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  • SSRS Parameters and MDX Data Sets

    - by blakmk
    Having spent the past few weeks creating reports and dashboards in SSRS and SSAS 2008, I was frustrated by how difficult it is to use custom datasets to generate parameter drill downs. It also seems Reporting Services can be quite unforgiving when it comes to renaming things like datasets, so I want to share a couple of techniques that I found useful. One of the things I regularly do is to add parameters to the querys. However doing this causes Reporting Services to generate a hidden dataset and parameter name for you. One of the things I like to do is tweak these hidden datasets removing the ‘ALL’ level which is a tip I picked up from Devin Knight in his blog: There are some rules i’ve developed for myself since working with SSRS and MDX, they may not be the best or only way but they work for me. Rule 1 – Never trust the automatically generated hidden datasets Or even ANY, automatically generated MDX queries for that matter.... I’ve previously blogged about this here.   If you examine the MDX generated in the hidden dataset you will see that it generates the MDX in the context of the originiating query by building a subcube, this mean it may NOT be appropriate to use this in a subsequent query which has a different context. Make sure you always understand what is going on. Often when i’m developing a dashboard or a report there are several parameter oriented datasets that I like to manually create. It can be that I have different datasets using the same dimension but in a different context. One example of this, is that I often use a dataset for last month and a dataset for the last 6 months. Both use the same date hierarchy. However Reporting Services seems not to be too smart when it comes to generating unique datasets when working with and renaming parameters and datasets. Very often I have come across this error when it comes to refactoring parameter names and default datasets. "an item with the same key has already been added" The only way I’ve found to reliably avoid this is to obey to rule 2. Rule 2 – Follow this sequence when it comes to working with Parameters and DataSets: 1.    Create Lookup and Default Datasets in advance 2.    Create parameters (set the datasets for available and default values) 3.    Go into query and tick parameter check box 4.    On dataset properties screen, select the parameter defined earlier from the parameter value defined earlier. Rule 3 – Dont tear your hair out when you have just renamed objects and your report doesn’t build Just use XML notepad on the original report file. I found I gained a good understanding of the structure of the underlying XML document just by using XML notepad. From this you can do a search and find references of the missing object. You can also just do a wholesale search and replace (after taking a backup copy of course ;-) So I hope the above help to save the sanity of anyone who regularly works with SSRS and MDX.

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  • MySql Connector/NET 6.7.4 GA has been released

    - by fernando
    MySQL Connector/Net 6.7.4, a new version of the all-managed .NET driver for MySQL has been released.  This is the GA, is feature complete. It is recommended for production environments.  It is appropriate for use with MySQL server versions 5.0-5.7.  It is now available in source and binary form from http://dev.mysql.com/downloads/connector/net/#downloads and mirror sites (note that not all mirror sites may be up to date at this point-if you can't find this version on some mirror, please try again later or choose another download site.) The 6.7 version of MySQL Connector/Net brings the following new features: -  WinRT Connector. -  Load Balancing support. -  Entity Framework 5.0 support. -  Memcached support for Innodb Memcached plugin. -  This version also splits the product in two: from now on, starting version 6.7, Connector/NET will include only the former Connector/NET ADO.NET driver, Entity Framework and ASP.NET providers (Core libraries of MySql.Data, MySql.Data.Entity & MySql.Web). While all the former product Visual Studio integration (Design support, Intellisense, Debugger) are available as part of MySql Windows Installer under the name "MySql for Visual Studio".  WinRT Connector  ------------------------------------------- Now you can write MySql data access apps in Windows Runtime (aka Store Apps) using the familiar API of Connector/NET for .NET.  Load Balancing Support  -------------------------------------------  Now you can setup a Replication or Cluster configuration in the backend, and Connector/NET will balance the load of queries among all servers making up the backend topology.  Entity Framework 5.0  -------------------------------------------  Connector/NET is now compatible with EF 5, including special features of EF 5 like spatial types.  Memcached  -------------------------------------------  Just setup Innodb memcached plugin and use Connector/NET new APIs to establish a client to MySql 5.6 server's memcached daemon.  Bug fixes included in this release: - Fix for Entity Framework when inserts data having Identity columns (Oracle bug #16494585). - Fix for Connector/NET cannot read data from a MySql table using UTF-16/UTF-32 (MySql bug #69169, Oracle bug #16776818). - Fix for Malformed query in Entity Framework when eager loading due to multiple projections (MySql bug #67183, Oracle bug #16872852). - Fix for database objects with 'dbo' prefix when using automatic migrations in Entity Framework 5.0 (Oracle bug #16909439). - Fix for bug IIS application pool reset worker process causes website to crash (Oracle bug #16909237, Mysql Bug #67665). - Fix for bug Error in LINQ to Entities query when using Distinct().Count() (MySql Bug #68513, Oracle bug #16950146). - Fix for occasionally return no data when socket connection is slow, interrupted or delayed (MySql bug #69039, Oracle bug #16950212). - Fix for ConstraintException when filling a datatable (MySql bug #65065, Oracle bug #16952323). - Fix for Data Provider is not found after uninstalling Mysql for visual studio (Oracle bug #16973456). - Fix for nested sql generated for LINQ to Entities query with Take and Order by (MySql bug #65723, Oracle bug #16973939). The documentation is available at http://dev.mysql.com/doc/refman/5.7/en/connector-net.html  Enjoy and thanks for the support!  --  Fernando Gonzalez Sanchez | Software Engineer |  Oracle MySQL Windows Experience Team, Connector/NET  Guadalajara | Jalisco | Mexico 

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  • MEB: Taking Incremental Backup using last successful backup

    - by Sagar Jauhari
    Introduction In MySQL Enterprise Backup v3.7.0 (MEB 3.7.0) a new option '–incremental-base' was introduced. Using this option a user can take in incremental backup without specifying the '–start-lsn' option. Description of this option can be found here. Instead of '–start-lsn' the user can provide the location of the last full backup or incremental backup using the 'dir:' prefix. MEB would extract the end LSN of this backup from the mysql.backup_history table as well as the backup_variables.txt file (for verification) to use it as the start LSN of the incremental backup. Because of popular demand, in MEB 3.7.1 the option '-incremental-base' has been extended further. The idea is to allow the user to take an incremental backup as easily as possible using the '–incremental-base' option. With the new option MEB queries the backup_history table for the last successful backup and uses its end LSN as the start LSN for the new incremental backup. It should be noted that the last successful backup is used irrespective of the location of the backup. Details A new prefix 'history:' has been introduced for the –incremental-base option and currently the only permissible value is the string "last_backup". So using the new option an incremental backup can be taken with the following command: $ mysqlbackup --incremental --incremental-backup-dir=/media/mysqlbackup-repo/ --incremental-base=history:last_backup backup When MEB attempts to extract the end LSN of the last successful backup from the mysql.backup_history table, it also scans the corresponding backup destination for the old backup and tries to read the meta files at this backup destination. If a valid backup still exists at the backup destination and the meta files can be read, MEB compares the end LSN found in the mysql.backup_history table with the end LSN found in the backup meta files of the old backup. Assuming that the host MySQL server is alive and mysql.backup_history can be accessed by MEB, the behaviour of MEB with respect to verification of the old end LSN can be summarized as follows: If 'BD' is the backup destination of the last successful backup in mysql.backup_history table and 'BHT' is the mysql.backup_history table if can_read_files_at_BD:     if end_lsn_found_at_BD == end_lsn_of_last_backup_in_BHT:         continue_with_backup()     else         return_with_error() else     continue_with_backup() Advantages Apart from ease of usability an important advantage of this option is that the user can do repeated incremental backups without changing the command line. This is possible using the '–with-timestamp' option along with this new option. For example, the following command $ mysqlbackup --with-timestamp --incremental --incremental-backup-dir=/media/mysqlbackup-repo/ --incremental-base=history:last_backup backup  can be used to perform successive incremental backups in the directory /media/mysqlbackup-repo . Limitations The option '--incremental-base=history:last_backup' should not be used when the user takes different kinds of concurrent backups on the same MySQL server (say different partial backups at multiple locations). should not be used after any temporary or experimental backups performed on the server (which where successful!). needs to be used with precaution since any intermediate successful backup without the –no-connection will be used as the base backup for the next incremental backup.  will give an error in case a valid backup exists at the location of the last successful backup and whose end LSN is different from that of the last successful backup found in the backup_history table. Date: 2012-06-19 HTML generated by org-mode 6.33x in emacs 23

