In my c# application multiple clients will access the same server, to process one client ata a time below code is written.In the code i used Moniter class and also the queue class.will this code affect the performance.if i use Monitor class, then shall i remove queue class from the code.
Sometimes my remote server machine where my application running as service is totally down.is the below code is the reasond behind, coz all the clients go in a queue, when i check the netstatus -an command using command prompt, for 8 clients it shows 50 connections are holding in Time-wait...
Below is my code where client acces the server ...
if (Id == "")
{
System.Threading.Monitor.Enter(this);
try
{
if (Request.AcceptTypes == null)
{
queue.Enqueue(Request.QueryString["sessionid"].Value);
string que = "";
que = queue.Dequeue();
TypeController.session_id = que;
langStr = SessionDatabase.Language;
filter = new AllThingzFilter(SessionDatabase, parameters, langStr);
TypeController.session_id = "";
filter.Execute();
Request.Clear();
return filter.XML;
}
else
{
TypeController.session_id = "";
filter = new AllThingzFilter(SessionDatabase, parameters, langStr);
filter.Execute();
}
}
finally
{
System.Threading.Monitor.Exit(this);
}
}
Locking this is pretty wrong, it won't work at all if every thread uses a different instance of whatever class this code lives in. It isn't clear from the snippet if that's the case but fix that first. Create a separate object just to store the lock and make it static or give it the same scope as the shared object you are trying to protect (also not clear).
You might still have trouble since this sounds like a deadlock rather than a race. Deadlocks are pretty easy to troubleshoot with the debugger since the code got stuck and is not executing at all. Debug + Break All, then Debug + Windows + Threads. Locate the worker threads in the thread list. Double click one to select it and use Debug + Call Stack to see where it got stuck. Repeat for other threads. Look back through the stack trace to see where one of them acquired a lock and compare to other threads to see what lock they are blocking on.
That could still be tricky if the deadlock is intricate and involves multiple interleaved locks. In which case logging might help. Really hard to diagnose mandelbugs might require a rewrite that cuts back on the amount of threading.
Related
I have a Windows service that every 5 seconds checks for work. It uses System.Threading.Timer for handling the check and processing and Monitor.TryEnter to make sure only one thread is checking for work.
Just assume it has to be this way as the following code is part of 8 other workers that are created by the service and each worker has its own specific type of work it needs to check for.
readonly object _workCheckLocker = new object();
public Timer PollingTimer { get; private set; }
void InitializeTimer()
{
if (PollingTimer == null)
PollingTimer = new Timer(PollingTimerCallback, null, 0, 5000);
else
PollingTimer.Change(0, 5000);
Details.TimerIsRunning = true;
}
void PollingTimerCallback(object state)
{
if (!Details.StillGettingWork)
{
if (Monitor.TryEnter(_workCheckLocker, 500))
{
try
{
CheckForWork();
}
catch (Exception ex)
{
Log.Error(EnvironmentName + " -- CheckForWork failed. " + ex);
}
finally
{
Monitor.Exit(_workCheckLocker);
Details.StillGettingWork = false;
}
}
}
else
{
Log.Standard("Continuing to get work.");
}
}
void CheckForWork()
{
Details.StillGettingWork = true;
//Hit web server to grab work.
//Log Processing
//Process Work
}
Now here's the problem:
The code above is allowing 2 Timer threads to get into the CheckForWork() method. I honestly don't understand how this is possible, but I have experienced this with multiple clients where this software is running.
The logs I got today when I pushed some work showed that it checked for work twice and I had 2 threads independently trying to process which kept causing the work to fail.
