aboutsummaryrefslogtreecommitdiff
path: root/qt/README
diff options
context:
space:
mode:
authorConstantin Michael <constantin@codesynthesis.com>2011-04-07 12:47:27 +0200
committerConstantin Michael <constantin@codesynthesis.com>2011-04-22 18:45:40 +0200
commit5da0df2986a62e1254d27c8cfbc383ba580555e1 (patch)
tree4f75a607951d1124f3b19062593905d12f027b3a /qt/README
parent2534ea4dd7196828ba8446921c7b552087055114 (diff)
Update examples to include qt/basic and qt/date-time usage
Diffstat (limited to 'qt/README')
-rw-r--r--qt/README24
1 files changed, 15 insertions, 9 deletions
diff --git a/qt/README b/qt/README
index 94663e1..b67eea4 100644
--- a/qt/README
+++ b/qt/README
@@ -4,13 +4,19 @@ containers, and value types with the help of the Qt profile library
The example consists of the following files:
-person.hxx
- Describe contents.
-
-person-odb.hxx
-person-odb.ixx
-person-odb.cxx
-person.sql
+employee.hxx
+ Header file defining the 'employee' and 'employer' persistent classes.
+ We use QSharedPointer/QWeakPointer smart pointers provided by Qt (as
+ well as their lazy versions provided by the Qt profile library) to
+ establish a bidirectional employee-employer relationship. We also use
+ the QDateTime type to store the employee's date of birth and QString
+ to store the employee's first and last name. Finally we use QByteArray
+ to represent the persons genetic fingerprint.
+
+employee-odb.hxx
+employee-odb.ixx
+employee-odb.cxx
+employee.sql
The first three files contain the database support code and the last file
contains the database schema for the employee.hxx header.
@@ -39,8 +45,8 @@ driver.cxx
instance. It then creates a number of 'employee' and 'employer' objects and
persists them in the database. The next transaction loads all the employees
of a particular employer using the employee-employer relationship. Finally,
- the driver performs a database query which uses a data member of the Boost
- gregorian::date type in its criterion.
+ the driver performs a database query which uses a data member of the Qt
+ QString type in its criterion.
To run the example we first need to create the database schema. Using MySQL
as an example, this can be achieved with the following command: