关于图形相交查询及Elasticsearch查询报错的技术问询

Hey there! Let's break down your two geospatial questions and work through that query error you're facing with your 780-document GeoJSON index.

1. Matching All Graphics Related to a Single Shape #

When you say "related," this usually covers common spatial relationships like intersecting, containing, being contained within, or being adjacent. Assuming you're using a tool like Elasticsearch (since you mentioned index mappings and GeoJSON imports), you'll use the geo_shape query with the relation parameter to define the exact relationship you want.

For example:

• To find all shapes that intersect with a target shape:

  GET /your_index/_search
  {
    "query": {
      "geo_shape": {
        "your_geo_field": {
          "shape": {
            "type": "Polygon", // Match the type of your target shape
            "coordinates": [[/* Your target shape's coordinates here */]]
          },
          "relation": "intersects"
        }
      }
    }
  }
  

• To find all shapes that are contained within the target shape:
  Change the relation value to "within".
• To find all shapes that contain the target shape:
  Use "contains" as the relation value.

2. Querying Shapes That Intersect With ID 500 #

To do this, you first need to reference the shape from the document with ID 500 directly in your query. Here's how:

Option 1: Use indexed_shape to reference the existing document #

This is cleaner because it pulls the shape directly from your index instead of copying coordinates:

GET /your_index/_search
{
  "query": {
    "geo_shape": {
      "your_geo_field": {
        "indexed_shape": {
          "index": "your_index",
          "id": "500",
          "path": "your_geo_field" // The field name where the shape is stored in document 500
        },
        "relation": "intersects"
      }
    }
  }
}

Option 2: Fetch the shape first then query #

If indexed_shape isn't working for some reason, first grab the shape from document 500:

GET /your_index/_doc/500

Then copy the your_geo_field coordinates into the shape parameter of the geo_shape query (like the example in question 1).

Troubleshooting Query Errors #

Since you've already loaded your data, let's check the most common issues that cause geospatial query failures:

• Incorrect Index Mapping: Double-check that your geospatial field is mapped as geo_shape (not geo_point or another type). Verify with:

  GET /your_index/_mapping
  

  You should see a section like this for your field:

  "your_geo_field": {
    "type": "geo_shape"
  }
  

• Invalid GeoJSON: Ensure all imported documents have valid GeoJSON. Common issues include unclosed polygons (the first and last coordinate must match) or malformed coordinate arrays.
• Query Syntax Mistakes: Typos in parameter names (e.g., relaton instead of relation) or mismatched shape types (e.g., using a Point query against a Polygon field) will throw errors. Double-check your JSON structure and parameter spelling.
• Field Name Mismatch: Make sure the field name in your query matches exactly what's in your index mapping (case-sensitive!).

If you can share the exact error message you're getting, we can narrow this down even more, but these steps should cover most scenarios.

内容的提问来源于stack exchange，提问作者dbj44