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  • Do data sources travel with a particular mail merge document?

    - by Andrew
    Do data sources that you set up (particularly to SQL Server) travel with a mail merge document? In other words, if I set up data sources in a mail merge document on my machine and then save and send that document to a co-worker and she opens it on her machine, will the data sources still be there when she opens it? Or, will she have to set them up again herself?

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  • What are the possible disadvantages of enabling the "data access" server option in sys.servers for t

    - by Corp. Hicks
    We plan to change the default server options of an SQL2k5 server instance by enabling data access. The reason is that we want to run "SELECT * FROM OPENQUERY(LOCALSERVER, '...')" -like statements on the server. What are the possible disadvantages of enabling server option "data access" (alias sys.servers.is_data_access_enabled) for the local server (sys.servers.server_id = 0)? (There must be a reason for MS setting this option to disabled by default...) EDIT: it turns out that I'm not the first person to ask this question: http://sqlblogcasts.com/blogs/piotr_rodak/archive/2009/11/22/data-access-setting-on-local-server.aspx "The DATA ACCESS server option is not very well documented in my opinion - the Books On Line say it is a property of linked servers. It doesn't mention at all that you actually can have it enabled on your local server to enable OPENQUERY calls. I noticed that when you disable DATA ACCESS on a linked server, you can't query any table located on it (I tested it on my loopback server) neither using OPENQUERY nor four-part naming convention. You can still call procedures (with four-part naming) that return rowsets. Well, the interesting question is why it is disabled by default on local server - I suppose to discourage users from using OPENQUERY against it." It also seems that the author of the post (Pjotr Rodak) is a Stack Overflow user :-)

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  • Can't Connect SQL server - process being used by another process. Conflict with IIS?

    - by shinya
    I'm having problem connecting to MS SQL Server (2012 Express) after accessing a database through IIS (web site). I can access the data through web site no problem, but I can't access the data from any other programs (i.e SSMS) until I reboot the SQL server. It seems that the connection stays open even if I close a browser. Here is error message I'm getting Unable to open the physical file "C:---------". Operating system error 32: "32(The process cannot access the file because it is being used by another process.)". Unable to open the physical file "C:-------". Operating system error 32: "32(The process cannot access the file because it is being used by another process.)". Cannot open user default database. Login failed. Login failed for user 'Myserver\myname'. (.Net SqlClient Data Provider) Server Name: MYPC\SQLEXPRESS Error Number: 5120 Severity: 16 State: 101 Line Number: 65536 I follow the help link and it told me to move TCP before named pipes in the protocol order list. I tried it but it didn't help at all. What is the proper settings on SQL server or IIS in order to release process after closing a browser. How do I avoid getting this error? Thank you for your help

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  • Where are the Windows 7 System Restore Points stored and how to preserve them?

    - by Rohit
    I am using Windows 7 Professional. My system crashed few days back and to recover that, I inserted the Windows 7 DVD. While running the System Restore from the DVD, it showed there are no restore points. It shocked me. I created few restore points, where they disappeared. Is there a way to preserve these restore points from accidental deletion? Is there any other FREE tool to take snapshot of the image on other disk?

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  • How can we recover/restore lost/overwritten data in our MSSQL 2008 table?

    - by TeTe
    I am in serious trouble and I am seeking professional advices here. We are using MSSQL server 2008. We removed primary key, replaced exiting data with new data resulted losing our critical business data in its child tables on MSSQL Server. It was completely human mistake and we didn't have disk failure. 1) The last backup file was a month ago which means it is useless. 2) We created Maintenance Plans to backup our database at 12AM everyday but those files are nohwere to be found 3) A friend of mine said we can recover from Transaction Logs. When I go to TaskRestore Transaction log is dimmed/disabled. 4) I checked ManagementMaintenance Plans. I can't find any restored point there. It seems that our maintenance plan hasn't been working. Is there any third party tool to recover lost/overwritten data from MSSQL table? Thanks a lot.

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  • Is SQL Server DRI (ON DELETE CASCADE) slow?

