RDB/OO Patterns

It would be good if OO programs could interact with OO databases, but alas, relational databases have a 99% market share. This has led to many attempts to access them from OO languages. Design patterns for doing this have been developed, starting with Crossing Chasms and extending to Rails' ActiveRecord [1][2]. Here, we investigate the various approaches for marrying OO programs to relational databases, comparing them in terms of ease of programming, robustness, and efficiency.

Introduction

This article explores object-relation mapping (ORM), a programming technique that bridges object-oriented languages against relational databases, and compares them against more traditional approaches to database programming such as stored procedures and dynamic SQL. In the process, we examine basic design patterns for bridging this gap, and evaluate several popular ORM frameworks found in popular program languages in the process.

One of the primary problems that object-relational mapping (ORM) attempts to solve is that of transparent object persistence, which allows an object to outlive the process that created it. The state of an object can be stored to disk, and an object with the same state can be re-created in the future. This object data is typically internally stored in a relational database using SQL.

Unfortunately, relational databases lie at the core of any modern Enterprise application, and such tabular representation of SQL data is fundamentally different than the network of objects used in object-oriented applications. ORM allows us to interact with business objects directly in an object-oriented domain model, instead of having to work with rows and columns at the programming level. For an introduction to ORM and the surrounding issues, refer to [3].

Design Patterns

Design patterns provide the theoretical underpinnings for the object-relational tools that we use in practice today. One of the first design patterns exploring the bridge between object-oriented domains and relational domains is Crossing Chasms.

Concentrate Examples

To motivate our discussions, it is helpful to provide a practical, concentrate reference example of object-relational frameworks against traditional dynamic SQL approaches. One can think of these examples as the "Hello World" of DB interfacing.

The Traditional Approach

 <?php
 $link = mysql_connect('localhost', 'mysql_user',
     'mysql_password');
 if (!$link) {
     die('Could not connect: ' . mysql_error());
 }
 echo 'Connected successfully';
 mysql_close($link);
 
 $sql = "SELECT title, date
       FROM   events
       WHERE  id = 1";
 
 $result = mysql_query($sql);
 
 while ($row = mysql_fetch_assoc($result)) {
   echo $row["title"];
   echo $row["date"];
 }
 ?>

The ORM Approach

Using object-relational mapping:

 Session session = HibernateUtil.getSessionFactory().
     getCurrentSession();
 session.beginTransaction();
 
 Event theEvent = new Event();
 theEvent.setTitle(title);
 theEvent.setDate(theDate);
 session.save(theEvent);
 
 session. getTransaction().commit();]

Using a hybrid paradigm such as Microsoft's LINQ:

Comparison

In this section, we discuss the advantages and disadvantages of using object-relational mapping techniques in application development.

Ease of Programming

ORM applications are difficult to initially configure. But once configured, development in ORM is quite straight-forward.

Robustness

Using an ORM layer provides database independence.

Efficiency

Any good studies on this??

Paradigm Mismatches

ORM has experienced criticism, including the notion ORM is The Vietnam of Computer Science.

Other problems that ORM attempts to solve are that of paradigm mismatches. These are outlined as follows: [4]

Problems relating to subtypes. Object-oriented languages implement inheritance through superclasses and subclasses. SQL tables, in contrast, do not generally implement any sort of table inheritance, and they additionally lack an obvious way to implement polymorphism. Mapping class inheritance from the object domain to the relational domain comprises one of the many goals of ORM.
Problems relating to associations. In domain models, associations represent the relationship between entities. Object-oriented languages represent associations using object references, but in relational databases, an association is represented through foreign keys. Object-relational mapping bridges these two concepts.
Problems relating to data navigation. There is also a key difference in the way data is accessed in object-oriented languages and in relational databases. In OOP, one walks the object network, navigating from one object to another. This is not an efficient way to retrieve data from a SQL database, where the goal is to minimize the number of SQL queries. Efficient access in SQL relies on set operations, like joining multiple tables of interest. This mismatch between the way objects are accessed in OOP versus a relational database is the single most common source of performance problems.

Implementations

Languages and environments as diverse as .Net and PHP support ORM [5]. We will focus our comparison on specific implementations of ORM in Java, Ruby on Rails, Microsoft .NET, PHP, ASP Classic, and JDBC.

ORM in Java

In recent years, Java has experienced a paradigm shift from complex heavy-weight frameworks such as Enterprise Java Beans to more light-weight agile frameworks that rely instead of simple Plain Old Java Objects (POJOs). This in turn, has increased the popularity of ORM for Java developers.

Indeed, Object-relational mapping is especially popular in the Java community, compared. for example to .NET developers. [6] Although a plethora of ORM frameworks exist for Java, among the most popular and widespread ORM layers today include Sun's JDO and the somewhat entrenched open source O/R mapping framework, Hibernate.

We begin with Java Data Objects (JDO), which by itself is not a framework, but a specification. The API is a standard interface-based Java model abstraction of persistence, developed under the auspices of the Java Community Process. Frameworks like Apache JDO then implement this specification. JDO aims to provide implementations for not only relational databases, but also object databases, and file systems.

Hibernate is another ORM implementation, and though it is open source, it is often considered "proprietary" because it does not directly implement the JDO specification or Java Community Process specifications. Still, Hibernate's momentum has resulted in it becoming a de facto standard in the Java industry, furthered by frameworks such as Spring that use it as a building block.

http://www.kuro5hin.org/story/2006/3/11/1001/81803

ORM in Ruby on Rails

http://wiki.rubyonrails.org/rails/pages/ActiveRecord

ORM in Microsoft .NET

LINQ in Microsoft .NET

http://msdn.microsoft.com/en-us/netframework/aa904594.aspx

Dynamic SQL in PHP, ASP Classic, and JDBC

Despite the availability of object-relational libaries, dynamic SQL continues to be a popular development mechanism for interfacing with databases. Dynamic SQL is not an object-oriented methodology, but rather a "bare metal" programming approach where SQL strings are directly constructed through concatenation or other low-level mechanisms and then directly passed to the database. The results of such queries are themselves lower level objects like record sets or hash tables.