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• Best alternatives to recover lost directories in FAT32 external hard drive?

  - by Sergio

  I have an 320 GB ADATA CH91 external hard drive. I guess it has some problems with the connector of the USB jack. The point is that in certain occasions it fails in write operations generating data losses. Right now I lost a directory with several GB's of very useful information. Since then I have not attempted to write to the disk any more. What tool would you recommend to recover the lost data? The disk is FAT32 formatted (only one partition) and I use both Linux and Windows. What filesystem format would you recommend to avoid future data losses? I currently only use this external hard drive in Linux so there are several available choices (FAT, NTFS, ext3, ext4, reiser, etc.).

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• External Hard Drive needs format problem

  - by Saher

  I recently bought a new ADATA external Classic hard drive 500GB. I have transferred around 29GB of data on it till I install my new windows 7 operating system. After some work with the hard drive (copying / deleting ... files) . I closed it for some reason and it couldn't open again asking me to format. I don't want to format the hard drive, I have important data I need...Is there a way I can retrieve my data. Is Recover My Files program from GetData a right choice??? part 2 of my question: why might such thing happen (require format to open), is it the hard drive problem or is it just a corrupted file or folder...??? Thanks,

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• Host data transfer limit calculations and network protocol headers

  - by UpTheCreek

  OK, this might be a really stupid question, but... I'm building a web app that utilises websockets. There's fairly rapid messaging going on, so I've been taking a look at the network traffic with wireshark, to see if there's any way of reducing the amount of data we are sending over the wire, and hence costs. A typical message has approx 150 byte data payload, and according to wireshark the lower layer stuff takes up about: Ethernet: 14 bytes IP: 20 Bytes TCP: 20 Bytes My question is, are these network headers included in data transfer calculations? What about TCP ACK messages? (another 54 bytes according to wireshark) This may seem petty, but because we have so much messaging going on, and because the payload is a similar size to these headers, it's significant.

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• Is there a Utility that will scan selected locations and return all files older than a certain date?

  - by CT

  Can anyone recommend a utility that can scan specified directory locations (network shares specifically) and return all files older than a certain date? I am looking to implement a data retention policy at my workplace. As our amount of data grows it puts a large strain on our backup routines. I would like to move old data to some sort of archival system. Extra points for the ability to move queried old files to another location for archival and the ability to create schedules for when this occurs. Many thanks. EDIT: Windows Shop. Mostly Windows 2003 Servers.

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• Moving to Data Center

  - by Won

  Please, give me any advice. Our company has decided to move servers to a data center since we are having a major network traffic jam. The data center provides 100MB bandwidth and full 42 unit cabinet for us. Right now, I am planing to have two firewalls for a failover and changing DNS informations for a web server. Is there anything that I have aware of before I move them to the data center? 1. Web Server 2. Exchange Server 3. SQL Servers

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• Data storage solutions for rapidly running out of space

  - by Grimlockz

  I have 2 web servers (1 live and other backup), the issue I have is our storage is rapidly running out. All the data on the server is used by our customers and new documents are uploaded to the server daily. So nothing can be deleted as it's always in use. We use a flat file structure with no database. I'm seeking solutions or ideas for the best place to move the our data to. The data has to be secure and needs to run on a linux environment. Not sure where to start - clusters, vmware, or they such solutions for huge file servers?

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• MySqlDateTime to System.DateTime conversion

  - by bowsa

  Ok I'm very new to databases and C# in general, but I'm using a piece of code that exports dataset data to an Excel file, and its taking issue with the date/time format. I'm using the MySQL connector so the rowtype is MySql.Data.Types.MySqlDateTime. Is there any quick way to convert it into System.DateTime so I can slot it straight into the case statement? Here's a link to the code I used, I copied it verbatim so I've not copied and pasted it here. It throws a MySql.Data.Types.MySqlDateTime not handled exception: Code Project Thanks in advance for any help.

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• PHP Tag Cloud System

  - by deniz

  Hi, I am implementing a tag cloud system based on this recommendation. (However, I am not using foreign keys) I am allowing up to 25 tags. My question is, how can I handle editing on the items? I have this item adding/editing page: Title: Description: Tags: (example data) computer, book, web, design If someone edits an item details, do I need to delete all the tags from Item2Tag table first, then add the new elements? For instance, someone changed the data to this: Tags: (example data) computer, book, web, newspaper Do I need to delete all the tags from Item2Tag table, and then add these elements? It seems inefficient, but I could find a more efficient way. The other problem is with this way is, if someone edits description but does not change the tags box, I still need to delete all the elements from Item2Tag table and add the same element. I am not an experienced PHP coder, so could you suggest a better way to handle this? (pure PHP/MySQL solution is preferable) Thanks in advance,

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• Amazon like Ecommerce site and Recommendation system

  - by Hellnar

  Hello, I am planning to implement a basic recommendation system that uses Facebook Connect or similar social networking site API's to connect a users profile, based on tags do an analyze and by using the results, generate item recommendations on my e-commerce site(works similar to Amazon). I do believe I need to divide parts into such: Fetching social networking data via API's.(Indeed user allows this) Analyze these data and generate tokes. By using information tokens, do item recommendations on my e-commerce site. Ie: I am a fan of "The Strokes" band on my Facebook account, system analyze this and recommending me "The Strokes Live" CD. For any part(fetching data, doing recommendation based on tags...), what algorithm and method would you recommend/ is used ? Thanks

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• Solving Big Problems with Oracle R Enterprise, Part II

