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Designing ODBC Applications for Performance Optimization
  
Designing ODBC Applications for Performance Optimization
Developing performance-oriented ODBC applications is not easy. Microsoft’s ODBC Programmer’s Reference does not provide information about system performance. In addition, ODBC drivers and the ODBC driver manager do not return warnings when applications run inefficiently. This chapter contains some general guidelines that have been compiled by examining the ODBC implementations of numerous shipping ODBC applications. These guidelines include:
*Use catalog functions appropriately
*Retrieve only required data
*Select functions that optimize performance
*Manage connections and updates
Following these general rules will help you solve some common ODBC performance problems, such as those listed in the following table.
Table 11. Common Performance Problems Using ODBC Applications
Problem
Solution
See guidelines in...
Network communication is slow.
Reduce network traffic.
The process of evaluating complex SQL queries on the database server is slow and can reduce concurrency.
Simplify queries.
Excessive calls from the application to the driver slow performance.
Optimize application-to-driver interaction.
Disk I/O is slow.
Limit disk input/output.
* Using Catalog Functions
* Retrieving Data
* Selecting ODBC Functions
* Managing Connections and Updates