Amazon Technologies, Inc.

Vincent M Rohr

Gregory J Briggs

Chris A Suver

Manish Ramesh Bhatia

Andrew Alphus Kimbrough

Ajay Kumar Sarda

Atul Aggarwal

Ankur Singla

Brandon A Cook

Disclosed are various embodiments for adding product customization offerings to a product catalog. One such embodiment comprises receiving a request to create a product customization attribute for a product entry in a product catalog; generating the product customization attribute from at least one option selected on a product customization attribute template specific to a product category associated with the product entry; and directing storage of the product customization attribute associated with the product catalog entry.

Product customization offerings

A dataset structure that is suitable for transferring data between service components may include a table having one or more rows and a plurality of columns. The table may be defined by a schema for an entity type. The schema may include a corresponding column definition for each column. Each of the rows may store a tuple of information that conforms to the entity type defined by the schema. A data transfer component may use the dataset structure to transfer data between the service components.

Data transfer optimization

A sub-container concurrency component of a tiered middleware framework ensures optimistic concurrency for transactions on hierarchical data containers. The component identifies an uppermost container level of a data read for performing a requested data modification to one or more data containers. The component further reads one or more of a parent version value or a child version value of the data container in the uppermost container level at a first time and a second time. Thus, the component writes data to the one or more data containers when each version value, such as the parent version value or the child version value, read at the first time matches its corresponding read version value read at the second time.

Sub-containment concurrency for hierarchical data containers

A multi-blob consistency component of a tiered middleware framework ensures data blobs are transacted in an atomic manner. The component determines a data blob of a data store to be modified based on an application request. The component then reads a master blob to locate a stored version number of the data blob to be modified and a version number of the master blob. A new data blob with a new version number that replaces the data blob to be modified is written to the data store. The component then reads the master blob again to re-obtain the version number of the master blob. Thus, when the obtained and re-obtained version numbers match, the component replaces the stored version number of the data blob with the new version number of the new data blob. Further, the component deletes the data blob to be modified using the stored version number.

Multi-blob consistency for atomic data transactions

Techniques for providing access to data are disclosed. In an embodiment, a method for providing access to data involves storing data among a plurality of data stores where at least two of the data stores differ in at least one ability to perform a data operation. A mapping associates data containers with locations of corresponding data among the data stores. At least a portion of the data is redistributed among the data stores according to at least one policy that defines where among the data stores said at least a portion of the data should be stored. A request from a requestor to access particular data corresponding a data container is received and the particular data is located using the mapping. The particular data is provided to the requestor.

Techniques for storing data

A blob transaction component is a tiered middleware framework component that facilitates data transactions across arbitrary data blobs in an optimistically consistent manner. The component receives a request to transact data across multiple stored data blobs. For each stored data blob, the component creates a duplicate data blob. The component then creates a record blob that includes a pointer to the duplicate data blob. The stored data blob is then modified by the component to point to the record blob using optimistic locking. The component then creates a new data blob that includes modified data. The component further updates the record blob to include a pointer to the new data blob using optimistic locking. Following locking of the record blob, the stored data blob is updated with the modified data by the component, and the record blob, the duplicate data blob, and the new data blobs are deleted.

Optimistically consistent arbitrary data blob transactions

A transactionally consistent indexer is a tiered middleware framework component that updates a transactional index for a data blob according to a data transaction requested by an application. The transactionally consistent indexer determines index entries to be added or removed from a transaction index based on the application request. The transactionally consistent indexer further inserts each index entry to be added into the transaction index. With respect to each index entry to be removed, the transactionally consistent indexer uses a time stamp or version number of the index entry for ensuring optimistic concurrency during deletion. The transactionally consistent indexer then updates a data blob that is associated with each index entry to be added or each index entry to be removed based on the application request.

Transactionally consistent indexing for data blobs

A tiered middleware framework for transacting data between an application layer and a data storage layer includes modular components. The tiered middleware framework is implemented when the arrangement of the modular components enables the tiered middleware framework to meet or exceed certain data transaction criteria. However, when the data transaction criteria are not met by the tiered middleware framework with arrangement of the modular components, the modular components in the tiered middleware framework is rearranged.

Growing community of inventors

Woodinville, WA, United States of America

Vincent M Rohr