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  • SEO non-English domain name advice

    - by Dominykas Mostauskis
    I'm starting a website, that is meant for a non-English region, using an alphabet that is a bit different than that of English. Current plan is as follows. The website name, and the domain name, will be in the local language (not English); however, domain name will be spelled in the English alphabet, while the website's title will be the same word(s), but spelled properly with accents. E.g.: 'www.litterat.fr' and 'Littérat'. Does the difference between domain name and website name character use influence the site's SEO? Is it better, SEO-wise, to choose a name that can be spelled the same way in the English alphabet? From my experience, when searching online, invariably, the English alphabet is used, no matter the language, so people will still be searching 'litterat' (without accents and such). Edit: To sum up: Things have been said about IDN (Internationalized domain name). To make it simple, they are second-level domain names that contain language specific characters (LSP)(e.g. www.café.fr). Here you can check what top-level domains support what LSPs. Check initall's answer for more info on using LSPs in paths and queries. To answer my question about how and if search engines relate keywords spelled with and without language specific characters: Google can potentially tell that series and séries is the same keyword. However, (most relevant for words that are spelled differently across languages and have different meanings, like séries), for Google to make the connection (or lack thereof) between e and é, it has to deduce two things: Language that you are searching in. Language of your query. You can specify it manually through Advanced search or it guesses it, sometimes. I presume it can guess it wrong too. The more keywords specific to this language you use the higher Google's chance to guess the language. Language of the crawled document, against which the ASCII version of the word will be compared (in this example – series). Again, check initall's answer for how to help Google in understanding what language your document is in. Once it has that it can tell whether or not these two spellings should be treated as the same keyword. Google has to understand that even though you're not using french (in this example) specific characters, you're searching in French. The reason why I used the french word séries in this example, is that it demonstrates this very well. You have it in French and you have it in English without the accent. So if your search query is ambiguous like our series, unless Google has something more to go on, it will presume that there's no correlation between your search and séries in French documents. If you augment your query to series romantiques (try it), Google will understand that you're searching in French and among your results you'll see séries as well. But this does not always work, you should test it out with your keywords first. For example, if you search series francaises, it will associate francaises with françaises, but it will not associate series with séries. It depends on the words. Note: worth stressing that this problem is very relevant to words that, written in plain ASCII, might have some other meanings in other languages, it is less relevant to words that can be, by a distinct margin, just some one language. Tip: I've noticed that sometimes even if my non-accented search query doesn't get associated with the properly spelled word in a document (especially if it's the title or an important keyword in the doc), it still comes up. I followed the link, did a Ctrl-F search for my non-accented search query and found nothing, then checked the meta-tags in the source and you had the page's title in both accented and non-accented forms. So if you have meta-tags that can be spelled with language specific characters and without, put in both. Footnote: I hope this helps. If you have anything to add or correct, go ahead.

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  • Is inconsistent formatting a sign of a sloppy programmer?

    - by dreza
    I understand that everyone has their own style of programming and that you should be able to read other people's styles and accept it for what it is. However, would one be considered a sloppy programmer if one's style of coding was inconsistent across whatever standard they were working against? Some example of inconsistencies might be: Sometimes naming private variables with _ and sometimes not Sometimes having varying indentations within code blocks Not aligning braces up i.e. same column if using start using new line style Spacing not always consistent around operators i.e. p=p+1, p+=1 vs other times p =p+1 or p = p + 1 etc Is this even something that as a programmer I should be concerned with addressing? Or is it such a minor nit picking thing that at the end of the day I should just not worry about it and worry about what the end user sees and whether the code works rather than how it looks while working? Is it sloppy programming or just over obsessive nit picking? EDIT: After some excellent comments I realized I may have left out some information in my question. This question came about after reviewing another colleagues code check-in and noticing some of these things and then realizing that I've seen these kind of in-consistencies in previous check-ins. It then got me thinking about my code and whether I do the same things and noticed that I typically don't etc I'm not suggesting his technique is either bad or good in this question or whether his way of doing things is right or wrong. EDIT: To answer some queries to some more good feed back. The specific instance this review occurred in was using Visual Studio 2010 and programming in c# so I don't think the editor would cause any issues. In fact it should only help I would hope. Sorry if I left that piece of info out and it effects any current answers. I was trying to be a bit more generic in understanding if this would be considered sloppy etc. And to add an even more specific example of a code piece I saw during reading of the check-in: foreach(var block in Blocks) { // .. some other code in here foreach(var movement in movements) { movement.Moved.Zero(); } // the un-formatted brace } Such a minor thing I know, but many small things add up(???), and I did have to double glance at the code at the time to see where everything lined up I guess. Please note this code was formatted appropriately before this check-in. EDIT: After reading some great answers and varying thoughts, the summary I've taken from this was. It's not necessarily a sign of a sloppy programmer however as programmers we have a duty (to ourselves and other programmers) to make the code as readable as possible to assist in further ongoing development. However it can hint at inadequacies which is something that is only possible to review on a case by case (person by person) basis. There are many reasons why this might occur. They should be taken in context and worked through with the person/people involved if reasonable. We have a duty to try and help all programmers become better programmers! In the good old days when development was done using good old notepad (or other simple text editing tool) this occurred much more frequently. However we have the assistance of modern IDE's now so although we shouldn't necessarily become OTT about this, it should still probably be addressed to some degree. We as programmers vary in our standards, styles and approaches to solutions. However it seems that in general we all take PRIDE in our work and as a trait it is something that can stand programmers apart. Making something to the best of our abilities both internal (code) and external (end user result) goes along way to giving us that big fat pat on the back that we may not go looking for but swells our heart with pride. And finally to quote CrazyEddie from his post below. Don't sweat the small stuff

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  • Dropped impression 25 days after restructure

    - by Hamid
    Our website is a non English property related website (moshaver.com) which is similar to rightmove.co.uk. On September 2012 our website was adversely affected by Panda causing our Google incoming clicks to drop from around 3000 clicks to less than a thousand. We were hoping that Google will eventually realize that we are not a spam website and things will get better. However, in August 2013 we were almost sure that we needed to do something, so we started to restructure our web content. We used the canonical tag to remove our search results and point to our listing pages, using the noindex tag to remove it from our listing pages which does not have any properties at the moment. We also changed title tags to more friendly ones, in addition to other changes. Our changes were effective on 10th August. As shown in the graph taken from Google Analytics Search Engine Optimization section, these changes has resulted in an increase in the number of times Google displayed our results in its search results. Our impressions almost doubled starting 15th August. However, as the graph shows, our CTR dropped from this date from around 15% to 8%. This might have been because of our changed title tags (so people were less likely to click on them), or it might be normal for increased impressions. This situation has continued up until 10th September, when our impressions decreased dramatically to less than a thousand. This is almost 30% of our original impressions (before website restructure) and 15% of the new impressions. At the same time our impressions has increased dramatically to around 50%. I have two theories for this increase. The first one is that these statistics are less accurate for lower impressions. The second one is that Google is now only displaying our results for queries directly related to our website (our name, our url), and not for general terms, such as "apartments in a specific city". The second theory also explains the dramatic decrease in impression as well. After digging the analytic data a little more, I constructed the following table. It displays the breakdown of our impressions, clicks and ctr in different Google products (web and image) and in total. What I understand from this table is that, most of our increased impressions after restructure were on the image search section. I don't think users of search would be looking for content in our website. Furthermore, it shows that the drop in our web search ctr, is as dramatic of the overall ctr (-30% in compare to -60%) . I thought posting it here might help you understand the situation better. Is it possible that Google has tested our new structure for 25 days, and then decided to decrease our impressions because of the the new low CTR? Or should we look for another factor? If this is the case, how long does it usually take for Google to give us another chance? It has been one month since our impressions has dropped.

