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  • How to handle added input data colums without having to maintain multiple versions of SSIS packages?

    - by GLFelger
    I’m writing to solicit ideas for a solution to an upcoming problem. The product that provides data to our ETL process currently has multiple versions. Our clients are all using some version of the product, but not all use the same version and they will not all be upgraded at the same time. As new versions of the product are rolled out, the most common change is to add new data columns. Columns being dropped or renamed may happen occasionally, but our main focus right now is how to handle new columns being added. The problem that we want to address is how to handle the data for clients who use an older version of the product. If we don’t account for the new columns in our SSIS packages, then the data in those columns for clients using an older product version will not be processed. What we want to avoid is having to maintain a separate version of the SSIS packages for each version of the product. Has anyone successfully implemented a solution for this situation?

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  • Within SSIS - Is it possible to deploy one package multiple times in the same instance and set diffe

    - by Matt
    In my environment my Dev and QA Database Instances are on the same server. I would like to deploy the same package (or different versions of the package) into SSIS and set the filter to select different rows in the Config table. Is this possible? This is SQL 2005. For the sake of this question lets say I have one variable, which is a directory path. I would like to have these variables in the table twice (with different Filters applied (Dev and QA) as below (simplified) . . . Filter / Variable Value / Variable Name Dev / c:\data\dev / FilePath QA / c:\data\qa / FilePath Do I need to apply a change within the settings of the package in SSIS or is it changed on the job step within Agent? Any help would be appreciated.

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  • XSL to show highest number of copies in catalog.xml file

    - by SANJAY RAO
    In this the catalog.xml file. I have two books who have the same inventory (i.e. 20). I want to write an XSL file that will display the highest number of copies of a book in a catalog. If there are two or more books of the same inventory then they have to be displayed. <catalog> <Book> <sku>12345</sku> <title>Beauty Secrets</title> <condition>New</condition> <current_inventory>20</current_inventory> <price>99.99</price> </Book> <Book> <sku>54321</sku> <title>Picturescapes</title> <current_inventory>20</current_inventory> <condition>New</condition> <price>50.00</price> </Book> <Book> <sku>33333</sku> <title>Tourist Perspectives</title> <condition>New</condition> <current_inventory>0</current_inventory> <price>75.00</price> </Book> <Book> <sku>10001</sku> <title>Fire in the Sky</title> <condition>Used</condition> <current_inventory>0</current_inventory> <price>10.00</price> </Book> </catalog> Below is my catalog3.xsl file which is able to display only one out of the two books: <xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform" > <xsl:variable name="max"/> <xsl:template match="/"> <html> <body> <h2>Titles of Books for which Most Copies are Available</h2> <table border="2"> <tr bgcolor="#9acd32"> <th>Title</th> <th>No of Copies</th> </tr> <xsl:apply-templates/> </table> </body> </html> </xsl:template> <xsl:template match="catalog"> <xsl:for-each select="Book"> <xsl:sort select="current_inventory" data-type="number" order="descending"/> <tr> <xsl:if test="position()= 1"> <p><xsl:value-of select="$max = "/></p> <td><xsl:value-of select="title"/></td> <td><xsl:value-of select="current_inventory"/></td> </xsl:if> </tr> </xsl:for-each> </xsl:template> </xsl:stylesheet> Could anybody correct me to achieve my goal of displaying all the copies having the same maximum inventory in the catalog. Thanks.

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  • CreationName for SSIS 2008 and adding components programmatically

