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  • Cross OS data recover question, USB drive involved.

    - by Moshe
    Here's the story: A MacBook had OS X 10.4 and Windows XP dual booting using rEFIt. Then the Windows partition gets corrupted and it won't boot. Presumably a virus. There were sensitive files there and those were successfully copied to a USB drive and then 10.5 was installed on the hard drive, formatting the drive in the process. The USB drive's contacts cracked and he data is lost from there, unless it can be resoldered. The issues is that there is too much solder there already. So, how can the data in question be recovered? The files were Microsoft Money (not the latest version) files for the Windows version of the program. Right now, only OS X is installed on the MacBook. Is there Mac based program that can recover the Windows data or am I better off trying to resolder the drive? Does anyone know how to best resolder a USB drive more than once, where the first solder is ther, but detached from the silicon? Also, what format (extension) are Microsoft Money files? In need of help!

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  • Recover NTFS data from a ZFS pool that was exposed as an iSCSI target

    - by David
    This was me being stupid and the data is by no means critical and is now a learning experience first, time saver second. I set up a 100GB iSCSI target via the bare bone instructions in napp-it. It's a volume LU. I then had my Windows 7 machine connect to the iSCSI target, formatted it to NTFS, and tested the performance of it with some large iso file transfers. I then unmapped the drive, reconnected to the target, and was forced to format to NTFS again. It was then I realized the files I had transferred only existed on the iSCSI target. I threw a little fit and then went about my business. When I was cleaning up my experiment I noticed in this screen: http://imgur.com/1xlcu.jpg That is my experimental target tank/iSCSI and it still has a lot of data in it. Assuming my isos are still in this pool how would I go about recovering them? While writing this I used GetDataBackup for NTFS from www.runtime.org. And while it found two previous NTFS partitions there was no data.

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  • Share Firefox/Thnderbird data between W7 and Linux Mint 12 in dual boot computer

    - by Albert
    I've just set up my laptop (where I had running only W7) with a dual boot to run Linux Mint 12 as well. I have a "Data" partition (apart from the required partitions for W7 and Linux) where I store pretty much everything that isn't software installations (music, videos, project files, etc). I seem to be able to access that NTFS partition totally fine from Mint (like I've always done with W7), which is cool because I can access all that stuff regardless of which OS I'm using. I would like to know if it's possible (and how) to go one step further and share programs data between the two OS. One example would be my Firefox and Thunderbird data. For example, in Firefox share my bookmarks (and if I could share history, autocomplete and all that stuff, that would be awesome). In thunderbird, be able to share my mail and configuration, seeing the same inbox, folders, message rules, etc... So if I receive/send an email from W7 and later switch to Mint, I can see that email as it had been received/sent from Mint, and vice versa. Is this even possible? Or am I asking for too much convenience? If it's possible, any clues on how to set it all up?

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  • Recover data from Dynamic Disk (MBR) bigger than 2TB

    - by Helder
    Here is the situation: Promise Array FastTrak TX4310 with 3 disks (750 GB each) in RAID5. This comes to around 1500 GB of data. Last week I had the idea of expanding the RAID with an additional 750 GB disk. This would bring the volume to around 2250 GB. I plugged the disk and used the Webpam software to do the RAID expansion. However, I didn't count with the MBR 2TB limit, as I didn't remembered that the disk was using MBR instead of GPT and I didn't check it prior to the expansion. After a couple of days of expansion, today when I got home, the disk in Windows disk manager showed the message "Invalid disk" and when I try to activate it, it says "The operation is not allowed on the Invalid pack". From what I figured, the logical volume on the RAID expanded, and passed that info to the Windows layer and I ended up with an "larger than 2TB" MBR disk. I'm hopping that somehow I can still recover some data from this, and I was wondering if I can "rewrite" the MBR structure back to the 1500 GB partition size, so I can access the partition in Windows. Right now I'm doing an "Analyse" with TestDisk, as I hope the program will pickup the old 1500 structure and allow me to somehow revert back to it. I think that even though the Logical Drive in the RAID is bigger than the 2TB, I can somehow correct the MBR to show the 1500 GB partition again. I had a similar problem once, and I was able to recover the data using a similar method. What do you guys think? Is it a dead end? Am I totally screwed because there is the extra RAID layer that I'm not counting? Or is there other way to move with this? Thanks all!