  - by dbayard

  Part II – Solving Big Problems with Oracle R Enterprise In the first post in this series (see https://blogs.oracle.com/R/entry/solving_big_problems_with_oracle), we showed how you can use R to perform historical rate of return calculations against investment data sourced from a spreadsheet.  We demonstrated the calculations against sample data for a small set of accounts.  While this worked fine, in the real-world the problem is much bigger because the amount of data is much bigger.  So much bigger that our approach in the previous post won’t scale to meet the real-world needs. From our previous post, here are the challenges we need to conquer: The actual data that needs to be used lives in a database, not in a spreadsheet The actual data is much, much bigger- too big to fit into the normal R memory space and too big to want to move across the network The overall process needs to run fast- much faster than a single processor The actual data needs to be kept secured- another reason to not want to move it from the database and across the network And the process of calculating the IRR needs to be integrated together with other database ETL activities, so that IRR’s can be calculated as part of the data warehouse refresh processes In this post, we will show how we moved from sample data environment to working with full-scale data.  This post is based on actual work we did for a financial services customer during a recent proof-of-concept. Getting started with the Database At this point, we have some sample data and our IRR function.  We were at a similar point in our customer proof-of-concept exercise- we had sample data but we did not have the full customer data yet.  So our database was empty.  But, this was easily rectified by leveraging the transparency features of Oracle R Enterprise (see https://blogs.oracle.com/R/entry/analyzing_big_data_using_the).  The following code shows how we took our sample data SimpleMWRRData and easily turned it into a new Oracle database table called IRR_DATA via ore.create().  The code also shows how we can access the database table IRR_DATA as if it was a normal R data.frame named IRR_DATA. If we go to sql*plus, we can also check out our new IRR_DATA table: At this point, we now have our sample data loaded in the database as a normal Oracle table called IRR_DATA.  So, we now proceeded to test our R function working with database data. As our first test, we retrieved the data from a single account from the IRR_DATA table, pull it into local R memory, then call our IRR function.  This worked.  No SQL coding required! Going from Crawling to Walking Now that we have shown using our R code with database-resident data for a single account, we wanted to experiment with doing this for multiple accounts.  In other words, we wanted to implement the split-apply-combine technique we discussed in our first post in this series.  Fortunately, Oracle R Enterprise provides a very scalable way to do this with a function called ore.groupApply().  You can read more about ore.groupApply() here: https://blogs.oracle.com/R/entry/analyzing_big_data_using_the1 Here is an example of how we ask ORE to take our IRR_DATA table in the database, split it by the ACCOUNT column, apply a function that calls our SimpleMWRR() calculation, and then combine the results. (If you are following along at home, be sure to have installed our myIRR package on your database server via  “R CMD INSTALL myIRR”). The interesting thing about ore.groupApply is that the calculation is not actually performed in my desktop R environment from which I am running.  What actually happens is that ore.groupApply uses the Oracle database to perform the work.  And the Oracle database is what actually splits the IRR_DATA table by ACCOUNT.  Then the Oracle database takes the data for each account and sends it to an embedded R engine running on the database server to apply our R function.  Then the Oracle database combines all the individual results from the calls to the R function. This is significant because now the embedded R engine only needs to deal with the data for a single account at a time.  Regardless of whether we have 20 accounts or 1 million accounts or more, the R engine that performs the calculation does not care.  Given that normal R has a finite amount of memory to hold data, the ore.groupApply approach overcomes the R memory scalability problem since we only need to fit the data from a single account in R memory (not all of the data for all of the accounts). Additionally, the IRR_DATA does not need to be sent from the database to my desktop R program.  Even though I am invoking ore.groupApply from my desktop R program, because the actual SimpleMWRR calculation is run by the embedded R engine on the database server, the IRR_DATA does not need to leave the database server- this is both a performance benefit because network transmission of large amounts of data take time and a security benefit because it is harder to protect private data once you start shipping around your intranet. Another benefit, which we will discuss in a few paragraphs, is the ability to leverage Oracle database parallelism to run these calculations for dozens of accounts at once. From Walking to Running ore.groupApply is rather nice, but it still has the drawback that I run this from a desktop R instance.  This is not ideal for integrating into typical operational processes like nightly data warehouse refreshes or monthly statement generation.  But, this is not an issue for ORE.  Oracle R Enterprise lets us run this from the database using regular SQL, which is easily integrated into standard operations.  That is extremely exciting and the way we actually did these calculations in the customer proof. As part of Oracle R Enterprise, it provides a SQL equivalent to ore.groupApply which it refers to as “rqGroupEval”.  To use rqGroupEval via SQL, there is a bit of simple setup needed.  Basically, the Oracle Database needs to know the structure of the input table and the grouping column, which we are able to define using the database’s pipeline table function mechanisms. Here is the setup script: At this point, our initial setup of rqGroupEval is done for the IRR_DATA table.  The next step is to define our R function to the database.  We do that via a call to ORE’s rqScriptCreate. Now we can test it.  The SQL you use to run rqGroupEval uses the Oracle database pipeline table function syntax.  The first argument to irr_dataGroupEval is a cursor defining our input.  You can add additional where clauses and subqueries to this cursor as appropriate.  The second argument is any additional inputs to the R function.  The third argument is the text of a dummy select statement.  The dummy select statement is used by the database to identify the columns and datatypes to expect the R function to return.  The fourth argument is the column of the input table to split/group by.  The final argument is the name of the R function as you defined it when you called rqScriptCreate(). The Real-World Results In our real customer proof-of-concept, we had more sophisticated calculation requirements than shown in this simplified blog example.  For instance, we had to perform the rate of return calculations for 5 separate time periods, so the R code was enhanced to do so.  In addition, some accounts needed a time-weighted rate of return to be calculated, so we extended our approach and added an R function to do that.  And finally, there were also a few more real-world data irregularities that we needed to account for, so we added logic to our R functions to deal with those exceptions.  For the full-scale customer test, we loaded the customer data onto a Half-Rack Exadata X2-2 Database Machine.  As our half-rack had 48 physical cores (and 96 threads if you consider hyperthreading), we wanted to take advantage of that CPU horsepower to speed up our calculations.  To do so with ORE, it is as simple as leveraging the Oracle Database Parallel Query features.  Let’s look at the SQL used in the customer proof: Notice that we use a parallel hint on the cursor that is the input to our rqGroupEval function.  That is all we need to do to enable Oracle to use parallel R engines. Here are a few screenshots of what this SQL looked like in the Real-Time SQL Monitor when we ran this during the proof of concept (hint: you might need to right-click on these images to be able to view the images full-screen to see the entire image): From the above, you can notice a few things (numbers 1 thru 5 below correspond with highlighted numbers on the images above.  You may need to right click on the above images and view the images full-screen to see the entire image): The SQL completed in 110 seconds (1.8minutes) We calculated rate of returns for 5 time periods for each of 911k accounts (the number of actual rows returned by the IRRSTAGEGROUPEVAL operation) We accessed 103m rows of detailed cash flow/market value data (the number of actual rows returned by the IRR_STAGE2 operation) We ran with 72 degrees of parallelism spread across 4 database servers Most of our 110seconds was spent in the “External Procedure call” event On average, we performed 8,200 executions of our R function per second (110s/911k accounts) On average, each execution was passed 110 rows of data (103m detail rows/911k accounts) On average, we did 41,000 single time period rate of return calculations per second (each of the 8,200 executions of our R function did rate of return calculations for 5 time periods) On average, we processed over 900,000 rows of database data in R per second (103m detail rows/110s) R + Oracle R Enterprise: Best of R + Best of Oracle Database This blog post series started by describing a real customer problem: how to perform a lot of calculations on a lot of data in a short period of time.  While standard R proved to be a very good fit for writing the necessary calculations, the challenge of working with a lot of data in a short period of time remained. This blog post series showed how Oracle R Enterprise enables R to be used in conjunction with the Oracle Database to overcome the data volume and performance issues (as well as simplifying the operations and security issues).  It also showed that we could calculate 5 time periods of rate of returns for almost a million individual accounts in less than 2 minutes. In a future post, we will take the same R function and show how Oracle R Connector for Hadoop can be used in the Hadoop world.  In that next post, instead of having our data in an Oracle database, our data will live in Hadoop and we will how to use the Oracle R Connector for Hadoop and other Oracle Big Data Connectors to move data between Hadoop, R, and the Oracle Database easily.