    - by Aaronaught
    I've been analyzing a recurring "bug report" (perf issue) in one of our systems related to a particularly slow delete operation. Long story short: It seems that the CASCADE DELETE keys were largely responsible, and I'd like to know (a) if this makes sense, and (b) why it's the case. We have a schema of, let's say, widgets, those being at the root of a large graph of related tables and related-to-related tables and so on. To be perfectly clear, deleting from this table is actively discouraged; it is the "nuclear option" and users are under no illusions to the contrary. Nevertheless, it sometimes just has to be done. The schema looks something like this: Widgets | +--- Anvils (1:1) | | | +--- AnvilTestData (1:N) | +--- WidgetHistory (1:N) | +--- WidgetHistoryDetails (1:N) Nothing too scary, really. A Widget can be different types, an Anvil is a special type, so that relationship is 1:1 (or more accurately 1:0..1). Then there's a large amount of data - perhaps thousands of rows of AnvilTestData per Anvil collected over time, dealing with hardness, corrosion, exact weight, hammer compatibility, usability issues, and impact tests with cartoon heads. Then every Widget has a long, boring history of various types of transactions - production, inventory moves, sales, defect investigations, RMAs, repairs, customer complaints, etc. There might be 10-20k details for a single widget, or none at all, depending on its age. So, unsurprisingly, there's a CASCADE DELETE relationship at every level here. If a Widget needs to be deleted, it means something's gone terribly wrong and we need to erase any records of that widget ever existing, including its history, test data, etc. Again, nuclear option. Relations are all indexed, statistics are up to date. Normal queries are fast. The system tends to hum along pretty smoothly for everything except deletes. Getting to the point here, finally, for various reasons we only allow deleting one widget at a time, so a delete statement would look like this: DELETE FROM Widgets WHERE WidgetID = @WidgetID Pretty simple, innocuous looking delete... that takes over 2 minutes to run, for a widget with no data! After slogging through execution plans I was finally able to pick out the AnvilTestData and WidgetHistoryDetails deletes as the sub-operations with the highest cost. So I experimented with turning off the CASCADE (but keeping the actual FK, just setting it to NO ACTION) and rewriting the script as something very much like the following: DECLARE @AnvilID int SELECT @AnvilID = AnvilID FROM Anvils WHERE WidgetID = @WidgetID DELETE FROM AnvilTestData WHERE AnvilID = @AnvilID DELETE FROM WidgetHistory WHERE HistoryID IN ( SELECT HistoryID FROM WidgetHistory WHERE WidgetID = @WidgetID) DELETE FROM Widgets WHERE WidgetID = @WidgetID Both of these "optimizations" resulted in significant speedups, each one shaving nearly a full minute off the execution time, so that the original 2-minute deletion now takes about 5-10 seconds - at least for new widgets, without much history or test data. Just to be absolutely clear, there is still a CASCADE from WidgetHistory to WidgetHistoryDetails, where the fanout is highest, I only removed the one originating from Widgets. Further "flattening" of the cascade relationships resulted in progressively less dramatic but still noticeable speedups, to the point where deleting a new widget was almost instantaneous once all of the cascade deletes to larger tables were removed and replaced with explicit deletes. I'm using DBCC DROPCLEANBUFFERS and DBCC FREEPROCCACHE before each test. I've disabled all triggers that might be causing further slowdowns (although those would show up in the execution plan anyway). And I'm testing against older widgets, too, and noticing a significant speedup there as well; deletes that used to take 5 minutes now take 20-40 seconds. Now I'm an ardent supporter of the "SELECT ain't broken" philosophy, but there just doesn't seem to be any logical explanation for this behaviour other than crushing, mind-boggling inefficiency of the CASCADE DELETE relationships. So, my questions are: Is this a known issue with DRI in SQL Server? (I couldn't seem to find any references to this sort of thing on Google or here in SO; I suspect the answer is no.) If not, is there another explanation for the behaviour I'm seeing? If it is a known issue, why is it an issue, and are there better workarounds I could be using?

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  • SQL - date variable isn't being parsed correctly?

