asp.net qr code reader

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Using LINQ... Associate Salary History Bill Jordan Salary on 10/8/2009 was $33,500.00 Janis Roberts -Kevin Hodges Salary on 8/14/2009 was $39,500.00 Kevin Hodges Salary on 2/5/2010 was $41,900.00 Using Entity SQL... Bill Jordan Salary on 10/8/2009 was $33,500.00 Janis Roberts -Kevin Hodges Salary on 8/14/2009 was $39,500.00 Kevin Hodges Salary on 2/5/2010 was $41,900.00

Support for fields is consistent across all the items in a given list. You will never have one Contact that supports a birthday and another that doesn't. However, not every field will necessarily have a value. In some cases, a field may be mandatory, meaning it cannot be stored without having some value. When this happens, an initial default is usually provided that your app can choose to overwrite.

In this case, a 100MB image file named myImage.dmg is created on the desktop. The volume name of the image is specified by the -volname parameter, in this case testImage. By default, the format of the image file is Read/Write, a GUID partition scheme is used, and no encryption is used on the disk image. To create a sparse image with encryption we can use the following syntax:

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To flatten the query results we followed the strategy in Recipe 12 in this chapter and used a nested from clause and the DefaultIfEmpty() method to get a left outer join between the tables. The DefaultIfEmpty() method ensured that we have rows from the left side (the Associate entities), even if there are no corresponding rows on the right side (AssociateSalary entities). We project the results into an anonymous type being careful to capture null values for the salary and salary date when there are no corresponding AssociateSalary entities. For the Entity SQL solution, we use the outer apply operator to create unique pairings between each Associate entity and AssociateSalary entity. Both the cross and outer apply operators were introduced in SQL Server 2005.

Contacts are probably the most complex item in the PIM database. They certainly have the greatest number of fields, and are the only items that support field attributes. Contacts are also likely to be the most widely used piece of personal information. Access to contacts can greatly enhance the usefulness of your app, so understanding their structure is important.

$ hdiutil create -size 8G -fs "Journaled HFS+" -volname "myImage" -type SPARSE -encryption AES-128 ~/Desktop/mySecureImage.sparseimage Enter a new password to secure "mySecureImage.sparseimage": Re-enter new password: created: /Users/hunterbj/mySecureImage.sparseimage

Let s say you have a model with an Event entity type like the one in Figure 3-18. Event has a name, city, and state. You want to group events by state and then by city.

Here, we were prompted for a password to use for encryption. We can also use the stdinpass if we want to specify the password programmatically:

A contact is an entity with whom you can communicate. Contacts are most often people, but may also include companies, automated response lines, or other things. At a minimum, we are likely to assign a name to each contact, whether it is Bob or Apress or That one weird guy who s always in the coffee shop. Around that name, we attach a lot of associations and information. In the world of PIM, we can quantify a lot of that information into data. People have phone numbers, so we enter that into the contact record. We further distinguish between a person s fax number, their work number, and their mobile number. Any individual contact may have multiple versions of the same type of data, and be missing other types of data entirely. Figure 6-4 shows the set of fields included for a hypothetical item in the address book.

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