Abstract: Vertex/edge table rows are mapped to unique integer identifiers, to enable construction of in-memory representation of a graph from existing, unmodified RDBMS tables. The unique integer identifiers are based on an encoding of primary key values of the table rows. The unique integer identifiers are used as graph indexes of the in-memory representation.

Abstract: Techniques are provided for mapping vertex/edge table rows to unique integer identifiers, to enable construction of in-memory representation of a graph from existing, unmodified RDBMS tables. The unique integer identifiers are based on an encoding of primary key values of the table rows. The unique integer identifiers are used as graph indexes of the in-memory representation.

Abstract: Techniques are provided for processing a graph query by exploiting an in-memory graph index and minimizing the number of storage accesses needed to project properties of generated paths. A predefined number of paths from a graph query runtime is accumulated, using different data structures, before executing storage accesses necessary to retrieve all properties needed. A first data structure stores all paths from the graph query runtime that hit cache(s) entirely. A second data structure stores paths that do not hit caches at any level or only a subset of the levels does. Once any of these data structures are full, result rows are produced based on the two data structures prior to extracting more paths from the graph query runtime.

Abstract: A method for distributing tables to a cluster of nodes managed by database management system (DBMS), is disclosed. Multiple data placement schemes are evaluated based on a query workload set to select a data placement scheme for the cluster of nodes. Tables, used in join operations in the workload set, are selected for evaluation of data placement schemes. Query execution costs for the workload set are generated based on estimating a query execution cost for each data placement scheme for the tables. The data placement scheme that has least costly estimated execution cost for the workload set is selected as the data placement scheme for the cluster of nodes managed by DBMS.

Abstract: A method for distributing tables to a cluster of nodes managed by database management system (DBMS), is disclosed. Multiple data placement schemes are evaluated based on a query workload set to select a data placement scheme for the cluster of nodes. Tables, used in join operations in the workload set, are selected for evaluation of data placement schemes. Query execution costs for the workload set are generated based on estimating a query execution cost for each data placement scheme for the tables. The data placement scheme that has least costly estimated execution cost for the workload set is selected as the data placement scheme for the cluster of nodes managed by DBMS.