the optimal plan and correct results, so long as a vector aggregate is used (you can probably find more equivalent query forms): WHERE Clause SELECT p.Name FROM Production.Product AS p WHERE ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) < 10; APPLY SELECT p.Name FROM Production.Product AS p CROSS APPLY ( SELECT NULL FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () HAVING COUNT_BIG(*) < 10 ) AS ca (dummy); FROM Clause SELECT q1.Name FROM ( SELECT p.Name, cnt = ( SELECT COUNT_BIG(*) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID GROUP BY () ) FROM Production.Product AS p ) AS q1 WHERE q1.cnt < 10; This last example uses SUM(1) instead of COUNT and does not require a vector aggregate…you should be able to work out why :) SELECT q.Name FROM ( SELECT p.Name, cnt = ( SELECT SUM(1) FROM Production.TransactionHistory AS th WHERE th.ProductID = p.ProductID ) FROM Production.Product AS p ) AS q WHERE q.cnt < 10; The semantics of SQL aggregates are rather odd in places.  It definitely pays to get to know the rules, and to be careful to check whether your queries are using scalar or vector aggregates.  As we have seen, query plans do not show in which ‘mode’ an aggregate is running and getting it wrong can cause poor performance, wrong results, or both. © 2012 Paul White Twitter: @SQL_Kiwi email: [email protected]

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  • Currency Conversion in Oracle BI applications

    - by Saurabh Verma
    Authored by Vijay Aggarwal and Hichem Sellami A typical data warehouse contains Star and/or Snowflake schema, made up of Dimensions and Facts. The facts store various numerical information including amounts. Example; Order Amount, Invoice Amount etc. With the true global nature of business now-a-days, the end-users want to view the reports in their own currency or in global/common currency as defined by their business. This presents a unique opportunity in BI to provide the amounts in converted rates either by pre-storing or by doing on-the-fly conversions while displaying the reports to the users. Source Systems OBIA caters to various source systems like EBS, PSFT, Sebl, JDE, Fusion etc. Each source has its own unique and intricate ways of defining and storing currency data, doing currency conversions and presenting to the OLTP users. For example; EBS stores conversion rates between currencies which can be classified by conversion rates, like Corporate rate, Spot rate, Period rate etc. Siebel stores exchange rates by conversion rates like Daily. EBS/Fusion stores the conversion rates for each day, where as PSFT/Siebel store for a range of days. PSFT has Rate Multiplication Factor and Rate Division Factor and we need to calculate the Rate based on them, where as other Source systems store the Currency Exchange Rate directly. OBIA Design The data consolidation from various disparate source systems, poses the challenge to conform various currencies, rate types, exchange rates etc., and designing the best way to present the amounts to the users without affecting the performance. When consolidating the data for reporting in OBIA, we have designed the mechanisms in the Common Dimension, to allow users to report based on their required currencies. OBIA Facts store amounts in various currencies: Document Currency: This is the currency of the actual transaction. For a multinational company, this can be in various currencies. Local Currency: This is the base currency in which the accounting entries are recorded by the business. This is generally defined in the Ledger of the company. Global Currencies: OBIA provides five Global Currencies. Three are used across all modules. The last two are for CRM only. A Global currency is very useful when creating reports where the data is viewed enterprise-wide. Example; a US based multinational would want to see the reports in USD. The company will choose USD as one of the global currencies. OBIA allows users to define up-to five global currencies during the initial implementation. The term Currency Preference is used to designate the set of values: Document Currency, Local Currency, Global Currency 1, Global Currency 2, Global Currency 3; which are shared among all modules. There are four more currency preferences, specific to certain modules: Global Currency 4 (aka CRM Currency) and Global Currency 5 which are used in CRM; and Project Currency and Contract Currency, used in Project Analytics. When choosing Local Currency for Currency preference, the data will show in the currency of the Ledger (or Business Unit) in the prompt. So it is important to select one Ledger or Business Unit when viewing data in Local Currency. More on this can be found in the section: Toggling Currency Preferences in the Dashboard. Design Logic When extracting the fact data, the OOTB mappings extract and load the document amount, and the local amount in target tables. It also loads the exchange rates required to convert the document amount into the corresponding global amounts. If the source system only provides the document amount in the transaction, the extract mapping does a lookup to get the Local currency code, and the Local exchange rate. The Load mapping then uses the local currency code and rate to derive the local amount. The load mapping also fetches the Global Currencies and looks up the corresponding exchange rates. The lookup of exchange rates is done via the Exchange Rate Dimension provided as a Common/Conforming Dimension in OBIA. The Exchange Rate Dimension stores the exchange rates between various currencies for a date range and Rate Type. Two physical tables W_EXCH_RATE_G and W_GLOBAL_EXCH_RATE_G are used to provide the lookups and conversions between currencies. The data is loaded from the source system’s Ledger tables. W_EXCH_RATE_G stores the exchange rates between currencies with a date range. On the other hand, W_GLOBAL_EXCH_RATE_G stores the currency conversions between the document currency and the pre-defined five Global Currencies for each day. Based on the requirements, the fact mappings can decide and use one or both tables to do the conversion. Currency design in OBIA also taps into the MLS and Domain architecture, thus allowing the users to map the currencies to a universal Domain during the implementation time. This is especially important for companies deploying and using OBIA with multiple source adapters. Some Gotchas to Look for It is necessary to think through the currencies during the initial implementation. 1) Identify various types of currencies that are used by your business. Understand what will be your Local (or Base) and Documentation currency. Identify various global currencies that your users will want to look at the reports. This will be based on the global nature of your business. Changes to these currencies later in the project, while permitted, but may cause Full data loads and hence lost time. 2) If the user has a multi source system make sure that the Global Currencies and Global Rate Types chosen in Configuration Manager do have the corresponding source specific counterparts. In other words, make sure for every DW specific value chosen for Currency Code or Rate Type, there is a source Domain mapping already done. Technical Section This section will briefly mention the technical scenarios employed in the OBIA adaptors to extract data from each source system. In OBIA, we have two main tables which store the Currency Rate information as explained in previous sections. W_EXCH_RATE_G and W_GLOBAL_EXCH_RATE_G are the two tables. W_EXCH_RATE_G stores all the Currency Conversions present in the source system. It captures data for a Date Range. W_GLOBAL_EXCH_RATE_G has Global Currency Conversions stored at a Daily level. However the challenge here is to store all the 5 Global Currency Exchange Rates in a single record for each From Currency. Let’s voyage further into the Source System Extraction logic for each of these tables and understand the flow briefly. EBS: In EBS, we have Currency Data stored in GL_DAILY_RATES table. As the name indicates GL_DAILY_RATES EBS table has data at a daily level. However in our warehouse we store the data with a Date Range and insert a new range record only when the Exchange Rate changes for a particular From Currency, To Currency and Rate Type. Below are the main logical steps that we employ in this process. (Incremental Flow only) – Cleanup the data in W_EXCH_RATE_G. Delete the records which have Start Date > minimum conversion date Update the End Date of the existing records. Compress the daily data from GL_DAILY_RATES table into Range Records. Incremental map uses $$XRATE_UPD_NUM_DAY as an extra parameter. Generate Previous Rate, Previous Date and Next Date for each of the Daily record from the OLTP. Filter out the records which have Conversion Rate same as Previous Rates or if the Conversion Date lies within a single day range. Mark the records as ‘Keep’ and ‘Filter’ and also get the