CData Python Connector for Office 365 2019 - Online Help
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Automatically Caching Data

CData Python Connector for Office 365 2019 - Build 19.0.7416

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 Events Table

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

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.

 
 
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