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• Cant bind data to a table view

  - by sudhakarilla

  Hi, I have retrieved data from Json URL and displayed it in a table view. I have also inlcuced a button in table view. On clicking the button the data must be transferred to a another table view. The problem is that i could send the data to a view and could display it on a label. But i couldnt bind the dat to table view ... Here's some of the code snippets... Buy Button... -(IBAction)Buybutton{ /* UIAlertView *alert =[[UIAlertView alloc]initWithTitle:@"thank u" message:@"products" delegate:nil cancelButtonTitle:@"ok" otherButtonTitles:nil]; [alert show]; [alert release];*/ Product *selectedProduct = [[data products]objectAtIndex:0]; CartViewController *cartviewcontroller = [[[CartViewController alloc] initWithNibName:@"CartViewController" bundle:nil]autorelease]; cartviewcontroller.product= selectedProduct; //NSString *productname=[product ProductName]; //[currentproducts setproduct:productname]; [self.view addSubview:cartviewcontroller.view]; } CartView... // Implement viewDidLoad to do additional setup after loading the view, typically from a nib. - (void)viewDidLoad { [super viewDidLoad]; data = [GlobalData SharedData]; NSMutableArray *prod =[[NSMutableArray alloc]init]; prod = [data products]; for(NSDictionary *product in prod) { Cart *myprod = [[Cart alloc]init]; myprod.Description = [product Description]; myprod.ProductImage =[product ProductImage]; myprod.ProductName = [product ProductName]; myprod.SalePrice = [product SalePrice]; [data.carts addObject:myprod]; [myprod release]; } Cart *cart = [[data carts]objectAtIndex:0]; NSString *productname=[cart ProductName]; self.label.text =productname; NSLog(@"carts"); } (NSInteger)numberOfSectionsInTableView:(UITableView *)tableView { return 1; } (NSInteger)tableView:(UITableView *)tableView numberOfRowsInSection:(NSInteger)section { return [data.carts count]; } -(CGFloat)tableView:(UITableView *)tableView heightForRowAtIndexPath:(NSIndexPath *)indexPath { return 75; } (UITableViewCell *)tableView:(UITableView *)tableView cellForRowAtIndexPath:(NSIndexPath *)indexPath { NSLog(@"cellforrow"); static NSString *CellIdentifier = @"Cell"; ProductCell *cell = [tableView dequeueReusableCellWithIdentifier:CellIdentifier]; if(cell ==nil) { cell = [[[ProductCell alloc]initWithFrame:CGRectZero reuseIdentifier:CellIdentifier]autorelease]; } NSUInteger row = [indexPath row]; Cart *cart = [[data carts]objectAtIndex:row]; cell.productNameLabel.text = [cart ProductName]; /*NSString *sale = [[NSString alloc]initWithFormat:@"SalePrice:%@",[cart SalePrice]]; cell.salePriceLabel.text = sale; cell.DescriptionLabel.text = [cart Description]; NSMutableString imageUrl =[NSMutableString string]; [imageUrl appendFormat:@"http://demo.s2commerce.net/DesktopModules/S2Commerce/Images/Products/%@",[product ProductImage]]; NSLog(@"imageurl:%@",imageUrl); NSString mapURL = [imageUrl stringByReplacingPercentEscapesUsingEncoding:NSASCIIStringEncoding]; NSData* imageData = [[NSData alloc]initWithContentsOfURL:[NSURL URLWithString:mapURL]]; UIImage* image = [[UIImage alloc]initWithData:imageData]; cell.productImageview.image = image; [imageData release]; [image release];*/ return cell; } I am also getting the following error in the console 2010-06-11 18:34:29.169 navigation[4109:207] * -[CartViewController tableView:numberOfRowsInSection:]: message sent to deallocated instance 0xcb4d4f90

