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In this query, AsParallel( ) is called on data This enables parallel operations on data, which is the data source of the query, letting multiple threads search data in parallel, looking for negative values As those values are found, they are added to the output sequence This means that the order of the output sequence may not reflect the order of the negative values within data For example, here is a sample run produced on a dual-core system:
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-5 -6 -1 -2 -3 -4
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As you can see, the thread that searched the higher partition found 5 and 6 before the thread that searched the lower partition found 1 It is important to understand that you might see a different outcome because of differences in task load, number of available processors, and so on The key point is that the resulting sequence will not necessarily reflect the order of the original sequence
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Using AsOrdered( )
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As pointed out in the previous section, by default, the order of the resulting sequence produced by a parallel query does not necessarily reflect the order of the source sequence Furthermore, for all practical purposes, the resulting sequence should be considered unordered If you need to have the result reflect the order of the source, you must specifically request it by using the AsOrdered( ) method, which is defined by ParallelEnumerable Both generic and non-generic forms are defined, as shown here: public static ParallelQuery AsOrdered(this ParallelQuery source) public static ParallelQuery<TSource> AsOrdered<TSource>(this ParallelQuery<TSource> source) Here, TSource stands for the type of the elements in source AsOrdered( ) can only be called on a ParallelQuery object because it is a ParallelQuery extension method To see the effects of using AsOrdered( ), substitute the following query into the program in the preceding section:
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// Use AsOrdered() to retain the order of the result var negatives = from val in dataAsParallel()AsOrdered() where val < 0 select val;
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When you run the program, the order of the elements in the resulting sequence will now reflect the order of the elements in the source sequence
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Cancelling a parallel query is similar to cancelling a task, as described earlier Both rely on the CancellationToken that is obtained from a CancellationTokenSource This token is passed to the query by way of the WithCancellation( ) method To cancel the query, call Cancel( ) on the token source There is one important difference, however, between cancelling a parallel query and cancelling a task When a parallel query is cancelled, it throws an OperationCanceledException, rather than an AggregateException However, in cases where more than one exception can be generated by the query, an OperationCanceledException might be combined into an AggregateException Therefore, it is often best to watch for both
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M u l t i t h r e a d i n g , P a r t Tw o : E x p l o r i n g t h e Ta s k P a r a l l e l L i b r a r y a n d P L I N Q
The WithCancellation( ) method is shown here: public static ParallelQuery<TSource> WithCancellation<TSource> ( this ParallelQuery<TSource> source, CancellationToken cancellationToken) Here, source specifies the invoking query, and cancellationToken specifies the cancellation token It returns a query that supports the specified cancellation token The following example shows how to cancel the query used in the preceding program It sets up a separate task that sleeps for 100 milliseconds and then cancels the query A separate task is needed because the foreach loop that executes the query blocks the Main( ) method until the loop completes
// Cancel a parallel query using using using using System; SystemLinq; SystemThreading; SystemThreadingTasks;
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