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  • Why is Core Data not persisting these changes to disk?

    - by scott
    I added a new entity to my model and it loads fine but no changes made in memory get persisted to disk. My values set on the car object work fine in memory but aren't getting persisted to disk on hitting the home button (in simulator). I am using almost exactly the same code on another entity in my application and its values persist to disk fine (core data - sqlite3); Does anyone have a clue what I'm overlooking here? Car is the managed object, cars in an NSMutableArray of car objects and Car is the entity and Visible is the attribute on the entity which I am trying to set. Thanks for you assistance. Scott - (void)viewDidLoad { myAppDelegate* appDelegate = (myAppDelegate*)[[UIApplication sharedApplication] delegate]; NSManagedObjectContext* managedObjectContex = appDelegate.managedObjectContext; NSFetchRequest* request = [[NSFetchRequest alloc] init]; NSEntityDescription* entity = [NSEntityDescription entityForName:@"Car" inManagedObjectContext:managedObjectContex]; [request setEntity:entity]; NSSortDescriptor* sortDescriptor = [[NSSortDescriptor alloc] initWithKey:@"Name" ascending:YES]; NSArray* sortDescriptors = [[NSArray alloc] initWithObjects:sortDescriptor, nil]; [request setSortDescriptors:sortDescriptors]; [sortDescriptors release]; [sortDescriptor release]; NSError* error = nil; cars = [[managedObjectContex executeFetchRequest:request error:&error] mutableCopy]; if (cars == nil) { NSLog(@"Can't load the Cars data! Error: %@, %@", error, [error userInfo]); } [request release]; } - (void)tableView:(UITableView *)tableView didSelectRowAtIndexPath:(NSIndexPath*)indexPath { Car* car = [cars objectAtIndex:indexPath.row]; if (car.Visible == [NSNumber numberWithBool:YES]) { car.Visible = [NSNumber numberWithBool:NO]; [tableView cellForRowAtIndexPath:indexPath].accessoryType = UITableViewCellAccessoryNone; } else { car.Visible = [NSNumber numberWithBool:YES]; [tableView cellForRowAtIndexPath:indexPath].accessoryType = UITableViewCellAccessoryCheckmark; } }

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  • How do I use Core Data with the Cocoa Text Input system?

    - by the Joel
    Hobbyist Cocoa programmer here. Have been looking around all the usual places, but this seems relatively under-explained: I am writing something a little out of the ordinary. It is much simpler than, but similar to, a desktop publishing app. I want editable text boxes on a canvas, arbitrarily placed. This is document-based and I’d really like to use Core Data. Now, The cocoa text-handling system seems to deal with a four-class structure: NSTextStorage, NSLayoutManager, NSTextContainer and finally NSTextView. I have looked into these and know how to use them, sort of. Have been making some prototypes and it works for simple apps. The problem arrives when I get into persistency. I don't know how to, by way of Cocoa Bindings or something else, store the contents of NSTextStorage (= the actual text) in my managed object context. I have considered overriding methods pairs like -words, -setWords: in these objects. This would let me link the words to a String, which I know how to store in Core Data. However, I’d have to override any method that affects the text - and that seems a little much. Thankful for any insights.

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  • Update graph in real time from server

    - by user1869421
    I'm trying to update a graph with received data, so that the height of the bars increase as more data is received from the server via a websocket. But my code doesn't render a graph in the browser and plot the data points. I cannot see anything wrong with the code. I really need some help here please. ws = new WebSocket("ws://localhost:8888/dh"); var useData = [] //var chart; var chart = d3.select("body") .append("svg:svg") .attr("class", "chart") .attr("width", 420) .attr("height", 200); ws.onmessage = function(evt) { var distances = JSON.parse(evt.data); data = distances.miles; console.log(data); if(useData.length <= 10){ useData.push(data) } else { var draw = function(data){ // Set the width relative to max data value var x = d3.scale.linear() .domain([0, d3.max(useData)]) .range([0, 420]); var y = d3.scale.ordinal() .domain(useData) .rangeBands([0, 120]); var rect = chart.selectAll("rect") .data(useData) // enter rect rect.enter().append("svg:rect") .attr("y", y) .attr("width", x) .attr("height", y.rangeBand()); // update rect rect .attr("y", y) .attr("width", x) .attr("height", y.rangeBand()); var text = chart.selectAll("text") .data(useData) // enter text text.enter().append("svg:text") .attr("x", x) .attr("y", function (d) { return y(d) + y.rangeBand() / 2; }) .attr("dx", -3) // padding-right .attr("dy", ".35em") // vertical-align: middle .attr("text-anchor", "end") // text-align: right .text(String); // update text text .data(useData) .attr("x", x) .text(String); } useData.length = 0; } } Thanks

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  • Most elegant way to break CSV columns into separate data structures using Python?

    - by Nick L
    I'm trying to pick up Python. As part of the learning process I'm porting a project I wrote in Java to Python. I'm at a section now where I have a list of CSV headers of the form: headers = [a, b, c, d, e, .....] and separate lists of groups that these headers should be broken up into, e.g.: headers_for_list_a = [b, c, e, ...] headers_for_list_b = [a, d, k, ...] . . . I want to take the CSV data and turn it into dict's based on these groups, e.g.: list_a = [ {b:val_1b, c:val_1c, e:val_1e, ... }, {b:val_2b, c:val_2c, e:val_2e, ... }, {b:val_3b, c:val_3c, e:val_3e, ... }, . . . ] where for example, val_1b is the first row of the 'b' column, val_3c is the third row of the 'c' column, etc. My first "Java instinct" is to do something like: for row in data: for col_num, val in enumerate(row): col_name = headers[col_num] if col_name in group_a: dict_a[col_name] = val elif headers[col_cum] in group_b: dict_b[col_name] = val ... list_a.append(dict_a) list_b.append(dict_b) ... However, this method seems inefficient/unwieldy and doesn't posses the elegance that Python programmers are constantly talking about. Is there a more "Zen-like" way I should try- keeping with the philosophy of Python?

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  • Avoid an "out of memory error" in Java(eclipse), when using large data structure?

    - by gnomed
    OK, so I am writing a program that unfortunately needs to use a huge data structure to complete its work, but it is failing with a "out of memory error" during its initialization. While I understand entirely what that means and why it is a problem, I am having trouble overcoming it, since my program needs to use this large structure and I don't know any other way to store it. The program first indexes a large corpus of text files that I provide. This works fine. Then it uses this index to initialize a large 2D array. This array will have nXn entries, where "n" is the number of unique words in the corpus of text. For the relatively small chunk I am testing it on(about 60 files) it needs to make approximately 30,000x30,000 entries. this will probably be bigger once I run it on my full intended corpus too. It consistently fails every time, after it indexes, while it is initializing the data structure(to be worked on later). Things I have done include: revamp my code to use a primitive "int[]" instead of a "TreeMap" eliminate redundant structures, etc... Also, I have run eclipse with "eclipse -vmargs -Xmx2g" to max out my allocated memory I am fairly confident this is not going to be a simple line of code solution, but is most likely going to require a very new approach. I am looking for what that approach is, any ideas? Thanks, B.

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  • A data structure based on the R-Tree: creating new child nodes when a node is full, but what if I ha

    - by Tom
    I realize my title is not very clear, but I am having trouble thinking of a better one. If anyone wants to correct it, please do. I'm developing a data structure for my 2 dimensional game with an infinite universe. The data structure is based on a simple (!) node/leaf system, like the R-Tree. This is the basic concept: you set howmany childs you want a node (a container) to have maximum. If you want to add a leaf, but the node the leaf should be in is full, then it will create a new set of nodes within this node and move all current leafs to their new (more exact) node. This way, very populated areas will have a lot more subdivisions than a very big but rarely visited area. This works for normal objects. The only problem arises when I have more than maxChildsPerNode objects with the exact same X,Y location: because the node is full, it will create more exact subnodes, but the old leafs will all be put in the exact same node again because they have the exact same position -- resulting in an infinite loop of creating more nodes and more nodes. So, what should I do when I want to add more leafs than maxChildsPerNode with the exact same position to my tree? PS. if I failed to explain my problem, please tell me, so I can try to improve the explanation.

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  • stdio data from write not making it into a file

    - by user1551209
    I'm having a problem with using stdio commands for manipulating data in a file. I short, when I write data into a file, write returns an int indicating that it was successful, but when I read it back out I only get the old data. Here's a stripped down version of the code: fd = open(filename,O_RDWR|O_APPEND); struct dE *cDE = malloc(sizeof(struct dE)); //Read present data printf("\nreading values at %d\n",off); printf("SeekStatus <%d>\n",lseek(fd,off,SEEK_SET)); printf("ReadStatus <%d>\n",read(fd,cDE,deSize)); printf("current Key/Data <%d/%s>\n",cDE->key,cDE->data); printf("\nwriting new values\n"); //Change the values locally cDE->key = //something new cDE->data = //something new //Write them back printf("SeekStatus <%d>\n",lseek(fd,off,SEEK_SET)); printf("WriteStatus <%d>\n",write(fd,cDE,deSize)); //Re-read to make sure that it got written back printf("\nre-reading values at %d\n",off); printf("SeekStatus <%d>\n",lseek(fd,off,SEEK_SET)); printf("ReadStatus <%d>\n",read(fd,cDE,deSize)); printf("current Key/Data <%d/%s>\n",cDE->key,cDE->data); Furthermore, here's the dE struct in case you're wondering: struct dE { int key; char data[DataSize]; }; This prints: reading values at 1072 SeekStatus <1072> ReadStatus <32> current Key/Data <27/old> writing new values SeekStatus <1072> WriteStatus <32> re-reading values at 1072 SeekStatus <1072> ReadStatus <32> current Key/Data <27/old>

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  • How can I read and parse chunks of data into a Perl hash of arrays?

