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Each block of numbers with equal digit length can now be sorted individually (with radix sort) (Do you see how this still gives a total running time of ( di ), and how we actually get all the numbers sorted correctly in the end ) 4-14 Represent them as two-digit numbers, where each digit has a value range of 1 n (Do you see how to do this ) You can then use radix sort, giving you a linear running time in total 4-15 The list comprehension has a quadratic running time complexity 4-16 See 2 for some hints on running experiments 4-17 It cannot be placed before this point, and as long as we don t place it any later, it cannot end up after anything that depends on it (because there are no cycles) 4-18.

In the previous chapters, you saw that when you executed save() on the Todo instance, GORM would only persist the data if the validations (set in the constraints) passed for the domain. The save() would return a true or false depending on if persisting was successful or not. Now the real question is, How do you know what to validate Constraints are somewhat of a dual-use item. Their main functionality is to validate items before they re persisted to the database, but they also can adjust some of the settings on the database itself for the column. For example, if you mark a column in your constraints as nullable or set a maximum length, then these changes will be reflected at the database level as well. Out of the box, GORM comes with quite a few validations, and it even provides the framework for creating a few custom validations of your own. For the purpose of the sample application, you only need a small subset of those validations, so while we will list all of them here, you ll only use a few. In addition, just like any application, it would be impossible for all the built-in validations to cover every situation, so we ll also introduce the idea of custom validations. We will then close with a discussion about how to change the messages to something a bit more meaningful.

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SQL> SELECT :rv rv, :msg msg FROM dual; RV MSG --- ---------------------------------------------------------------------------1 piece handle=DB-TEN-JHIN5G18BKP tag=TAG20070718T172808 comment=NONE After the successful backup, an entry describing the corruption is created in V$DATABASE BLOCK CORRUPTION SQL> SELECT * FROM v$database block corruption; FILE# BLOCK# BLOCKS CORRUPTION CHANGE# CORRUPTION TYPE ---------- ---------- ---------- ------------------ --------------7 20 1 0 FRACTURED Note that rows are not added to V$DATABASE BLOCK CORRUPTION after a failed backup due to one or more corruptions To repair the corruption, perform block media recovery by running the RMAN command BLOCKRECOVER (eg, BLOCKRECOVER DATAFILE 7 BLOCK 20) To terminate RMAN, send a message containing the command EXIT as shown here: SQL> BEGIN :cmd:='exit;'; :rv:=site sysrman pipe ifsend(:pipe arg, :cmd); END; / RMAN responds with another message and exits SQL> EXEC :rv:=site sysrman pipe if.

You could generate DAGs by, for example, randomly ordering the nodes, and add a random number of forward-pointing edges to each of them 4-19 This is quite similar to the original You now have to maintain the out-degrees of the remaining nodes, and insert each node before the ones you have already found (Remember not to insert anything in the beginning of a list, though; rather, append, and then reverse it at the end, to avoid a quadratic running time) 4-20 This is a straightforward recursive implementation of the algorithm idea 4-21 A simple inductive solution would be to remove one interval, solving the problem for the rest, and then checking whether the initial interval should be added back The problem is that you d have to check this interval against all the others, giving a quadratic running time overall You can improve this running time, however.

You ve already seen constraints in 4. These were used to determine whether some properties had to be filled in on the domain object, and also to set the order of display when scaffolding the domain. Let s expand a bit and look at what other features you can use constraints for. You have seen the nullable constraint, which not only verifies that the object is not null, but also sets the database property to not null (in Figure 6-2, you can see many properties are set to not null ). Of course, this assumes you re using GORM to create or update your database. Let s start with the familiar Todo object, since this is the object you re going to want to apply the most validations to. Start with the basic skeleton shown in Listing 6-19.

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