import * as entityresolution from "@distilled.cloud/aws/entityresolution"; import * as Provider from "../../Provider.ts"; import { Resource } from "../../Resource.ts"; import type { Providers } from "../Providers.ts"; export interface MatchingWorkflowProps { /** * Name of the matching workflow. Must be unique per account/region and * match `[a-zA-Z_0-9-]*`. If omitted, a unique name is generated from the * app, stage, and logical ID. Changing the name replaces the workflow. */ workflowName?: string; /** * A description of the workflow. */ description?: string; /** * The input records to match: each entry names a Glue table * (`inputSourceARN`) and the schema mapping (`schemaName`) that describes * its columns. */ inputSourceConfig: entityresolution.InputSource[]; /** * Where matched output records are written: an S3 path (`outputS3Path`), * the columns to include (`output`), and an optional KMS key (`KMSArn`). */ outputSourceConfig: entityresolution.OutputSource[]; /** * How records are matched: `RULE_MATCHING` with `ruleBasedProperties`, * `ML_MATCHING`, or a `PROVIDER` service. */ resolutionTechniques: entityresolution.ResolutionTechniques; /** * Incremental-run configuration. Only supported for `RULE_MATCHING` * workflows. */ incrementalRunConfig?: entityresolution.IncrementalRunConfig; /** * The ARN of the IAM role Entity Resolution assumes to read the input Glue * tables and write the S3 output on your behalf. */ roleArn: string; /** * Tags to apply to the workflow. Merged with internal Alchemy tags. */ tags?: Record; } export interface MatchingWorkflow extends Resource<"AWS.EntityResolution.MatchingWorkflow", MatchingWorkflowProps, { /** * The name of the matching workflow. */ workflowName: string; /** * The ARN of the matching workflow. */ workflowArn: string; }, never, Providers> { } /** * An AWS Entity Resolution matching workflow — a data-processing job * definition that matches and deduplicates records across Glue table input * sources using rule-based or ML-powered matching, writing matched record * groups to S3. * * The workflow definition itself is cheap and instant; a matching RUN * (`StartMatchingJob`) processes the full input and takes many minutes. * * ### Creating Workflows * **Example:** Rule-based matching over a Glue table * ```typescript * import * as AWS from "alchemy/AWS"; * * const workflow = yield* AWS.EntityResolution.MatchingWorkflow("Dedupe", { * inputSourceConfig: [ * { inputSourceARN: table.tableArn, schemaName: schema.schemaName }, * ], * outputSourceConfig: [ * { * outputS3Path: `s3://${bucket.bucketName}/matches/`, * output: [{ name: "id" }, { name: "email" }], * }, * ], * resolutionTechniques: { * resolutionType: "RULE_MATCHING", * ruleBasedProperties: { * rules: [{ ruleName: "ByEmail", matchingKeys: ["email"] }], * attributeMatchingModel: "ONE_TO_ONE", * }, * }, * roleArn: role.roleArn, * }); * ``` * * **Example:** ML-powered matching * ```typescript * const workflow = yield* AWS.EntityResolution.MatchingWorkflow("MlDedupe", { * inputSourceConfig: [ * { inputSourceARN: table.tableArn, schemaName: schema.schemaName }, * ], * outputSourceConfig: [ * { * outputS3Path: `s3://${bucket.bucketName}/ml-matches/`, * output: [{ name: "id" }], * }, * ], * resolutionTechniques: { resolutionType: "ML_MATCHING" }, * roleArn: role.roleArn, * }); * ``` * * @resource */ export declare const MatchingWorkflow: import("../../Resource.ts").ResourceClass; export declare const MatchingWorkflowProvider: () => import("effect/Layer").Layer, never, import("@distilled.cloud/aws/Credentials").Credentials | import("effect/unstable/http/HttpClient").HttpClient | import("../../Stack.ts").Stack | import("../../Stage.ts").Stage>; //# sourceMappingURL=MatchingWorkflow.d.ts.map