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• New Samples on MSDN Code Gallery

  - by mattande

  (This post was contributed by John Burrows, Lead Program Manager for the MDS Team) A couple of new samples have been posted to the MSDN Code Gallery; two sample models that illustrate recursive and explicit cap hierarchies and a Visual Studio solution that contains an example of calling the Model Deployment API via code. Sample Models Employees The Employee sample model contains the employees of a fictitious Winery “Coho Winery” that has a legal structure in the form of three subsidiaries and an...(read more)

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• Install Base Transaction Error Troubleshooting

  - by LuciaC

  Oracle Installed Base is an item instance life cycle tracking application that facilitates enterprise-wide life cycle item management and tracking capability.In a typical process flow a sales order is created and shipped, this updates Inventory and creates a new item instance in Install Base (IB).  The Inventory update results in a record being placed in the SFM Event Queue.  If the record is successfully processed the IB tables are updated, if there is an error the record is placed in the csi_txn_errors table and the error needs to be resolved so that the IB instance can be created.It's extremely important to be proactive and monitor IB Transaction Errors regularly.  Errors cascade and can build up exponentially if not resolved. Due to this cascade effect, error records need to be considered as a whole and not individually; the root cause of any error needs to be resolved first and this may result in the subsequent errors resolving themselves. Install Base Transaction Error Diagnostic Program In the past the IBtxnerr.sql script was used to diagnose transaction errors, this is now replaced by an enhanced concurrent program version of the script. See the following note for details of how to download, install and run the concurrent program as well as details of how to interpret the results: Doc ID 1501025.1 - Install Base Transaction Error Diagnostic Program  The program provides comprehensive information about the errors found as well as links to known knowledge articles which can help to resolve the specific error. Troubleshooting Watch the replay of the 'EBS CRM: 11i and R12 Transaction Error Troubleshooting - an Overview' webcast or download the presentation PDF (go to Doc ID 1455786.1 and click on 'Archived 2011' tab).  The webcast and PDF include more information, including SQL statements that you can use to identify errors and their sources as well as recommended setup and troubleshooting tips. Refer to these notes for comprehensive information: Doc ID 1275326.1: E-Business Oracle Install Base Product Information Center Doc ID 1289858.1: Install Base Transaction Errors Master Repository Doc ID: 577978.1: Troubleshooting Install Base Errors in the Transaction Errors Processing Form  Don't forget your Install Base Community where you can ask questions to help you resolve your IB transaction errors.

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• ALL, ALLEXCEPT and VALUES in DAX

  - by Marco Russo (SQLBI)

  When you use CALCULATE in DAX you are creating a new filter context for the calculation, based on the existing one. There are a few functions that are used to clear or preserve a column filter. These functions are: ALL – it can be used with one or more columns from a table, or with the name of a table. It returns all the values from the column(s) or all the rows from the table, ignoring any existing filter context. In other words, ALL clear an existing filter context on columns or table. We can use...(read more)

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• Worst code I've written in a while

  - by merrillaldrich

  Here's a nice, compact bit of WTF-ery I had to write for a prod issue today: Again: UPDATE TOP ( 1 ) dbo . someTable SET field3 = 'NEW' WHERE field2 = 'NEW' AND field3 = '' IF @@ROWCOUNT > 0 GOTO Again Can you guess from the code what awesomesauce issues I was working around? This was a reminder for me that sometimes there is time to do it right, but sometimes you just have to do it now. I need that lesson sometimes, as I tend to be a perfectionist. If you are trying to do it right , please don't...(read more)

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• How to get innovation in product development?