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  • Subset a data.frame by list and apply function on each part, by rows

    - by aL3xa
    This may seem as a typical plyr problem, but I have something different in mind. Here's the function that I want to optimize (skip the for loop). # dummy data set.seed(1985) lst <- list(a=1:10, b=11:15, c=16:20) m <- matrix(round(runif(200, 1, 7)), 10) m <- as.data.frame(m) dfsub <- function(dt, lst, fun) { # check whether dt is `data.frame` stopifnot (is.data.frame(dt)) # check if vectors in lst are "whole" / integer # vector elements should be column indexes is.wholenumber <- function(x, tol = .Machine$double.eps^0.5) abs(x - round(x)) < tol # fall if any non-integers in list idx <- rapply(lst, is.wholenumber) stopifnot(idx) # check for list length stopifnot(ncol(dt) == length(idx)) # subset the data subs <- list() for (i in 1:length(lst)) { # apply function on each part, by row subs[[i]] <- apply(dt[ , lst[[i]]], 1, fun) } # preserve names names(subs) <- names(lst) # convert to data.frame subs <- as.data.frame(subs) # guess what =) return(subs) } And now a short demonstration... actually, I'm about to explain what I primarily intended to do. I wanted to subset a data.frame by vectors gathered in list object. Since this is a part of code from a function that accompanies data manipulation in psychological research, you can consider m as a results from personality questionnaire (10 subjects, 20 vars). Vectors in list hold column indexes that define questionnaire subscales (e.g. personality traits). Each subscale is defined by several items (columns in data.frame). If we presuppose that the score on each subscale is nothing more than sum (or some other function) of row values (results on that part of questionnaire for each subject), you could run: > dfsub(m, lst, sum) a b c 1 46 20 24 2 41 24 21 3 41 13 12 4 37 14 18 5 57 18 25 6 27 18 18 7 28 17 20 8 31 18 23 9 38 14 15 10 41 14 22 I took a glance at this function and I must admit that this little loop isn't spoiling the code at all... BUT, if there's an easier/efficient way of doing this, please, let me know!

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  • Core Data migration of to-one relationship to to-many relationship

    - by westsider
    I have a deployed app that samples measurements from sensors (e.g., Temp °C, Pressure kPa). The user can create Experiments and collect samples. Each sample is stored as a Run, such that there is a one-to-many relationship from Experiment to Run. In the interest of performance, Run has a to-one relationship with Data entity (which is where the actual raw data is stored); this allows some Run attributes to be loaded without necessarily loading lots of data. Most of our sensors have multiple measurements, so it would be nice to store all the data that is actually being sampled. But this means that the Run <--- Data relationship needs to become Run <-- Data (to use Xcode's convention). I am faced with trying to migrate data from old Run to-one Data model to new Run to-many Data model. Can this be done using Mapping Models? If so, does anyone have any pointers to examples? If not, does anyone have any pointers to examples of how to do that? Thanks for any pointers or advice.

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  • Reduce ERP Consolidation Risks with Oracle Master Data Management

