Search Results

Search found 908 results on 37 pages for 'optimistic concurrency'.

Page 8/37 | < Previous Page | 4 5 6 7 8 9 10 11 12 13 14 15  | Next Page >

  • Linq sql Attach, Update Check set to Never, but still Concurrency conflicts

    - by remdao
    In the dbml designer I've set Update Check to Never on all properties. But i still get an exception when doing Attach: "An attempt has been made to Attach or Add an entity that is not new, perhaps having been loaded from another DataContext. This is not supported." This approach seems to have worked for others on here, but there must be something I've missed. using(TheDataContext dc = new TheDataContext()) { test = dc.Members.FirstOrDefault(m => m.fltId == 1); } test.Name = "test2"; using(TheDataContext dc = new TheDataContext()) { dc.Members.Attach(test, true); dc.SubmitChanges(); }

    Read the article

  • Controlling azure worker roles concurrency in multiple instance

    - by NER1808
    I have a simple work role in azure that does some data processing on an SQL azure database. The worker basically adds data from a 3rd party datasource to my database every 2 minutes. When I have two instances of the role, this obviously doubles up unnecessarily. I would like to have 2 instances for redundancy and the 99.95 uptime, but do not want them both processing at the same time as they will just duplicate the same job. Is there a standard pattern for this that I am missing? I know I could set flags in the database, but am hoping there is another easier or better way to manage this. Thanks

    Read the article

  • handling Concurrency in SQL SERVER 2005

    - by sameer
    Hi, I have one question for you, if you can answer and refer resource it will be great help. I have a scenario where i need to create a appointment slot and a serial no for each slot memberwise. ex: Member Id |App Slot # 1|1 1|2 2|1 2|2 1|3 what im doing is take the Max slot number,increamenting it and insert it memberwise. but the problem is concurrent user can create a slot when i take the max slot after that if any other user insert the slot the value that im working with is no more valid, how to over come this problem Thanks & Regards, Sameer

    Read the article

  • Can in-memory SQLite databases scale with concurrency?

    - by Kent Boogaart
    In order to prevent a SQLite in-memory database from being cleaned up, one must use the same connection to access the database. However, using the same connection causes SQLite to synchronize access to the database. Thus, if I have many threads performing reads against an in-memory database, it is slower on a multi-core machine than the exact same code running against a file-backed database. Is there any way to get the best of both worlds? That is, an in-memory database that permits multiple, concurrent calls to the database?

    Read the article

  • ZeroMQ REQ/REP on ipc:// and concurrency

    - by Metiu
    I implemented a JSON-RPC server using a REQ/REP 0MQ ipc:// socket and I'm experiencing strange behavior which I suspect is due to the fact that the ipc:// underlying unix socket is not a real socket, but rather a single pipe. From the documentation, one has to enforce strict zmq_send()/zmq_recv() alternation, otherwise the out-of-order zmq_send() will return an error. However, I expected the enforcement to be per-client, not per-socket. Of course with a Unix socket there is just one pipeline from multiple clients to the server, so the server won't know who it is talking with. Two clients could zmq_send() simultaneously and the server would see this as an alternation violation. The sequence could be: ClientA: zmq_send() ClientB: zmq_send() : will it block until the other send/receive completes? will it return -1? (I suspect it will with ipc:// due to inherent low-level problems, but with TCP it could distinguish the two clients) ClientA: zmq_recv() ClientB: zmq_recv() so what about tcp:// sockets? Will it work concurrently? Should I use some other locking mechanism to work around this?

    Read the article

  • Creating a WCF Restful service, concurrency issues

    - by pmillio
    Hi i am in the process of creating a restful service with WCF, the service is likely to be consumed by at least 500 people at any given time. What settings would i need to set in order to deal with this. Please give me any points and tips, thanks. Here is a sample of what i have so far; [ServiceBehavior(IncludeExceptionDetailInFaults = true, InstanceContextMode = InstanceContextMode.Single, ConcurrencyMode = ConcurrencyMode.Multiple)] And this is an example of a method being called; public UsersAPI getUserInfo(string UserID) { UsersAPI users = new UsersAPI(int.Parse(UserID)); return users; } [OperationContract] [WebGet(BodyStyle = WebMessageBodyStyle.Bare, ResponseFormat = WebMessageFormat.Json, UriTemplate = "User/{UserID}")] [WebHelp(Comment = "This returns a users info.")] UsersAPI getUserInfo(string UserID);

    Read the article

  • Python sqlite3 and concurrency

    - by RexE
    I have a Python program that uses the "threading" module. Once every second, my program starts a new thread that fetches some data from the web, and stores this data to my hard drive. I would like to use sqlite3 to store these results, but I can't get it to work. The issue seems to be about the following line: conn = sqlite3.connect("mydatabase.db") If I put this line of code inside each thread, I get an OperationalError telling me that the database file is locked. I guess this means that another thread has mydatabase.db open through a sqlite3 connection and has locked it. If I put this line of code in the main program and pass the connection object (conn) to each thread, I get a ProgrammingError, saying that SQLite objects created in a thread can only be used in that same thread. Previously I was storing all my results in CSV files, and did not have any of these file-locking issues. Hopefully this will be possible with sqlite. Any ideas?

