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  • SpringMvc java.lang.NullPointerException When Posting Form To Server [closed]

    - by dev_darin
    I have a form with a user name field on it when i tab out of the field i use a RESTFUL Web Service that makes a call to a handler method in the controller. The method makes a call to a DAO class that checks the database if the user name exists. This works fine, however when the form is posted to the server i call the same exact function i would call in the handler method however i get a java.lang.NullPointerException when it accesses the class that makes a call to the DAO object. So it does not even access the DAO object the second time. I have exception handlers around the calls in all my classes that makes calls. Any ideas as to whats happening here why i would get the java.lang.NullPointerException the second time the function is called.Does this have anything to do with Spring instantiating DAO classes using a Singleton method or something to that effect? What can be done to resolve this? This is what happens the First Time The Method is called using the Web Service(this is suppose to happen): 13011 [http-8084-2] INFO com.crimetrack.jdbc.JdbcOfficersDAO - Inside jdbcOfficersDAO 13031 [http-8084-2] DEBUG org.springframework.jdbc.core.JdbcTemplate - Executing prepared SQL query 13034 [http-8084-2] DEBUG org.springframework.jdbc.core.JdbcTemplate - Executing prepared SQL statement [SELECT userName FROM crimetrack.tblofficers WHERE userName = ?] 13071 [http-8084-2] DEBUG org.springframework.jdbc.datasource.DataSourceUtils - Fetching JDBC Connection from DataSource 13496 [http-8084-2] DEBUG org.springframework.jdbc.core.StatementCreatorUtils - Setting SQL statement parameter value: column index 1, parameter value [adminz], value class [java.lang.String], SQL type unknown 13534 [http-8084-2] DEBUG org.springframework.jdbc.datasource.DataSourceUtils - Returning JDBC Connection to DataSource 13537 [http-8084-2] INFO com.crimetrack.jdbc.JdbcOfficersDAO - No username was found in exception 13537 [http-8084-2] INFO com.crimetrack.service.ValidateUserNameManager - UserName :adminz does NOT exist The Second time When The Form Is 'Post' and a validation method handles the form and calls the same method the web service would call: 17199 [http-8084-2] INFO com.crimetrack.service.OfficerRegistrationValidation - UserName is not null so going to check if its valid for :adminz 17199 [http-8084-2] INFO com.crimetrack.service.OfficerRegistrationValidation - User Name in try.....catch block is adminz 17199 [http-8084-2] INFO com.crimetrack.service.ValidateUserNameManager - Inside Do UserNameExist about to validate with username : adminz 17199 [http-8084-2] INFO com.crimetrack.service.ValidateUserNameManager - UserName :adminz EXCEPTION OCCURED java.lang.NullPointerException ValidateUserNameManager.java public class ValidateUserNameManager implements ValidateUserNameIFace { private OfficersDAO officerDao; private final Logger logger = Logger.getLogger(getClass()); public boolean DoesUserNameExist(String userName) throws Exception { logger.info("Inside Do UserNameExist about to validate with username : " + userName); try{ if(officerDao.OfficerExist(userName) == true){ logger.info("UserName :" + userName + " does exist"); return true; }else{ logger.info("UserName :" + userName + " does NOT exist"); return false; } }catch(Exception e){ logger.info("UserName :" + userName + " EXCEPTION OCCURED " + e.toString()); return false; } } /** * @return the officerDao */ public OfficersDAO getOfficerDao() { return officerDao; } /** * @param officerdao the officerDao to set */ public void setOfficerDao(OfficersDAO officerDao) { this.officerDao = officerDao; } } JdbcOfficersDAO.java public boolean OfficerExist(String userName){ String dbUserName; try{ logger.info("Inside jdbcOfficersDAO"); String sql = "SELECT userName FROM crimetrack.tblofficers WHERE userName = ?"; try{ dbUserName = (String)getJdbcTemplate().queryForObject(sql, new Object[]{userName},String.class); logger.info("Just Returned from database"); }catch(Exception e){ logger.info("No username was found in exception"); return false; } if(dbUserName == null){ logger.info("Database did not find any matching records"); } logger.info("after JdbcTemplate"); if (dbUserName.equals(userName)) { logger.info("User Name Exists"); return true; }else{ logger.info("User Name Does NOT Exists"); return false; } }catch(Exception e){ logger.info("Exception Message in JdbcOfficersDAO is "+e.getMessage()); return false; } } OfficerRegistrationValidation.java public class OfficerRegistrationValidation implements Validator{ private final Logger logger = Logger.getLogger(getClass()); private ValidateUserNameManager validateUserNameManager; public boolean supports(Class<?