  - by simonsabin

  I was at Redgate last week and say plastered all over the canteen wall flip chart sheets with ideas scrawled over them. I was going to take a photo but thought it might not be allowed. I asked what it was all about and they told me that ALL the development team are going to stop working on what they are doing and do whatever they want. Whatever they want? yes So thats the whole team working on something? No, it can be individual or in groups. Having worked in product teams before I and the others...(read more)

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• Working with legacy data

  - by John Paul Cook

  We encounter legacy data as a part of life. Colleges and universities have transcript records dating back decades or even centuries. Real estate property records in the United States go as far back as Spanish and British land grants in the 1500s. Very old records are completely paper based and may be completely manually prepared, perhaps typed on a typewriter or written in longhand with a quill pen. How long should transcripts be retained? Nola Ochs graduated from college at age 95 (can you imagine...(read more)

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• Fast Track Data Warehouse 3.0 Reference Guide

  - by jchang

  Microsoft just release Fast Track Data Warehouse 3.0 Reference Guide version. The new changes are increased memory recommendation and the disks per RAID group change from 2-disk RAID 1 to 4-Disk RAID 10. Memory The earlier FTDW reference architecture cited 4GB memory per core. There was no rational behind this, but it was felt some rule was better than no rule. The new FTDW RG correctly cites the rational that more memory helps keep hash join intermediate results and sort operations in memory. 4-Disk...(read more)

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• CIOs: Stop Mandating Training

  - by merrillaldrich

  I love to learn about new technology, and I especially love a long deep-dive technical session with a real expert or a well-crafted, inches thick technical book. Even if either one is expensive. Learning is probably my favorite thing to do. Yet I stand before you with an appeal: Stop “sending people to training.” Why would I say such a thing? Because failure is baked right into that very phrase: “sending people to training.” Death by Training Most of us in the IT world have probably experienced this...(read more)

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• Investigating on xVelocity (VertiPaq) column size

  - by Marco Russo (SQLBI)

    In January I published an article about how to optimize high cardinality columns in VertiPaq. In the meantime, VertiPaq has been rebranded to xVelocity: the official name is now “xVelocity in-memory analytics engine (VertiPaq)” but using xVelocity and VertiPaq when we talk about Analysis Services has the same meaning. In this post I’ll show how to investigate on columns size of an existing Tabular database so that you can find the most important columns to be optimized. A first approach can be looking in the DataDir of Analysis Services and look for the folder containing the database. Then, look for the biggest files in all subfolders and you will find the name of a file that contains the name of the most expensive column. However, this heuristic process is not very optimized. A better approach is using a DMV that provides the exact information. For example, by using the following query (open SSMS, open an MDX query on the database you are interested to and execute it) you will see all database objects sorted by used size in a descending way. SELECT * FROM $SYSTEM.DISCOVER_STORAGE_TABLE_COLUMN_SEGMENTS ORDER BY used_size DESC You can look at the first rows in order to understand what are the most expensive columns in your tabular model. The interesting data provided are: TABLE_ID: it is the name of the object – it can be also a dictionary or an index COLUMN_ID: it is the column name the object belongs to – you can also see ID_TO_POS and POS_TO_ID in case they refer to internal indexes RECORDS_COUNT: it is the number of rows in the column USED_SIZE: it is the used memory for the object By looking at the ration between USED_SIZE and RECORDS_COUNT you can understand what you can do in order to optimize your tabular model. Your options are: Remove the column. Yes, if it contains data you will never use in a query, simply remove the column from the tabular model Change granularity. If you are tracking time and you included milliseconds but seconds would be enough, round the data source column to the nearest second. If you have a floating point number but two decimals are good enough (i.e. the temperature), round the number to the nearest decimal is relevant to you. Split the column. Create two or more columns that have to be combined together in order to produce the original value. This technique is described in VertiPaq optimization article. Sort the table by that column. When you read the data source, you might consider sorting data by this column, so that the compression will be more efficient. However, this technique works better on columns that don’t have too many distinct values and you will probably move the problem to another column. Sorting data starting from the lower density columns (those with a few number of distinct values) and going to higher density columns (those with high cardinality) is the technique that provides the best compression ratio. After the optimization you should be able to reduce the used size and improve the count/size ration you measured before. If you are interested in a longer discussion about internal storage in VertiPaq and you want understand why this approach can save you space (and time), you can attend my 24 Hours of PASS session “VertiPaq Under the Hood” on March 21 at 08:00 GMT.