final End Date for the single Range record (Unique Combination of From Date, To Date, Rate and Conversion Date). Filter the records marked as ‘Filter’ in the INFA map. The above steps will load W_EXCH_RATE_GS. Step 0 updates/deletes W_EXCH_RATE_G directly. SIL map will then insert/update the GS data into W_EXCH_RATE_G. These steps convert the daily records in GL_DAILY_RATES to Range records in W_EXCH_RATE_G. We do not need such special logic for loading W_GLOBAL_EXCH_RATE_G. This is a table where we store data at a Daily Granular Level. However we need to pivot the data because the data present in multiple rows in source tables needs to be stored in different columns of the same row in DW. We use GROUP BY and CASE logic to achieve this. Fusion: Fusion has extraction logic very similar to EBS. The only difference is that the Cleanup logic that was mentioned in step 0 above does not use $$XRATE_UPD_NUM_DAY parameter. In Fusion we bring all the Exchange Rates in Incremental as well and do the cleanup. The SIL then takes care of Insert/Updates accordingly. PeopleSoft:PeopleSoft does not have From Date and To Date explicitly in the Source tables. Let’s look at an example. Please note that this is achieved from PS1 onwards only. 1 Jan 2010 – USD to INR – 45 31 Jan 2010 – USD to INR – 46 PSFT stores records in above fashion. This means that Exchange Rate of 45 for USD to INR is applicable for 1 Jan 2010 to 30 Jan 2010. We need to store data in this fashion in DW. Also PSFT has Exchange Rate stored as RATE_MULT and RATE_DIV. We need to do a RATE_MULT/RATE_DIV to get the correct Exchange Rate. We generate From Date and To Date while extracting data from source and this has certain assumptions: If a record gets updated/inserted in the source, it will be extracted in incremental. Also if this updated/inserted record is between other dates, then we also extract the preceding and succeeding records (based on dates) of this record. This is required because we need to generate a range record and we have 3 records whose ranges have changed. Taking the same example as above, if there is a new record which gets inserted on 15 Jan 2010; the new ranges are 1 Jan to 14 Jan, 15 Jan to 30 Jan and 31 Jan to Next available date. Even though 1 Jan record and 31 Jan have not changed, we will still extract them because the range is affected. Similar logic is used for Global Exchange Rate Extraction. We create the Range records and get it into a Temporary table. Then we join to Day Dimension, create individual records and pivot the data to get the 5 Global Exchange Rates for each From Currency, Date and Rate Type. Siebel: Siebel Facts are dependent on Global Exchange Rates heavily and almost none of them really use individual Exchange Rates. In other words, W_GLOBAL_EXCH_RATE_G is the main table used in Siebel from PS1 release onwards. As of January 2002, the Euro Triangulation method for converting between currencies belonging to EMU members is not needed for present and future currency exchanges. However, the method is still available in Siebel applications, as are the old currencies, so that historical data can be maintained accurately. The following description applies only to historical data needing conversion prior to the 2002 switch to the Euro for the EMU member countries. If a country is a member of the European Monetary Union (EMU), you should convert its currency to other currencies through the Euro. This is called triangulation, and it is used whenever either currency being converted has EMU Triangulation checked. Due to this, there are multiple extraction flows in SEBL ie. EUR to EMU, EUR to NonEMU, EUR to DMC and so on. We load W_EXCH_RATE_G through multiple flows with these data. This has been kept same as previous versions of OBIA. W_GLOBAL_EXCH_RATE_G being a new table does not have such needs. However SEBL does not have From Date and To Date columns in the Source tables similar to PSFT. We use similar extraction logic as explained in PSFT section for SEBL as well. What if all 5 Global Currencies configured are same? As mentioned in previous sections, from PS1 onwards we store Global Exchange Rates in W_GLOBAL_EXCH_RATE_G table. The extraction logic for this table involves Pivoting data from multiple rows into a single row with 5 Global Exchange Rates in 5 columns. As mentioned in previous sections, we use CASE and GROUP BY functions to achieve this. This approach poses a unique problem when all the 5 Global Currencies Chosen are same. For example – If the user configures all 5 Global Currencies as ‘USD’ then the extract logic will not be able to generate a record for From Currency=USD. This is because, not all Source Systems will have a USD->USD conversion record. We have _Generated mappings to take care of this case. We generate a record with Conversion Rate=1 for such cases. Reusable Lookups Before PS1, we had a Mapplet for Currency Conversions. In PS1, we only have reusable Lookups- LKP_W_EXCH_RATE_G and LKP_W_GLOBAL_EXCH_RATE_G. These lookups have another layer of logic so that all the lookup conditions are met when they are used in various Fact Mappings. Any user who would want to do a LKP on W_EXCH_RATE_G or W_GLOBAL_EXCH_RATE_G should and must use these Lookups. A direct join or Lookup on the tables might lead to wrong data being returned. Changing Currency preferences in the Dashboard: In the 796x series, all amount metrics in OBIA were showing the Global1 amount. The customer needed to change the metric definitions to show them in another Currency preference. Project Analytics started supporting currency preferences since 7.9.6 release though, and it published a Tech note for other module customers to add toggling between currency preferences to the solution. List of Currency Preferences Starting from 11.1.1.x release, the BI Platform added a new feature to support multiple currencies. The new session variable (PREFERRED_CURRENCY) is populated through a newly introduced currency prompt. This prompt can take its values from the xml file: userpref_currencies_OBIA.xml, which is hosted in the BI Server installation folder, under :< home>\instances\instance1\config\OracleBIPresentationServicesComponent\coreapplication_obips1\userpref_currencies.xml This file contains the list of currency preferences, like“Local Currency”, “Global Currency 1”,…which customers can also rename to give them more meaningful business names. There are two options for showing the list of currency preferences to the user in the dashboard: Static and Dynamic. In Static mode, all users will see the full list as in the user preference currencies file. In the Dynamic mode, the list shown in the currency prompt drop down is a result of a dynamic query specified in the same file. Customers can build some security into the rpd, so the list of currency preferences will be based on the user roles…BI Applications built a subject area: “Dynamic Currency Preference” to run this query, and give every user only the list of currency preferences required by his application roles. Adding Currency to an Amount Field When the user selects one of the items from the currency prompt, all the amounts in that page will show in the Currency corresponding to that preference. For example, if the user selects “Global Currency1” from the prompt, all data will be showing in Global Currency 1 as specified in the Configuration Manager. If the user select “Local Currency”, all amount fields will show in the Currency of the Business Unit selected in the BU filter of the same page. If there is no particular Business Unit selected in that filter, and the data selected by the query contains amounts in more than one currency (for example one BU has USD as a functional currency, the other has EUR as functional currency), then subtotals will not be available (cannot add USD and EUR amounts in one field), and depending on the set up (see next paragraph), the user may receive an error. There are two ways to add the Currency field to an amount metric: In the form of currency code, like USD, EUR…For this the user needs to add the field “Apps Common Currency Code” to the report. This field is in every subject area, usually under the table “Currency Tag” or “Currency Code”… In the form of currency symbol ($ for USD, € for EUR,…) For this, the user needs to format the amount metrics in the report as a currency column, by specifying the currency tag column in the Column Properties option in Column Actions drop down list. Typically this column should be the “BI Common Currency Code” available in every subject area. Select Column Properties option in the Edit list of a metric. In the Data Format tab, select Custom as Treat Number As. Enter the following syntax under Custom Number Format: [$:currencyTagColumn=Subjectarea.table.column] Where Column is the “BI Common Currency Code” defined to take the currency code value based on the currency preference chosen by the user in the Currency preference prompt.

