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Caching

Basics

This package automatically caches the results of all queries made to external resources. This includes the results of:

  • SPARQL queries (via the endpoint_wrapper() <kgextension.sparql_helper.endpoint_wrapper()> method).
  • URI querying (via the uri_querier() <kgextension.uri_helper.uri_querier()> method).
  • DBpedia Lookup Linker requests (via the dll_query_resolver() <kgextension.linking_helper.dll_query_resolver()> method).
  • DBpedia Spotlight requests (via the spotlight_uri_extractor() <kgextension.linking_helper.spotlight_uri_extractor()> method).
  • Checks for URL availability (via the url_exists() < kgextension.utilities_helper.url_exists()> method).´

Note

As of now the size of the cache is and can not be limited. If you run into issues with regards of memory usage, try to clear the cache <clearing_cache>.

Usage

Disabling Caching

Caching can be manually disabling on a "per call" level by setting the caching parameter of a cached method to False, as shown in the example below.

df_linked = label_linker(df, column='author', caching=False)

At the moment it is not possible to easily disable caching for all methods at once.

Checking the Cache Status

To check the status of the cache, call the show_cache_info() <kgextension.caching_helper.show_cache_info()> method, as shown in the example below.

from kgextension.caching_helper import show_cache_info

show_cache_info()

Clearing the Cache

To clear the cache, call the clear_cache() <kgextension.caching_helper.clear_cache()> method, as shown in the example below.

from kgextension.caching_helper import clear_cache

clear_cache()