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  • SQL Server 2000 need to prevent logons whilst performing a backup for a side by side migration

    - by pigeon
    I'm looking for a way to prevent logons from occurring in order to take a full backup of a Database to migrate from its current SQL Server 2000 instance to a new SQL 2005 instance. A friend of mine suggested running a script which would put the DB into a rollback state. Not being a DBA my DDL is very poor and running a script that I don't understand may not be the best idea. One option which might be easier is to simply detach and copy, to the new server. Any suggestions would be greatly appreciated.

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  • High Performance SQL Views Using WITH(NOLOCK)

    - by gt0084e1
    Every now and then you find a simple way to make everything much faster. We often find customers creating data warehouses or OLAP cubes even though they have a relatively small amount of data (a few gigs) compared to their server memory. If you have more server memory than the size of your database or working set, nearly any aggregate query should run in a second or less. In some situations there may be high traffic on from the transactional application and SQL server may wait for several other queries to run before giving you your results. The purpose of this is make sure you don’t get two versions of the truth. In an ATM system, you want to give the bank balance after the withdrawal, not before or you may get a very unhappy customer. So by default databases are rightly very conservative about this kind of thing. Unfortunately this split-second precision comes at a cost. The performance of the query may not be acceptable by today’s standards because the database has to maintain locks on the server. Fortunately, SQL Server gives you a simple way to ask for the current version of the data without the pending transactions. To better facilitate reporting, you can create a view that includes these directives. CREATE VIEW CategoriesAndProducts AS SELECT * FROM dbo.Categories WITH(NOLOCK) INNER JOIN dbo.Products WITH(NOLOCK) ON dbo.Categories.CategoryID = dbo.Products.CategoryID In some cases quires that are taking minutes end up taking seconds. Much easier than moving the data to a separate database and it’s still pretty much real time give or take a few milliseconds. You’ve been warned not to use this for bank balances though. More from Data Stream

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  • SQL Server Manageability Series: how to change the default path of .cache files of a data collector? #sql #mdw #dba

    - by ssqa.net
    How to change the default path of .cache files of a data collector after the Management Data Warehouse (MDW has been setup? This was the question asked by one of the DBAs in a client's place, instantly I enquired that were there any folder specified while setting up the MDW and obvious answer was no as there were left default. This means all the .CACHE files are stored under %C\TEMP directory which may post out of disk space problem on the server where the MDW is setup to collect. Going back...(read more)

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  • A different interface for the Sql Server Reporting Service?

    - by AngryHacker
    I have a SQL Server 2005 SQL Reporting Services implementation. It seems that the only way to actually access the reports is for the users to use Internet Explorer. The web page uses an ActiveX control to do its printing (and probably other functions as well). Does SSRS have a different way to access its functionality via the web browser? Like maybe Java or HTML based? If so, how do I actually turn it on? The reason I am asking is because the security is being tightened and ActiveX controls will be banished, thus the users won't be able to print.

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  • MERGE gives better OUTPUT options