    - by neversaint
    I have data that looks like this: #info #info2 1:SRX004541 Submitter: UT-MGS, UT-MGS Study: Glossina morsitans transcript sequencing project(SRP000741) Sample: Glossina morsitans(SRS002835) Instrument: Illumina Genome Analyzer Total: 1 run, 8.3M spots, 299.9M bases Run #1: SRR016086, 8330172 spots, 299886192 bases 2:SRX004540 Submitter: UT-MGS Study: Anopheles stephensi transcript sequencing project(SRP000747) Sample: Anopheles stephensi(SRS002864) Instrument: Solexa 1G Genome Analyzer Total: 1 run, 8.4M spots, 401M bases Run #1: SRR017875, 8354743 spots, 401027664 bases 3:SRX002521 Submitter: UT-MGS Study: Massive transcriptional start site mapping of human cells under hypoxic conditions.(SRP000403) Sample: Human DLD-1 tissue culture cell line(SRS001843) Instrument: Solexa 1G Genome Analyzer Total: 6 runs, 27.1M spots, 977M bases Run #1: SRR013356, 4801519 spots, 172854684 bases Run #2: SRR013357, 3603355 spots, 129720780 bases Run #3: SRR013358, 3459692 spots, 124548912 bases Run #4: SRR013360, 5219342 spots, 187896312 bases Run #5: SRR013361, 5140152 spots, 185045472 bases Run #6: SRR013370, 4916054 spots, 176977944 bases What I want to do is to create a hash of array with first line of each chunk as keys and SR## part of lines with "^Run" as its array member: $VAR = { 'SRX004541' => ['SRR016086'], # etc } But why my construct doesn't work. And it must be a better way to do it. use Data::Dumper; my %bighash; my $head = ""; my @temp = (); while ( <> ) { chomp; next if (/^\#/); if ( /^\d{1,2}:(\w+)/ ) { print "$1\n"; $head = $1; } elsif (/^Run \#\d+: (\w+),.*/){ print "\t$1\n"; push @temp, $1; } elsif (/^$/) { push @{$bighash{$head}}, [@temp]; @temp =(); } } print Dumper \%bighash ;

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  • What are your suggestions for best practises for regular data updates in a website database?

    - by bboyle1234
    My shared-hosting asp.net website must automatically run data update routines at regular times of day. Once it has finished running certain update routines, it can run update routines that are dependent on the previous updates. I have done this type of work before, using quite complicated setups. Some features of the framework I created are: A cron job from another server makes a request which starts a data update routine on the main server Each updater is loaded from web.config Each updater overrides a "canRunUpdate" method that determines whether its dependencies have finished updating Each updater overrides a "hasFinishedUpdate" method Each updater overrides a "runUpdate" method Updaters start and run in parallel threads The initial request from the cron job server started each updater in its own thread and then ended. As a result, the threads containing the updaters would be terminated before the updaters were finished. Therefore I had to give the updaters the ability to save partial results and continue the update job next time they are started up. As a result, the cron server had to call the updater many times to ensure the job is done. Sometimes the cron server would continue making update requests long after all the updates were completed. Sometimes the cron server would finish calling the update requests and leave some updates uncompleted. It's not the best system. I'm looking for inspiration. Any ideas please? Thank you :)

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  • Passing XML data and user from coldfusion page to .NET page

    - by Mark Rullo
    I'd appreciate some input on this situation, I can't figure out the best way to do this. I have some data that's being prepared for me in a ColdFusion app and in an IFrame within the CF app we want to display some graphs (not strictly an image, it's an entire page) being generated on the .NET side of things. I'd like to pass XML data from the CF side to .NET as well as the user. On the .NET side I'm putting the data in a session so the user can sift through it without the need to have it re-queried and re-passed from CF. What I've tried: Generating XML with CF, putting it in a hidden form field, auto-submitting (with JS) a the form to the .NET side. The issue I'm having with this approach is the encoding being done on the form post. The data has entries like <entry data="hello &amp; goodbye">. It's an issue because it's being URL encdeded, Posted, and when I get it on the .NET side I get <entry data="hello & goodbye"> which isn't properly formed XML. What I'd like to avoid: An intermediary DB approach (dropping the data in a DB on CF, picking it up with .NET) I'd like to only display what is passed to the page. I have security concerns with the data, it's very sensitive. Passing the data to a webservice, returning a GUID, forwarding the user with a URL Parameter to access the passed in data. I think that'd be risky if someone happened on a link to that data. I can't take that risk. I was thinking of passing the data with JSON, but I'm very unfamiliar with it. Thoughts? Thanks for your time folks.

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  • How do I display core data on second view controller?

    - by jon
    I am working on my first core data iPhone application. I am using a navigation controller, and the root view controller displays 4 rows. Clicking the first row takes me to a second table view controller. However, when I click the back button, repeat the row tap, click the back button again, and tap the row a third time, I get an error. I have been researching this for a week with no success. I can reproduce the error easily: Create a new Navigation-based Application, use Core Data for storage, call it MyTest which creates MyTestAppDelegate and RootViewController. Add new UIViewController subclass, with UITableViewController and xib, call it ListViewController. Copy code from RootViewController.h and .m to ListViewController.h and .m., changing the file names appropriately. To simplify the code, I removed the trailing “_” from all variables. In RootViewController, I added #import ListViewController.h, set up an array to display 4 rows and navigate to ListViewController when clicking the first row. In ListViewController.m, I added #import MyTestAppDelegate.h” and the following code: - (void)viewDidLoad { [super viewDidLoad]; if (managedObjectContext == nil) { managedObjectContext = [(MyTestAppDelegate *)[[UIApplication sharedApplication] delegate] managedObjectContext]; } .. } The sequence that causes the error is tap row, return, tap row, return, tap row - error. managedObjectContext is synthesized for the third time. I appreciate your patience and your help, as this makes no sense to me. ADDENDUM: I may have a partial solution. http://www.iphonedevsdk.com/forum/iphone-sdk-development/41688-accessing-app-delegates-managed-object-context.html If I do not release the managedObjectContext in the .m file, the error goes away. Is that ok or will that cause me issues? - (void)dealloc { [fetchedResultsController release]; // [managedObjectContext release]; [super dealloc]; } ADDENDUM 2: See solution below. Sorry for the formatting issues - this was my first post.

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  • Separating code logic from the actual data structures. Best practices?

    - by Patrick
    I have an application that loads lots of data into memory (this is because it needs to perform some mathematical simulation on big data sets). This data comes from several database tables, that all refer to each other. The consistency rules on the data are rather complex, and looking up all the relevant data requires quite some hashes and other additional data structures on the data. Problem is that this data may also be changed interactively by the user in a dialog. When the user presses the OK button, I want to perform all the checks to see that he didn't introduce inconsistencies in the data. In practice all the data needs to be checked at once, so I cannot update my data set incrementally and perform the checks one by one. However, all the checking code work on the actual data set loaded in memory, and use the hashing and other data structures. This means I have to do the following: Take the user's changes from the dialog Apply them to the big data set Perform the checks on the big data set Undo all the changes if the checks fail I don't like this solution since other threads are also continuously using the data set, and I don't want to halt them while performing the checks. Also, the undo means that the old situation needs to be put aside, which is also not possible. An alternative is to separate the checking code from the data set (and let it work on explicitly given data, e.g. coming from the dialog) but this means that the checking code cannot use hashing and other additional data structures, because they only work on the big data set, making the checks much slower. What is a good practice to check user's changes on complex data before applying them to the 'application's' data set?

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  • Fastest way to read/store lots of multidimensional data? (Java)

    - by RemiX
    I have three questions about three nested loops: for (int x=0; x<400; x++) { for (int y=0; y<300; y++) { for (int z=0; z<400; z++) { // compute and store value } } } And I need to store all computed values. My standard approach would be to use a 3D-array: values[x][y][z] = 1; // test value but this turns out to be slow: it takes 192 ms to complete this loop, where a single int-assignment int value = 1; // test value takes only 66 ms. 1) Why is an array so relatively slow? 2) And why does it get even slower when I put this in the inner loop: values[z][y][x] = 1; // (notice x and z switched) This takes more than 4 seconds! 3) Most importantly: Can I use a data structure that is as quick as the assignment of a single integer, but can store as much data as the 3D-array?

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  • Excel data into PowerPoint slides

    - by nqw1
    I have already found some helpful sites but I'm still unable to do what I want. My Excel file contains few columns and multiple rows. All the data from one row would be in one slide but data from different cells in that one row should go to a specific elements in PP slide. At first, is it possible to export data from an Excel cell into a specific text box in PP? For example, I would like to have all data from the first column of each row go to a Text box 1. Let's say I have 100 rows so I would have 100 slides and each slide would have Text bow 1 with correct data. Text box of slide 66 would have data from the first column of row 66. Then all data from the second column of each row would go to a text bow 2 and so on. I tried to do some macros with bad success. I also tried to use Word outlines and export them into PP (New slide - Slides from Outline) but there seems to be a bug since I got 250 pages of gibberish. I had only two paragraphs and both had one word. First paragraph used Heading 1 style and second paragraph used Normal style. Sites what I have found, use VB and/or some other programming language to create slides from Excel sheets. I have tried to add those VB codes into my macros but none of them hasn't worked so far. Probably I just don't know how to use them correctly :) Here's some helpful sites: VBA: Create PowerPoint Slide for Each Row in Excel Workbook Creating a Presentation Report Based on Data Question in Stackoverflow I use Office 2011 on Mac. Any help would be appreciated!