    - by Dain C. Hansen
    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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Reducing the Risk of ERP Consolidation starts first and foremost with your Data.This is nothing new; companies with multiple misaligned ERP systems are often putting inordinate risk on their business. It can translate to too much inventory, long lead times, and shipping issues from poorly organized and specified goods. And don’t forget the finance side! When goods are shipped and promises are kept/not kept there’s the issue of accounts. No single chart of counts translates to no accountability. So – I’ve decided. I need to consolidate! Well, you can’t consolidate ERP applications [for that matter any of your applications] without first considering your data. This means looking at how your data is being integrated by these ERP systems, how it is being synchronized, what information is being shared, or not being shared. Most importantly, making sure that the data is mastered. What is the best way to do this? In the recent webcast: Reduce ERP consolidation Risks with Oracle Master Data Management we outlined 3 key guidelines: #1: Consolidate your Product Data#2: Consolidate your Customer, Supplier (Party Data) #3: Consolidate your Financial Data Together these help customers achieve reduced risk, better customer intimacy, reducing inventory levels, elimination of product variations, and finally a single master chart of accounts. In the case of Oracle's customer Zebra Technologies, they were able to consolidate over 140 applications by mastering their data. Ultimately this gave them 60% cost savings for the year on IT spend. Oracle’s Solution for ERP Consolidation: Master Data Management Oracle's enterprise master data management (MDM) can play a big role in ERP consolidation. It includes a set of products that consolidates and maintains complete, accurate, and authoritative master data across the enterprise and distributes this master information to all operational and analytical applications as a shared service. It’s optimized to work with any application source (not just Oracle’s) and can integrate using technology from Oracle Fusion Middleware (i.e. GoldenGate for data synchronization and real-time replication or ODI with its E-LT optimized bulk data and transformation capability). In addition especially for ERP consolidation use cases it’s important to leverage the AIA and SOA capabilities as part of Fusion Middleware to connect these multiple applications together and relay the data into the correct hub. Oracle’s MDM strategy is a unique offering in the industry, one that has common elements across the top and bottom in Middleware, BI/DW, Engineered systems combined with Enterprise Data Quality to enable comprehensive Data Governance at all levels. In addition, Oracle MDM provides the best-in-class capabilities to master all variations of data, including customer, supplier, product, financial data. But ultimately at the center of Oracle MDM is your data, making it more trusted, making it secure and accessible as part of a role-based approach, and getting it to make sense to you in any situation, whether it’s a specific ERP process like we talked about or something that is custom to your organization. To learn more about these techniques in ERP consolidation watch our webcast or goto our Oracle MDM website at www.oracle.com/goto/mdm

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  • documentFragment.cloneNode(true) doesn't clone jQuery data

    - by taber
    I have a documentFragment with several child nodes containing some .data() added like so: myDocumentFragment = document.createDocumentFragment(); for(...) { myDocumentFragment.appendChild( $('').addClass('button') .attr('href', 'javascript:void(0)') .html('click me') .data('rowData', { 'id': 103, 'test': 'testy' }) .get(0) ); } When I try to append the documentFragment to a div on the page: $('#div').append( myDocumentFragment ); I can access the data just fine: alert( $('#div a:first').data('rowData').id ); // alerts '103' But if I clone the node with cloneNode(true), I can't access the node's data. :( $('#div').append( myDocumentFragment.cloneNode(true) ); ... alert( $('#div a:first').data('rowData').id ); // alerts undefined Has anyone else done this or know of a workaround? I guess I could store the row's data in jQuery.data('#some_random_parent_div', 'rows', [array of ids]), but that kinda defeats the purpose of making the data immediately/easily available to each row. I've also read that jQuery uses documentFragments, but I'm not sure exactly how, or in what methods. Does anyone have any more details there? Thanks!

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  • "Pattern matching" of algebraic type data constructors

    - by jetxee
    Let's consider a data type with many constructors: data T = Alpha Int | Beta Int | Gamma Int Int | Delta Int I want to write a function to check if two values are produced with the same constructor: sameK (Alpha _) (Alpha _) = True sameK (Beta _) (Beta _) = True sameK (Gamma _ _) (Gamma _ _) = True sameK _ _ = False Maintaining sameK is not much fun, it is potentially buggy. For example, when new constructors are added to T, it's easy to forget to update sameK. I omitted one line to give an example: -- it’s easy to forget: -- sameK (Delta _) (Delta _) = True The question is how to avoid boilerplate in sameK? Or how to make sure it checks for all T constructors? The workaround I found is to use separate data types for each of the constructors, deriving Data.Typeable, and declaring a common type class, but I don't like this solution, because it is much less readable and otherwise just a simple algebraic type works for me: {-# LANGUAGE DeriveDataTypeable #-} import Data.Typeable class Tlike t where value :: t -> t value = id data Alpha = Alpha Int deriving Typeable data Beta = Beta Int deriving Typeable data Gamma = Gamma Int Int deriving Typeable data Delta = Delta Int deriving Typeable instance Tlike Alpha instance Tlike Beta instance Tlike Gamma instance Tlike Delta sameK :: (Tlike t, Typeable t, Tlike t', Typeable t') => t -> t' -> Bool sameK a b = typeOf a == typeOf b

