Micron Technology Incorporated

Greg A Becker

Alexander Tomlinson

Steven Moyer

Nabeel Meeramohideen Mohamed

David Boles

Sudheer Kurichiyath

David Burton

Gaurav Sanjay Ramdasi

Tristan Antonio Partin

Methods, systems, and devices for techniques to balance log structured merge trees are described. A computing system may rebalance a tree structure having an ordered set of leaf nodes by splitting or joining leaf nodes of the tree structure. To split a leaf node, the computing system may select a key to evenly partition key and value data stored in the leaf. The computing system may place each key block of the leaf node having keys less than or equal to the selected key in a first new leaf node, and may place each key block of the leaf node having keys greater than the selected key in a second new leaf node. To join leaf nodes of the tree structure, the computing system may place each key block and each value block of the leaf node and the adjacent leaf node in a new leaf node.

Techniques to balance log structured merge trees

Methods, systems, and devices for techniques to group media blocks are described. In some cases, a computing system may generate a memory map for a preconfigured size or chunk of data. For example, the computing system may divide files of media blocks into a set of fixed sized chunks of consecutive media blocks. Upon an application requesting a memory map for a set of media blocks, a storage layer of the computing system may generate a sub-map of the memory map for each chunk of data containing a media block of the set of requested media blocks. In some cases, the computing system may assign the chunks of data a continuous range of addresses in the virtual address space of the application. Upon generating the memory map, the storage layer may return an indication of the virtual address ranges of the requested media blocks to the application.

Techniques to group media blocks

Aspects of the present disclosure provide for operations for a tree data structure that provides order-based node traversal. For some embodiments, the tree data structure stores one or more key-value pairs, implements at least one linked-list data structure, and enables traversal of nodes within the tree data structure based on a key order (e.g., forward or reverse key order).

Data tree with order-based node traversal

Aspects of the present disclosure provide for operations of a key-value store (KVS) that uses journaling with storage of data (e.g., key data or value data of a key-value pair) in different types of data storage objects (e.g., data storage formats) selected based on one or more criteria.

Key-value store using journaling with selective data storage format

Aspects of the present disclosure provide for operations of a key-value tree data structure that: merge key-value sets within a given node by merging and rewriting key blocks of the key-value sets while rewriting or deferring rewrite of value blocks of the merged key-value sets based on whether one or more child nodes of the given node comprise a leaf node; and move one or more portions of the merged key-value set into one or more child nodes of the given node.

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Austin, TX, United States of America

Greg A Becker