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  • Perform case-insensitive lookup on an Array in MongoDB?

    - by Hal
    So, I've decided to get my feet wet with MongoDB and love it so far. It seems very fast and flexible which is great. But, I'm still going through the initial learning curve and as such, I'm spending hours digging for info on the most basic things. I've search throughout the MongoDB online documentation and have spent hours Googling through pages without any mention of this. I know Mongo is still quite new (v1.x) so it explains why there isn't much information yet. I've even trying looking for books on Mongo without much luck. So yes, I've tried to RTFM with no luck, so, now I turn to you. I have an Array of various Hashtags nested in each document (ie: #apples, #oranges, #Apples, #APPLES) and I would like to perform a case-insensitive find() to access all the documents containing apples in any case. It seems that find does support some regex with /i, but I can't seem to get this working either. Anyway, I hope this is a quick answer for someone. Here's my existing call in PHP which is case sensitive: $cursor = $collection->find(array( "hashtags" => array("#".$keyword)))->sort(array('$natural' => -1))->limit(10); Help?

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  • How do I remove sensitive files from git's history

    - by Stefan Liebenberg
    I would like to put a git project ( Rails app ) on github, but it contains certian files with sensitive data ( usernames and passwords, like /config/deploy.rb for capistrano ). I know I can add these filenames to .gitignore, but this would not remove the their history within git. I also don't want to start over again by deleting the /.git directory. Is there a way to remove all traces of a particular file in your git history?

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  • Design Pattern for "Context Sensitive" Right Click Menu

    - by MadSeb
    Hi, What is a design pattern I can use for generating "context-sensitive" right click menus ? I have in mind a "Windows Explorer"-like application where a user can right click on a folder and get a list of menu items but right click on a drive and get a totally different list. What design pattern should I use ? Would the factory design pattern be appropiate for handling such a menu ? Regards, Seb

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  • Customising log4j logging for sensitive data

    - by Xetius
    I have a class which contains sensitive information (Credit card info, phone numbers etc). I want to be able to pass this class to log4j, but have it obscure certain information. If I have a class UserInformation which has getPhoneNumber, getCreditCardNumber methods, how would I customise log4j or this class so that it will obscure the numbers correctly. I want the credit card number to be output as xxxx-xxxx-xxxx-1234 and the phone number to be output as xxxx-xxx-xxx given that these would be 1234-1234-1234-1234 and 1234-567-890 Thanks

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  • How to do a case sensitive GROUP BY?

    - by Abe Miessler
    If I execute the code below: with temp as ( select 'Test' as name UNION ALL select 'TEST' UNION ALL select 'test' UNION ALL select 'tester' UNION ALL select 'tester' ) SELECT name, COUNT(name) FROM temp group by name It returns the results: TEST 3 tester 2 Is there a way to have the group by be case sensitive so that the results would be: Test 1 TEST 1 test 1 tester 2

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  • Deploying to Heroku with sensitive setting information

    - by TK
    I'm using GitHub for code and Heroku for the deployment platform for my rails app. I don't want to have sensitive data under Git. Such data include database file settings (database.yml) and some other files that have secret API keys. When I deploy to heroku, how can I deal with files that are not under revision control. When I use Capistrano, I can write some hook methods, but I don't know what to do with Heroku.

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  • not case sensitive query in mysql

    - by Mac Taylor
    hey guys i need to query my database and find results : mysql_query("select * from ".ALU_TABLE." where username like '%$q%' or name like '%$q%'"); if i have a name in my table such as Book and i enter book in search box it wont show the Book i need to query my database as not to be case sensitive.