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• Speaking at PASS 2012 Summit in Seattle #sqlpass

  - by Marco Russo (SQLBI)

  I will deliver two sessions at the next PASS Summit 2012: one is title Inside DAX Query Plans and the other is Near Real-Time Analytics with xVelocity (without DirectQuery).These will be two sessions that require a lot of preparation and even if I have already much to say, I still have a long work to do this summer in order to go deeper in several details that I want to investigate for completing these sessions.I already look forward to come back in Seattle!In the meantime, you have to study SSAS Tabular and if you want to get a real jumpstart why not attending one of the next SSAS Tabular Workshop Online? We are working on more dates for this fall, but there are a few dates already scheduled.And, last but not least, the early Rough Cuts edition of our upcoming SSAS Tabular book is finally available here (really near to the final print)!

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• Windows Not Sleeping All Night

  - by John Paul Cook

  Having a computer wake up when you don’t want it to wastes electricity and drains the battery on mobile devices. My desktop had been waking up at night, so I assumed it was some network traffic on my home network. I unchecked Allow this device to wake the computer on my network adapters . Figure 1. Network adapter Power Management tab. That didn’t solve the problem. I included the screen capture in Figure 1 because it could be part of the solution for someone else. To identify the root cause instead...(read more)

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• Feedback from SQLBits 8

  - by Peter Larsson

  This years SQLBits occurred in Brighton. Although I didn’t have the opportunity to attend the full conference, I did a presentation at Saturday. Getting to Brighton was easy. Drove to Copenhagen airport at 0415, flew 0605 and arrived at Gatwick 0735. Then I took the direct train to Brighton and showed up at 0830, just one hour before presenting. This was the easy part. Getting home was much worse. Presentation ended at 1030 and I had to rush to the train station to get back to London, change to tube for Heathrow. Made it at the gate just 15 seconds before closing. That included a half mile run in the airport… Anyway, yesterday I got the feedback for my presentation. It does look good, especially since English is not my first language. This is the first graph Seems to be just halfway between conference average and best session. I can live with that. Second graph shows more detail about attendees voting. It also look acceptable. A wider spread for the 9’s, but it is an inevitable effect from how attendees percept the session. I did get a lot of 8’s and the lower grades in an descending order. The two people voting 4 and 5 didn’t say why they voted this so I don’t know how to remedy this. Third graph is about each category of votes.   Again, I find this acceptable. The Session abstract and Speaker’s knowledge seems to follow attendees expectations compared to conference average. I seem to have met the attendees expectations (and some more) for the other four categories, also compared to conference average. Since this did encourage me, I believe I will present some more at future meetings. I do have a new presentation about something all developers are doing every day but they may not know it. I will also cover this new topic in the next Deep Dives II book. Stay tuned! //Peter

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• How to change password schema for Dovecot user authentication for an already existing mail server

  - by deb_lrnr

  Hello, I have an email server setup on Debian Lenny with Postfix, Dovecot, SASL and MySQL. Currently, the password scheme in my dovecot-sql.conf file is set to: CRYPT default_pass_scheme = CRYPT I would like to globally change the scheme to something stronger like SSHA, or MD5-CRYPT and re-hash all passwords with SSHA. What is the best way to do this? The Dovecot wiki mentions how passwords that don't follow the default scheme defined in dovecot-sql.conf can be prefixed with "{ssha}password", but I couldn't see anything regarding changing an already-existing scheme to a new one for all passwords that are already in the database. Thanks for your help!

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• Analysing SQLBits Feedback