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  • Modernizr Rocks HTML5

    - by Laila
    HTML5 is a moving target.  At the moment, we don't know what will be in future versions.  In most circumstances, this really matters to the developer. When you're using Adobe Air, you can be reasonably sure what works, what is there, and what isn't, since you have a version of the browser built-in. With Metro, you can assume that you're going to be using at least IE 10.   If, however,  you are using HTML5 in a web application, then you are going to rely heavily on Feature Detection.  Feature-Detection is a collection of techniques that tell you, via JavaScript, whether the current browser has this feature natively implemented or not Feature Detection isn't just there for the esoteric stuff such as  Geo-location,  progress bars,  <canvas> support,  the new <input> types, Audio, Video, web workers or storage, but is required even for semantic markup, since old browsers make a pigs ear out of rendering this.  Feature detection can't rely just on reading the browser version and inferring from that what works. Instead, you must use JavaScript to check that an HTML5 feature is there before using it.  The problem with relying on the user-agent is that it takes a lot of historical data  to work out what version does what, and, anyway, the user-agent can be, and sometimes is, spoofed. The open-source library Modernizr  is just about the most essential  JavaScript library for anyone using HTML5, because it provides APIs to test for most of the CSS3 and HTML5 features before you use them, and is intelligent enough to alter semantic markup into 'legacy' 'markup  using shims  on page-load  for old browsers. It also allows you to check what video Codecs are installed for playing video. It also provides media queries  and conditional resource-loading (formerly YepNope.js.).  Generally, Modernizr gives you the choice of what you do about browsers that don't support the feature that you want. Often, the best choice is graceful degradation, but the resource-loading feature allows you to dynamically load JavaScript Shims to replace the standard API for missing or defective HTML5 functionality, called 'PolyFills'.  As the Modernizr site says 'Yes, not only can you use HTML5 today, but you can use it in the past, too!' The evolutionary progress of HTML5  requires a more defensive style of JavaScript programming where the programmer adopts a mindset of fearing the worst ( IE 6)  rather than assuming the best, whilst exploiting as many of the new HTML features as possible for the requirements of the site or HTML application.  Why would anyone want the distraction of developing their own techniques to do this when  Modernizr exists to do this for you? Laila

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  • PASS Summit 2011 &ndash; Part II

    - by Tara Kizer
    I arrived in Seattle last Monday afternoon to attend PASS Summit 2011.  I had really wanted to attend Gail Shaw’s (blog|twitter) and Grant Fritchey’s (blog|twitter) pre-conference seminar “All About Execution Plans” on Monday, but that would have meant flying out on Sunday which I couldn’t do.  On Tuesday, I attended Allan Hirt’s (blog|twitter) pre-conference seminar entitled “A Deep Dive into AlwaysOn: Failover Clustering and Availability Groups”.  Allan is a great speaker, and his seminar was packed with demos and information about AlwaysOn in SQL Server 2012.  Unfortunately, I have lost my notes from this seminar and the presentation materials are only available on the pre-con DVD.  Hmpf! On Wednesday, I attended Gail Shaw’s “Bad Plan! Sit!”, Andrew Kelly’s (blog|twitter) “SQL 2008 Query Statistics”, Dan Jones’ (blog|twitter) “Improving your PowerShell Productivity”, and Brent Ozar’s (blog|twitter) “BLITZ! The SQL – More One Hour SQL Server Takeovers”.  In Gail’s session, she went over how to fix bad plans and bad query patterns.  Update your stale statistics! How to fix bad plans Use local variables – optimizer can’t sniff it, so it’ll optimize for “average” value Use RECOMPILE (at the query or stored procedure level) – CPU hit OPTIMIZE FOR hint – most common value you’ll pass How to fix bad query patterns Don’t use them – ha! Catch-all queries Use dynamic SQL OPTION (RECOMPILE) Multiple execution paths Split into multiple stored procedures OPTION (RECOMPILE) Modifying parameter values Use local variables Split into outer and inner procedure OPTION (RECOMPILE) She also went into “last resort” and “very last resort” options, but those are risky unless you know what you are doing.  For the average Joe, she wouldn’t recommend these.  Examples are query hints and plan guides. While I enjoyed Andrew’s session, I didn’t take any notes as it was familiar material.  Andrew is a great speaker though, and I’d highly recommend attending his sessions in the future. Next up was Dan’s PowerShell session.  I need to look into profiles, manifests, function modules, and function import scripts more as I just didn’t quite grasp these concepts.  I am attending a PowerShell training class at the end of November, so maybe that’ll help clear it up.  I really enjoyed the Excel integration demo.  It was very cool watching PowerShell build the spreadsheet in real-time.  I must look into this more!  On a side note, I am jealous of Dan’s hair.  Fabulous hair! Brent’s session showed us how to quickly gather information about a server that you will be taking over database administration duties for.  He wrote a script to do a fast health check and then later wrapped it into a stored procedure, sp_Blitz.  I can’t wait to use this at my work even on systems where I’ve been the primary DBA for years, maybe there’s something I’ve overlooked.  We are using EPM to help standardize our environment and uncover problems, but sp_Blitz will definitely still help us out.  He even provides a cloud-based update feature, sp_BlitzUpdate, for sp_Blitz so you don’t have to constantly update it when he makes a change.  I think I’ll utilize his update code for some other challenges that we face at my work.