    Read the article

  • Node.js or Erlang

    - by gotts
    I really like these tools when it comes to the concurrency level it can handle. Erlang looks like much more stable solution but requires much more learning and a lot of diving into functional language paradigm. And it looks like Erlang makes it much better when it comes to multi cores CPUs(fix me if I'm wrong). But which should I choose? Which one is better in the short/long term perspective?

    Read the article

  • Embeddable database better than SQLite for java

    - by dexter
    I am creating a web application that is accessing a SQLite database in the server. I also have "clients" that updates this same database. As we know SQLite locks the entire database during INSERTs which are done by the clients and the web application is also trying to make some UPDATEs at the same time. So my problem now is about concurrency in database access. I would like to use an embeddable database like SQLite. Any suggestions.

    Read the article

  • Best (or appropriate) WSGI server for this Python script? - Python

    - by RadiantHex
    Hi folks, I'm having quite a problem deciding how to serve a few Python scripts. The problem is that the basic functionality could be generalized by this: do_something() time.sleep(3) do_something() I tried various WSGI servers, but they have all been giving me concurrency limitations, as in I have to specify how many threads to use and so on. I only wish that the resources on the server be used efficiently and liberally. Any ideas?

    Read the article

  • Is there possible in clojure to make a deadlock (or anything bad case) using agents?

    - by hsestupin
    CLojure agents is powerful tool. So actions to the agents are asynchronously sent using functions "send" and "send-off". And in theory there couldn't appear something like deadlock. Is there possible to write some clojure code (for example invoking from some action another action to another agent) using agents in which we have some concurrency problem - it could be deadlock, race condition or anything else. (guys, i'm very sorry for my english)

    Read the article

  • How should I handle persistence in a Java MUD? OptimisticLockException handling

    - by Chase
    I'm re-implementing a old BBS MUD game in Java with permission from the original developers. Currently I'm using Java EE 6 with EJB Session facades for the game logic and JPA for the persistence. A big reason I picked session beans is JTA. I'm more experienced with web apps in which if you get an OptimisticLockException you just catch it and tell the user their data is stale and they need to re-apply/re-submit. Responding with "try again" all the time in a multi-user game would make for a horrible experience. Given that I'd expect several people to be targeting a single monster during a fight I think the chance of an OptimisticLockException would be high. My view code, the part presenting a telnet CLI, is the EJB client. Should I be catching the PersistenceExceptions and TransactionRolledbackLocalExceptions and just retrying? How do you decide when to stop? Should I switch to pessimistic locking? Is persisting after every user command overkill? Should I be loading the entire world in RAM and dumping the state every couple of minutes? Do I make my session facade a EJB 3.1 singleton which would function as a choke point and therefore eliminating the need to do any type of JPA locking? EJB 3.1 singletons function as a multiple reader/single writer design (you annotate the methods as readers and writers). Basically, what is the best design and java persistence API for highly concurrent data changes in an application where it is not acceptable to present resubmit/retry prompts to the user?

    Read the article

  • How to do concurrent modification testing for grails application

    - by werner5471
    I'd like to run tests that simulate users modifying certain data at the same time for a grails application. Are there any plug-ins / tools / mechanisms I can use to do this efficiently? They don't have to be grails specific. It should be possible to fire multiple actions in parallel. I'd prefer to run the tests on functional level (so far I'm using Selenium for other tests) to see the results from the user perspective. Of course this can be done in addition to integration testing if you'd recommend to run concurrent modification tests on integration level as well.

    Read the article

  • How do I avoid a race condition in my Rails app?

    - by Cathal
    Hi, I have a really simple Rails application that allows users to register their attendance on a set of courses. The ActiveRecord models are as follows: class Course < ActiveRecord::Base has_many :scheduled_runs ... end class ScheduledRun < ActiveRecord::Base belongs_to :course has_many :attendances has_many :attendees, :through => :attendances ... end class Attendance < ActiveRecord::Base belongs_to :user belongs_to :scheduled_run, :counter_cache => true ... end class User < ActiveRecord::Base has_many :attendances has_many :registered_courses, :through => :attendances, :source => :scheduled_run end A ScheduledRun instance has a finite number of places available, and once the limit is reached, no more attendances can be accepted. def full? attendances_count == capacity end attendances_count is a counter cache column holding the number of attendance associations created for a particular ScheduledRun record. My problem is that I don't fully know the correct way to ensure that a race condition doesn't occur when 1 or more people attempt to register for the last available place on a course at the same time. My Attendance controller looks like this: class AttendancesController < ApplicationController before_filter :load_scheduled_run before_filter :load_user, :only => :create def new @user = User.new end def create unless @user.valid? render :action => 'new' end @attendance = @user.attendances.build(:scheduled_run_id => params[:scheduled_run_id]) if @attendance.save flash[:notice] = "Successfully created attendance." redirect_to root_url else render :action => 'new' end end protected def load_scheduled_run @run = ScheduledRun.find(params[:scheduled_run_id]) end def load_user @user = User.create_new_or_load_existing(params[:user]) end end As you can see, it doesn't take into account where the ScheduledRun instance has already reached capacity. Any help on this would be greatly appreciated.