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  • Unobtrusive Client Side Validation with Dynamic Contents in ASP.NET MVC 3

    - by imran_ku07
        Introduction:          A while ago, I blogged about how to perform client side validation for dynamic contents in ASP.NET MVC 2 at here. Using the approach given in that blog, you can easily validate your dynamic ajax contents at client side. ASP.NET MVC 3 also supports unobtrusive client side validation in addition to ASP.NET MVC 2 client side validation for backward compatibility. I feel it is worth to rewrite that blog post for ASP.NET MVC 3 unobtrusive client side validation. In this article I will show you how to do this.       Description:           I am going to use the same example presented at here. Create a new ASP.NET MVC 3 application. Then just open HomeController.cs and add the following code,   public ActionResult CreateUser() { return View(); } [HttpPost] public ActionResult CreateUserPrevious(UserInformation u) { return View("CreateUserInformation", u); } [HttpPost] public ActionResult CreateUserInformation(UserInformation u) { if(ModelState.IsValid) return View("CreateUserCompanyInformation"); return View("CreateUserInformation"); } [HttpPost] public ActionResult CreateUserCompanyInformation(UserCompanyInformation uc, UserInformation ui) { if (ModelState.IsValid) return Content("Thank you for submitting your information"); return View("CreateUserCompanyInformation"); }             Next create a CreateUser view and add the following lines,   <%@ Page Title="" Language="C#" MasterPageFile="~/Views/Shared/Site.Master" Inherits="System.Web.Mvc.ViewPage<UnobtrusiveValidationWithDynamicContents.Models.UserInformation>" %> <asp:Content ID="Content1" ContentPlaceHolderID="TitleContent" runat="server"> CreateUser </asp:Content> <asp:Content ID="Content2" ContentPlaceHolderID="MainContent" runat="server"> <div id="dynamicData"> <%Html.RenderPartial("CreateUserInformation"); %> </div> </asp:Content>             Next create a CreateUserInformation partial view and add the following lines,   <%@ Control Language="C#" Inherits="System.Web.Mvc.ViewUserControl<UnobtrusiveValidationWithDynamicContents.Models.UserInformation>" %> <% Html.EnableClientValidation(); %> <%using (Html.BeginForm("CreateUserInformation", "Home")) { %> <table id="table1"> <tr style="background-color:#E8EEF4;font-weight:bold"> <td colspan="3" align="center"> User Information </td> </tr> <tr> <td> First Name </td> <td> <%=Html.TextBoxFor(a => a.FirstName)%> </td> <td> <%=Html.ValidationMessageFor(a => a.FirstName)%> </td> </tr> <tr> <td> Last Name </td> <td> <%=Html.TextBoxFor(a => a.LastName)%> </td> <td> <%=Html.ValidationMessageFor(a => a.LastName)%> </td> </tr> <tr> <td> Email </td> <td> <%=Html.TextBoxFor(a => a.Email)%> </td> <td> <%=Html.ValidationMessageFor(a => a.Email)%> </td> </tr> <tr> <td colspan="3" align="center"> <input type="submit" name="userInformation" value="Next"/> </td> </tr> </table> <%} %> <script type="text/javascript"> $("form").submit(function (e) { if ($(this).valid()) { $.post('<%= Url.Action("CreateUserInformation")%>', $(this).serialize(), function (data) { $("#dynamicData").html(data); $.validator.unobtrusive.parse($("#dynamicData")); }); } e.preventDefault(); }); </script>             Next create a CreateUserCompanyInformation partial view and add the following lines,   <%@ Control Language="C#" Inherits="System.Web.Mvc.ViewUserControl<UnobtrusiveValidationWithDynamicContents.Models.UserCompanyInformation>" %> <% Html.EnableClientValidation(); %> <%using (Html.BeginForm("CreateUserCompanyInformation", "Home")) { %> <table id="table1"> <tr style="background-color:#E8EEF4;font-weight:bold"> <td colspan="3" align="center"> User Company Information </td> </tr> <tr> <td> Company Name </td> <td> <%=Html.TextBoxFor(a => a.CompanyName)%> </td> <td> <%=Html.ValidationMessageFor(a => a.CompanyName)%> </td> </tr> <tr> <td> Company Address </td> <td> <%=Html.TextBoxFor(a => a.CompanyAddress)%> </td> <td> <%=Html.ValidationMessageFor(a => a.CompanyAddress)%> </td> </tr> <tr> <td> Designation </td> <td> <%=Html.TextBoxFor(a => a.Designation)%> </td> <td> <%=Html.ValidationMessageFor(a => a.Designation)%> </td> </tr> <tr> <td colspan="3" align="center"> <input type="button" id="prevButton" value="Previous"/>   <input type="submit" name="userCompanyInformation" value="Next"/> <%=Html.Hidden("FirstName")%> <%=Html.Hidden("LastName")%> <%=Html.Hidden("Email")%> </td> </tr> </table> <%} %> <script type="text/javascript"> $("#prevButton").click(function () { $.post('<%= Url.Action("CreateUserPrevious")%>', $($("form")[0]).serialize(), function (data) { $("#dynamicData").html(data); $.validator.unobtrusive.parse($("#dynamicData")); }); }); $("form").submit(function (e) { if ($(this).valid()) { $.post('<%= Url.Action("CreateUserCompanyInformation")%>', $(this).serialize(), function (data) { $("#dynamicData").html(data); $.validator.unobtrusive.parse($("#dynamicData")); }); } e.preventDefault(); }); </script>             Next create a new class file UserInformation.cs inside Model folder and add the following code,   public class UserInformation { public int Id { get; set; } [Required(ErrorMessage = "First Name is required")] [StringLength(10, ErrorMessage = "First Name max length is 10")] public string FirstName { get; set; } [Required(ErrorMessage = "Last Name is required")] [StringLength(10, ErrorMessage = "Last Name max length is 10")] public string LastName { get; set; } [Required(ErrorMessage = "Email is required")] [RegularExpression(@"^\w+([-+.']\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*$", ErrorMessage = "Email Format is wrong")] public string Email { get; set; } }             Next create a new class file UserCompanyInformation.cs inside Model folder and add the following code,    public class UserCompanyInformation { public int UserId { get; set; } [Required(ErrorMessage = "Company Name is required")] [StringLength(10, ErrorMessage = "Company Name max length is 10")] public string CompanyName { get; set; } [Required(ErrorMessage = "CompanyAddress is required")] [StringLength(50, ErrorMessage = "Company Address max length is 50")] public string CompanyAddress { get; set; } [Required(ErrorMessage = "Designation is required")] [StringLength(50, ErrorMessage = "Designation max length is 10")] public string Designation { get; set; } }            Next add the necessary script files in Site.Master,   <script src="<%= Url.Content("~/Scripts/jquery-1.4.4.min.js")%>" type="text/javascript"></script> <script src="<%= Url.Content("~/Scripts/jquery.validate.min.js")%>" type="text/javascript"></script> <script src="<%= Url.Content("~/Scripts/jquery.validate.unobtrusive.min.js")%>" type="text/javascript"></script>            Now run this application. You will get the same behavior as described in this article. The key important feature to note here is the $.validator.unobtrusive.parse method, which is used by ASP.NET MVC 3 unobtrusive client side validation to initialize jQuery validation plug-in to start the client side validation process. Another important method to note here is the jQuery.valid method which return true if the form is valid and return false if the form is not valid .       Summary:          There may be several occasions when you need to load your HTML contents dynamically. These dynamic HTML contents may also include some input elements and you need to perform some client side validation for these input elements before posting thier values to server. In this article I shows you how you can enable client side validation for dynamic input elements in ASP.NET MVC 3. I am also attaching a sample application. Hopefully you will enjoy this article too.   SyntaxHighlighter.all()

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  • Calculating the Size (in Bytes and MB) of a Oracle Coherence Cache