Processing 0-3978DF84-EB3E-47F4-8E78-E41E3BD0880E.xml for Update Request. - at 09/14 10:15:501255801
Stopping environments for Update request - at 09/14 10:15:501255801
Processing 0-3978DF84-EB3E-47F4-8E78-E41E3BD0880E.xml for Update Request. - at 09/14 10:15:501255801
Unloaded AppDomain - at 09/14 10:15:10:15:501255801
Stopping environments for Update request - at 09/14 10:15:501255801
AppDomain is already unloaded - at 09/14 10:15:501255801
=== Starting Update Process === - at 09/14 10:15:513756009
Downloading File X - at 09/14 10:15:525631183
Downloading File Y - at 09/14 10:15:525631183
=== Starting Update Process === - at 09/14 10:15:525787359
Downloading File X - at 09/14 10:15:525787359
Downloading File Y - at 09/14 10:15:525787359
The logs are written asynchronously and are queued, so don't dig too deep on the fact that the times match exactly, I just wanted to point out what I saw in the logs to show that I had 2 threads hit a section of code that I believe should have never been allowed. (The log and times are real though, just sanitized messages)
Eventually what happens is that the 2 threads start downloading a big enough file where one ends up getting access denied on the file and causes the whole update to fail.
How can the above code actually allow this? I've experienced this problem last year when I had a lock instead of Monitor and assumed it was just because the Timer eventually started to get offset enough due to the lock blocking that I was getting timer threads stacked i.e. one blocked for 5 seconds and went through right as the Timer was triggering another callback and they both somehow made it in. That's why I went with the Monitor.TryEnter option so I wouldn't just keep stacking timer threads.
Any clue? In all cases where I have tried to solve this issue before, the System.Threading.Timer has been the one constant and I think its the root cause, but I don't understand why.
I can see in log you've provided that you got an AppDomain restart over there, is that correct? If yes, are you sure that you have the one and the only one object for your service during the AppDomain restart? I think that during that not all the threads are being stopped right in the same time, and some of them could proceed with polling the work queue, so the two different threads in different AppDomains got the same Id for work.
You probably could fix this with marking your _workCheckLocker with static keyword, like this:
static object _workCheckLocker;
and introduce the static constructor for your class with initialization of this field (in case of the inline initialization you could face some more complicated problems), but I'm not sure is this be enough for your case - during AppDomain restart static class will reload too. As I understand, this is not an option for you.
Maybe you could introduce the static dictionary instead of object for your workers, so you can check the Id for documents in process.
Another approach is to handle the Stopping event for your service, which probably could be called during the AppDomain restart, in which you will introduce the CancellationToken, and use it to stop all the work during such circumstances.
Also, as #fernando.reyes said, you could introduce heavy lock structure called mutex for a synchronization, but this will degrade your performance.
TL;DR
Production stored procedure has not been updated in years. Workers were getting work they should have never gotten and so multiple workers were processing update requests.
I was able to finally find the time to properly set myself up locally to act as a production client through Visual Studio. Although, I wasn't able to reproduce it like I've experienced, I did accidentally stumble upon the issue.
Those with the assumptions that multiple workers were picking up the work was indeed correct and that's something that should have never been able to happen as each worker is unique in the work they do and request.
It turns out that in our production environment, the stored procedure to retrieve work based on the work type has not been updated in years (yes, years!) of deploys. Anything that checked for work automatically got updates which meant when the Update worker and worker Foo checked at the same time, they both ended up with the same work.
Thankfully, the fix is database side and not a client update.
I have a project which is a Web API project, my project is accessed by multiple users (i mean a really-really lot of users). When my project being accessed from frontend (web page using HTML 5), and user doing something like updating or retrieving data, the backend app (web API) will write a single log file (a .log file but the content is JSON).
The problem is, when being accessed by multiple users, the frontend became unresponsive (always loading). The problem is in writing process of the log file (single log file being accessed by a really-really lot of users). I heard that using a multi threading technique can solve the problem, but i don't know which method. So, maybe anyone can help me please.
Here is my code (sorry if typo, i use my smartphone and mobile version of stack overflow):
public static void JsonInputLogging<T>(T m, string methodName)
{
MemoryStream ms = new MemoryStream();
DataContractJsonSerializer ser = new
DataContractJsonSerializer(typeof(T));
ser.WriteObject(ms, m);
string jsonString = Encoding.UTF8.GetString(ms.ToArray());
ms.Close();
logging("MethodName: " + methodName + Environment.NewLine + jsonString.ToString());
}
public static void logging (string message)
{
string pathLogFile = "D:\jsoninput.log";
FileInfo jsonInputFile = new FileInfo(pathLogFile);
if (File.Exists(jsonInputFile.ToString()))
{
long fileLength = jsonInputFile.Length;
if (fileLength > 1000000)
{
File.Move(pathLogFile, pathLogFile.Replace(*some new path*);
}
}
File.AppendAllText(pathLogFile, *some text*);
}
You have to understand some internals here first. For each [x] users, ASP.Net will use a single worker process. One worker process holds multiple threads. If you're using multiple instances on the cloud, it's even worse because then you also have multiple server instances (I assume this ain't the case).
