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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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  • 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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  • 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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  • 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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  • Attending the next SQLBits – plan ahead

    - by simonsabin
    We are planning the next SQLBits and it is likely to be the same format as SQLBits V with a training day and a paid Friday. One of the very painful things I have to deal with is odd purchasing processes generally employed by large companies. Use of 3rd parties is the most painful of these, if you can avoid using them it makes our life much easier. We run SQLBits in our spare time and so spending hours dealing with 1 person’s booking is not good. Some people still haven’t paid for SQLBits V and that...(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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  • Deletes that Split Pages and Forwarded Ghosts

    - by Paul White
    Can DELETE operations cause pages to split? Yes. It sounds counter-intuitive on the face of it; deleting rows frees up space on a page, and page splitting occurs when a page needs additional space. Nevertheless, there are circumstances when deleting rows causes them to expand before they can be deleted. The mechanism at work here is row versioning (extract from Books Online below): Isolation Levels The relationship between row-versioning isolation levels (the first bullet point) and page splits is...(read more)

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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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  • PASS: Total Registrations

    - by Bill Graziano
    At the Summit you’ll see PASS announce the total attendance and the “total registrations”.  The total registrations is the sum of the conference attendees and the pre-conference registrations.  A single person can be counted three times (conference plus two pre-cons) in the total registration count. When I was doing marketing for the Summit this drove me nuts.  I couldn’t figure out why anyone would use total registrations.  However, when I tried to stop reporting this number I got lots of pushback.  Apparently this is how conferences compare themselves to each other.  Vendors, sponsors and Microsoft all wanted to know our total registration number.  I was even asked why we weren’t doing more “things” that people could register for so that our number would be even larger.  This drove me nuts. I understand that many of you are very detail oriented.  I just want to make sure you understand what numbers you’re seeing when we include them in the keynote at the Summit.

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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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  • Would you attend this type of event..

    - by NeilHambly
    Our User Groups events mostly are based on the same familiar formats and these work very well and I do enjoy these Immensely and participant in them as frequently as I'm able This generally follows the [1 or more selected speakers] and chosen topics {usually one of their specialities} presented for between 45-60 minutes, using the ubiquitous PowerPoint slides, along with a mixture of demos, add to that a dash of humour and a splash of passion & garnish it with the ever present swag {that...(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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  • 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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  • 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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  • SSIS - Range lookups

    - by Repieter
      When developing an ETL solution in SSIS we sometimes need to do range lookups in SSIS. Several solutions for this can be found on the internet, but now we have built another solution which I would like to share, since it's pretty easy to implement and the performance is fast.   You can download the sample package to see how it works. Make sure you have the AdventureWorks2008R2 and AdventureWorksDW2008R2 databases installed. (Apologies for the layout of this blog, I don't do this too often :))   To give a little bit more information about the example, this is basically what is does: we load a facttable and do an SCD type 2 lookup operation of the Product dimension. This is done with a script component.   First we query the Data warehouse to create the lookup dataset. The query that is used for that is:   SELECT     [ProductKey]     ,[ProductAlternateKey]     ,[StartDate]     ,ISNULL([EndDate], '9999-01-01') AS EndDate FROM [DimProduct]     The output of this query is stored in a DataTable:     string lookupQuery = @"                         SELECT                             [ProductKey]                             ,[ProductAlternateKey]                             ,[StartDate]                             ,ISNULL([EndDate], '9999-01-01') AS EndDate                         FROM [DimProduct]";           OleDbCommand oleDbCommand = new OleDbCommand(lookupQuery, _oleDbConnection);         OleDbDataAdapter adapter = new OleDbDataAdapter(oleDbCommand);           _dataTable = new DataTable();         adapter.Fill(_dataTable);     Now that the dimension data is stored in the DataTable we use the following method to do the actual lookup:   public int RangeLookup(string businessKey, DateTime lookupDate)     {         // set default return value (Unknown)         int result = -1;           DataRow[] filteredRows;         filteredRows = _dataTable.Select(string.Format("ProductAlternateKey = '{0}'", businessKey));           for (int i = 0; i < filteredRows.Length; i++)         {             // check if the lookupdate is found between the startdate and enddate of any of the records             if (lookupDate >= (DateTime)filteredRows[i][2] && lookupDate < (DateTime)filteredRows[i][3])             {                 result = (filteredRows[i][0] == null) ? -1 : (int)filteredRows[i][0];                 break;             }         }           filteredRows = null;           return result;     }       This method is executed for every row that passes the script component. This is implemented in the ProcessInputRow method   public override void Input0_ProcessInputRow(Input0Buffer Row)     {         // Perform the lookup operation on the current row and put the value in the Surrogate Key Attribute         Row.ProductKey = RangeLookup(Row.ProductNumber, Row.OrderDate);     }   Now what actually happens?!   1. Every record passes the business key and the orderdate to the RangeLookup method. 2. The DataTable is then filtered on the business key of the current record. The output is stored in a DataRow [] object. 3. We loop over the DataRow[] object to see where the orderdate meets the following expression: (lookupDate >= (DateTime)filteredRows[i][2] && lookupDate < (DateTime)filteredRows[i][3]) 4. When the expression returns true (so where the data is between the Startdate and the EndDate), the surrogate key of the dimension record is returned   We have done some testing with this solution and it works great for us. Hope others can use this example to do their range lookups.

