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  • How can I use Spring Security without sessions?

    - by Jarrod
    I am building a web application with Spring Security that will live on Amazon EC2 and use Amazon's Elastic Load Balancers. Unfortunately, ELB does not support sticky sessions, so I need to ensure my application works properly without sessions. So far, I have setup RememberMeServices to assign a token via a cookie, and this works fine, but I want the cookie to expire with the browser session (e.g. when the browser closes). I have to imagine I'm not the first one to want to use Spring Security without sessions... any suggestions?

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  • Lucene search taking TOOO long.

    - by Josh Handel
    I;m using Lucene.net (2.9.2.2) on a (currently) 70Gig index.. I can do a fairly complicated search and get all the document IDs back in 1 ~ 2 seconds.. But to actually load up all the hits (about 700 thousand in my test queries) takes 5+ minutes. We aren't using lucene for UI, this is a datastore between processes where we have hundreds of millions of pre-cached data elements, and the part I am working on exports a few specific fields from each found document. (ergo, pagination doesn't make since as this is an export between processes). My question is what is the best way to get all of the documents in a search result? currently I am using a custom collector that does a get on the document (with a MapFieldSelector) as its collecting.. I've also tried iterating through the list after the collector has finished.. but that was even worse. I'm open to ideas :-). Thanks in advance.

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  • How to get bearable 2D and 3D performance on AMD Radeon HD 6950?

    - by l0b0
    I have had an AMD Radeon HD 6950 (i.e., Cayman series) for a couple years now, and I have tried a lot of combinations of drivers and settings with terrible results. I'm completely at a loss as to how to proceed. The open source driver has much better 2D performance, but it offloads all OpenGL rendering to the CPU. What I've tried so far: All the latest stable Ubuntu releases in the period, plus one Linux Mint release. All the latest stable AMD Catalyst Proprietary Display Drivers, and currently 13.1. The unofficial wiki installation instructions for every Ubuntu version and the semi-official Ubuntu instructions. All the tips and tweaks I could find for Minecraft (Optifine, reducing settings to minimum), VLC (postprocessing at minimum, rendering at native video size), Catalyst Control Center (flipped every lever in there) and X11 (some binary toggles I can no longer remember). Results: Typically 13-15 FPS in Minecraft, 30 max (100+ in Windows with the same driver version). Around 10 FPS in Team Fortress 2 using the official Steam client. Choppy video playback, in Flash and with VLC. CPU use goes through the roof when rendering video (150% for 1080p on YouTube in Chromium, 100% for 1080p H264 in VLC). glxgears shows 12.5 FPS when maximized. fgl_glxgears shows 10 FPS when maximized. Hardware details from lshw: Motherboard ASUS P6X58D-E CPU Intel Core i7 CPU 950 @ 3.07GHz (never overclocked; 64 bit) 6 GB RAM Video card product "Cayman PRO [Radeon HD 6950]", vendor "Hynix Semiconductor (Hyundai Electronics)" 2 x 1920x1200 monitors, both connected with HDMI. I feel I must be missing something absolutely fundamental here. Is there no accelerated support for anything on 64-bit architectures? Does a dual monitor completely mess up the driver? $ fglrxinfo display: :0 screen: 0 OpenGL vendor string: Advanced Micro Devices, Inc. OpenGL renderer string: AMD Radeon HD 6900 Series OpenGL version string: 4.2.11995 Compatibility Profile Context $ glxinfo | grep 'direct rendering' direct rendering: Yes I am currently using the open source driver, with the following results: Full frame rate and low CPU load when playing 1080p video. Black screen (but music in the background) in Team Fortress 2. Similar performance in Minecraft as the Catalyst driver. In hindsight obvious, since both end up offloading the rendering to the CPU. My /var/log/Xorg.0.log after upgrading to AMD Catalyst 13.1. Some possibly important lines: (WW) Falling back to old probe method for fglrx (WW) fglrx: No matching Device section for instance (BusID PCI:0@3:0:1) found The generated xorg.conf. The disabled "monitor" 0-DFP9 is actually an A/V receiver, which sometimes confuses the monitor drivers when turned on/off (but not in Windows). All three "monitor" devices are connected with HDMI. Edit: Chris Carter's suggestion to use the xorg-edgers PPA (Catalyst 13.1) resulted in some improvement, but still pretty bad performance overall: Minecraft stabilizes at 13-17 FPS, but at least the CPU load is "only" at 45-60%. Still 150% CPU use for 1080p video rendering on YouTube in Chromium. Massive improvement for 1080p H264 in VLC: 40-50% CPU use and no visible jitter glxgears performance about doubled to 25-30 FPS when maximized. fgl_glxgears still at ~10 FPS when maximized.

