Microsoft Technology Licensing, LLC

Yiming Yang

Andrew Joseph Carter

Scott M Meyer

Siddharth Rajendra Shah

Andrew Rodriguez

Jiajun Yao

Tiance Liang

Dhruvesh Rathore

The disclosed technologies are capable of selectively using data structure operations for path query evaluation. One technique involves reading a query that traverses at least two nodes and at least one edge of a graph in a graph database; compiling the query into a set of variables and a set of constraints, where the set of variables and the set of constraints correspond to the two nodes and the one edge of the graph; creating an in-memory data structure that comprises a table; using the set of variables and the set of constraints to determine an operation that is performable using the in-memory data structure; checking for an existence of a condition relating to the in-memory data structure or the operation; skipping the operation if the condition exists or executing the operation if the condition does not exist; and storing a set of intermediate query results in the table.

Selective use of data structure operations for path query evaluation

The disclosed embodiments provide a system for processing queries of a graph database storing a graph, wherein the graph comprises a set of edges defined by a first linkage, a second linkage, and a third linkage. During operation, the system maintains the base version of an index of the graph database. Upon branching a version of the graph database from a first offset representing a virtual time in the base version of the graph database, the system creates a branched version of the index from a second offset corresponding to the virtual time in the base version of the index. The system then processes queries of the graph database based on the offsets and references from the branched version of the index to the base version of the index.

Branch threading in graph databases

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Fremont, CA, United States of America

Yiming Yang