    If you are building SSIS 2008 packages programmatically and adding data flow components, you will probably need to know the creation name of the component to add. I can never find a handy reference when I need one, hence this rather mundane post. See also CreationName for SSS 2005. We start with a very simple snippet for adding a component: // Add the Data Flow Task package.Executables.Add("STOCK:PipelineTask"); // Get the task host wrapper, and the Data Flow task TaskHost taskHost = package.Executables[0] as TaskHost; MainPipe dataFlowTask = (MainPipe)taskHost.InnerObject; // Add OLE-DB source component - ** This is where we need the creation name ** IDTSComponentMetaData90 componentSource = dataFlowTask.ComponentMetaDataCollection.New(); componentSource.Name = "OLEDBSource"; componentSource.ComponentClassID = "DTSAdapter.OLEDBSource.2"; So as you can see the creation name for a OLE-DB Source is DTSAdapter.OLEDBSource.2. CreationName Reference  ADO NET Destination Microsoft.SqlServer.Dts.Pipeline.ADONETDestination, Microsoft.SqlServer.ADONETDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 ADO NET Source Microsoft.SqlServer.Dts.Pipeline.DataReaderSourceAdapter, Microsoft.SqlServer.ADONETSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Aggregate DTSTransform.Aggregate.2 Audit DTSTransform.Lineage.2 Cache Transform DTSTransform.Cache.1 Character Map DTSTransform.CharacterMap.2 Checksum Konesans.Dts.Pipeline.ChecksumTransform.ChecksumTransform, Konesans.Dts.Pipeline.ChecksumTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Conditional Split DTSTransform.ConditionalSplit.2 Copy Column DTSTransform.CopyMap.2 Data Conversion DTSTransform.DataConvert.2 Data Mining Model Training MSMDPP.PXPipelineProcessDM.2 Data Mining Query MSMDPP.PXPipelineDMQuery.2 DataReader Destination Microsoft.SqlServer.Dts.Pipeline.DataReaderDestinationAdapter, Microsoft.SqlServer.DataReaderDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Derived Column DTSTransform.DerivedColumn.2 Dimension Processing MSMDPP.PXPipelineProcessDimension.2 Excel Destination DTSAdapter.ExcelDestination.2 Excel Source DTSAdapter.ExcelSource.2 Export Column TxFileExtractor.Extractor.2 Flat File Destination DTSAdapter.FlatFileDestination.2 Flat File Source DTSAdapter.FlatFileSource.2 Fuzzy Grouping DTSTransform.GroupDups.2 Fuzzy Lookup DTSTransform.BestMatch.2 Import Column TxFileInserter.Inserter.2 Lookup DTSTransform.Lookup.2 Merge DTSTransform.Merge.2 Merge Join DTSTransform.MergeJoin.2 Multicast DTSTransform.Multicast.2 OLE DB Command DTSTransform.OLEDBCommand.2 OLE DB Destination DTSAdapter.OLEDBDestination.2 OLE DB Source DTSAdapter.OLEDBSource.2 Partition Processing MSMDPP.PXPipelineProcessPartition.2 Percentage Sampling DTSTransform.PctSampling.2 Performance Counters Source DataCollectorTransform.TxPerfCounters.1 Pivot DTSTransform.Pivot.2 Raw File Destination DTSAdapter.RawDestination.2 Raw File Source DTSAdapter.RawSource.2 Recordset Destination DTSAdapter.RecordsetDestination.2 RegexClean Konesans.Dts.Pipeline.RegexClean.RegexClean, Konesans.Dts.Pipeline.RegexClean, Version=2.0.0.0, Culture=neutral, PublicKeyToken=d1abe77e8a21353e Row Count DTSTransform.RowCount.2 Row Count Plus Konesans.Dts.Pipeline.RowCountPlusTransform.RowCountPlusTransform, Konesans.Dts.Pipeline.RowCountPlusTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Number Konesans.Dts.Pipeline.RowNumberTransform.RowNumberTransform, Konesans.Dts.Pipeline.RowNumberTransform, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b2ab4a111192992b Row Sampling DTSTransform.RowSampling.2 Script Component Microsoft.SqlServer.Dts.Pipeline.ScriptComponentHost, Microsoft.SqlServer.TxScript, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Slowly Changing Dimension DTSTransform.SCD.2 Sort DTSTransform.Sort.2 SQL Server Compact Destination Microsoft.SqlServer.Dts.Pipeline.SqlCEDestinationAdapter, Microsoft.SqlServer.SqlCEDest, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 SQL Server Destination DTSAdapter.SQLServerDestination.2 Term Extraction DTSTransform.TermExtraction.2 Term Lookup DTSTransform.TermLookup.2 Trash Destination Konesans.Dts.Pipeline.TrashDestination.Trash, Konesans.Dts.Pipeline.TrashDestination, Version=2.0.0.0, Culture=neutral, PublicKeyToken=b8351fe7752642cc TxTopQueries DataCollectorTransform.TxTopQueries.1 Union All DTSTransform.UnionAll.2 Unpivot DTSTransform.UnPivot.2 XML Source Microsoft.SqlServer.Dts.Pipeline.XmlSourceAdapter, Microsoft.SqlServer.XmlSrc, Version=10.0.0.0, Culture=neutral, PublicKeyToken=89845dcd8080cc91 Here is a simple console program that can be used to enumerate the pipeline components installed on your machine, and dumps out a list of all components like that above. You will need to add a reference to the Microsoft.SQLServer.ManagedDTS assembly. using System; using System.Diagnostics; using Microsoft.SqlServer.Dts.Runtime; public class Program { static void Main(string[] args) { Application application = new Application(); PipelineComponentInfos componentInfos = application.PipelineComponentInfos; foreach (PipelineComponentInfo componentInfo in componentInfos) { Debug.WriteLine(componentInfo.Name + "\t" + componentInfo.CreationName); } Console.Read(); } }

