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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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  • Excel 2013 Data Explorer and GeoFlow make 3-D maps quick and easy

    - by John Paul Cook
    Excel add-ins Data Explorer and GeoFlow work well together, mainly because they just work. Simple, fast, and powerful. I started Excel 2013, used Data Explorer to search for, examine, and then download latitude-longitude data and finally used GeoFlow to plot an interactive 3-D visualization. I didn’t use any fancy Excel commands and the entire process took less than 3 minutes. You can download the GeoFlow preview from here . It can also be used with Office 365. Start by clicking the DATA EXPLORER...(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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  • Creating a Corporate Data Hub

    - by BuckWoody
    The Windows Azure Marketplace has a rich assortment of data and software offerings for you to use – a type of Software as a Service (SaaS) for IT workers, not necessarily for end-users. Among those offerings is the “Data Hub” – a  codename for a project that ironically actually does what the codename says. In many of our organizations, we have multiple data quality issues. Finding data is one problem, but finding it just once is often a bigger problem. Lots of departments and even individuals have stored the same data more than once, and in some cases, made changes to one of the copies. It’s difficult to know which location or version of the data is authoritative. Then there’s the problem of accessing the data. It’s fairly straightforward to publish a database, share or other location internally to store the data. But then you have to figure out who owns it, how it is controlled, and pass out the various connection strings to those who want to use it. And then you need to figure out how to let folks access the internal data externally – bringing up all kinds of security issues. Finally, in many cases our user community wants us to combine data from the internally sources with external data, bringing up the security, strings, and exploration features up all over again. Enter the Data Hub. This is an online offering, where you assign an administrator and data stewards. You import the data into the service, and it’s available to you - and only you and your organization if you wish. The basic steps for this service are to set up the portal for your company, assign administrators and permissions, and then you assign data areas and import data into them. From there you make them discoverable, and then you have multiple options that you or your users can access that data. You’re then able, if you wish, to combine that data with other data in one location. So how does all that work? What about security? Is it really that easy? And can you really move the data definition off to the Subject Matter Experts (SME’s) that know the particular data stack better than the IT team does? Well, nothing good is easy – but using the Data Hub is actually pretty simple. I’ll give you a link in a moment where you can sign up and try this yourself. Once you sign up, you assign an administrator. From there you’ll create data areas, and then use a simple interface to bring the data in. All of this is done in a portal interface – nothing to install, configure, update or manage. After the data is entered in, and you’ve assigned meta-data to describe it, your users have multiple options to access it. They can simply use the portal – which actually has powerful visualizations you can use on any platform, even mobile phones or tablets.     Your users can also hit the data with Excel – which gives them ultimate flexibility for display, all while using an authoritative, single reference for the data. Since the service is online, they can do this wherever they are – given the proper authentication and permissions. You can also hit the service with simple API calls, like this one from C#: http://msdn.microsoft.com/en-us/library/hh921924  You can make HTTP calls instead of code, and the data can even be exposed as an OData Feed. As you can see, there are a lot of options. You can check out the offering here: http://www.microsoft.com/en-us/sqlazurelabs/labs/data-hub.aspx and you can read the documentation here: http://msdn.microsoft.com/en-us/library/hh921938

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  • SSRS 2008 R2 KPIs with bullet graphs

    Key Performance Indicators are typically displayed in a scorecard with stop light indicators, which are either red, amber or green light icons. The limitation for these kind of indicators is that you can see the actual and target values in two different fields as well as see the status of the KPI in red, amber or green color. If the user wants to figure out the thresholds associated with the KPI, these values are generally not visible. Further, representing the threshold values in the scorecard itself defeats the purpose of the scorecard. The scorecard should display the KPI's status in the most summarized form and use a minimal amount of space on the dashboard. In this tip we would look at how to address this issue.

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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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  • 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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  • PowerPivot FILTER condition optimizations

    - by Marco Russo (SQLBI)
    In the comments of a recent post from Alberto Ferrari there was an interesting note about different performance related to the order of conditions in a FILTER call. I investigated about that and Jeffrey Wang has been so nice to give me some info about actual implementation that I can share on a blog post. First of all, an important disclaimer: PowerPivot is intended to make life easier, not requiring the user to think how to write the order of elements in a formula just to get better performance....(read more)

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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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  • Is there a canonical source supporting "all-surrogates"?