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  • How to export SQL Server data from corrupted database (with disk write error)

    - by damitamit
    IT realised there was a disk write error on our production SQL Server 2005 and hence was causing the backups to fail. By the time they had realised this the nightly backup was old, so were not able to just restore the backup on another server. The database is still running and being used constantly. However DBCC CheckDB fails. Also the SQL Server backup task fails, Copy Database fails, Export Data Wizard fails. However it seems all the data can be read from the tables (i.e using bcp etc) Another observation I have made is that the Transaction Log is nearly double the size of the Database. (Does that mean all the changes arent being written to the MDF?) What would be the best plan of attack to get the database to a state where backups are working and the data is safe? Take the database offline and use the MDF/LDF to somehow create the database on another sql server? Export the data from the database using bcp. Create the database (use the Generate Scripts function on the corrupt db to create the schema on the new db) on another sql server and use bcp again to import the data. Some other option that is the right course of action in this situation? The IT manager says the data is safe as if the server fails, the data can be restored from the mdf/ldf. I'm not sure so insisted that we start exporting the data each night as a failsafe (using bcp for example). IT are also having issues on the hardware side of things as supposedly the disk error in on a virtualized disk and can't be rebuilt like a normal raid array (or something like that). Please excuse my use of incorrect terminology and incorrect assumptions on how Sql Server operates. I'm the application developer and have been called to help (as it seems IT know less about SQL Server than I do). Many Thanks, Amit

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  • Performance data collection for short-running, ephemeral servers

    - by ErikA
    We're building a medical image processing software stack, currently hosted on various AWS resources. As part of this application, we have a handful of long-running servers (database, load balancers, web application, etc.). Collecting performance data on those servers is quite simple - my go-to- recipe of Nagios (for monitoring/notifications) and Munin (for collection of performance data and displaying trends) will work just fine. However - as part of this application, we are constantly starting up and terminating compute instances on EC2. In typical usage, these compute instances start up, configure themselves, receive a job from a message queue, and then get to work processing that job, which takes anywhere from 15 minutes to over 8 hours. After job completion, these instances get terminated, never to be heard from again. What is a decent strategy for collecting performance data on these short-lived instances? I don't necessarily need monitoring on them - if they fail for whatever reason, our application will detect this and handle re-starting the job on another instance or raising the flag so an administrator can take a look at things. However, it still would be useful to collect information like CPU (user, idle, iowait, etc.), memory usage, network traffic, disk read/write data, etc. In our internal database, we track the instance ID of the machine that runs each job, and it would be quite helpful to be able to look up performance data for a specific instance ID for troubleshooting and profiling. Munin doesn't seem like a great candidate, as it requires maintaining a list of munin nodes in a text file - far from ideal for an environment with a high amount of churn, and for the short amount of time each node will be running, I'd rather keep the full-resolution data indefinitely than have RRD water down the data over time. In the end, my guess is that this will require a monitoring engine that: uses a database (MySQL, SQLite, etc.) for configuration and data storage exposes an API for adding/removing hosts and services Are there other things I should be thinking about when evaluating options? Perhaps I'm over-thinking this, though, and just ought to run sar at 1-minute intervals on these short-lived instances and collect the sar db files prior to termination.

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  • Binding data to subgrid

    - by bhargav
    i have a jqgrid with a subgrid...the databinding is done in javascript like this <script language="javascript" type="text/javascript"> var x = screen.width; $(document).ready(function () { $("#projgrid").jqGrid({ mtype: 'POST', datatype: function (pdata) { getData(pdata); }, colNames: ['Project ID', 'Due Date', 'Project Name', 'SalesRep', 'Organization:', 'Status', 'Active Value', 'Delete'], colModel: [ { name: 'Project ID', index: 'project_id', width: 12, align: 'left', key: true }, { name: 'Due Date', index: 'project_date_display', width: 15, align: 'left' }, { name: 'Project Name', index: 'project_title', width: 60, align: 'left' }, { name: 'SalesRep', index: 'Salesrep', width: 22, align: 'left' }, { name: 'Organization:', index: 'customer_company_name:', width: 56, align: 'left' }, { name: 'Status', index: 'Status', align: 'left', width: 15 }, { name: 'Active Value', index: 'Active Value', align: 'left', width: 10 }, { name: 'Delete', index: 'Delete', align: 'left', width: 10}], pager: '#proj_pager', rowList: [10, 20, 50], sortname: 'project_id', sortorder: 'asc', rowNum: 10, loadtext: "Loading....", subGrid: true, shrinkToFit: true, emptyrecords: "No records to view", width: x - 100, height: "100%", rownumbers: true, caption: 'Projects', subGridRowExpanded: function (subgrid_id, row_id) { var subgrid_table_id, pager_id; subgrid_table_id = subgrid_id + "_t"; pager_id = "p_" + subgrid_table_id; $("#" + subgrid_id).html("<table id='" + subgrid_table_id + "' class='scroll'></table><div id='" + pager_id + "' class='scroll'></div>"); jQuery("#" + subgrid_table_id).jqGrid({ mtype: 'POST', postData: { entityIndex: function () { return row_id } }, datatype: function (pdata) { getactionData(pdata); }, height: "100%", colNames: ['Event ID', 'Priority', 'Deadline', 'From Date', 'Title', 'Status', 'Hours', 'Contact From', 'Contact To'], colModel: [ { name: 'Event ID', index: 'Event ID' }, { name: 'Priority', index: 'IssueCode' }, { name: 'Deadline', index: 'IssueTitle' }, { name: 'From Date', index: 'From Date' }, { name: 'Title', index: 'Title' }, { name: 'Status', index: 'Status' }, { name: 'Hours', index: 'Hours' }, { name: 'Contact From', index: 'Contact From' }, { name: 'Contact To', index: 'Contact To' } ], caption: "Action Details", rowNum: 10, pager: '#actionpager', rowList: [10, 20, 30, 50], sortname: 'Event ID', sortorder: "desc", loadtext: "Loading....", shrinkToFit: true, emptyrecords: "No records to view", rownumbers: true, ondblClickRow: function (rowid) { } }); jQuery("#actiongrid").jqGrid('navGrid', '#actionpager', { edit: false, add: false, del: false, search: false }); } }); jQuery("#projgrid").jqGrid('navGrid', '#proj_pager', { edit: false, add: false, del: false, excel: true, search: false }); }); function getactionData(pdata) { var project_id = pdata.entityIndex(); var ChannelContact = document.getElementById('ctl00_ContentPlaceHolder2_ddlChannelContact').value; var HideCompleted = document.getElementById('ctl00_ContentPlaceHolder2_chkHideCompleted').checked; var Scm = document.getElementById('ctl00_ContentPlaceHolder2_chkScm').checked; var checkOnlyContact = document.getElementById('ctl00_ContentPlaceHolder2_chkOnlyContact').checked; var MerchantId = document.getElementById('ctl00_ContentPlaceHolder2_ucProjectDetail_hidden_MerchantId').value; var nrows = pdata.rows; var npage = pdata.page; var sortindex = pdata.sidx; var sortdir = pdata.sord; var path = "project_brow.aspx/GetActionDetails" $.ajax({ type: "POST", url: path, data: "{'project_id': '" + project_id + "','ChannelContact': '" + ChannelContact + "','HideCompleted': '" + HideCompleted + "','Scm': '" + Scm + "','checkOnlyContact': '" + checkOnlyContact + "','MerchantId': '" + MerchantId + "','nrows': '" + nrows + "','npage': '" + npage + "','sortindex': '" + sortindex + "','sortdir': '" + sortdir + "'}", contentType: "application/json; charset=utf-8", success: function (data, textStatus) { if (textStatus == "success") obj = jQuery.parseJSON(data.d) ReceivedData(obj); }, error: function (data, textStatus) { alert('An error has occured retrieving data!'); } }); } function ReceivedData(data) { var thegrid = jQuery("#actiongrid")[0]; thegrid.addJSONData(data); } function getData(pData) { var dtDateFrom = document.getElementById('ctl00_ContentPlaceHolder2_dtDateFrom_textBox').value; var dtDateTo = document.getElementById('ctl00_ContentPlaceHolder2_dtDateTo_textBox').value; var Status = document.getElementById('ctl00_ContentPlaceHolder2_ddlStatus').value; var Type = document.getElementById('ctl00_ContentPlaceHolder2_ddlType').value; var Channel = document.getElementById('ctl00_ContentPlaceHolder2_ddlChannel').value; var ChannelContact = document.getElementById('ctl00_ContentPlaceHolder2_ddlChannelContact').value; var Customers = document.getElementById('ctl00_ContentPlaceHolder2_txtCustomers').value; var KeywordSearch = document.getElementById('ctl00_ContentPlaceHolder2_txtKeywordSearch').value; var Scm = document.getElementById('ctl00_ContentPlaceHolder2_chkScm').checked; var HideCompleted = document.getElementById('ctl00_ContentPlaceHolder2_chkHideCompleted').checked; var SelectedCustomerId = document.getElementById("<%=hdnSelectedCustomerId.ClientID %>").value var MerchantId = document.getElementById('ctl00_ContentPlaceHolder2_ucProjectDetail_hidden_MerchantId').value; var nrows = pData.rows; var npage = pData.page; var sortindex = pData.sidx; var sortdir = pData.sord; PageMethods.GetProjectDetails(SelectedCustomerId, Customers, KeywordSearch, MerchantId, Channel, Status, Type, dtDateTo, dtDateFrom, ChannelContact, HideCompleted, Scm, nrows, npage, sortindex, sortdir, AjaxSucceeded, AjaxFailed); } function AjaxSucceeded(data) { var obj = jQuery.parseJSON(data) if (obj != null) { if (obj.records!="") { ReceivedClientData(obj); } else { alert('No Data Available to Display') } } } function AjaxFailed(data) { alert('An error has occured retrieving data!'); } function ReceivedClientData(data) { var thegrid = jQuery("#projgrid")[0]; thegrid.addJSONData(data); } </script> as u can see projgrid is my parent grid and action grid is my subgrid to be shown onclicking the '+' symbol Projgrid is binded and being displayed but when it comes to subgrid im able to get the data but the problem comes at the time of binding data to subgrid which is done in function named ReceivedData where you can see like this function ReceivedData(data) { var thegrid = jQuery("#actiongrid")[0]; thegrid.addJSONData(data); } "data" is what i wanted exactly but it cannot be binded to actiongrid which is the subgrid Thanx in advance for help