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  • Passing data between ViewControllers versus doing local Fetch in each VC

    - by Tofrizer
    Hi All, I'm developing an iPhone app using Core Data and I'm looking for some general advice and recommendations on whether its acceptable to pass data between ViewControllers versus doing a local fetch in each ViewController as you navigate to it. Ordinarily I would say it all depends on various factors (e.g. performance etc) but the passing data approach is so prevalent in my app and I'm spooked by all the stories about Apple rejecting apps because of not conforming to their standard guidelines. So let me put another way -- is it non-standard to pass data between VC's? The reason I pass data so much is because each ViewController is just another view on to data present in my object model / graph. Once I have a handle on my first object in the first view controller (which I of course do have to fetch), I can use the existing object composition / relationships to drill down into the next level of detail into data and so I just pass these objects to the next VC. Separately, one possible downside with this passing-data-to-each-VC approach is I don't benefit from (what I perceive to be) the optimisation/benefits that NSFetchedResultsController provides in terms of efficient memory usage and section handling. My app is read-only but I do have one table with 5000 rows and I'm curious if I am missing out on NSFetchedResultsController benefits. Any thoughts on this as well? Can I somehow still benefit from NSFetchedResultsController goodness without having to do a full fetch (as I would have already passed in the data from my previous VC)? Thanks a lot.

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  • How would you mask data returned in a Dynamic Data for Entities website?

    - by David Stratton
    I'm doing this in Visual Studio 2008, not 2010, in case there is a relevant difference between the two versions of the Dynamic Data websites. How would I mask data in the automatically generated tables in a Dynamic Data for Entities website? The scenario is we have one table where we want to allow users to ENTER sensitive data, but not VIEW sensitive data, so... (In the list below, I'm using "template" to mean "The web page generated automatically based on the schema and action. I'm sure that's the wrong terminology, but the meaning should be clear.) The "Insert" template should have the field's textbox available for the user to type a value in. The "Edit" template should have the field's textbox blanked out (empty string) regardless of what was in the field in the database in the first place, but the user should be able to type in new data and have it save The "View" template should either have the data for this field masked, or non-visible. The auto-generated table showing the list of records should also have this field masked or non-visible. I can do this easily with standard Web Forms, but I'm having a hard time figuring this out in the Dynamic Data site I'm working on. Masking data is such a common task, I have to believe Microsoft thought of this and provided a way to do it...

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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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  • java: libraries for immutable functional-style data structures

    - by Jason S
    This is very similar to another question (Functional Data Structures in Java) but the answers there are not particularly useful. I need to use immutable versions of the standard Java collections (e.g. HashMap / TreeMap / ArrayList / LinkedList / HashSet / TreeSet). By "immutable" I mean immutable in the functional sense (e.g. purely functional data structures), where updating operations on the data structure do not change the original data, but instead return a new instance of the same kind of data structure. Also typically new and old instances of the data structure will share immutable data to be efficient in time and space. From what I can tell my options include: Functional Java Scala Clojure but I'm not sure whether any of these are particularly appealing to me. I have a few requirements/desirements: the collections in question should be usable directly in Java (with the appropriate libraries in the classpath). FJ would work for me; I'm not sure if I can use Scala's or Clojure's data structures in Java w/o having to use the compilers/interpreters from those languages and w/o having to write Scala or Clojure code. Core operations on lists/maps/sets should be possible w/o having to create function objects with confusing syntaxes (FJ looks slightly iffy) They should be efficient in time and space. I'm looking for a library which ideally has done some performance testing. FJ's TreeMap is based on a red-black tree, not sure how that rates. Documentation / tutorials should be good enough so someone can get started quickly using the data structures. FJ fails on that front. Any suggestions?