    - by Ricardo Ferreira
    The concept and usage of data grids are becoming very popular in this days since this type of technology are evolving very fast with some cool lead products like Oracle Coherence. Once for a while, developers need an programmatic way to calculate the total size of a specific cache that are residing in the data grid. In this post, I will show how to accomplish this using Oracle Coherence API. This example has been tested with 3.6, 3.7 and 3.7.1 versions of Oracle Coherence. To start the development of this example, you need to create a POJO ("Plain Old Java Object") that represents a data structure that will hold user data. This data structure will also create an internal fat so I call that should increase considerably the size of each instance in the heap memory. Create a Java class named "Person" as shown in the listing below. package com.oracle.coherence.domain; import java.io.Serializable; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Random; @SuppressWarnings("serial") public class Person implements Serializable { private String firstName; private String lastName; private List<Object> fat; private String email; public Person() { generateFat(); } public Person(String firstName, String lastName, String email) { setFirstName(firstName); setLastName(lastName); setEmail(email); generateFat(); } private void generateFat() { fat = new ArrayList<Object>(); Random random = new Random(); for (int i = 0; i < random.nextInt(18000); i++) { HashMap<Long, Double> internalFat = new HashMap<Long, Double>(); for (int j = 0; j < random.nextInt(10000); j++) { internalFat.put(random.nextLong(), random.nextDouble()); } fat.add(internalFat); } } public String getFirstName() { return firstName; } public void setFirstName(String firstName) { this.firstName = firstName; } public String getLastName() { return lastName; } public void setLastName(String lastName) { this.lastName = lastName; } public String getEmail() { return email; } public void setEmail(String email) { this.email = email; } } Now let's create a Java program that will start a data grid into Coherence and will create a cache named "People", that will hold people instances with sequential integer keys. Each person created in this program will trigger the execution of a custom constructor created in the People class that instantiates an internal fat (the random amount of data generated to increase the size of the object) for each person. Create a Java class named "CreatePeopleCacheAndPopulateWithData" as shown in the listing below. package com.oracle.coherence.demo; import com.oracle.coherence.domain.Person; import com.tangosol.net.CacheFactory; import com.tangosol.net.NamedCache; public class CreatePeopleCacheAndPopulateWithData { public static void main(String[] args) { // Asks Coherence for a new cache named "People"... NamedCache people = CacheFactory.getCache("People"); // Creates three people that will be putted into the data grid. Each person // generates an internal fat that should increase its size in terms of bytes... Person pessoa1 = new Person("Ricardo", "Ferreira", "[email protected]"); Person pessoa2 = new Person("Vitor", "Ferreira", "[email protected]"); Person pessoa3 = new Person("Vivian", "Ferreira", "[email protected]"); // Insert three people at the data grid... people.put(1, pessoa1); people.put(2, pessoa2); people.put(3, pessoa3); // Waits for 5 minutes until the user runs the Java program // that calculates the total size of the people cache... try { System.out.println("---> Waiting for 5 minutes for the cache size calculation..."); Thread.sleep(300000); } catch (InterruptedException ie) { ie.printStackTrace(); } } } Finally, let's create a Java program that, using the Coherence API and JMX, will calculate the total size of each cache that the data grid is currently managing. The approach used in this example was retrieve every cache that the data grid are currently managing, but if you are interested on an specific cache, the same approach can be used, you should only filter witch cache will be looked for. Create a Java class named "CalculateTheSizeOfPeopleCache" as shown in the listing below. package com.oracle.coherence.demo; import java.text.DecimalFormat; import java.util.Map; import java.util.Set; import java.util.TreeMap; import javax.management.MBeanServer; import javax.management.MBeanServerFactory; import javax.management.ObjectName; import com.tangosol.net.CacheFactory; public class CalculateTheSizeOfPeopleCache { @SuppressWarnings({ "unchecked", "rawtypes" }) private void run() throws Exception { // Enable JMX support in this Coherence data grid session... System.setProperty("tangosol.coherence.management", "all"); // Create a sample cache just to access the data grid... CacheFactory.getCache(MBeanServerFactory.class.getName()); // Gets the JMX server from Coherence data grid... MBeanServer jmxServer = getJMXServer(); // Creates a internal data structure that would maintain // the statistics from each cache in the data grid... Map cacheList = new TreeMap(); Set jmxObjectList = jmxServer.queryNames(new ObjectName("Coherence:type=Cache,*"), null); for (Object jmxObject : jmxObjectList) { ObjectName jmxObjectName = (ObjectName) jmxObject; String cacheName = jmxObjectName.getKeyProperty("name"); if (cacheName.equals(MBeanServerFactory.class.getName())) { continue; } else { cacheList.put(cacheName, new Statistics(cacheName)); } } // Updates the internal data structure with statistic data // retrieved from caches inside the in-memory data grid... Set<String> cacheNames = cacheList.keySet(); for (String cacheName : cacheNames) { Set resultSet = jmxServer.queryNames( new ObjectName("Coherence:type=Cache,name=" + cacheName + ",*"), null); for (Object resultSetRef : resultSet) { ObjectName objectName = (ObjectName) resultSetRef; if (objectName.getKeyProperty("tier").equals("back")) { int unit = (Integer) jmxServer.getAttribute(objectName, "Units"); int size = (Integer) jmxServer.getAttribute(objectName, "Size"); Statistics statistics = (Statistics) cacheList.get(cacheName); statistics.incrementUnit(unit); statistics.incrementSize(size); cacheList.put(cacheName, statistics); } } } // Finally... print the objects from the internal data // structure that represents the statistics from caches... cacheNames = cacheList.keySet(); for (String cacheName : cacheNames) { Statistics estatisticas = (Statistics) cacheList.get(cacheName); System.out.println(estatisticas); } } public MBeanServer getJMXServer() { MBeanServer jmxServer = null; for (Object jmxServerRef : MBeanServerFactory.findMBeanServer(null)) { jmxServer = (MBeanServer) jmxServerRef; if (jmxServer.getDefaultDomain().equals(DEFAULT_DOMAIN) || DEFAULT_DOMAIN.length() == 0) { break; } jmxServer = null; } if (jmxServer == null) { jmxServer = MBeanServerFactory.createMBeanServer(DEFAULT_DOMAIN); } return jmxServer; } private class Statistics { private long unit; private long size; private String cacheName; public Statistics(String cacheName) { this.cacheName = cacheName; } public void incrementUnit(long unit) { this.unit += unit; } public void incrementSize(long size) { this.size += size; } public long getUnit() { return unit; } public long getSize() { return size; } public double getUnitInMB() { return unit / (1024.0 * 1024.0); } public double getAverageSize() { return size == 0 ? 0 : unit / size; } public String toString() { StringBuffer sb = new StringBuffer(); sb.append("\nCache Statistics of '").append(cacheName).append("':\n"); sb.append(" - Total Entries of Cache -----> " + getSize()).append("\n"); sb.append(" - Used Memory (Bytes) --------> " + getUnit()).append("\n"); sb.append(" - Used Memory (MB) -----------> " + FORMAT.format(getUnitInMB())).append("\n"); sb.append(" - Object Average Size --------> " + FORMAT.format(getAverageSize())).append("\n"); return sb.toString(); } } public static void main(String[] args) throws Exception { new CalculateTheSizeOfPeopleCache().run(); } public static final DecimalFormat FORMAT = new DecimalFormat("###.###"); public static final String DEFAULT_DOMAIN = ""; public static final String DOMAIN_NAME = "Coherence"; } I've commented the overall example so, I don't think that you should get into trouble to understand it. Basically we are dealing with JMX. The first thing to do is enable JMX support for the Coherence client (ie, an JVM that will only retrieve values from the data grid and will not integrate the cluster) application. This can be done very easily using the runtime "tangosol.coherence.management" system property. Consult the Coherence documentation for JMX to understand the possible values that could be applied. The program creates an in memory data structure that holds a custom class created called "Statistics". This class represents the information that we are interested to see, which in this case are the size in bytes and in MB of the caches. An instance of this class is created for each cache that are currently managed by the data grid. Using JMX specific methods, we retrieve the information that are relevant for calculate the total size of the caches. To test this example, you should execute first the CreatePeopleCacheAndPopulateWithData.java program and after the CreatePeopleCacheAndPopulateWithData.java program. The results in the console should be something like this: 2012-06-23 13:29:31.188/4.970 Oracle Coherence 3.6.0.4 <Info> (thread=Main Thread, member=n/a): Loaded operational configuration from "jar:file:/E:/Oracle/Middleware/oepe_11gR1PS4/workspace/calcular-tamanho-cache-coherence/lib/coherence.jar!/tangosol-coherence.xml" 2012-06-23 13:29:31.219/5.001 Oracle Coherence 3.6.0.4 <Info> (thread=Main Thread, member=n/a): Loaded operational overrides from "jar:file:/E:/Oracle/Middleware/oepe_11gR1PS4/workspace/calcular-tamanho-cache-coherence/lib/coherence.jar!/tangosol-coherence-override-dev.xml" 2012-06-23 13:29:31.219/5.001 Oracle Coherence 3.6.0.4 <D5> (thread=Main Thread, member=n/a): Optional configuration override "/tangosol-coherence-override.xml" is not specified 2012-06-23 13:29:31.266/5.048 Oracle Coherence 3.6.0.4 <D5> (thread=Main Thread, member=n/a): Optional configuration override "/custom-mbeans.xml" is not specified Oracle Coherence Version 3.6.0.4 Build 19111 Grid Edition: Development mode Copyright (c) 2000, 2010, Oracle and/or its affiliates. All rights reserved. 2012-06-23 13:29:33.156/6.938 Oracle Coherence GE 3.6.0.4 <Info> (thread=Main Thread, member=n/a): Loaded Reporter configuration from "jar:file:/E:/Oracle/Middleware/oepe_11gR1PS4/workspace/calcular-tamanho-cache-coherence/lib/coherence.jar!/reports/report-group.xml" 2012-06-23 13:29:33.500/7.282 Oracle Coherence GE 3.6.0.4 <Info> (thread=Main Thread, member=n/a): Loaded cache configuration from "jar:file:/E:/Oracle/Middleware/oepe_11gR1PS4/workspace/calcular-tamanho-cache-coherence/lib/coherence.jar!/coherence-cache-config.xml" 2012-06-23 13:29:35.391/9.173 Oracle Coherence GE 3.6.0.4 <D4> (thread=Main Thread, member=n/a): TCMP bound to /192.168.177.133:8090 using SystemSocketProvider 2012-06-23 13:29:37.062/10.844 Oracle Coherence GE 3.6.0.4 <Info> (thread=Cluster, member=n/a): This Member(Id=2, Timestamp=2012-06-23 13:29:36.899, Address=192.168.177.133:8090, MachineId=55685, Location=process:244, Role=Oracle, Edition=Grid Edition, Mode=Development, CpuCount=2, SocketCount=2) joined cluster "cluster:0xC4DB" with senior Member(Id=1, Timestamp=2012-06-23 13:29:14.031, Address=192.168.177.133:8088, MachineId=55685, Location=process:1128, Role=CreatePeopleCacheAndPopulateWith, Edition=Grid Edition, Mode=Development, CpuCount=2, SocketCount=2) 2012-06-23 13:29:37.172/10.954 Oracle Coherence GE 3.6.0.4 <D5> (thread=Cluster, member=n/a): Member 1 joined Service Cluster with senior member 1 2012-06-23 13:29:37.188/10.970 Oracle Coherence GE 3.6.0.4 <D5> (thread=Cluster, member=n/a): Member 1 joined Service Management with senior member 1 2012-06-23 13:29:37.188/10.970 Oracle Coherence GE 3.6.0.4 <D5> (thread=Cluster, member=n/a): Member 1 joined Service DistributedCache with senior member 1 2012-06-23 13:29:37.188/10.970 Oracle Coherence GE 3.6.0.4 <Info> (thread=Main Thread, member=n/a): Started cluster Name=cluster:0xC4DB Group{Address=224.3.6.0, Port=36000, TTL=4} MasterMemberSet ( ThisMember=Member(Id=2, Timestamp=2012-06-23 13:29:36.899, Address=192.168.177.133:8090, MachineId=55685, Location=process:244, Role=Oracle) OldestMember=Member(Id=1, Timestamp=2012-06-23 13:29:14.031, Address=192.168.177.133:8088, MachineId=55685, Location=process:1128, Role=CreatePeopleCacheAndPopulateWith) ActualMemberSet=MemberSet(Size=2, BitSetCount=2 Member(Id=1, Timestamp=2012-06-23 13:29:14.031, Address=192.168.177.133:8088, MachineId=55685, Location=process:1128, Role=CreatePeopleCacheAndPopulateWith) Member(Id=2, Timestamp=2012-06-23 13:29:36.899, Address=192.168.177.133:8090, MachineId=55685, Location=process:244, Role=Oracle) ) RecycleMillis=1200000 RecycleSet=MemberSet(Size=0, BitSetCount=0 ) ) TcpRing{Connections=[1]} IpMonitor{AddressListSize=0} 2012-06-23 13:29:37.891/11.673 Oracle Coherence GE 3.6.0.4 <D5> (thread=Invocation:Management, member=2): Service Management joined the cluster with senior service member 1 2012-06-23 13:29:39.203/12.985 Oracle Coherence GE 3.6.0.4 <D5> (thread=DistributedCache, member=2): Service DistributedCache joined the cluster with senior service member 1 2012-06-23 13:29:39.297/13.079 Oracle Coherence GE 3.6.0.4 <D4> (thread=DistributedCache, member=2): Asking member 1 for 128 primary partitions Cache Statistics of 'People': - Total Entries of Cache -----> 3 - Used Memory (Bytes) --------> 883920 - Used Memory (MB) -----------> 0.843 - Object Average Size --------> 294640 I hope that this post could save you some time when calculate the total size of Coherence cache became a requirement for your high scalable system using data grids. See you!