> clazz) { return Officers.class.equals(clazz); } public void validate(Object target, Errors errors) { Officers officer = (Officers) target; if (officer.getUserName() == null){ errors.rejectValue("userName", "userName.required"); }else{ String userName = officer.getUserName(); logger.info("UserName is not null so going to check if its valid for :" + userName); try { logger.info("User Name in try.....catch block is " + userName); if (validateUserNameManager.DoesUserNameExist(userName)== true){ errors.rejectValue("userName", "userName.exist"); } } catch (Exception e) { logger.info("Error Occured When validating UserName"); errors.rejectValue("userName", "userName.error"); } } if(officer.getPassword()== null){ errors.rejectValue("password", "password.required"); } if(officer.getPassword2()== null){ errors.rejectValue("password2", "password2.required"); } if(officer.getfName() == null){ errors.rejectValue("fName","fName.required"); } if(officer.getlName() == null){ errors.rejectValue("lName", "lName.required"); } if (officer.getoName() == null){ errors.rejectValue("oName", "oName.required"); } if (officer.getEmailAdd() == null){ errors.rejectValue("emailAdd", "emailAdd.required"); } if (officer.getDob() == null){ errors.rejectValue("dob", "dob.required"); } if (officer.getGenderId().equals("A")){ errors.rejectValue("genderId","genderId.required"); } if(officer.getDivisionNo() == 1){ errors.rejectValue("divisionNo", "divisionNo.required"); } if(officer.getPositionId() == 1){ errors.rejectValue("positionId", "positionId.required"); } if (officer.getStartDate() == null){ errors.rejectValue("startDate","startDate.required"); } if(officer.getEndDate() == null){ errors.rejectValue("endDate","endDate.required"); } logger.info("The Gender ID is " + officer.getGenderId().toString()); if(officer.getPhoneNo() == null){ errors.rejectValue("phoneNo", "phoneNo.required"); } } /** * @return the validateUserNameManager */ public ValidateUserNameManager getValidateUserNameManager() { return validateUserNameManager; } /** * @param validateUserNameManager the validateUserNameManager to set */ public void setValidateUserNameManager( ValidateUserNameManager validateUserNameManager) { this.validateUserNameManager = validateUserNameManager; } } Update Error Log using Logger.Error("Message", e): 39024 [http-8084-2] INFO com.crimetrack.service.OfficerRegistrationValidation - UserName is not null so going to check if its valid for :adminz 39025 [http-8084-2] INFO com.crimetrack.service.OfficerRegistrationValidation - User Name in try.....catch block is adminz 39025 [http-8084-2] ERROR com.crimetrack.service.OfficerRegistrationValidation - Message java.lang.NullPointerException at com.crimetrack.service.OfficerRegistrationValidation.validate(OfficerRegistrationValidation.java:47) at org.springframework.validation.DataBinder.validate(DataBinder.java:725) at org.springframework.web.bind.annotation.support.HandlerMethodInvoker.doBind(HandlerMethodInvoker.java:815) at org.springframework.web.bind.annotation.support.HandlerMethodInvoker.resolveHandlerArguments(HandlerMethodInvoker.java:367) at org.springframework.web.bind.annotation.support.HandlerMethodInvoker.invokeHandlerMethod(HandlerMethodInvoker.java:171) at org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter.invokeHandlerMethod(AnnotationMethodHandlerAdapter.java:436) at org.springframework.web.servlet.mvc.annotation.AnnotationMethodHandlerAdapter.handle(AnnotationMethodHandlerAdapter.java:424) at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:923) at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:852) at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java:882) at org.springframework.web.servlet.FrameworkServlet.doPost(FrameworkServlet.java:789) at javax.servlet.http.HttpServlet.service(HttpServlet.java:637) at javax.servlet.http.HttpServlet.service(HttpServlet.java:717) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:290) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:233) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:102) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:293) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:859) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:602) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489) at java.lang.Thread.run(Unknown Source) 39025 [http-8084-2] INFO com.crimetrack.service.OfficerRegistrationValidation - Error Occured When validating UserName

