import * as pulumi from "@pulumi/pulumi"; export declare class WarehouseTimeSeries extends pulumi.CustomResource { /** * Get an existing WarehouseTimeSeries resource's state with the given name, ID, and optional extra * properties used to qualify the lookup. * * @param name The _unique_ name of the resulting resource. * @param id The _unique_ provider ID of the resource to lookup. * @param state Any extra arguments used during the lookup. * @param opts Optional settings to control the behavior of the CustomResource. */ static get(name: string, id: pulumi.Input, state?: WarehouseTimeSeriesState, opts?: pulumi.CustomResourceOptions): WarehouseTimeSeries; /** * Returns true if the given object is an instance of WarehouseTimeSeries. This is designed to work even * when multiple copies of the Pulumi SDK have been loaded into the same process. */ static isInstance(obj: any): obj is WarehouseTimeSeries; /** * An array of aggregation functions (e.g., `avg`, `min`, `max`). If omitted, no aggregations are applied. */ readonly aggregations: pulumi.Output; /** * The type of vector index to apply (e.g., `vector_similarity`). Only applicable for vector types (`array_bfloat16`, `array_float32`). */ readonly expressionIndex: pulumi.Output; /** * The name of the time series. Must contain only letters, numbers, and underscores. */ readonly name: pulumi.Output; /** * The ID of the Warehouse source to create the time series for. */ readonly sourceId: pulumi.Output; /** * The SQL expression used to compute the time series. For example `JSONExtract(raw, 'response_time', 'Nullable(Float64)')`. */ readonly sqlExpression: pulumi.Output; /** * The data type of the time series. Valid types are: `string`, `string_low_cardinality`, `int64_delta`, `int64`, `uint64_delta`, `uint64`, `float64_delta`, `datetime64_delta`, `boolean`, `array_bfloat16`, `array_float32` */ readonly type: pulumi.Output; /** * The vector dimension if `expression_index` is `vector_similarity` (e.g., `512`). Supported values: 256, 384, 512, 768, 1024, 1536, 3072, 4096, 10752. */ readonly vectorDimension: pulumi.Output; /** * The distance function to use for vector similarity (e.g., `cosine`, `l2`). */ readonly vectorDistanceFunction: pulumi.Output; /** * Create a WarehouseTimeSeries resource with the given unique name, arguments, and options. * * @param name The _unique_ name of the resource. * @param args The arguments to use to populate this resource's properties. * @param opts A bag of options that control this resource's behavior. */ constructor(name: string, args: WarehouseTimeSeriesArgs, opts?: pulumi.CustomResourceOptions); } /** * Input properties used for looking up and filtering WarehouseTimeSeries resources. */ export interface WarehouseTimeSeriesState { /** * An array of aggregation functions (e.g., `avg`, `min`, `max`). If omitted, no aggregations are applied. */ aggregations?: pulumi.Input[]>; /** * The type of vector index to apply (e.g., `vector_similarity`). Only applicable for vector types (`array_bfloat16`, `array_float32`). */ expressionIndex?: pulumi.Input; /** * The name of the time series. Must contain only letters, numbers, and underscores. */ name?: pulumi.Input; /** * The ID of the Warehouse source to create the time series for. */ sourceId?: pulumi.Input; /** * The SQL expression used to compute the time series. For example `JSONExtract(raw, 'response_time', 'Nullable(Float64)')`. */ sqlExpression?: pulumi.Input; /** * The data type of the time series. Valid types are: `string`, `string_low_cardinality`, `int64_delta`, `int64`, `uint64_delta`, `uint64`, `float64_delta`, `datetime64_delta`, `boolean`, `array_bfloat16`, `array_float32` */ type?: pulumi.Input; /** * The vector dimension if `expression_index` is `vector_similarity` (e.g., `512`). Supported values: 256, 384, 512, 768, 1024, 1536, 3072, 4096, 10752. */ vectorDimension?: pulumi.Input; /** * The distance function to use for vector similarity (e.g., `cosine`, `l2`). */ vectorDistanceFunction?: pulumi.Input; } /** * The set of arguments for constructing a WarehouseTimeSeries resource. */ export interface WarehouseTimeSeriesArgs { /** * An array of aggregation functions (e.g., `avg`, `min`, `max`). If omitted, no aggregations are applied. */ aggregations?: pulumi.Input[]>; /** * The type of vector index to apply (e.g., `vector_similarity`). Only applicable for vector types (`array_bfloat16`, `array_float32`). */ expressionIndex?: pulumi.Input; /** * The name of the time series. Must contain only letters, numbers, and underscores. */ name?: pulumi.Input; /** * The ID of the Warehouse source to create the time series for. */ sourceId: pulumi.Input; /** * The SQL expression used to compute the time series. For example `JSONExtract(raw, 'response_time', 'Nullable(Float64)')`. */ sqlExpression: pulumi.Input; /** * The data type of the time series. Valid types are: `string`, `string_low_cardinality`, `int64_delta`, `int64`, `uint64_delta`, `uint64`, `float64_delta`, `datetime64_delta`, `boolean`, `array_bfloat16`, `array_float32` */ type: pulumi.Input; /** * The vector dimension if `expression_index` is `vector_similarity` (e.g., `512`). Supported values: 256, 384, 512, 768, 1024, 1536, 3072, 4096, 10752. */ vectorDimension?: pulumi.Input; /** * The distance function to use for vector similarity (e.g., `cosine`, `l2`). */ vectorDistanceFunction?: pulumi.Input; }