When no data structure is specified when loading the data, OpenSearch uses dynamic mapping to automatically detect the fields. To check the mapping definition of your data, OpenSearch client provides a function called get_mapping as shown:
import pprint
INDEX_NAME = 'epicurious-recipes'
mapping_data = os_client.indices.get_mapping(INDEX_NAME)
# Find index doc_type
doc_type = list(mapping_data[INDEX_NAME]["mappings"].keys())[0]
schema = mapping_data[INDEX_NAME]["mappings"][doc_type]
fields = list(schema.keys())
pprint(fields)
pprint(schema)
You should be able to see the fields's output:
['calories',
'categories',
'date',
'desc',
'directions',
'fat',
'ingredients',
'protein',
'rating',
'sodium',
'title']
And the mapping with the fields and their respective types.
{'calories': {'type': 'float'},
'categories': {'fields': {'keyword': {'ignore_above': 256, 'type': 'keyword'}},
'type': 'text'},
'date': {'type': 'date'},
'desc': {'fields': {'keyword': {'ignore_above': 256, 'type': 'keyword'}},
'type': 'text'},
'directions': {'fields': {'keyword': {'ignore_above': 256, 'type': 'keyword'}},
'type': 'text'},
'fat': {'type': 'float'},
'ingredients': {'fields': {'keyword': {'ignore_above': 256,
'type': 'keyword'}},
'type': 'text'},
'protein': {'type': 'float'},
'rating': {'type': 'float'},
'sodium': {'type': 'float'},
'title': {'fields': {'keyword': {'ignore_above': 256, 'type': 'keyword'}},
'type': 'text'}}
Read more about OpenSearch mapping in the official OpenSearch documentation.
Top comments (0)