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  • You couldn't write it - Expired SA account

    - by GrumpyOldDBA
    This is the stuff of DBA nightmares ! email trail: Q. Can you reset the SA account on server XXXXX, we think it has expired and now no-one can work. Connect to Server: Surely no-one would set up a Server with an sa account which expires? Thankfully not. Find sa password and change connection to use SA account. Connect without issue. Me. Have checked Server and account is fine. A. Thanks that's great, you've fixed it we can all work now....(read more)

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  • Rules of Holes #3 -A Better Shovel is NOT the Answer!

    - by ArnieRowland
    You stopped digging. You looked around and saw that you were still in the Hole. You needed to get out. AHA! Problem solved, you thought. You'll just get a better and more efficient shovel! Sorry, I have to tell you that switching to a more efficient shovel is unlikely to help you get out of the Hole. Yes, your resumed digging may be faster, more directed, and even well planned and articulated. But you will still be in the Hole, and digging. And that's just not the solution. A new process (scrum,...(read more)

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  • Looking for a code Plugin !!

    - by GrumpyOldDBA
    SET ANSI_NULLS ON SET QUOTED_IDENTIFIER ON GO IF NOT EXISTS( SELECT 1 FROM INFORMATION_SCHEMA . TABLES WHERE TABLE_SCHEMA = 'dbo' AND TABLE_NAME = 'MSPaymentForExtraction' ) BEGIN CREATE TABLE [dbo] . [MSPaymentForExtraction] ( [MSPaymentID] [int] NOT NULL IDENTITY ( 1 , 1 ) NOT FOR REPLICATION ) ON [PRIMARY] END GO...(read more)

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  • Understanding WCF Hosting

     WCF is a flagship product from  Microsoft for developing distributed application using SOA. Prior to WCF   traditional ASMX Web services were hosted only on Internet Information Services (IIS). The hosting options for WCF services are significantly enhanced from ... [Read Full Article]

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  • The old "do as I say, not as I do" problem

    - by AaronBertrand
    Microsoft is often considered a leader, an innovator, a trend-setter. The same could be said for Apple, Google, and a host of other tech companies. And each of those has its set of critics as well, who think that the company is the opposite - or worse. Some people think it is a good idea to model their own code, architecture or applications after things that these companies have done, but this is not always the best approach. Humans work at these companies too, and everyone is prone to mistakes,...(read more)

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  • Problem identifying which page/page/function locks whole IIS server

    - by fnovak
    Hello, I have problem identifying which page/page/function locks whole IIS server. Out of the blue whole w3wp.exe jumps to CPU 90-98% usage. I have created 3 different application pools to see which w3wp.exe service locks the processor but I am unable to find out this information. I can only see that 2 of 3 services have 0-5% usage and one is jumping around 90-98% after some while. I think some process/function/redirect/sql is doing this but I would like to eliminate it. So far I am not even able to find the source of the problem. On my local development machine with VS2010 everything works like charm and I am unable to replicate problem. The server is windows 2k3 web server, sql server 2k5 and .net 4.0 Thank you for your help, links or any information on this issue. Fero

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  • Community Events in Köln (October) and Copenhagen November #ssas #tabular #powerpivot

    - by Marco Russo (SQLBI)
    Short update about community events in Europe where I will speak.On October 11 I will present DAX in Action in Köln - all details in the PASS local chapter here: http://www.sqlpass.de/Regionen/Deutschland/K%C3%B6lnBonnD%C3%BCsseldorf.aspxI will be speaking at a community event in Copenhagen on November 21, 2012. The session will be Excel 2013 PowerPivot in Action and details about time and location are available here: http://msbip.dk/events/30/msbip-mode-nr-9/I will be in Köln and Copenhagen to teach the SSAS Tabular Workshop. The workshop in Köln is the first in Germany and I look forward to meet new BI developers there.Copenhagen is the second edition after another we delivered this spring. It is a convenient location also for people coming from Malmoe and Göteborg in Sweden. Last event in Copenhagen were conflicting with a large event in Sweden, maybe this time I'll meet more people coming from the other side of the Øresund Bridge!Many other dates and location are available on the SSAS Tabular Workshop website.

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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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