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27 Sep 2010 ... A common example of 2D bar code is QR code (shown on right) which is ... There is an open source Java library called 'zxing' (Zebra Crossing) which ... reader . decode(bitmap); System.out.println(" Barcode text is " + result.


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The name of the DAG The start time and date of the *over The cause of the *over (move, mount, or dismount) Actions may be initiated automatically or by an administrator Why the *over occurred The number of operations taking more or less than 30 seconds The total time service was unavailable The amount of time spent at each stage of the operation How many times the *over was attempted The number of logs lost during the *over operation

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The second script is CollectReplicationMetrics.ps1. This is useful for troubleshooting because it collects metrics in real time. The output statistics are shown in Table 17-14.

(continued)

The name of the DAG The name of the Server hosting a DAG The length of time the active DAG has been mounted on a given host

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In 4, Inside Controllers, we thoroughly discussed the structure and expected behavior of ASP.NET MVC controllers. Any public method on a controller class that is not decorated with the NonAction attribute can be invoked from a client using any JavaScript API. The response a client receives depends on the return value of the controller method. In 4, we reviewed the various results a caller can get from a controller. The most common result is expressed via an instance of the ViewResult class, which essentially wraps an HTML string. However, other result types can be returned, such as JsonResult.

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Java implementations of barcode reader in ABBYY Cloud OCR SDK is very simple and takes only few lines of code. See the codesample to find out the ...

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The length of time the mailbox database copy and its log files are being compared with the active copy of the database to check for any divergence between the two copies The length of time the mailbox database copy is in a Failed state because it isn t suspended and it isn t able to copy or replay log files The length of time the mailbox database copy is in a Suspended state as a result of an administrator manually suspending the database copy The length of time the Failed and Suspended states have been set simultaneously by the system because a failure was detected and because resolution of the failure explicitly requires administrator intervention The length of time the mailbox database copy is no longer connected to the active database copy The rate at which new logs are being generated

A database schema is the definition of how the data is stored in the database file. As shown in Table 6-1, in all earlier versions of Exchange Server, each database has a mailbox, folder, message, and attachment table. These tables are used to store all information for all mailboxes in the database. This provides the ability to only store a message and attachment once for each of the mailboxes in the database. The previous database schema also includes a table for each folder to store the item contents of each folder.

Earlier in the chapter, I presented a short JavaScript code snippet using the getJSON function from the jQuery library to grab some JSON data from a URL. For completeness, the code snippet is reproduced here:

Single instance storage no longer provides the space savings that it did when it was first introduced, because of a number of factors. The architecture used to support single instance storage also no longer provides adequate performance for SATA-based storage (this will be covered in more detail later in this chapter). The database structure in Exchange Server 2010, shown in Table 6-2, was re-architected to now only have one per database table the mailbox table. All of the folders, message headers, and message bodies are stored in a table for each mailbox. There is also a table for each view, which stores the contents and status of each message included in each view.

This new database structure allows data to be stored contiguously and to keep frequently accessed data located more closely together, as can be seen in Figure 6-1. When the data is contiguous, the amount of I/O that is required is reduced.

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