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• Multiple data series in real time plot

  - by Gr3n

  Hi, I'm kind of new to Python and trying to create a plotting app for values read via RS232 from a sensor. I've managed (after some reading and copying examples online) to get a plot working that updates on a timer which is great. My only trouble is that I can't manage to get multiple data series into the same plot. Does anyone have a solution to this? This is the code that I've worked out this far: import os import pprint import random import sys import wx # The recommended way to use wx with mpl is with the WXAgg backend import matplotlib matplotlib.use('WXAgg') from matplotlib.figure import Figure from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigCanvas, NavigationToolbar2WxAgg as NavigationToolbar import numpy as np import pylab DATA_LENGTH = 100 REDRAW_TIMER_MS = 20 def getData(): return int(random.uniform(1000, 1020)) class GraphFrame(wx.Frame): # the main frame of the application def __init__(self): wx.Frame.__init__(self, None, -1, "Usart plotter", size=(800,600)) self.Centre() self.data = [] self.paused = False self.create_menu() self.create_status_bar() self.create_main_panel() self.redraw_timer = wx.Timer(self) self.Bind(wx.EVT_TIMER, self.on_redraw_timer, self.redraw_timer) self.redraw_timer.Start(REDRAW_TIMER_MS) def create_menu(self): self.menubar = wx.MenuBar() menu_file = wx.Menu() m_expt = menu_file.Append(-1, "&Save plot\tCtrl-S", "Save plot to file") self.Bind(wx.EVT_MENU, self.on_save_plot, m_expt) menu_file.AppendSeparator() m_exit = menu_file.Append(-1, "E&xit\tCtrl-X", "Exit") self.Bind(wx.EVT_MENU, self.on_exit, m_exit) self.menubar.Append(menu_file, "&File") self.SetMenuBar(self.menubar) def create_main_panel(self): self.panel = wx.Panel(self) self.init_plot() self.canvas = FigCanvas(self.panel, -1, self.fig) # pause button self.pause_button = wx.Button(self.panel, -1, "Pause") self.Bind(wx.EVT_BUTTON, self.on_pause_button, self.pause_button) self.Bind(wx.EVT_UPDATE_UI, self.on_update_pause_button, self.pause_button) self.hbox1 = wx.BoxSizer(wx.HORIZONTAL) self.hbox1.Add(self.pause_button, border=5, flag=wx.ALL | wx.ALIGN_CENTER_VERTICAL) self.vbox = wx.BoxSizer(wx.VERTICAL) self.vbox.Add(self.canvas, 1, flag=wx.LEFT | wx.TOP | wx.GROW) self.vbox.Add(self.hbox1, 0, flag=wx.ALIGN_LEFT | wx.TOP) self.panel.SetSizer(self.vbox) #self.vbox.Fit(self) def create_status_bar(self): self.statusbar = self.CreateStatusBar() def init_plot(self): self.dpi = 100 self.fig = Figure((3.0, 3.0), dpi=self.dpi) self.axes = self.fig.add_subplot(111) self.axes.set_axis_bgcolor('white') self.axes.set_title('Usart data', size=12) pylab.setp(self.axes.get_xticklabels(), fontsize=8) pylab.setp(self.axes.get_yticklabels(), fontsize=8) # plot the data as a line series, and save the reference # to the plotted line series # self.plot_data = self.axes.plot( self.data, linewidth=1, color="blue", )[0] def draw_plot(self): # redraws the plot xmax = len(self.data) if len(self.data) > DATA_LENGTH else DATA_LENGTH xmin = xmax - DATA_LENGTH ymin = 0 ymax = 4096 self.axes.set_xbound(lower=xmin, upper=xmax) self.axes.set_ybound(lower=ymin, upper=ymax) # enable grid #self.axes.grid(True, color='gray') # Using setp here is convenient, because get_xticklabels # returns a list over which one needs to explicitly # iterate, and setp already handles this. # pylab.setp(self.axes.get_xticklabels(), visible=True) self.plot_data.set_xdata(np.arange(len(self.data))) self.plot_data.set_ydata(np.array(self.data)) self.canvas.draw() def on_pause_button(self, event): self.paused = not self.paused def on_update_pause_button(self, event): label = "Resume" if self.paused else "Pause" self.pause_button.SetLabel(label) def on_save_plot(self, event): file_choices = "PNG (*.png)|*.png" dlg = wx.FileDialog( self, message="Save plot as...", defaultDir=os.getcwd(), defaultFile="plot.png", wildcard=file_choices, style=wx.SAVE) if dlg.ShowModal() == wx.ID_OK: path = dlg.GetPath() self.canvas.print_figure(path, dpi=self.dpi) self.flash_status_message("Saved to %s" % path) def on_redraw_timer(self, event): if not self.paused: newData = getData() self.data.append(newData) self.draw_plot() def on_exit(self, event): self.Destroy() def flash_status_message(self, msg, flash_len_ms=1500): self.statusbar.SetStatusText(msg) self.timeroff = wx.Timer(self) self.Bind( wx.EVT_TIMER, self.on_flash_status_off, self.timeroff) self.timeroff.Start(flash_len_ms, oneShot=True) def on_flash_status_off(self, event): self.statusbar.SetStatusText('') if __name__ == '__main__': app = wx.PySimpleApp() app.frame = GraphFrame() app.frame.Show() app.MainLoop()

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• Database system that is not relational.