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  • How do I tweak columns in a Flat File Destination in SSIS?

    - by theog
    I have an OLE DB Data source and a Flat File Destination in the Data Flow of my SSIS Project. The goal is simply to pump data into a text file, and it does that. Where I'm having problems is with the formatting. I need to be able to rtrim() a couple of columns to remove trailing spaces, and I have a couple more that need their leading zeros preserved. The current process is losing all the leading zeros. The rtrim() can be done by simple truncation and ignoring the truncation errors, but that's very inelegant and error prone. I'd like to find a better way, like actually doing the rtrim() function where needed. Exploring similar SSIS questions & answers on SO, the thing to do seems to be "Use a Script Task", but that's ususally just thrown out there with no details, and it's not at all an intuitive thing to set up. I don't see how to use scripting to do what I need. Do I use a Script Task on the Control Flow, or a Script Component in the Data Flow? Can I do rtrim() and pad strings where needed in a script? Anybody got an example of doing this or similar things? Many thanks in advance.

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  • Investigation: Can different combinations of components effect Dataflow performance?

    - by jamiet
    Introduction The Dataflow task is one of the core components (if not the core component) of SQL Server Integration Services (SSIS) and often the most misunderstood. This is not surprising, its an incredibly complicated beast and we’re abstracted away from that complexity via some boxes that go yellow red or green and that have some lines drawn between them. Example dataflow In this blog post I intend to look under that facade and get into some of the nuts and bolts of the Dataflow Task by investigating how the decisions we make when building our packages can affect performance. I will do this by comparing the performance of three dataflows that all have the same input, all produce the same output, but which all operate slightly differently by way of having different transformation components. I also want to use this blog post to challenge a common held opinion that I see perpetuated over and over again on the SSIS forum. That is, that people assume adding components to a dataflow will be detrimental to overall performance. Its not surprising that people think this –it is intuitive to think that more components means more work- however this is not a view that I share. I have always been of the opinion that there are many factors affecting dataflow duration and the number of components is actually one of the less important ones; having said that I have never proven that assertion and that is one reason for this investigation. I have actually seen evidence that some people think dataflow duration is simply a function of number of rows and number of components. I’ll happily call that one out as a myth even without any investigation!  The Setup I have a 2GB datafile which is a list of 4731904 (~4.7million) customer records with various attributes against them and it contains 2 columns that I am going to use for categorisation: [YearlyIncome] [BirthDate] The data file is a SSIS raw format file which I chose to use because it is the quickest way of getting data into a dataflow and given that I am testing the transformations, not the source or destination adapters, I want to minimise external influences as much as possible. In the test I will split the customers according to month of birth (12 of those) and whether or not their yearly income is above or below 50000 (2 of those); in other words I will be splitting them into 24 discrete categories and in order to do it I shall be using different combinations of SSIS’ Conditional Split and Derived Column transformation components. The 24 datapaths that occur will each input to a rowcount component, again because this is the least resource intensive means of terminating a datapath. The test is being carried out on a Dell XPS Studio laptop with a quad core (8 logical Procs) Intel Core i7 at 1.73GHz and Samsung SSD hard drive. Its running SQL Server 2008 R2 on Windows 7. The Variables Here are the three combinations of components that I am going to test:     One Conditional Split - A single Conditional Split component CSPL Split by Month of Birth and income category that will use expressions on [YearlyIncome] & [BirthDate] to send each row to one of 24 outputs. This next screenshot displays the expression logic in use: Derived Column & Conditional Split - A Derived Column component DER Income Category that adds a new column [IncomeCategory] which will contain one of two possible text values {“LessThan50000”,”GreaterThan50000”} and uses [YearlyIncome] to determine which value each row should get. A Conditional Split component CSPL Split by Month of Birth and Income Category then uses that new column in conjunction with [BirthDate] to determine which of the same 24 outputs to send each row to. Put more simply, I am separating the Conditional Split of #1 into a Derived Column and a Conditional Split. The next screenshots display the expression logic in use: DER Income Category         CSPL Split by Month of Birth and Income Category       Three Conditional Splits - A Conditional Split component that produces two outputs based on [YearlyIncome], one for each Income Category. Each of those outputs will go to a further Conditional Split that splits the input into 12 outputs, one for each month of birth (identical logic in each). In this case then I am separating the single Conditional Split of #1 into three Conditional Split components. The