/**
 * dataset() — creates a typed semantic model over a physical table.
 *
 * Relationships are modeled on the dataset. To-one relationships (`belongsTo`,
 * `hasOne`) are queryable one hop deep as `<relationship>.<dimension>` and
 * execute as LEFT JOINs; `hasMany` relationships remain metadata-only to avoid
 * fan-out corrupting aggregates.
 *
 * @example
 * ```ts
 * import { dataset, dimension, measure, belongsTo } from '@hypequery/serve';
 *
 * const Orders = dataset("orders", {
 *   source: "orders",
 *   tenantKey: "tenant_id",
 *   timeKey: "created_at",
 *   dimensions: {
 *     id: dimension.string(),
 *     status: dimension.string({ label: "Order Status" }),
 *     createdAt: dimension.timestamp({ column: "created_at" }),
 *   },
 *   measures: {
 *     totalRevenue: measure.sum("amount", { label: "Total Revenue" }),
 *     orderCount: measure.count("id"),
 *   },
 *   relationships: {
 *     customer: belongsTo(() => Customers, { from: "customerId", to: "id" }),
 *   },
 * });
 * ```
 */
import type { DatasetConfig, DatasetInstance, DimensionDefinition, MeasureDefinition, RelationshipDefinition } from './types.js';
export declare function dataset<TDatasetName extends string, TDimensions extends Record<string, DimensionDefinition>, TMeasures extends Record<string, MeasureDefinition> = Record<string, never>, TRelationships extends Record<string, RelationshipDefinition> = Record<string, never>>(name: TDatasetName, config: DatasetConfig<TDimensions, TMeasures, TRelationships>): DatasetInstance<TDimensions, TMeasures, TRelationships, TDatasetName>;
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