  - by paan

  What are the other types of database systems out there. I've recently came across couchDB that handles data in a non relational way. It got me thinking about what other models are other people is using. So, I want to know what other types of data model is out there. (I'm not looking for any specifics, just want to look at how other people are handling data storage, my interest are purely academic) The ones I already know are: RDBMS (mysql,postgres etc..) Document based approach (couchDB, lotus notes) Key/value pair (BerkeleyDB)

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• PostgreSQL 8.4 won't start after blackout

  - by RiZe

  I have problem with starting PostgreSQL 8.4 on Ubuntu 9.10 Server after blackout. When I try to connect to the database it says: psql: server closed the connection unexpectedly This probably means the server terminated abnormally before or while processing the request. When I try to start it by using command sudo -u postgres /etc/init.d/postgresql-8.4 start * Starting PostgreSQL 8.4 database server [ OK ] Netstat output netstat -tulp (No info could be read for "-p": geteuid()=1000 but you should be root.) Active Internet connections (only servers) Proto Recv-Q Send-Q Local Address Foreign Address State PID/Program name tcp 0 0 localhost:postgresql *:* LISTEN - tcp 0 0 192.168.1.35:svn *:* LISTEN - tcp 0 0 192.168.1.35:http-alt *:* LISTEN - tcp 0 0 *:ssh *:* LISTEN - tcp6 0 0 localhost:postgresql [::]:* LISTEN - tcp6 0 0 [::]:ssh [::]:* LISTEN - udp 0 0 *:bootpc *:* - But still don't work so lets restart it sudo -u postgres /etc/init.d/postgresql-8.4 restart * Restarting PostgreSQL 8.4 database server * The PostgreSQL server failed to start. Please check the log output: 2009-11-30 13:39:37 CET LOG: database system was shut down at 2009-11-30 13:39:33 CET 2009-11-30 13:39:37 CET LOG: autovacuum launcher started 2009-11-30 13:39:37 CET LOG: database system is ready to accept connections 2009-11-30 13:39:37 CET LOG: incomplete startup packet 2009-11-30 13:39:38 CET LOG: server process (PID 2240) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:38 CET LOG: terminating any other active server processes 2009-11-30 13:39:38 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:38 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:37 CET 2009-11-30 13:39:38 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:38 CET LOG: record with zero length at 0/11D464C 2009-11-30 13:39:38 CET LOG: redo is not required 2009-11-30 13:39:38 CET LOG: autovacuum launcher started 2009-11-30 13:39:38 CET LOG: database system is ready to accept connections 2009-11-30 13:39:38 CET LOG: server process (PID 2248) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:38 CET LOG: terminating any other active server processes 2009-11-30 13:39:38 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:38 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:38 CET 2009-11-30 13:39:38 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:38 CET LOG: record with zero length at 0/11D4690 2009-11-30 13:39:38 CET LOG: redo is not required 2009-11-30 13:39:39 CET LOG: autovacuum launcher started 2009-11-30 13:39:39 CET LOG: database system is ready to accept connections 2009-11-30 13:39:39 CET LOG: server process (PID 2256) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:39 CET LOG: terminating any other active server processes 2009-11-30 13:39:39 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:39 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:38 CET 2009-11-30 13:39:39 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:39 CET LOG: record with zero length at 0/11D46D4 2009-11-30 13:39:39 CET LOG: redo is not required 2009-11-30 13:39:39 CET LOG: autovacuum launcher started 2009-11-30 13:39:39 CET LOG: database system is ready to accept connections 2009-11-30 13:39:39 CET LOG: server process (PID 2264) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:39 CET LOG: terminating any other active server processes 2009-11-30 13:39:39 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:39 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:39 CET 2009-11-30 13:39:39 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:40 CET LOG: record with zero length at 0/11D4718 2009-11-30 13:39:40 CET LOG: redo is not required 2009-11-30 13:39:40 CET LOG: autovacuum launcher started 2009-11-30 13:39:40 CET LOG: database system is ready to accept connections 2009-11-30 13:39:40 CET LOG: server process (PID 2272) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:40 CET LOG: terminating any other active server processes 2009-11-30 13:39:40 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:40 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:40 CET 2009-11-30 13:39:40 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:40 CET LOG: record with zero length at 0/11D475C 2009-11-30 13:39:40 CET LOG: redo is not required 2009-11-30 13:39:40 CET LOG: autovacuum launcher started 2009-11-30 13:39:40 CET LOG: database system is ready to accept connections 2009-11-30 13:39:41 CET LOG: server process (PID 2280) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:41 CET LOG: terminating any other active server processes 2009-11-30 13:39:41 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:41 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:40 CET 2009-11-30 13:39:41 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:41 CET LOG: record with zero length at 0/11D47A0 2009-11-30 13:39:41 CET LOG: redo is not required 2009-11-30 13:39:41 CET LOG: autovacuum launcher started 2009-11-30 13:39:41 CET LOG: database system is ready to accept connections 2009-11-30 13:39:41 CET LOG: server process (PID 2288) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:41 CET LOG: terminating any other active server processes 2009-11-30 13:39:41 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:41 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:41 CET 2009-11-30 13:39:41 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:41 CET LOG: record with zero length at 0/11D47E4 2009-11-30 13:39:41 CET LOG: redo is not required 2009-11-30 13:39:41 CET LOG: autovacuum launcher started 2009-11-30 13:39:41 CET LOG: database system is ready to accept connections 2009-11-30 13:39:42 CET LOG: server process (PID 2296) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:42 CET LOG: terminating any other active server processes 2009-11-30 13:39:42 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:42 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:41 CET 2009-11-30 13:39:42 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:42 CET LOG: record with zero length at 0/11D4828 2009-11-30 13:39:42 CET LOG: redo is not required 2009-11-30 13:39:42 CET LOG: autovacuum launcher started 2009-11-30 13:39:42 CET LOG: database system is ready to accept connections 2009-11-30 13:39:42 CET LOG: server process (PID 2304) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:42 CET LOG: terminating any other active server processes 2009-11-30 13:39:42 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:42 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:42 CET 2009-11-30 13:39:42 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:42 CET LOG: record with zero length at 0/11D486C 2009-11-30 13:39:42 CET LOG: redo is not required 2009-11-30 13:39:43 CET LOG: autovacuum launcher started 2009-11-30 13:39:43 CET LOG: database system is ready to accept connections 2009-11-30 13:39:43 CET LOG: server process (PID 2312) was terminated by signal 11: Segmentation fault 2009-11-30 13:39:43 CET LOG: terminating any other active server processes 2009-11-30 13:39:43 CET LOG: all server processes terminated; reinitializing 2009-11-30 13:39:43 CET LOG: database system was interrupted; last known up at 2009-11-30 13:39:42 CET 2009-11-30 13:39:43 CET LOG: database system was not properly shut down; automatic recovery in progress 2009-11-30 13:39:43 CET LOG: record with zero length at 0/11D48B0 2009-11-30 13:39:43 CET LOG: redo is not required 2009-11-30 13:39:43 CET LOG: autovacuum launcher started 2009-11-30 13:39:43 CET LOG: database system is ready to accept connections [fail] So what happened and what can I do to solve this? Thanks for replies