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  • Row Oriented Security Using Triggers

    Handling security in an application can be a bit cumbersome. New author R Glen Cooper brings us a database design technique from the real world that can help you. Free trial of SQL Backup™“SQL Backup was able to cut down my backup time significantly AND achieved a 90% compression at the same time!” Joe Cheng. Download a free trial now.

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  • Oracle Magazine, July/August 2008

    Oracle Magazine July/August features articles on business intelligence, Linux, green technology, Oracle OpenWorld, Oracle Advanced Compression, Oracle Total Recall, managing files, using database advisors, Linux kernel, page template consistency, handling exceptions, client result cache, and much more.

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  • Metrics - A little knowledge can be a dangerous thing (or 'Why you're not clever enough to interpret metrics data')

    - by Jason Crease
    At RedGate Software, I work on a .NET obfuscator  called SmartAssembly.  Various features of it use a database to store various things (exception reports, name-mappings, etc.) The user is given the option of using either a SQL-Server database (which requires them to have Microsoft SQL Server), or a Microsoft Access MDB file (which requires nothing). MDB is the default option, but power-users soon switch to using a SQL Server database because it offers better performance and data-sharing. In the fashionable spirit of optimization and metrics, an obvious product-management question is 'Which is the most popular? SQL Server or MDB?' We've collected data about this fact, using our 'Feature-Usage-Reporting' technology (available as part of SmartAssembly) and more recently our 'Application Metrics' technology: Parameter Number of users % of total users Number of sessions Number of usages SQL Server 28 19.0 8115 8115 MDB 114 77.6 1449 1449 (As a disclaimer, please note than SmartAssembly has far more than 132 users . This data is just a selection of one build) So, it would appear that SQL-Server is used by fewer users, but more often. Great. But here's why these numbers are useless to me: Only the original developers understand the data What does a single 'usage' of 'MDB' mean? Does this happen once per run? Once per option change? On clicking the 'Obfuscate Now' button? When running the command-line version or just from the UI version? Each question could skew the data 10-fold either way, and the answers only known by the developer that instrumented the application in the first place. In other words, only the original developer can interpret the data - product-managers cannot interpret the data unaided. Most of the data is from uninterested users About half of people who download and run a free-trial from the internet quit it almost immediately. Only a small fraction use it sufficiently to make informed choices. Since the MDB option is the default one, we don't know how many of those 114 were people CHOOSING to use the MDB, or how many were JUST HAPPENING to use this MDB default for their 20-second trial. This is a problem we see across all our metrics: Are people are using X because it's the default or are they using X because they want to use X? We need to segment the data further - asking what percentage of each percentage meet our criteria for an 'established user' or 'informed user'. You end up spending hours writing sophisticated and dubious SQL queries to segment the data further. Not fun. You can't find out why they used this feature Metrics can answer the when and what, but not the why. Why did people use feature X? If you're anything like me, you often click on random buttons in unfamiliar applications just to explore the feature-set. If we listened uncritically to metrics at RedGate, we would eliminate the most-important and more-complex features which people actually buy the software for, leaving just big buttons on the main page and the About-Box. "Ah, that's interesting!" rather than "Ah, that's actionable!" People do love data. Did you know you eat 1201 chickens in a lifetime? But just 4 cows? Interesting, but useless. Often metrics give you a nice number: '5.8% of users have 3 or more monitors' . But unless the statistic is both SUPRISING and ACTIONABLE, it's useless. Most metrics are collected, reviewed with lots of cooing. and then forgotten. Unless a piece-of-data could change things, it's useless collecting it. People get obsessed with significance levels The first things that lots of people do with this data is do a t-test to get a significance level ("Hey! We know with 99.64% confidence that people prefer SQL Server to MDBs!") Believe me: other causes of error/misinterpretation in your data are FAR more significant than your t-test could ever comprehend. Confirmation bias prevents objectivity If the data appears to match our instinct, we feel satisfied and move on. If it doesn't, we suspect the data and dig deeper, plummeting down a rabbit-hole of segmentation and filtering until we give-up and move-on. Data is only useful if it can change our preconceptions. Do you trust this dodgy data more than your own understanding, knowledge and intelligence?  I don't. There's always multiple plausible ways to interpret/action any data Let's say we segment the above data, and get this data: Post-trial users (i.e. those using a paid version after the 14-day free-trial is over): Parameter Number of users % of total users Number of sessions Number of usages SQL Server 13 9.0 1115 1115 MDB 5 4.2 449 449 Trial users: Parameter Number of users % of total users Number of sessions Number of usages SQL Server 15 10.0 7000 7000 MDB 114 77.6 1000 1000 How do you interpret this data? It's one of: Mostly SQL Server users buy our software. People who can't afford SQL Server tend to be unable to afford or unwilling to buy our software. Therefore, ditch MDB-support. Our MDB support is so poor and buggy that our massive MDB user-base doesn't buy it.  Therefore, spend loads of money improving it, and think about ditching SQL-Server support. People 'graduate' naturally from MDB to SQL Server as they use the software more. Things are fine the way they are. We're marketing the tool wrong. The large number of MDB users represent uninformed downloaders. Tell marketing to aggressively target SQL Server users. To choose an interpretation you need to segment again. And again. And again, and again. Opting-out is correlated with feature-usage Metrics tends to be opt-in. This skews the data even further. Between 5% and 30% of people choose to opt-in to metrics (often called 'customer improvement program' or something like that). Casual trial-users who are uninterested in your product or company are less likely to opt-in. This group is probably also likely to be MDB users. How much does this skew your data by? Who knows? It's not all doom and gloom. There are some things metrics can answer well. Environment facts. How many people have 3 monitors? Have Windows 7? Have .NET 4 installed? Have Japanese Windows? Minor optimizations.  Is the text-box big enough for average user-input? Performance data. How long does our app take to start? How many databases does the average user have on their server? As you can see, questions about who-the-user-is rather than what-the-user-does are easier to answer and action. Conclusion Use SmartAssembly. If not for the metrics (called 'Feature-Usage-Reporting'), then at least for the obfuscation/error-reporting. Data raises more questions than it answers. Questions about environment are the easiest to answer.