A few problems here:
You have multiple users and therefore multiple threads.
Multiple threads can deadlock each other writing the files.
You have multiple appdomains and therefore multiple processes.
Multiple processes can lock out each other
Opening and locking files
File.Open has a few flags for locking. You can basically lock files exclusively per process, which is a good idea in this case. A two-step approach with Exists and Open won't help, because in between another worker process might do something. Bascially the idea is to call Open with write-exclusive access and if it fails, try again with another filename.
This basically solves the issue with multiple processes.
Writing from multiple threads
File access is single threaded. Instead of writing your stuff to a file, you might want to use a separate thread to do the file access, and multiple threads that tell the thing to write.
If you have more log requests than you can handle, you're in the wrong zone either way. In that case, the best way to handle it for logging IMO is to simply drop the data. In other words, make the logger somewhat lossy to make life better for your users. You can use the queue for that as well.
I usually use a ConcurrentQueue for this and a separate thread that works away all the logged data.
This is basically how to do this:
// Starts the worker thread that gets rid of the queue:
internal void Start()
{
loggingWorker = new Thread(LogHandler)
{
Name = "Logging worker thread",
IsBackground = true,
Priority = ThreadPriority.BelowNormal
};
loggingWorker.Start();
}
We also need something to do the actual work and some variables that are shared:
private Thread loggingWorker = null;
private int loggingWorkerState = 0;
private ManualResetEventSlim waiter = new ManualResetEventSlim();
private ConcurrentQueue<Tuple<LogMessageHandler, string>> queue =
new ConcurrentQueue<Tuple<LogMessageHandler, string>>();
private void LogHandler(object o)
{
Interlocked.Exchange(ref loggingWorkerState, 1);
while (Interlocked.CompareExchange(ref loggingWorkerState, 1, 1) == 1)
{
waiter.Wait(TimeSpan.FromSeconds(10.0));
waiter.Reset();
Tuple<LogMessageHandler, string> item;
while (queue.TryDequeue(out item))
{
writeToFile(item.Item1, item.Item2);
}
}
}
Basically this code enables you to work away all the items from a single thread using a queue that's shared across threads. Note that ConcurrentQueue doesn't use locks for TryDequeue, so clients won't feel any pain because of this.
Last thing that's needed is to add stuff to the queue. That's the easy part:
public void Add(LogMessageHandler l, string msg)
{
if (queue.Count < MaxLogQueueSize)
{
queue.Enqueue(new Tuple<LogMessageHandler, string>(l, msg));
waiter.Set();
}
}
This code will be called from multiple threads. It's not 100% correct because Count and Enqueue don't necessarily have to be called in a consistent way - but for our intents and purposes it's good enough. It also doesn't lock in the Enqueue and the waiter will ensure that the stuff is removed by the other thread.
Wrap all this in a singleton pattern, add some more logic to it, and your problem should be solved.
That can be problematic, since every client request handled by new thread by default anyway. You need some "root" object that is known across the project (don't think you can achieve this in static class), so you can lock on it before you access the log file. However, note that it will basically serialize the requests, and probably will have a very bad effect on performance.
No multi-threading does not solve your problem. How are multiple threads supposed to write to the same file at the same time? You would need to care about data consistency and I don't think that's the actual problem here.
What you search is asynchronous programming. The reason your GUI becomes unresponsive is, that it waits for the tasks to complete. If you know, the logger is your bottleneck then use async to your advantage. Fire the log method and forget about the outcome, just write the file.
Actually I don't really think your logger is the problem. Are you sure there is no other logic which blocks you?
