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By Ascheuer N., Junger M., Reinelt G.
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Additional resources for A Branch & Cut Algorithm for the Asymmetric Traveling Salesman Problem with Precedence Constraints
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As you can see, the data looks much as it did in a spreadsheet, laid out in rows and columns. In later chapters, we will explain the actual mechanics of defining a database table, storing, and accessing the data, but rest assured, it’s not difficult. Accessing Data in a Database You can easily view your PostgreSQL data using the psql tool from the command line, as you saw in Figure 2-4. However, PostgreSQL is not restricted to command-line use. org/, and also bundled with the Windows distributions of PostgreSQL from version 8.
When a user changes a column, you either see it before it changes or after it changes; you never see partial updates. A classic example is a bank database transferring money between two accounts. If, while the money was being transferred, someone were to run a report on the amount of money in all the accounts, it’s very important that the total be correct. It may not matter in the report which account the money was in at the instant the report was run, but it is important that the report doesn’t see the in-between point, where one account has been debited but the other not credited.
It’s easy to sort the data in different ways, and see the features and patterns in the data just by looking at it. Unfortunately, people often mistake a tool that is good for inspecting and manipulating data for a tool suitable for storing and sharing complex and perhaps business-critical data. The two needs are often very different. Most people will be familiar with one or more spreadsheets and quite at home with data being arranged in a set of rows and columns. org/) spreadsheet holding data about customers.