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  • Avoiding connection timeouts on first connection to LocalDB edition of SQL Server Express

    - by Greg Low
    When you first make a connection to the new LocalDB edition of SQL Server Express, the system files, etc. that are required for a new version are spun up. (The system files such as the master database files, etc. end up in C:\Users\<username>\AppData\Local\Microsoft\Microsoft SQL Server Local DB\Instances\LocalDBApp1) That can take a while on a slower machine, so this means that the default connection timeout of 30 seconds (in most client libraries) could be exceeded. To avoid this hit on the...(read more)

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  • La préversion du pilote ODBC SQL Server pour Linux disponible, avec des outils pour SQLCMD et pour importer et exporter des données

    La préversion du pilote ODBC SQL Server pour Linux disponible avec des outils pour importer, exporter des données et exécuter des requêtes et scripts Comme l'avait annoncé Microsoft lors de son salon Pass Summit 2011, la préversion (CTP1) de son pilote ODBC (Open Database Connectity) SQL Server pour les systèmes d'exploitation Linux est disponible. Ce driver devrait permettre aux développeurs C et C++ de se connecter à SQL Server à partir des plateformes Linux et fournir un mécanisme pour que les applications et bibliothèques d'exécution (runtimes) puissent accéder à SQL Server. Pour l'instant, cett...

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  • Oracle Advanced Compression Webcast Replay Available

    - by [email protected]
    Did you miss our webcast "Save BIG on Storage - with Oracle Database 11g and Advanced Compression"? Don't worry, you can still register and view the recording including the full Q&A session with Tim Shetler and Bill Hodak. Click here to learn how Oracle Advanced Compression can reduce your disk space requirements for all types of data, improve query and storage performance and lower storage costs throughout the datacenter.