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  • How to add new filters to CAML queries in SharePoint 2007

    - by uruit
      Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} One flexibility SharePoint has is CAML (Collaborative Application Markup Language). CAML it’s a markup language like html that allows developers to do queries against SharePoint lists, it’s syntax is very easy to understand and it allows to add logical conditions like Where, Contains, And, Or, etc, just like a SQL Query. For one of our projects we have the need to do a filter on SharePoint views, the problem here is that the view it’s a list containing a CAML Query with the filters the view may have, so in order to filter the view that’s already been filtered before, we need to append our filters to the existing CAML Query. That’s not a trivial task because the where statement in a CAML Query it’s like this: <Where>   <And>     <Filter1 />     <Filter2 />   </And> </Where> If we want to add a new logical operator, like an OR it’s not just as simple as to append the OR expression like the following example: <Where>   <And>     <Filter1 />     <Filter2 />   </And>   <Or>     <Filter3 />   </Or> </Where> But instead the correct query would be: <Where>   <Or>     <And>       <Filter1 />       <Filter2 />     </And>     <Filter3 />   </Or> </Where> Notice that the <Filter# /> tags are for explanation purpose only. In order to solve this problem we created a simple component, it has a method that receives the current query (could be an empty query also) and appends the expression you want to that query. Example: string currentQuery = @“ <Where>    <And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>     <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>   </And> </Where>”; currentQuery = CAMLQueryBuilder.AppendQuery(     currentQuery,     “<Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>”,     CAMLQueryBuilder.Operators.Or); The fist parameter this function receives it’s the actual query, the second it’s the filter you want to add, and the third it’s the logical operator, so basically in this query we want all the items that the title contains: the character A and B or the ones that contains the character C. The result query is: <Where>   <Or>      <And>       <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>       <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>     </And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>   </Or> </Where>             The code:   First of all we have an enumerator inside the CAMLQueryBuilder class that has the two possible Options And, Or. public enum Operators { And, Or }   Then we have the main method that’s the one that performs the append of the filters. public static string AppendQuery(string containerQuery, string logicalExpression, Operators logicalOperator){   In this method the first we do is create a new XmlDocument and wrap the current query (that may be empty) with a “<Query></Query>” tag, because the query that comes with the view doesn’t have a root element and the XmlDocument must be a well formatted xml.   XmlDocument queryDoc = new XmlDocument(); queryDoc.LoadXml("<Query>" + containerQuery + "</Query>");   The next step is to create a new XmlDocument containing the logical expression that has the filter needed.   XmlDocument logicalExpressionDoc = new XmlDocument(); logicalExpressionDoc.LoadXml("<root>" + logicalExpression + "</root>"); In these next four lines we extract the expression from the recently created XmlDocument and create an XmlElement.                  XmlElement expressionElTemp = (XmlElement)logicalExpressionDoc.SelectSingleNode("/root/*"); XmlElement expressionEl = queryDoc.CreateElement(expressionElTemp.Name); expressionEl.InnerXml = expressionElTemp.InnerXml;   Below are the main steps in the component logic. The first “if” checks if the actual query doesn’t contains a “Where” clause. In case there’s no “Where” we add it and append the expression.   In case that there’s already a “Where” clause, we get the entire statement that’s inside the “Where” and reorder the query removing and appending elements to form the correct query, that will finally filter the list.   XmlElement whereEl; if (!containerQuery.Contains("Where")) { queryDoc.FirstChild.AppendChild(queryDoc.CreateElement("Where")); queryDoc.SelectSingleNode("/Query/Where").AppendChild(expressionEl); } else { whereEl = (XmlElement)queryDoc.SelectSingleNode("/Query/Where"); if (!containerQuery.Contains("<And>") &&                 !containerQuery.Contains("<Or>"))        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingExpression = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*"); whereEl.RemoveChild(existingExpression);                 operatorEl.AppendChild(existingExpression);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);        }        else        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingOperator = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*");                 whereEl.RemoveChild(existingOperator);               operatorEl.AppendChild(existingOperator);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);         }  }  return queryDoc.FirstChild.InnerXml }     Finally the GetName method converts the Enum option to his string equivalent.   private static string GetName(Operators logicalOperator) {       return Enum.GetName(typeof(Operators), logicalOperator); }        This component helped our team a lot using SharePoint 2007 and modifying the queries, but now in SharePoint 2010; that wouldn’t be needed because of the incorporation of LINQ to SharePoint. This new feature enables the developers to do typed queries against SharePoint lists without the need of writing any CAML code.   Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} Post written by Sebastian Rodriguez - Portals and Collaboration Solutions @ UruIT  

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  • How to add new filters to CAML queries in SharePoint 2007

