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pub struct TransformS3DataSource {
    pub s3_data_type: String,
    pub s3_uri: String,
}
Expand description

Describes the S3 data source.

Fields

s3_data_type: String

If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

The following values are compatible: ManifestFile, S3Prefix

The following value is not compatible: AugmentedManifestFile

s3_uri: String

Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

  • A key name prefix might look like this: s3://bucketname/exampleprefix.

  • A manifest might look like this: s3://bucketname/example.manifest

    The manifest is an S3 object which is a JSON file with the following format:

    [ {"prefix": "s3://customerbucket/some/prefix/"},

    "relative/path/to/custdata-1",

    "relative/path/custdata-2",

    ...

    "relative/path/custdata-N"

    ]

    The preceding JSON matches the following S3Uris:

    s3://customerbucket/some/prefix/relative/path/to/custdata-1

    s3://customerbucket/some/prefix/relative/path/custdata-2

    ...

    s3://customerbucket/some/prefix/relative/path/custdata-N

    The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

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