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DataTable and thread safety

开发者 https://www.devze.com 2023-03-21 02:01 出处:网络
I\'m storing DataTable in ASP .NET Cache property. Operations that开发者_如何学JAVA can be done on that DataTable are:

I'm storing DataTable in ASP .NET Cache property. Operations that开发者_如何学JAVA can be done on that DataTable are:

  • binding to grid control (that 3rd party grid internally manages datasource object, after postback its DataSource is NULL, I assume once data is binded it does not use datasource DataTable any more)
  • removing rows from DataTable (Row.Delete()

I added basic reader/writer locks when explicitly working on that DataTable instance, but I wonder are there any other thread safety issues with that solution. I guess something might go wrong when grid control is in the middle of DataBinding, and other thread removes rows? If so, how can I sync access to that table so that no Delete method calls are made when grid control is binding? Are there any combination of events where I can put AcquireWriterLock & ReleaseWriterLock methods ?

Thanks,Pawel


If you are exposing the datatable via data-binding, then forget it; you cannot make that thread-safe. Even if you wrap the DataView somehow (in a custom ITypedList), that doesn't do enough - data-binding makes assumptions about the data, in particular the IList etc - for example, that it isn't going to randomly change length in a thread-contended way in the middle of iterating the data or adding a row on the UI thread.

There is provision for changes on the same thread via events ... but not cross-threaded.


As people mentioned in other answers:

  • generally you only cache immutable data (or at least: treat it as immutable once it is there). Otherwise it isn't a cache
  • DO NOT expose multiple requests to common data if somebody is ever going to edit it
  • If you are exposing the datatable via data-binding, then forget it; you cannot make that thread-safe

However I really needed to cache a DataTable. Reasons:

  • query that gets results is really huge & time consuming. Also refresh rate of page that is making a call with that query is big. As a result db engine is becoming bussy. With caching I'll get only 1 db engine call every 2 minutes
  • result of that query differs. But it's totally acceptable for the user to see the same result for, let's say, 2 minutes. So storing data in cache for 2 minutes is acceptable. Also there are no other concerns like concurrency, optimistic / pessimistic offline locks...

However when user operates on data it sees, some changes are made to data:

  • that change has to be applied on db. Before implementing cache, after change to db was applied application once again issued huge query to get result with only slight differences
  • now, with caching, change is applied on db and applied on cached DataTable. Then that data table is binded once again to databound control. Benefits: no need to make WCF call, fetch data using huge query + transfer datatable to web application

This is how I implemented locking for that solution:

  1. Cached data is stored in singleton-like wrapper:

    public class AllocationQueue
    {
        private static object tableSyncRoot = new object();
    
  2. This is the only piece of code that modifies cached DataTable:

    internal void RemoveTaskRowFromAllocationQueue(Guid queueId, Guid taskId)
    {
        var allocationQueueEntry = GetAllocationQueueEntry(queueId);
        var queueData = allocationQueueEntry.TaskIdIndexedView;
        lock(tableSyncRoot)
        {
            int rowIndex = queueData.Find(new object[] { taskId });
            queueData[rowIndex].Delete();
        }
    }
    
  3. This is the only piece of code that exposed data for databinding:

    public DataTable GetAllocationQueue(Guid queueId, string filter)
    {
        var allocationQueueEntry = GetAllocationQueueEntry(queueId);
        lock (tableSyncRoot)
        {
            var rows = allocationQueueEntry.Table.Select(filter);
            if (rows.Length > 0)
            {
                return rows.CopyToDataTable<DataRow>();
            }
        }
        return null;
    }
    

Thread-safe & works like a charm (Am I right? :) ). But it's very specyfic to my requirements.


Here is a simple way to add rows in a thread safe manner. Where dt = my DataTable and dr = my DataRow

lock (dt.Rows.SyncRoot)
{
    dt.Rows.Add(dr);
} 
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