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  • Creating a thematic map

    - by jsharma
    This post describes how to create a simple thematic map, just a state population layer, with no underlying map tile layer. The map shows states color-coded by total population. The map is interactive with info-windows and can be panned and zoomed. The sample code demonstrates the following: Displaying an interactive vector layer with no background map tile layer (i.e. purpose and use of the Universe object) Using a dynamic (i.e. defined via the javascript client API) color bucket style Dynamically changing a layer's rendering style Specifying which attribute value to use in determining the bucket, and hence style, for a feature (FoI) The result is shown in the screenshot below. The states layer was defined, and stored in the user_sdo_themes view of the mvdemo schema, using MapBuilder. The underlying table is defined as SQL> desc states_32775  Name                                      Null?    Type ----------------------------------------- -------- ----------------------------  STATE                                              VARCHAR2(26)  STATE_ABRV                                         VARCHAR2(2) FIPSST                                             VARCHAR2(2) TOTPOP                                             NUMBER PCTSMPLD                                           NUMBER LANDSQMI                                           NUMBER POPPSQMI                                           NUMBER ... MEDHHINC NUMBER AVGHHINC NUMBER GEOM32775 MDSYS.SDO_GEOMETRY We'll use the TOTPOP column value in the advanced (color bucket) style for rendering the states layers. The predefined theme (US_STATES_BI) is defined as follows. SQL> select styling_rules from user_sdo_themes where name='US_STATES_BI'; STYLING_RULES -------------------------------------------------------------------------------- <?xml version="1.0" standalone="yes"?> <styling_rules highlight_style="C.CB_QUAL_8_CLASS_DARK2_1"> <hidden_info> <field column="STATE" name="Name"/> <field column="POPPSQMI" name="POPPSQMI"/> <field column="TOTPOP" name="TOTPOP"/> </hidden_info> <rule column="TOTPOP"> <features style="states_totpop"> </features> <label column="STATE_ABRV" style="T.BLUE_SERIF_10"> 1 </label> </rule> </styling_rules> SQL> The theme definition specifies that the state, poppsqmi, totpop, state_abrv, and geom columns will be queried from the states_32775 table. The state_abrv value will be used to label the state while the totpop value will be used to determine the color-fill from those defined in the states_totpop advanced style. The states_totpop style, which we will not use in our demo, is defined as shown below. SQL> select definition from user_sdo_styles where name='STATES_TOTPOP'; DEFINITION -------------------------------------------------------------------------------- <?xml version="1.0" ?> <AdvancedStyle> <BucketStyle> <Buckets default_style="C.S02_COUNTRY_AREA"> <RangedBucket seq="0" label="10K - 5M" low="10000" high="5000000" style="C.SEQ6_01" /> <RangedBucket seq="1" label="5M - 12M" low="5000001" high="1.2E7" style="C.SEQ6_02" /> <RangedBucket seq="2" label="12M - 20M" low="1.2000001E7" high="2.0E7" style="C.SEQ6_04" /> <RangedBucket seq="3" label="&gt; 20M" low="2.0000001E7" high="5.0E7" style="C.SEQ6_05" /> </Buckets> </BucketStyle> </AdvancedStyle> SQL> The demo defines additional advanced styles via the OM.style object and methods and uses those instead when rendering the states layer.   Now let's look at relevant snippets of code that defines the map extent and zoom levels (i.e. the OM.universe),  loads the states predefined vector layer (OM.layer), and sets up the advanced (color bucket) style. Defining the map extent and zoom levels. function initMap() {   //alert("Initialize map view");     // define the map extent and number of zoom levels.   // The Universe object is similar to the map tile layer configuration   // It defines the map extent, number of zoom levels, and spatial reference system   // well-known ones (like web mercator/google/bing or maps.oracle/elocation are predefined   // The Universe must be defined when there is no underlying map tile layer.   // When there is a map tile layer then that defines the map extent, srid, and zoom levels.      var uni= new OM.universe.Universe(     {         srid : 32775,         bounds : new OM.geometry.Rectangle(                         -3280000, 170000, 2300000, 3200000, 32775),         numberOfZoomLevels: 8     }); The srid specifies the spatial reference system which is Equal-Area Projection (United States). SQL> select cs_name from cs_srs where srid=32775 ; CS_NAME --------------------------------------------------- Equal-Area Projection (United States) The bounds defines the map extent. It is a Rectangle defined using the lower-left and upper-right coordinates and srid. Loading and displaying the states layer This is done in the states() function. The full code is at the end of this post, however here's the snippet which defines the states VectorLayer.     // States is a predefined layer in user_sdo_themes     var  layer2 = new OM.layer.VectorLayer("vLayer2",     {         def:         {             type:OM.layer.VectorLayer.TYPE_PREDEFINED,             dataSource:"mvdemo",             theme:"us_states_bi",             url: baseURL,             loadOnDemand: false         },         boundingTheme:true      }); The first parameter is a layer name, the second is an object literal for a layer config. The config object has two attributes: the first is the layer definition, the second specifies whether the layer is a bounding one (i.e. used to determine the current map zoom and center such that the whole layer is displayed within the map window) or not. The layer config has the following attributes: type - specifies whether is a predefined one, a defined via a SQL query (JDBC), or in a json-format file (DATAPACK) theme - is the predefined theme's name url - is the location of the mapviewer server loadOnDemand - specifies whether to load all the features or just those that lie within the current map window and load additional ones as needed on a pan or zoom The code snippet below dynamically defines an advanced style and then uses it, instead of the 'states_totpop' style, when rendering the states layer. // override predefined rendering style with programmatic one    var theRenderingStyle =      createBucketColorStyle('YlBr5', colorSeries, 'States5', true);   // specify which attribute is used in determining the bucket (i.e. color) to use for the state   // It can be an array because the style could be a chart type (pie/bar)   // which requires multiple attribute columns     // Use the STATE.TOTPOP column (aka attribute) value here    layer2.setRenderingStyle(theRenderingStyle, ["TOTPOP"]); The style itself is defined in the createBucketColorStyle() function. Dynamically defining an advanced style The advanced style used here is a bucket color style, i.e. a color style is associated with each bucket. So first we define the colors and then the buckets.     numClasses = colorSeries[colorName].classes;    // create Color Styles    for (var i=0; i < numClasses; i++)    {         theStyles[i] = new OM.style.Color(                      {fill: colorSeries[colorName].fill[i],                        stroke:colorSeries[colorName].stroke[i],                       strokeOpacity: useGradient? 0.25 : 1                      });    }; numClasses is the number of buckets. The colorSeries array contains the color fill and stroke definitions and is: var colorSeries = { //multi-hue color scheme #10 YlBl. "YlBl3": {   classes:3,                  fill: [0xEDF8B1, 0x7FCDBB, 0x2C7FB8],                  stroke:[0xB5DF9F, 0x72B8A8, 0x2872A6]   }, "YlBl5": {   classes:5,                  fill:[0xFFFFCC, 0xA1DAB4, 0x41B6C4, 0x2C7FB8, 0x253494],                  stroke:[0xE6E6B8, 0x91BCA2, 0x3AA4B0, 0x2872A6, 0x212F85]   }, //multi-hue color scheme #11 YlBr.  "YlBr3": {classes:3,                  fill:[0xFFF7BC, 0xFEC44F, 0xD95F0E],                  stroke:[0xE6DEA9, 0xE5B047, 0xC5360D]   }, "YlBr5": {classes:5,                  fill:[0xFFFFD4, 0xFED98E, 0xFE9929, 0xD95F0E, 0x993404],                  stroke:[0xE6E6BF, 0xE5C380, 0xE58A25, 0xC35663, 0x8A2F04]     }, etc. Next we create the bucket style.    bucketStyleDef = {       numClasses : colorSeries[colorName].classes, //      classification: 'custom',  //since we are supplying all the buckets //      buckets: theBuckets,       classification: 'logarithmic',  // use a logarithmic scale       styles: theStyles,       gradient:  useGradient? 'linear' : 'off' //      gradient:  useGradient? 'radial' : 'off'     };    theBucketStyle = new OM.style.BucketStyle(bucketStyleDef);    return theBucketStyle; A BucketStyle constructor takes a style definition as input. The style definition specifies the number of buckets (numClasses), a classification scheme (which can be equal-ranged, logarithmic scale, or custom), the styles for each bucket, whether to use a gradient effect, and optionally the buckets (required when using a custom classification scheme). The full source for the demo <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN" "http://www.w3.org/TR/html4/strict.dtd"> <html> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <title>Oracle Maps V2 Thematic Map Demo</title> <script src="http://localhost:8080/mapviewer/jslib/v2/oraclemapsv2.js" type="text/javascript"> </script> <script type="text/javascript"> //var $j = jQuery.noConflict(); var baseURL="http://localhost:8080/mapviewer"; // location of mapviewer OM.gv.proxyEnabled =false; // no mvproxy needed OM.gv.setResourcePath(baseURL+"/jslib/v2/images/"); // location of resources for UI elements like nav panel buttons var map = null; // the client mapviewer object var statesLayer = null, stateCountyLayer = null; // The vector layers for states and counties in a state var layerName="States"; // initial map center and zoom var mapCenterLon = -20000; var mapCenterLat = 1750000; var mapZoom = 2; var mpoint = new OM.geometry.Point(mapCenterLon,mapCenterLat,32775); var currentPalette = null, currentStyle=null; // set an onchange listener for the color palette select list // initialize the map // load and display the states layer $(document).ready( function() { $("#demo-htmlselect").change(function() { var theColorScheme = $(this).val(); useSelectedColorScheme(theColorScheme); }); initMap(); states(); } ); /** * color series from ColorBrewer site (http://colorbrewer2.org/). */ var colorSeries = { //multi-hue color scheme #10 YlBl. "YlBl3": { classes:3, fill: [0xEDF8B1, 0x7FCDBB, 0x2C7FB8], stroke:[0xB5DF9F, 0x72B8A8, 0x2872A6] }, "YlBl5": { classes:5, fill:[0xFFFFCC, 0xA1DAB4, 0x41B6C4, 0x2C7FB8, 0x253494], stroke:[0xE6E6B8, 0x91BCA2, 0x3AA4B0, 0x2872A6, 0x212F85] }, //multi-hue color scheme #11 YlBr. "YlBr3": {classes:3, fill:[0xFFF7BC, 0xFEC44F, 0xD95F0E], stroke:[0xE6DEA9, 0xE5B047, 0xC5360D] }, "YlBr5": {classes:5, fill:[0xFFFFD4, 0xFED98E, 0xFE9929, 0xD95F0E, 0x993404], stroke:[0xE6E6BF, 0xE5C380, 0xE58A25, 0xC35663, 0x8A2F04] }, // single-hue color schemes (blues, greens, greys, oranges, reds, purples) "Purples5": {classes:5, fill:[0xf2f0f7, 0xcbc9e2, 0x9e9ac8, 0x756bb1, 0x54278f], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Blues5": {classes:5, fill:[0xEFF3FF, 0xbdd7e7, 0x68aed6, 0x3182bd, 0x18519C], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Greens5": {classes:5, fill:[0xedf8e9, 0xbae4b3, 0x74c476, 0x31a354, 0x116d2c], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Greys5": {classes:5, fill:[0xf7f7f7, 0xcccccc, 0x969696, 0x636363, 0x454545], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Oranges5": {classes:5, fill:[0xfeedde, 0xfdb385, 0xfd8d3c, 0xe6550d, 0xa63603], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] }, "Reds5": {classes:5, fill:[0xfee5d9, 0xfcae91, 0xfb6a4a, 0xde2d26, 0xa50f15], stroke:[0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3, 0xd3d3d3] } }; function createBucketColorStyle( colorName, colorSeries, rangeName, useGradient) { var theBucketStyle; var bucketStyleDef; var theStyles = []; var theColors = []; var aBucket, aStyle, aColor, aRange; var numClasses ; numClasses = colorSeries[colorName].classes; // create Color Styles for (var i=0; i < numClasses; i++) { theStyles[i] = new OM.style.Color( {fill: colorSeries[colorName].fill[i], stroke:colorSeries[colorName].stroke[i], strokeOpacity: useGradient? 0.25 : 1 }); }; bucketStyleDef = { numClasses : colorSeries[colorName].classes, // classification: 'custom', //since we are supplying all the buckets // buckets: theBuckets, classification: 'logarithmic', // use a logarithmic scale styles: theStyles, gradient: useGradient? 'linear' : 'off' // gradient: useGradient? 'radial' : 'off' }; theBucketStyle = new OM.style.BucketStyle(bucketStyleDef); return theBucketStyle; } function initMap() { //alert("Initialize map view"); // define the map extent and number of zoom levels. // The Universe object is similar to the map tile layer configuration // It defines the map extent, number of zoom levels, and spatial reference system // well-known ones (like web mercator/google/bing or maps.oracle/elocation are predefined // The Universe must be defined when there is no underlying map tile layer. // When there is a map tile layer then that defines the map extent, srid, and zoom levels. var uni= new OM.universe.Universe( { srid : 32775, bounds : new OM.geometry.Rectangle( -3280000, 170000, 2300000, 3200000, 32775), numberOfZoomLevels: 8 }); map = new OM.Map( document.getElementById('map'), { mapviewerURL: baseURL, universe:uni }) ; var navigationPanelBar = new OM.control.NavigationPanelBar(); map.addMapDecoration(navigationPanelBar); } // end initMap function states() { //alert("Load and display states"); layerName = "States"; if(statesLayer) { // states were already visible but the style may have changed // so set the style to the currently selected one var theData = $('#demo-htmlselect').val(); setStyle(theData); } else { // States is a predefined layer in user_sdo_themes var layer2 = new OM.layer.VectorLayer("vLayer2", { def: { type:OM.layer.VectorLayer.TYPE_PREDEFINED, dataSource:"mvdemo", theme:"us_states_bi", url: baseURL, loadOnDemand: false }, boundingTheme:true }); // add drop shadow effect and hover style var shadowFilter = new OM.visualfilter.DropShadow({opacity:0.5, color:"#000000", offset:6, radius:10}); var hoverStyle = new OM.style.Color( {stroke:"#838383", strokeThickness:2}); layer2.setHoverStyle(hoverStyle); layer2.setHoverVisualFilter(shadowFilter); layer2.enableFeatureHover(true); layer2.enableFeatureSelection(false); layer2.setLabelsVisible(true); // override predefined rendering style with programmatic one var theRenderingStyle = createBucketColorStyle('YlBr5', colorSeries, 'States5', true); // specify which attribute is used in determining the bucket (i.e. color) to use for the state // It can be an array because the style could be a chart type (pie/bar) // which requires multiple attribute columns // Use the STATE.TOTPOP column (aka attribute) value here layer2.setRenderingStyle(theRenderingStyle, ["TOTPOP"]); currentPalette = "YlBr5"; var stLayerIdx = map.addLayer(layer2); //alert('State Layer Idx = ' + stLayerIdx); map.setMapCenter(mpoint); map.setMapZoomLevel(mapZoom) ; // display the map map.init() ; statesLayer=layer2; // add rt-click event listener to show counties for the state layer2.addListener(OM.event.MouseEvent.MOUSE_RIGHT_CLICK,stateRtClick); } // end if } // end states function setStyle(styleName) { // alert("Selected Style = " + styleName); // there may be a counties layer also displayed. // that wll have different bucket ranges so create // one style for states and one for counties var newRenderingStyle = null; if (layerName === "States") { if(/3/.test(styleName)) { newRenderingStyle = createBucketColorStyle(styleName, colorSeries, 'States3', false); currentStyle = createBucketColorStyle(styleName, colorSeries, 'Counties3', false); } else { newRenderingStyle = createBucketColorStyle(styleName, colorSeries, 'States5', false); currentStyle = createBucketColorStyle(styleName, colorSeries, 'Counties5', false); } statesLayer.setRenderingStyle(newRenderingStyle, ["TOTPOP"]); if (stateCountyLayer) stateCountyLayer.setRenderingStyle(currentStyle, ["TOTPOP"]); } } // end setStyle function stateRtClick(evt){ var foi = evt.feature; //alert('Rt-Click on State: ' + foi.attributes['_label_'] + // ' with pop ' + foi.attributes['TOTPOP']); // display another layer with counties info // layer may change on each rt-click so create and add each time. var countyByState = null ; // the _label_ attribute of a feature in this case is the state abbreviation // we will use that to query and get the counties for a state var sqlText = "select totpop,geom32775 from counties_32775_moved where state_abrv="+ "'"+foi.getAttributeValue('_label_')+"'"; // alert(sqlText); if (currentStyle === null) currentStyle = createBucketColorStyle('YlBr5', colorSeries, 'Counties5', false); /* try a simple style instead new OM.style.ColorStyle( { stroke: "#B8F4FF", fill: "#18E5F4", fillOpacity:0 } ); */ // remove existing layer if any if(stateCountyLayer) map.removeLayer(stateCountyLayer); countyByState = new OM.layer.VectorLayer("stCountyLayer", {def:{type:OM.layer.VectorLayer.TYPE_JDBC, dataSource:"mvdemo", sql:sqlText, url:baseURL}}); // url:baseURL}, // renderingStyle:currentStyle}); countyByState.setVisible(true); // specify which attribute is used in determining the bucket (i.e. color) to use for the state countyByState.setRenderingStyle(currentStyle, ["TOTPOP"]); var ctLayerIdx = map.addLayer(countyByState); // alert('County Layer Idx = ' + ctLayerIdx); //map.addLayer(countyByState); stateCountyLayer = countyByState; } // end stateRtClick function useSelectedColorScheme(theColorScheme) { if(map) { // code to update renderStyle goes here //alert('will try to change render style'); setStyle(theColorScheme); } else { // do nothing } } </script> </head> <body bgcolor="#b4c5cc" style="height:100%;font-family:Arial,Helvetica,Verdana"> <h3 align="center">State population thematic map </h3> <div id="demo" style="position:absolute; left:68%; top:44px; width:28%; height:100%"> <HR/> <p/> Choose Color Scheme: <select id="demo-htmlselect"> <option value="YlBl3"> YellowBlue3</option> <option value="YlBr3"> YellowBrown3</option> <option value="YlBl5"> YellowBlue5</option> <option value="YlBr5" selected="selected"> YellowBrown5</option> <option value="Blues5"> Blues</option> <option value="Greens5"> Greens</option> <option value="Greys5"> Greys</option> <option value="Oranges5"> Oranges</option> <option value="Purples5"> Purples</option> <option value="Reds5"> Reds</option> </select> <p/> </div> <div id="map" style="position:absolute; left:10px; top:50px; width:65%; height:75%; background-color:#778f99"></div> <div style="position:absolute;top:85%; left:10px;width:98%" class="noprint"> <HR/> <p> Note: This demo uses HTML5 Canvas and requires IE9+, Firefox 10+, or Chrome. No map will show up in IE8 or earlier. </p> </div> </body> </html>