I am trying to do the following:
var path = Server.MapPath("File.js"));
// Create the file if it doesn't exist or if the application has been restarted
// and the file was created before the application restarted
if (!File.Exists(path) || ApplicationStartTime > File.GetLastWriteTimeUtc(path)) {
var script = "...";
using (var sw = File.CreateText(path)) {
sw.Write(script);
}
}
However occasionally the following error is sometimes thrown:
The process cannot access the file '...\File.js' because it is being
used by another process
I have looked on here for similar questions however mine seems slightly different from the others. Also I cannot replicate it until the server is under heavy load and therefore I wish to make sure it is correct before I upload the fix.
I'd appreciate it if someone could show me how to fix this.
Thanks
It sounds like two requests are running on your server at the same time, and they're both trying to write to that file at the same time.
You'll want to add in some sort of locking behavior, or else write a more robust architecture. Without knowing more about what specifically you're actually trying to accomplish with this file-writing procedure, the best I can suggest is locking. I'm generally not a fan of locking like this on web servers, since it makes requests depend on each other, but this would solve the problem.
Edit: Dirk pointed out below that this may or may not actually work. Depending on your web server configuration, static instances may not be shared, and the same result could occur. I've offered this as a proof of concept, but you should most definitely address the underlying problem.
private static object lockObj = new object();
private void YourMethod()
{
var path = Server.MapPath("File.js"));
lock (lockObj)
{
// Create the file if it doesn't exist or if the application has been restarted
// and the file was created before the application restarted
if (!File.Exists(path) || ApplicationStartTime > File.GetLastWriteTimeUtc(path))
{
var script = "...";
using (var sw = File.CreateText(path))
{
sw.Write(script);
}
}
}
}
But, again, I'd be tempted to reconsider what you're actually trying to accomplish with this. Perhaps you could build this file in the Application_Start method, or even just a static constructor. Doing it for every request is a messy approach that will be likely to cause issues. Particularly under heavy load, where every request will be forced to run synchronously.
I've got a routine called GetEmployeeList that loads when my Windows Application starts.
This routine pulls in basic employee information from our Active Directory server and retains this in a list called m_adEmpList.
We have a few Windows accounts set up as Public Profiles that most of our employees on our manufacturing floor use. This m_adEmpList gives our employees the ability to log in to select features using those Public Profiles.
Once all of the Active Directory data is loaded, I attempt to "auto logon" that employee based on the System.Environment.UserName if that person is logged in under their private profile. (employees love this, by the way)
If I do not thread GetEmployeeList, the Windows Form will appear unresponsive until the routine is complete.
The problem with GetEmployeeList is that we have had times when the Active Directory server was down, the network was down, or a particular computer was not able to connect over our network.
To get around these issues, I have included a ManualResetEvent m_mre with the THREADSEARCH_TIMELIMIT timeout so that the process does not go off forever. I cannot login someone using their Private Profile with System.Environment.UserName until I have the list of employees.
I realize I am not showing ALL of the code, but hopefully it is not necessary.
public static ADUserList GetEmployeeList()
{
if ((m_adEmpList == null) ||
(((m_adEmpList.Count < 10) || !m_gotData) &&
((m_thread == null) || !m_thread.IsAlive))
)
{
m_adEmpList = new ADUserList();
m_thread = new Thread(new ThreadStart(fillThread));
m_mre = new ManualResetEvent(false);
m_thread.IsBackground = true;
m_thread.Name = FILLTHREADNAME;
try {
m_thread.Start();
m_gotData = m_mre.WaitOne(THREADSEARCH_TIMELIMIT * 1000);
} catch (Exception err) {
Global.LogError(_CODEFILE + "GetEmployeeList", err);
} finally {
if ((m_thread != null) && (m_thread.IsAlive)) {
// m_thread.Abort();
m_thread = null;
}
}
}
return m_adEmpList;
}
I would like to just put a basic lock using something like m_adEmpList, but I'm not sure if it is a good idea to lock something that I need to populate, and the actual data population is going to happen in another thread using the routine fillThread.
If the ManualResetEvent's WaitOne timer fails to collect the data I need in the time allotted, there is probably a network issue, and m_mre does not have many records (if any). So, I would need to try to pull this information again the next time.