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  • The Business case for Big Data

    - by jasonw
    The Business Case for Big Data Part 1 What's the Big Deal Okay, so a new buzz word is emerging. It's gone beyond just a buzzword now, and I think it is going to change the landscape of retail, financial services, healthcare....everything. Let me spend a moment to talk about what i'm going to talk about. Massive amounts of data are being collected every second, more than ever imaginable, and the size of this data is more than can be practically managed by today’s current strategies and technologies. There is a revolution at hand centering on this groundswell of data and it will change how we execute our businesses through greater efficiencies, new revenue discovery and even enable innovation. It is the revolution of Big Data. This is more than just a new buzzword is being tossed around technology circles.This blog series for Big Data will explain this new wave of technology and provide a roadmap for businesses to take advantage of this growing trend. Cases for Big Data There is a growing list of use cases for big data. We naturally think of Marketing as the low hanging fruit. Many projects look to analyze twitter feeds to find new ways to do marketing. I think of a great example from a TED speech that I recently saw on data visualization from Facebook from my masters studies at University of Virginia. We can see when the most likely time for breaks-ups occurs by looking at status changes and updates on users Walls. This is the intersection of Big Data, Analytics and traditional structured data. Ted Video Marketers can use this to sell more stuff. I really like the following piece on looking at twitter feeds to measure mood. The following company was bought by a hedge fund. They could predict how the S&P was going to do within three days at an 85% accuracy. Link to the article Here we see a convergence of predictive analytics and Big Data. So, we'll look at a lot of these business cases and start talking about what this means for the business. It's more than just finding ways to use Hadoop + NoSql and we'll talk about that too. How do I start in Big Data? That's what is coming next post.

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  • Windows Azure Use Case: Fast Acquisitions

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Many organizations absorb, take over or merge with other organizations. In these cases, one of the most difficult parts of the process is the merging or changing of the IT systems that the employees use to do their work, process payments, and even get paid. Normally this means that the two companies have disparate systems, and several approaches can be used to have the two organizations use technology between them. An organization may choose to retain both systems, and manage them separately. The advantage here is speed, and keeping the profit/loss sheets separate. Another choice is to slowly “sunset” or stop using one organization’s system, and cutting to the other system immediately or at a later date. Although a popular choice, one of the most difficult methods is to extract data and processes from one system and import it into the other. Employees at the transitioning system have to be trained on the new one, the data must be examined and cleansed, and there is inevitable disruption when this happens. Still another option is to integrate the systems. This may prove to be as much work as a transitional strategy, but may have less impact on the users or the balance sheet. Implementation: A distributed computing paradigm can be a good strategic solution to most of these strategies. Retaining both systems is made more simple by allowing the users at the second organization immediate access to the new system, because security accounts can be created quickly inside an application. There is no need to set up a VPN or any other connections than just to the Internet. Having the users stop using one system and start with the other is also simple in Windows Azure for the same reason. Extracting data to Azure holds the same limitations as an on-premise system, and may even be more problematic because of the large data transfers that might be required. In a distributed environment, you pay for the data transfer, so a mixed migration strategy is not recommended. However, if the data is slowly migrated over time with a defined cutover, this can be an effective strategy. If done properly, an integration strategy works very well for a distributed computing environment like Windows Azure. If the Azure code is architected as a series of services, then endpoints can expose the service into and out of not only the Azure platform, but internally as well. This is a form of the Hybrid Application use-case documented here. References: Designing for Cloud Optimized Architecture: http://blogs.msdn.com/b/dachou/archive/2011/01/23/designing-for-cloud-optimized-architecture.aspx 5 Enterprise steps for adopting a Platform as a Service: http://blogs.msdn.com/b/davidmcg/archive/2010/12/02/5-enterprise-steps-for-adopting-a-platform-as-a-service.aspx?wa=wsignin1.0

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  • The Case of the Missing Date/Time Stamp: Reporting Services 2008 R2 Snapshots

