Yellowbrick Data, Inc.

Sandisk Technologies Inc.

Intelligent Intellectual Property Holdings 2 LLC

Jim Peterson

Paritosh Kulkarni

Adel Alsaadi

David Atkisson

David Nellans

Jeremy Lynn Garff

Nisha D Talagala

John Strasser

Michael Zappe

Robert A Wipfel

Jea Hyun

Jonathan Ludwig

Michael Callahan

Ann Martin

Mike Zappe

A system and method processes join requests via independently running engines. A build side table to be joined is allocated among high speed memories of the engines. Each row of a probe side are allocated to the engine likely to have build side data corresponding to the row, and the engine then performs the join. Aggregation statistics may be computed by distributing the information across the engines.

System and method for storing data for, and providing, rapid database join functions and aggregation statistics

A system and method checks packetized data retrieved from a bus that is ordinarily considered reliable that was already error checked and/or corrected before being placed on the bus by applying a hash or checksum or other function to each packet to produce a packet checksum and then applying another function to the ordered packet checksums and comparing the result to one sent by the device that checked and/or corrected, and sent, the data packets.

System and method for checking data to be processed or stored

A system and method uses a set of processors that each perform a logic function to identify portions of a data source meeting a criteria. Each logic function is performed against a row of a column of the data source, and a value that is derived from the criteria for that logic function, which is also derived from the criteria. The output of each of the logic functions is applied as an address to a table that has been configured to read true at the addresses corresponding to the criteria being met, and false otherwise. Data from the row of the database table having a table value of true are retrieved from the data source.

System and method for retrieving data

A system and method stores a database file into Flash memory or other write-constrained storage. The system and method can decompress the data to use to process a request by only decompressing data it determines, via metadata, might correspond to a criteria in the request.

System and method for storing and reading a database on flash memory or other degradable storage

A system and method stores a database file into Flash memory or other write-constrained storage.

System and method for storing a database on flash memory or other degradable storage

Storage divisions are selected for garbage collection by use of a first selection criterion that is based on an amount of storage capacity freed by reclaiming the respective storage divisions. The first selection criterion may be overridden by a second, different selection criterion in response to determining that a wear variance of the storage divisions exceeds a threshold. The second selection criterion may select a storage division to reclaim based on a wear-level of the storage division. Overrides of the first selection criterion may be limited to a particular override frequency and/or period. The first selection criterion may comprise a logarithmic comparison of the amount of invalid data within the storage divisions. The amount of invalid data in a storage division may be calculated in terms of recovery blocks, having a size that exceeds the size of the physical storage locations within the storage divisions.

Systems and methods for storage recovery

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San Jose, CA, United States of America

Jim Peterson