International Business Machines Corporation

Ocient Holdings LLC

Pure Storage, Inc.

Gregory A Papadopoulos

Jason K Resch

Greg R Dhuse

Andrew D Baptist

Kumar Abhijeet

Ilir Iljazi

Finley Jordan Lau

Natalia Marie Jenuwine

Andrew Michael Bass

Hassan Farahani

George Kondiles

Praveen Viraraghavan

Niall John McShane

Patrick Aaron Tamborski

Ying Zhao Guo

Akiko Sato

A database system operates by: determining a set of assigned segments based on data ownership information; generating a plurality of segment handles and a corresponding plurality of segment metadata for the set of assigned segments based on performing a segment activation step for the set of assigned segments; determining a first query for execution requiring access to a first segment of the set of assigned segments; and executing an IO operator of the first query based on loading the first segment by utilizing a corresponding one of the plurality of segment handles.

Query execution in a database system utilizing segment handles

A database system is operable to, during a first temporal period, facilitate execution of a first query to generate a first query resultant based on access to an initial set of segments. During a second temporal period after the first temporal period, an updated segment is generated based on determining to re-store corresponding column values of an initial segment via applying at least one storage optimization technique. During the second temporal period, execution of a second query is facilitated to generate a second query resultant via access to the initial segment. After the second temporal period, storage of the initial segment is replaced with storage of the updated segment. During a third temporal period after the second temporal period, execution of a third query is facilitated to generate a third corresponding query resultant via access to the updated segment.

Query execution during storage formatting updates

A failure detection and correction module (FDCM) uses statistical measurement to detect failures in a distributed computing system caused by hardware, software, workflow, deployment, environmental factors, etc. in a component of the computing system, the computing system, or multiple computing systems and produces corrective actions. The FDCM identifies issues from various components, correlates the estimated failures in each level of components and rolls up failures and estimated failures from each level of components to system level estimations of failures, reevaluates the system reliability factors, readjusts the system reliability and system functions from the adjusted reliability factors, and produces intelligent corrective actions to improve both system reliability and the system efficiency. Corrective action includes changing slice storing parameters and rebuild priorities on a dispersed storage system.

Failure detection and correction in a distributed computing system

A dispersed storage network (DSN) includes multiple storage units. A processing unit included in the DSN issues an access request to one of the storage units, and identifies the storage unit as a failing storage unit based, at least in part, on a rate of growth of a network queue associated with the storage unit. the processing unit then issues an error indicator to a recovery unit for further action.

Automated stalled process detection and recovery

A dispersed storage network (DSN) includes multiple storage units. A processing unit included in the DSN detects a failing storage unit, and issues an error indicator to a recovery unit. The error indicator indicates the failing storage unit. To verify that the storage unit is failing, the recovery unit issues a test request to the failing storage unit. The recovery unit determines to implement a corrective action for recovery units that are determined to be actually failing, and facilitates implementing the corrective action.

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Gregory A Papadopoulos