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  • .NET Form_load priority

    - by mtranda
    So, the problem is such as this: I have a method that does stuff and updates a progress bar. If I call the method after the form is fully loaded (i.e.: by assigning it to a button on the form) everything works fine. The problem is that I need the method to start working as soon as the form loads, by itself, so I would place it in the Form_Load method. The problem is that even though I call Application.DoEvents() right before calling that method from within Form_Load, the form doesn't show up until the method has completed everything. As I said, if I let the form load first and call the method from another UI element for instance, everything works fine. Thanks in advance.

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  • Should I typecast in PHP when defining my vars?

    - by Borislav
    I am sorry if this is more of a theory question then a real life problem but it is a real life situation for me. We were commenting on the way PHP works with vars and how memory heavy it is on the server due to its "mixed vars" and something occured to me - why not typecast right from the start? So I guess my quesion is: Whould it make any difference for the server load if all you PHP vars were"pre-casted"? Example: protected $_id; VS protected (int) $_id;

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  • activemq round robin between queues or topics

    - by forkit
    I'm trying to achieve load balancing between different types of messages. I would not know in advance what the messages coming in might be until they hit the queue. I know I can try resequencing the messages, but I was thinking that maybe if there was a way to have the various consumers round robin between either queues or between topics, this would solve my problem. The main problem i'm trying to solve is that I have many services sending messages to one queue with many consumers feeding off one queue. I do not want one type of service monopolizing the entire worker cluster. Again I don't know in advance what the messages that are going to hit the queue are going to be. To try to clearly repeat my question: Is there a way to tell the consumers to round robin between either existing queues or topics? Thank you in advance.

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  • SQL Server Mutliple Joins Taxing CPU

    - by durilai
    I have a stored procedure on SQL server 2005. It is pulling from a Table function, and has two joins. When the query is run using a load test it kills the CPU 100% across all 16 cores! I have determined that removing one of the joins makes the query run fine, but both taxes the CPU. Select SKey From dbo.tfnGetLatest(@ID) a left join [STAGING].dbo.RefSrvc b on a.LID = b.ESIID left join [STAGING].dbo.RefSrvc c on a.EID = c.ESIID Any help is appreciated, note the join is happening on the same table in a different database on the same server.

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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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  • Is there a C# open-source search app which scales cheaply?

    - by domspurling
    I need to quickly replace a listings website which has the following characteristics: smallish database (10,000 items, < 1GB) < 10% of the items updated/created/removed daily most common activity is searching the whole dataset, returning 1-1000 items traffic peaks at 1m page impressions per day Scaling strategy for the existing app has been to separate read-only and read/write activity. Multiple slave databases are used for searching and writes are done to a master, which update the slaves using MS SQL replication. Since read activity is more common than write, this has proved to be a cheap way to do database load balancing, without true clustering. I now need to replace the app - are there any C# open-source apps which scale as neatly as this?

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  • HTML Chrome Audit Specify Image Dimensions

    - by AKRamkumar
    I just started using the chrome developer tools for some basic html websites and I used the audit tool. I had two identical images, one with the height and width attribute, and one without. On the Resources section, both the latency and the download time were identical. However, the Audit showed Specify image dimensions (1) A width and height should be specified for all images in order to speed up page display. Does this actually help? And are there any other ways to speed up page time? This is only a splash page for the website I am building and as such it is only html, no css or javascript or anything. I have already compressed the images but I want to speed up load time even more. Is there a way?

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  • Administer, manage, monitor, and fine tune the performance of your Oracle SOA Suite 11g Service Infrastructure and SOA composite applications.