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  • Be the surgeon

    - by Rob Farley
    It’s a phrase I use often, especially when teaching, and I wish I had realised the concept years earlier. (And of course, fits with this month’s T-SQL Tuesday topic, hosted by Argenis Fernandez) When I’m sick enough to go to the doctor, I see a GP. I used to typically see the same guy, but he’s moved on now. However, when he has been able to roughly identify the area of the problem, I get referred to a specialist, sometimes a surgeon. Being a surgeon requires a refined set of skills. It’s why they often don’t like to be called “Doctor”, and prefer the traditional “Mister” (the history is that the doctor used to make the diagnosis, and then hand the patient over to the person who didn’t have a doctorate, but rather was an expert cutter, typically from a background in butchering). But if you ask the surgeon about the pain you have in your leg sometimes, you’ll get told to ask your GP. It’s not that your surgeon isn’t interested – they just don’t know the answer. IT is the same now. That wasn’t something that I really understood when I got out of university. I knew there was a lot to know about IT – I’d just done an honours degree in it. But I also knew that I’d done well in just about all my subjects, and felt like I had a handle on everything. I got into developing, and still felt that having a good level of understanding about every aspect of IT was a good thing. This got me through for the first six or seven years of my career. But then I started to realise that I couldn’t compete. I’d moved into management, and was spending my days running projects, rather than writing code. The kids were getting older. I’d had a bad back injury (ask anyone with chronic pain how it affects  your ability to concentrate, retain information, etc). But most of all, IT was getting larger. I knew kids without lives who knew more than I did. And I felt like I could easily identify people who were better than me in whatever area I could think of. Except writing queries (this was before I discovered technical communities, and people like Paul White and Dave Ballantyne). And so I figured I’d specialise. I wish I’d done it years earlier. Now, I can tell you plenty of people who are better than me at any area you can pick. But there are also more people who might consider listing me in some of their lists too. If I’d stayed the GP, I’d be stuck in management, and finding that there were better managers than me too. If you’re reading this, SQL could well be your thing. But it might not be either. Your thing might not even be in IT. Find out, and then see if you can be a world-beater at it. But it gets even better, because you can find other people to complement the things that you’re not so good at. My company, LobsterPot Solutions, has six people in it at the moment. I’ve hand-picked those six people, along with the one who quit. The great thing about it is that I’ve been able to pick people who don’t necessarily specialise in the same way as me. I don’t write their T-SQL for them – generally they’re good enough at that themselves. But I’m on-hand if needed. Consider Roger Noble, for example. He’s doing stuff in HTML5 and jQuery that I could never dream of doing to create an amazing HTML5 version of PivotViewer. Or Ashley Sewell, a guy who does project management far better than I do. I could go on. My team is brilliant, and I love them to bits. We’re all surgeons, and when we work together, I like to think we’re pretty good! @rob_farley

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  • Restrict number of characters to be typed for af:autoSuggestBehavior

    - by Arunkumar Ramamoorthy
    When using AutoSuggestBehavior for a UI Component, the auto suggest list is displayed as soon as the user starts typing in the field. In this article, we will find how to restrict the autosuggest list to be displayed till the user types in couple of characters. This would be more useful in the low latency networks and also the autosuggest list is bigger. We could display a static message to let the user know that they need to type in more characters to get a list for picking a value from. Final output we would expect is like the below image Lets see how we can implement this. Assuming we have an input text for the users to enter the country name and an autosuggest behavior is added to it. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior /> </af:inputText> Also, assuming we have a VO (we'll name it as CountryView for this example), with a view criteria to filter out the VO based on the bind variable passed. Now, we would generate View Impl class from the java node (including bind variables) and then expose the setter method of the bind variable to client interface. In the View layer, we would create a tree binding for the VO and the method binding for the setter method of the bind variable exposed above, in the pagedef file As we've already added an input text and an autosuggestbehavior for the test, we would not need to build the suggested items for the autosuggest list.Let us add a method in the backing bean to return us List of select items to be bound to the autosuggest list. padding: 5px; background-color: #fbfbfb; min-height: 40px; width: 544px; height: 168px; overflow: auto;"> public List onSuggest(String searchTerm) { ArrayList<SelectItem> selectItems = new ArrayList<SelectItem>(); if(searchTerm.length()>1) { //get access to the binding context and binding container at runtime BindingContext bctx = BindingContext.getCurrent(); BindingContainer bindings = bctx.getCurrentBindingsEntry(); //set the bind variable value that is used to filter the View Object //query of the suggest list. The View Object instance has a View //Criteria assigned OperationBinding setVariable = (OperationBinding) bindings.get("setBind_CountryName"); setVariable.getParamsMap().put("value", searchTerm); setVariable.execute(); //the data in the suggest list is queried by a tree binding. JUCtrlHierBinding hierBinding = (JUCtrlHierBinding) bindings.get("CountryView1"); //re-query the list based on the new bind variable values hierBinding.executeQuery(); //The rangeSet, the list of queries entries, is of type //JUCtrlValueBndingRef. List<JUCtrlValueBindingRef> displayDataList = hierBinding.getRangeSet(); for (JUCtrlValueBindingRef displayData : displayDataList){ Row rw = displayData.getRow(); //populate the SelectItem list selectItems.add(new SelectItem( (String)rw.getAttribute("Name"), (String)rw.getAttribute("Name"))); } } else{ SelectItem a = new SelectItem("","Type in two or more characters..","",true); selectItems.add(a); } return selectItems; } So, what we are doing in the above method is, to check the length of the search term and if it is more than 1 (i.e 2 or more characters), the return the actual suggest list. Otherwise, create a read only select item new SelectItem("","Type in two or more characters..","",true); and add it to the list of suggested items to be displayed. The last parameter for the SelectItem (boolean) is to make it as readOnly, so that users would not be able to select this static message from the displayed list. Finally, bind this method to the input text's autosuggestbehavior's suggestedItems property. <af:inputText label="Country" id="it1"> <af:autoSuggestBehavior suggestedItems="#{AutoSuggestBean.onSuggest}"/> </af:inputText>

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  • New R Interface to Oracle Data Mining Available for Download

    - by charlie.berger
      The R Interface to Oracle Data Mining ( R-ODM) allows R users to access the power of Oracle Data Mining's in-database functions using the familiar R syntax. R-ODM provides a powerful environment for prototyping data analysis and data mining methodologies. R-ODM is especially useful for: Quick prototyping of vertical or domain-based applications where the Oracle Database supports the application Scripting of "production" data mining methodologies Customizing graphics of ODM data mining results (examples: classification, regression, anomaly detection) The R-ODM interface allows R users to mine data using Oracle Data Mining from the R programming environment. It consists of a set of function wrappers written in source R language that pass data and parameters from the R environment to the Oracle RDBMS enterprise edition as standard user PL/SQL queries via an ODBC interface. The R-ODM interface code is a thin layer of logic and SQL that calls through an ODBC interface. R-ODM does not use or expose any Oracle product code as it is completely an external interface and not part of any Oracle product. R-ODM is similar to the example scripts (e.g., the PL/SQL demo code) that illustrates the use of Oracle Data Mining, for example, how to create Data Mining models, pass arguments, retrieve results etc. R-ODM is packaged as a standard R source package and is distributed freely as part of the R environment's Comprehensive R Archive Network (CRAN). For information about the R environment, R packages and CRAN, see www.r-project.org. R-ODM is particularly intended for data analysts and statisticians familiar with R but not necessarily familiar with the Oracle database environment or PL/SQL. It is a convenient environment to rapidly experiment and prototype Data Mining models and applications. Data Mining models prototyped in the R environment can easily be deployed in their final form in the database environment, just like any other standard Oracle Data Mining model. What is R? R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. Since mid-1997 there has been a core group (the "R Core Team") who can modify the R source code archive. Besides this core group many R users have contributed application code as represented in the near 1,500 publicly-available packages in the CRAN archive (which has shown exponential growth since 2001; R News Volume 8/2, October 2008). Today the R community is a vibrant and growing group of dozens of thousands of users worldwide. It is free software distributed under a GNU-style copyleft, and an official part of the GNU project ("GNU S"). Resources: R website / CRAN R-ODM

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  • How the number of indexes built on a table can impact performances?

