File: db773f690edf659ac9b044dc854c77eb.asciidoc

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python-elasticsearch 9.1.0-1
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// This file is autogenerated, DO NOT EDIT
// search/search-vector-tile-api.asciidoc:671

[source, python]
----
resp = client.indices.create(
    index="museums",
    mappings={
        "properties": {
            "location": {
                "type": "geo_point"
            },
            "name": {
                "type": "keyword"
            },
            "price": {
                "type": "long"
            },
            "included": {
                "type": "boolean"
            }
        }
    },
)
print(resp)

resp1 = client.bulk(
    index="museums",
    refresh=True,
    operations=[
        {
            "index": {
                "_id": "1"
            }
        },
        {
            "location": "POINT (4.912350 52.374081)",
            "name": "NEMO Science Museum",
            "price": 1750,
            "included": True
        },
        {
            "index": {
                "_id": "2"
            }
        },
        {
            "location": "POINT (4.901618 52.369219)",
            "name": "Museum Het Rembrandthuis",
            "price": 1500,
            "included": False
        },
        {
            "index": {
                "_id": "3"
            }
        },
        {
            "location": "POINT (4.914722 52.371667)",
            "name": "Nederlands Scheepvaartmuseum",
            "price": 1650,
            "included": True
        },
        {
            "index": {
                "_id": "4"
            }
        },
        {
            "location": "POINT (4.914722 52.371667)",
            "name": "Amsterdam Centre for Architecture",
            "price": 0,
            "included": True
        }
    ],
)
print(resp1)
----