  - by jamiet

  Earlier this week I received all the feedback that people offered on my session at SQLBits 7 in York – “SSIS Dataflow Performance Tuning” (the video is available online if you wish to see it). As you may have gathered from previous posts on this blog and my less-SQLy-focused Wordpress blog I am a big fan of collecting and tracking both personal and public data and session feedback lends itself very well to tracking because it is quantitative rather than qualitative; by that I mean attendees are invited to provide marks out of ten rather than (or, in the case of SQLBits, as well as) written comments. The SQLBits feedback is also useful because they use a consistent format – the same questions are asked each time – this means it is particularly easy to to track whether the scores that people give are trending up or down. I suspect that somewhere the SQLBits organisers have a big Analysis Services cube (ok, perhaps its an Excel pivot table) that allows them to analyse these scores per conference, speaker, track etc.… and there’s no reason that we as session speakers cannot do the same thing. To that end I have started to store my feedback in an Excel spreadsheet of my own which in the interests of transparency is available for public viewing (only a web browser required) on SkyDrive at http://cid-550f681dad532637.office.live.com/view.aspx/Public/Misc/Personal%20SQLBits%20Session%20Feedback.xlsx. I have used a pivot table to aggregate all that feedback and here is a screenshot: I am hereby making a public plea to the SQLBits organisers (on the off-chance that they are reading) to please continue to keep the feedback format consistent in the future and I encourage them to publish all of the feedback in an anonymised form. I would also encourage anyone doing conference speaking to track their conference feedback in the same way that I am doing so that you get an insight into whether or not you are improving over time. It is not difficult to setup and maintaining it as you do more sessions takes very little effort. Storing feedback data like this leads me to wider thoughts about well-known conventions and data format standardisation. Let’s imagine a utopia where there were a standard set of questions for capturing session feedback that were leveraged at every conference regardless of subject matter, location or culture; that would give rise to immense cross-conference and cross-discipline analysis – the data analyst in me goes giddy at the thought of it. It is scenarios like this that drive my interest both in data formats such as iCalendar, microformats and RDF, and in emerging movements such as the semantic web and linked data, all things which I have written about in the past. I don’t know whether we will ever reach the stage where every piece of data has structured, descriptive metadata associated with it but I live in hope. @Jamiet

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• Human Resources Sucks

  - by andyleonard

  Introduction This post is the twenty-seventh part of a ramble-rant about the software business. The current posts in this series are: Goodwill, Negative and Positive Visions, Quests, Missions Right, Wrong, and Style Follow Me Balance, Part 1 Balance, Part 2 Definition of a Great Team The 15-Minute Meeting Metaproblems: Drama The Right Question Software is Organic, Part 1 Metaproblem: Terror I Don't Work On My Car A Turning Point Human Doings Everything Changes Getting It Right The First Time One-Time...(read more)

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• The best computer ever

  - by Jeff

  (This is a repost from my personal blog… wow… I need to write more technical stuff!) About three years and three months ago, I bought a 17" MacBook Pro, and it turned out to be the best computer I've ever owned. You might think that every computer with better specs is automatically better than the last, but that hasn't been my experience. My first one was a Sony, back in the Pentium III days, and it cost an astonishing $2,500. That was even more ridiculous in 1999 dollars. It had a dial-up modem, and a CD-ROM, built-in! It may have even played DVD's. A few years later I bought an HP, and it ended up being a pile of shit. The power connector inside came loose from the board, and on occasion would even short. In 2005, I bought a Dell, and it wasn't bad. It had a really high resolution screen (complete with dead pixels, a problem in those days), and it was the first laptop I felt I could do real work on. When 2006 rolled around, Apple started making computers with Intel CPU's, and I bought the very first one the week it came out. I used Boot Camp to run Windows. I still have it in its box somewhere, and I used it for three years. The current 17" was new in 2009. The goodness was largely rooted in having a big screen with lots of dots. This computer has been the source of hundreds of blog posts, tens of thousands of lines of code, video and photo editing, and of course, a whole lot of Web surfing. It connected to corpnet at Microsoft, WiFi in Hawaii and has presented many a deck. It has traveled with me tens of thousands of miles. Last year, I put a solid state drive in it, and it was like getting a new computer. I can boot up a Windows 7 VM in about 19 seconds. Having 8 gigs of RAM has always been fantastic. Everything about it has been fast and fun. When new, the battery (when not using VM's) could get as much as 10 hours. I can still do 7 without much trouble. After 460 charge cycles, the battery health is still between 85 and 90%. The only real negative has been the size and weight. It's only an inch thick, but naturally it's pretty big with a 17" screen. You don't get battery life like that without a huge battery, either, so it's heavy. It was never a deal breaker, but sometimes a long haul across a large airport, you know you're carrying it. Today, Apple announced a new, thinner and lighter 15" laptop, with twice the RAM and CPU cores, and four times the screen resolution. It basically handles my size and weight issues while retaining the resolution, and it still costs less than my 17" did. So I ordered one. Three years is an excellent run, but I kind of budgeted for a new workhorse this year anyway. So if you're interested in a 17" MacBook Pro with a Core 2 Duo 2.66 GHz CPU, 8 gigs of RAM and a 320 gig hard drive (sorry, I'm keeping the SSD), I have one to sell. They've apparently discontinued the 17", which is going to piss off the video community. It's in excellent condition, with a few minor scratches, but I take care of my stuff.