    - by Rob Farley
    MERGE is very cool. There are a ton of useful things about it – mostly around the fact that you can implement a ton of change against a table all at once. This is great for data warehousing, handling changes made to relational databases by applications, all kinds of things. One of the more subtle things about MERGE is the power of the OUTPUT clause. Useful for logging.   If you’re not familiar with the OUTPUT clause, you really should be – it basically makes your DML (INSERT/DELETE/UPDATE/MERGE) statement return data back to you. This is a great way of returning identity values from INSERT commands (so much better than SCOPE_IDENTITY() or the older (and worse) @@IDENTITY, because you can get lots of rows back). You can even use it to grab default values that are set using non-deterministic functions like NEWID() – things you couldn’t normally get back without running another query (or with a trigger, I guess, but that’s not pretty). That inserted table I referenced – that’s part of the ‘behind-the-scenes’ work that goes on with all DML changes. When you insert data, this internal table called inserted gets populated with rows, and then used to inflict the appropriate inserts on the various structures that store data (HoBTs – the Heaps or B-Trees used to store data as tables and indexes). When deleting, the deleted table gets populated. Updates get a matching row in both tables (although this doesn’t mean that an update is a delete followed by an inserted, it’s just the way it’s handled with these tables). These tables can be referenced by the OUTPUT clause, which can show you the before and after for any DML statement. Useful stuff. MERGE is slightly different though. With MERGE, you get a mix of entries. Your MERGE statement might be doing some INSERTs, some UPDATEs and some DELETEs. One of the most common examples of MERGE is to perform an UPSERT command, where data is updated if it already exists, or inserted if it’s new. And in a single operation too. Here, you can see the usefulness of the deleted and inserted tables, which clearly reflect the type of operation (but then again, MERGE lets you use an extra column called $action to show this). (Don’t worry about the fact that I turned on IDENTITY_INSERT, that’s just so that I could insert the values) One of the things I love about MERGE is that it feels almost cursor-like – the UPDATE bit feels like “WHERE CURRENT OF …”, and the INSERT bit feels like a single-row insert. And it is – but into the inserted and deleted tables. The operations to maintain the HoBTs are still done using the whole set of changes, which is very cool. And $action – very convenient. But as cool as $action is, that’s not the point of my post. If it were, I hope you’d all be disappointed, as you can’t really go near the MERGE statement without learning about it. The subtle thing that I love about MERGE with OUTPUT is that you can hook into more than just inserted and deleted. Did you notice in my earlier query that my source table had a ‘src’ field, that wasn’t used in the insert? Normally, this would be somewhat pointless to include in my source query. But with MERGE, I can put that in the OUTPUT clause. This is useful stuff, particularly when you’re needing to audit the changes. Suppose your query involved consolidating data from a number of sources, but you didn’t need to insert that into the actual table, just into a table for audit. This is now very doable, either using the INTO clause of OUTPUT, or surrounding the whole MERGE statement in brackets (parentheses if you’re American) and using a regular INSERT statement. This is also doable if you’re using MERGE to just do INSERTs. In case you hadn’t realised, you can use MERGE in place of an INSERT statement. It’s just like the UPSERT-style statement we’ve just seen, except that we want nothing to match. That’s easy to do, we just use ON 1=2. This is obviously more convoluted than a straight INSERT. And it’s slightly more effort for the database engine too. But, if you want the extra audit capabilities, the ability to hook into the other source columns is definitely useful. Oh, and before people ask if you can also hook into the target table’s columns... Yes, of course. That’s what deleted and inserted give you.

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  • Q&amp;A: Will my favourite ORM Foo work with SQL Azure?

    - by Eric Nelson
    short answer: Quite probably, as SQL Azure is very similar to SQL Server longer answer: Object Relational Mappers (ORMs) that work with SQL Server are likely but not guaranteed to work with SQL Azure. The differences between the RDBMS versions are small – but may cause problems, for example in tools used to create the mapping between objects and tables or in generated SQL from the ORM which expects “certain things” :-) More specifically: ADO.NET Entity Framework / LINQ to Entities can be used with SQL Azure, but the Visual Studio designer does not currently work. You will need to point the designer at a version of your database running of SQL Server to create the mapping, then change the connection details to run against SQL Azure. LINQ to SQL has similar issues to ADO.NET Entity Framework above NHibernate can be used against SQL Azure DevExpress XPO supports SQL Azure from version 9.3 DataObjects.Net supports SQL Azure Open Access from Telerik works “seamlessly”  - their words not mine :-) The list above is by no means comprehensive – please leave a comment with details of other ORMs that work (or do not work) with SQL Azure. Related Links: General guidelines and limitations of SQL Azure SQL Azure vs SQL Server

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  • A little on speaking and evaluations...

    - by AaronBertrand
    Buck Woody ( blog | twitter ) just published a great post on session evaluations , and a lot of his points hit home for me. The premise is that the evaluations are not really meant for the attendee or the event organizers, but so that the speaker can get better and make the next session better. In light of this, at least in my opinion, the existing evaluation forms (and the way attendees tend to fill them out) do not achieve this at all. It may be a little more work for events to generate a more...(read more)

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  • Denali CTP3 - Semantic Search 2 (Lots of documents)

    - by sqlartist
    Hi again, I thought I would improve on the previous post by actually putting a decent about of content into the Filetable - this time I used the opensource DMOZ Health document repository which contains 5,880 files inside 220 folders. The files are all html and are pretty small in size. The entire document collection is about 120Mb unzipped and 30Mb zipped. If any one is interested in testing this collection drop me a note and I will upload the dmoz_health repository archive to Skydrive. This time...(read more)

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  • T-SQL Tuesday #19: Blind Spots

