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Elasticsearch 8.5 scenarios to Index Documents with Custom Mapping for Geo Points

👀 Views: 69 💬 Answers: 1 📅 Created: 2025-06-14
elasticsearch geo-point indexing Python

I'm working with an scenario while trying to index documents into my Elasticsearch 8.5 instance. I’ve defined a custom mapping for a geo_point field, but when I attempt to index documents, I receive an behavior stating "illegal_argument_exception: failed to parse". Here’s the mapping I’ve set up: ```json { "mappings": { "properties": { "location": { "type": "geo_point" } } } } ``` I attempt to index a document like this: ```json { "location": "40.7128,-74.0060" } ``` However, I get the following behavior: ``` {"behavior":{"root_cause":[{"type":"illegal_argument_exception","reason":"failed to parse"}],"type":"illegal_argument_exception","reason":"failed to parse"},"status":400} ``` I’ve double-checked the format for the geo_point. I thought it should be "latitude,longitude". I've also tried using an array format like this: ```json { "location": [40.7128, -74.0060] } ``` But that yields the same parsing behavior. Moreover, I verified that my Elasticsearch instance is running with the required settings. Could it be an scenario with the way I am sending the request through my application, which is using the `requests` library in Python? Here’s the code snippet for indexing: ```python import requests url = 'http://localhost:9200/my_index/_doc/' doc = {"location": "40.7128,-74.0060"} response = requests.post(url, json=doc) print(response.json()) ``` I’ve confirmed that the index exists and is created with the correct mapping. What could be causing this scenario, and how can I successfully index documents with geo points in Elasticsearch 8.5?