_geoPoint With Sort Is Not Working

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Bug Description

When attempting to sort by geopoint, an error occurs. This issue is crucial to resolve as it affects the functionality of the search feature, particularly when users rely on geolocation-based sorting.

Error Message

The error message received is:

task 2097 panicked with message "A geo faceted document doesn't contain any lat or lng"

Steps to Reproduce the Bug

To reproduce the behavior, follow these steps:

  1. Setup a Index with Sort-able with _geo: Create an index with a sort-able field using the _geo attribute. This attribute is used to store geolocation data.

  2. Search with Sort Filter on: Apply a sort filter on the _geoPoint field. The filter should be in the format _geoPoint($lat,$lng):asc or _geoPoint($lat,$lng):desc, depending on the desired sorting order.

Expected Behavior

The expected behavior is that the search results should be sorted based on the geolocation data stored in the _geo attribute. This should be done without any errors, allowing users to efficiently find relevant results based on their location.

Screenshots

Image

Meilisearch Version

The Meilisearch version used is v2.33.1.

Document

The document used for testing is a JSON object containing the following fields:

[
  {
    "id": "01JNTD0331TCA8HZTH0Z4J67FN",
    "name": "TEST",
    "description": "",
    "isActive": true,
    "rank": 0,
    "_geo": {
      "lat": 24.459525,
      "lng": 54.37524
    },
    "lat": "24.459525",
    "lng": "54.375240",
    "city": "TEST",
    "phone": "",
    "company": "",
    "province": "",
    "address_1": "Test",
    "address_2": "",
    "postal_code": "",
    "country_code": "in"
  },
  {
    "id": "01JNV356MZH5PDT95YTX74CX4V",
    "name": "TEST",
    "description": "",
    "isActive": true,
    "rank": 1,
    "_geo": {
      "lat": 25.171623,
      "lng": 55.312476
    },
    "lat": "25.171623",
    "lng": "55.312476",
    "city": "",
    "phone": "",
    "company": "",
    "province": "",
    "address_1": "",
    "address_2": "",
    "postal_code": "",
    "country_code": "in"
  }
]

Analysis

The error message suggests that the issue lies in the way Meilisearch handles geolocation data. Specifically, it seems that the _geo attribute is not being properly parsed, leading to the absence of lat and lng values in the faceted document.

Possible Solutions

To resolve this issue, the following solutions can be explored:

  1. Verify Index Configuration: Ensure that the index is properly configured to handle geolocation data. This includes verifying that the _geo attribute is correctly mapped to the lat and lng fields.
  2. Update Meilisearch Version: Upgrade to the latest version of Meilisearch to see if the issue has been addressed in a newer release.
  3. Customize Faceting Logic: Modify the faceting logic to explicitly handle geolocation data. This may involve creating a custom faceting function that correctly parses the _geo attribute.
  4. Use Alternative Sorting Methods: Consider using alternative sorting methods, such as sorting by a separate field that contains the geolocation data, rather than relying on the _geo attribute.

Conclusion

The issue of _geoPoint with sort not working is a critical problem that affects the functionality of the search feature. By understanding the error message and analyzing the possible causes, developers can explore various solutions to resolve this issue. By customizing the index configuration, updating Meilisearch version, modifying faceting logic, or using alternative sorting methods, developers can ensure that their search feature works efficiently and accurately.

Q: What is the cause of the error "A geo faceted document doesn't contain any lat or lng"?

A: The error "A geo faceted document doesn't contain any lat or lng" suggests that the issue lies in the way Meilisearch handles geolocation data. Specifically, it seems that the _geo attribute is not being properly parsed, leading to the absence of lat and lng values in the faceted document.

Q: How can I verify that the index is properly configured to handle geolocation data?

A: To verify that the index is properly configured to handle geolocation data, follow these steps:

  1. Check Index Mapping: Ensure that the _geo attribute is correctly mapped to the lat and lng fields in the index configuration.
  2. Verify Field Types: Verify that the lat and lng fields are of the correct type (e.g., float or integer).
  3. Check Index Settings: Check the index settings to ensure that geolocation data is enabled.

Q: Can I upgrade to a newer version of Meilisearch to resolve this issue?

A: Yes, upgrading to a newer version of Meilisearch may resolve the issue. However, it's essential to test the new version thoroughly to ensure that it doesn't introduce any new issues.

Q: How can I customize the faceting logic to handle geolocation data?

A: To customize the faceting logic to handle geolocation data, follow these steps:

  1. Create a Custom Faceting Function: Create a custom faceting function that correctly parses the _geo attribute and extracts the lat and lng values.
  2. Modify the Faceting Logic: Modify the faceting logic to use the custom faceting function instead of the default one.

Q: Can I use alternative sorting methods to resolve this issue?

A: Yes, you can use alternative sorting methods to resolve this issue. For example, you can create a separate field that contains the geolocation data and sort by that field instead of relying on the _geo attribute.

Q: How can I troubleshoot this issue further?

A: To troubleshoot this issue further, follow these steps:

  1. Check the Meilisearch Logs: Check the Meilisearch logs for any error messages that may indicate the cause of the issue.
  2. Use Debugging Tools: Use debugging tools to inspect the data and faceting logic.
  3. Test with Sample Data: Test with sample data to isolate the issue and identify the root cause.

Q: What are the best practices for handling geolocation data in Meilisearch?

A: The best practices for handling geolocation data in Meilisearch include:

  1. Use the Correct Field Types: Use the correct field types (e.g., float or integer) for the lat and lng fields.
  2. Enable Geolocation Data: Enable geolocation data in the index settings.
  3. Use Custom Faceting Functions: Use custom faceting functions to handle geolocation data correctly.

Q: Can I get support for resolving this issue?

A: Yes, you can get support for resolving this issue by:

  1. Checking the Meilisearch Documentation: Check the Meilisearch documentation for any relevant information.
  2. Reaching Out to the Meilisearch Community: Reach out to the Meilisearch community for help and support.
  3. Contacting Meilisearch Support: Contact Meilisearch support for professional assistance.