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  • More details on America's Cup use of Oracle Data Mining

    - by charlie.berger
    BMW Oracle Racing's America's Cup: A Victory for Database Technology BMW Oracle Racing's victory in the 33rd America's Cup yacht race in February showcased the crew's extraordinary sailing expertise. But to hear them talk, the real stars weren't actually human. "The story of this race is in the technology," says Ian Burns, design coordinator for BMW Oracle Racing. Gathering and Mining Sailing DataFrom the drag-resistant hull to its 23-story wing sail, the BMW Oracle USA trimaran is a technological marvel. But to learn to sail it well, the crew needed to review enormous amounts of reliable data every time they took the boat for a test run. Burns and his team collected performance data from 250 sensors throughout the trimaran at the rate of 10 times per second. An hour of sailing alone generates 90 million data points.BMW Oracle Racing turned to Oracle Data Mining in Oracle Database 11g to extract maximum value from the data. Burns and his team reviewed and shared raw data with crew members daily using a Web application built in Oracle Application Express (Oracle APEX). "Someone would say, 'Wouldn't it be great if we could look at some new combination of numbers?' We could quickly build an Oracle Application Express application and share the information during the same meeting," says Burns. Analyzing Wind and Other Environmental ConditionsBurns then streamed the data to the Oracle Austin Data Center, where a dedicated team tackled deeper analysis. Because the data was collected in an Oracle Database, the Data Center team could dive straight into the analytics problems without having to do any extract, transform, and load processes or data conversion. And the many advanced data mining algorithms in Oracle Data Mining allowed the analytics team to build vital performance analytics. For example, the technology team could remove masking elements such as environmental conditions to give accurate data on the best mast rotation for certain wind conditions. Without the data mining, Burns says the boat wouldn't have run as fast. "The design of the boat was important, but once you've got it designed, the whole race is down to how the guys can use it," he says. "With Oracle database technology we could compare the incremental improvements in our performance from the first day of sailing to the very last day. With data mining we could check data against the things we saw, and we could find things that weren't otherwise easily observable and findable."

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  • MVC data binding

    - by user441521
    I'm using MVC but I've read that MVVM is sort of about data binding and having pure markup in your views that data bind back to the backend via the data-* attributes. I've looked at knockout but it looks pretty low level and I feel like I can make a library that does this and is much easier to use where basically you only need to call 1 javascript function that will data bind your entire page because of the data-* attributes you assign to html elements. The benefits of this (that I see) is that your view is 100% decoupled from your back-end so that a given view never has to be changed if your back-end changes (ie for asp.net people no more razor in your view that makes your view specific to MS). My question would be, I know there is knockout out there but are there any others that provide this data binding functionality for MVC type applications? I don't want to recreate something that may already exist but I want to make something "better" and easier to use than knockout. To give an example of what I mean here is all the code one would need to get data binding in my library. This isn't final but just showing the idea that all you have to do is call 1 javascript function and set some data-* attribute values and everything ties together. Is this worth seeing through? <script> $(function () { // this is all you have to call to make databinding for POST or GET to work DataBind(); }); </script> <form id="addCustomer" data-bind="Customer" data-controller="Home" data-action="CreateCustomer"> Name: <input type="text" data-bind="Name" data-bind-type="text" /> Birthday: <input type="text" data-bind="Birthday" data-bind-type="text" /> Address: <input type="text" data-bind="Address" data-bind-type="text" /> <input type="submit" value="Save" id="btnSave" /> </form> ================================================= // controller action [HttpPost] public string CreateCustomer(Customer customer) { if(customer.Name == "Rick") return "success"; return "failure"; } // model public class Customer { public string Name { get; set; } public DateTime Birthday { get; set; } public string Address { get; set; } }

