import type * as TSW from "@distilled.cloud/aws/timestream-write";
import type * as Effect from "effect/Effect";
import * as Binding from "../../Binding.ts";
import type { Table } from "./Table.ts";
export interface WriteRecordsRequest extends Omit<TSW.WriteRecordsRequest, "DatabaseName" | "TableName"> {
}
/**
 * Runtime binding for `timestream-write:WriteRecords` — ingest time-series
 * records into a Timestream {@link Table}.
 *
 * Bind the operation to a table inside a function runtime to get a callable
 * with `DatabaseName` and `TableName` injected automatically; you only supply
 * the `Records` (and optional `CommonAttributes`). For high-volume streaming
 * ingestion prefer the batching {@link RecordsSink}.
 *
 * Provide `Timestream.WriteRecordsHttp` on the Function to implement the
 * binding.
 *
 * ### Writing Records
 * **Example:** Write a measurement
 * ```typescript
 * // init — bind the operation to the table
 * const writeRecords = yield* Timestream.WriteRecords(table);
 *
 * // runtime — ingest a record
 * const result = yield* writeRecords({
 *   Records: [
 *     {
 *       Dimensions: [{ Name: "host", Value: "web-1" }],
 *       MeasureName: "cpu",
 *       MeasureValue: "42.5",
 *       MeasureValueType: "DOUBLE",
 *       Time: `${Date.now()}`,
 *       TimeUnit: "MILLISECONDS",
 *     },
 *   ],
 * });
 * // result.RecordsIngested reports how many records landed
 * ```
 *
 * @binding
 */
export interface WriteRecords extends Binding.Service<WriteRecords, "AWS.Timestream.WriteRecords", (table: Table) => Effect.Effect<(request: WriteRecordsRequest) => Effect.Effect<TSW.WriteRecordsResponse, TSW.WriteRecordsError | TSW.DescribeEndpointsError>>> {
}
export declare const WriteRecords: WriteRecords;
//# sourceMappingURL=WriteRecords.d.ts.map