Caching MetadataCData Python Connector for Office 365 2019 - Build 19.0.7416
This section describes how to enable caching metadata and how to update the metadata cache.
Before being able to query data, the connector requires relevant metadata to be retrieved. By default, metadata is cached in memory and shared across connections. But if you want to persist across processes, or if metadata requests are expensive, the solution is to cache the metadata to disk.
Enable Caching Metadata
To enable caching of metadata, set CacheMetadata = true and see Configuring the Cache Connection for instructions on how to configure your connection string. The provider caches the metadata the first time it is needed and uses the metadata cache for subsequent requests.
Update the Metadata Cache
Because metadata is cached, changes to metadata on the live source, for example, adding or removing a column or attribute, are not automatically reflected in the metadata cache. To get updates to the live metadata, you need to delete or drop the cached data.