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  • Three Master Data Management Deployment Tips

    - by david.butler(at)oracle.com
    MDM is all about data quality and data governance. We now know that improved data quality raises all operational and analytical boats. But it's not just about deploying data quality tools. It's about deploying data quality tools within and across the IT landscape - from a thousand points of data entry to a single version of the truth. Here are three tips to deploying MDM across your applications and enterprise.   #1: Identify a tactical, high-value business problem where MDM can materially help. §  Support a customer acquisition and retention program with a 'customer' master data solution. §  Accelerate new products and services to market with a 'product' master data solution. §  Reduce supplier exceptions or support spend control initiatives with a 'supplier' master data solution. §  Support new store (branch, campus, restaurant, hospital, office, well head) location analysis with a 'site' master data solution. §  Fix long standing Chart of Accounts and Cost Center problems with a 'financial' master data solution. §  Support M&A activity, application upgrades, an SOA initiative, a cloud computing program, or a new business intelligence deployment by implementing a mix of master data solutions.   #2: Incrementally expand to a full information architecture. Quite often, the measurable return on interest from tactical MDM initiatives will fund future deployments. Over time, the MDM solution expands into its full architecture to cover the entire IT landscape. Operations and analytics are united, IT flexibility is restored, and sustainable competitive advantage is achieved.   #3: Bring business into every MDM deployment. To be successful, MDM must work hand in hand with data governance. In fact, Oracle MDM incorporates data governance tools for business users. IT can insure data quality, but only after the business side has defined what quality means. The business establishes the rules for governing the master data, and then IT enforces the rules via the MDM applications. Without this business/IT collaboration, MDM initiatives seldom achieve their full potential.   It is not very often that a technology comes along that can measurably assist organizations across a wide variety of top IT initiatives. Reducing costs, increasing flexibility, getting more out of existing assets, and aligning business and IT are not easy tasks for any CIO. But with MDM, success is achievable. IT can regain its place as a center for innovation.   For more information on this topic, take a look at my article Master Data Management Deployment Tips in the Opinion Section of Oracle's Profit Online magazine.

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  • ExtJS: Ext.data.DataReader: #realize was called with invalid remote-data

    - by TomH
    I'm receiving a "Ext.data.DataReader: #realize was called with invalid remote-data" error when I create a new record via a POST request. Although similar to the discussion at this SO conversation, my situation is slightly different: My server returns the pk of the new record and additional information that is to be associated with the new record in the grid. My server returns the following: {'success':true,'message':'Created Quote','data': [{'id':'610'}, {'quoteNumber':'1'}]} Where id is the PK for the record in the mysql database. quoteNumber is a db generated value that needs to be added to the created record. Other relevant bits: var quoteRecord = Ext.data.Record.create([{name:'id', type:'int'},{name:'quoteNumber', type:'int'},{name:'slideID'}, {name:'speaker'},{name:'quote'}, {name:'metadataID'}, {name:'priorityID'}]); var quoteWriter = new Ext.data.JsonWriter({ writeAllFields:false, encode:true }); var quoteReader = new Ext.data.JsonReader({id:'id', root:'data',totalProperty: 'totalitems', successProperty: 'success',messageProperty: 'message',idProperty:'id'}, quoteRecord); I'm stumped. Anyone?? thanks tom

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  • Using html5 localstorage to retrieve data from server, to allow editing of and appending to data sou

    - by Adam
    So, I'm creating a standard user-data collection form that will be used by standard web browsers, as well as the iPhone and iPad. The app will allow users to create new records, as well as edit and delete existing records. I've gotten the gist of using html5's 'localstorage' to create a client-side data source and am looking for direction for getting existing data from a server into a client-side data source, and then being able to edit or delete that data, or to append a new record to the existing data. Finally, being able to save the updated data back to the server. It sounds like a lot, I know. But I've been pouring through html5 tuts and can't seem to find exactly what I'm looking for.