    - by smisner
    This week I stumbled upon an undocumented “feature” in SQL Server 2008 R2 Reporting Services as I was preparing a demonstration on how to set up and use report snapshots. If you’re familiar with the main changes in this latest release of Reporting Services, you probably already know that Report Manager got a facelift this time around. Although this facelift was generally a good thing, one of the casualties – in my opinion – is the loss of the snapshot label that served two purposes… First, it flagged the report as a snapshot. Second, it let you know when that snapshot was created. As part of my standard operating procedure when demonstrating report snapshots, I point out this label, so I was rather taken aback when I didn’t see it in the demonstration I was preparing. It sort of upset my routine, and I’m rather partial to my routines. I thought perhaps I wasn’t looking in the right place and changed Report Manager from Tile View to Detail View, but no – that label was still missing. In the grand scheme of life, it’s not an earth-shattering change, but you’ll have to look at the Modified Date in Details View to know when the snapshot was run. Or hope that the report developer included a textbox to show the execution time in the report. (Hint: this is a good time to add this to your list of report development best practices, whether a report gets set up as a report snapshot or not!) A snapshot from the past In case you don’t remember how a snapshot appeared in Report Manager back in the old days (of SQL Server 2008 and earlier), here’s an image I snagged from my Reporting Services 2008 Step by Step manuscript: A snapshot in the present A report server running in SharePoint integrated mode had no such label. There you had to rely on the Report Modified date-time stamp to know the snapshot execution time. So I guess all platforms are now consistent. Here’s a screenshot of Report Manager in the 2008 R2 version. One of these is a snapshot and the rest execute on demand. Can you tell which is the snapshot? Consider descriptions as an alternative So my report snapshot demonstration has one less step, and I’ll need to edit the Denali version of the Step by Step book. Things are simpler this way, but I sure wish we had an easier way to identify the execution methods of the reports. Consider using the description field to alert users that the report is a snapshot. It might save you a few questions about why the data isn’t up-to-date if the users know that something changed in the source of the report. Notice that the full description doesn’t display in Tile View, so keep it short and sweet or instruct users to open Details View to see the entire description.

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  • Why scala not allowing '$' identifier in case statement?

    - by Alex R
    this works as expected scala 3 match { case x:Int = 2*x } res1: Int = 6 why does this fail? scala 3 match { case $x:Int = 2*$x } :1: error: '=' expected but ':' found. 3 match { case $x:Int = 2*$x } ^ scala 3 match { case `$x`:Int = 2*$x } :1: error: '=' expected but ':' found. 3 match { case `$x`:Int = 2*$x } ^ scala 3 match { case `$x` : Int = 2*$x } :1: error: '=' expected but ':' found. 3 match { case `$x` : Int = 2*$x } '$' is supposed to be a valid identifier character, as demonstrated here: scala var y = 1 y: Int = 1 scala var $y = 2 $y: Int = 2 Thanks

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  • Strange behavior of Switch Case statement in Java

    - by supernova
    I understand that Java switch case are designed this way but why is this behavior in Java int x = 1; switch(x){ case 1: System.out.println(1); case 2: System.out.println(2); case 3: System.out.println(3); default: System.out.println("default"); } output : 1 2 3 default My question is why case 2 and 3 are executed? I know I omitted break statement but x was never 2 or 3 but case 2 and case 3 still executes?

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  • Switch/Case statements in C++

    - by vgoklani
    Regarding the switch/case statement in the C++ code below: "Case 1" is obviously false, so how/why does it enter the do-while loop? #include <iostream> using namespace std; int main() { int test = 4; switch(test) { case 1: do { case 2: test++; case 3: test++; case 4: cout << "How did I get inside the do-while loop?" << endl; break; case 5: test++; } while(test > 0); cout << test << endl; } }

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  • Windows Azure Use Case: Agility