    - by merrillaldrich
    A while ago I wrote a post, Visualize Disaster , prompted by a real incident we had at my office. Fortunately we came through it OK from a business point of view, but I took away an important lesson: it’s very easy, whether your organization and your team is savvy about disaster recovery or not, to have significant blind spots with regard to recovery in the face of some large, unexpected outage. We have very clear direction and decent budgets to work with, and the safety and recoverability of applications...(read more)

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  • Scream if you want to go faster

    - by simonsabin
    My session for 24hrs of pass on High Performance functions will be starting at 11:00 GMT thats migdnight for folks in the UK. To attend follow this link https://www.livemeeting.com/cc/8000181573/join?id=N5Q8S7&role=attend&pw=d2%28_KmN3r The rest of the sessions can be found here http://www.sqlpass.org/24hours/2010/Sessions/ChronologicalOrder.aspx So far the sessions have been great so no pressure :( See you there in 4.5 hrs...(read more)

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  • T-SQL (SCD) Slowly Changing Dimension Type 2 using a merge statement

    - by AtulThakor
    Working on stored procedure recently which loads records into a data warehouse I found that the existing record was being expired using an update statement followed by an insert to add the new active record. Playing around with the merge statement you can actually expire the current record and insert a new record within one clean statement. This is how the statement works, we do the normal merge statement to insert a record when there is no match, if we match the record we update the existing record by expiring it and deactivating. At the end of the merge statement we use the output statement to output the staging values for the update,  we wrap the whole merge statement within an insert statement and add new rows for the records which we inserted. I’ve added the full script at the bottom so you can paste it and play around.   1: INSERT INTO ExampleFactUpdate 2: (PolicyID, 3: Status) 4: SELECT -- these columns are returned from the output statement 5: PolicyID, 6: Status 7: FROM 8: ( 9: -- merge statement on unique id in this case Policy_ID 10: MERGE dbo.ExampleFactUpdate dp 11: USING dbo.ExampleStag s 12: ON dp.PolicyID = s.PolicyID 13: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 14: INSERT (PolicyID,Status) 15: VALUES (s.PolicyID, s.Status) 16: WHEN MATCHED --if it already exists 17: AND ExpiryDate IS NULL -- and the Expiry Date is null 18: THEN 19: UPDATE 20: SET 21: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 22: dp.Active = 0 -- and deactivate the existing record 23: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 24: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 25: WHERE -- we'll filter using a where clause 26: MergeAction = 'Update'; -- here   Complete source for example 1: if OBJECT_ID('ExampleFactUpdate') > 0 2: drop table ExampleFactUpdate 3:  4: Create Table ExampleFactUpdate( 5: ID int identity(1,1), 3: go 6: PolicyID varchar(100), 7: Status varchar(100), 8: EffectiveDate datetime default getdate(), 9: ExpiryDate datetime, 10: Active bit default 1 11: ) 12:  13:  14: insert into ExampleFactUpdate( 15: PolicyID, 16: Status) 17: select 18: 1, 19: 'Live' 20:  21: /*Create Staging Table*/ 22: if OBJECT_ID('ExampleStag') > 0 23: drop table ExampleStag 24: go 25:  26: /*Create example fact table */ 27: Create Table ExampleStag( 28: PolicyID varchar(100), 29: Status varchar(100)) 30:  31: --add some data 32: insert into ExampleStag( 33: PolicyID, 34: Status) 35: select 36: 1, 37: 'Lapsed' 38: union all 39: select 40: 2, 41: 'Quote' 42:  43: select * 44: from ExampleFactUpdate 45:  46: select * 47: from ExampleStag 48:  49:  50: INSERT INTO ExampleFactUpdate 51: (PolicyID, 52: Status) 53: SELECT -- these columns are returned from the output statement 54: PolicyID, 55: Status 56: FROM 57: ( 58: -- merge statement on unique id in this case Policy_ID 59: MERGE dbo.ExampleFactUpdate dp 60: USING dbo.ExampleStag s 61: ON dp.PolicyID = s.PolicyID 62: WHEN NOT MATCHED THEN -- when we cant match the record we insert a new record record and this is all that happens 63: INSERT (PolicyID,Status) 64: VALUES (s.PolicyID, s.Status) 65: WHEN MATCHED --if it already exists 66: AND ExpiryDate IS NULL -- and the Expiry Date is null 67: THEN 68: UPDATE 69: SET 70: dp.ExpiryDate = getdate(), --we set the expiry on the existing record 71: dp.Active = 0 -- and deactivate the existing record 72: OUTPUT $Action MergeAction, s.PolicyID, s.Status -- the output statement returns a merge action which can 73: ) MergeOutput -- be insert/update/delete, on our example where a record has been updated (or expired in our case 74: WHERE -- we'll filter using a where clause 75: MergeAction = 'Update'; -- here 76:  77:  78: select * 79: from ExampleFactUpdate 80: 

