The static binding for types is most useful when the types used in the database are known at compile time - this was already presented above with the help of into
and use
functions.
The following types are currently supported for use with into
and use
expressions:
char
(for character values)int8_t
,uint8_t
,int16_t
,uint16_t
,int32_t
,uint32_t
,int64_t
,uint64_t
,double
(for numeric values)std::string
(for string values)std::tm
(for datetime values)soci::statement
(for nested statements and PL/SQL cursors)soci::blob
(for Binary Large OBjects)soci::row_id
(for row identifiers)
See the test code that accompanies the library to see how each of these types is used.
Note that the fixed-size types int32_t
, int64_t
etc. are only typedefs for the fundamental types int
, long
etc.
This means that the two can be used interchangeably when interacting with SOCI and you can choose which one of them you want to use in your code.
Bulk inserts, updates, and selects are supported through the following std::vector
based into and use types:
std::vector<char>
std::vector<int8_t>
std::vector<uint8_t>
std::vector<int16_t>
std::vector<uint16_t>
std::vector<int32_t>
std::vector<uint32_t>
std::vector<int64_t>
std::vector<uint64_t>
std::vector<double>
std::vector<std::string>
std::vector<std::tm>
Use of the vector based types mirrors that of the standard types, with the size of the vector used to specify the number of records to process at a time. See below for examples.
Bulk operations are supported also for std::vector
s of the user-provided types that have appropriate conversion routines defines.
For certain applications it is desirable to be able to select data from arbitrarily structured tables (e.g. via "select * from ...
") and format the resulting data based upon its type.
SOCI supports binding dynamic resultset through the soci::row
and soci::column_properties
classes.
Data is selected into a row
object, which holds column_properties
objects describing the attributes of data contained in each column.
Once the data type for each column is known, the data can be formatted appropriately.
For example, the code below creates an XML document from a selected row of data from an arbitrary table:
row r;
sql << "select * from some_table", into(r);
std::ostringstream doc;
doc << "<row>" << std::endl;
for(std::size_t i = 0; i != r.size(); ++i)
{
const column_properties & props = r.get_properties(i);
doc << '<' << props.get_name() << '>';
switch(props.get_db_type())
{
case db_string:
doc << r.get<std::string>(i);
break;
case db_double:
doc << r.get<double>(i);
break;
case db_int8:
doc << r.get<int8_t>(i);
break;
case db_uint8:
doc << r.get<uint8_t>(i);
break;
case db_int16:
doc << r.get<int16_t>(i);
break;
case db_uint16:
doc << r.get<uint16_t>(i);
break;
case db_int32:
doc << r.get<int32_t>(i);
break;
case db_uint32:
doc << r.get<uint32_t>(i);
break;
case db_int64:
doc << r.get<int64_t>(i);
break;
case db_uint64:
doc << r.get<uint64_t>(i);
break;
case db_date:
std::tm when = r.get<std::tm>(i);
doc << asctime(&when);
break;
}
doc << "</" << props.get_name() << '>' << std::endl;
}
doc << "</row>";
The type T
parameter that should be passed to row::get<T>()
depends on the SOCI data type that is returned from data_type column_properties::get_data_type()
or db_type column_properties::get_db_type()
.
Users are encouraged to use the latter as it supports a wider range of numerical C++ types.
row::get<T>()
throws an exception of type std::bad_cast
if an incorrect type T
is requested.
SOCI Data Type (data_type ) |
row::get<T> specialization |
---|---|
dt_double |
double |
dt_integer |
int |
dt_long_long |
long long |
dt_unsigned_long_long |
unsigned long long |
dt_string |
std::string |
dt_date |
std::tm |
SOCI Data Type (db_type ) |
row::get<T> specialization |
---|---|
db_double |
double |
db_int8 |
int8_t |
db_uint8 |
uint8_t |
db_int16 |
int16_t |
db_uint16 |
uint16_t |
db_int32 |
int32_t |
db_uint32 |
uint32_t |
db_int64 |
int64_t |
db_uint64 |
uint64_t |
db_string |
std::string |
db_date |
std::tm |
The mapping of underlying database column types to SOCI datatypes is database specific. See the backend documentation for details.
The row
also provides access to indicators for each column:
row r;
sql << "select name from some_table where id = 1", into(r);
if (r.get_indicator(0) != soci::i_null)
{
std::cout << r.get<std::string>(0);
}
It is also possible to extract data from the row
object using its stream-like interface, where each extracted variable should have matching type respective to its position in the chain:
row r;
sql << "select name, address, age from persons where id = 123", into(r);
string name, address;
int age;
r >> name >> address >> age;
Note, however, that this interface is not compatible with the standard std::istream
class and that it is only possible to extract a single row at a time - for "safety" reasons the row boundary is preserved and it is necessary to perform the fetch
operation explicitly for each consecutive row.