    - by BuckWoody
    This is one in a series of posts on when and where to use a distributed architecture design in your organization's computing needs. You can find the main post here: http://blogs.msdn.com/b/buckwoody/archive/2011/01/18/windows-azure-and-sql-azure-use-cases.aspx  Description: Agility in this context is defined as the ability to quickly develop and deploy an application. In theory, the speed at which your organization can develop and deploy an application on available hardware is identical to what you could deploy in a distributed environment. But in practice, this is not always the case. Having an option to use a distributed environment can be much faster for the deployment and even the development process. Implementation: When an organization designs code, they are essentially becoming a Software-as-a-Service (SaaS) provider to their own organization. To do that, the IT operations team becomes the Infrastructure-as-a-Service (IaaS) to the development teams. From there, the software is developed and deployed using an Application Lifecycle Management (ALM) process. A simplified view of an ALM process is as follows: Requirements Analysis Design and Development Implementation Testing Deployment to Production Maintenance In an on-premise environment, this often equates to the following process map: Requirements Business requirements formed by Business Analysts, Developers and Data Professionals. Analysis Feasibility studies, including physical plant, security, manpower and other resources. Request is placed on the work task list if approved. Design and Development Code written according to organization’s chosen methodology, either on-premise or to multiple development teams on and off premise. Implementation Code checked into main branch. Code forked as needed. Testing Code deployed to on-premise Testing servers. If no server capacity available, more resources procured through standard budgeting and ordering processes. Manual and automated functional, load, security, etc. performed. Deployment to Production Server team involved to select platform and environments with available capacity. If no server capacity available, standard budgeting and procurement process followed. If no server capacity available, systems built, configured and put under standard organizational IT control. Systems configured for proper operating systems, patches, security and virus scans. System maintenance, HA/DR, backups and recovery plans configured and put into place. Maintenance Code changes evaluated and altered according to need. In a distributed computing environment like Windows Azure, the process maps a bit differently: Requirements Business requirements formed by Business Analysts, Developers and Data Professionals. Analysis Feasibility studies, including budget, security, manpower and other resources. Request is placed on the work task list if approved. Design and Development Code written according to organization’s chosen methodology, either on-premise or to multiple development teams on and off premise. Implementation Code checked into main branch. Code forked as needed. Testing Code deployed to Azure. Manual and automated functional, load, security, etc. performed. Deployment to Production Code deployed to Azure. Point in time backup and recovery plans configured and put into place.(HA/DR and automated backups already present in Azure fabric) Maintenance Code changes evaluated and altered according to need. This means that several steps can be removed or expedited. It also means that the business function requesting the application can be held directly responsible for the funding of that request, speeding the process further since the IT budgeting process may not be involved in the Azure scenario. An additional benefit is the “Azure Marketplace”, In effect this becomes an app store for Enterprises to select pre-defined code and data applications to mesh or bolt-in to their current code, possibly saving development time. Resources: Whitepaper download- What is ALM?  http://go.microsoft.com/?linkid=9743693  Whitepaper download - ALM and Business Strategy: http://go.microsoft.com/?linkid=9743690  LiveMeeting Recording on ALM and Windows Azure (registration required, but free): http://www.microsoft.com/uk/msdn/visualstudio/contact-us.aspx?sbj=Developing with Windows Azure (ALM perspective) - 10:00-11:00 - 19th Jan 2011

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  • Faster Trip to Innovation with Simplified Data Integration: Sabre Holdings Case Study

    - by Tanu Sood
    Normal 0 false false false EN-US X-NONE X-NONE /* 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; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Author: Irem Radzik, Director of Product Marketing, Data Integration, Oracle In today’s fast-paced, competitive environment, IT teams are under pressure to deliver technology solutions for many critical business initiatives as fast as possible. When the focus is on speed, it can be easy to continue to use old style, point-to-point custom scripts that grow organically to the point where they are unmanageable and too costly to maintain. As data volumes, data sources, and end users grow, uncoordinated data integration efforts create significant inefficiencies for both IT and business users. In addition to losing IT productivity due to maintaining spaghetti architecture, data integrity becomes a concern as well. Errors caused by inconsistent, data and manual data entry can prove very costly for companies and disrupt business activities. Many industry leaders recognize now that data should be moved in an automated and reliable manner across all platforms to have one version of the truth. By simplifying their data integration architecture and standardizing on a centralized approach, IT teams now accelerate time to market. Especially, using a centralized, shared-service approach brings agility, increases IT productivity, and frees up resources for innovation. One such industry leader that simplified its data integration architecture is Sabre Holdings. Sabre Holdings provides distribution and technology solutions for the travel industry, and is a winner of Oracle Excellence Awards for Fusion Middleware in 2011 in the data integration category. I had the pleasure to host Sabre Holdings on a public webcast and discuss their data integration best practices for data warehousing. In this webcast Sabre’s Amjad Saeed, presented how the company reduced complexity by consolidating systems and standardizing development on Oracle Data Integrator and Oracle GoldenGate for its global data warehouse development team. With Oracle’s complete real-time data integration solution, Sabre also streamlined support and maintenance operations, achieved real-time view in the execution of the integration processes, and can manage the data warehouse and business intelligence solution performance on demand. By reducing complexity and leveraging timely market insights, the company was able to decrease time to market by 40%. You can now listen to the webcast on demand: Sabre Holdings Case Study: Accelerating Innovation using Oracle Data Integration I invite you to hear directly from Sabre how to use advanced data integration capabilities to enable accelerated innovation. To learn more about Oracle’s data integration offering you can download our free resources.