    - by Bill Sambrone
    I am pulling a list of invoices filtered by a starting and ending date, and further filtered by type of invoice from a SQL table. When I specify a range of 2013-07-01 through 2013-09-30 I am receiving 2 invoices per company when I expect 3. When I use the built in select top 1000 query in SSMS and add my date filters, all the expected invoices appear. Here is my fancy query that I'm using that utilizing variables that are fed in: DECLARE @ReportStart datetime DECLARE @ReportStop datetime SET @ReportStart = '2013-07-01' SET @ReportStop = '2013-09-30' SELECT Entity_Company.CompanyName, Reporting_AgreementTypes.Description, Reporting_Invoices.InvoiceAmount, ISNULL(Reporting_ProductCost.ProductCost,0), (Reporting_Invoices.InvoiceAmount - ISNULL(Reporting_ProductCost.ProductCost,0)), (Reporting_AgreementTypes.Description + Entity_Company.CompanyName), Reporting_Invoices.InvoiceDate FROM Reporting_Invoices JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID LEFT JOIN Reporting_ProductCost ON Reporting_ProductCost.InvoiceNumber =Reporting_Invoices.InvoiceNumber JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= @ReportStart AND Reporting_Invoices.InvoiceDate <= @ReportStop ORDER BY CompanyName,InvoiceDate The above only returns 2 invoices per company. When I run a much more basic query through SSMS I get 3 as expected, which looks like: SELECT TOP 1000 [InvoiceID] ,[AgreementID] ,[AgreementTypeID] ,[InvoiceDate] ,[Comment] ,[InvoiceAmount] ,[InvoiceNumber] ,[TicketID] ,Entity_Company.CompanyName FROM Reporting_Invoices JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID WHERE Entity_Company.ClientID = '9' AND AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01' AND Reporting_Invoices.InvoiceDate <= '2013-09-30' ORDER BY InvoiceDate DESC I've tried stripping down the 1st query to include only a client ID on the original invoice table, the invoice date, and nothing else. Still only get 2 invoices instead of the expected 3. I've also tried manually entering the dates instead of the @ variables, same result. I confirmed that InvoiceDate is defined as a datetime in the table. I've tried making all JOIN's a FULL JOIN to see if anything is hiding, but no change. Here is how I stripped down the original query to keep all other tables out of the mix and yet I'm still getting only 2 invoices per client ID instead of 3 (I manually entered the ID for the type filter): --DECLARE @ReportStart datetime --DECLARE @ReportStop datetime --SET @ReportStart = '2013-07-01' --SET @ReportStop = '2013-09-30' SELECT --Entity_Company.CompanyName, --Reporting_AgreementTypes.Description, Reporting_Invoices.ClientID, Reporting_Invoices.InvoiceAmount, --ISNULL(Reporting_ProductCost.ProductCost,0), --(Reporting_Invoices.InvoiceAmount - ISNULL(Reporting_ProductCost.ProductCost,0)), --(Reporting_AgreementTypes.Description + Entity_Company.CompanyName), Reporting_Invoices.InvoiceDate FROM Reporting_Invoices --JOIN Entity_Company ON Entity_Company.ClientID = Reporting_Invoices.ClientID --LEFT JOIN Reporting_ProductCost ON Reporting_ProductCost.InvoiceNumber = Reporting_Invoices.InvoiceNumber --JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = '22'-- (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01' AND Reporting_Invoices.InvoiceDate <= '2013-09-30' ORDER BY ClientID,InvoiceDate This strikes me as really weird as it is pretty much the same query as the SSMS generated one that returns correct results. What am I overlooking? UPDATE I've further refined my "test query" that is returning only 2 invoices per company to help troubleshoot this. Below is the query and a relevant subset of data for 1 company from the appropriate tables: SELECT Reporting_Invoices.ClientID, Reporting_AgreementTypes.Description, Reporting_Invoices.InvoiceAmount, Reporting_Invoices.InvoiceDate FROM Reporting_Invoices JOIN Reporting_AgreementTypes ON Reporting_AgreementTypes.AgreementTypeID = Reporting_Invoices.AgreementTypeID WHERE Reporting_Invoices.AgreementTypeID = (SELECT AgreementTypeID FROM Reporting_AgreementTypes WHERE Description = 'Resold Services') AND Reporting_Invoices.InvoiceDate >= '2013-07-01T00:00:00' AND Reporting_Invoices.InvoiceDate <= '2013-09-30T00:00:00' ORDER BY Reporting_Invoices.ClientID,InvoiceDate The above only returns 2 invoices. Here is the relevant table data: Relevant data from Reporting_AgreementTypes AgreementTypeID Description 22 Resold Services Relevant data from Reporting_Invoices InvoiceID ClientID AgreementID AgreementTypeID InvoiceDate 16111 9 757 22 2013-09-30 00:00:00.000 15790 9 757 22 2013-08-30 00:00:00.000 15517 9 757 22 2013-07-31 00:00:00.000 Actual results from my new modified query ClientID Description InvoiceAmount InvoiceDate 9 Resold Services 3513.79 7/31/13 00:00:00 9 Resold Services 3570.49 8/30/13 00:00:00

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  • Suggested Web Application Framework and Database for Enterprise, “Big-Data” App?