    - by JuergenKress
    Key Features of the book If you are an Oracle SOA suite administrator, then this book is your bible. It gives you everything you need to know about all your tasks and help you to apply what you learn in your everyday life right from the first chapter. The book walks through promoting code across environments, performance tuning the service infrastructure, monitoring the environment, configuring security policies, managing the dehydration store, backing and restoring environments and so on. Packed with real-world examples from authors' own experiences, this books offers a unique insight into Oracle SOA Suite Administration. Detailed description The book begins with an introduction of SOA and quickly moves on to management of SOA composite applications. Readers will learn how to manage composite applications, their deployments and lifecycles. Equipped with this knowledge, readers will be introduced to monitoring and performance tuning SOA Suite, monitoring instances, messages, and composite applications, managing faults and exceptions, configuring audit levels of composite applications to include end-to-end monitoring through the use of extended logging as well as administering and configuring all SOA Suite components. A very important aspect of administration is tuning and optimizing the infrastructure for performance and book offers real work recommendations to monitor and performance tune service engines, the underlying WebLogic server, threads and timeouts, files systems, and composite applications. It also covers detailed administration of individual service components, configuring the infrastructure MBeans using both Oracle Enterprise Manager Fusion Middleware Control and WLST based scripts, migrating worklist preferences and BAM data across environments, setting up Email, LDAP and custom XPath. An administrator is always trusted with troubleshooting and root causing problems in the infrastructure and this book will help you through the troubleshooting approaches as how to identify faults and exception through extended logging and thread dumps and find solutions to common startup problems and deployment issues. The advanced contents of this book explains OWSM security framework and how to secure components deployed to the infrastructure along with the details of all groundwork needed to ready the environment. Last few chapters help you to understand and deal with managing the metadata services repository and dehydration store, backup and recovery and concluding with advanced topics such as silent/scripted installations, cloning, upgrading, patching and high availability installations. Packed with real-world examples, and tips straight from the trench; this book offers insights into SOA Suite administration that you will not find elsewhere. Part of our writing style in this book draws heavily on the philosophy of reuse and as such the book provide an ample of executable SQL queries and WLST scripts that administrators can reuse and extend to perform most of the administration tasks such as monitoring instances, processing times, instance states and perform automatic deployments, tuning, migration, and installation. These scripts are spread over each of the chapters in the book and can also be downloaded from here. The book is available in different formats at the following websites: Paperback and eBook versions & Kindle version. It is available for order and signed copies are available through our web site. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: SOA book,SOA Suite Adminsitration,SOA Community,Oracle SOA,Oracle BPM,Community,OPN,Jürgen Kress

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  • Listview Cancel/Update causes Failed Veiwstate Error

    - by ChiliYago
    I am utilizing a asp.net Listview control which is causing a Failed to load viewstate error after a row is put in edit mode and the user clicks either update or cancel. The ListView control is in an ascx User control that is hosted in a parent aspx page. The parent aspx code-behind calls the a bind method on the ascx page which in turn binds the ListView. I am trying to isolate where and how this is happening but have not had any success and frankly I am out of ideas. Please offer some suggestions on what I should be looking at. Thank you.

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  • SQL Server Multiple Joins Are Taxing The CPU

    - by durilai
    I have a stored procedure on SQL Server 2005. It is pulling from a Table function, and has two joins. When the query is run using a load test it kills the CPU 100% across all 16 cores! I have determined that removing one of the joins makes the query run fine, but both taxes the CPU. Select SKey From dbo.tfnGetLatest(@ID) a left join [STAGING].dbo.RefSrvc b on a.LID = b.ESIID left join [STAGING].dbo.RefSrvc c on a.EID = c.ESIID Any help is appreciated, note the join is happening on the same table in a different database on the same server.

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  • MySQL query cache vs caching result-sets in the application layer

    - by GetFree
    I'm running a php/mysql-driven website with a lot of visits and I'm considering the possibility of caching result-sets in shared memory in order to reduce database load. However, right now MySQL's query cache is enabled and it seems to be doing a pretty good job since if I disable query caching, the use of CPU jumps to 100% immediately. Given that situation, I dont know if caching result-sets (or even the generated HTML code) locally in shared memory with PHP will result in any noticeable performace improvement. Does anyone out there have any experience on this matter? PS: Please avoid suggesting heavy-artillery solutions like memcached. Right now I'm looking for simple solutions that dont require too much time to implement, deploy and maintain.

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  • Two versions of same asp.net app using same server as stateserver - bad?

    - by MGOwen
    We have 2 production web servers for our web app, load balanced to handle lots of traffic. We also have a similar setup for testing. Test pool: [TEST 1]---[TEST 2] Prod pool: [PROD 1]---[PROD 2] When comparing the Web.Config of the app versions (test vs live) I discovered something surprising: both pools have the same value for stateConnectionString. If I understand right, this means they are using the same state server: <sessionState mode="StateServer" stateConnectionString="tcpip=123.123.123.123:42424" cookieless="false" timeout="30"/> Is this a problem? (How does the state server not confuse the two pools)? I was having odd only-sometimes slowdown/errors on the test server, that's why I was looking at this in the first place, but the prod pool runs fine...

