Database Access with Jython, Hibernate and SQLAlchemy - Oracle

Database Access with Jython, Hibernate and 

SQLAlchemy 

Frank Wierzbicki, Jython Project Lead 

http://www.jython.org

Why Jython? 

Jython brings the Python language to the JVM technology 

Python is a very mature language which was designed to be 

easy to pick up but powerful to use 

Jython has full and nearly seamless integration into any Java 

platform and code 

Jython can access many of the libraries and frameworks 

written in Python 

2008 JavaOne SM Conference | java.sun.com/javaone | 2

Basic Jython Demo 


DB-API, JDBC API, and Jython 

Jython has built in support for DB-API, Python's standard 

database interface in the zxJDBC package 

zxJDBC is a thin wrapper around JDBC API, Java platform's 

standard database interface 

Python programmers get access to any database with a JDBC 

API driver 

Java platform programmers get access to any Python 

frameworks that are built on DB-API 


Basic Connection 

from com.ziclix.python.sql import zxJDBC 

try: 

cursor = None 

db = None 

try: 

db = zxJDBC.connect("jdbc:mysql://localhost/test", 

'user', 'pass', "org.gjt.mm.mysql.Driver") 

cursor = db.cursor() 

cursor.execute("select name from user") 

for row in cursor.fetchall(): 

print row 

finally: 

if cursor is not None: 

cursor.close() 

if db is not None: 

db.close() 

except Exception, reason: 

print reason 


Connection from DataSource 

#Use connectx if you are connecting to a DataSource. 

#This is often useful when you are working from an 

#application server that uses connection pooling 

from com.ziclix.python.sql import zxJDBC 

dbInfo = {'user':'username', 'password':'pass', 

'mydb':'test', 'server':'localhost', 

'port':3306} 

con = zxJDBC.connectx("org.gjt.mm.mysql.MysqlDataSource", 

**dbInfo) 

#Or you can connect via JNDI 

factory = "com.sun.jndi.fscontext.RefFSContextFactory" 

db = zxJDBC.lookup('context/myDataSource'), 

INITIAL_CONTEXT_FACTORY=factory) 


Using Swing Tables From Jython 

from javax.swing import JTable 

from javax.swing import JFrame 

rowdata = [('bill', 'Bill Williams')] 

colnames = ['user name', 'full name'] 

table = JTable(rowdata, colnames) 

frame = JFrame("Table") 

frame.getContentPane().add( table ) 

frame.size = 400, 300 

frame.visible = 1 


Basic zxJDBC Demo 

DB-API and JDBC API taste great together 


Object Relational Mappings (ORMs) 

Handling raw SQL in object oriented programs can feel 

tedious for many programming tasks 

Object Relational Mappers help make Table based data feel 

more like objects from an OO style program 

Two styles of ORM in common use: Active Record and Mapper 

Handling raw SQL in object oriented programs can feel 

tedious for many programming tasks 

Object Relational Mappers help make Sun Access Table 

Editor (Table) software based data feel more like objects 

from an OO style program 


Active Record 

Active Record style ORMs tend to be simpler to use 

Generally there is a one to one mapping between tables and 

objects 

Very easy to reason about the relationships between objects 

and tables 

Django uses an active record pattern 


Django Demo 


Data Mapper 

Data Mapper style ORMs are more “DBA friendly – DBAs don't 

like 1:1 object:table 

The mapping between objects and tables needs to be more 

explicit 

Data Mappers tend to be more flexible and can be used for 

harder problems (for example: legacy databases that can't be 

made to fit ActiveRecord) 


Hibernate 

As if Hibernate needs an introduction here :) 

Hibernate is a native Java platform ORM based on Data 

Mapper 

Very mature, very stable technology 

Has a very good reputation 

Has a huge install base 


Hibernate From Jython Demo 


SQLAlchemy 

Data Mapper style ORMs are more “DBA friendly – DBAs don't 

like 1:1 object:table 

The mapping between objects and tables needs to be more 

explicit 

Data Mappers tend to be more flexible and can be used for 

harder problems (for example: many existing databases that 

can't be made to fit ActiveRecord) 


SQLAlchemy Demo 


For More Information 

http://www.python.org 

http://wiki.python.org/jython 


Frank Wierzbicki 

http://www.jython.org 


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