    Read the article

  • Apache doesn't run multiple requests

    - by Reinderien
    I'm currently running this simple Python CGI script to test rudimentary IPC: #!/usr/bin/python -u import cgi, errno, fcntl, os, os.path, sys, time print("""Content-Type: text/html; charset=utf-8 <!doctype html> <html lang="en"> <head> <meta charset="utf-8" /> <title>IPC test</title> </head> <body> """) ftempname = '/tmp/ipc-messages' master = not os.path.exists(ftempname) if master: fmode = 'w' else: fmode = 'r' print('<p>Opening file</p>') sys.stdout.flush() ftemp = open(ftempname, fmode) print('<p>File opened</p>') if master: print('<p>Operating as master</p>') sys.stdout.flush() for i in range(10): print('<p>' + str(i) + '</p>') sys.stdout.flush() time.sleep(1) ftemp.close() os.remove(ftempname) else: print('<p>Operating as a slave</p>') ftemp.close() print(""" </body> </html>""") The 'server-push' portion works; that is, for the first request, I do see piecewise updates. However, while the first request is being serviced, subsequent requests are not started, only to be started after the first request has finished. Any ideas on why, and how to fix it? Edit: I see the same non-concurrent behaviour with vanilla PHP, running this: <!doctype html> <html lang="en"> <!-- $Id: $--> <head> <meta charset="utf-8" /> <title>IPC test</title> </head> <body> <p> <?php function echofl($str) { echo $str . "</b>\n"; ob_flush(); flush(); } define('tempfn', '/tmp/emailsync'); if (file_exists(tempfn)) $perms = 'r+'; else $perms = 'w'; assert($fsync = fopen(tempfn, $perms)); assert(chmod(tempfn, 0600)); if (!flock($fsync, LOCK_EX | LOCK_NB, $wouldblock)) { assert($wouldblock); $master = false; } else $master = true; if ($master) { echofl('Running as master.'); assert(fwrite($fsync, 'content') != false); assert(sleep(5) == 0); assert(flock($fsync, LOCK_UN)); } else { echofl('Running as slave.'); echofl(fgets($fsync)); } assert(fclose($fsync)); echofl('Done.'); ?> </p> </body> </html>

    Read the article

  • proper concurrent users estimation case studies

    - by golemwashere
    I've been asked to size a web architecture for an excessive number of concurrent users ( hundreds of thousands ). I'm having a hard time convincing these people that unless you are in the top 5 of your country websites it's quite hard to hit those numbers. Can anyone provide some real world case studies providing stats for total / concurrent users explaining what is the usual ratio between total vs concurrent?

    Read the article

  • Where is the bottleneck?

    - by jsymon
    There is a limit on connections somewhere along the line here... On a windows server 2008 machine, each request to a url running on localhost takes ~3 seconds to complete. This is fine and normal for the url. However, if i open the same localhost url in about 10 tabs, and set them to reload all at the same time, they finish sequentially, 3 seconds after each other. Meaning the last tab has taken 30 seconds to load (3s x 10). What is especially odd is that firebug reports each page as taking 3seconds to load. Another point to add is that the status bar just sits at 'done' for the last tab until 3 seconds before completing, where it then changes to 'waiting for localhost'. I am praying there is some connection limit somewhere otherwise this would be a disaster if more than one user ever visited the site at a time! Maybe a limit or something where one pc cant make more than 2 simultaneous requests to a url at a given time?