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  • Avoid SQL Injection with Parameters

    - by simonsabin
    The best way to avoid SQL Injection is with parameters. With parameters you can’t get SQL Injection. You only get SQL Injection where you are building a SQL statement by concatenating your parameter values in with your SQL statement. Annoyingly many TSQL statements don’t take parameters, CREATE DATABASE for instance, or really annoyingly ALTER USER. In these situations you have to rely on using QUOTENAME or REPLACE to avoid SQL Injection. (Kimberly Tripp takes about this in her recent blog post Little...(read more)

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  • Some tips for working with big data models

    The main goal of this article is to present some tips to help professionals that need to work with complex, big, and hard to understand database models that anyone may came across some day. Join SQL Backup’s 35,000+ customers to compress and strengthen your backups "SQL Backup will be a REAL boost to any DBA lucky enough to use it." Jonathan Allen. Download a free trial now.

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  • ASP.NET 4.0 and the Entity Framework 4 - Part 4 - A 3 Layered Approach to the Entity Framework

    In this article, Vince suggests a pattern to use when developing a three layered application using the Entity Framework 4. After providing a short introduction he demonstrates the creation of the database, data access layer, business logic layer, and a web form. He does so with the help of detailed explanations, source code examples and related screenshots. He also examines how to select records to load a Drop Down List, including adding, editing and deleting records.

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  • On PASS Summit Locations, Time Will Tell

    - by andyleonard
    Introduction The PASS Board, continuing a trend of more openness championed by Board members, released the results of its Location Survey . Along with this, PASS President Rushabh Mehta added a blog post explaining the interpretation and logic behind the decision to not move the location of upcoming PASS Summits. Kudos Less than a week ago, Rushabh and I shared beverages and talked about life, database work, SSIS Frameworks, SQL Saturdays, PASS, and business. I know most members of the PASS Board...(read more)

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  • Is it good or bad to have dynamic content in page titles and/or description

    - by Gunjan
    In a local listing website, I append number of search results found in the description(not in title currntly) meta tag of the page as I think this is valuable for users for e.g. "Find address, phone numbers, blah blah blah for 21 outlets in locality. some more stuff after this..." as more places are added to the database, the description for the same page will change frequently. is this good or bad for SEO how about doing the same for title tags?

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  • Characteristics and Common Usage Scenarios of SSIS Variables

    SQL Server Integration Services' primary purpose is to serve as a database development platform. As such, it is subject to standard best practices of software programming, which among other recommendations, advocate reusability. Realizing this objective in SSIS frequently involves the use of variables. Their characteristics and most common usage scenarios will be the primary subject of our presentation.

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  • Using Alt-select in SSMS, Word, and elsewhere

    - by John Paul Cook
    A surprising number of database people and Windows users in general don’t know about Alt select . This is a Windows technique not unique to SSMS that allows a user to select an arbitrary rectangular region of text and delete it, cut it, or copy it. Where I find Alt select particularly useful in SSMS is when I have a bunch of inline comments that are too far to the right. I want to delete much of the whitespace in front of them to move them to the left without disturbing any of the rest of the T-SQL....(read more)

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  • Upcoming PTS Exadata Technical Workshops - July 26-27, 2012 -Madrid, Spain

    - by Javier Puerta
    The popular Exadata Technical Workshops delivered by PTS (Platform Technology Services) for partners architects and technical staff  are scheduled for the following locations and dates: (agenda details and registration by clicking the link) July 26-27, 2012: Madrid, Spain Register now at the link below: Oracle Database Machine and Exadata v2 Workshop July 26-27, 2012: Oracle Madrid, Spain Register Here! Questions? For registration questions please send an email to [email protected] Platform Technologies Enablement Services

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  • Register Now to the New Oracle Argus Safety 7 Implementation Boot Camp in Miami, Florida - Nov 12-15, 2013!

    - by Roxana Babiciu
    Oracle's Argus Safety 7 boot camp is an instructor-led training course which provides a good understanding of how Oracle Argus Safety Standard Edition and Oracle Argus Safety Japan products addresses complex pharmacovigilance requirements and helps ensure global regulatory compliance by enabling sound safety decisions. Oracle Argus Safety's advanced database helps ensure global regulatory compliance thus in turn enabling sound safety decisions. Register now to this boot camp, a 4-day (in class) instructor led event taught using a combination of lectures and hands-on exercises.

