Get OpenSearch mapping with Python

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.