Represents information on how DataBrew can find data, in either the Glue Data Catalog or Amazon S3.
Type: objectProperties: 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.
{
"$schema": "https://json-structure.org/meta/core/v0/#",
"$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."
}
]
}
}
}
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