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  • Improving the Industry’s Best Cloud Project Portfolio Management (PPM) Solution – New Release of Instantis EnterpriseTrack

    - by Melissa Centurio Lopes
    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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} By Yasser Mahmud, Vice President of Product Strategy & Industry Marketing, Oracle Primavera We know that in today’s rapidly changing world, organizations and leaders must adapt to fierce competition, business climate change and customers consistently demanding more for less. And project portfolio management (PPM) initiatives are a key component to help organizations thrive and stand out among competitors. That’s why I’m excited to announce Instantis EnterpriseTrack 8.5. Since Oracle’s acquisition of Instantis late last year, we’ve been busy working to enhance the leading cloud PPM solution. 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Here’s what’s new: Perform more precise resource planning and management  Gain more precise capacity visibility for resource planning and project execution with resource calendars that capture vacation, LOA and part-time resource availability Ensure compliance and governance processes  with activity labor cost capitalization Improve project labor cost estimation, tracking and administration with variable resource rates 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Optimize Project Demand Management And Execution Enhance productivity and analysis with project request flexible staffing plan and simplified finance estimation Improve project status communication and execution with estimated time to complete (ETC) in timesheets and projects Achieve audit compliance and governance with field change history for key project and project request fields Enforce proper financial accounting processes with the new strict finance lock/close period option 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-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Improve Reporting and the User Experience Enhance user productivity and analysis with improved listing pages Improve program reporting with new program filters in listing pages and reports Run large data volume user defined Excel reports with MS Excel 2010 support Accelerate user productivity and satisfaction with an improved user interface for project issues, risks, and scope changes Enjoy faster system response and improved user experience with  optimized listing pages, resource planning, and application cache Deliver user self-service training on demand with UPK support And if that wasn’t enough, we’ve also made additional improvements to timesheets, field change history and finance lock/close period. Learn more about Instantis EnterpriseTrack 8.5.

