interface CfnDatasetMixinProps
| Language | Type name |
|---|---|
.NET | Amazon.CDK.CfnPropertyMixins.AWS.DataBrew.CfnDatasetMixinProps |
Go | github.com/aws/aws-cdk-go/awscdkcfnpropertymixins/v2/awsdatabrew#CfnDatasetMixinProps |
Java | software.amazon.awscdk.cfnpropertymixins.services.databrew.CfnDatasetMixinProps |
Python | aws_cdk.cfn_property_mixins.aws_databrew.CfnDatasetMixinProps |
TypeScript | @aws-cdk/cfn-property-mixins » aws_databrew » CfnDatasetMixinProps |
Properties for CfnDatasetPropsMixin.
See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-databrew-dataset.html
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_databrew as databrew } from '@aws-cdk/cfn-property-mixins';
const cfnDatasetMixinProps: databrew.CfnDatasetMixinProps = {
format: 'format',
formatOptions: {
csv: {
delimiter: 'delimiter',
headerRow: false,
},
excel: {
headerRow: false,
sheetIndexes: [123],
sheetNames: ['sheetNames'],
},
json: {
multiLine: false,
},
},
input: {
databaseInputDefinition: {
databaseTableName: 'databaseTableName',
glueConnectionName: 'glueConnectionName',
queryString: 'queryString',
tempDirectory: {
bucket: 'bucket',
bucketOwner: 'bucketOwner',
key: 'key',
},
},
dataCatalogInputDefinition: {
catalogId: 'catalogId',
databaseName: 'databaseName',
tableName: 'tableName',
tempDirectory: {
bucket: 'bucket',
bucketOwner: 'bucketOwner',
key: 'key',
},
},
metadata: {
sourceArn: 'sourceArn',
},
s3InputDefinition: {
bucket: 'bucket',
bucketOwner: 'bucketOwner',
key: 'key',
},
},
name: 'name',
pathOptions: {
filesLimit: {
maxFiles: 123,
order: 'order',
orderedBy: 'orderedBy',
},
lastModifiedDateCondition: {
expression: 'expression',
valuesMap: [{
value: 'value',
valueReference: 'valueReference',
}],
},
parameters: [{
datasetParameter: {
createColumn: false,
datetimeOptions: {
format: 'format',
localeCode: 'localeCode',
timezoneOffset: 'timezoneOffset',
},
filter: {
expression: 'expression',
valuesMap: [{
value: 'value',
valueReference: 'valueReference',
}],
},
name: 'name',
type: 'type',
},
pathParameterName: 'pathParameterName',
}],
},
source: 'source',
tags: [{
key: 'key',
value: 'value',
}],
};
Properties
| Name | Type | Description |
|---|---|---|
| format? | string | The file format of a dataset that is created from an Amazon S3 file or folder. |
| format | IResolvable | Format | A set of options that define how DataBrew interprets the data in the dataset. |
| input? | IResolvable | Input | Information on how DataBrew can find the dataset, in either the AWS Glue Data Catalog or Amazon S3 . |
| name? | string | The unique name of the dataset. |
| path | IResolvable | Path | A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset. |
| source? | string | The location of the data for the dataset, either Amazon S3 or the AWS Glue Data Catalog . |
| tags? | Cfn[] | Metadata tags that have been applied to the dataset. |
format?
Type:
string
(optional)
The file format of a dataset that is created from an Amazon S3 file or folder.
formatOptions?
Type:
IResolvable | Format
(optional)
A set of options that define how DataBrew interprets the data in the dataset.
input?
Type:
IResolvable | Input
(optional)
Information on how DataBrew can find the dataset, in either the AWS Glue Data Catalog or Amazon S3 .
name?
Type:
string
(optional)
The unique name of the dataset.
pathOptions?
Type:
IResolvable | Path
(optional)
A set of options that defines how DataBrew interprets an Amazon S3 path of the dataset.
source?
Type:
string
(optional)
The location of the data for the dataset, either Amazon S3 or the AWS Glue Data Catalog .
tags?
Type:
Cfn[]
(optional)
Metadata tags that have been applied to the dataset.

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