next screenshots display the expression logic in use: CSPL Split by Income Category         CSPL Split by Month of Birth 1& 2       Each of these combinations will provide an input to one of the 24 rowcount components, just the same as before. For illustration here is a screenshot of the dataflow containing three Conditional Split components: As you can these dataflows have a fair bit of work to do and remember that they’re doing that work for 4.7million rows. I will execute each dataflow 10 times and use the average for comparison. I foresee three possible outcomes: The dataflow containing just one Conditional Split (i.e. #1) will be quicker There is no significant difference between any of them One of the two dataflows containing multiple transformation components will be quicker Regardless of which of those outcomes come to pass we will have learnt something and that makes this an interesting test to carry out. Note that I will be executing the dataflows using dtexec.exe rather than hitting F5 within BIDS. The Results and Analysis The table below shows all of the executions, 10 for each dataflow. It also shows the average for each along with a standard deviation. All durations are in seconds. I’m pasting a screenshot because I frankly can’t be bothered with the faffing about needed to make a presentable HTML table. It is plain to see from the average that the dataflow containing three conditional splits is significantly faster, the other two taking 43% and 52% longer respectively. This seems strange though, right? Why does the dataflow containing the most components outperform the other two by such a big margin? The answer is actually quite logical when you put some thought into it and I’ll explain that below. Before progressing, a side note. The standard deviation for the “Three Conditional Splits” dataflow is orders of magnitude smaller – indicating that performance for this dataflow can be predicted with much greater confidence too. The Explanation I refer you to the screenshot above that shows how CSPL Split by Month of Birth and salary category in the first dataflow is setup. Observe that there is a case for each combination of Month Of Date and Income Category – 24 in total. These expressions get evaluated in the order that they appear and hence if we assume that Month of Date and Income Category are uniformly distributed in the dataset we can deduce that the expected number of expression evaluations for each row is 12.5 i.e. 1 (the minimum) + 24 (the maximum) divided by 2 = 12.5. Now take a look at the screenshots for the second dataflow. We are doing one expression evaluation in DER Income Category and we have the same 24 cases in CSPL Split by Month of Birth and Income Category as we had before, only the expression differs slightly. In this case then we have 1 + 12.5 = 13.5 expected evaluations for each row – that would account for the slightly longer average execution time for this dataflow. Now onto the third dataflow, the quick one. CSPL Split by Income Category does a maximum of 2 expression evaluations thus the expected number of evaluations per row is 1.5. CSPL Split by Month of Birth 1 & CSPL Split by Month of Birth 2 both have less work to do than the previous Conditional Split components because they only have 12 cases to test for thus the expected number of expression evaluations is 6.5 There are two of them so total expected number of expression evaluations for this dataflow is 6.5 + 6.5 + 1.5 = 14.5. 14.5 is still more than 12.5 & 13.5 though so why is the third dataflow so much quicker? Simple, the conditional expressions in the first two dataflows have two boolean predicates to evaluate – one for Income Category and one for Month of Birth; the expressions in the Conditional Split in the third dataflow however only have one predicate thus they are doing a lot less work. To sum up, the difference in execution times can be attributed to the difference between: MONTH(BirthDate) == 1 && YearlyIncome <= 50000 and MONTH(BirthDate) == 1 In the first two dataflows YearlyIncome <= 50000 gets evaluated an average of 12.5 times for every row whereas in the third dataflow it is evaluated once and once only. Multiply those 11.5 extra operations by 4.7million rows and you get a significant amount of extra CPU cycles – that’s where our duration difference comes from. The Wrap-up The obvious point here is that adding new components to a dataflow isn’t necessarily going to make it go any slower, moreover you may be able to achieve significant improvements by splitting logic over multiple components rather than one. Performance tuning is all about reducing the amount of work that needs to be done and that doesn’t necessarily mean use less components, indeed sometimes you may be able to reduce workload in ways that aren’t immediately obvious as I think I have proven here. Of course there are many variables in play here and your mileage will most definitely vary. I encourage you to download the package and see if you get similar results – let me know in the comments. The package contains all three dataflows plus a fourth dataflow that will create the 2GB raw file for you (you will also need the [AdventureWorksDW2008] sample database from which to source the data); simply disable all dataflows except the one you want to test before executing the package and remember, execute using dtexec, not within BIDS. If you want to explore dataflow performance tuning in more detail then here are some links you might want to check out: Inequality joins, Asynchronous transformations and Lookups Destination Adapter Comparison Don’t turn the dataflow into a cursor SSIS Dataflow – Designing for performance (webinar) Any comments? Let me know! @Jamiet

