import { xLuceneTypeConfig, ClientMetadata } from '@terascope/types';
import BaseType from '../base-type.js';
import { GraphQLType, TypeESMapping, DuckDBTypeConfig } from '../../interfaces.js';
/**
 * A GeoJSON geometry (point, polygon, or multi-polygon) stored as an
 * Elasticsearch/OpenSearch `geo_shape`, enabling shape-relation queries
 * (intersects, within, contains, disjoint).
 *
 * - **ES/OpenSearch mapping:** `{ type: 'geo_shape' }`. Unlike most types this
 *   cannot be excluded from indexing — `GeoJSON` is in `indexedRequiredFieldTypes`,
 *   so `indexed: false` will throw.
 * - **GraphQL:** a `GeoJSON` custom scalar (the `scalar GeoJSON` definition is
 *   emitted alongside the field).
 * - **xLucene:** `GeoJSON`.
 *
 * @example
 * const config: DataTypeConfig = {
 *     version: 1,
 *     fields: { region: { type: 'GeoJSON' } }
 * };
 */
export default class GeoJSON extends BaseType {
    toESMapping(_clientMetaData: ClientMetadata): TypeESMapping;
    toGraphQL(): GraphQLType;
    toXlucene(): xLuceneTypeConfig;
    /**
     * The DuckDB column type for this field: GEOMETRY.
     *
     * Storing the shape as GEOMETRY rather than JSON text means it is parsed once at ingest
     * instead of on every spatial query, and it is written to Parquet as GeoParquet (WKB).
     * GEOMETRY is a core DuckDB type, so storing it needs no extension; the spatial
     * functions that query it need the `spatial` extension.
     */
    toDuckDB(): DuckDBTypeConfig;
}
//# sourceMappingURL=geo-json.d.ts.map