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  • A Look Back at 2010 Predictions

    - by David Dorf
    Now is the time of year people make their predictions for next year, but before I start thinking about 2011 it's worth a look back to see how my predictions for 2010 fared. 1. Borders and Blockbuster bite the dust. I would have never predicted a strong brand such as Circuit City could die, but now I know it can happen to anyone. Borders has lost the battle with Barnes & Noble and Blockbuster has lost to Netflix. And just to be sure, Amazon put an extra nail in each coffin. Borders received additional investment from Bennett LeBow to keep it afloat, but the stock is down around $1.25 with no profits in sight. Blockbuster filed for bankruptcy back in September. 2. Every retailer finally has a page on Facebook... but very few figure out how to keep fans engaged. Retailer postings become noise, and fans start to unsubscribe. Twitter goes in the same direction. A few standout retailers will figure out how to use social media, and the rest will remain dumbfounded. Most retailers are on the Facebook bandwagon, and their fan bases seem to be increasing thanks to promotions like The Gap's logo redesign, Lowes' black Friday sneak peak, and Walmart's Crowd Savers. There are several examples of f-commerce advancements, including some interesting integrations from Amazon.3. Smartphones consolidate and grow. More and more people will step-up to smartphones, most of which will choose iPhone, Blackberry, and Android phones. Other smartphones will vanish, and networks will start to strain. But retailers will finally embrace mobile as the next big channel. Retail marketing departments will build mobile apps without the help of their IT department, and eventually they will get into a bind. Android has been on a tear lately stealing market share from Blackberry. Palm and Microsoft are trending down, and Apple is holding steady. Smartphone sales are up 15% and expected to continue. Retailers understand the importance of mobile, and some innovative applications have been produced this year. 4. Google helps the little guys. Google will push its Favorite Places project to help give exposure to small retailers and restaurants. They will enable small retailers to act like big ones by providing storefronts, detailed product information, and coupons for consumers. Google will find a way to bring augmented reality to the masses. I can't say I've seen much new from Google regarding Favorite Places, but they've continued to push local product search. From the PC or smartphone, consumers can search for products and see which nearby stores have it stock. Oracle Retail even productized an integration to Google to support this effort. I suppose if Google ever buys Groupon then it will bring them even closer to local shopping. Google talked about augmented humanity, but that has nothing to do with augmented reality. 5. Steve Jobs Is Bugs Bunny and Steve Ballmer is Elmer Fudd. (OK, I stole that headline from an InformationWeek article. I couldn't resist.) Both Apple and Microsoft will continue to open new stores, but only Apple will show real growth. POSReady 2009 (formerly WEPOS) will continue to share the POS market with Linux. The iPhone and iPod will continue to capture market share, but there won't be an Apple tablet. There won't be an Apple tablet? What was I thinking? While Apple has well over 300 stores, there are less than 10 Microsoft stores. Initial impressions show that even though Microsoft is locating its store near Apple Stores, they are not converting customers, with shoppers citing a lack of assortment and high prices. 6. Consolidation of e-commerce software providers. Software vendors in the areas of search, reviews, online call-centers, payments, and e-commerce will consolidate, partly driven by the success of m-commerce and SaaS. Amazon will find someone else to buy, and eBay will continue to lose momentum. Consolidation of e-commerce providers continued with IBM acquiring Sterling Commerce and CoreMetrics, and Oracle recently announcing the acquisition of ATG. Amazon grabbed Zappos, Woot, and Diapers.com to continue its dominance of online selling. While eBay's Marketplace growth may have slowed, its PayPal division is doing quite well, fueled in part by demand for mobile payments. 7. Book publishers mirror music labels. Just as the iPod brought digital downloads to the masses, the Kindle and Nook will power the e-book revolution. Books will continue to use DRM for a few more years before following the path of music. Publishers will try to preserve the margins of hardbacks by associating e-book releases with paperbacks. Amazon has done a good job providing e-reader clients for smartphones, PCs, and tablets. Competition from Barnes & Noble has forced Amazon to support book loaning, and both companies are making it easier for people to publish ebooks (with or without DRM). Progress is slow but steady. 8. NFC makes inroads, RFID treads water. Near Field Communications start to appear in mobile phones, and retailers beta test its use for payments and loyalty programs. RFID tag costs come down a bit, but not enough to spur accelerated adoption.Nokia announced plans to offer NFC-enabled phones in 2011, and rumors are swirling about NFC in the upcoming iPhone.  I think NFC is heading in the right direction, and I've heard more interest from retailers about specialized uses for RFID.9. Digital Signage goes the way of augmented reality. People use their camera phones to leave geo-tagged notes all over cities, rating stores and restaurants, and "painting" graffiti. But people get tired of holding their phones in front of their faces, so AR glasses are offered in much the same way bluetooth headsets emerged. Retailers experiement with in-store advertising using AR. Several retailers like Pizza Hut, Benetton, and Target have experimented with AR but its still somewhat of a gimmick used by marketing.  I think this prediction is a year or two too early. 10. JDA flip-flops again. After announcing their embracing of the .Net architecture, then switching to J2EE after the Manugistics acquisition, JDA will finally decide to standardize on Apple's Objective C. Everything will be ported to the iPhone and be available on the AppStore. After all, there's not much left to try. This was, of course, a joke but the sentiment is still valid.  JDA seems more supply-chain focused than retail focused, which is a an outcrop if their i2 acquisition.  Of the 10 predictions, I'm going to say I got 6 somewhat correct.  (Don't you just love grading your own paper?)  Soon I'll post my predictions for 2011 so be on the lookout.  Until then here's one more prediction:  Va Tech beats Stanford in the Orange Bowl -- count on it!

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  • The Benefits of Smart Grid Business Software