    - by Davide Mauri
    We all know that putting too many indexes (I’m talking of non-clustered index only, of course) on table may produce performance problems due to the overhead that each index bring to all insert/update/delete operations on that table. But how much? I mean, we all agree – I think – that, generally speaking, having many indexes on a table is “bad”. But how bad it can be? How much the performance will degrade? And on a concurrent system how much this situation can also hurts SELECT performances? If SQL Server take more time to update a row on a table due to the amount of indexes it also has to update, this also means that locks will be held for more time, slowing down the perceived performance of all queries involved. I was quite curious to measure this, also because when teaching it’s by far more impressive and effective to show to attended a chart with the measured impact, so that they can really “feel” what it means! To do the tests, I’ve create a script that creates a table (that has a clustered index on the primary key which is an identity column) , loads 1000 rows into the table (inserting 1000 row using only one insert, instead of issuing 1000 insert of one row, in order to minimize the overhead needed to handle the transaction, that would have otherwise ), and measures the time taken to do it. The process is then repeated 16 times, each time adding a new index on the table, using columns from table in a round-robin fashion. Test are done against different row sizes, so that it’s possible to check if performance changes depending on row size. The result are interesting, although expected. This is the chart showing how much time it takes to insert 1000 on a table that has from 0 to 16 non-clustered indexes. Each test has been run 20 times in order to have an average value. The value has been cleaned from outliers value due to unpredictable performance fluctuations due to machine activity. The test shows that in a  table with a row size of 80 bytes, 1000 rows can be inserted in 9,05 msec if no indexes are present on the table, and the value grows up to 88 (!!!) msec when you have 16 indexes on it This means a impact on performance of 975%. That’s *huge*! Now, what happens if we have a bigger row size? Say that we have a table with a row size of 1520 byte. Here’s the data, from 0 to 16 indexes on that table: In this case we need near 22 msec to insert 1000 in a table with no indexes, but we need more that 500msec if the table has 16 active indexes! Now we’re talking of a 2410% impact on performance! Now we can have a tangible idea of what’s the impact of having (too?) many indexes on a table and also how the size of a row also impact performances. That’s why the golden rule of OLTP databases “few indexes, but good” is so true! (And in fact last week I saw a database with tables with 1700bytes row size and 23 (!!!) indexes on them!) This also means that a too heavy denormalization is really not a good idea (we’re always talking about OLTP systems, keep it in mind), since the performance get worse with the increase of the row size. So, be careful out there, and keep in mind the “equilibrium” is the key world of a database professional: equilibrium between read and write performance, between normalization and denormalization, between to few and too may indexes. PS Tests are done on a VMWare Workstation 7 VM with 2 CPU and 4 GB of Memory. Host machine is a Dell Precsioni M6500 with i7 Extreme X920 Quad-Core HT 2.0Ghz and 16Gb of RAM. Database is stored on a SSD Intel X-25E Drive, Simple Recovery Model, running on SQL Server 2008 R2. If you also want to to tests on your own, you can download the test script here: Open TestIndexPerformance.sql

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  • Oracle BI Applications for Industry Sectors

    - by Mike.Hallett(at)Oracle-BI&EPM
    Normal 0 false false false EN-GB X-NONE X-NONE Oracle BI Applications already provide pre-built line-of-business analytic applications to over 4,000 customers: these expose the data otherwise locked inside ERP and CRM applications, giving the business user the analytics they need, and a greater ability to self-service ad-hoc queries. Now you can also take advantage of the pre-built Oracle BI Applications approach for industry sector specific analytics to streamline your client’s operations, offer better services, and increase profit margins. Find out more at http://www.oracle.com/us/solutions/business-analytics/analytic-applications/industry/overview/index.html. Retail Education Oracle Retail Merchandising Analytics Oracle Student Information Analytics Oracle Retail Customer Analytics Public Sector Financial Services Oracle Tax Analytics Oracle Financial Analytics Manufacturing Health Care Oracle Manufacturing Analytics Oracle Enterprise Healthcare Analytics Asset Intensive Oracle Clinical Development Analytics Oracle Enterprise Asset Management Analytics Oracle Operating Room Analytics Related Links Health Sciences Analytic Applications for Your Business Role Oracle Health Sciences Clinical Development Analytics Analytic Applications for Your Product Line Oracle Argus Analytics Oracle Business Intelligence Tools and Technology Communication Oracle Exalytics In-Memory Machine "The adoption of Oracle Financial Services Analytic Applications is of great significance to the bank's transition to more rigorous and risk-averse management practices."Yang Changxue, Project Manager Oracle Communications Data Model /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableGrid {mso-style-name:"Table Grid"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-priority:59; mso-style-unhide:no; border:solid windowtext 1.0pt; mso-border-alt:solid windowtext .5pt; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-border-insideh:.5pt solid windowtext; mso-border-insidev:.5pt solid windowtext; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;}

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  • SSAS: Utility to export SQL code from your cube's Data Source View (DSV)

    - by DrJohn
    When you are working on a cube, particularly in a multi-person team, it is sometimes necessary to review what changes that have been done to the SQL queries in the cube's data source view (DSV). This can be a problem as the SQL editor in the DSV is not the best interface to review code. Now of course you can cut and paste the SQL into SSMS, but you have to do each query one-by-one. What is worse your DBA is unlikely to have BIDS installed, so you will have to manually export all the SQL yourself and send him the files. To make it easy to get hold of the SQL in a Data Source View, I developed a C# utility which connects to an OLAP database and uses Analysis Services Management Objects (AMO) to obtain and export all the SQL to a series of files. The added benefit of this approach is that these SQL files can be placed under source code control which means the DBA can easily compare one version with another. The Trick When I came to implement this utility, I quickly found that the AMO API does not give direct access to anything useful about the tables in the data source view. Iterating through the DSVs and tables is easy, but getting to the SQL proved to be much harder. My Google searches returned little of value, so I took a look at the idea of using the XmlDom to open the DSV’s XML and obtaining the SQL from that. This is when the breakthrough happened. Inspecting the DSV’s XML I saw the things I was interested in were called TableType DbTableName FriendlyName QueryDefinition Searching Google for FriendlyName returned this page: Programming AMO Fundamental Objects which hinted at the fact that I could use something called ExtendedProperties to obtain these XML attributes. This simplified my code tremendously to make the implementation almost trivial. So here is my code with appropriate comments. The full solution can be downloaded from here: ExportCubeDsvSQL.zip   using System;using System.Data;using System.IO;using Microsoft.AnalysisServices; ... class code removed for clarity// connect to the OLAP server Server olapServer = new Server();olapServer.Connect(config.olapServerName);if (olapServer != null){ // connected to server ok, so obtain reference to the OLAP databaseDatabase olapDatabase = olapServer.Databases.FindByName(config.olapDatabaseName);if (olapDatabase != null){ Console.WriteLine(string.Format("Succesfully connected to '{0}' on '{1}'",   config.olapDatabaseName,   config.olapServerName));// export SQL from each data source view (usually only one, but can be many!)foreach (DataSourceView dsv in olapDatabase.DataSourceViews){ Console.WriteLine(string.Format("Exporting SQL from DSV '{0}'", dsv.Name));// for each table in the DSV, export the SQL in a fileforeach (DataTable dt in dsv.Schema.Tables){ Console.WriteLine(string.Format("Exporting SQL from table '{0}'", dt.TableName)); // get name of the table in the DSV// use the FriendlyName as the user inputs this and therefore has control of itstring queryName = dt.ExtendedProperties["FriendlyName"].ToString().Replace(" ", "_");string sqlFilePath = Path.Combine(targetDir.FullName, queryName + ".sql"); // delete the sql file if it exists... file deletion code removed for clarity// write out the SQL to a fileif (dt.ExtendedProperties["TableType"].ToString() == "View"){ File.WriteAllText(sqlFilePath, dt.ExtendedProperties["QueryDefinition"].ToString());}if (dt.ExtendedProperties["TableType"].ToString() == "Table"){ File.WriteAllText(sqlFilePath, dt.ExtendedProperties["DbTableName"].ToString()); } } } Console.WriteLine(string.Format("Successfully written out SQL scripts to '{0}'", targetDir.FullName)); } }   Of course, if you are following industry best practice, you should be basing your cube on a series of views. This will mean that this utility will be of limited practical value unless of course you are inheriting a project and want to check if someone did the implementation correctly.

