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There is one problem I haven t discussed yet, and that is how SQLAlchemy manages objects in memory. After all, it wouldn t be efficient for it to contact the database every time you accessed an attribute of an object. SQLAlchemy handles this problem by keeping track of objects in memory in what it calls a session.

When dealing with integer values, it is best to use qint8, qint16, qint32, or qint64 instead of the short, int, and long data types that can change sizes between platforms The second issue, versioning, involves making sure that you read and write the data using the same version of Qt because the encoding of the binary data has changed between the different versions of Qt To avoid this problem, you can set the version of the QDataStream with the setVersion(int) method If you want to use the data stream format from Qt 10, set the version to QDataStream::Qt_1_0 When creating a new format, it is recommended to use the highest possible version (for Qt 42 applications, use QDataStream::Qt_4_2) All the basic C++ types and most Qt types such as QColor, QList, QString, QRect, and QPixmap can be serialized through a data stream.

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The SQLAlchemy session is completely unrelated to the Beaker session, which provides session management between requests using a cookie. It s unfortunate that two different pieces of software chose the term session to mean completely different things.

An external device allows the owner of a key to remove the key from the host system, and maintain physical possession of the device that carries the key. However, all of the options introduced are vulnerable to situations in which the host system the device is connected to has been compromised and is running malicious code. Such malicious code could, for instance, make the user believe that she is providing her key to authorize an intended transaction, but actually causes the key to be used to authorize a modified or entirely different transaction. An important advantage arises from devices where the cryptographic operation (e.g., digital signature) is actually executed on the device, and where the private key material never leaves the device (e.g., smart cards or HSMs). If the device is connected to a compromised host, the attacker s malicious code may be able to use the device to perform cryptographic operations with the user s key while it is connected. However, unlike in the case of a key disk, the malicious code cannot extract the key and continue using it after the device has been disconnected again.

To make it possible to serialize a type of your own, such as a custom struct, you need to provide << and >> operators for your type Listing 8-6 shows the ColorText structure and the redirect operators for it The structure is used for keeping a string and a color..

SQLAlchemy provides different configuration options for the session depending on the type of application you are writing You can read all about the various options in the SQLAlchemy documentation, but in this section you ll use the same configuration options used by Pylons You ll also use the modelpy you ve just created Create a new file called object_testpy in the same directory as modelpy, and add the following content: import model from sqlalchemy import orm from sqlalchemy import create_engine # Create an engine and create all the tables we need engine = create_engine('sqlite:///:memory:', echo=True) modelmetadatabind = engine modelmetadatacreate_all() # Set up the session sm = ormsessionmaker(bind=engine, autoflush=True, autocommit=False, expire_on_commit=True) session = ormscoped_session(sm) Let s look at this in detail First you have a number of imports including the model module you created earlier.

Once keys have been generated and stored safely, they can be used to initiate a conversation (e.g., between Alice and Bob). In the case that Alice and Bob already have access to the same

Next you create an engine as you ve done before using the echo=True argument so that the SQL being generated behind the scenes gets output to the console (remember that you shouldn t use this argument in a Pylons application and instead should use the logging technique described in 20) Finally, you get into the interesting part and create the session itself In this example, the session is created in two parts First you use a sessionmaker() function to return an object for building the particular type of session you want To understand what the options mean, you need to know a little terminology In SQLAlchemy, flushing is the process of updating the database with the changes made to the objects you have been working with, and committing is the process of sending a COMMIT statement to the database to make those flushes permanent.

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