Automatically Caching Data
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 Accounts Table
The following example caches the Accounts table in the file specified by the CacheLocation property of the connection string.
C#
String connectionString = "Cache Location=C:\\cache.db;AutoCache=true;InitiateOAuth=GETANDREFRESH;OrganizationUrl=https://api.businesscentral.dynamics.com/v1.0/api/v1.0"; using (D365BusinessCentralConnection connection = new D365BusinessCentralConnection(connectionString)) { D365BusinessCentralCommand cmd = new D365BusinessCentralCommand("SELECT accountid, Name FROM Accounts WHERE Name <> 'MyAccount'", connection); D365BusinessCentralDataReader rdr = cmd.ExecuteReader(); while (rdr.Read()) { Console.WriteLine("Read and cached the row with AccountId " + rdr["AccountId"]); } }
VB.NET
Dim connectionString As [String] = "Cache Location=C:\\cache.db;AutoCache=true;InitiateOAuth=GETANDREFRESH;OrganizationUrl=https://api.businesscentral.dynamics.com/v1.0/api/v1.0" Using connection As New D365BusinessCentralConnection(connectionString) Dim cmd As New D365BusinessCentralCommand("SELECT accountid, Name FROM Accounts WHERE Name <> 'MyAccount'", connection) Dim rdr As D365BusinessCentralDataReader = cmd.ExecuteReader() While rdr.Read() Console.WriteLine("Read and cached the row with AccountId " + rdr("AccountId")) 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.