In the previous post I described how to combine multiple
QSqlQueryModels in order to create a hierarchy of items which can be displayed in a
Our class (let's call it
SqlTreeModel) will inherit
QAbstractItemModel and therefore must implement at least the five pure virtual methods:
data. The implementation of
parent is based on the internal data structures which I described in the previous article. Those methods are used to enumerate items and navigate back and forth within the tree. They are not very complex and I will not describe them here in detail; you can peek into the code of the WebIssues client if you are interested.
data method is also pretty straightforward; it determines the level of the item and delegates the implementation to the model associated with the level. It also maps the row and column from the tree model to the underlying SQL query model. Mapping of rows is based on the internal data structures, which I described previously.
How columns are mapped depends on what is needed in a particular situation. In the simplest case, they could be simply mapped one-to-one to the underlying SQL models; the first column of the tree would correspond to the first column in every SQL query model (after skipping identifiers used to build relations between parent and child items), and so on. So the number of columns in the tree view (as returned by
columnCount) would be determined by the largest number of columns in all dependent models.
SqlTreeModel works by default, but it also allows customizing this default column mapping. Let's suppose that we want to display a different icon depending on the state of the item. The state can be retrieved from the database as a separate column in the SQL query model. However we don't want this column to be displayed directly in the view, but instead its values should be used to modify data (in this case, the icon) of another column.
This can be done by inheriting the
SqlTreeModel and reimplementing the
data virtual method. When retrieving the decoration of the specific column at the specific level, it would ask for the value of the appropriate column in the SQL query model and return the appropriate icon. In other cases, it would call the default implementation. We also need to customize column mapping, so that this extra column, containing the state of the item, is not displayed. The column mapping can be simply a list of indexes in the SQL query model that correspond to subsequent columns in the tree model.
The value of a specific column can also be calculated using some algorithm based on several source columns or an external data source. In that case we can map it to a placeholder (represented by a negative value) instead of a specific column in the underlying model.
Yet another problem related to handling columns is retrieving column headers. We can delegate the
headerData virtual method to one of the child SQL query models, but with different number of columns and various mappings, this can quickly become difficult to manage. I took a simpler approach - I simply implemented
headerData so that they store all passed values, just like the
QSqlQueryModel does. So after adding all child SQL models and setting up column mappings, we can simply set column headers by calling
setHeaderData for each column.
It's getting complicated, isn't it? In the next post I will describe how to handle sorting and how to update the model without losing the state of expanded and selected nodes in the tree view associated with our model.
Qt provides an easy way of populating a table view using an SQL query by using the
QSqlQueryModel. It can also be used with a
QTreeView, but only for displaying flat lists. If we want to display a hierarchy of items based on a set of SQL queries, we have to subclass the
QAbstractItemModel on our own, which is not an easy task.
There are many ways in which hierarchies of items can be created and it's probably difficult to abstract it and create an universal solution. The first category is a "homogeneous" tree, in which all items represent the same class of entities, and which could be populated using a single query with Id and ParentId columns. Items whose ParentId is NULL represent top-level items, and items with given ParentId are children of the corresponding parent item. An example would be a tree of categories, which can have sub-categories, sub-sub-categories, etc.
Another category is a "heterogeneous" tree, where each level of the hierarchy corresponds to a different class of entities (i.e. a different table). That's the case which I faced in WebIssues. One of the trees contains projects, which can have child folders, and folders in turn can have child alerts. Another tree contains issue types and their corresponding attributes. There can also be various combinations of these two categories, and more complex scenarios, but they usually can be derived in one way or another from the "heterogeneous" solution, so I will focus only on that case.
To create a tree model based on multiple related SQL queries, we need the following components:
QAbstractItemModelproviding an implementation of all its abstract methods
QSqlQueryModels, each of which contains items at a different level of hierarchy
For now I will skip the implementation of the model's abstract methods, as this is a topic for a separate post. Let's assume that we want to represent the following simple tree of items:
+ Project 1
| + Folder 1
| | + Alert 1
| | + Alert 2
| + Folder 2
+ Project 2
+ Folder 3
The first level of the hierarchy will be populated using an SQL query returning identifiers and names of projects, for example:
| ProjectId | Name |
| 1 | Project 1 |
| 2 | Project 2 |
The second level of hierarchy will be based on the following query results:
| FolderId | ProjectId | Name |
| 1 | 1 | Folder 1 |
| 2 | 1 | Folder 2 |
| 3 | 2 | Folder 3 |
As you can see, the first two folders belong to the first project, and the third folder belongs to the second project, just like on the first diagram. A similar query, this time with AlertId, FolderId and Name columns, can be used to populate alerts, i.e. the third level of hierarchy, and this could be continued to create even more levels.
We assumed that the first column is always the primary key, and the second column is the foreign key related to the parent table (except for the first, root level). So these columns constitute the structure of the tree. Subsequent columns contain data which is displayed in the tree view (there can be more columns than just the name, but that's also a topic for another post).
Now let's get to the internal structures which are needed to keep track of items and relations between them. As you know, each item, or rather cell, of the Qt data model, is represented by an index. The index consists of a row index, column index and an optional parent index. In case of a flat list or table, there are no parent/child relations between items, so the row and column indexes are sufficient to describe a cell. In a tree model, the index must also contain a pointer to some internal data structure, which is necessary to determine the parent index and to keep track of the child items.
At the minimum, the internal data structure (let's call it a "node" for simplicity) should store the level of hierarchy, at which it is located, and the index of the parent item in the parent node. Note that the node does not correspond to a single item in the model, but rather to a group of items with the same parent.
For example, in the model shown on the first diagram, there would be four nodes. The first node, or the root node, represents all top level items, i.e. all projects. It has a level of 0 and the parent index is irrelevant since it has no parent. The second node represents two folders which belong to Project 1, with a level of 1 and the parent index of 0 (i.e. the index of Project 1 in the first SQL model). The third node represents the single folder belonging to Project 2 (with a level of 1 and parent index of 1). The fourth node represents the alerts belonging to Folder 1 (with a level of 2 and parent index of 0).
Obviously the model needs to keep track of the node structures, so at each level of the tree there should be some kind of a container for its nodes. Also, to make navigation around the tree easier and more efficient, we need some additional data structures serving as sort of indexes. We need to be able to find both parent and child indexes of a given index, and to map indexes of our tree model to indexes of the associated
QSqlQueryModels and vice versa, and it's not as easy as it seems.
In the next post I will describe some of the nuances of implementing the model itself.
Recently I've been trying to solve a problem in WebIssues which manifests itself as a short delay just before connecting to the server. The UI just freezes for about two seconds. It seemed strange because all network operations are asynchronous so there shouldn't be any delay. A few experiments involving the new
QElapsedTimer class revealed that the entire time was spent in the constructor of the
CommandManager, i.e. the class responsible for communication with the server.
At the first glance the constructor simply creates a
QNetworkAccessManager object and connects to a few signals. But the construction of the network access manager only takes several milliseconds, so where's rest of the time spent? What is easy to forget is that a constructor of an object implicitly calls the default constructors of all its fields, if they have such constructors. Two such members caught my attention: a
QSslCertificate and a
QSslConfiguration fields which are used when connecting to the server via the HTTPS protocol.
Debugging through the code I found that the default constructor of
QSslConfiguration does nothing interesting, but the constructor of
QSslCertificate always calls the following function, even when an empty certificate is being constructed:
This innocent looking function loads the OpenSSL libraries, initializes all encryption algorithms, seeds the random generator and loads default ciphers and certificates. No wonder it takes whole two seconds! We should keep this in mind and avoid creating an instance of the certificate until it's really needed; it doesn't make sense to load the OpenSSL libraries if we're not using a secure connection at all.
But why does the command manager need a certificate field? It's because of the way it handles the
sslErrors signal of the network access manager. Instead of simply cancelling the connection, a dialog box is displayed containing a list of errors and a button which shows the details of the certificate. The user can cancel the connection or ignore the errors and proceed. However if another command is sent to the server after some time, the connection may be closed and it needs to be reestablished, resulting in the
sslErrors signal being triggered again.
Obviously we don't want to constantly bother the user with the same error message, that's why the command manager stores the certificate once it's presented to the user and all further errors related to that certificate are silently ignored.
The solution was simple: I replaced the
QList<QSslCertificate>. The list is initially empty, so no instance of the certificate is created when the command manager is constructed. An additional benefit is that the program remembers all ignored certificates, not just the most recent one.
Obviously the delay will still occur at some point if the connection is secure, but that will happen while processing asynchronous events and the UI will be refreshed by that time, so there's a good chance that the user won't even notice the delay.
Some time ago I wrote about creating a custom collation for SQLite, integrating SQLite in a Qt application and creating a custom SQLite driver. Although it's a bit of inconvenience, there are also additional benefits of having a custom SQLite driver, for example better support for debugging.