    - by uruit
    Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} One flexibility SharePoint has is CAML (Collaborative Application Markup Language). CAML it’s a markup language like html that allows developers to do queries against SharePoint lists, it’s syntax is very easy to understand and it allows to add logical conditions like Where, Contains, And, Or, etc, just like a SQL Query. For one of our projects we have the need to do a filter on SharePoint views, the problem here is that the view it’s a list containing a CAML Query with the filters the view may have, so in order to filter the view that’s already been filtered before, we need to append our filters to the existing CAML Query. That’s not a trivial task because the where statement in a CAML Query it’s like this: <Where>   <And>     <Filter1 />     <Filter2 />   </And> </Where> If we want to add a new logical operator, like an OR it’s not just as simple as to append the OR expression like the following example: <Where>   <And>     <Filter1 />     <Filter2 />   </And>   <Or>     <Filter3 />   </Or> </Where> But instead the correct query would be: <Where>   <Or>     <And>       <Filter1 />       <Filter2 />     </And>     <Filter3 />   </Or> </Where> Notice that the <Filter# /> tags are for explanation purpose only. In order to solve this problem we created a simple component, it has a method that receives the current query (could be an empty query also) and appends the expression you want to that query. Example: string currentQuery = @“ <Where>    <And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>     <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>   </And> </Where>”; currentQuery = CAMLQueryBuilder.AppendQuery(     currentQuery,     “<Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>”,     CAMLQueryBuilder.Operators.Or); The fist parameter this function receives it’s the actual query, the second it’s the filter you want to add, and the third it’s the logical operator, so basically in this query we want all the items that the title contains: the character A and B or the ones that contains the character C. The result query is: <Where>   <Or>      <And>       <Contains><FieldRef Name='Title' /><Value Type='Text'>A</Value></Contains>       <Contains><FieldRef Name='Title' /><Value Type='Text'>B</Value></Contains>     </And>     <Contains><FieldRef Name='Title' /><Value Type='Text'>C</Value></Contains>   </Or> </Where>     The code:   First of all we have an enumerator inside the CAMLQueryBuilder class that has the two possible Options And, Or. public enum Operators { And, Or }   Then we have the main method that’s the one that performs the append of the filters. public static string AppendQuery(string containerQuery, string logicalExpression, Operators logicalOperator){   In this method the first we do is create a new XmlDocument and wrap the current query (that may be empty) with a “<Query></Query>” tag, because the query that comes with the view doesn’t have a root element and the XmlDocument must be a well formatted xml.   XmlDocument queryDoc = new XmlDocument(); queryDoc.LoadXml("<Query>" + containerQuery + "</Query>");   The next step is to create a new XmlDocument containing the logical expression that has the filter needed.   XmlDocument logicalExpressionDoc = new XmlDocument(); logicalExpressionDoc.LoadXml("<root>" + logicalExpression + "</root>"); In these next four lines we extract the expression from the recently created XmlDocument and create an XmlElement.                  XmlElement expressionElTemp = (XmlElement)logicalExpressionDoc.SelectSingleNode("/root/*"); XmlElement expressionEl = queryDoc.CreateElement(expressionElTemp.Name); expressionEl.InnerXml = expressionElTemp.InnerXml;   Below are the main steps in the component logic. The first “if” checks if the actual query doesn’t contains a “Where” clause. In case there’s no “Where” we add it and append the expression.   In case that there’s already a “Where” clause, we get the entire statement that’s inside the “Where” and reorder the query removing and appending elements to form the correct query, that will finally filter the list.   XmlElement whereEl; if (!containerQuery.Contains("Where")) { queryDoc.FirstChild.AppendChild(queryDoc.CreateElement("Where")); queryDoc.SelectSingleNode("/Query/Where").AppendChild(expressionEl); } else { whereEl = (XmlElement)queryDoc.SelectSingleNode("/Query/Where"); if (!containerQuery.Contains("<And>") &&                 !containerQuery.Contains("<Or>"))        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingExpression = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*"); whereEl.RemoveChild(existingExpression);                 operatorEl.AppendChild(existingExpression);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);        }        else        {              XmlElement operatorEl = queryDoc.CreateElement(GetName(logicalOperator)); XmlElement existingOperator = (XmlElement)whereEl.SelectSingleNode("/Query/Where/*");                 whereEl.RemoveChild(existingOperator);               operatorEl.AppendChild(existingOperator);               operatorEl.AppendChild(expressionEl);                 whereEl.AppendChild(operatorEl);         }  }  return queryDoc.FirstChild.InnerXml }     Finally the GetName method converts the Enum option to his string equivalent.   private static string GetName(Operators logicalOperator) {       return Enum.GetName(typeof(Operators), logicalOperator); }        Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This component helped our team a lot using SharePoint 2007 and modifying the queries, but now in SharePoint 2010; that wouldn’t be needed because of the incorporation of LINQ to SharePoint. This new feature enables the developers to do typed queries against SharePoint lists without the need of writing any CAML code.  But there is still much development to the 2007 version, so I hope this information is useful for other members.  Post Normal 0 21 false false false ES-UY X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} written by Sebastian Rodriguez - Portals and Collaboration Solutions @ UruIT

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  • Migrating from "partial" Exchange 2003 to full Exchange 2003 usability

    - by TheCleaner
    I have a client that is using Exchange 2003 on SBS 2003 R2, but only for calendar sharing and contacts sharing. Their email is still coming to their clients via a POP3 account on each client's Outlook. I'd like to move them over to using Exchange for both email and the other things they are utilizing it for now. Can you folks guide me in the right direction? The setup: external domain is akin to domain.com (and is where they get their POP3 email from now) internal domain is akin to domain.local only simple hardware firewall (no ISA) static external IP is available to use My "assumptions": Setup SMTP default connector in Exchange for their existing external domain Have their existing email backed up to PST files (just in case) Setup the new MX records to point domain.com to the static external IP I'm a little confused how I'm going to setup their existing Exchange accounts with the proper SMTP address though. Right now it is just [email protected]. Do I just need to modify or create a new recipient policy? Are there other steps involved that I'm missing? Anyone with a walkthrough or even a basic "steps" is fine. I'm fairly used to Exchange 03, but I've been on Exchange 07 for a while now so going back is the weird part...plus I don't know what issues Exchange 03 on SBS has versus the normal "version". Thanks for all the help!

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  • Looking for a help desk ticketing system..

    - by Dan
    Hi guys Im looking for a good help desk ticket solution. It must perform the following actions for it to be useful. It needs to have a single point of contact via email..e.g [email protected] If we recieve a telephone(or an email outside of the system) we need to be able to create a ticket as if had been added via the single point of contact, this needs to be done with ease in order to save time. Certain people within our organisation deal with certain customers, so if the email/ custom input support call as mentioned in bullet 2 is picked up as having a relationship with that certain person in our organisation it needs to be sent to them/put in their queue for them to work on. If a person is out of office or sick any tickets sent to them must be forwarded to somebody else or put into a seperate pool of tickets that anybody can access. Perhaps have an agent that sorts through tickets in the pool and assigns them to anybody who is available, preferably the person with fewest tickets in their queue/list. Once a customer emails and the system logs it they immediately get a response with a ticket number and maybe details of who is dealing with the problem. Any correspondance in relation to a particular ticket is automatically grouped into some sort of message, and not made into a load of separate tickets. I.e system scans incoming email subjects for ticket numbers and assosciates it with exisiting tickets if that number exists. Any help is much appreciated Thanks P.S I have taken a look at OTRS but i'm not feeling it so unless someone can convince me I guess i'm after an alternative.

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  • How to fix a Postfix/MySQL/Dovecot Unknown Host Issue?

    - by thiesdiggity
    I am having an issue with one of my Postfix/Dovecot mail servers and I'm unsure how to fix the problem. I will try to explain it in detail, here it goes: I have an Ubuntu server setup using Virtual hosting with Postfix, Dovecot and MySQL. We have one domain setup as a virtual domain, for this example I am going to use mail.example.com. Under that domain we have one email address. I have another server (MS Exchange) setup using another one of my sub-domains, ex.example.com. The problem is that when I SMTP into the account on mail.example.com and try to send an email to an account on ex.example.com, I get the email returned back to us with an "unknown host" error. Now, I know that the mail.example.com server can resolve the ex.example.com domain because I can ping/dig while SSH'd into it. I can also log into Postfix via Telnet and send an email to an ex.example.com mailbox. I'm guessing that it has something to do with Postfix/Dovecot looking locally for the domain in the virtual domain list because of the tld domain (example.com)? If that's the case, how do I get Postfix/Dovecot to only look locally for the entire URL (mail.example.com) and if it doesn't find it, send it to the correct server by looking up the MX/A records (which I know exist and are setup correctly)? I have been working on this all day and any guidance would be GREATLY appreciated! Thanks for your time!