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  • Standard Network Tiers in a Distributed N-Tier System

    Distributed N-Tier client/server architecture allows for segments of an application to be broken up and distributed across multiple locations on a network.  Listed below are standard tiers in a Distributed N-Tier System. End-User Client Tier The End-User Client is responsible for sending and receiving requests from web servers and other applications servers and translating the responses so that the End-User can interpret the data effectively. The primary roles for this tier are to communicate with servers and translate server responses back to the end-user to interpret. Business-Specific Functions Validate Data Display Data Send Data to Webserver Web Server Tier The Web server tier processes new requests for information coming in from the HTTP and HTTPS ports. This primarily handles the generation of user interfaces and calls the application server when needed to access Data and business logic when needed. Business-specific functions Send Data to application server Format Data for Display Validate Data Application Server Tier The application server stores and executes predefined business logic that is applied to various pieces of data as the business determines. The processed data is then returned back to the Webserver. Additionally, this server directly calls the database to obtain and store any data used by the system Business-Specific Functions Validate Data Process Data Send Data to Database Server Database Server Tier The Database Server is responsible for storing and returning all data need by the calling applications. The primary role for this this server is storage. Data is stored as needed and can be recalled at any point later in time. Business-Specific Functions Insert Data Delete Data Return Data to Application Server

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  • php mysql database users connection handling

    - by aviv
    What is the best way to handle mysql database users connection in PHP? I have a web server running a PHP application on MySQL. I have created a database user for the application: dbuser1 with limited access - only for query, insert and update tables. No alter table. Now the question is, should i use the same dbuser1 widely in my scripts, so if there are 100 current people using my system and hence 100 scripts running parallel they all connect to the database with the same dbuser1? or should i create a few users and assign each script a different user or load-balance between the dbusers ?

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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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  • Is Work Stealing always the most appropriate user-level thread scheduling algorithm?

    - by Il-Bhima
    I've been investigating different scheduling algorithms for a thread pool I am implementing. Due to the nature of the problem I am solving I can assume that the tasks being run in parallel are independent and do not spawn any new tasks. The tasks can be of varying sizes. I went immediately for the most popular scheduling algorithm "work stealing" using lock-free deques for the local job queues, and I am relatively happy with this approach. However I'm wondering whether there are any common cases where work-stealing is not the best approach. For this particular problem I have a good estimate of the size of each individual task. Work-stealing does not make use of this information and I'm wondering if there is any scheduler which will give better load-balancing than work-stealing with this information (obviously with the same efficiency). NB. This question ties up with a previous question.

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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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  • What can cause a double page request?

    - by johnnietheblack
    I am currently investigating a double request problem on my site. Not all the time, but sometimes, a requested page will in fact load twice...which is not a problem really until it is on a page with PHP that inserts stuff into my db on request (my tracking script). I have read that an empty src in an image tag, and an empty url() in a css background could potentially cause the page to be requested twice. However, I can't find any problems with those. Is there anything else that could be causing something like this?

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  • SQL Server Express 2008 Stored Procedure execution time spikes periodically

    - by user156241
    I have a big stored procedure on a SQL Server 2008 Express SP2 database that gets run about every 200 ms. Normal execution time is about 50ms. What I am seeing is large inconsistencies in this run time. It will execute for while, say 50-100 times at 40-60ms which is expected, then seemingly at random the same stored procedure will take way longer, say 900ms or 1.5 seconds to run. Sometimes more than one call of the same procedure in a row will take longer too. It appears that something is causing sql server to slow down dramatically every minute or so, but I can't figure out what. There is no timing pattern between the occurences. I have the same setup on two different computers, one of which is a clean XP Pro load with no virus checking and nothing installed except SQL server. Also, The recovery options for all the databases are set to "Simple".

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  • Should I go with Varnish instead of nginx?

    - by gotts
    I really like nginx. But recently I've found that varnish gives you an opportunity to implement smart caching revers proxy layer(with URL purging). I have a cluster of mongrels which are pretty resource-intensive so if this caching layer can remove some load from mongrels this can be a great thing. I didn't find a way to implement the caching layer(with for application pages; static content is cacheable of course) same with nginx.. Should I use Varnish instead? What would you recommend?

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  • How to do some preformance testing in asp.net mvc?

    - by chobo2
    Hi I am using asp.net mvc 2.0 and I want to test how long it takes to do some of my code. In one senario I do this load xml file up. validate xml file and deserailze. validate all rows in the xml file with more advanced validation that cannot be done in the schema validation. then I do a bulk insert. I want to know how long steps 1 to 3 take and how long step 4 takes. I tried to do like DateTime.UtcNow in areas and subtract them but it told me it took like 3 seconds but I know that is not right as steps 1 to 4 take 2mins to do.

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  • C# property in a form class only accessable after formload event

    - by Spooky2010
    using vs2008, c# Howdy, Im instantiating and calling Form B from Form A. FormB has some custom properties, to allow me to pass it things like sqlAdaptors and dataset instances. When i instantiate and show Form B from Form A as a dialog form with a Using statement, it all works fine, but i find the properties i pass are not available in Form B until after the form_load event has fired. I was under the impression the properties when passed to a instantiated class should be available from a constructor, but this is not the case. If it try to access the properties before the form load event i get a null reference exception. Is this correct behavior ? It is very annoying. thanks for any help

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