    Read the article

  • Super simple high performance http server

    - by masylum
    I´m building a url shortener web application and I would like to know the best architecture to do it in order to provide a fast and reliable service. I would like to have two separate servicies in different machines. The first machine will have the application itself with a apache, nginx, whatever.. The second one will contain the database. The third one will be the one that will be responsible to handle the short url petitions. For the third machine I just need to accept one kind of http petition (GET www.domain.com/shorturl), but it have to do it really fast and it should be stable enough. Which server do you recommend me? Thank's in advance and sorry for my english

    Read the article

  • Heavy write to Galera cluster - table locked, cluster practically unusable

    - by Joe
    I set up Galera Cluster on 3 nodes. It works perfectly for reading data. I have done simple application to make some test on the cluster. Unfortunately I have to say that the Cluster fails totally when I try to do some writing. Maybe it can be configured differently or I do sth wrong? I have a simple stored procedure: CREATE PROCEDURE testproc(IN p_idWorker INTEGER) BEGIN DECLARE t_id INT DEFAULT -1; DECLARE t_counter INT ; UPDATE test SET idWorker = p_idWorker WHERE counter = 0 AND idWorker IS NULL limit 1; SELECT id FROM test WHERE idWorker = p_idWorker LIMIT 1 INTO t_id; SELECT ABS(MAX(counter)/MIN(counter)) FROM TEST INTO t_counter; SELECT COUNT(*) FROM test WHERE counter = 0 INTO t_counter; IF t_id >= 0 THEN UPDATE test SET counter = counter + 1 WHERE id = t_id; UPDATE test SET idWorker = NULL WHERE id = t_id; SELECT t_counter AS res; ELSE SELECT 'end' AS res; END IF; END $$ Now my simple C# application creates for example 3 MySQL clients in separate threads and each one executes the procedure every 100ms until there is no record where column 'counter' = 0. Unfortunately - after about 10 seconds sth is going bad. On servers there is process 'query_end' that never ends. After that - you cannot make update on the test table, MySQL returns: ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction . You cant even restart mysql. What you can do is to restart server, sometimes whole cluster. Is Galera Cluster so unreliable when you do massive concucurrent writing/updates? Hard to believe.

    Read the article

  • Is NFS capable of preserving order of operations?

    - by JustJeff
    I have a diskless host 'A', that has a directory NFS mounted on server 'B'. A process on A writes to two files F1 and F2 in that directory, and a process on B monitors these files for changes. Assume that B polls for changes faster than A is expected to make them. Process A seeks the head of the files, writes data, and flushes. Process B seeks the head of the files and does reads. Are there any guarantees about how the order of the changes performed by A will be detected at B? Specifically, if A alternately writes to one file, and then the other, is it reasonable to expect that B will notice alternating changes to F1 and F2? Or could B conceivably detect a series of changes on F1 and then a series on F2? I know there are a lot of assumptions embedded in the question. For instance, I am virtually certain that, even operating on just one file, if A performs 100 operations on the file, B may see a smaller number of changes that give the same result, due to NFS caching some of the actions on A before they are communicated to B. And of course there would be issues with concurrent file access even if NFS weren't involved and both the reading and the writing process were running on the same real file system. The reason I'm even putting the question up here is that it seems like most of the time, the setup described above does detect the changes at B in the same order they are made at A, but that occasionally some events come through in transposed order. So, is it worth trying to make this work? Is there some way to tune NFS to make it work, perhaps cache settings or something? Or is fine-grained behavior like this just too much expect from NFS?

    Read the article

  • What is your development checklist for Java low-latency application?

    - by user49767
    I would like to create comprehensive checklist for Java low latency application. Can you add your checklist here? Here is my list 1. Make your objects immutable 2. Try to reduce synchronized method 3. Locking order should be well documented, and handled carefully 4. Use profiler 5. Use Amdhal's law, and find the sequential execution path 6. Use Java 5 concurrency utilities, and locks 7. Avoid Thread priorities as they are platform dependent 8. JVM warmup can be used As per my definition, low-latency application is tuned for every Milli-seconds.

    Read the article

  • What is the fastest way to send 100,000 HTTP requests in Python?

    - by Igor G.
    Hello, I am opening a file which has 100,000 url's. I need to send an http request to each url and print the status code. I am using Python 2.6, and so far looked at the many confusing ways Python implements threading/concurrency. I have even looked at the python concurrence library, but cannot figure out how to write this program correctly. Has anyone come across a similar problem? I guess generally I need to know how to perform thousands of tasks in Python as fast as possible - I suppose that means 'concurrently'. Thank you, Igor

    Read the article

  • .NET or Windows Synchronization Primitives Performance Specifications

    - by ovanes
    Hello *, I am currently writing a scientific article, where I need to be very exact with citation. Can someone point me to either MSDN, MSDN article, some published article source or a book, where I can find performance comparison of Windows or .NET Synchronization primitives. I know that these are in the descending performance order: Interlocked API, Critical Section, .NET lock-statement, Monitor, Mutex, EventWaitHandle, Semaphore. Many Thanks, Ovanes P.S. I found a great book: Concurrent Programming on Windows by Joe Duffy. This book is written by one of the head concurrency developers for .NET Framework and is simply brilliant with lots of explanations, how things work or were implemented.

    Read the article

< Previous Page | 4 5 6 7 8 9 10 11 12 13 14 15  | Next Page >