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  • Sender's Sendmail says "stat=Sent" but recipent doesn't receive the message

    - by user44774
    Guys, I am trying to figure out why sendmail is saying that it sends out an email but I actually never get it. This is from the logs when the email is being sent out: I have replaced the email address with some fake address and I have also replaced the name of the server with a fake hostname. The most significant point of this information from the logs is that it shows that the "Message was accepted for delivery". Do you guys have any suggestions as to why it seems like the message goes out but I never get the actual email? Jun 2 14:34:40 server sendmail[9668]: o52IYeSi009668: --- 250 2.0.0 o52IYeSi009668 Message accepted for delivery Jun 2 14:34:40 server sendmail[9667]: o52IYe9I009667: [email protected], ctladdr=rick (500/500), delay=00:00:00, xdelay=00:00:00, mailer=relay, pri=30058, relay=[127.0.0.1] [127.0.0.1], dsn=2.0.0, stat=Sent (o52IYeSi009668 Message accepted for delivery) Jun 2 14:34:40 server sendmail[9668]: o52IYeSj009668: <-- QUIT Jun 2 14:34:40 server sendmail[9668]: o52IYeSj009668: --- 221 2.0.0 server.server.com closing connection Jun 2 14:34:41 server sendmail[9670]: o52IYeSi009668: SMTP outgoing connect on [192.168.1.9] Jun 2 14:34:41 server sendmail[9670]: o52IYeSi009668: to=<[email protected]>, ctladdr=<[email protected]> (500/500), delay=00:00:01, xdelay=00:00:01, mailer=relay, pri=120368, relay=mailhost.worldnet.att.net. [207.115.11.17], dsn=5.1.1, stat=User unknown Jun 2 14:34:42 server sendmail[9670]: o52IYeSi009668: o52IYgSi009670: DSN: User unknown Jun 2 14:34:42 server sendmail[9670]: o52IYgSi009670: to=<[email protected]>, **delay=00:00:00, xdelay=00:00:00, mailer=local, pri=31625, dsn=2.0.0,** ***stat=Sent*****

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  • maillog "No route to host" error

    - by Sherwood Hu
    I have a CentOS server. It has sendmail installed but not used for a mail server. I forwarded the root email to another email address. However, I keep getting errors in maillog: Dec 6 08:49:16 server1 sm-msp-queue[16191]: qB6601et005433: to=root, ctladdr=root (0/0), delay=08:49:15, xdelay=00:00:00, mailer=relay, pri=883224, relay=[127.0.0.1], dsn=4.0.0, stat=Deferred: [127.0.0.1]: No route to host Dec 6 08:49:16 server1 sendmail[16190]: qB39nDfQ014062: to=<[email protected]>, delay=3+05:00:02, xdelay=00:00:00, mailer=esmtp, pri=6965048, relay=subdomain.example.com., dsn=4.0.0, stat=Deferred: subdomain.example.com.: No route to host Dec 6 08:49:16 server1 sendmail[16190]: qB39nDfR014062: to=<[email protected]>, delay=3+05:00:02, xdelay=00:00:00, mailer=esmtp, pri=7004959, relay=subdomain.example.com., dsn=4.0.0, stat=Deferred: subdomain.example.com.: No route to host In the forwarded email address, I received notification "it can't deliver email to [email protected]. subdoamin.example.com does have a MX record, and I do not want to add one. Is there any configuration that I can change to prevent this error? I want all emails to the root to be forwarded to the forward address.

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  • Emails going to Junk for Hotmail recipients

    - by David George
    We send daily mass emails to our customers (~30,000+ emails per day). We have problems with Hotmail users receiving our emails. Sometimes the email goes to the Junk folder, but often it will got to their inbox, but the content is blocked so the user sees a message saying "This email was blocked and may be dangerous". If an email is sent to GMAIL it is usually not blocked, but it does show up as from "Uknown" instead of the company. Please be advised I've done the following: 1. No RBLs Checked on - http://multirbl.valli.org/ 2. We do have SPF records published 3. We do have reverse DNS setup 4. Our company even signed up for the Junk Mail Reports Program at Hotmail Here is a sample header, I've noticed the X-SID-Result and the X-AUTH-Result both FAIL every time at Hotmail: X-Message-Delivery: Vj0xLjE7dXM9MDtsPTA7YT0wO0Q9MTtTQ0w9MQ== X-Message-Status: n:0 X-SID-Result: Fail X-AUTH-Result: FAIL X-Message-Info: JGTYoYF78jFqAaC29fBlDlD/ZI36+S6WoFmkQN10UxWFe1xLHhP+rDthGRZM87uHYM926hUBS+s0q46Yx9y6jdurhN6fx0bK Received: from privatecompany.com ([WanIPAddress]) by col0-mc3-f30.Col0.hotmail.com with Microsoft SMTPSVC(6.0.3790.4675); Wed, 5 May 2010 08:41:27 -0700 X-AuditID: ac10fe93-000013bc00000534-46-4be191a1618e Received: from INTERNAL-Email-SERVER([InternalIPAddress]) by privatecompany.com with Microsoft SMTPSVC(6.0.3790.4675); Wed, 5 May 2010 11:41:21 -0400 From: Private Company, Inc.<[email protected]> To: [email protected] Message-Id: <[email protected]> Subject: Date: Wed, 5 May 2010 11:42:46 -0400 MIME-Version: 1.0 Reply-To: [email protected] Content-Type: text/plain; charset="ISO-8859-1" Content-Transfer-Encoding: 8bit X-Brightmail-Tracker: AAAAAA== Return-Path: [email protected] X-OriginalArrivalTime: 05 May 2010 15:41:27.0837 (UTC) FILETIME=[6D06E4D0:01CAEC69]

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  • exim4 to relay emails

    - by Matthieu
    I have exim4 installed on a Linux box. The basics work fine and I can send email from that machine without any problem to whatever email address. I also have a printer/scanner which is capable to send scans as emails. It needs an SMTP gateway to be able to do that. So I give the IP address of that Linux box, changed the configuration a little bit but still cannot get it to work. After I run dpkg-reconfigure exim4-config, here is what I get in /etc/exim4/update-exim4.conf.conf : dc_eximconfig_configtype='internet' dc_other_hostnames='' dc_local_interfaces='127.0.0.1;192.168.2.2' dc_readhost='' dc_relay_domains='mycompanyemail.com' dc_minimaldns='false' dc_relay_nets='192.168.2.0/24' dc_smarthost='' CFILEMODE='644' dc_use_split_config='false' dc_hide_mailname='' dc_mailname_in_oh='true' dc_localdelivery='mail_spool' My problem is that with this configuration, I can only send to emails @mycompanyemail.com... It says I can use wildcard, but when I do that, the '*' is replaced by whatever filename is in the directory where I run all that. How can I configure it to be able to send emails with any domain ? Or am I doing it wrong ? EDIT : here is the part of the log that's causing trouble : 2011-08-03 16:28:18 H=(NPI2D389C) [192.168.2.20] F=<[email protected]> rejected RCPT <[email protected]>: relay not permitted The first part ([email protected]) does not matter. I changed the email address. The point is that if this email is @mycompanyemail.com then everything works fine. Anything else does not work. I could add gmail.com, but I am looking to have any domain working...

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  • Need to get SMTP server on MS Server 2003

    - by Matt Dawdy
    Long story short, client paid networking company to move their website in house. Now I have to figure out how to email out from their website even though they don't have an SMTP server. At least until I install one. Their email is hosted with Gmail right now (the client's domain through Google App for Your Domain). I changed my code to connect as one of their users "[email protected]" and send email. Worked great for about 12 hours. All of a sudden none of the automated emails are going out now, and google is sending the emails back saying that it is a permanent failure and Message Rejected. The link they direct me to, http://mail.google.com/support/bin/answer.py?answer=69585 is telling me that our emails look like spam. They aren't. They are emails we send to out clients about the status of their applications. Seriously, they are NOT spam. So...long story short is out the window, sorry...but I need to get an SMTP server setup inside their domain that I can send emails out of. This thing won't need to receive emails ever, and really only needs 1 email account customercare. What can I do? Will I have to have the networking company open a port in the firewall? Is there one built into Server 2003?