Tracing executed queries is very useful for debugging complex applications because it gives an idea what's happening during its execution without need to debug it line by line. Most server based database systems include tracing functionalities, but in case of a server-less database such as SQLite the only option is to build in tracing into the client.
There are at least two ways of doing that. The simplest one is to modify the
SQLiteDriver::prepare method and include code which prints out the query:
qDebug() << "SQLite:" << query;
The disadvantage of that solution is that if the query contains parameters, their values will not be printed. Furthermore, if the query is prepared once and executed multiple times with various parameters, it will still be printed only once.
Luckily SQLite gives us an API function which can be used to trace executed queries. First we need to define a callback function:
static void trace( void* /*arg*/, const char* query )
qDebug() << "SQLite:" << QString::fromUtf8( query );
Now we can register the function using the following code:
sqlite3_trace( db, trace, NULL );
Voilà! All executed queries are printed and SQLite automatically replaces the parameter placeholders with appropriate values.
Another thing that is very useful for debugging is information about errors. Printing out all error messages makes debugging a lot easier, especially that it's quite difficult to handle
QSqlQuery errors properly in all places.
SQLite does not have a callback for reporting errors, but
QSqlResult, which is a base class of the
SQLiteResult has a virtual method called
setLastError. It is called with appropriate error details whenever some SQLite function return an error. Normally it only stores the error so it is available by using the
lastError mehod. All we need to do is override it so that is prints out the error:
void SQLiteResult::setLastError(const QSqlError& e)
qDebug() << "SQLite error:" << e.driverText() << e.databaseText();
driverText is the description of the operation that was performed and
databaseText is the error message returned by SQLite.
When the error occurs while preparing the statement, for example because the query has invalid syntax, the trace method is not called and no information about the query that failed is printed. The simplest solution is to manually call the trace method when
sqlite3_prepare16 returns an error:
trace( NULL, query.toUtf8().constData() );
QSqlDriver class also has a virtual
setLastError method which can be overloaded is order to report errors related to opening the database and handling transactions.
Tracing should obviously be disabled in release builds; it's generally a good idea to disable it by default and only enable it conditionally, for example when a special preprocessor macro is defined.
SQLite stores all text as Unicode characters encoded using either UTF-8 or UTF-16 encoding. The API contains functions which allow passing and retrieving text using either UTF-8 or UTF-16 encoding. These functions can be freely mixed and proper conversions are performed transparently when necessary.
The SQLite driver for Qt uses the UTF-16 version of most functions, because that encoding is used internally by the
QString class. However SQLite uses the default UTF-8 encoding internally, so it needs to convert all text back and forth when reading and writing data. Usually such conversions does not affect performance very much. The benefit of using UTF-8 encoding internally is that it requires less storage than UTF-16. According to this email from the SQLite mailing list, the performance gain resulting from reduced size of the database is much bigger than the cost of the conversion.
However there is one case when the cost of conversion may become significant. In the previous post I showed how to implement custom collation based on
QString::localeAwareCompare. I mentioned that the function expects text to be encoded using UTF-16 encoding because that allows passing it directly to
QString. The use of
fromRawData ensures that the data is not even copied to a separate buffer. However SQLite still needs to copy both compared strings to a temporary buffer and convert them from UTF-8 to UTF-16 and this happens every time the strings are compared, which is O(N·logN) when sorting query results by a text column.
I made a little experiment to see which storage format is better in such case and the results are a bit surprising. It turns out that UTF-16 is 4% faster than UTF-8 when sorting 1000 rows and 7% faster when sorting 10,000 rows. However UTF-8 becomes faster with large amounts of data - it is 27% faster than UTF-16 when sorting 100,000 rows. At this point the size of the database (which is 4.3 MB for UTF-8 and 5.7 MB for UTF-16) becomes more significant than the cost of conversion.
So the answer to the question which encoding to use is, as usual, "it depends". In my case the database will be rather small and there will rarely be more than a few thousand rows per query, so I will use UTF-16 encoding to avoid the conversions. There are two ways to achieve that. We can execute the following statement directly after opening the database, before any tables are created:
database.exec( "PRAGMA encoding = \"UTF-16\"" );
Another way is to modify the SQLite driver (since we're already using a copy of it) and use
sqlite3_open16 instead of
sqlite3_open_v2 to open the database - it enables UTF-16 encoding automatically. In that case we won't be able to open the database in read only mode, but if we're not using the advanced connection options then it's not a problem.