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  • Celko's SQL Stumper: Eggs in one Basket

    Joe Celko returns with another stumper to celebrate Easter. Unsurprisingly, this involves eggs. More surprising is the nature of the puzzle: This time, the puzzle is one of designing a database rather than a query. DDL as well as the DML.

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  • Ghost in the machine

    - by GrumpyOldDBA
    Well it does relate to ghosts, in this case dbGhost, http://dbghost.com/    which is what this post is about. Ghost creates databases on the fly, something I personally don’t like too much, which it then compares to a “base” database to produce release scripts. ( The brief description ). As with all things sometimes all is not well and the server is left with a number of ghost created databases so I have to have a job to delete these every night before backups, it’s not difficult to code...(read more)

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  • What Counts for a DBA: Passion

    - by drsql
    One of my first questions, when interviewing for a DBA/Programmer position, is always: “Why do you want this job?” The answers I receive range from cheesy hyperbole (“I want to enhance your services with my vast knowledge”) to deadpan realism (“I have N kids who all have a hole in the front of their face where food goes"). Both answers are fine in their own way, at least displaying some self-confidence, humour and honesty, but once in a while, I'll hear the answer that is music to me ears... “I LOVE DATABASES!” Whenever I hear it, my nerves tingle in hopeful anticipation; have I found someone for whom working with database isn't just a job, but a passion? Inevitably, I'm often disappointed. What initially seemed like passion turns out to be rather shallow enthusiasm; the person is enthusiastic about working with databases in the same way he or she might be about eating a bag of Cajun spiced kettle chips; enjoyable, but not something to think about too deeply or take too seriously. Enthusiasm comes, and enthusiasm goes. I've seen countless technical forum users burst onto the scene in a blaze of frantic question-answering, only to fade away within days, never to be heard from again. Passion, however, is more of a longstanding commitment. The biographies of the great technologists and authors of the recent past are full of the sort of passion and engrossment that lead a person to write a novel non-stop for a fortnight with no sleep and only dog food to eat (Philip K. Dick), or refuse to leave the works of the first tunnel under the Thames, even though it was flooded (Brunel). In a similar (though more modest) way, my passion for working with databases has led me to acts that might cause someone for whom it was "just a job" to roll their eyes in disbelief. Most evenings you're more likely to find me reading a database book than watching TV. I've spent hundreds of hours of my spare time writing blogs and articles (some of which are only read by tens of people); I've spent hundreds of dollars travelling to conferences, paying my own flight and hotel expenses, so that I can share a little of what I know, and mix with some like-minded people. And I know I'm far from alone in this, in the SQL Server community. Passion isn't everything, of course, and it isn't always accompanied by any great skill, but in almost every case, that skill can be cultivated over time. If you are doing what you are passionate about, work turns into more than just a way to feed your kids; it becomes your hobby, entertainment, and preoccupation. And it is this passion that gives a DBA the obsessive stubbornness, the refusal to be beaten by even the most difficult problem, which is often so crucial. A final word of warning though: passion without limits can turn weird. Never let it get in the way of your wife, kids, bills, or personal hygiene.

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  • The Birth of SSAS Compare