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• WBadmin script to backup System State into another partition failed ?

  - by Albert Widjaja

  Hi Everyone, I tried numerous time but it is still failed like the following script on cmd prompt. Is there any way to create automated script to backup system state on my Windows Server 2008 using WBAdmin into D drive inside a directory ? any help would be greatly appreciated. C:\Users\Administratorwbadmin START SYSTEMSTATEBACKUP -backuptarget:D:\Admin\Backup wbadmin 1.0 - Backup command-line tool (C) Copyright 2004 Microsoft Corp. Starting System State Backup [12/02/2011 4:22 AM] Retrieving volume information... This would backup the system state from volume(s) SYS(C:) to D:\Admin\Backup. Do you want to start the backup operation? [Y] Yes [N] No Y ERROR - Specified backup location could not be found. C:\Users\Administratorwbadmin START SYSTEMSTATEBACKUP -backuptarget:D:\Admin wbadmin 1.0 - Backup command-line tool (C) Copyright 2004 Microsoft Corp. Starting System State Backup [12/02/2011 4:22 AM] Retrieving volume information... This would backup the system state from volume(s) SYS(C:) to D:\Admin. Do you want to start the backup operation? [Y] Yes [N] No Y ERROR - Specified backup location could not be found. C:\Users\Administratorwbadmin START SYSTEMSTATEBACKUP -backuptarget:"D:\Admin\Backup" -quiet wbadmin 1.0 - Backup command-line tool (C) Copyright 2004 Microsoft Corp. Starting System State Backup [12/02/2011 4:23 AM] Retrieving volume information... This would backup the system state from volume(s) SYS(C:) to D:\Admin\Backup. ERROR - Specified backup location could not be found. C:\Users\Administratorwbadmin START SYSTEMSTATEBACKUP -backuptarget:D:\ -quiet wbadmin 1.0 - Backup command-line tool (C) Copyright 2004 Microsoft Corp. Starting System State Backup [12/02/2011 4:23 AM] Retrieving volume information... This would backup the system state from volume(s) SYS(C:) to D:. ERROR - Specified backup location could not be found. C:\Users\Administrator

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• dojo.xhrPost and Zend Framwork action, no POST data, not using a form

  - by sims

  Hi all, I'm trying to send some data via dojo.xhrPost to an Zend Controller Action. I can see the data being sent in Firebug console. However, when inspecting the post data, the array is empty. I'm not sure if it is possible to send an arbitrary string of data via dojo.xhrPost without using a form. This is probably a very n00b mistake. In any case, I'll post my code here and see what you all think. In my layout script I have: <?php $sizeurl = $this->baseUrl() . '/account/uisize'; ?> function resizeText(multiplier) { if (document.body.style.fontSize == "") { document.body.style.fontSize = "1.0em"; } document.body.style.fontSize = parseFloat(document.body.style.fontSize) + (multiplier * 0.1) + "em"; var size = document.body.style.fontSize; var xhrArgs = { url: "<?= $sizeurl; ?>", postData: size, handleAs: "text" } dojo.xhrPost(xhrArgs); } Then my action is: public function uisizeAction() { $this->_helper->viewRenderer->setNoRender(); $this->_helper->layout->disableLayout(); print_r($_POST); $request = $this->getRequest(); if ($request->isXmlHttpRequest()) { $postdata = $request->getPost(); print_r($postdata); if ($postdata) { $user = new Application_Model_DbTable_User(); $user->updateSize($postdata); } } } I'm pretty sure that post data from a form is an array with the form elements' names as the keys. When looking at the dojo.xhrPost examples on the dojo campus web site (http://docs.dojocampus.org/dojo/xhrPost second one to be precise), it looks as if I can just send a string of data. How do I access this data from a Zend Controller Action? I'm using ZF 1.10 and Dojo 1.4.2 Thanks for your help! PS I'd try to ask on one of the related questions, but I cannot seem to comment.

