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A combiner is a mini-reducer. The purpose of a combiner is to reduce the volume of data that must be passed to the reducer from a map task by summarizing output records that share the same key. A combiner must implement the Reducer interface, and the reduce() method of the combiner will be called with each output key and all of the output values that share that key. The output of the combiner is what will be sent over the network to the actual reduce task for the job or written to the final output directory, if there is no reduce task configured. The combiner class reduce() method must have the same input and output key/value types as the reducer class. For each call to output.collect made by the map() method, the framework will route the key/value pair to the applicable partition, based on the result of the Partitioner.getPartition

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call. When all of the map task input has been processed, these partitions are sorted, and each one is passed as input to the combiner. The combiner s reduce() method will be called once for each unique key in the partition, and the values will be the set of values that share that key. The output of the combiner will replace that set of original map outputs, ideally with fewer records or smaller records. This is suitable for jobs that are producing summary information from a large dataset.

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To send messages, invoke postMessage on the target window object, as shown in the following example: window.postMessage( Hello, world , portal.example.com ); The first argument contains the data to send, and the second argument contains the intended target. To send messages to iframes, you can invoke postMessage on the iframe s contentWindow, as shown in the following example: document.getElementsByTagName( iframe )[0].contentWindow.postMessage( Hello, world , chat.example.net );

Caution The combiner must not change the key values, as the map outputs are not re-sorted after the combiner runs. The reduce phase requires the map outputs to be sorted by key.

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Hibernate s HQL also has a strong correlation with the new EJB Query Language (EJB QL), though this is probably as much an artifact of their common ancestry in SQL as the Hibernate team s participation in the standards effort EJB3 allows the relationship between Entities/POJOs and the database to be described with a deployment descriptor Although, at the time of writing, this has not been fully specified, it looks likely to resemble the Hibernate mapping files in both form and purpose Even more interesting, EJB3 will also allow this relationship to be expressed as Java 5 annotations inline with the Entity/POJO s source code This is directly supported by Hibernate 3 annotations The convenience of this approach suggests that it will become the standard way to maintain these mappings as Java 5 deployments become commonplace.

It is common for the same class that is used in the reduce task to be used for the combiner. However, this practice often leads to difficult-to-diagnose problems. The combiner must only aggregate values, in a manner that is suitable for processing by the actual reducer. The actual reducer has the larger job of producing the final job output. Problems occur when the reducer is modified to provide some change in the job output, and the person doing the modification is unaware that the reducer is also used as a combiner. It is very important that the combiner class not have side effects, and that the actual reducer be able to properly process the results of the combiner.

A script receives messages by listening for events on the window object, as shown in Listing 5-2. In the event listener function, the receiving application can decide to accept or ignore the message. Listing 5-2. Listening for message events and comparing origins against a white list var originWhiteList = [ portal.example.com , games.example.com , www.example.com ]; function checkWhiteList(origin) { for (var i=0; i<originWhiteList.length; i++) { if (origin === originWhiteList[i]) { return true; } } return false; }

It not always simple to build a correct combiner. If a job output has problems, try running the job Tip without the combiner to see if the problem persists. If your actual reduce() method is nontrivial, do not also use it as a combiner; instead, write a separate object to combine the map outputs.

In short, if you code to Hibernate 3 now, the effort involved in the transition to EJB3 later will be minimal if at all necessary Meanwhile, Hibernate 3 is available now and has a persuasive pedigree..

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