    - by Red Gate Software BI Tools Team
    Noemi Moreno, Red Gate Business Intelligence Specialist Software vendors – even Microsoft – tend to forget about the needs of business intelligence developers. We are a rare and rather invisible species. For example, BIDS remained in VS 2008 until SQL Server 2012. It took until this release before we got something as simple as an “undo” function. Before I joined Red Gate as a BI specialist, I worked on SQL Development. I’ll never forget the time I discovered Red Gate’s SQL Compare tool and how it reduced the task of preparing a database release from a couple of days to ten minutes. When I moved to SSAS, MDX and cubes, I became frustrated with the deployment process because I couldn’t find a tool that made Cube releases as easy as they are with SQL Compare. This became my quest. I pitched the idea to a few people in Red Gate’s regular Down Tools Week, when everyone puts down their day-to-day tasks and works on their own projects. My task was to reason with a roomful of cynical developers, hardened to the blandishments of project managers, for help to develop a tool that would compare two different SSAS databases and create the script to process only the objects that needed processing, thereby reducing release time to only a few minutes. I walked to the podium and gave them the full story of the distressed BI specialists, doomed to spend tedious hours preparing deployment scripts. A few developers recovered from their torpor to cast a languid eye at my presentation. It wasn’t enough. In a sudden impulse, I blurted out a promise to perform a flamenco dance for just the team if the tool was able to successfully compare two SSAS databases and generate a script by the end of the week. I was lucky enough that some of them believed me and jumped in: David Pond (Dev), Matt Burton (Dev), Tilman Bregler (Dev), Shobana Sekar (Test), Ruchija Raj (Test), Nick Sutherland (Product Manager) and Irma Tanovic (BI). They didn’t know that Irma and I would be away on a conference in Amsterdam and would leave them without our support. But to my surprise, they had a working tool by the time we came back – basic, and with a few bugs, but a working tool nonetheless! Seeing it compare a very basic SSAS database, detect the changes and generate the scripts was amazing! Something that normally takes half a day was done in under a minute. Since then, a few months have passed and a BI Tools team has been created at Red Gate to work full time on BI tools for BI developers, starting with SSAS Compare. How cool is that? So download the free beta and give us your feedback. And the flamenco? I still need to deliver that. Tilman reminds me every day! I need to get the full flamenco costume.

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  • What algorithms can I use to detect if articles or posts are duplicates?

    - by michael
    I'm trying to detect if an article or forum post is a duplicate entry within the database. I've given this some thought, coming to the conclusion that someone who duplicate content will do so using one of the three (in descending difficult to detect): simple copy paste the whole text copy and paste parts of text merging it with their own copy an article from an external site and masquerade as their own Prepping Text For Analysis Basically any anomalies; the goal is to make the text as "pure" as possible. For more accurate results, the text is "standardized" by: Stripping duplicate white spaces and trimming leading and trailing. Newlines are standardized to \n. HTML tags are removed. Using a RegEx called Daring Fireball URLs are stripped. I use BB code in my application so that goes to. (ä)ccented and foreign (besides Enlgish) are converted to their non foreign form. I store information about each article in (1) statistics table and in (2) keywords table. (1) Statistics Table The following statistics are stored about the textual content (much like this post) text length letter count word count sentence count average words per sentence automated readability index gunning fog score For European languages Coleman-Liau and Automated Readability Index should be used as they do not use syllable counting, so should produce a reasonably accurate score. (2) Keywords Table The keywords are generated by excluding a huge list of stop words (common words), e.g., 'the', 'a', 'of', 'to', etc, etc. Sample Data text_length, 3963 letter_count, 3052 word_count, 684 sentence_count, 33 word_per_sentence, 21 gunning_fog, 11.5 auto_read_index, 9.9 keyword 1, killed keyword 2, officers keyword 3, police It should be noted that once an article gets updated all of the above statistics are regenerated and could be completely different values. How could I use the above information to detect if an article that's being published for the first time, is already existing within the database? I'm aware anything I'll design will not be perfect, the biggest risk being (1) Content that is not a duplicate will be flagged as duplicate (2) The system allows the duplicate content through. So the algorithm should generate a risk assessment number from 0 being no duplicate risk 5 being possible duplicate and 10 being duplicate. Anything above 5 then there's a good possibility that the content is duplicate. In this case the content could be flagged and linked to the article's that are possible duplicates and a human could decide whether to delete or allow. As I said before I'm storing keywords for the whole article, however I wonder if I could do the same on paragraph basis; this would also mean further separating my data in the DB but it would also make it easier for detecting (2) in my initial post. I'm thinking weighted average between the statistics, but in what order and what would be the consequences...

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  • Developing and Deploying with SQL Azure

    Microsoft published a short SQL Azure deployment document: This document provides guidelines on how to deploy an existing on-premise SQL Server database into SQL Azure. It also discusses best practices related to data migration. Download it here var addthis_pub="guybarrette";...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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  • Developing and Deploying with SQL Azure

    - by guybarrette
    Microsoft published a short SQL Azure deployment document: This document provides guidelines on how to deploy an existing on-premise SQL Server database into SQL Azure. It also discusses best practices related to data migration. Download it here var addthis_pub="guybarrette";

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