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  • Which server software and configuration to retrieve from multiple POP servers, routing by address to correct user

    - by rolinger
    I am setting up a small email server on a Debian machine, which needs to pick up mail from a variety of POP servers and figure out who to send it to from the address, but I'm not clear what software will do what I need, although it seems like a very simple question! For example, I have 2 users, Alice and Bob. Any email to [email protected] ([email protected] etc) should go to Alice, all other mail to domain.example.com should go to Bob. Any email to [email protected] should go to Bob, and [email protected] should go to Alice Anything to *@bobs.place.com should go to Bob And so on... The idea is to pull together a load of mail addresses that have built up over the years and present them all as a single mailbox for Bob and another one for Alice. I'm expecting something like Postfix + Dovecot + Amavis + Spamassassin + Squirrelmail to fit the bill, but I'm not sure where the above comes in, can Postfix deal with it as a set of defined regular expressions, or is it a job for Amavis, or something else entirely? Do I need fetchmail in this mix, or is its role now included in one of the other components above. I think of it as content-filtering, but everything I read about content-filtering is focussed on detecting spam rather than routing email.

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  • Monitoring outgoing messages using EXIM

    - by dashmug
    I work as an IT guy in a law firm. I am recently asked to make a system wherein all the outgoing emails coming from our server to our clients will be put on hold first and wait for approval before it gets sent to the client. Our mail server uses Exim (that's what it says in cPanel). I am planning to create filters where the outgoing emails will be forwarded to an editor account. Then, the editor will review and edit the contents of the email. When the editor already approves the email, it will then get sent to the client by the editor but still using the original sender in the "From:" and "Reply-To:" field. I found some pointers from this site = http://www.devco.net/archives/2006/03/24/saving_copies_of_all_email_using_exim.php. Once the filters are in place, I want to make a simple PHP interface for the editor to check the forwarded emails and edit them if necessary. The editor can then click on an "Approve" button that will finally deliver the message using the original sender. I'm also thinking that maybe a PHP-less system will be enough. The editor can receive the emails from his own email client edit them and simply send the email as if he is the original sender. Is my plan feasible? Will there be issues that I have overlooked? Does it have the danger of being treated as spam by the other mailservers since I'll be messing up the headers?

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  • Microsoft , Hotmail , Live , MSN, Outlook , unable to send emails and no support received from microsoft in 3 months we are trying asking for that

    - by bombastic
    Ok this is somenthing unbelievable, we have a website, users sign up and receives links to confirm they signed up BUT: 1 - microsoft blocked our IP (no one with microsoft email account can receive our emails) 2 - we tryed contacting microsoft submitting the detailed form about our problem 3 - we posted 3 times in their community about our problem 4 - we tweeted they about our problem 5 - we tryed finding out some telephone support number (the few there are arent' helping at all) Do you think we solved? the answer is NO :/ We still unable to send emails from our IP to microsoft email accounts, since 3 months back. Our emails are perfect we checked all the email headers following microsoft guidelines but it seems not enought, checking our IP reputation it seems everythings ok, indeed we can send email easly to any other provider , gmail, yahoo, etc Do you know any other way to try to get help ? FULL STACK ERROR FROM MICROSOFT: host mx1.hotmail.com[65.55.37.120] said: 550 SC-001 (COL0-MC4-F28) Unfortunately, messages from 94.23.***** weren't sent. Please contact your Internet service provider since part of their network is on our block list. You can also refer your provider to http://mail.live.com/mail/troubleshooting.aspx#errors. (in reply to MAIL FROM command) We are running a Virtual Private Server , so no HOSTING SITE, using NGINX too

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  • In spite of correct DNS, Exchange sending to wrong destination server for single outbound domain

    - by beporter
    My company uses an SBS 2003 server and makes use of Exchange to host our own email. We also have a linux server hosting domains for some of our clients. In order for us to send to those clients, we had internal DNS set up to shadow the client domains to provide "correct" MX records inside our network. For example, public DNS for a domain abc.com might point to 1.2.3.4, but internally we have MX records set up to route mail for abc.com to 172.16.0.4, which is the linux email server. This setup was entirely functional; this is just back story. We've recently moved one of our client domains from our internal linux server to an external email provider. When we did that, we naturally deleted our internal shadow DNS records so our Exchange server would fetch correct (public) DNS records and route mail out to the new external host. This has NOT had any effect on Exchange though. Even after rebooting the Exchange server and completely flushing the DNS cache (nslookups on the Exchange machine itself correctly resolve to the new external address) Exchange still attempts to deliver messages for the domain to our internal server! Exchange correctly routes to all other internal and external domains when sending email. Somehow Exchange is trying to deliver to a machine that by all accounts it has no business trying to use for just this one domain. Is there a DNS cache that Exchange uses internally? Is there a way to flush that internal cache? What else could I be missing?

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  • Dovecot unable to perform mysql query

    - by NathanJ2012
    I have been following the ISPMail tutorials on workaround.org (the 2.9 Wheezy version) and thus far everything has been working fine. When I reached the step to "Testing email delivery" step I noticed a error about the query in the output log from /var/log/mail.log. May 14 06:48:59 mail postfix/pickup[17704]: EA4AD240A98: uid=0 from=<root> May 14 06:48:59 mail postfix/cleanup[17776]: EA4AD240A98: message-id=<[email protected]> May 14 06:48:59 mail postfix/qmgr[17706]: EA4AD240A98: from=<[email protected]>, size=429, nrcpt=1 (queue active) May 14 06:49:00 mail dovecot: auth-worker(17782): mysql(127.0.0.1): Connected to database mailserver May 14 06:49:00 mail dovecot: auth-worker(17782): Warning: mysql: Query failed, retrying: Table 'mailserver.users' doesn't exist May 14 06:49:00 mail dovecot: auth-worker(17782): Error: sql([email protected]): User query failed: Table 'mailserver.users' doesn't exist (using built-in default user_query: SELECT home, uid, gid FROM users WHERE username = '%n' AND domain = '%d') May 14 06:49:00 mail dovecot: lda([email protected]): msgid=<[email protected]>: saved mail to INBOX May 14 06:49:00 mail postfix/pipe[17780]: EA4AD240A98: to=<[email protected]>, relay=dovecot, delay=0.09, delays=0.03/0.01/0/0.06, dsn=2.0.0, status=sent (delivered via dovecot service) May 14 06:49:00 mail postfix/qmgr[17706]: EA4AD240A98: removed I found this rather interesting that it isn't finding the DB so I went back through and checked EVERY file that I touched that involved the DB (including the postfix cf files) and everything is correct so I am baffled at this point, but oddly enough it would seem the email still made it to the correct destination in /var/vmail/domain.com/. Should I be worried about this or am I missing something here? Since it is a message from dovecot it would be the query from dovecot-sql.conf.ext which I am including here driver = mysql connect = host=127.0.0.1 dbname=mailserver user=blocked password=***REMOVED*** default_pass_scheme = PLAIN-MD5 password_query = SELECT email as user, password FROM virtual_users WHERE email='%u';

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  • Sending Mail from Web App to Google Apps won't work - internal routing? VPS

    - by Charlino
    I've got a web application, www.mysuperwebapp.com, which sends out emails for various reasons - the contact us page is a good example. I am using google apps on the domain and I've setup a google apps group, Support ([email protected]), which I want the emails from the contact us page to go to. But the emails don't seem to be sending... I thought it could be that the groups security is a little tighter than normal email, so I change the contact us email to go to [email protected] - but they still didn't appear. So I'm guessing that it has something to do with internal routing and the messages aren't leaving the server/network at all. Eg Sending an email from the mysuperwebapp.com computer to a mysuperwebapp.com email address. I put an entry into the hosts file for 123.123.123.123 mysuperwebapp.com but that doesn't seem to have helped. Also, there doesn't seem to be anything of interest in the event log. What do I need to do? Or what do I need to get my VPS hoster to do? TIA, Charles Ps. The VPS is a Windows 2008 box with IIS7 and the default SMTP (IIS6?) server. The web app is ASP.NET MVC - not that that should matter.

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