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• How can I encrypt CoreData contents on an iPhone

  - by James A. Rosen

  I have some information I'd like to store statically encrypted on an iPhone application. I'm new to iPhone development, some I'm not terribly familiar with CoreData and how it integrates with the views. I have the data as JSON, though I can easily put it into a SQLITE3 database or any other backing data format. I'll take whatever is easiest (a) to encrypt and (b) to integrate with the iPhone view layer. The user will need to enter the password to decrypt the data each time the app is launched. The purpose of the encryption is to keep the data from being accessible if the user loses the phone. For speed reasons, I would prefer to encrypt and decrypt the entire file at once rather than encrypting each individual field in each row of the database. Note: this isn't the same idea as Question 929744, in which the purpose is to keep the user from messing with or seeing the data. The data should be perfectly transparent when in use. Also note: I'm willing to use SQLCipher to store the data, but would prefer to use things that already exist on the iPhone/CoreData framework rather than go through the lengthy build/integration process involved.

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• MooTools Event Delegation using HTML5 data attributes.

  - by Anurag

  Is it possible to have event delegation using the HTML5 data attributes in MooTools? The HTML structure I have is: ?<div id="parent"> <div>not selectable</div> <div data-selectable="true">selectable</div> <div>not selectable either.</div> <div data-selectable="true">also selectable</div> </div>???????????????????????????????????????????????????????????????????????? And I want to setup <div id="parent"> to listen to all clicks only on child elements that have the data-selected attribute. Please let me know if I'm doing something wrong: The events are being setup as: $("parent").addEvent("click:relay([data-selectable])", function(event, el) { alert(this.get('text')); }); but the click callback is fired on clicking all div's, not just the ones with a data-selectable attribute defined. You can see this example on http://jsfiddle.net/NUGD4/ A workaround is to adding this as a CSS class, which works with delegation but I would prefer to be able to use data-attributes as it's used throughout the application.

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• Data sharing amongst JPA Entities

  - by Nick

  Setup: I have a simple web app that has a handfull of forms, each on a separate page. These forms represent patient data. There is a one-to-one relationship between patient and all these forms/entities. Each form maps directly to a db table and a JPA entity, maybe not the best architecture but it works and is simple. Question: If form/entity A and form/entity B share a common chunk of data (one of more fields), what is the best way to handle that in JPA. I.E. - If the data gets inserted via form A, I need it to show up in form B as existing data and vice versa. In other words its logical for both entities to contain that data. I believe I will have to move the common data into its own entity and define the relationships that way, but I have tried many different ways and none gets me all the way, at least with basic JPA. Can this be done through pure JPA relationships or will I have to write a bunch of code to make this happen manually. Not looking for code specifically, just the correct way to model this data. Thanks.

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• Google Radar Chart: Not plotting data

  - by Hallik

  Hi. I have different types of data that I have normalized just with base10, so everything is on a 10 point scale. There are two data points, and the legend for them show up fine. All the points around the radar show up fine and so do the labels for them, but I don't see any filled in data. Outside of the labels and axis, the chart is blank. Below is the actual image tag I render, then I split up the variables on each line for easy readability. Anyone mind telling me why it isn't working? <img src="http://chart.apis.google.com/chart?cht=rs&amp;chm=B,3366CC60,0,1.0,5.0|B,CC4D3360,1,1.0,5.0&chs=600x500&chd=t:4.6756775443385,4.7031365524912,1.8646655408171,1.8358167047079,4.2483837215455,4.1367786166752,|5.0319252700625,5.0370797208146,1.8415340693163,1.8591105937857,4.3392150450337,4.1434876641017&chco=3366CC,CC4D33&chls=2.0,4.0,0.0|2.0,4.0,0.0&chxt=x&chxl=0:|Label1|Label2|label3|Label4|Label5|Label6&chxr=0,0.0,10.0&chdl=Data Object 1|Data Object 2&"/> cht=rs& chm=B,3366CC60,0,1.0,5.0|B,CC4D3360,1,1.0,5.0& chs=600x500& chd=t:4.6756775443385,4.7031365524912,1.8646655408171,1.8358167047079,4.2483837215455,4.1367786166752,|5.0319252700625,5.0370797208146,1.8415340693163,1.8591105937857,4.3392150450337,4.1434876641017& chco=3366CC,CC4D33& chls=2.0,4.0,0.0|2.0,4.0,0.0& chxt=x& chxl=0:|Label1|Label2|label3|Label4|Label5|Label6& chxr=0,0.0,10.0& chdl=Data Object 1|Data Object 2& This is the radar chart page, I can't tell what I am doing wrong. http://code.google.com/apis/chart/docs/gallery/radar_charts.html

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• Unit Testing Error - The unit test adapter failed to connect to the data source or to read the data

  - by michael.lukatchik

  I'm using VSTS 2K8 and I've set up a Unit Test Project. In it, I have a test class with a method that does a simple assertion. I'm using an Excel 2007 spreadsheet as my data source. My test method looks like this: [DataSource("System.Data.Odbc", "Dsn=Excel Files;dbq=|DataDirectory|\\MyTestData.xlsx;defaultdir=C:\\TestData;driverid=1046;maxbuffersize=2048;pagetimeout=5", "Sheet1", DataAccessMethod.Sequential)] [DeploymentItem("MyTestData.xlsx")] [TestMethod()] public void State_Value_Is_Set() { string expected = "MD"; string actual = TestContext.DataRow["State"] as string; Assert.AreEqual(expected, actual); } As indicated in the method decoration attributes, my Excel spreadsheet is on my local C:/ Drive. In it, the sheet where all of my data is located is named "Sheet1". I've copied the Excel spreadsheet into my project and I've set its Build Action = "Content" and I've set its Copy to Output Directory = "Copy if Newer". When trying to run this simple unit test, I receive the following error: The unit test adapter failed to connect to the data source or to read the data. For more information on troubleshooting this error, see "Troubleshooting Data-Driven Unit Tests" (http://go.microsoft.com/fwlink/?LinkId=62412) in the MSDN Library. Error details: ERROR [42S02] [Microsoft][ODBC Excel Driver] The Microsoft Office Access database engine could not find the object 'Sheet1'. Make sure the object exists and that you spell its name and the path name correctly. I've verified that the sheet name is spelled correctly (i.e. Sheet1) and I've verified that my data sources are set correctly. Web searches haven't turned up much at all. And I'm totally stumped. All help or input is appreciated!!!!