    - by Sylvie MacKenzie, PMP
    Smart Grid Background What Are Smart Grids?Smart Grids use computer hardware and software, sensors, controls, and telecommunications equipment and services to: Link customers to information that helps them manage consumption and use electricity wisely. Enable customers to respond to utility notices in ways that help minimize the duration of overloads, bottlenecks, and outages. Provide utilities with information that helps them improve performance and control costs. What Is Driving Smart Grid Development? Environmental ImpactSmart Grid development is picking up speed because of the widespread interest in reducing the negative impact that energy use has on the environment. Smart Grids use technology to drive efficiencies in transmission, distribution, and consumption. As a result, utilities can serve customers’ power needs with fewer generating plants, fewer transmission and distribution assets,and lower overall generation. With the possible exception of wind farm sprawl, landscape preservation is one obvious benefit. And because most generation today results in greenhouse gas emissions, Smart Grids reduce air pollution and the potential for global climate change.Smart Grids also more easily accommodate the technical difficulties of integrating intermittent renewable resources like wind and solar into the grid, providing further greenhouse gas reductions. CostsThe ability to defer the cost of plant and grid expansion is a major benefit to both utilities and customers. Utilities do not need to use as many internal resources for traditional infrastructure project planning and management. Large T&D infrastructure expansion costs are not passed on to customers.Smart Grids will not eliminate capital expansion, of course. Transmission corridors to connect renewable generation with customers will require major near-term expenditures. Additionally, in the future, electricity to satisfy the needs of population growth and additional applications will exceed the capacity reductions available through the Smart Grid. At that point, expansion will resume—but with greater overall T&D efficiency based on demand response, load control, and many other Smart Grid technologies and business processes. Energy efficiency is a second area of Smart Grid cost saving of particular relevance to customers. The timely and detailed information Smart Grids provide encourages customers to limit waste, adopt energy-efficient building codes and standards, and invest in energy efficient appliances. Efficiency may or may not lower customer bills because customer efficiency savings may be offset by higher costs in generation fuels or carbon taxes. It is clear, however, that bills will be lower with efficiency than without it. Utility Operations Smart Grids can serve as the central focus of utility initiatives to improve business processes. Many utilities have long “wish lists” of projects and applications they would like to fund in order to improve customer service or ease staff’s burden of repetitious work, but they have difficulty cost-justifying the changes, especially in the short term. Adding Smart Grid benefits to the cost/benefit analysis frequently tips the scales in favor of the change and can also significantly reduce payback periods.Mobile workforce applications and asset management applications work together to deploy assets and then to maintain, repair, and replace them. Many additional benefits result—for instance, increased productivity and fuel savings from better routing. Similarly, customer portals that provide customers with near-real-time information can also encourage online payments, thus lowering billing costs. Utilities can and should include these cost and service improvements in the list of Smart Grid benefits. What Is Smart Grid Business Software? Smart Grid business software gathers data from a Smart Grid and uses it improve a utility’s business processes. Smart Grid business software also helps utilities provide relevant information to customers who can then use it to reduce their own consumption and improve their environmental profiles. Smart Grid Business Software Minimizes the Impact of Peak Demand Utilities must size their assets to accommodate their highest peak demand. The higher the peak rises above base demand: The more assets a utility must build that are used only for brief periods—an inefficient use of capital. The higher the utility’s risk profile rises given the uncertainties surrounding the time needed for permitting, building, and recouping costs. The higher the costs for utilities to purchase supply, because generators can charge more for contracts and spot supply during high-demand periods. Smart Grids enable a variety of programs that reduce peak demand, including: Time-of-use pricing and critical peak pricing—programs that charge customers more when they consume electricity during peak periods. Pilot projects indicate that these programs are successful in flattening peaks, thus ensuring better use of existing T&D and generation assets. Direct load control, which lets utilities reduce or eliminate electricity flow to customer equipment (such as air conditioners). Contracts govern the terms and conditions of these turn-offs. Indirect load control, which signals customers to reduce the use of on-premises equipment for contractually agreed-on time periods. Smart Grid business software enables utilities to impose penalties on customers who do not comply with their contracts. Smart Grids also help utilities manage peaks with existing assets by enabling: Real-time asset monitoring and control. In this application, advanced sensors safely enable dynamic capacity load limits, ensuring that all grid assets can be used to their maximum capacity during peak demand periods. Real-time asset monitoring and control applications also detect the location of excessive losses and pinpoint need for mitigation and asset replacements. As a result, utilities reduce outage risk and guard against excess capacity or “over-build”. Better peak demand analysis. As a result: Distribution planners can better size equipment (e.g. transformers) to avoid over-building. Operations engineers can identify and resolve bottlenecks and other inefficiencies that may cause or exacerbate peaks. As above, the result is a reduction in the tendency to over-build. Supply managers can more closely match procurement with delivery. As a result, they can fine-tune supply portfolios, reducing the tendency to over-contract for peak supply and reducing the need to resort to spot market purchases during high peaks. Smart Grids can help lower the cost of remaining peaks by: Standardizing interconnections for new distributed resources (such as electricity storage devices). Placing the interconnections where needed to support anticipated grid congestion. Smart Grid Business Software Lowers the Cost of Field Services By processing Smart Grid data through their business software, utilities can reduce such field costs as: Vegetation management. Smart Grids can pinpoint momentary interruptions and tree-caused outages. Spatial mash-up tools leverage GIS models of tree growth for targeted vegetation management. This reduces the cost of unnecessary tree trimming. Service vehicle fuel. Many utility service calls are “false alarms.” Checking meter status before dispatching crews prevents many unnecessary “truck rolls.” Similarly, crews use far less fuel when Smart Grid sensors can pinpoint a problem and mobile workforce applications can then route them directly to it. Smart Grid Business Software Ensures Regulatory Compliance Smart Grids can ensure compliance with private contracts and with regional, national, or international requirements by: Monitoring fulfillment of contract terms. Utilities can use one-hour interval meters to ensure that interruptible (“non-core”) customers actually reduce or eliminate deliveries as required. They can use the information to levy fines against contract violators. Monitoring regulations imposed on customers, such as maximum use during specific time periods. Using accurate time-stamped event history derived from intelligent devices distributed throughout the smart grid to monitor and report reliability statistics and risk compliance. Automating business processes and activities that ensure compliance with security and reliability measures (e.g. NERC-CIP 2-9). Grid Business Software Strengthens Utilities’ Connection to Customers While Reducing Customer Service Costs During outages, Smart Grid business software can: Identify outages more quickly. Software uses sensors to pinpoint outages and nested outage locations. They also permit utilities to ensure outage resolution at every meter location. Size outages more accurately, permitting utilities to dispatch crews that have the skills needed, in appropriate numbers. Provide updates on outage location and expected duration. This information helps call centers inform customers about the timing of service restoration. Smart Grids also facilitates display of outage maps for customer and public-service use. Smart Grids can significantly reduce the cost to: Connect and disconnect customers. Meters capable of remote disconnect can virtually eliminate the costs of field crews and vehicles previously required to change service from the old to the new residents of a metered property or disconnect customers for nonpayment. Resolve reports of voltage fluctuation. Smart Grids gather and report voltage and power quality data from meters and grid sensors, enabling utilities to pinpoint reported problems or resolve them before customers complain. Detect and resolve non-technical losses (e.g. theft). Smart Grids can identify illegal attempts to reconnect meters or to use electricity in supposedly vacant premises. They can also detect theft by comparing flows through delivery assets with billed consumption. Smart Grids also facilitate outreach to customers. By monitoring and analyzing consumption over time, utilities can: Identify customers with unusually high usage and contact them before they receive a bill. They can also suggest conservation techniques that might help to limit consumption. This can head off “high bill” complaints to the contact center. Note that such “high usage” or “additional charges apply because you are out of range” notices—frequently via text messaging—are already common among mobile phone providers. Help customers identify appropriate bill payment alternatives (budget billing, prepayment, etc.). Help customers find and reduce causes of over-consumption. There’s no waiting for bills in the mail before they even understand there is a problem. Utilities benefit not just through improved customer relations but also through limiting the size of bills from customers who might struggle to pay them. Where permitted, Smart Grids can open the doors to such new utility service offerings as: Monitoring properties. Landlords reduce costs of vacant properties when utilities notify them of unexpected energy or water consumption. Utilities can perform similar services for owners of vacation properties or the adult children of aging parents. Monitoring equipment. Power-use patterns can reveal a need for equipment maintenance. Smart Grids permit utilities to alert owners or managers to a need for maintenance or replacement. Facilitating home and small-business networks. Smart Grids can provide a gateway to equipment networks that automate control or let owners access equipment remotely. They also facilitate net metering, offering some utilities a path toward involvement in small-scale solar or wind generation. Prepayment plans that do not need special meters. Smart Grid Business Software Helps Customers Control Energy Costs There is no end to the ways Smart Grids help both small and large customers control energy costs. For instance: Multi-premises customers appreciate having all meters read on the same day so that they can more easily compare consumption at various sites. Customers in competitive regions can match their consumption profile (detailed via Smart Grid data) with specific offerings from competitive suppliers. Customers seeing inexplicable consumption patterns and power quality problems may investigate further. The result can be discovery of electrical problems that can be resolved through rewiring or maintenance—before more serious fires or accidents happen. Smart Grid Business Software Facilitates Use of Renewables Generation from wind and solar resources is a popular alternative to fossil fuel generation, which emits greenhouse gases. Wind and solar generation may also increase energy security in regions that currently import fossil fuel for use in generation. Utilities face many technical issues as they attempt to integrate intermittent resource generation into traditional grids, which traditionally handle only fully dispatchable generation. Smart Grid business software helps solves many of these issues by: Detecting sudden drops in production from renewables-generated electricity (wind and solar) and automatically triggering electricity storage and smart appliance response to compensate as needed. Supporting industry-standard distributed generation interconnection processes to reduce interconnection costs and avoid adding renewable supplies to locations already subject to grid congestion. Facilitating modeling and monitoring of locally generated supply from renewables and thus helping to maximize their use. Increasing the efficiency of “net metering” (through which utilities can use electricity generated by customers) by: Providing data for analysis. Integrating the production and consumption aspects of customer accounts. During non-peak periods, such techniques enable utilities to increase the percent of renewable generation in their supply mix. During peak periods, Smart Grid business software controls circuit reconfiguration to maximize available capacity. Conclusion Utility missions are changing. Yesterday, they focused on delivery of reasonably priced energy and water. Tomorrow, their missions will expand to encompass sustainable use and environmental improvement.Smart Grids are key to helping utilities achieve this expanded mission. But they come at a relatively high price. Utilities will need to invest heavily in new hardware, software, business process development, and staff training. Customer investments in home area networks and smart appliances will be large. Learning to change the energy and water consumption habits of a lifetime could ultimately prove even more formidable tasks.Smart Grid business software can ease the cost and difficulties inherent in a needed transition to a more flexible, reliable, responsive electricity grid. Justifying its implementation, however, requires a full understanding of the benefits it brings—benefits that can ultimately help customers, utilities, communities, and the world address global issues like energy security and climate change while minimizing costs and maximizing customer convenience. This white paper is available for download here. For further information about Oracle's Primavera Solutions for Utilities, please read our Utilities e-book.

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  • New Features and Changes in OIM11gR2

    - by Abhishek Tripathi
    WEB CONSOLEs in OIM 11gR2 ** In 11gR1 there were 3 Admin Web Consoles : ·         Self Service Console ·         Administration Console and ·         Advanced Administration Console accessible Whereas in OIM 11gR2 , Self Service and Administration Console have are now combined and now called as Identity Self Service Console http://host:port/identity  This console has 3 features in it for managing self profile (My Profile), Managing Requests like requesting for App Instances and Approving requests (Requests) and General Administration tasks of creating/managing users, roles, organization, attestation etc (Administration) ** In OIM 11gR2 – new console sysadmin has been added Administrators which includes some of the design console functions apart from general administrations features. http://host:port/sysadmin   Application Instances Application instance is the object that is to be provisioned to a user. Application Instances are checked out in the catalog and user can request for application instances via catalog. ·         In OIM 11gR2 resources and entitlements are bundled in Application Instance which user can select and request from catalog.  ·         Application instance is a combination of IT Resource and RO. So, you cannot create another App Instance with the same RO & IT Resource if it already exists for some other App Instance. One of these ( RO or IT Resource) must have a different name. ·         If you want that users of a particular Organization should be able to request for an Application instances through catalog then App Instances must be attached to that particular Organization. ·         Application instance can be associated with multiple organizations. ·         An application instance can also have entitlements associated with it. Entitlement can include Roles/Groups or Responsibility. ·         Application Instance are published to the catalog by a scheduled task “Catalog Synchronization Job” ·         Application Instance can have child/ parent application instance where child application instance inherits all attributes of parent application instance. Important point to remember with Application Instance If you delete the application Instance in OIM 11gR2 and create a new one with the same name, OIM will not allow doing so. It throws error saying Application Instance already exists with same Resource Object and IT resource. This is because there is still some reference that is not removed in OIM for deleted application Instance.  So to completely delete your application Instance from OIM, you must: 1. Delete the app Instance from sysadmin console. 2. Run the App Instance Post Delete Processing Job in Revoke/Delete mode. 3. Run the Catalog Synchronization job. Once done, you should be able to create a new App instance with the previous RO & IT Resouce name.   Catalog  Catalog allows users to request Roles, Application Instance, and Entitlements in an Application. Catalog Items – Roles, Application Instance and Entitlements that can be requested via catalog are called as catalog items. Detailed Information ( attributes of Catalog item)  Category – Each catalog item is associated with one and only one category. Catalog Administrators can provide a value for catalog item. ·         Tags – are search keywords helpful in searching Catalog. When users search the Catalog, the search is performed against the tags. To define a tag, go to Catalog->Search the resource-> select the resource-> update the tag field with custom search keyword. Tags are of three types: a) Auto-generated Tags: The Catalog synchronization process auto-tags the Catalog Item using the Item Type, Item Name and Item Display Name b) User-defined Tags: User-defined Tags are additional keywords entered by the Catalog Administrator. c) Arbitrary Tags: While defining a metadata if user has marked that metadata as searchable, then that will also be part of tags.   Sandbox  Sanbox is a new feature introduced in OIM11gR2. This serves as a temporary development environment for UI customizations so that they don’t affect other users before they are published and linked to existing OIM UI. All UI customizations should be done inside a sandbox, this ensures that your changes/modifications don’t affect other users until you have finalized the changes and customization is complete. Once UI customization is completed, the Sandbox must be published for the customizations to be merged into existing UI and available to other users. Creating and activating a sandbox is mandatory for customizing the UI by .Without an active sandbox, OIM does not allow to customize any page. a)      Before you perform any activity in OIM (like Create/Modify Forms, Custom Attribute, creating application instances, adding roles/attributes to catalog) you must create a Sand Box and activate it. b)      One can create multiple sandboxes in OIM but only one sandbox can be active at any given time. c)      You can export/import the sandbox to move the changes from one environment to the other. Creating Sandbox To create sandbox, login to identity manager self service (/identity) or System Administration (/sysadmin) and click on top right of link “Sandboxes” and then click on Create SandBox. Publishing Sandbox Before you publish a sandbox, it is recommended to backup MDS. Use /EM to backup MDS by following the steps below : Creating MDS Backup 1.      Login to Oracle Enterprise Manager as the administrator. 2.      On the landing page, click oracle.iam.console.identity.self-service.ear(V2.0). 3.      From the Application Deployment menu at the top, select MDS configuration. 4.      Under Export, select the Export metadata documents to an archive on the machine where this web browser is running option, and then click Export. All the metadata is exported in a ZIP file.   Creating Password Policy through Admin Console : In 11gR1 and previous versions password policies could be created & applied via OIM Design Console only. From OIM11gR2 onwards, Password Policies can be created and assigned using Admin Console as well.  

