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using System; using SystemLinq; class PLINQDemo { static void Main() { int[] data = new int[10000000]; // Initialize the data to positive values for(int i=0; i < dataLength; i++) data[i] = i; // Now, insert some negative values data[1000] = -1; data[14000] = -2; data[15000] = -3; data[676000] = -4; data[8024540] = -5; data[9908000] = -6; // Use a PLINQ query to find the negative values var negatives = from val in dataAsParallel() where val < 0 select val; foreach(var v in negatives) ConsoleWrite(v + " "); ConsoleWriteLine(); } }

The program begins by creating a large array of integers called data that contains positive values Next, a few negative values are inserted Then, a PLINQ query is used to return a sequence of the negative values This query is shown here:

YOU TRY IT What is Sec 1 ( 2/ 3) What is Csc 1 ( 2)

var negatives = from val in dataAsParallel() where val < 0 select val;

Part II:

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:

-5 -6 -1 -2 -3 -4

_ /2

because, frankly, I wasn t sure what I wanted to say I decided to go one by one, getting each bullet point into parallel construction and making sure the points were clear There were a lot of verbs close to the beginning, so I decided to stay with that construction I ended up with this

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

Using AsOrdered( )

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:

x _ /2

// Use AsOrdered() to retain the order of the result var negatives = from val in dataAsParallel()AsOrdered() where val < 0 select val;

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

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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