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  • New Features and Changes in OIM11gR2

    - by Abhishek Tripathi
    WEB CONSOLEs in OIM 11gR2 ** In 11gR1 there were 3 Admin Web Consoles : ·         Self Service Console ·         Administration Console and ·         Advanced Administration Console accessible Whereas in OIM 11gR2 , Self Service and Administration Console have are now combined and now called as Identity Self Service Console http://host:port/identity  This console has 3 features in it for managing self profile (My Profile), Managing Requests like requesting for App Instances and Approving requests (Requests) and General Administration tasks of creating/managing users, roles, organization, attestation etc (Administration) ** In OIM 11gR2 – new console sysadmin has been added Administrators which includes some of the design console functions apart from general administrations features. http://host:port/sysadmin   Application Instances Application instance is the object that is to be provisioned to a user. Application Instances are checked out in the catalog and user can request for application instances via catalog. ·         In OIM 11gR2 resources and entitlements are bundled in Application Instance which user can select and request from catalog.  ·         Application instance is a combination of IT Resource and RO. So, you cannot create another App Instance with the same RO & IT Resource if it already exists for some other App Instance. One of these ( RO or IT Resource) must have a different name. ·         If you want that users of a particular Organization should be able to request for an Application instances through catalog then App Instances must be attached to that particular Organization. ·         Application instance can be associated with multiple organizations. ·         An application instance can also have entitlements associated with it. Entitlement can include Roles/Groups or Responsibility. ·         Application Instance are published to the catalog by a scheduled task “Catalog Synchronization Job” ·         Application Instance can have child/ parent application instance where child application instance inherits all attributes of parent application instance. Important point to remember with Application Instance If you delete the application Instance in OIM 11gR2 and create a new one with the same name, OIM will not allow doing so. It throws error saying Application Instance already exists with same Resource Object and IT resource. This is because there is still some reference that is not removed in OIM for deleted application Instance.  So to completely delete your application Instance from OIM, you must: 1. Delete the app Instance from sysadmin console. 2. Run the App Instance Post Delete Processing Job in Revoke/Delete mode. 3. Run the Catalog Synchronization job. Once done, you should be able to create a new App instance with the previous RO & IT Resouce name.   Catalog  Catalog allows users to request Roles, Application Instance, and Entitlements in an Application. Catalog Items – Roles, Application Instance and Entitlements that can be requested via catalog are called as catalog items. Detailed Information ( attributes of Catalog item)  Category – Each catalog item is associated with one and only one category. Catalog Administrators can provide a value for catalog item. ·         Tags – are search keywords helpful in searching Catalog. When users search the Catalog, the search is performed against the tags. To define a tag, go to Catalog->Search the resource-> select the resource-> update the tag field with custom search keyword. Tags are of three types: a) Auto-generated Tags: The Catalog synchronization process auto-tags the Catalog Item using the Item Type, Item Name and Item Display Name b) User-defined Tags: User-defined Tags are additional keywords entered by the Catalog Administrator. c) Arbitrary Tags: While defining a metadata if user has marked that metadata as searchable, then that will also be part of tags.   Sandbox  Sanbox is a new feature introduced in OIM11gR2. This serves as a temporary development environment for UI customizations so that they don’t affect other users before they are published and linked to existing OIM UI. All UI customizations should be done inside a sandbox, this ensures that your changes/modifications don’t affect other users until you have finalized the changes and customization is complete. Once UI customization is completed, the Sandbox must be published for the customizations to be merged into existing UI and available to other users. Creating and activating a sandbox is mandatory for customizing the UI by .Without an active sandbox, OIM does not allow to customize any page. a)      Before you perform any activity in OIM (like Create/Modify Forms, Custom Attribute, creating application instances, adding roles/attributes to catalog) you must create a Sand Box and activate it. b)      One can create multiple sandboxes in OIM but only one sandbox can be active at any given time. c)      You can export/import the sandbox to move the changes from one environment to the other. Creating Sandbox To create sandbox, login to identity manager self service (/identity) or System Administration (/sysadmin) and click on top right of link “Sandboxes” and then click on Create SandBox. Publishing Sandbox Before you publish a sandbox, it is recommended to backup MDS. Use /EM to backup MDS by following the steps below : Creating MDS Backup 1.      Login to Oracle Enterprise Manager as the administrator. 2.      On the landing page, click oracle.iam.console.identity.self-service.ear(V2.0). 3.      From the Application Deployment menu at the top, select MDS configuration. 4.      Under Export, select the Export metadata documents to an archive on the machine where this web browser is running option, and then click Export. All the metadata is exported in a ZIP file.   Creating Password Policy through Admin Console : In 11gR1 and previous versions password policies could be created & applied via OIM Design Console only. From OIM11gR2 onwards, Password Policies can be created and assigned using Admin Console as well.  