    - by user61852
    Background The "all-PK-must-be-surrogates" approach is not present in Codd's Relational Model or any SQL Standard (ANSI, ISO or other). Canonical books seems to elude this restrictions too. Oracle's own data dictionary scheme uses natural keys in some tables and surrogate keys in other tables. I mention this because these people must know a thing or two about RDBMS design. PPDM (Professional Petroleum Data Management Association) recommend the same canonical books do: Use surrogate keys as primary keys when: There are no natural or business keys Natural or business keys are bad ( change often ) The value of natural or business key is not known at the time of inserting record Multicolumn natural keys ( usually several FK ) exceed three columns, which makes joins too verbose. Also I have not found canonical source that says natural keys need to be immutable. All I find is that they need to be very estable, i.e need to be changed only in very rare ocassions, if ever. I mention PPDM because these people must know a thing or two about RDBMS design too. The origins of the "all-surrogates" approach seems to come from recommendations from some ORM frameworks. It's true that the approach allows for rapid database modeling by not having to do much business analysis, but at the expense of maintainability and readability of the SQL code. Much prevision is made for something that may or may not happen in the future ( the natural PK changed so we will have to use the RDBMS cascade update funtionality ) at the expense of day-to-day task like having to join more tables in every query and having to write code for importing data between databases, an otherwise very strightfoward procedure (due to the need to avoid PK colisions and having to create stage/equivalence tables beforehand ). Other argument is that indexes based on integers are faster, but that has to be supported with benchmarks. Obviously, long, varying varchars are not good for PK. But indexes based on short, fix-length varchar are almost as fast as integers. The questions - Is there any canonical source that supports the "all-PK-must-be-surrogates" approach ? - Has Codd's relational model been superceded by a newer relational model ?

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  • Parent-child hierarchies and unary operators in PowerPivot

    - by Marco Russo (SQLBI)
    Alberto wrote an excellent post describing how to implement the Unary Operator feature (which is present in Analysis Services) in PowerPivot (there was a previous post about parent-child hierarchies, too). I have to say that the solution is not so easy to implement as in Analysis Services, but it just works and, from a practical point of view, it is not so difficult to implement if you understand how it works and accept its limitations (only sum and subtractions are supported). I think that many...(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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  • 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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  • General High-Level Assessment

    - by tcarper
    Guys and Gals, I've been tasked with a doozy of an assignment. The objective is something akin to "laying of hands" on several database servers which work in concert to provide data to various Web, Client-Server and Tablet-Sync'd distributed Client-Server programs. More specifically, I've been asked to come up with a "Maintenance Plan" which includes recommendations for future work to improve these machines' performance/reliability/security/etc. Might there be some good articles on teh interwebs ya'll could point me towards which would give me some good basis to start? Articles describing "These are the top 4 overarching categories and this is how you should proceed when drilling down on each of them" sort-of-thing would be fabulous. The Databases are all SQL 2005, however the compatibility level is 80 and they were originally created with ERwin based on SQL 6.5. The OSs are all Windows Server 2003. Thanks all! Tim

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  • DTLoggedExec 1.0.0.2 Released

    - by Davide Mauri
    These last days has been full of work and the next days, up until the end of july, will follow the same ultra-busy scheme. This makes the improvement of DTLoggedExec a little bit slower than what I desire, but nonetheless Friday I’ve been able to relase an updated version of the tool that fixes a bug and add a very convenient option to make even more straightforward the creationg of execution logs: [bugfix] Fixed a bug that prevented loading packages from SSIS Package Store [new] Added support for {filename} placeholder in both Data Flow Profiling and CSV Log Provider The added feature allow to generate DataFlow profile logs and CSV logs that has the same name of the package that generated them, es: DTLoggedExec.exec /FILE:”MyPackage.dtsx” /LPA:"FILE=C:\Log\{filename}_{date}_{time}.dtsCSVLog" Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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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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  • 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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  • 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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  • Terrible Performance with SATA Drives on Dell PowerEdge, steps to troubleshoot?

    - by Tom
    I had asked this question earlier and the question went missing so here it is again. Bought a DELL Poweredge 2950 to use as in-house QA Server. Disk performance is beyond terrible, 1000-4000 ms response time on the drive with our SQL Server database .mdf. Sql Server disk queue upwards of 300 at times. I'm a software guy, can anyone help me with steps to determine the issue? I don't know what RAID controller it has, how can I determine that? I'm speculating it could be BIOS issue. Perhaps the server used to have another kind of drive in it and when I added SATA the ??? buffer size is wrong??? Perhaps I chose wrong options (chose defaults) when setting up the RAID 1 arrays? I thought RAID 1 was a performance array?

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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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  • 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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  • 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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