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  • WCF Data Services implementation strategies.

    - by Nix
    Microsoft has done a savvy job of not outlining the actual place for data services in the wonderful world of SOA/Web dev. So my question is simple, are WCF Data Services designed to be used via clients? Or has anyone ever heard of someone using them on the server side? Simple scenario a general layered architecture using BO business objects (parenthesis indicate what is being passed between layers) (XML) WCF Service - (BO)Business Logic - (BO) Dao - Entity Framework or using data services it would be where DS BO are modeled business entities to be used in data service. (XML) WCF Service -(BO) Business Logic - (BO) WCF Data Service - (DS BO)Server I can't see a use for the later, unless there are going to be a lot of cases people would be accessing your data via your Data Service Layer vs the Service layer? Thoughts anyone? I have not seen any mention of using DS from within a Service Layer....

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  • How to use HTML-5 data-* attributes in ASP.NET MVC

    - by sleepy
    I am trying to use HTML5 data- attributes in my ASP.NET MVC 1 project. (I am a C# and ASP.NET MVC newbie.) <%= Html.ActionLink("« Previous", "Search", new { keyword = Model.Keyword, page = Model.currPage - 1}, new { @class = "prev", data-details = "Some Details" })%> The "data-details" in the above htmlAttributes give the following error: CS0746: Invalid anonymous type member declarator. Anonymous type members must be declared with a member assignment, simple name or member access. It works when I use data_details, but I guess it need to be starting with "data-" as per the spec. My questions: Is there any way to get this working and use HTML5 data attributes with Html.ActionLink or similar Html helpers ? Is there any other alternative mechanism to attach custom data to an element? This data is to be processed later by JS.

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  • getting a blank data report vb6

    - by arvind
    Hi, I am new to vb6. I am working to create the invoice generation application. I am using data report to show the generated invoice. The step by step working of process is Entering the data in to Invoice and ItemsInvoice tables. Then getting the maxId using (Adodc) from the data base to show the last generated Invoice. Then passing the max Id as parameter to the data report which is showing the invoice according to the invoice id. It is working fine when I first time generate invoice. Now for 2nd invoice withou closing application I am getting a blank data report. For data report I am using dataenvironment. I am guessing the reason of blank data report is blank because there was no record for that Id. But actually the record is inserting in the database. Please help me.

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  • java: how to compress data into a String and uncompress data from the String