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  • Less than in Groovy case/switch statement

    - by UltraVi01
    I have the following switch statement switch (points) { case 0: name = "new"; break; case 1..14: badgeName = "bronze-coin"; break; case 15..29: badgeName = "silver-coin"; break; default: badgeName = "ruby"; } I'd like the first case (case 0) to include points less than or equal to 0. How can I do this in Groovy?

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  • Title case in Notepad++?

    - by recursive
    Is there a way to convert a block of text to title case in Notepad++? It should turn asdf ASDF aSdF into Asdf Asdf Asdf I see upper case and lower case on the edit menu, but those aren't quite what I'm looking for.

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  • mysql error code 13 on windows xampp caused by lower case table names = 0

    - by user127379
    I can import an sql (from test linux server mysql) file if the lower case setting is removed. But then the table names are lower case and the web site doesn't work. Originally it was working (my.ini with the lower case settings), I then exported to a linux server, it was working there. Now importing back to my windows (xampp setup) fails. After wild goose chase looking at disks and permissions, I found that if I remove the lower_case_table_names=0, the import works! But I need the case sensitive command so that I can deploy on the linux server.

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  • Forcing rsync to convert file names to lower case

    - by SvrGuy
    We are using rsync to transfer some (millions) files from a Windows (NTFS/CYGWIN) server to a Linux (RHEL) server. We would like to force all file and directory names on the linux box to be lower case. Is there a way to make rsync automagically convert all file and directory names to lower case? For example, lets say the source file system had a file named: /foo/BAR.gziP Rsync would create (on the destination system) /foo/bar.gzip Obviously, with NTFS being a case insensitive file system there can not be any conflicts... Failing the availability of an rsync option, is there an enhanced build or some other way to achieve this effect? Perhaps a mount option on CYGWIN? Perhaps a similar mount option on Linux? Its RHEL, in case that matters.

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  • why am i getting error in this switch statement written in c

