IDataSource Interface
GetTable 
CreateTable 
DropTable
 
Starting from version 2.1 any DG Kernel model keeps a mini  data
base, which currently consist of a
single table. IDataSource is the top-level interface in the user data hierarchy. 
It represents the data base. IDataSource can be queried from
IModel. 
See also User Data Sample, 
User Data,
IDataTable,
IData, IRecordSet  
 
HRESULT 
GetTable(char* name, IDataTable** table, VARIANT_BOOL* result )
  
Parameters 
name
- [in] Name of the table to be accessed. Ignored in
this release. Can be set to empty string or NULL.   
table - [out] returned  IDataTable interface
implemented the table.  
 result - [out, retval] The returned status value. 0 - if the
table does not exist. 1 - success.   
Return Values: 
  - S_OK in case of 
  success.
  
  
DISP_E_PARAMNOTOPTIONAL - if any of the parameters are a NULL
reference. 
  
Remarks:
 
 If the table exists the method returns its  IDataTable
interface in
table parameter and the returned result  is
set to 1 (true). name parameter has no effect in this
release and normally is set to an empty string. 
  
 
HRESULT 
CreateTable(char* name)
  
Parameters 
name
- [in] Name of the table to be created. Ignored in
this release. Can be set to empty string or NULL.   
Return Values 
TYPE_E_NAMECONFLICT  if the table already exists. 
  - S_OK in case of 
  success.
  
  
Remarks:
 
Starting from version 2.1 any DG Kernel model keeps a mini data base, which currently consist of a
single table. It is an error to call this method when the table already exists.
Use  result return code from the GetTable method above to check
for that. name parameter has no effect in this release
and normally is set to an empty string. 
 
HRESULT DropTable(char* name)
  
Parameters 
name
- [in] Name of the table to be created. Ignored in
this release. Can be set to empty string or NULL.  
Return Values 
TYPE_E_ELEMENTNOTFOUND  if the table does not exist . 
  - S_OK in case of 
  success.
  
  
Remarks:
 
Deletes the table. Any data will be destroyed as the result. This method helps
to reduce the model size when the data no longer needed.  
 
  
  
  
  
  
  
 
 
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