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An entire array can be populated with a single command: $ province=( Quebec Ontario Manitoba ) $ printf "%s\n" "${province[@]}" Quebec Ontario Manitoba Starting with bash-3.1, the += operator can be used to append values to the end of an indexed array. This results in a neater form of assignment to the next unassigned element: $ province+=( Saskatchewan ) $ province+=( Alberta "British Columbia" "Nova Scotia" ) $ printf "%-25s %-25s %s\n" "${province[@]}" Quebec Ontario Manitoba Saskatchewan Alberta British Columbia Nova Scotia

The Parallel.Invoke() method expects a parameter array of Action<> delegates, which you have supplied indirectly using lambda expressions. Again, while the output is identical, the benefit is that the TPL will now make use of all possible processors on the machine to invoke each method in parallel if possible.

#drupal-fr is for French-speaking Drupal users. #drupal-el is for the Greek (Hellas) Drupal users. #drupal-es is a Spanish language channel (http://groups.drupal.org/spanish). #drupal.hu is for Hungarian Drupal users. #drupal-italia is for the Drupal Italia user group (www.drupalitalia.org). #drupal-nl is for Dutch and Belgian Drupal users. #drupal-norge is for Norwegian Drupal users. Though you can visit this channel anytime of the day, the Norwegian Drupal community site Drupal Norge (http://drupalnorge.no/) announced a chat schedule from 9 p.m. (Norwegian time) every Wednesday and Sunday. #drupal-pl is for the Drupal Polish community (http://groups.drupal.org/poland). #drupal-pt is for Portuguese-speaking Drupal users, in particular those that hang around the Portugal group (http://groups.drupal.org/portugal). #drupal-ro is for Romanian Drupal users. #drupal-ru is for Russian Drupal users. #drupal-sr is for Serbian Drupal users. #drupal-se is for Swedish Drupal users. #drupal-tr is for Turkish Drupal users. #drupaluk is for UK Drupal developers (also some Irish developers lurk there too). #drupal-sl is for Slovenian Drupal users.

Parallel LINQ Queries (PLINQ)

To wrap up your look at the TPL, be aware that there is another way you can incorporate parallel tasks into your .NET applications. If you wish, you can make use of a new set of extension methods, which allow you to construct a LINQ query that will perform its workload in parallel (if possible). Fittingly, LINQ queries that are designed to run in parallel are termed PLINQ queries. Like parallel code authored using the Parallel class, PLINQ has the option of ignoring your request to process the collection in parallel if need be. The PLINQ framework has been optimized in numerous ways, which includes determining if a query would in fact perform faster in a synchronous manner. At run time, PLINQ analyzes the overall structure of the query and if the query is likely to benefit from parallelization, it will run concurrently. However, if parallelizing a query would hurt performance PLINQ just runs the query sequentially. If PLINQ has a choice between a potentially expensive parallel algorithm or an inexpensive sequential algorithm, it chooses the sequential algorithm by default. The necessary extension methods are found within the ParallelEnumerable class of the System.Linq namespace. Table 19-5 documents some useful PLINQ extensions. Table 19-4. Select members of the ParallelEnumerable class

When a web browser makes a request to Drupal, it gives Drupal a URL. From this information, Drupal must figure out what code to run and how to handle the request. This is commonly known as routing or dispatching. Drupal trims off the base part of the URL and uses the latter part, called the path. For example, if the URL is http://example.com/ q=node/3, the Drupal path is node/3. If you are using Drupal s clean URLs feature, the URL in your browser would be http://example.com/node/3, but your web server is quietly rewriting the URL to be http://example.com/ q=node/3 before Drupal sees it; so Drupal always deals with the same Drupal path. In the preceding example, the Drupal path is node/3 regardless of whether clean URLs are enabled. See The Web Server s Role in 1 for more detail on how this works.

AsParallel() WithCancellation()

Specifies that the rest of the query should be parallelized, if possible. Specifies that PLINQ should periodically monitor the state of the provided cancellation token and cancel execution if it is requested. Specifies the maximum number of processors that PLINQ should use to parallelize the query. Enables results to be processed in parallel without first merging back to the consumer thread, as would be the case when enumerating a LINQ result using the foreach keyword.