Represents options that specify how and where in the Glue Data Catalog DataBrew writes the output generated by recipe jobs.
Type: objectProperties: 6Required: 2
Data AnalyticsData PreparationETLMachine-Learning
DataCatalogOutput is a JSON Structure definition published by Amazon Glue DataBrew, describing 6 properties, of which 2 are required. 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-data-catalog-output-structure.json",
"name": "DataCatalogOutput",
"description": "Represents options that specify how and where in the Glue Data Catalog DataBrew writes the output generated by recipe jobs.",
"type": "object",
"properties": {
"CatalogId": {
"allOf": [
{
"$ref": "#/components/schemas/CatalogId"
},
{
"description": "The unique identifier of the Amazon Web Services account that holds the Data Catalog that stores the data."
}
]
},
"DatabaseName": {
"allOf": [
{
"$ref": "#/components/schemas/DatabaseName"
},
{
"description": "The name of a database in the Data Catalog."
}
]
},
"TableName": {
"allOf": [
{
"$ref": "#/components/schemas/TableName"
},
{
"description": "The name of a table in the Data Catalog."
}
]
},
"S3Options": {
"allOf": [
{
"$ref": "#/components/schemas/S3TableOutputOptions"
},
{
"description": "Represents options that specify how and where DataBrew writes the Amazon S3 output generated by recipe jobs."
}
]
},
"DatabaseOptions": {
"allOf": [
{
"$ref": "#/components/schemas/DatabaseTableOutputOptions"
},
{
"description": "Represents options that specify how and where DataBrew writes the database output generated by recipe jobs."
}
]
},
"Overwrite": {
"allOf": [
{
"$ref": "#/components/schemas/OverwriteOutput"
},
{
"description": "A value that, if true, means that any data in the location specified for output is overwritten with new output. Not supported with DatabaseOptions."
}
]
}
},
"required": [
"DatabaseName",
"TableName"
]
}
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