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Connection pools can quickly become quite complex, so if you are interested in using them, you should read the SQLAlchemy documentation for further information: http://wwwsqlalchemyorg/docs/05/dbenginehtml#dbengine_options http://wwwsqlalchemyorg/docs/05/poolinghtml In the following sections, you ll learn about other APIs you can use with SQLAlchemy including the Metadata, SQL Expression, and Object-Relational APIs These APIs abstract away the engine and connections so that you don t need to work with them directly Behind the scenes, they will all use connections and engines to perform their work, so it is useful to understand how they work and, in particular, to know how to create engines with the appropriate options.

How to generate keys depends on the type of algorithm with which the key is expected to be used. When using many symmetric encryption algorithms, a key can be generated at random. We will discuss exactly what we mean by random shortly. Also, in some symmetric algorithms, some keys are considered to be weak. For example, due to the mathematics of how DES works, keys that are all zeros or all ones will result in a self-inversion in which F(F(m,k),k) = m. That is, encrypting twice will result in decryption. If such a weak key is used, and an adversary could trick Alice into encrypting ciphertext, the adversary would be able to obtain the plaintext without even knowing the key! To be most cautious, such weak keys should be checked for and discarded instead of being used. While keys for symmetric algorithms can, for the most part, be generated at random, weak keys should be avoided.

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The flipside of this is that SQLAlchemy engines will work without any of the other SQLAlchemy infrastructure being in place so that even if you want to work directly with SQL rather than using the rest of SQLAlchemy s powerful feature set, it makes sense to use an SQLAlchemy connection rather than a DB-API connection so that you get all of SQLAlchemy s other benefits such as connection pools and result proxies You can find full information about engines and connections as well as threading implications in the excellent SQLAlchemy engine documentation at http://wwwsqlalchemyorg/docs/05/dbenginehtml..

You can override these methods to interact with the user through the shape The mousePressEvent and mouseReleaseEvent methods react to the mouse buttons, while the itemChange method can be used to filter and react to all changes to the item You use it to react to and limit the moving of the widget The private section ends the class declaration It contains all the local states and variables that are needed The following list summarizes their roles and uses (you will look more closely at how they are used in the rest of this section): m_item: The QGraphicsItem that the handles acts on m_role: The role of the handle m_color: The color of the handle m_handles: A list of other handles acting on the same m_item required by center handles m_pressed: A Boolean that indicates whether the mouse button is pressed.

Now that you ve seen how the Engine API has abstracted how SQL queries are executed and how results are returned, you can turn your attention to how SQLAlchemy abstracts the tables and other schema-level objects of the database itself. It does this with database metadata. To represent the various different data types that table columns can store, SQLAlchemy uses its types system. Together the types system and metadata can completely describe the database schema in an RDBMS-independent manner. The following is part of a table to store information about a page. Add this code to a new file called metadata_test.py.

This is important because you need to be able to tell whether the handle is moving because of user interaction or programmatic changes..

1. The password better be strong, long, and very random!

from sqlalchemy import schema, types metadata = schemaMetaData() page_table = schemaTable('page', metadata, schemaColumn('id', typesInteger, primary_key=True), schemaColumn('name', typesUnicode(255), default=u''), schemaColumn('title', typesUnicode(255), default=u'Untitled Page'), schemaColumn('content', typesText(), default=u''), ) Here you ve created a metadata object from schemaMetaData, which will hold all the information about the tables, columns, types, foreign keys, indexes, and sequences that make up the database structure You ll see more about how these are used later in the chapter You ve then created a schemaTable object to describe the page table and passed it the metadata object This is so that the table object can add information about the table to the metadata object SQLAlchemy is then able to access the table information via the metadata object Add the following to the end of the metadata_testpy file too: for t in metadata.

Listing 7-23. The handle class class HandleItem; class HandleItem : public QGraphicsItem { public:

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