International Business Machines Corporation

David Michael Enyeart

Benjamin Michael Parees

Kevin Patrick McAuliffe

David Michael Eads

Eric Donald Wayne

Billy R Rowe, Jr

Latha Sivakumar

Luis Eduardo Guillen-Sanchez

Dan McBryde Willey

Manish Sethi

A performance bookmark of a dashboard view is created, e.g., in response to a triggering event. The performance bookmark includes a name, a timestamp, a reference to the visual properties of the dashboard view at the time that the performance bookmark is created and a reference to relationships of information displayed by the dashboard view at the time the performance bookmark is created. When a performance bookmark is recalled, the dashboard view is configured to correspond with the visual properties and relationships of information recorded at the time the select performance bookmark was created. Performance bookmarks are instances and relationships, and are not limited to snap shots captured of a static visual image of a dashboard screen from a corresponding dashboard user interface. As such, a retrieved dashboard view of a performance bookmark that is recalled from the bookmark system is live and supports user interaction.

Business performance bookmarks

An example operation may include one or more of creating, by a blockchain node, a validation database in a memory, simulating each of one or more transactions, determining that each transaction in a new block may be validated using the validation database, validating each transaction in the new block using the validation database, and committing the new block to the blockchain. The validation database includes data corresponding to a predetermined number of most recent blocks of a state database for a blockchain.

Efficient validation for blockchain

A method, system and computer program product for ensuring that archival data deleted in a source table is already stored in a target table. An external data source sets a flag in the first table to identify the row in the source table to be deleted. An application sets a flag in a second table for each row of the source table that is marked to be deleted according to the first table. The application performs uncommitted read operations on the source table for each row corresponding to the distinct primary key values stored in the first table. The application inserts the data read into the corresponding rows of the target table. The application deletes the rows in the source table indicated to be deleted by the second table. In this manner, the archival data deleted from the source table is ensured to already be stored in the target table.

Ensuring that the archival data deleted in relational source table is already stored in relational target table

A method, system and computer program product for performing synchronization between source and target tables. An external data source inserts a new row in a first table as it modifies or creates a row in the source table where each new row in the first table includes a primary key value associated with the modified/created row in the source table. An application copies the distinct values for the primary keys listed in the first table and inserts them in a second table. The application performs uncommitted read operations on the source table for each row corresponding to the primary key values stored in the second table. The application inserts the data read into the corresponding rows of the target table. In this manner, a platform agnostic application may be able to synchronize the relational source and target tables in an efficient manner while minimizing the contention at the source table.

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Raleigh, NC, United States of America

David Michael Enyeart