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iBATIS works extremely well in an enterprise database environment. It has a number of features that make it ideal for working with complex database designs and large data sets. iBATIS also works well with multiple databases and does not assume that any type of object is coming from only one database. It also supports complex transactions that require multiple databases to be involved in a single transaction. Furthermore, iBATIS isn t only useful for online transactional systems, but works very well for both implementing reporting and integration systems.

The heappop function pops off the smallest element, which is always found at index 0, and makes sure that the smallest of the remaining elements takes over this position (while preserving the heap property). Even though popping the first element of a list isn t terribly efficient in general, it s not a problem here, because heappop does some nifty shuffling behind the scenes: >>> 0 >>> 0.5 >>> 1 >>> [2, heappop(heap) heappop(heap) heappop(heap) heap 5, 3, 6, 9, 8, 4, 7]

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If you ve been working with software for any length of time, you ve no doubt heard of the build versus buy debate That is, should we build our own solution to a business problem, or buy a package that claims to solve the problem already Often the cost is about the same (otherwise there would be no debate), but the real trade-off is between time to implement and the fit to the problem Custom-built software can be tailored to an exact fit to business need, but takes more time to implement Packages can be implemented very quickly, but sometimes don t quite meet every need For that reason, when a choice is made to buy a package, businesses often decide that they can get the best of both worlds by digging into the proprietary database of the software to extend it just for the features that are missing.

Figure 4-7. Designating the database for deployment Select the Create New Database option, and name the new database CarModel. Once the model is deployed, you can use the Quadrant Explorer to view, add, and edit data (see Figure 4-8).

The heapify function takes an arbitrary list and makes it a legal heap (that is, it imposes the heap property) through the least possible amount of shuffling. If you don t build your heap from scratch with heappush, this is the function to use before starting to use heappush and heappop: >>> >>> >>> [0, heap = [5, 8, 0, 3, 6, 7, 9, 1, 4, 2] heapify(heap) heap 1, 5, 3, 2, 7, 9, 8, 4, 6]

We could discuss the horror stories of such a scenario, but it s probably better just to know that such proprietary databases were likely not meant to be touched by third parties The designs are often full of assumptions, limitations, nonstandard data types, and other warning signs that can be easily read as Enter at Your Own Risk Regardless of the warning signs, businesses will do amazing things to save a few dollars So software developers get stuck with navigating the jungle that is the proprietary database iBATIS is an excellent persistence layer for interfacing with proprietary databases Often such databases allow for read-only access, which you can feel confident about when using iBATIS because you can restrict the kinds of SQL that are run iBATIS won t perform any magical updates to the database when they aren t expected.

If updates are required, proprietary databases are often very picky about how the data is structured iBATIS allows you to write very specific update statements to deal with that..

The heapreplace function is not quite as commonly used as the others. It pops the smallest element off the heap and then pushes a new element onto it. This is a bit more efficient than a heappop followed by a heappush: >>> heapreplace(heap, 0.5) 0 >>> heap [0.5, 1, 5, 3, 2, 7, 9, 8, 4, 6] >>> heapreplace(heap, 10) 0.5 >>> heap [1, 2, 5, 3, 6, 7, 9, 8, 4, 10] The remaining two functions of the heapq module, nlargest(n, iter) and nsmallest(n, iter), are used to find the n largest or smallest elements, respectively, of any iterable object iter. You could do this by using sorting (for example, using the sorted function) and slicing, but the heap algorithm is faster and more memory-efficient (and, not to mention, easier to use).

Click View Explorer in the menu bar, and select CarModel. This should display an Explorer pane, as shown in Figure 4-9.

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