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  • Make huge space savings by using SPARSE columns

    - by simonsabin
    I’ve blogged before about Getting more than 1024 columns on a table , this is done by using sparse columns. Whilst this is potentially useful for people with insane table designs, sparse columns aren’t just for this. My experience over the past few years has shown that sparse columns are useful for almost all databases when you have columns that are largely null i.e. sparse. A recent client was able to reduce the size of the table by 60% by changing columns to sparse. The way this is achieved is...(read more)

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  • Wait Statistics in Microsoft SQL Server

    - by KKline
    When it comes to troubleshooting in relational databases, there's no better place to start than wait statistics. In a nutshell, a wait statistic is an internal counter that tells you how long the database spent waiting for a particular resource, activity, or process. Since wait statistics are categorized by type, one look will quickly tell the variety of problem that needs your attention, assuming you know meaning for Microsoft's lingo for each wait type....(read more)

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  • ServerName no longer works as SQL Server 2008 Default instance name?

    - by TomK
    Folks, Somehow in struggling to install something (Sage MIP), I have unsettled my system's SQL Server 2008 instance names. If I fired up SSMS and connected to "MySystemName" (while logged into MySystemName), I used to immediately connect and could view my databases. Now if I connect to "(local)" or "." I connect just fine...but "MySystemName" gives me a timeout error. If I log in with "." and do "SELECT @@SERVERNAME" it comes back with "MySystemName" just fine. I've double checked that my network name is in the Security\Logins list, and it is, as a dbadmin. Any suggestions? I thought that having SQL Server 2005 Express might be a problem (the "battle of the default instances"), so I uninstalled that. No better.

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  • TFS SQL Deployment Data Script

    - by Greg
    We are using TFS and SQL 2005 (looking to upgrade to SQL 2012 if that makes a difference). We store our database schema in a Visual Studio Database project (VS 2010). When code is released to live we currently use the Visual Studio Database Project to build a script for all our schema changes. The problem we have been getting is having to alter or add to that script to add/fix data for the deployment. For example if we add a new non-nullable column to an existing table we need to populate that column with data during the insert. Other times we may want to create new records in transactional tables (e.g. assign specific users to a new security access). Do Visual Studio Database Projects have a way to store these scripts that only need to be run once and somehow include them in the build? Does it know which scripts need to be run (for example if we are inserting default data we don't want to do that again a second time)? OR Is there a better way to manage these scripts?

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  • SQL language drawbacks, The Third Manifesto

    - by David Portabella
    Sometime ago I read about SQL language drawbacks (the basic language specification, not vendor specific), and one of the drawbacks was that the language does not allow to create a set of tuples that don't come from a table. For instance, SELECT firstName, lastName from people; this creates a set of tuples coming from the table people. Now, if I don't have this table people, and I want to return a constant, I'd need something like this to return a set of two tuples (this would not require to have a table): SELECT VALUES('james', 'dean'), ('tom', 'cruisse'); Why I would need that? Because of the same reasons that we can define constants (not only basic types, but objects and arrays also) in any advanced programming language. Workarounds, Yes, I could create a temporal table, fill the data, and SELECT from that table. This is a hack, to overcome the drawbacks of the poor SQL language. I think that I read about this somewhere in "The Third Manifesto", but I don't find the paragraph/example talking about this concrete drawback anymore. Do you know a reference about it?