    - by Guillaume
    I want to put some compressed data into a remote repository. To put data on this repository I can only use a method that take the name of the resource and its content as a String. (like data.txt + "hello world"). The repository is moking a filesystem but is not, so I can not use File directly. I want to be able to do the following: client send to server a file 'data.txt' server compress 'data.txt' into data.zip server send to repository content of data.zip repository store data.zip client download from repository data.zip and his able to open it with its favorite zip tool I have tried a lots of compressing example found on the web but each time a send the data to the repository, my resulting zip file is corrupted. Here is a sample class, using the zip*stream and that emulate the repository showcasing my problem. The created zip file is working, but after its 'serialization' it's get corrupted. (the sample class use jakarta commons.io ) Many thanks for your help. package zip; import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import java.io.IOException; import java.io.InputStream; import java.util.zip.ZipEntry; import java.util.zip.ZipInputStream; import java.util.zip.ZipOutputStream; import org.apache.commons.io.FileUtils; /** * Date: May 19, 2010 - 6:13:07 PM * * @author Guillaume AME. */ public class ZipMe { public static void addOrUpdate(File zipFile, File ... files) throws IOException { File tempFile = File.createTempFile(zipFile.getName(), null); // delete it, otherwise you cannot rename your existing zip to it. tempFile.delete(); boolean renameOk = zipFile.renameTo(tempFile); if (!renameOk) { throw new RuntimeException("could not rename the file " + zipFile.getAbsolutePath() + " to " + tempFile.getAbsolutePath()); } byte[] buf = new byte[1024]; ZipInputStream zin = new ZipInputStream(new FileInputStream(tempFile)); ZipOutputStream out = new ZipOutputStream(new FileOutputStream(zipFile)); ZipEntry entry = zin.getNextEntry(); while (entry != null) { String name = entry.getName(); boolean notInFiles = true; for (File f : files) { if (f.getName().equals(name)) { notInFiles = false; break; } } if (notInFiles) { // Add ZIP entry to output stream. out.putNextEntry(new ZipEntry(name)); // Transfer bytes from the ZIP file to the output file int len; while ((len = zin.read(buf)) > 0) { out.write(buf, 0, len); } } entry = zin.getNextEntry(); } // Close the streams zin.close(); // Compress the files if (files != null) { for (File file : files) { InputStream in = new FileInputStream(file); // Add ZIP entry to output stream. out.putNextEntry(new ZipEntry(file.getName())); // Transfer bytes from the file to the ZIP file int len; while ((len = in.read(buf)) > 0) { out.write(buf, 0, len); } // Complete the entry out.closeEntry(); in.close(); } // Complete the ZIP file } tempFile.delete(); out.close(); } public static void main(String[] args) throws IOException { final String zipArchivePath = "c:/temp/archive.zip"; final String tempFilePath = "c:/temp/data.txt"; final String resultZipFile = "c:/temp/resultingArchive.zip"; File zipArchive = new File(zipArchivePath); FileUtils.touch(zipArchive); File tempFile = new File(tempFilePath); FileUtils.writeStringToFile(tempFile, "hello world"); addOrUpdate(zipArchive, tempFile); //archive.zip exists and contains a compressed data.txt that can be read using winrar //now simulate writing of the zip into a in memory cache String archiveText = FileUtils.readFileToString(zipArchive); FileUtils.writeStringToFile(new File(resultZipFile), archiveText); //resultingArchive.zip exists, contains a compressed data.txt, but it can not //be read using winrar: CRC failed in data.txt. The file is corrupt } }

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  • jquery - access json data from php

    - by Cinaird
    I have a problem accessing JSON data. I'm new to JSON an jquery so there is probably a easy solution to it and i would be glad to find out. My jQuery: $.post( "currentPage.php", { 'currentPage': 1 }, function(data){ $("body").append(data); } ); currentPage.php: $returnArray['left'] = 'test_left'; $returnArray['right'] = 'test_right'; $returnArray['numLeft'][] = 1; $returnArray['numRight'][] = 2; $returnArray['numRight'][] = 3; print json_encode($returnArray); i tried to access the data like this: data.left data['left'] but it returns blank, how is the best way to access the data?

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  • Java: versioned data structures?

    - by Jason S
    I have a data structure that is pretty simple (basically a structure containing some arrays and single values), but I need to record the history of the data structure so that I can efficiently get the contents of the data structure at any point in time. Is there a relatively straightforward way to do this? The best way I can think of would be to encapsulate the whole data structure with something that handles all the mutating operations by storing data in functional data structures, and then for each mutation operation caching a copy of the data structure in a Map indexed by time-ordering (e.g. a TreeMap with real time as keys, or a HashMap with a counter of mutation operations combined with one or more indexes stored in TreeMaps mapping real time / tick count / etc. to mutation operations) any suggestions?

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  • JSON to Persistent Data Store (CoreData, etc.)

    - by Bryan Veloso
    All of the data on my application is pulled through an API via JSON. The nature of a good percentage of this data is that it doesn't change very often. So to go and make JSON requests to get a list of data that doesn't change much didn't seem all that appealing. I'm looking for the most sensible option to have this JSON saved onto the iPhone in some sort of persistent data store. Obviously one plus of persisting the data would be to provide it when the phone can't access the API. I've looked at a few examples of having JSON and CoreData interact, for example, but it seems that they only describe transforming NSManagedObjects into JSON. If I can transform JSON into CoreData, my only problem would be being able to change that data when the data from the API does change. (Or, maybe this is all just silly.)

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