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • Production Access Denied! Who caused this rule anyways?

    - by Matt Watson
    One of the biggest challenges for most developers is getting access to production servers. In smaller dev teams of less than about 5 people everyone usually has access. Then you hire developer #6, he messes something up in production... and now nobody has access. That is how it always starts in small dev teams. I think just about every rule of life there is gets created this way. One person messes it up for the rest of us. Rules are then put in place to try and prevent it from happening again.Breaking the rules is in our nature. In this example it is for good cause and a necessity to support our applications and troubleshoot problems as they arise. So how do developers typically break the rules? Some create their own method to collect log files off servers so they can see them. Expensive log management programs can collect log files, but log files alone are not enough. Centralizing where important errors are logged to is common. Some lucky developers are given production server access by the IT operations team out of necessity. Wait. That's not fair to all developers and knowingly breaks the company rule!  When customers complain or the system is down, the rules go out the window. Commonly lead developers get production access because they are ultimately responsible for supporting the application and may be the only person who knows how to fix it. The problem with only giving lead developers production access is it doesn't scale from a support standpoint. Those key employees become the go to people to help solve application problems, but they also become a bottleneck. They end up spending up to half of their time every day helping resolve application defects, performance problems, or whatever the fire of the day is. This actually the last thing you want your lead developers doing. They should be working on something more strategic like major enhancements to the product. Having production access can actually be a curse if you are the guy stuck hunting down log files all day. Application defects are good tasks for junior developers. They can usually handle figuring out simple application problems. But nothing is worse than being a junior developer who can't figure out those problems and the back log of them grows and grows. Some of them require production server access to verify a deployment was done correctly, verify config settings, view log files, or maybe just restart an application. Since the junior developers don't have access, they end up bugging the developers who do have access or they track down a system admin to help. It can take hours or days to see server information that would take seconds or minutes if they had access of their own. It is very frustrating to the developer trying to solve the problem, the system admin being forced to help, and most importantly your customers who are not happy about the situation. This process is terribly inefficient. Production database access is also important for solving application problems, but presents a lot of risk if developers are given access. They could see data they shouldn't.  They could write queries on accident to update data, delete data, or merely select every record from every table and bring your database to its knees. Since most of the application we create are data driven, it can be very difficult to track down application bugs without access to the production databases.Besides it being against the rule, why don't all developers have access? Most of the time it comes down to security, change of control, lack of training, and other valid reasons. Developers have been known to tinker with different settings to try and solve a problem and in the process forget what they changed and made the problem worse. So it is a double edge sword. Don't give them access and fixing bugs is more difficult, or give them access and risk having more bugs or major outages being created!Matt WatsonFounder, CEOStackifyAgile Support for Agile Developers

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  • Administer, manage, monitor, and fine tune the performance of your Oracle SOA Suite 11g Service Infrastructure and SOA composite applications.

    - by JuergenKress
    Key Features of the book If you are an Oracle SOA suite administrator, then this book is your bible. It gives you everything you need to know about all your tasks and help you to apply what you learn in your everyday life right from the first chapter. The book walks through promoting code across environments, performance tuning the service infrastructure, monitoring the environment, configuring security policies, managing the dehydration store, backing and restoring environments and so on. Packed with real-world examples from authors' own experiences, this books offers a unique insight into Oracle SOA Suite Administration. Detailed description The book begins with an introduction of SOA and quickly moves on to management of SOA composite applications. Readers will learn how to manage composite applications, their deployments and lifecycles. Equipped with this knowledge, readers will be introduced to monitoring and performance tuning SOA Suite, monitoring instances, messages, and composite applications, managing faults and exceptions, configuring audit levels of composite applications to include end-to-end monitoring through the use of extended logging as well as administering and configuring all SOA Suite components. A very important aspect of administration is tuning and optimizing the infrastructure for performance and book offers real work recommendations to monitor and performance tune service engines, the underlying WebLogic server, threads and timeouts, files systems, and composite applications. It also covers detailed administration of individual service components, configuring the infrastructure MBeans using both Oracle Enterprise Manager Fusion Middleware Control and WLST based scripts, migrating worklist preferences and BAM data across environments, setting up Email, LDAP and custom XPath. An administrator is always trusted with troubleshooting and root causing problems in the infrastructure and this book will help you through the troubleshooting approaches as how to identify faults and exception through extended logging and thread dumps and find solutions to common startup problems and deployment issues. The advanced contents of this book explains OWSM security framework and how to secure components deployed to the infrastructure along with the details of all groundwork needed to ready the environment. Last few chapters help you to understand and deal with managing the metadata services repository and dehydration store, backup and recovery and concluding with advanced topics such as silent/scripted installations, cloning, upgrading, patching and high availability installations. Packed with real-world examples, and tips straight from the trench; this book offers insights into SOA Suite administration that you will not find elsewhere. Part of our writing style in this book draws heavily on the philosophy of reuse and as such the book provide an ample of executable SQL queries and WLST scripts that administrators can reuse and extend to perform most of the administration tasks such as monitoring instances, processing times, instance states and perform automatic deployments, tuning, migration, and installation. These scripts are spread over each of the chapters in the book and can also be downloaded from here. The book is available in different formats at the following websites: Paperback and eBook versions & Kindle version. It is available for order and signed copies are available through our web site. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: SOA book,SOA Suite Adminsitration,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Be the surgeon

    - by Rob Farley
    It’s a phrase I use often, especially when teaching, and I wish I had realised the concept years earlier. (And of course, fits with this month’s T-SQL Tuesday topic, hosted by Argenis Fernandez) When I’m sick enough to go to the doctor, I see a GP. I used to typically see the same guy, but he’s moved on now. However, when he has been able to roughly identify the area of the problem, I get referred to a specialist, sometimes a surgeon. Being a surgeon requires a refined set of skills. It’s why they often don’t like to be called “Doctor”, and prefer the traditional “Mister” (the history is that the doctor used to make the diagnosis, and then hand the patient over to the person who didn’t have a doctorate, but rather was an expert cutter, typically from a background in butchering). But if you ask the surgeon about the pain you have in your leg sometimes, you’ll get told to ask your GP. It’s not that your surgeon isn’t interested – they just don’t know the answer. IT is the same now. That wasn’t something that I really understood when I got out of university. I knew there was a lot to know about IT – I’d just done an honours degree in it. But I also knew that I’d done well in just about all my subjects, and felt like I had a handle on everything. I got into developing, and still felt that having a good level of understanding about every aspect of IT was a good thing. This got me through for the first six or seven years of my career. But then I started to realise that I couldn’t compete. I’d moved into management, and was spending my days running projects, rather than writing code. The kids were getting older. I’d had a bad back injury (ask anyone with chronic pain how it affects  your ability to concentrate, retain information, etc). But most of all, IT was getting larger. I knew kids without lives who knew more than I did. And I felt like I could easily identify people who were better than me in whatever area I could think of. Except writing queries (this was before I discovered technical communities, and people like Paul White and Dave Ballantyne). And so I figured I’d specialise. I wish I’d done it years earlier. Now, I can tell you plenty of people who are better than me at any area you can pick. But there are also more people who might consider listing me in some of their lists too. If I’d stayed the GP, I’d be stuck in management, and finding that there were better managers than me too. If you’re reading this, SQL could well be your thing. But it might not be either. Your thing might not even be in IT. Find out, and then see if you can be a world-beater at it. But it gets even better, because you can find other people to complement the things that you’re not so good at. My company, LobsterPot Solutions, has six people in it at the moment. I’ve hand-picked those six people, along with the one who quit. The great thing about it is that I’ve been able to pick people who don’t necessarily specialise in the same way as me. I don’t write their T-SQL for them – generally they’re good enough at that themselves. But I’m on-hand if needed. Consider Roger Noble, for example. He’s doing stuff in HTML5 and jQuery that I could never dream of doing to create an amazing HTML5 version of PivotViewer. Or Ashley Sewell, a guy who does project management far better than I do. I could go on. My team is brilliant, and I love them to bits. We’re all surgeons, and when we work together, I like to think we’re pretty good! @rob_farley

