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 provider automatically initializes and builds a cache in the background. When AutoCache = true, the provider uses the cache for subsequent query executions, resulting in faster response times.

Configuring Automatic Caching

Caching the Account Table

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

C#

String connectionString = "Cache Location=C:\\cache.db;AutoCache=true;Url=https://myorg.sharepoint.com;[email protected];Password=password;File=Book1.xlsx;";
using (Microsoft SharePoint ExcelConnection connection = new Microsoft SharePoint ExcelConnection(connectionString)) {
  Microsoft SharePoint ExcelCommand cmd = new Microsoft SharePoint ExcelCommand("SELECT Id, Name FROM Account WHERE Industry = 'Floppy Disks'", connection);
  Microsoft SharePoint ExcelDataReader rdr = cmd.ExecuteReader();
  while (rdr.Read()) {
    Console.WriteLine("Read and cached the row with Id " + rdr["Id"]);
  }
}

VB.NET

Dim connectionString As [String] = "Cache Location=C:\\cache.db;AutoCache=true;Url=https://myorg.sharepoint.com;[email protected];Password=password;File=Book1.xlsx;"
Using connection As New Microsoft SharePoint ExcelConnection(connectionString)
  Dim cmd As New Microsoft SharePoint ExcelCommand("SELECT Id, Name FROM Account WHERE Industry = 'Floppy Disks'", connection)
  Dim rdr As Microsoft SharePoint ExcelDataReader = cmd.ExecuteReader()
  While rdr.Read()
	  Console.WriteLine("Read and cached the row with Id " + rdr("Id"))
  End While
End Using

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.