    - by willOEM
    I have a web application that I have been developing for a small group within my company over the past few years, using Pipeline Pilot (plus jQuery and Python scripting) for web development and back-end computation, and Oracle 10g for my RDBMS. Users upload experimental genomic data, which is parsed into a database, and made available for querying, transformation, and reporting. Experimental data sets are large and have many layers of metadata. A given experimental data record might have a foreign key relationship with a table that describes this data point's assay. Assays can cover multiple genes, which can have multiple transcript, which can have multiple mutations, which can affect multiple signaling pathways, etc. Users need to approach this data from any point in those layers in the metadata. Since all data sets for a given data type can run over a billion rows, this results in some large, dynamic queries that are hard to predict. New data sets are added on a weekly basis (~1GB per set). Experimental data is never updated, but the associated metadata can be updated weekly for a few records and yearly for most others. For every data set insert the system sees, there will be between 10 and 100 selects run against it and associated data. It is okay for updates and inserts to run slow, so long as queries run quick and are as up-to-date as possible. The application continues to grow in size and scope and is already starting to run slower than I like. I am worried that we have about outgrown Pipeline Pilot, and perhaps Oracle (as the sole database). Would a NoSQL database or an OLAP system be appropriate here? What web application frameworks work well with systems like this? I'd like the solution to be something scalable, portable and supportable X-years down the road. Here is the current state of the application: Web Server/Data Processing: Pipeline Pilot on Windows Server + IIS Database: Oracle 10g, ~1TB of data, ~180 tables with several billion-plus row tables Network Storage: Isilon, ~50TB of low-priority raw data

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  • Data Aggregation of CSV files java

    - by royB
    I have k csv files (5 csv files for example), each file has m fields which produce a key and n values. I need to produce a single csv file with aggregated data. I'm looking for the most efficient solution for this problem, speed mainly. I don't think by the way that we will have memory issues. Also I would like to know if hashing is really a good solution because we will have to use 64 bit hashing solution to reduce the chance for a collision to less than 1% (we are having around 30000000 rows per aggregation). For example file 1: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,50,60,70,80 a3,b2,c4,60,60,80,90 file 2: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,30,50,90,40 a3,b2,c4,30,70,50,90 result: f1,f2,f3,v1,v2,v3,v4 a1,b1,c1,80,110,160,120 a3,b2,c4,90,130,130,180 algorithm that we thought until now: hashing (using concurentHashTable) merge sorting the files DB: using mysql or hadoop or redis. The solution needs to be able to handle Huge amount of data (each file more than two million rows) a better example: file 1 country,city,peopleNum england,london,1000000 england,coventry,500000 file 2: country,city,peopleNum england,london,500000 england,coventry,500000 england,manchester,500000 merged file: country,city,peopleNum england,london,1500000 england,coventry,1000000 england,manchester,500000 The key is: country,city. This is just an example, my real key is of size 6 and the data columns are of size 8 - total of 14 columns. We would like that the solution will be the fastest in regard of data processing.

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  • Simple ADF page using BAM Data Control

    - by [email protected]
    var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-15829414-1"); pageTracker._trackPageview(); } catch(err) {} Purpose : In this blog I will walk you through very simple steps to create an ADF page using BAM data control connection.Details : Create the projectOpen JDeveloper (make sure you have installed the SOA extension for JDev)Create new Application using "Generic Application" template.Click on "Next"Shuttle  "ADF Faces" to right pane for the project technology.Click "Finish"Create a BAM connectionIn the resource palette click on "Folder->New Connection -> BAM"Enter the connection name and click "Next"Enter Connection details Click on "Test connection" and "Finish"Create the BAM Data Control Open the IDE connection created in above step.Drag and drop "Employees" to "Data controls" palette.Select "Flat Query" and Click "Finish".Create the View Create a new JSF page.From Data control Panel drag and drop "Employees->Query->ADF Read Only table"Right click and Run the page.