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  • Delivering SOA Governance with EAMS and Oracle Enterprise Repository by Link Consulting Team

    - by JuergenKress
    In the last 12 years Link Consulting has been making its presence in specific areas such as Governance and Architecture, both in terms of practices and methodologies, products, know-how and technological expertise. The Enterprise Architecture Management System - Oracle Enterprise Edition (EAMS - OER Edition) is the result of this experience and combines the architecture management solution with OER in order to deliver a product specialized for SOA Governance that gathers the better of two worlds in solution that enables SOA Governance projects, initiatives and programs. Enterprise Architecture Management System Enterprise Architecture Management System (EAMS), is an automation based solution that enables the efficient management of Enterprise Architectures. The solution uses configured enterprise repositories and takes advantages of its features to provide automation capabilities to the users. EAMS provides capabilities to create/customize/analyze repository data, architectural blueprints, reports and analytic charts. Oracle Enterprise Repository Oracle Enterprise Repository (OER) is one of the major and central elements of the Oracle SOA Governance solution. Oracle Enterprise Repository provides the tools to manage and govern the metadata for any type of software asset, from business processes and services to patterns, frameworks, applications, components, and models. OER maps the relationships and inter-dependencies that connect those assets to improve impact analysis, promote and optimize their reuse, and measure their impact on the bottom line. It provides the visibility, feedback, controls, and analytics to keep your SOA on track to deliver business value. The intense focus on automation helps to overcome barriers to SOA adoption and streamline governance throughout the lifecycle. Core capabilities of the OER include: Asset Management Asset Lifecycle Management Usage Tracking Service Discovery Version Management Dependency Analysis Portfolio Management EAMS - OER Edition The solution takes the advantages and features from both products and combines them in a symbiotic tool that enhances the quality of SOA Governance Initiatives and Programs. EAMS is able to produce a vast number of outputs by combining its analytical engine, SOA-specific configurations and the assets in OER and other related tools, catalogs and repositories. The configurations encompass not only the extendable parametrization of the metadata but also fully configurable blueprints, PowerPoint reports, charts and queries. The SOA blueprints The solution comes with a set of predefined architectural representations that help the organization better perceive their SOA landscape. More blueprints can be easily created in order to accommodate the organizations needs in terms of detail, audience and metadata. Charts & Dashboards The solution encompasses a set of predefined charts and dashboards that promote a more agile way to control and explore the assets. Time Based Visualization All representations are time bound, and with EAMS - OER you can truly govern SOA with a complete view of the Past, Present and Future; The solution delivers Gap Analysis, a project oriented approach while taking into consideration the As-Was, As-Is an To-Be. Time based visualization differentiating factors: Extensive automation and maintenance of architectural representations Organization wide solution. Easy access and navigation to and between all architectural artifacts and representations. Flexible meta-model, customization and extensibility capabilities. Lifecycle management and enforcement of the time dimension over all the repository content. Profile based customization. Comprehensive visibility Architectural alignment Friendly and striking user interfaces For more information on EAMS visit us here. For more information on SOA visit us here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Link Consulting,OER,OSR,SOA Governance,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

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  • Customers Discuss: Real-World Operational Reporting with Oracle GoldenGate

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} As businesses leverage business intelligence and analytics for day-to-day decision making, operational reporting solutions become more and more common. While some companies can use their production OLTP system for running operational reports, for many it is too much overhead and performance impact for transaction processing systems.  Oracle GoldenGate’s real-time data integration capabilities enable companies to create a real-time replica of their OLTP systems, dedicated for operational reporting. This instance can be optimized for the reports needed as well such as containing only the tables needed from the source. Oracle GoldenGate has certified solutions for many Oracle applications such as EBusiness Suite, Peoplesoft, JD Edwards, to offload operational reporting to another reporting server that has real-time data feeding from the production system. At Oracle OpenWorld we will be hearing from a panel of Oracle GoldenGate customers how they deployed GoldenGate for operational reporting. Comcast, Turk Telekom, and Raymond James will be sharing their experiences and the benefits achieved when implementing GoldenGate’s solution. If you have performance degradation in your production systems due to reporting or ad-hoc queries, and you will be at OpenWorld, don’t miss this informative session: Real-World Operational Reporting with Oracle GoldenGate: Customer Panel-- Tuesday Oct 2nd 11:45am Mascone West 3005. For other data integration sessions at OpenWorld, please check our Focus-On document.  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;} If you cannot attend OpenWorld, please check out related white paper “Using Oracle GoldenGate to Achieve Operational Reporting for Oracle Applications” to learn more.

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  • Detect Unicode Usage in SQL Column

    One optimization you can make to a SQL table that is overly large is to change from nvarchar (or nchar) to varchar (or char).  Doing so will cut the size used by the data in half, from 2 bytes per character (+ 2 bytes of overhead for varchar) to only 1 byte per character.  However, you will lose the ability to store Unicode characters, such as those used by many non-English alphabets.  If the tables are storing user-input, and your application is or might one day be used internationally, its likely that using Unicode for your characters is a good thing.  However, if instead the data is being generated by your application itself or your development team (such as lookup data), and you can be certain that Unicode character sets are not required, then switching such columns to varchar/char can be an easy improvement to make. Avoid Premature Optimization If you are working with a lookup table that has a small number of rows, and is only ever referenced in the application by its numeric ID column, then you wont see any benefit to using varchar vs. nvarchar.  More generally, for small tables, you wont see any significant benefit.  Thus, if you have a general policy in place to use nvarchar/nchar because it offers more flexibility, do not take this post as a recommendation to go against this policy anywhere you can.  You really only want to act on measurable evidence that suggests that using Unicode is resulting in a problem, and that you wont lose anything by switching to varchar/char. Obviously the main reason to make this change is to reduce the amount of space required by each row.  This in turn affects how many rows SQL Server can page through at a time, and can also impact index size and how much disk I/O is required to respond to queries, etc.  If for example you have a table with 100 million records in it and this table has a column of type nchar(5), this column will use 5 * 2 = 10 bytes per row, and with 100M rows that works out to 10 bytes * 100 million = 1000 MBytes or 1GB.  If it turns out that this column only ever stores ASCII characters, then changing it to char(5) would reduce this to 5*1 = 5 bytes per row, and only 500MB.  Of course, if it turns out that it only ever stores the values true and false then you could go further and replace it with a bit data type which uses only 1 byte per row (100MB  total). Detecting Whether Unicode Is In Use So by now you think that you have a problem and that it might be alleviated by switching some columns from nvarchar/nchar to varchar/char but youre not sure whether youre currently using Unicode in these columns.  By definition, you should only be thinking about this for a column that has a lot of rows in it, since the benefits just arent there for a small table, so you cant just eyeball it and look for any non-ASCII characters.  Instead, you need a query.  Its actually very simple: SELECT DISTINCT(CategoryName)FROM CategoriesWHERE CategoryName <> CONVERT(varchar, CategoryName) Summary Gregg Stark for the tip. Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Social Search: Looking for Love

