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As a matter of fact, Listing 6-7 is nothing more than my table-creation script for the Gender table, gender_t.tab, renamed to gender_ot.tab, with a few minor changes. Listing 6-7. An Example of an Object Table Script for GENDER_OT, gender_ot.tab 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 rem gender_ot.tab rem by Donald J. Bales on 12/15/2006 rem create an object table for the Gender codes --drop table GENDER_OT; create table GENDER_OT of GENDER_O tablespace USERS pctfree 20 storage (initial 10K next 10K pctincrease 0); --drop sequence GENDER_ID_SEQ; --create sequence GENDER_ID_SEQ --start with 1; alter table GENDER_OT add constraint GENDER_OT_PK primary key ( id ) using index tablespace USERS pctfree 20 storage (initial 10K next 10K pctincrease 0); alter table GENDER_OT add

Maps are Scala collections and have collection manipulation methods. This means we can use methods including map, filter, and foldLeft. One of the tricky parts of using Java s immutable collections is iterating over the collection and simultaneously removing elements. In my code, I have to create an accumulator for the keys I m going to remove, loop over the collection, find all the keys to remove, and then iterate over the collection of keys to remove and remove them from the collection. Not only that, but I frequently forget how brittle Hashtable is and inevitably forget this sequence and get some nasty runtime errors. In Scala, it s much easier. But there s a simpler way to remove unwanted elements from a Map: def removeInvalid(in: Map[Int, Person]) = in.filter(kv => kv._2.valid)

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code that consumes the materialized UserAccount object does not make use of the role information, then we have made unnecessary JDBC calls. Individually this is insignificant, but collectively the performance hit can be substantial enough to matter. In addition to performance, there are other issues of complexity. The SQL statements used to retrieve the information are somewhat redundant in their design, reflecting the similarities of the underlying tables. Hibernate alleviates these and other problems. At the expense of some leaky abstractions of the detail of JDBC-based data access, the use of Hibernate significantly reduces the overall complexity of the application logic, making your DAO implementations shorter and easier to understand.

C HA PTER 6 JUS T LIK E IT IS IN THE REA L WORLD!

Pretty cool, huh Map has a filter method that works just like List s filter method. The kv variable is a Pair representing the key/value pair. The filter method tests each key/ value pair by calling the function and constructs a new Map that contains only the elements that passed the filter test. Let s finish up our exploration of some of Scala s immutable data types by examining Option.

22 23 24 25 26

Option[T]

constraint GENDER_OT_UK unique ( code ) using index tablespace USERS pctfree 20 storage (initial 10K next 10K pctincrease 0); The CREATE TABLE syntax used in Listing 6-7 is as follows:

To allow Java objects to be represented as tables in a relational database, it is necessary to create a mapping between the database objects and the Java classes. When Hibernate is configured, it reads in the mapping information and uses this to build a model in memory representing these relationships. The Hibernate mappings can be supplied in two ways: as proprietary XML files, or using Java 5 annotations. My example application uses Java 5 annotations. I do not use the Hibernate XML mapping approach because it is considerably more verbose and less transparent than the annotationsbased approach. Listing 4-11 shows the UserAccount entity from Listing 4-1 with appropriate annotations added for my Hibernate implementation.

Option[T] provides a container for zero or one element of a given type. Option provides a very powerful alternative to Java s null. An Option[T] can be either Some[T] or None. None is an object. There is a single instance of None in your Scala program, so it s kind of like null. But None has methods on it, so you can invoke map, flatMap, filter, foreach, and so on no matter whether you have Some or None.

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