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  • Presenting to the New England SQL Server Users Group 10 Jun 2010!

    - by andyleonard
    I am honored to present Applied SSIS Design Patterns to the New England SQL Server Users Group on 10 Jun 2010! This is a reprise of the spotlight session presented at the PASS Summit 2009. Abstract "Design Patterns" is more than a trendy buzz phrase; design patterns are a way of breaking down complex development projects into manageable tasks. They lend themselves to several development methodologies and apply to SSIS development. Chances are you're using your own design patterns now! In this spotlight...(read more)

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  • Magento: Rebuilding Flat Catalog Programmatically

    - by karnage
    I am using a cron to import inventory changes nightly. When I try to change a product's information (price, etc) I get the following error: Column not found: 1054 Unknown column 'e.display_price_group_0' in 'field list' I can fix this by clicking "Rebuild Flat Catalog Product" in the Cache Management panel. I setup a cron to do this programmatically using the following code: Mage :: getResourceModel( 'catalog/product_flat_indexer' ) -> rebuild(); I don't get any errors when I run the script, but the "Column not found" error persists. Does anyone know how I can rebuild the flat catalog other than through the admin interface?

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  • Accessing entire netflix catalog via API v1.5

    - by Stone
    Netflix recently updated their API methods for obtaining the full Netflix catalog. I'm curious if anyone has had any success accessing these new xml documents and downloading them via API v1.5 (9/2012). Previously, you could download the entire Netflix catalog via one API call (which I had working perfectly). Now, there are supposedly two calls to make: one for dvd's and one for streaming movies. I cannot make these calls return anything except for an empty array. Please don't offer an answer unless you have personally downloaded the entire catalog via these new API's. Bonus points if you can tell me how to do it in Ruby. http://developer.netflix.com/blog/read/Update_Changes_for_the_Public_API

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  • SSIS 2008 - How to read from SQL Server Compact Edition file?

    - by Gustavo Cavalcanti
    I can see "SQL Server Compact Destination" under Data Flow Destinations, but I am looking for its source counterpart. If I choose ADO.Net source and create a new connection, there's no provider for SQL CE. What am I missing? Thanks! Update: I am able to create a "Data Source" (under "Data Sources" folder in my SSIS project") that connects to an existing Sql CE file. But how can I use this Data Source in my data flow?