    - by Mike Stiles
    For marketers and enterprise executives who have placed a higher priority on and allocated bigger budgets to search over social, it might be time to notice yet another shift that’s well underway. Social is search. Search marketing was always more of an internal slam-dunk than other digital initiatives. Even a C-suite that understood little about the new technology world knew it’s a good thing when people are able to find you. Google was the new Yellow Pages. Only with Google, you could get your listing first without naming yourself “AAAA Plumbing.” There were wizards out there who could give your business prominence in front of people who were specifically looking for what you offered. Other search giants like Bing also came along to offer such ideal matchmaking possibilities. But what if the consumer isn’t using a search engine to find what they’re looking for? And what if the search engines started altering their algorithms so that search placement manipulation was more difficult? Both of those things have started to happen. Experian Hitwise’s numbers show that visits to the major search engines in the UK dropped 100 million through August. Search engines are far from dead, or even challenged. But more and more, the public is discovering the sites and brands they need through advice they get via social, not search. You’ll find the worlds of social and search increasingly co-mingling as well. Search behemoths Google and Bing are including Facebook and Google+ into their engines. Meanwhile, Facebook and Twitter have done some integration of global web search into their platforms. So what makes social such a worthwhile search entity for brands? First and foremost, the consumer has demonstrated a behavior of acting on recommendations from social connections. A cry in the wilderness like, “Anybody know any good catering companies?” will usually yield a link (and an endorsement) from a friend such as “Yeah, check out Just-Cheese-Balls Catering.” There’s no such human-driven force/influence behind the big search engines. Facebook’s Mark Zuckerberg and others call it “Friend Mining.” It is, in essence, searching for answers from friends’ experiences as opposed to faceless code. And Facebook has all of those friends’ experiences already stored as data. eMarketer says search in an $18 billion business, and investors are really into it. So no shock Facebook’s ready to leverage their social graph into relevant search. What do you do about all this as a brand? For one thing, it’s going to lead to some interesting paid marketing opportunities around the corner, including Sponsored Stories bought against certain queries, inserting deals into search results, capitalizing on social search results on mobile, etc. Apart from that, it might be time to stop mentally separating social and search in your strategic planning and budgeting. Courting your fans on social will cumulatively add up to more valuable, personally endorsed recommendations for your company when a consumer conducts a search on social. Fail to foster those relationships, fail to engage, fail to provide knock-em-dead customer service, fail to wow them with your actual products and services…and you’ll wind up with the visibility you deserve in social search results.

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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  • TechEd North America 2012 – Day 1 #msTechEd

    - by Marco Russo (SQLBI)
    Yesterday I and Alberto delivered the PreCon day about BISM Tabular in Analysis Services 2012. We received very good feedback and now I am looking forward to meet people that read our blogs and our books! Ping me on Twitter at @marcorus if you want to contact me during the conference. This is my schedule for the next few days: ·         Monday, June 11, 2012 o   10:30am-12:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   I will try to watch some sessions in the afternoon o   6:30pm-7:00pm I will be at the O’Reilly booth meeting book readers and doing some book signing ·         Tuesday, June 12, 2012 o   12:30pm-3:30pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) o   5:00pm-6:15pm I will attend the Alberto’s session DBI413 Many-to-Many Relationships in BISM Tabular (room S330E) o   6:15pm-9:00pm Community Night & Ask the Experts, we’ll discuss about Analysis Services, Tabular and Multidimensional! ·         Wednesday, June 13, 2012 o   11:15am-11:30am Don’t miss this special demo session at the Private Cloud, Public Cloud and Data Platform Theater in the Technical Learning Center area (next to the SQL Server 2012 zone). I and Alberto will present Querying multi-billion rows with many to many relationships in SSAS Tabular (xVelocity) and you’re invited to guess the response time of DAX queries on a 4 billion rows table with many-to-many relationships before we run them! We’ll give away some 8GB USB key if you guess the right answer! o   12:30pm-1:00pm I and Alberto will have a book signing session at the TechEd Bookstore o   3:00pm-5:00pm I will be in the Technical Learning Center area, at the Breaktrough Insights (station #8) in the Database & Business Intelligence area (dedicated to SQL Server 2012) ·         Thursday, June 14, 2012 o   2:45pm-4:00pm I will deliver my DBI319 BISM: Multidimensional vs. Tabular breakthrough session in room S320A. I expect many questions here! And if you want to learn more about Analysis Services Tabular, we announced two more online sessions of our SSAS Tabular Workshop: ·         July 2-3, 2012 - SSAS Workshop Online - America's time zone ·         September 3-4, 2012 - SSAS Workshop Online - America's time zone Register now if you are interested, the early bird for the July session expires on June 19, 2012! I will also deliver a SSAS Workshop in Oslo (Norway) on August 27-28, 2012.  

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  • Good DBAs Do Baselines

    - by Louis Davidson
    One morning, you wake up and feel funny. You can’t quite put your finger on it, but something isn’t quite right. What now? Unless you happen to be a hypochondriac, you likely drag yourself out of bed, get on with the day and gather more “evidence”. You check your symptoms over the next few days; do you feel the same, better, worse? If better, then great, it was some temporal issue, perhaps caused by an allergic reaction to some suspiciously spicy chicken. If the same or worse then you go to the doctor for some health advice, but armed with some data to share, and having ruled out certain possible causes that are fixed with a bit of rest and perhaps an antacid. Whether you realize it or not, in comparing how you feel one day to the next, you have taken baseline measurements. In much the same way, a DBA uses baselines to gauge the gauge health of their database servers. Of course, while SQL Server is very willing to share data regarding its health and activities, it has almost no idea of the difference between good and bad. Over time, experienced DBAs develop “mental” baselines with which they can gauge the health of their servers almost as easily as their own body. They accumulate knowledge of the daily, natural state of each part of their database system, and so know instinctively when one of their databases “feels funny”. Equally, they know when an “issue” is just a passing tremor. They see their SQL Server with all of its four CPU cores running close 100% and don’t panic anymore. Why? It’s 5PM and every day the same thing occurs when the end-of-day reports, which are very CPU intensive, are running. Equally, they know when they need to respond in earnest when it is the first time they have heard about an issue, even if it has been happening every day. Nevertheless, no DBA can retain mental baselines for every characteristic of their systems, so we need to collect physical baselines too. In my experience, surprisingly few DBAs do this very well. Part of the problem is that SQL Server provides a lot of instrumentation. If you look, you will find an almost overwhelming amount of data regarding user activity on your SQL Server instances, and use and abuse of the available CPU, I/O and memory. It seems like a huge task even to work out which data you need to collect, let alone start collecting it on a regular basis, managing its storage over time, and performing detailed comparative analysis. However, without baselines, though, it is very difficult to pinpoint what ails a server, just by looking at a single snapshot of the data, or to spot retrospectively what caused the problem by examining aggregated data for the server, collected over many months. It isn’t as hard as you think to get started. You’ve probably already established some troubleshooting queries of the type SELECT Value FROM SomeSystemTableOrView. Capturing a set of baseline values for such a query can be as easy as changing it as follows: INSERT into BaseLine.SomeSystemTable (value, captureTime) SELECT Value, SYSDATETIME() FROM SomeSystemTableOrView; Of course, there are monitoring tools that will collect and manage this baseline data for you, automatically, and allow you to perform comparison of metrics over different periods. However, to get yourself started and to prove to yourself (or perhaps the person who writes the checks for tools) the value of baselines, stick something similar to the above query into an agent job, running every hour or so, and you are on your way with no excuses! Then, the next time you investigate a slow server, and see x open transactions, y users logged in, and z rows added per hour in the Orders table, compare to your baselines and see immediately what, if anything, has changed!

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