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  • June 2013 release of SSDT contains a minor bug that you should be aware of

    - by jamiet
    I have discovered what seems, to me, like a bug in the June 2013 release of SSDT and given the problems that it created yesterday on my current gig I thought it prudent to write this blog post to inform people of it. I’ve built a very simple SSDT project to reproduce the problem that has just two tables, [Table1] and [Table2], and also a procedure [Procedure1]: The two tables have exactly the same definition, both a have a single column called [Id] of type integer. CREATE TABLE [dbo].[Table1] (     [Id] INT NOT NULL PRIMARY KEY ) My stored procedure simply joins the two together, orders them by the column used in the join predicate, and returns the results: CREATE PROCEDURE [dbo].[Procedure1] AS     SELECT t1.*     FROM    Table1 t1     INNER JOIN Table2 t2         ON    t1.Id = t2.Id     ORDER BY Id Now if I create those three objects manually and then execute the stored procedure, it works fine: So we know that the code works. Unfortunately, SSDT thinks that there is an error here: The text of that error is: Procedure: [dbo].[Procedure1] contains an unresolved reference to an object. Either the object does not exist or the reference is ambiguous because it could refer to any of the following objects: [dbo].[Table1].[Id] or [dbo].[Table2].[Id]. Its complaining that the [Id] field in the ORDER BY clause is ambiguous. Now you may well be thinking at this point “OK, just stick a table alias into the ORDER BY predicate and everything will be fine!” Well that’s true, but there’s a bigger problem here. One of the developers at my current client installed this drop of SSDT and all of a sudden all the builds started failing on his machine – he had errors left right and centre because, as it transpires, we have a fair bit of code that exhibits this scenario.  Worse, previous installations of SSDT do not flag this code as erroneous and therein lies the rub. We immediately had a mass panic where we had to run around the department to our developers (of which there are many) ensuring that none of them should upgrade their SSDT installation if they wanted to carry on being productive for the rest of the day. Also bear in mind that as soon as a new drop of SSDT comes out then the previous version is instantly unavailable so rolling back is going to be impossible unless you have created an administrative install of SSDT for that previous version. Just thought you should know! In the grand schema of things this isn’t a big deal as the bug can be worked around with a simple code modification but forewarned is forearmed so they say! Last thing to say, if you want to know which version of SSDT you are running check my blog post Which version of SSDT Database Projects do I have installed? @Jamiet

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  • When adding second processor to SQL Server, will it automatically balance the load?

    - by ddavis
    We have a SQL Server 2008 R2 (10.5) on a dedicated box with a single 2.4Ghz processor, which regularly runs at 70-80% CPU. We are going to be adding a significant number of users to the application and therefore want to add a second processor to the box (scale up). Will SQL Server automatically use the second processor to balance threads, or is there additional configuration that will need to be done? In other words, will adding the second processor drop my CPU usage to 35-40% per CPU, automatically balancing the load? Based on what I read here, it seems that it will: http://msdn.microsoft.com/en-us/library/ms181007.aspx However, I've read elsewhere that CPU performance gains can be made by assigning database tables to different filegroups, but I'm not sure we want to get that complicated at this point.

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  • SQL Insert Into Statement

    - by Derek Dieter
    The “insert into” statement is used in order to insert data into an existing table. The syntax for this is fairly simple. In the first section of the statement, you specify the table name and column names in which you are inserting data into. The second part is where the source of [...]

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  • SQL database testing: How to capture state of my database for rollback.

    - by Rising Star
    I have a SQL server (MS SQL 2005) in my development environment. I have a suite of unit tests for some .net code that will connect to the database and perform some operations. If the code under test works correctly, then the database should be in the same (or similar) state to how it was before the tests. However, I would like to be able to roll back the database to its state from before the tests run. One way of doing this would be to programmatically use transactions to roll back each test operation, but this is difficult and cumbersome to program; it could easily lead to errors in the test code. I would like to be able to run my tests confidently knowing that if they destroy my tables, I can quickly restore them? What is a good way to save a snapshot of one of my databases with its tables so that I can easily restore the database to it's state from before the test?

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  • Best method to implement a filtered search

    - by j0N45
    I would like to ask you, your opinion when it comes to implement a filtered search form. Let's imagine the following case: 1 Big table with lots of columns It might be important to say that this SQL Server You need to implement a form to search data in this table, and in this form you'll have several check boxes that allow you to costumize this search. Now my question here is which one of the following should be the best way to implement the search? Create a stored procedure with a query inside. This stored procedure will check if the parameters are given by the application and in the case they are not given a wildcard will be putted in the query. Create a dynamic query, that is built accordingly to what is given by the application. I am asking this because I know that SQL Server creates an execution plan when the stored procedure is created, in order to optimize its performance, however by creating a dynamic query inside of the stored procedure will we sacrifice the optimization gained by the execution plan? Please tell me what would be the best approach in your oppinion.