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  • How to analyze data

    - by Subhash Dike
    We are working on an application that allows user to search/read some content in a particular domain. We wanted to add some capability in the app which can suggest user some content based on the usage pattern (analyze data based on frequency and relevance). Currently every time user search or read something we do store that information in backend database. We would like to use this data to present some additional content to user. Could someone explain what kind of tools will be required for such a job and any example? And what this concept is called, data analysis? data mining? business intelligence? or something else? Update: Sorry for being too broad, here is an example SQL Database (Just to give an idea, actual db is little different with normalization and stuff) Table: UserArticles Fields: UserName | ArticleId | ArticleTitle | DateVisited | ArticleCategory Table: CategoryArticles Fields: Category | Article Title | Author etc. One Category may have one more articles. One user may have read the same article multiple times (in this case we place additional entry in the user article table. Task: Use the information availabel in UserArticle table and rank categories in order which would be presented to user automatically in other part of application. Factors to be considered are frequency and recency. This might be possible through simple queries or may require specialized tools. Either way, the task is what mention above. I am not too sure which route to take, hence the question. Thoughts??

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  • Data structure for bubble shooter game

    - by SundayMonday
    I'm starting to make a bubble shooter game for a mobile OS. Assume this is just the basic "three or more same-color bubbles that touch pop" and all bubbles that are separated from their group fall/pop. What data structures are common for storing the bubbles? I've considered using an undirected, connected graph where each node is a bubble. This seems like it could help answer the question "which bubbles (if any) should fall now?" after some arbitrary bubbles are popped and corresponding nodes are removed from the graph. I think the answer is all bubbles that were just disconnected from the graph should fall. However the graph approach might be overkill so I'm not sure. Another consideration for the data structure is collision detection. Perhaps being able to grab a list of neighboring bubbles in constant time for a particular "bubble slot" is useful. So the collision detection would be something like "moving bubble is closest to slot ij, neighbors of slot ij are bubbles a,b,c, moving bubble is sufficiently close to bubble b hence moving bubble should come to rest in slot ij". A game like this could be probably be made with a relatively crude grid structure as the primary data structure. However it seems like answering "which bubbles (if any) should fall now?" would be trickier with this data structure.

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  • Can JSON be made easily and safely editable by the non-technical Excel crowd?

    - by glitch
    I'm looking for a data storage format that's very intuitive and easy to edit. It should be ideally targeted towards the same crowd as Excel. At the same time I would like the data structure to be a tree. Ideally this would be JSON, since it offers both the tree aspect and allows for more interesting constructs like arrays. That and parsing libraries for JSON are ubiquitous, so I don't have to reinvent the wheel. The problem is that, at least with a non-specialized text editor, JSON is a giant pain to edit for a non-technical user. I'm thinking along the lines of someone who might have used Excel in the past, but never a real text editor. Someone who might not be comfortable with the idea of preserving JSON syntax by hand. Are there data formats out there that would fit this profile? I'd very much prefer this to be a JSON actually, but then it would require a solid editing tool that would hide the underlying implementation from the user. Think Excel and how it abstracts CSV syntax from the user. The reason I'm looking for something like this is because the team has been working with pretty hierarchical data for a while now and we've hit the limits of how easy it is to represent in simple CSVs without having to create complex rules for how represent hierarchy semantics from each row. Any suggestions?

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  • Enforcing Constraints Upon Data Documents of Various Formats