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• Connect Digest : 2012-07-06

  - by AaronBertrand

  I've filed a few Connect items recently that I think are important. In #752210 , I complain that the documentation for DDL triggers suggests that they can prevent certain DDL from being run, which is not the case at all. http://connect.microsoft.com/SQLServer/feedback/details/752210/doc-ddl-trigger-topic-suggests-that-rollbacks-run-before-action In #745796 , I complain that scripting datetime data in Management Studio yields output that contains a binary representation instead of a human-readable...(read more)

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• Why is my query soooooo slow?

  - by geekrutherford

  A stored procedure used in our production environment recently became so slow it cause the calling web service to begin timing out. When running the stored procedure in Query Analyzer it took nearly 3 minutes to complete.   The stored procedure itself does little more than create a small bit of dynamic SQL which calls a view with a where clause at the end.   At first the thought was that the query used within the view needed to be optimized. The query is quite long and therefore easy to jump to this conclusion.   Fortunately, after bringing the issue to the attention of a coworker they asked "is there a where clause, and if so, is there an index on the column(s) in it?" I had no idea and quickly said as much. A quick check on the table/column utilized in the where clause indicated indeed there was no index.   Before adding the index, and after admitting I am no SQL wiz, I checked the internet for info on the difference between clustered and non-clustered indexes. I found the following site quite helpful OdeToCode. After adding the non-clustered index on the column, the query that used to take nearly 3 minutes now takes 10 seconds! Ah, if only I'd thought to do this ahead of time!

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• Capturing Real-Time Currency Conversions in SSIS

  Integration excels at moving and transforming data in real time. Jeff Singleton brings us a great use of SSIS in making currency conversions using a web service, so your conversion calculation is dynamic.

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• High memory utilization by sqlservr.exe process

  - by abdul samad

  Sub:High memory utilization by sqlservr.exe process. When I look into task manager --processes or by using perfmon memory counters(Sqlserver:memory manager:Target server memory and Total server memory) I am getting high memory utilization by sqlservr.exe process nearly 8 GB (Target server memory counter) and 7.95 GB (Total server memory). and when I restart the MSSQLSERVER service it again shoots up to the same size. I am getting this issue quite frequently. Please help me out in identifying why sql server is using so much memory and how to find out what query , stored procedure etc is making sql server use that much memory. * I am not using any triggers or cursors in my code. Thanks

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• 24 Hours of PASS next week, pre-con preview style

  - by drsql

  I will be doing my Characteristics of a Great Relational Database , which is a session that I haven’t done since last PASS. When I was asked about doing this Summit Preview version of 24 hours of PASS, I decided that I would do this session, largely because it is kind of light and fun, but also because it is either going to be the basis of the end section of my pre-con at the summit or it is going to be the section of the pre-con we don’t get to because we are so involved in working out designs that...(read more)

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• Rules of Holes #5: Seek Help to Get Out of the Hole

  - by ArnieRowland

  You are moving along, doing good work, maintaining a steady pace. All seems to be going well for you. Then BAM!, a Hole just grabbed you. How the heck did that happen? What went wrong? How did you fall into a Hole? Definitely, you will want to do a post-mortem and try to tease out what misteps led you into the Hole. Certainly you will want to use this opportunity to enhance your Hole avoidance skills. But your first priority is to get out of this Hole right NOW.. Consider the Fifth Rule of Holes...(read more)

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• SIMD Extensions for the Database Storage Engine