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  • Can SQL Server Compact be used as both a Source and Destination in SSIS?

    - by Rich
    I'm wondering if SQL Server Compact Edition can be used as both a Source and Destination in an SSIS dataflow. I know I can setup a SQLMOBILE connection manager, and I've found some information that mentions using it as a Destination, but nothing on using it as a Source. What I'm looking to do is to transfer data from one SQL Server Compact file to another.

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  • How do I reference SSIS on a build machine without installing SQL Server 2008 Client Tools?

    - by freshr
    I need to build SSIS packages on a build machine, and do not want the overhead of installing SQL Server Management Studio on this machine. A SQL Server 2008 SDK would be ideal, but I could not find where to download it. The dlls I require are (for example): Microsoft.SQLServer.ManagedDTS Microsoft.SqlServer.PipelineHost Microsoft.SqlServer.DTSPipelineWrap Microsoft.SQLServer.DTSRuntimeWrap I could attempt to copy them to the build machine individually, but I would rather just use an SDK if possible. Where can I get the SDK, or alternatively, what suggestions are there?

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  • Puppet:get real-time status of catalog evaluation and post to remote server

    - by txworking
    According to this article http://docs.puppetlabs.com/guides/puppet_internals.html There are four phases when puppet agent got a catalog from master. resource generation = relationships = evaluation = reporting Reporting As the transaction progresses, it collects logs and metrics on what it does. At the end of evaluation, it turns this information into a report, which it sends to the server (if requested). And at the end of evaluation puppet agent would generate a report and sent the report to the master. Is there a way to get real-time status of evaluation phase and post them to a remote logcollector? Glad for any suggestions.

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  • SSIS Send Mail task limited to 255 characters in address?

    - by CodeByMoonlight
    Is this a bug, or some hidden limit I can't find any documentation about? When creating a Send Mail Task in SSIS 2008, the TO, CC and BCC fields seem to have a hidden limit of 255 characters. I'm aware this is the standard limit for individual email addresses, but all three are commonly used for multiple addresses and the comment for the To field even says "separate the recipients with semicolons". But nevertheless, it truncates the address to a maximum of 255 characters. Bug, non-obvious standard, or something I'm missing? Any way around this? We were trying to build a CC list dynamically, but this has caused a rethink.

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  • Code changes in the Dtsx file in an SSIS package not reflecting after deploying and running on the server

    - by SKumar
    I have some folder called Test-Deploy in which I keep all the dtsx files, manifest and configuration files. Whenever I want to deploy the ssis package, I run manifest file in this folder and deploy. My problem is I have to change one of the dtsx files out of it. So, I opened only that particular dtsx file BI studio, updated and built. After the build, I copied the dtsx file from bin folder and copied to my Test-Deploy folder. When I deployed and run this new package in the Test-Deploy folder, the changes I made are not reflecting in the result. I could not find any difference in the results before and after changing. My doubt is has it saved my previous dtsx file somewhere on the server and executing the same dtsx file instead of the new one?

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  • SSIS 2005 - How to Import a Fixed Width Flat File?

    - by Greg
    I have a flat file that looks something like this: junk I don't care about \n \n columns names\n val1 val2 val3\n val1 val2 val3\n columns names \n val1 val2 val3\n I only care the lines with values. These value lines are all fixed width format and have the same line length. The other junk lines and column names can have any line width. When I try the flat file fixed width option or the ragged right option the preview looks all wrong. Any ideas what the easiest way to get this into SSIS is?

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  • SSIS - Can I get the column schema for a flat file source from a database?

    - by Steve Clement
    We receive a nightly data export from a vendor in the form of about 10 tab-delimited flat file without column headers. In addition, the vendor provides us with the SQL scripts for the database tables so that we can import the files into our system. Unfortunately, the vendor recently changed the schema for the flat files. Each file has upwards 150 columns, and having to go through the DB schema and adjust column types on a Flat File Data Source in SSIS is extremely time consuming, not to mention a royal pain. Since I know the file data layout in the database schema, is there any way I can dynamically pull that into a Flat File source to set the columns correctly? Or am I just stuck with manually setting everything?

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