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• Problems pulling data from NSMutableArray for MapKit?

  - by Graeme

  Hi, I have a class (DataImporter) which has the code to download an RSS feed. I also have a view and separate class (TableView) which displays the data in a UITableView and starts the parsing process, storing parsed information in an NSMutableArray (items). Now I wish to add a UIMapView which displays the items in the items NSMutableArray. I'm struggling to transfer the data into the new class (mapView) to show it in the map - and I preferably don't want to have to create a new class to download the data again for the map. Is there a way I can transfer the information from the NSMutableArray (items) to the mapView? Thanks. Code for viewDidLoad MapKit: Data *data = nil; NSString *ilocation = [data locations]; NSString *ilocation2 = @"New Zealand"; NSString *inewlString; inewlString = [ilocation stringByAppendingString:ilocation2]; NSLog(@"inewlString=%@",inewlString); if(forwardGeocoder == nil) { forwardGeocoder = [[BSForwardGeocoder alloc] initWithDelegate:self]; } // Forward geocode! [forwardGeocoder findLocation: inewlString]; Code for parsing data into NSMutable Array: - (void)beginParsing { NSLog(@"Parsing has begun"); //self.navigationItem.rightBarButtonItem.enabled = NO; // Allocate the array for song storage, or empty the results of previous parses if (incidents == nil) { NSLog(@"Grabbing array"); self.datas = [NSMutableArray array]; } else { [datas removeAllObjects]; [self.tableView reloadData]; } // Create the parser, set its delegate, and start it. self.parser = [[DataImporter alloc] init]; parser.delegate = self; [parser start]; }

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• Elegant Algorithm for Parsing Data Stream Into Record

  - by Matt Long

  I am interfacing with a hardware device that streams data to my app over Wifi. The data is streaming in just fine. The data contains a character header (DATA:) that indicates a new record has begun. The issues is that the data I receive doesn't necessarily fall on the header boundary, so I have to capture the data until what I've captured contains the header. Then, everything that precedes the header goes into the previous record and everything that comes after it goes into a new record. I have this working, but wondered if anyone has done this before and has a good computer-sciencey way to solve the problem. Here's what I do: Convert the NSData of the current read to an NSString Append the NSString to a placeholder string Check placeholder string for the header (DATA:). If the header is not there, just wait for the next read. If the header exists, append whatever precedes it to a previous record placeholder and hand that placeholder off to an array as a complete record that I can further parse into fields. Take whatever shows up after the header and place it in the record placeholder so that it can be appended to in the next read. Repeat steps 3 - 5. Let me know if you see any flaws with this or have a suggestion for a better way. Seems there should be some design pattern for this, but I can't think of one. Thanks.

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• Slow retrieval of data in SQLITE takes a long using ContentProvider

  - by Arlyn

  I have an application in Android (running 4.0.3) that stores a lot of data in Table A. Table A resides in SQLite Database. I am using a ContentProvider as an abstraction layer above the database. Lots of data here means almost 80,000 records per month. Table A is structured like this: String SQL_CREATE_TABLE = "CREATE TABLE IF NOT EXISTS " + TABLE_A + " ( " + COLUMN_ID + " INTEGER PRIMARY KEY NOT NULL" + "," + COLUMN_GROUPNO + " INTEGER NOT NULL DEFAULT(0)" + "," + COLUMN_TIMESTAMP + " DATETIME UNIQUE NOT NULL" + "," + COLUMN_TAG + " TEXT" + "," + COLUMN_VALUE + " REAL NOT NULL" + "," + COLUMN_DEVICEID + " TEXT NOT NULL" + "," + COLUMN_NEW + " NUMERIC NOT NULL DEFAULT(1)" + " )"; Here is the index statement: String SQL_CREATE_INDEX_TIMESTAMP = "CREATE INDEX IF NOT EXISTS " + TABLE_A + "_" + COLUMN_TIMESTAMP + " ON " + TABLE_A + " (" + COLUMN_TIMESTAMP + ") "; I have defined the columns as well as the table name as String Constants. I am already experiencing significant slow down when retrieving this data from Table A. The problem is that when I retrieve data from this table, I first put it in an ArrayList and then I display it. Obviously, this is possibly the wrong way of doing things. I am trying to find a better way to approach this problem using a ContentProvider. But this is not the problem that bothers me. The problem is for some reason, it takes a lot longer to retrieve data from other tables which have only upto 12 records maximum. I see this delay increase as the number of records in Table A increase. This does not make any sense. I can understand the delay if I retrieve data from Table A, but why the delay in retrieving data from other tables. To clarify, I do not experience this delay if Table A is empty or has less than 3000 records. What could be the problem?

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• jQuery.post() issues with passing data to jQuery UI

  - by solefald

  Hello, I am trying to get jQuery.post() to run my php script and then open a jQuery UI dialog with the data that php script returns. Its supposed to come back as a form with a table and a textarea in it. It works great with alert(data); and i get a pop-up with all my data. The problem starts if i turn off alert(). Now it opens 2 dialogs. One containing only the table, without textarea, and the second one absolutely empty. What am i doing wrong here? How come all my data shows up in the alert(), but not in dialog? What do i need to do to fix it? Oh, and do i need to also include $.ajax() before the $.post()? Thank you. $.post("/path/to/script.php", { id: this.id, value: value }, function(data){ // THIS WORKS //alert(data); // THIS DOES NOT WORK $(data).dialog({ autoOpen: true, width: 400, modal: true, position: 'center', resizable: false, draggable: true, title: 'Pending Changes' }); } );

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