If anyone understands what I'm trying to explain, I'd like to see a better way of doing this.
It just seems too forced, right now. I keep thinking there is a better way to do it.
I think you're going about the multithreading part the wrong way. I can't really explain it, but threads should cooperate and not compete for resources, but that's exactly what's bothering you here a bit. Another problem is that your timeout is too long (so that it annoys users) and at the same time too short (if the AD server is a bit slow, but still there and serving). Your goal should be to let the thread run in the background and when it is finished, it updates the list. In the meantime, you present some fallbacks to the user and the notification that the user list is still being populated.
A few more notes on your code above:
You have a variable m_thread that is only used locally. Further, your code contains a redundant check whether that variable is null.
If you create a user list with defaults/fallbacks first and then update it through a function (make sure you are checking the InvokeRequired flag of the displaying control!) you won't need a lock. This means that the thread does not access the list stored as member but a separate list it has exclusive access to (not a member variable). The update function then replaces (!) this list, so now it is for exclusive use by the UI.
Lastly, if the AD server is really not there, try to forward the error from the background thread to the UI in some way, so that the user knows what's broken.
If you want, you can add an event to signal the thread to stop, but in most cases that won't even be necessary.
As Ive stated with a few other questions, Ive been using a new SSH .NET library to connect to a Unix server and run various scripts and commands. Well, I've finally attempted to use it to run a Unix tail -f on a live log file and display the tail in a Winforms RichTextBox.
Since the library is not fully-fleshed out, the only kinda-sorta solution I've come up with seems lacking... like the feeling you get when you know there has to be a better way. I have the connection/tailing code in a separate thread as to avoid UI thread lock-ups. This thread supports cancellation request (which will allow the connection to gracefully exit, the only way to ensure the process Unix side is killed). Here's my code thus far (which for the record seems to work, I would just like some thoughts on if this is the right way to go about it):
PasswordConnectionInfo connectionInfo = new PasswordConnectionInfo(lineIP, userName, password);
string command = "cd /logs; tail -f " + BuildFileName() + " \r\n";
using (var ssh = new SshClient(connectionInfo))
{
ssh.Connect();
var output = new MemoryStream();
var shell = ssh.CreateShell(Encoding.ASCII, command, output, output);
shell.Start();
long positionLastWrite = 0;
while (!TestBackgroundWorker.CancellationPending) //checks for cancel request
{
output.Position = positionLastWrite;
var result = new StreamReader(output, Encoding.ASCII).ReadToEnd();
positionLastWrite = output.Position;
UpdateTextBox(result);
Thread.Sleep(1000);
}
shell.Stop();
e.Cancel = true;
}
The UpdateTextBox() function is a thread-safe way of updating the RichTextBox used to display the tail from a different thread. The positionLastWrite stuff is an attempt to make sure I don’t loose any data in between the Thread.Sleep(1000).
Now Im not sure about 2 things, first being that I have the feeling I might be missing out on some data each time with the whole changing MemoryStream position thing (due to my lack of experiance with MemoryStreams, and the second being that the whole sleep for 1 second then update again thing seems pretty archaic and inefficient... any thoughts?
Mh, I just realized that you are not the creator of the SSH library (although it's on codeplex so you could submit patches), anyway: You might want to wrap your loop into a try {} finally {} and call shell.Stop() in the finally block to make sure it is always cleaned up.
Depending on the available interfaces polling might be the only way to go and it is not inherently bad. Whether or not you loose data depends on what the shell object is doing for buffering: Does it buffer all output in memory, does it throw away some output after a certain time?
My original points still stand:
One thing which comes to mind is that it looks like the shell object is buffering the whole output in memory all the time which poses a potential resource problem (out of memory). One option of changing the interface is to use something like a BlockingQueue in the shell object. The shell is then enqueuing the output from the remote host in there and in your client you can just sit there and dequeue which will block if nothing is there to read.
Also: I would consider making the shell object (whatever type CreateShell returns) IDisposable. From your description it sounds shell.Stop() is required to clean up which won't happen in case some exception is thrown in the while loop.