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  • Guide to MySQL & NoSQL, Webinar Q&A

    - by Mat Keep
    0 0 1 959 5469 Homework 45 12 6416 14.0 Normal 0 false false false EN-US JA 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-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Yesterday we ran a webinar discussing the demands of next generation web services and how blending the best of relational and NoSQL technologies enables developers and architects to deliver the agility, performance and availability needed to be successful. Attendees posted a number of great questions to the MySQL developers, serving to provide additional insights into areas like auto-sharding and cross-shard JOINs, replication, performance, client libraries, etc. So I thought it would be useful to post those below, for the benefit of those unable to attend the webinar. Before getting to the Q&A, there are a couple of other resources that maybe useful to those looking at NoSQL capabilities within MySQL: - On-Demand webinar (coming soon!) - Slides used during the webinar - Guide to MySQL and NoSQL whitepaper  - MySQL Cluster demo, including NoSQL interfaces, auto-sharing, high availability, etc.  So here is the Q&A from the event  Q. Where does MySQL Cluster fit in to the CAP theorem? A. MySQL Cluster is flexible. A single Cluster will prefer consistency over availability in the presence of network partitions. A pair of Clusters can be configured to prefer availability over consistency. A full explanation can be found on the MySQL Cluster & CAP Theorem blog post.  Q. Can you configure the number of replicas? (the slide used a replication factor of 1) Yes. A cluster is configured by an .ini file. The option NoOfReplicas sets the number of originals and replicas: 1 = no data redundancy, 2 = one copy etc. Usually there's no benefit in setting it >2. Q. Interestingly most (if not all) of the NoSQL databases recommend having 3 copies of data (the replication factor).    Yes, with configurable quorum based Reads and writes. MySQL Cluster does not need a quorum of replicas online to provide service. Systems that require a quorum need > 2 replicas to be able to tolerate a single failure. Additionally, many NoSQL systems take liberal inspiration from the original GFS paper which described a 3 replica configuration. MySQL Cluster avoids the need for a quorum by using a lightweight arbitrator. You can configure more than 2 replicas, but this is a tradeoff between incrementally improved availability, and linearly increased cost. Q. Can you have cross node group JOINS? Wouldn't that run into the risk of flooding the network? MySQL Cluster 7.2 supports cross nodegroup joins. A full cross-join can require a large amount of data transfer, which may bottleneck on network bandwidth. However, for more selective joins, typically seen with OLTP and light analytic applications, cross node-group joins give a great performance boost and network bandwidth saving over having the MySQL Server perform the join. Q. Are the details of the benchmark available anywhere? According to my calculations it results in approx. 350k ops/sec per processor which is the largest number I've seen lately The details are linked from Mikael Ronstrom's blog The benchmark uses a benchmarking tool we call flexAsynch which runs parallel asynchronous transactions. It involved 100 byte reads, of 25 columns each. Regarding the per-processor ops/s, MySQL Cluster is particularly efficient in terms of throughput/node. It uses lock-free minimal copy message passing internally, and maximizes ID cache reuse. Note also that these are in-memory tables, there is no need to read anything from disk. Q. Is access control (like table) planned to be supported for NoSQL access mode? Currently we have not seen much need for full SQL-like access control (which has always been overkill for web apps and telco apps). So we have no plans, though especially with memcached it is certainly possible to turn-on connection-level access control. But specifically table level controls are not planned. Q. How is the performance of memcached APi with MySQL against memcached+MySQL or any other Object Cache like Ecache with MySQL DB? With the memcache API we generally see a memcached response in less than 1 ms. and a small cluster with one memcached server can handle tens of thousands of operations per second. Q. Can .NET can access MemcachedAPI? Yes, just use a .Net memcache client such as the enyim or BeIT memcache libraries. Q. Is the row level locking applicable when you update a column through memcached API? An update that comes through memcached uses a row lock and then releases it immediately. Memcached operations like "INCREMENT" are actually pushed down to the data nodes. In most cases the locks are not even held long enough for a network round trip. Q. Has anyone published an example using something like PHP? I am assuming that you just use the PHP memcached extension to hook into the memcached API. Is that correct? Not that I'm aware of but absolutely you can use it with php or any of the other drivers Q. For beginner we need more examples. Take a look here for a fully worked example Q. Can I access MySQL using Cobol (Open Cobol) or C and if so where can I find the coding libraries etc? A. There is a cobol implementation that works well with MySQL, but I do not think it is Open Cobol. Also there is a MySQL C client library that is a standard part of every mysql distribution Q. Is there a place to go to find help when testing and/implementing the NoSQL access? If using Cluster then you can use the [email protected] alias or post on the MySQL Cluster forum Q. Are there any white papers on this?  Yes - there is more detail in the MySQL Guide to NoSQL whitepaper If you have further questions, please don’t hesitate to use the comments below!

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  • Don't Miss the Primavera Track Call for Presentations

    - by Melissa Centurio Lopes
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Can your insights save another company from learning an expensive lesson? Do you have a success story to tell?  The COLLABORATE 13 – Primavera Track Call for Presentations is now open! April 7–11, 2013 in Denver, Colorado, is the premier event for Primavera and Unifier power-users to learn best practices from successful customers as well as hear details on the latest product functionality from the Primavera team. With over 50 sessions dedicated to Primavera products, users will also be able to learn about Primavera's complete product suite and network with other customers and partners within the Primavera community. Customers can also attend hundreds of sessions on Oracle's complete product suite. Share your Primavera success story by submitting a presentation proposal. Deadline for submissions: Wednesday, October 31, 2012. The Primavera presence has been growing at Collaborate year over year, with 50+ sessions and 400 customers in attendance last year – but we want this year’s track to be even bigger and better so please submit a session! 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  • Why Does Adding a UDF or Code Truncates the # of Resources in List?

    - by Jeffrey McDaniel
    Go to the Primavera - Resource Assignment History subject area.  Go under Resources, General and add fields Resource Id, Resource Name and Current Flag. Because this is using a historical subject area with Type II slowly changing dimensions for Resources you may get multiple rows for each resource if there have been any changes on the resource.  You may see a few records with current flags = 0, and you will see a row with current flag = 1 for all resources. Current flag = 1 represents this is the most up to date row for this resource.  In this query the OBI server is only querying the W_RESOURCE_HD dimension.  (Query from nqquery log) select distinct 0 as c1,      D1.c1 as c2,      D1.c2 as c3,      D1.c3 as c4 from       (select distinct T10745.CURRENT_FLAG as c1,                T10745.RESOURCE_ID as c2,                T10745.RESOURCE_NAME as c3           from                 W_RESOURCE_HD T10745 /* Dim_W_RESOURCE_HD_Resource */            where  ( T10745.LAST_RUN_PER_DAY_FLAG = 1 )       ) D1 If you add a resource code to the query now it is forcing the OBI server to include data from W_RESOURCE_HD, W_CODES_RESOURCE_HD, as well as W_ASSIGNMENT_SPREAD_HF. Because the Resource and Resource Codes are in different dimensions they must be joined through a common fact table. So if at anytime you are pulling data from different dimensions it will ALWAYS pass through the fact table in that subject areas. One rule is if there is no fact value related to that dimensional data then nothing will show. In this case if you have a list of 100 resources when you query just Resource Id, Resource Name and Current Flag but when you add a Resource Code the list drops to 60 it could be because those resources exist at a dictionary level but are not assigned to any activities and therefore have no facts. As discussed in a previous blog, its all about the facts.   Here is a look at the query returned from the OBI server when trying to query Resource Id, Resource Name, Current Flag and a Resource Code.  You'll see in the query there is an actual fact included (AT_COMPLETION_UNITS) even though it is never returned when viewing the data through the Analysis. select distinct 0 as c1,      D1.c2 as c2,      D1.c3 as c3,      D1.c4 as c4,      D1.c5 as c5,      D1.c1 as c6 from       (select sum(T10754.AT_COMPLETION_UNITS) as c1,                T10706.CODE_VALUE_02 as c2,                T10745.CURRENT_FLAG as c3,                T10745.RESOURCE_ID as c4,                T10745.RESOURCE_NAME as c5           from                 W_RESOURCE_HD T10745 /* Dim_W_RESOURCE_HD_Resource */ ,                W_CODES_RESOURCE_HD T10706 /* Dim_W_CODES_RESOURCE_HD_Resource_Codes_HD */ ,                W_ASSIGNMENT_SPREAD_HF T10754 /* Fact_W_ASSIGNMENT_SPREAD_HF_Assignment_Spread */            where  ( T10706.RESOURCE_OBJECT_ID = T10754.RESOURCE_OBJECT_ID and T10706.LAST_RUN_PER_DAY_FLAG = 1 and T10745.ROW_WID = T10754.RESOURCE_WID and T10745.LAST_RUN_PER_DAY_FLAG = 1 and T10754.LAST_RUN_PER_DAY_FLAG = 1 )            group by T10706.CODE_VALUE_02, T10745.RESOURCE_ID, T10745.RESOURCE_NAME, T10745.CURRENT_FLAG      ) D1 order by c4, c5, c3, c2 When querying in any subject area and you cross different dimensions, especially Type II slowly changing dimensions, if the result set appears to be short the first place to look is to see if that object has associated facts.

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