Struct aws_sdk_personalize::types::DataSource

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#[non_exhaustive]
pub struct DataSource { pub data_location: Option<String>, }
Expand description

Describes the data source that contains the data to upload to a dataset, or the list of records to delete from Amazon Personalize.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§data_location: Option<String>

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

Implementations§

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impl DataSource

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pub fn data_location(&self) -> Option<&str>

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

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impl DataSource

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pub fn builder() -> DataSourceBuilder

Creates a new builder-style object to manufacture DataSource.

Trait Implementations§

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impl Clone for DataSource

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fn clone(&self) -> DataSource

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for DataSource

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for DataSource

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fn eq(&self, other: &DataSource) -> bool

This method tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for DataSource

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impl<T> Any for T
where T: 'static + ?Sized,

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fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more
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where T: ?Sized,

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fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more
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impl<T> BorrowMut<T> for T
where T: ?Sized,

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fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more
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fn from(t: T) -> T

Returns the argument unchanged.

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Instruments this type with the provided Span, returning an Instrumented wrapper. Read more
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Calls U::from(self).

That is, this conversion is whatever the implementation of From<T> for U chooses to do.

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Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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impl<Unshared, Shared> IntoShared<Shared> for Unshared
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fn into_shared(self) -> Shared

Creates a shared type from an unshared type.
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impl<T> Same for T

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type Output = T

Should always be Self
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Uses borrowed data to replace owned data, usually by cloning. Read more
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type Error = <U as TryFrom<T>>::Error

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