SOCI can be easily extended with support for user-defined datatypes.
The extension mechanism relies on appropriate specialization of the type_conversion
structure that converts to and from one of the following SOCI base types:
double
int8_t
uint8_t
int16_t
uint16_t
int32_t
uint32_t
int64_t
uint64_t
std::string
char
std::tm
There are three required class members for a valid type_conversion
specialization:
- the
base_type
type definition, aliasing either one of the base types or another user-defined type - the
from_base()
static member function, converting from the base type - the
to_base()
static member function, converting to the base type
Note that no database-specific code is required to define user conversion.
The following example shows how the user can extend SOCI to support his own type MyInt
, which here is some wrapper for the fundamental int
type:
class MyInt
{
public:
MyInt() {}
MyInt(int i) : i_(i) {}
void set(int i) { i_ = i; }
int get() const { return i_; }
private:
int i_;
};
namespace soci
{
template <>
struct type_conversion<MyInt>
{
typedef int base_type;
static void from_base(int i, indicator ind, MyInt & mi)
{
if (ind == i_null)
{
throw soci_error("Null value not allowed for this type");
}
mi.set(i);
}
static void to_base(const MyInt & mi, int & i, indicator & ind)
{
i = mi.get();
ind = i_ok;
}
};
}
The above specialization for soci::type_conversion<MyInt>
is enough to enable the following:
MyInt i;
sql << "select count(*) from person", into(i);
cout << "We have " << i.get() << " persons in the database.\n";
Note that there is a number of types from the Boost library integrated with SOCI out of the box, see Integration with Boost for complete description. Use these as examples of conversions for more complext data types.
Another possibility to extend SOCI with custom data types is to use the into_type<T>
and use_type<T>
class templates, which specializations can be user-provided. These specializations need to implement the interface defined by, respectively, the into_type_base
and use_type_base
classes.
Note that when specializing these template classes the only convention is that when the indicator variable is used (see below), it should appear in the second position. Please refer to the library source code to see how this is done for the standard types.
SOCI provides a class called values
specifically to enable object-relational mapping via type_conversion
specializations.
For example, the following code maps a Person
object to and from a database table containing columns "ID"
, "FIRST_NAME"
, "LAST_NAME"
, and "GENDER"
.
Note that the mapping is non-invasive - the Person
object itself does not contain any SOCI-specific code:
struct Person
{
int id;
std::string firstName;
std::string lastName;
std::string gender;
};
namespace soci
{
template<>
struct type_conversion<Person>
{
typedef values base_type;
static void from_base(values const & v, indicator /* ind */, Person & p)
{
p.id = v.get<int>("ID");
p.firstName = v.get<std::string>("FIRST_NAME");
p.lastName = v.get<std::string>("LAST_NAME");
// p.gender will be set to the default value "unknown"
// when the column is null:
p.gender = v.get<std::string>("GENDER", "unknown");
// alternatively, the indicator can be tested directly:
// if (v.indicator("GENDER") == i_null)
// {
// p.gender = "unknown";
// }
// else
// {
// p.gender = v.get<std::string>("GENDER");
// }
}
static void to_base(const Person & p, values & v, indicator & ind)
{
v.set("ID", p.id);
v.set("FIRST_NAME", p.firstName);
v.set("LAST_NAME", p.lastName);
v.set("GENDER", p.gender, p.gender.empty() ? i_null : i_ok);
ind = i_ok;
}
};
}
With the above type_conversion
specialization in place, it is possible to use Person
directly with SOCI:
session sql(oracle, "service=db1 user=scott password=tiger");
Person p;
p.id = 1;
p.lastName = "Smith";
p.firstName = "Pat";
sql << "insert into person(id, first_name, last_name) "
"values(:ID, :FIRST_NAME, :LAST_NAME)", use(p);
Person p1;
sql << "select * from person", into(p1);
assert(p1.id == 1);
assert(p1.firstName + p.lastName == "PatSmith");
assert(p1.gender == "unknown");
p.firstName = "Patricia";
sql << "update person set first_name = :FIRST_NAME "
"where id = :ID", use(p);
Note: The values
class is currently not suited for use outside of type_conversion
specializations.
It is specially designed to facilitate object-relational mapping when used as shown above.