    - by Christopher Berman
    This seems like the sort of problem that must have been solved elegantly long ago, but I haven't the foggiest how to google it and find it. Suppose you're maintaining a large legacy system, which has a large collection of data (tens of GB) of various formats, including XML and two different internal configuration formats. Suppose further that there are abstract rules governing the values these files may or may not contain. EXAMPLE: File A defines the raw, mathematical data pertaining to the aerodynamics of a car for consumption of the physics component of the system. File B contains certain values from File A in an easily accessible, XML hierarchy for consumption of a different component of the system. There exists, therefore, an abstract rule (or constraint) such that the values from File B must match the values from File A. This is probably the simplest constraint that can be specified, but in practice, the constraints between files can become very complicated indeed. What is the best method for managing these constraints between files of arbitrary formats, short of migrating it over to an RDBMS (which simply isn't feasible for the foreseeable future)? Has this problem been solved already? To be more specific, I would expect the solution to at least produce notifications of violated constraints; the solution need not resolve the constraints. ============================== Sample file structures File A (JeepWrangler2011.emv): MODEL JeepWrangler2011 { EsotericMathValueX 11.1 EsotericMathValueY 22.2 EsotericMathValueZ 33.3 } File B (JeepWrangler2011.xml): <model name="JeepWrangler2011"> <!--These values must correspond File A's EsotericMathValues--> <modelExtent x="11.1" y="22.2" z="33.3"/> [...] </model>

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  • Data Synchronization in mobile apps - multiple devices, multiple users

    - by ProgrammerNewbie
    I'm looking into building my first mobile app. One of the core features of the application is that multiple devices/users will have access to the same data -- and all of them will have CRUD rights. I believe the architecture should involve a central server where all the data is stored. The devices will use an API to interact with the server to perform its data operations (e.g. adding a record, editing a record, deleting a record). I imagine a scenario where synchronizing the data will become a problem. Assume the application should work when it is not connected to the Internet, and thus cannot communicate with this central server. So: User A is offline and edits record #100 User B is offline and edits record #100 User C is offline and deletes record #100 User C goes online (presumably, record #100 should get deleted on the server) User A and B goes online, but the records they edited no longer exist All sorts of scenarios similar to the above can come up. How is this generally handled? I plan to use MySQL, but am wondering if it's not appropriate for such a problem.

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  • Tricky SQL - Select non-adjacent numbers

    - by Daniel
    Given this data on SQL Server 2005: SectionID Name 1 Dan 2 Dan 4 Dan 5 Dan 2 Tom 7 Tom 9 Tom 10 Tom How would I select records where the sectionID must be +-2 or more from another section for the same name. The result would be: 1 Dan 4 Dan 2 Tom 7 Tom 9 Tom Thanks for reading!

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  • Function to Calculate Median in Sql Server

    - by Yaakov Ellis
    According to MSDN, Median is not available as an aggregate function in Transact-Sql. However, I would like to find out whether it is possible to create this functionality (using the Create Aggregate function, user defined function, or some other method). What would be the best way (if possible) to do this - allow for the calculation of a median value (assuming a numeric data type) in an aggregate query?

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  • Count(*) vs Count(1)

    - by Nai
    Hi, just wondering if any of you guys use Count(1) over Count(*) and if there is a noticeable difference for SQL Server 2005 in performance? Or is this just a legacy habit that has been brought forward from days gone past?

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  • SQL last day in moth select

    - by Saif Khan
    I have the following table which is basically the summary of daily transactions and is loaded nightly. +++++++++++++++++++++++ + DateCreated + Sale + +++++++++++++++++++++++ + 20100101 + 1000 + + 20100131 + 2000 + + 20100210 + 2000 + + 20100331 + 4000 + +++++++++++++++++++++++ I need to display the sale by month, but only for the last day in each month. eg JAN 2000 FEB 0 MAR 4000 I could probably accomplish this with CASE in my select, but is this efficient? This is SQL Server 2000.

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  • Linq To Sql Concat() dropping fields in created TSQL

