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Parallel Language Integrated Query
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Microsoft s Language Integrated Query (LINQ) feature offers a convenient syntax for performing queries over collections of data . Using LINQ, you can easily filter items, sort items, return a projected set of items, and much more . When you use LINQ to Objects, only one thread processes all the items in your data collection sequentially; we call this a sequential
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query . You can potentially improve the performance of this processing by using Parallel LINQ, which can turn your sequential query into a parallel query, which internally uses tasks (queued to the default TaskScheduler) to spread the processing of the collection s items across multiple CPUs so that multiple items are processed concurrently . Like Parallel s methods, you will get the most benefit from Parallel LINQ if you have many items to process or if the processing of each item is a lengthy compute-bound operation . The static System.Linq.ParallelEnumerable class (defined in System .Core .dll) implements all of the Parallel LINQ functionality, and so you must import the System.Linq namespace into your source code via C# s using directive . In particular, this class exposes parallel versions of all the standard LINQ operators such as Where, Select, SelectMany, GroupBy, Join, OrderBy, Skip, Take, and so on . All of these methods are extension methods that extend the System.Linq.ParallelQuery<T> type . To have your LINQ to Objects query invoke the parallel versions of these methods, you must convert your sequential query (based on IEnumerable or IEnumerable<T>) to a parallel query (based on ParallelQuery or ParallelQuery<T>) using ParallelEnumerable s AsParallel extension method, which looks like this3:
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public static ParallelQuery<TSource>AsParallel<TSource>(this IEnumerable<TSource> source) public static ParallelQueryAsParallel(this IEnumerablesource)
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Here is an example of a sequential query that has been converted to a parallel query . This query returns all the obsolete methods defined within an assembly:
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private static void ObsoleteMethods(Assembly assembly) { var query = from type in assembly.GetExportedTypes().AsParallel() from method in type.GetMethods(BindingFlags.Public | BindingFlags.Instance | BindingFlags.Static) let obsoleteAttrType = typeof(ObsoleteAttribute) where Attribute.IsDefined(method, obsoleteAttrType) orderbytype.FullName let obsoleteAttrObj = (ObsoleteAttribute) Attribute.GetCustomAttribute(method, obsoleteAttrType) select String.Format("Type={0}\nMethod={1}\nMessage={2}\n", type.FullName, method.ToString(), obsoleteAttrObj.Message); // Display the results foreach (var result in query) Console.WriteLine(result); }
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The ParallelQuery<T> class is derived from the ParallelQuery class .
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Compute-Bound Asynchronous Operations
While uncommon, within a query you can switch from performing parallel operations back to performing sequential operations by calling ParallelEnumerable s AsSequential method:
public static IEnumerable<TSource> AsSequential<TSource>(this ParallelQuery<TSource> source)
This method basically turns a ParallelQuery<T> back to an IEnumerable<T> so that operations performed after calling AsSequential are performed by just one thread . Normally, the resulting data produced by a LINQ query is evaluated by having some thread execute a foreach statement (as shown earlier) . This means that just one thread iterates over all the query s results . If you want to have the query s results processed in parallel, then you should process the resulting query by using ParallelEnumerable s ForAll method:
static void ForAll<TSource>(this ParallelQuery<TSource> source, Action<TSource> action)
This method allows multiple threads to process the results simultaneously . I could modify my code earlier to use this method as follows:
// Display the results query.ForAll(Console.WriteLine);
However, having multiple threads call Console.WriteLine simultaneously actually hurts performance since the Console class internally synchronizes threads, ensuring that only one at a time can access the console window . This prevents text from multiple threads from being interspersed, making the output unintelligible . Use the ForAll method when you intend to perform calculations on each result . Since Parallel LINQ processes items using multiple threads, the items are processed concurrently and the results are returned in an unordered fashion . If you need to have Parallel LINQ preserve the order of items as they are processed, then you can call ParallelEnumerable s AsOrdered method . When you call this method, threads will process items in groups and then the groups are merged back together, preserving the order; this will hurt performance . The following operators produce unordered operations: Distinct, Except, Intersect, Union, Join, GroupBy, GroupJoin, and ToLookup . If you wish to enforce ordering again after one of these operators, just call the AsOrdered method . The following operators produce ordered operations: OrderBy, OrderByDescending, ThenBy, and ThenByDescending . If you wish to go back to unordered processing again to improve performance after one of these operators, just call the AsUnordered method . Parallel LINQ offers some additional ParallelEnumerable methods that you can call to control how the query is processed:
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