Poco::Data

class Session

Library: Data
Package: DataCore
Header: Poco/Data/Session.h

Description

A Session holds a connection to a Database and creates Statement objects.

Sessions are always created via the SessionFactory:

Session ses(SessionFactory::instance().create(connectorKey, connectionString));

where the first param presents the type of session one wants to create (e.g., for SQLite one would choose "SQLite", for ODBC the key is "ODBC") and the second param is the connection string that the session implementation requires to connect to the database. The format of the connection string is specific to the actual connector.

A simpler form to create the session is to pass the connector key and connection string directly to the Session constructor.

A concrete example to open an SQLite database stored in the file "dummy.db" would be

Session ses("SQLite", "dummy.db");

Via a Session one can create two different types of statements. First, statements that should only be executed once and immediately, and second, statements that should be executed multiple times, using a separate execute() call. The simple one is immediate execution:

ses << "CREATE TABLE Dummy (data INTEGER(10))", now;

The now at the end of the statement is required, otherwise the statement would not be executed.

If one wants to reuse a Statement (and avoid the overhead of repeatedly parsing an SQL statement) one uses an explicit Statement object and its execute() method:

int i = 0;
Statement stmt = (ses << "INSERT INTO Dummy VALUES(:data)", use(i));

for (i = 0; i < 100; ++i)
{
    stmt.execute();
}

The above example assigns the variable i to the ":data" placeholder in the SQL query. The query is parsed and compiled exactly once, but executed 100 times. At the end the values 0 to 99 will be present in the Table "DUMMY".

A faster implementaton of the above code will simply create a vector of int and use the vector as parameter to the use clause (you could also use set or multiset instead):

std::vector<int> data;
for (int i = 0; i < 100; ++i)
{
    data.push_back(i);
}
ses << "INSERT INTO Dummy VALUES(:data)", use(data);

NEVER try to bind to an empty collection. This will give a BindingException at run-time!

Retrieving data from a database works similar, you could use simple data types, vectors, sets or multiset as your targets:

std::set<int> retData;
ses << "SELECT * FROM Dummy", into(retData));

Due to the blocking nature of the above call it is possible to partition the data retrieval into chunks by setting a limit to the maximum number of rows retrieved from the database:

std::set<int> retData;
Statement stmt = (ses << "SELECT * FROM Dummy", into(retData), limit(50));
while (!stmt.done())
{
    stmt.execute();
}

The "into" keyword is used to inform the statement where output results should be placed. The limit value ensures that during each run at most 50 rows are retrieved. Assuming Dummy contains 100 rows, retData will contain 50 elements after the first run and 100 after the second run, i.e. the collection is not cleared between consecutive runs. After the second execute stmt.done() will return true.

A prepared Statement will behave exactly the same but a further call to execute() will simply reset the Statement, execute it again and append more data to the result set.

Note that it is possible to append several "bind" or "into" clauses to the statement. Theoretically, one could also have several limit clauses but only the last one that was added will be effective. Also several preconditions must be met concerning binds and intos. Take the following example:

ses << "CREATE TABLE Person (LastName VARCHAR(30), FirstName VARCHAR, Age INTEGER(3))";
std::vector<std::string> nameVec; // [...] add some elements
std::vector<int> ageVec; // [...] add some elements
ses << "INSERT INTO Person (LastName, Age) VALUES(:ln, :age)", use(nameVec), use(ageVec);

The size of all use parameters MUST be the same, otherwise an exception is thrown. Furthermore, the amount of use clauses must match the number of wildcards in the query (to be more precisely: each binding has a numberOfColumnsHandled() value which is per default 1. The sum of all these values must match the wildcard count in the query. But this is only important if you have written your own TypeHandler specializations). If you plan to map complex object types to tables see the TypeHandler documentation. For now, we simply assume we have written one TypeHandler for Person objects. Instead of having n different vectors, we have one collection:

std::vector<Person> people; // [...] add some elements
ses << "INSERT INTO Person (LastName, FirstName, Age) VALUES(:ln, :fn, :age)", use(people);

which will insert all Person objects from the people vector to the database (and again, you can use set, multiset too, even map and multimap if Person provides an operator() which returns the key for the map). The same works for a SELECT statement with "into" clauses:

std::vector<Person> people;
ses << "SELECT * FROM PERSON", into(people);

Member Summary

Member Functions: begin, close, commit, createStatementImpl, getFeature, getProperty, impl, isConnected, isTransaction, operator <<, operator =, rollback, setFeature, setProperty, swap

Constructors

Session

Session(
    Poco::AutoPtr < SessionImpl > ptrImpl
);

Creates the Session.

Session

Session(
    const Session & param35
);

Creates a session by copying another one.

Session

Session(
    const std::string & connector,
    const std::string & connectionString
);

Creates a new session, using the given connector (which must have been registered), and connectionString.

Destructor

~Session

~Session();

Destroys the Session.

Member Functions

begin inline

void begin();

Starts a transaction.

close inline

void close();

Closes the session.

commit inline

void commit();

Commits and ends a transaction.

createStatementImpl inline

StatementImpl * createStatementImpl();

Creates a StatementImpl.

getFeature inline

bool getFeature(
    const std::string & name
) const;

Look up the state of a feature.

Features are a generic extension mechanism for session implementations. and are defined by the underlying SessionImpl instance.

Throws a NotSupportedException if the requested feature is not supported by the underlying implementation.

getProperty inline

Poco::Any getProperty(
    const std::string & name
) const;

Look up the value of a property.

Properties are a generic extension mechanism for session implementations. and are defined by the underlying SessionImpl instance.

Throws a NotSupportedException if the requested property is not supported by the underlying implementation.

impl inline

SessionImpl * impl();

Returns a pointer to the underlying SessionImpl.

isConnected inline

bool isConnected();

Returns true if and only if session is connected, false otherwise.

isTransaction inline

bool isTransaction();

Returns true if and only if a transaction is in progress, false otherwise.

operator << inline

template < typename T > Statement operator << (
    const T & t
);

Creates a Statement with the given data as SQLContent

operator =

Session & operator = (
    const Session & param36
);

Assignement operator.

rollback inline

void rollback();

Rolls back and ends a transaction.

setFeature inline

void setFeature(
    const std::string & name,
    bool state
);

Set the state of a feature.

Features are a generic extension mechanism for session implementations. and are defined by the underlying SessionImpl instance.

Throws a NotSupportedException if the requested feature is not supported by the underlying implementation.

setProperty inline

void setProperty(
    const std::string & name,
    const Poco::Any & value
);

Set the value of a property.

Properties are a generic extension mechanism for session implementations. and are defined by the underlying SessionImpl instance.

Throws a NotSupportedException if the requested property is not supported by the underlying implementation.

swap

void swap(
    Session & other
);

Swaps the session with another one.