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  • SQL*Plus??? - SPOOL??????(????? ???Tips-5)

    - by Yuichi.Hayashi
    SQL??????????????????????????????????????SPOOL?????????????? ???SPOOL??????????????????????????????? ????????? ????????????????????????????????????????????????????????????????????    $ sqlplus @sample.sql > /dev/null ??????????????????????????????? ??????????SPOOL????????????????? arraysize???????? arraysize???????SELECT??????fetch?????????SQL*Plus????????? ????????SPOOL????????SELECT???????????? SPOOL????     SQL> set array[size] 100 ????????fetch?100?????????????15???? ???????????????????????????????????????????????????? ????????????????????????????????????????????????????????????? ?????????????????????????????????????????????? ?????????? SPOOL?????????????1?????linesize???????????????????????????????? ????????????????????????????????????????? ????????????SPOOL????    SQL> set trims[pool] on ????????????off???????????????? ?????????? ???????????????SQL*Plus????????????1????????????????????????????????????????????????????????? ??????????????????????   (Written by Hiroyuki Nakaie) ?????SQL*Plus TIPS???????????????? Oracle SQL*Plus - ??, ??, ?????

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  • ???????/????????????????? SQL????????? ??? Part1&2

    - by Yusuke.Yamamoto
    ????? ??:2010/10/12 ??:??????/?? ????????????????????????????????????????????SQL????????????????????????????????????????????????????SQL??????????????????????????????????????????????????SQL???????????????????????????????????????????????????!! ??????SQL???????????????/ SQL?????????????SQL????????????????SQL???????????????????:????SQL??????/ SQL?????????SQL???????????????????:?????SQL??????/ ??????·???????????????????????(???????????????·??)??? ????????? ????????????????? http://otndnld.oracle.co.jp/ondemand/otn-seminar/movie/OCSTuning12_10121330.wmv http://www.oracle.com/technology/global/jp/ondemand/otn-seminar/pdf/SQL.pdf

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  • Handling inheritance with overriding efficiently

