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Next, add a function to communicate with the chat widget. It uses postMessage to send a status update to the widget iframe contained in the portal page. In a live chat application, it could be used to communicate the user s status (available, away, and so on). function sendString(s) { document.getElementById("widget").contentWindow.postMessage(s, targetOrigin); }

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These are the elements that are required for you to include an attribute in your class that represents any of the collection classes. For example, if you have an attribute of type Set, then you will need to use a bag or set element to represent its relationship with the database.

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For the MapFileOutputFormat, the value of the configuration key io.map.index.interval determines how many records are written to the data sequence file between writes to the index sequence file. The default is one index entry for every 128 records. Map files provide the following methods for looking up key/value pairs. void reset(): Resets the read position to the beginning of the file. WritableComparable midKey(): Returns the key roughly in the middle of the file. void finalKey(WritableComparable key): Reads the final key. boolean seek(WritableComparable key): Seeks to the key, or to the first key after it, if it does not exist. boolean next(WritableComparable key, Writable val): Reads the next key/value pair. Writable get(WritableComparable key, Writable val): Gets the value for key. WritableComparable getClosest(WritableComparable key, Writable val): Gets the closest match to the key, searching as seek. WritableComparable getClosest(WritableComparable key, Writable val, final boolean before): Works like the previously described getClosest() method, unless before is true in which case the key before is returned.

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The Hadoop framework supports several types of compression and several compression formats. The framework supports the gzip, zip, sometimes LZO, and bzip2 compression codecs. Native libraries are supplied for Linux i386 and x86_64 for gzip, zip, and LZO for some releases. The framework will transparently compress and uncompress most input and output files. Input files are uncompressed when the input file name has a suffix that maps to one of the known codecs, as shown in Table 5-3.

First, add an event listener messageHandler to listen for message events coming from the portal page. As shown in the following example code, the chat widget listens for incoming status-change messages. To make sure the message comes from the portal page, the message s origin is verified; if it does not come from http://portal.example.com:9999, the widget simply ignores it. var targetOrigin = "http://portal.example.com:9999"; function messageHandler(e) { if (e.origin === "http://portal.example.com:9999") { document.getElementById("status").textContent = e.data; } else { // ignore messages from other origins } } Next, add a function to communicate with the portal page. The widget will ask the portal to notify the user on its behalf and uses postMessage to send a message to the portal page when a new chat message is received, as shown in the following example: function sendString(s) { window.top.postMessage(s, targetOrigin); }

Note LZO is licensed under the GPL. It is incompatible with the Apache license and has been removed

Because of the simplicity of the object-oriented relationship involved, where one object has an attribute capable of containing many objects, it is a common fallacy to assume that the relationship must be expressed as a one-to-many. In practice, however, this will almost always be easiest to express as a many-to-many relationship, where an additional link table closely corresponds with the role of the collection itself. See the Mapping Collections section later in this chapter for a more detailed illustration of this. All of the collection mapping elements share the attributes shown in Table 6-10. Table 6-10. The Attributes Common to the Collection Elements

from some distributions. I sincerely wish that this will be resolved and that native LZO becomes a standard part of the Hadoop distribution.

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