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In this chapter, we will look at zxJDBC package, which is a standard part of Jython since version 2.1 and complies with the Python 2.0 DBI standard. zxJDBC can be an appropriate choice for simple one-off scripts where database portability is not a concern. In addition, it s (generally) necessary to use zxJDBC when writing a new dialect for SQLAlchemy or Django. (But that s not strictly true: you can use pg8000, a pure Python DBI driver, and of course write your own DBI drivers. But please don t do that.) So knowing how zxJDBC works can be useful when working with these packages. However, it s too low level for us to recommend for more general usage. Use SQLAlchemy or Django if at all possible. Finally, JDBC itself is also directly accessible, like any other Java package from Jython. Simply use the java.sql package. In practice this should be rarely necessary. The second portion of this chapter will focus on using object relational mapping with Jython. The release of Jython 2.5 has presented many new options for object relational mapping. In this chapter we ll focus on using SQLAlchemy with Jython, as well as using Java technologies such as Hibernate. In the end you should have a couple of different choices for using object relational mapping in your Jython applications.

sudo fdisk -l /dev/hdb 3. This will list the partitions on the second disk drive (assuming an average PC

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The main configuration file for the DHCP server is /etc/dhcp3/dhcpd.conf. Everything is configured in this file except startup parameters for the DHCP server. Listing 9-10 is an example configuration file that contains some of the most important options from the example file that s copied to your server after installation of the DHCP server. Listing 9-10. The DHCP Server s Main Configuration File is /etc/dhcp3/dhcpd.conf root@RNA:~# cat /etc/dhcp3/dhcpd.conf # # Sample configuration file for ISC dhcpd for Debian # # $Id: dhcpd.conf,v 1.4.2.2 2002/07/10 03:50:33 peloy Exp $ # # option definitions common to all supported networks... option domain-name "fugue.com"; option domain-name-servers toccata.fugue.com; option subnet-mask 255.255.255.224; default-lease-time 600; max-lease-time 7200; #subnet 204.254.239.0 netmask 255.255.255.224 { # range 204.254.239.10 204.254.239.20; # option broadcast-address 204.254.239.31; # option routers prelude.fugue.com; #} # The other subnet that shares this physical network #subnet 204.254.239.32 netmask 255.255.255.224 { # range dynamic-bootp 204.254.239.10 204.254.239.20; # option broadcast-address 204.254.239.31;

system). With most hard disks used under Windows, you should find a single partition that will be either NTFS or FAT32. The examples here assume that this is hdb1.

The zxJDBC package provides an easy-to-use Python wrapper around JDBC. zxJDBC bridges two standards: JDBC is the standard platform for database access in Java. DBI is the standard database API for Python apps.

program is designed to partition disks and can wipe out your data if you re not careful!

# option routers snarg.fugue.com; #} #subnet 192.5.5.0 netmask 255.255.255.224 { # range 192.5.5.26 192.5.5.30; # option name-servers bb.home.vix.com, gw.home.vix.com; # option domain-name "vix.com"; # option routers 192.5.5.1; # option subnet-mask 255.255.255.224; # option broadcast-address 192.5.5.31; # default-lease-time 600; # max-lease-time 7200; #} # # # # Hosts which require special configuration options can be listed in host statements. If no address is specified, the address will be allocated dynamically (if possible), but the host-specific information will still come from the host declaration.

disk, type the following:

ZxJDBC, part of Jython, provides a DBI 2.0 standard compliant interface to JDBC. Over 200 drivers are available for JDBC (http://developers.sun.com/product/jdbc/drivers), and they all work with zxJDBC. High performance drivers are available for all major relational databases, including DB2, Derby, MySQL, Oracle, PostgreSQL, SQLite, SQL Server, and Sybase. And drivers are also available for nonrelational and specialized databases, too. However, unlike JDBC, zxJDBC when used in the simplest way possible, blocks SQL injection attacks, minimizes overhead, and avoids resource exhaustion. In addition, zxJDBC defaults to using a transactional model (when available), instead of autocommit. First we will look at connections and cursors, which are the key resources in working with zxJDBC, just like any other DBI package. Then we will look at what you can do them with them, in terms of typical queries and data manipulating transactions.

For an NTFS disk, type the following:

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