    - by Fyodor Soikin
    I have the following two data structures. First, a list of properties applied to object triples: Object1 Object2 Object3 Property Value O1 O2 O3 P1 "abc" O1 O2 O3 P2 "xyz" O1 O3 O4 P1 "123" O2 O4 O5 P1 "098" Second, an inheritance tree: O1 O2 O4 O3 O5 Or viewed as a relation: Object Parent O2 O1 O4 O2 O3 O1 O5 O3 O1 null The semantics of this being that O2 inherits properties from O1; O4 - from O2 and O1; O3 - from O1; and O5 - from O3 and O1, in that order of precedence. NOTE 1: I have an efficient way to select all children or all parents of a given object. This is currently implemented with left and right indexes, but hierarchyid could also work. This does not seem important right now. NOTE 2: I have tiggers in place that make sure that the "Object" column always contains all possible objects, even when they do not really have to be there (i.e. have no parent or children defined). This makes it possible to use inner joins rather than severely less effiecient outer joins. The objective is: Given a pair of (Property, Value), return all object triples that have that property with that value either defined explicitly or inherited from a parent. NOTE 1: An object triple (X,Y,Z) is considered a "parent" of triple (A,B,C) when it is true that either X = A or X is a parent of A, and the same is true for (Y,B) and (Z,C). NOTE 2: A property defined on a closer parent "overrides" the same property defined on a more distant parent. NOTE 3: When (A,B,C) has two parents - (X1,Y1,Z1) and (X2,Y2,Z2), then (X1,Y1,Z1) is considered a "closer" parent when: (a) X2 is a parent of X1, or (b) X2 = X1 and Y2 is a parent of Y1, or (c) X2 = X1 and Y2 = Y1 and Z2 is a parent of Z1 In other words, the "closeness" in ancestry for triples is defined based on the first components of the triples first, then on the second components, then on the third components. This rule establishes an unambigous partial order for triples in terms of ancestry. For example, given the pair of (P1, "abc"), the result set of triples will be: O1, O2, O3 -- Defined explicitly O1, O2, O5 -- Because O5 inherits from O3 O1, O4, O3 -- Because O4 inherits from O2 O1, O4, O5 -- Because O4 inherits from O2 and O5 inherits from O3 O2, O2, O3 -- Because O2 inherits from O1 O2, O2, O5 -- Because O2 inherits from O1 and O5 inherits from O3 O2, O4, O3 -- Because O2 inherits from O1 and O4 inherits from O2 O3, O2, O3 -- Because O3 inherits from O1 O3, O2, O5 -- Because O3 inherits from O1 and O5 inherits from O3 O3, O4, O3 -- Because O3 inherits from O1 and O4 inherits from O2 O3, O4, O5 -- Because O3 inherits from O1 and O4 inherits from O2 and O5 inherits from O3 O4, O2, O3 -- Because O4 inherits from O1 O4, O2, O5 -- Because O4 inherits from O1 and O5 inherits from O3 O4, O4, O3 -- Because O4 inherits from O1 and O4 inherits from O2 O5, O2, O3 -- Because O5 inherits from O1 O5, O2, O5 -- Because O5 inherits from O1 and O5 inherits from O3 O5, O4, O3 -- Because O5 inherits from O1 and O4 inherits from O2 O5, O4, O5 -- Because O5 inherits from O1 and O4 inherits from O2 and O5 inherits from O3 Note that the triple (O2, O4, O5) is absent from this list. This is because property P1 is defined explicitly for the triple (O2, O4, O5) and this prevents that triple from inheriting that property from (O1, O2, O3). Also note that the triple (O4, O4, O5) is also absent. This is because that triple inherits its value of P1="098" from (O2, O4, O5), because it is a closer parent than (O1, O2, O3). The straightforward way to do it is the following. First, for every triple that a property is defined on, select all possible child triples: select Children1.Id as O1, Children2.Id as O2, Children3.Id as O3, tp.Property, tp.Value from TriplesAndProperties tp -- Select corresponding objects of the triple inner join Objects as Objects1 on Objects1.Id = tp.O1 inner join Objects as Objects2 on Objects2.Id = tp.O2 inner join Objects as Objects3 on Objects3.Id = tp.O3 -- Then add all possible children of all those objects inner join Objects as Children1 on Objects1.Id [isparentof] Children1.Id inner join Objects as Children2 on Objects2.Id [isparentof] Children2.Id inner join Objects as Children3 on Objects3.Id [isparentof] Children3.Id But this is not the whole story: if some triple inherits the same property from several parents, this query will yield conflicting results. Therefore, second step is to select just one of those conflicting results: select * from ( select Children1.Id as O1, Children2.Id as O2, Children3.Id as O3, tp.Property, tp.Value, row_number() over( partition by Children1.Id, Children2.Id, Children3.Id, tp.Property order by Objects1.[depthInTheTree] descending, Objects2.[depthInTheTree] descending, Objects3.[depthInTheTree] descending ) as InheritancePriority from ... (see above) ) where InheritancePriority = 1 The window function row_number() over( ... ) does the following: for every unique combination of objects triple and property, it sorts all values by the ancestral distance from the triple to the parents that the value is inherited from, and then I only select the very first of the resulting list of values. A similar effect can be achieved with a GROUP BY and ORDER BY statements, but I just find the window function semantically cleaner (the execution plans they yield are identical). The point is, I need to select the closest of contributing ancestors, and for that I need to group and then sort within the group. And finally, now I can simply filter the result set by Property and Value. This scheme works. Very reliably and predictably. It has proven to be very powerful for the business task it implements. The only trouble is, it is awfuly slow. One might point out the join of seven tables might be slowing things down, but that is actually not the bottleneck. According to the actual execution plan I'm getting from the SQL Management Studio (as well as SQL Profiler), the bottleneck is the sorting. The problem is, in order to satisfy my window function, the server has to sort by Children1.Id, Children2.Id, Children3.Id, tp.Property, Parents1.[depthInTheTree] descending, Parents2.[depthInTheTree] descending, Parents3.[depthInTheTree] descending, and there can be no indexes it can use, because the values come from a cross join of several tables. EDIT: Per Michael Buen's suggestion (thank you, Michael), I have posted the whole puzzle to sqlfiddle here. One can see in the execution plan that the Sort operation accounts for 32% of the whole query, and that is going to grow with the number of total rows, because all the other operations use indexes. Usually in such cases I would use an indexed view, but not in this case, because indexed views cannot contain self-joins, of which there are six. The only way that I can think of so far is to create six copies of the Objects table and then use them for the joins, thus enabling an indexed view. Did the time come that I shall be reduced to that kind of hacks? The despair sets in.

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