USING TEMPORARY TABLES TO STORE GRAPH ALGORITHM RESULTS FOR A RELATIONAL DATABASE MANAGEMENT SYSTEM
Techniques described herein allow a user of an RDBMS to specify a graph algorithm function (GAF) that takes a graph object as input and returns a logical graph object as output. GAFs are used within graph queries to compute temporary and output properties ("GAF-computed properties"), which...
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Zusammenfassung: | Techniques described herein allow a user of an RDBMS to specify a graph algorithm function (GAF) that takes a graph object as input and returns a logical graph object as output. GAFs are used within graph queries to compute temporary and output properties ("GAF-computed properties"), which are live for the duration of the query cursor execution. GAF-computed output properties are accessible in the enclosing graph pattern matching query as though they were part of the input graph object of the GAF. Temporary cursor-duration tables are generated for the query cursor during compilation of a graph query that includes a GAF, and are used to store the GAF-computed properties. Each temporary table corresponds to one of the primary tables of the input graph, and includes, as a foreign key, primary key information from the corresponding primary table. Thus, the input graph of a GAF may be a "heterogeneous" graph. |
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