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For most software developers the term database is usually taken to mean an RDBMS (Relational Database Management System) These systems use tables (spreadsheet-like grids) with rows equating to records and columns equating to elds The tables and the data they hold are created and manipulated using statements written in SQL (Structured Query Language) Python provides an API (Application Programming Interface) for working with SQL databases and it is normally distributed with the SQLite 3 database as standard Another kind of database is a DBM (Database Manager) that stores any number of key value items Python s standard library comes with interfaces to several DBMs, including some that are Unix-speci c DBMs work just like Python dictionaries except that they are normally held on disk rather than in memory and their keys and values are always bytes objects and may be subject to length constraints The shelve module covered in this chapter s rst section provides a convenient DBM interface that allows us to use string keys and any (picklable) objects as values If the available DBMs and the SQLite database are insuf cient, the Python Package Index, pypipythonorg/pypi, has a large number of database-related packages, including the bsddb DBM ( Berkeley DB ), and interfaces to popular client/server databases such as DB2, Informix, Ingres, MySQL, ODBC, and PostgreSQL Using SQL databases requires knowledge of the SQL language and the manipulation of strings of SQL statements This is ne for those experienced with SQL, but is not very Pythonic There is another way to interact with SQL databases use an ORM (Object Relational Mapper) Two of the most popular ORMs for Python are available as third-party libraries they are SQLAlchemy (wwwsqlalchemyorg) and SQLObject (wwwsqlobjectorg) One particularly nice feature of using an ORM is that it allows us to use Python syntax creating objects and calling methods rather than using raw SQL.

Activity View The Service Trace Viewer is able to merge the contents of multiple trace and log les Figure 97 shows the Service Trace Viewer with the SelfHost client project s log les loaded

In this chapter we will implement two versions of a program that maintains a list of DVDs, and keeps track of each DVD s title, year of release, length in minutes, and director The rst version uses a DBM (via the shelve module) to store its data, and the second version uses the SQLite database Both programs can also load and save a simple XML format, making it possible, for example, to export DVD data from one program and import it into the other The SQL-based version offers slightly more functionality than the DBM one, and has a slightly cleaner data design

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The shelve module provides a wrapper around a DBM that allows us to interact with the DBM as though it were a dictionary, providing that we use only string keys and picklable values Behind the scenes the shelve module converts the keys and values to and from bytes objects The shelve module uses the best underlying DBM available, so it is possible that a DBM le saved on one machine won t be readable on another, if the other machine doesn t have the same DBM One solution is to provide XML import and export for les that must be transportable between machines something we ve done for this section s DVD program, dvds-dbmpy For the keys we use the DVDs titles and for the values we use tuples holding the director, year, and duration Thanks to the shelve module we don t have to do any data conversion and can just treat the DBM object as a dictionary Since the structure of the program is similar to interactive menu-driven programs that we have seen before, we will focus just on those aspects that are speci c to DBM programming Here is an extract from the program s main() function, with the menu handling omitted:

This screen shows the merged results in the default Activity view The left pane lists each of the activities along with the number of traces they contain, the duration, the start time, and the end time When one or more activities are selected, the upper-right pane shows the individual traces associated with the selected activities

db = None try: db = shelveopen(filename, protocol=pickleHIGHEST_PROTOCOL) finally: if db is not None: dbclose()

A ChoiceGroup defines a group of selectable elements that can be placed within a Form A ChoiceGroup is similar to a List (Section 91, "List"), but it supports only the exclusive and multiple choice modes

Here we have opened (or created if it does not exist) the speci ed DBM le for both reading and writing Each item s value is saved as a pickle using the speci ed pickle protocol; existing items can be read even if they were saved using a lower protocol since Python can gure out the correct protocol to use for reading pickles At the end the DBM is closed this has the effect of clearing the DBM s internal cache and ensuring that the disk le re ects any changes that have been made, as well as closing the le

The program offers options to add, edit, list, remove, import, and export DVD data We will skip importing and exporting the data from and to XML format since it is very similar to what we have done in 7 And apart from adding, we will omit most of the user interface code, again because we have seen it before in other contexts

Service Trace Viewer displays activities containing warning traces highlighted in yellow Those with exceptions in their traces are shown with red text The rst activity, 000000000000, is a dedicated root activity from which all others are linked Moving down the list, we see the activities the client is constructed processed during the program run First, and opened, enabling communications with the service

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