Automatically caching data is useful when you do not want to rebuild the cache for each query. When you query data for the first time, the driver automatically initializes and builds a cache in the background. When AutoCache = true, the driver uses the cache for subsequent query executions, resulting in faster response times.

Configuring Automatic Caching

Caching the projects Table

The following example caches the projects table in the file specified by the CacheLocation property of the connection string.

SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'

SQLHSTMT hstmt;
SQLTCHAR connectString[1024];
SQLSMALLINT cbconnectString;
SQLDriverConnect(hdbc, 0, (SQLTCHAR*)"DSN=CData Asana Source;AutoCache=true;Cache Location=C:\\cache.db", SQL_NTS, connectString, 1024, &cbconnectString, SQL_DRIVER_COMPLETE);
SQLAllocHandle(SQL_HANDLE_STMT, hdbc, &hstmt);
SQLExecDirect(hstmt, (SQLCHAR*)"SELECT Id, WorkspaceId FROM projects WHERE Archived = 'true'", SQL_NTS);
while(SQLFetch(hstmt) == SQL_SUCCESS) {}
SQLFreeHandle(SQL_HANDLE_STMT, hstmt);

Common Use Case

A common use for automatically caching data is to improve driver performance when making repeated requests to a live data source, such as building a report or creating a visualization. With auto caching enabled, repeated requests to the same data may be executed in a short period of time, but within an allowable tolerance (CacheTolerance) of what is considered "live" data.