    - by user191468
    This is strange. I am moving a stored proc to a service. The TSQL unions multiple selects. To replicate this I created multiple queries resulting in a common new concrete type. Then I issue a return result.ToString(); and the resulting SQL selects have varying numbers of columns specified thus causing an MSSQL Msg 205... using (var db = GetDb()) { var fundInv = from f in db.funds select new Investments { Company = f.company, FullName = f.fullname, Admin = f.admin, Fund = f.fund1, FundCode = f.fundcode, Source = STR_FUNDS, IsPortfolio = false, IsActive = f.active, Strategy = f.strategy, SubStrategy = f.substrategy, AltStrategy = f.altstrategy, AltSubStrategy = f.altsubstrategy, Region = f.region, AltRegion = f.altregion, UseAlternate = f.usealt, ClassesAllowed = f.classallowed }; var stocksInv = from s in db.stocks where !fundInv.Select(f => f.Company).Contains(s.vehcode) select new Investments { Company = s.company, FullName = s.issuer, Admin = STR_PRS, Fund = s.shortname, FundCode = s.vehcode, Source = STR_STOCK, IsPortfolio = false, IsActive = (s.inactive == null), Strategy = s.style, SubStrategy = s.substyle, AltStrategy = s.altstyle, AltSubStrategy = s.altsubsty, Region = s.geography, AltRegion = s.altgeo, UseAlternate = s.usealt, ClassesAllowed = STR_GENERIC }; var bondsInv = from oi in db.bonds where !fundInv.Select(f => f.Company).Contains(oi.vehcode) select new Investments { Company = string.Empty, FullName = oi.issue, Admin = STR_PRS1, Fund = oi.issue, FundCode = oi.vehcode, Source = STR_BONDS, IsPortfolio = false, IsActive = oi.closed, Strategy = STR_OTH, SubStrategy = STR_OTH, AltStrategy = STR_OTH, AltSubStrategy = STR_OTH, Region = STR_OTH, AltRegion = STR_OTH, UseAlternate = false, ClassesAllowed = STR_GENERIC }; return (fundInv.Concat(stocksInv).Concat(bondsInv)).ToList(); } The code above results in a complex select statement where each "table" above has different column count. (see SQL below) I've been trying a few things but no change yet. Ideas are welcome. SELECT [t6].[company] AS [Company], [t6].[fullname] AS [FullName], [t6].[admin] AS [Admin], [t6].[fund] AS [Fund], [t6].[fundcode] AS [FundCode], [t6].[value] AS [Source], [t6].[value2] AS [IsPortfolio], [t6].[active] AS [IsActive], [t6].[strategy] AS [Strategy], [t6].[substrategy] AS [SubStrategy], [t6].[altstrategy] AS [AltStrategy], [t6].[altsubstrategy] AS [AltSubStrategy], [t6].[region] AS [Region], [t6].[altregion] AS [AltRegion], [t6].[usealt] AS [UseAlternate], [t6].[classallowed] AS [ClassesAllowed] FROM ( SELECT [t3].[company], [t3].[fullname], [t3].[admin], [t3].[fund], [t3].[fundcode], [t3].[value], [t3].[value2], [t3].[active], [t3].[strategy], [t3].[substrategy], [t3].[altstrategy], [t3].[altsubstrategy], [t3].[region], [t3].[altregion], [t3].[usealt], [t3].[classallowed] FROM ( SELECT [t0].[company], [t0].[fullname], [t0].[admin], [t0].[fund], [t0].[fundcode], @p0 AS [value], [t0].[active], [t0].[strategy], [t0].[substrategy], [t0].[altstrategy], [t0].[altsubstrategy], [t0].[region], [t0].[altregion], [t0].[usealt], [t0].[classallowed] FROM [zInvest].[funds] AS [t0] UNION ALL SELECT [t1].[company], [t1].[issuer], @p6 AS [value], [t1].[shortname], [t1].[vehcode], @p7 AS [value2], @p8 AS [value3], (CASE WHEN [t1].[inactive] IS NULL THEN 1 ELSE 0 END) AS [value5], [t1].[style], [t1].[substyle], [t1].[altstyle], [t1].[altsubsty], [t1].[geography], [t1].[altgeo], [t1].[usealt], @p10 AS [value6] FROM [zBank].[stocks] AS [t1] WHERE (NOT (EXISTS( SELECT NULL AS [EMPTY] FROM [zInvest].[funds] AS [t2] WHERE [t2].[company] = [t1].[vehcode] ))) AND ([t1].[vehcode] <> @p2) AND (SUBSTRING([t1].[vehcode], @p3 + 1, @p4) <> @p5) ) AS [t3] UNION ALL SELECT @p11 AS [value], [t4].[issue], @p12 AS [value2], [t4].[vehcode], @p13 AS [value3], @p14 AS [value4], [t4].[closed], @p16 AS [value6], @p17 AS [value7] FROM [zMut].[bonds] AS [t4] WHERE NOT (EXISTS( SELECT NULL AS [EMPTY] FROM [zInvest].[funds] AS [t5] WHERE [t5].[company] = [t4].[vehcode] )) ) AS [t6]

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