    - by mekasperasky
    I have a character array b which stores different identifiers in different iterations . I have to compare b with various identifiers of the programming language C and print it into a file . When i do it using the following switch statement it gives me errors b[i]='\0'; switch(b[i]) { case "if":fprintf(fp2,"if ----> IDENTIFIER \n"); case "then":fprintf(fp2,"then ----> IDENTIFIER \n"); case "else":fprintf(fp2,"else ----> IDENTIFIER \n"); case "switch":fprintf(fp2,"switch ----> IDENTIFIER \n"); case 'printf':fprintf(fp2,"prtintf ----> IDENTIFIER \n"); case 'scanf':fprintf(fp2,"else ----> IDENTIFIER \n"); case 'NULL':fprintf(fp2,"NULL ----> IDENTIFIER \n"); case 'int':fprintf(fp2,"INT ----> IDENTIFIER \n"); case 'char':fprintf(fp2,"char ----> IDENTIFIER \n"); case 'float':fprintf(fp2,"float ----> IDENTIFIER \n"); case 'long':fprintf(fp2,"long ----> IDENTIFIER \n"); case 'double':fprintf(fp2,"double ----> IDENTIFIER \n"); case 'char':fprintf(fp2,"char ----> IDENTIFIER \n"); case 'const':fprintf(fp2,"const ----> IDENTIFIER \n"); case 'continue':fprintf(fp2,"continue ----> IDENTIFIER \n"); case 'break':fprintf(fp2,"long ----> IDENTIFIER \n"); case 'for':fprintf(fp2,"long ----> IDENTIFIER \n"); case 'size of':fprintf(fp2,"size of ----> IDENTIFIER \n"); case 'register':fprintf(fp2,"register ----> IDENTIFIER \n"); case 'short':fprintf(fp2,"short ----> IDENTIFIER \n"); case 'auto':fprintf(fp2,"auto ----> IDENTIFIER \n"); case 'while':fprintf(fp2,"while ----> IDENTIFIER \n"); case 'do':fprintf(fp2,"do ----> IDENTIFIER \n"); case 'case':fprintf(fp2,"case ----> IDENTIFIER \n"); } the error being lex.c:94:13: warning: character constant too long for its type lex.c:95:13: warning: character constant too long for its type lex.c:96:13: warning: multi-character character constant lex.c:97:13: warning: multi-character character constant lex.c:98:13: warning: multi-character character constant lex.c:99:13: warning: character constant too long for its type lex.c:100:13: warning: multi-character character constant lex.c:101:13: warning: character constant too long for its type lex.c:102:13: warning: multi-character character constant lex.c:103:13: warning: character constant too long for its type lex.c:104:13: warning: character constant too long for its type lex.c:105:13: warning: character constant too long for its type lex.c:106:13: warning: multi-character character constant lex.c:107:13: warning: character constant too long for its type lex.c:108:13: warning: character constant too long for its type lex.c:109:13: warning: character constant too long for its type lex.c:110:12: warning: multi-character character constant lex.c:111:13: warning: character constant too long for its type lex.c:112:13: warning: multi-character character constant lex.c:113:13: warning: multi-character character constant lex.c: In function ‘int main()’: lex.c:90: error: case label does not reduce to an integer constant lex.c:91: error: case label does not reduce to an integer constant lex.c:92: error: case label does not reduce to an integer constant lex.c:93: error: case label does not reduce to an integer constant lex.c:94: warning: overflow in implicit constant conversion lex.c:95: warning: overflow in implicit constant conversion lex.c:95: error: duplicate case value lex.c:94: error: previously used here lex.c:96: warning: overflow in implicit constant conversion lex.c:97: warning: overflow in implicit constant conversion lex.c:98: warning: overflow in implicit constant conversion lex.c:99: warning: overflow in implicit constant conversion lex.c:99: error: duplicate case value lex.c:97: error: previously used here lex.c:100: warning: overflow in implicit constant conversion lex.c:101: warning: overflow in implicit constant conversion lex.c:102: warning: overflow in implicit constant conversion lex.c:102: error: duplicate case value lex.c:98: error: previously used here lex.c:103: warning: overflow in implicit constant conversion lex.c:103: error: duplicate case value lex.c:97: error: previously used here lex.c:104: warning: overflow in implicit constant conversion lex.c:104: error: duplicate case value lex.c:101: error: previously used here lex.c:105: warning: overflow in implicit constant conversion lex.c:106: warning: overflow in implicit constant conversion lex.c:106: error: duplicate case value lex.c:98: error: previously used here lex.c:107: warning: overflow in implicit constant conversion lex.c:107: error: duplicate case value lex.c:94: error: previously used here lex.c:108: warning: overflow in implicit constant conversion lex.c:108: error: duplicate case value lex.c:98: error: previously used here lex.c:109: warning: overflow in implicit constant conversion lex.c:109: error: duplicate case value lex.c:97: error: previously used here lex.c:110: warning: overflow in implicit constant conversion lex.c:111: warning: overflow in implicit constant conversion lex.c:111: error: duplicate case value lex.c:101: error: previously used here lex.c:112: warning: overflow in implicit constant conversion lex.c:112: error: duplicate case value lex.c:110: error: previously used here lex.c:113: warning: overflow in implicit constant conversion lex.c:113: error: duplicate case value lex.c:101: error: previously used here

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