Amazon Glue DataBrew · JSON Structure

Glue Databrew Input Structure

Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.

Type: object Properties: 4
Data AnalyticsData PreparationETLMachine Learning

Input is a JSON Structure definition published by Amazon Glue DataBrew, describing 4 properties. It conforms to the https://json-structure.org/meta/core/v0/# meta-schema.

Properties

S3InputDefinition DataCatalogInputDefinition DatabaseInputDefinition Metadata

Meta-schema: https://json-structure.org/meta/core/v0/#

JSON Structure

Raw ↑
{
  "$schema": "https://json-structure.org/meta/core/v0/#",
  "$id": "https://raw.githubusercontent.com/api-evangelist/amazon-glue-databrew/refs/heads/main/json-structure/glue-databrew-input-structure.json",
  "name": "Input",
  "description": "Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.",
  "type": "object",
  "properties": {
    "S3InputDefinition": {
      "allOf": [
        {
          "$ref": "#/components/schemas/S3Location"
        },
        {
          "description": "The Amazon S3 location where the data is stored."
        }
      ]
    },
    "DataCatalogInputDefinition": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DataCatalogInputDefinition"
        },
        {
          "description": "The Glue Data Catalog parameters for the data."
        }
      ]
    },
    "DatabaseInputDefinition": {
      "allOf": [
        {
          "$ref": "#/components/schemas/DatabaseInputDefinition"
        },
        {
          "description": "Connection information for dataset input files stored in a database."
        }
      ]
    },
    "Metadata": {
      "allOf": [
        {
          "$ref": "#/components/schemas/Metadata"
        },
        {
          "description": "Contains additional resource information needed for specific datasets."
        }
      ]
    }
  }
}