  - by jchang

  For the last 15 years, Intel and AMD have been progressively adding special purpose extensions to their processor architectures. The extensions mostly pertain to vector operations with Single Instruction, Multiple Data (SIMD) concept. The motivation was that achieving significant performance improvement over each successive generation for the general purpose elements had become extraordinarily difficult. On the other hand, SIMD performance could be significantly improved with special purpose registers...(read more)

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• Parameterized StreamInsight Queries

  - by Roman Schindlauer

  The changes in our APIs enable a set of scenarios that were either not possible before or could only be achieved through workarounds. One such use case that people ask about frequently is the ability to parameterize a query and instantiate it with different values instead of re-deploying the entire statement. I’ll demonstrate how to do this in StreamInsight 2.1 and combine it with a method of using subjects for dynamic query composition in a mini-series of (at least) two blog articles. Let’s start with something really simple: I want to deploy a windowed aggregate to a StreamInsight server, and later use it with different window sizes. The LINQ statement for such an aggregate is very straightforward and familiar: var result = from win in stream.TumblingWindow(TimeSpan.FromSeconds(5))               select win.Avg(e => e.Value); Obviously, we had to use an existing input stream object as well as a concrete TimeSpan value. If we want to be able to re-use this construct, we can define it as a IQStreamable: var avg = myApp     .DefineStreamable((IQStreamable<SourcePayload> s, TimeSpan w) =>         from win in s.TumblingWindow(w)         select win.Avg(e => e.Value)); The DefineStreamable API lets us define a function, in our case from a IQStreamable (the input stream) and a TimeSpan (the window length) to an IQStreamable (the result). We can then use it like a function, with the input stream and the window length as parameters: var result = avg(stream, TimeSpan.FromSeconds(5)); Nice, but you might ask: what does this save me, except from writing my own extension method? Well, in addition to defining the IQStreamable function, you can actually deploy it to the server, to make it re-usable by another process! When we deploy an artifact in V2.1, we give it a name: var avg = myApp     .DefineStreamable((IQStreamable<SourcePayload> s, TimeSpan w) =>         from win in s.TumblingWindow(w)         select win.Avg(e => e.Value))     .Deploy("AverageQuery"); When connected to the same server, we can now use that name to retrieve the IQStreamable and use it with our own parameters: var averageQuery = myApp     .GetStreamable<IQStreamable<SourcePayload>, TimeSpan, double>("AverageQuery"); var result = averageQuery(stream, TimeSpan.FromSeconds(5)); Convenient, isn’t it? Keep in mind that, even though the function “AverageQuery” is deployed to the server, its logic will still be instantiated into each process when the process is created. The advantage here is being able to deploy that function, so another client who wants to use it doesn’t need to ask the author for the code or assembly, but just needs to know the name of deployed entity. A few words on the function signature of GetStreamable: the last type parameter (here: double) is the payload type of the result, not the actual result stream’s type itself. The returned object is a function from IQStreamable<SourcePayload> and TimeSpan to IQStreamable<double>. In the next article we will integrate this usage of IQStreamables with Subjects in StreamInsight, so stay tuned! Regards, The StreamInsight Team

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• Dreaded SQLs

  - by lavanyadeepak

  Dreaded SQLs We used to think that a SQL statement without a where clause is only dangerous right since running that on a server TSQL is just going to impact the entire table like waving the magic wand. For that reason we should cultivate the habit first to write the statement as select and then to modify the select portion as update. Within the T-SQL Window, I would normally prefer the following first: select * from employee where empid in (4,5) and then once I am satisfied with the results, I would go ahead with the following change: --select * delete from employee where empid in (4,5) Today I just discovered another coding horror. This would typically be applicable in a stored procedure and with respect to variable nomenclature. It is always desirable to have a suitable nomenclature for parameters distinct from the column names and internal variables. This would help quicker debugging of the stored procedures besides enhancing the readability. Else in a quick bout of enthusiasm a statement like   if (@CustomerID = @CustomerID) [when the latter is intended to denote the column name and there is a superflous @ prepended], zeroing in on the problem would be little tricky. Had there been a still powerful nomenclature rules then debugging would have been more straight-forward and simpler right?

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