Until the change is fully propagated, Amazon S3 might return the prior data. However, information about the changes must replicate across Amazon S3, which can take some time, and so you might observe the following behaviors: The following table describes the characteristics of eventually consistent read and consistent read.
The caveat is that if you make a HEAD or GET request to the key name to find if the object exists before creating the object, Amazon S3 provides eventual consistency for read-after-write.
A process writes a new object to Amazon S3 and immediately lists keys within its bucket. The metadata is a set of name-value pairs that describe the object. If two PUT requests are simultaneously made to the same key, the request with the latest time stamp wins.
Keys A key is the unique identifier for an object within a bucket. Objects consist of object data and metadata. For more information, see Versioning. You can also configure a bucket so that every time an object is added to it, Amazon S3 generates a unique version ID and assigns it to the object.
Updates to a single key are atomic. For more information, see Keys and Versioning. A process deletes an existing object and immediately lists keys within its bucket.
These include some default metadata, such as the date last modified, and standard HTTP metadata, such as Content-Type. For more information about buckets, see Working with Amazon S3 Buckets.
Every object is contained in a bucket. For example, objects stored in the EU Ireland region never leave it. An object is uniquely identified within a bucket by a key name and a version ID. Objects stored in a region never leave the region unless you explicitly transfer them to another region.
Until the change is fully propagated, the object might not appear in the list. Note Amazon S3 does not currently support object locking. A process replaces an existing object and immediately attempts to read it.
If a PUT request is successful, your data is safely stored. The data portion is opaque to Amazon S3. Regions You can choose the geographical region where Amazon S3 will store the buckets you create. For example, you cannot make the update of one key dependent on the update of another key unless you design this functionality into your application.
For example, in the URL http: Every object in Amazon S3 can be uniquely addressed through the combination of the web service endpoint, bucket name, key, and optionally, a version. This section describes key concepts and terminology you need to understand to use Amazon S3 effectively.
For more information about object keys, see Object Keys. Buckets A bucket is a container for objects stored in Amazon S3.Medieval Music (The Norton Introduction to Music History) [Richard H.
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