Abstract: Database compiler with environment support may be provided. Database operators in a database compiler may be extended to include environment as an input parameter in addition to input data for native environment support. Environment operators may be added to the database compiler, which perform one or more of accessing and modifying the environment. Environment operators may include a return-environment operator, a map-with-environment operator and a compose-with-environment operator.

Abstract: Running a global production rule on data distributed over a plurality of machines may comprise receiving a local production rule that can run on each of the plurality of machines to jointly accomplish a global computation specified by the global production rule. The local production rule may be deployed to each of the plurality of machines, each of which stores a portion of the data and runs an instance of a rules engine that can run the local production rule. The plurality of machines are enabled to communicate intermediate data produced by the instance of the rules engine running the local production rule on said each of the machines. Coordinating between the plurality of machines is enabled to synchronize one or more local computations performed locally according to the local production rule on said each machine.

Abstract: Running a global production rule on data distributed over a plurality of machines may comprise receiving a local production rule that can run on each of the plurality of machines to jointly accomplish a global computation specified by the global production rule. The local production rule may be deployed to each of the plurality of machines, each of which stores a portion of the data and runs an instance of a rules engine that can run the local production rule. The plurality of machines are enabled to communicate intermediate data produced by the instance of the rules engine running the local production rule on said each of the machines. Coordinating between the plurality of machines is enabled to synchronize one or more local computations performed locally according to the local production rule on said each machine.

Abstract: Running a global production rule on data distributed over a plurality of machines may comprise receiving a local production rule that can run on each of the plurality of machines to jointly accomplish a global computation specified by the global production rule. The local production rule may be deployed to each of the plurality of machines, each of which stores a portion of the data and runs an instance of a rules engine that can run the local production rule. The plurality of machines are enabled to communicate intermediate data produced by the instance of the rules engine running the local production rule on said each of the machines. Coordinating between the plurality of machines is enabled to synchronize one or more local computations performed locally according to the local production rule on said each machine.

Abstract: Extensible Markup Language (XML) data is mapped to be stored in an alternative data base management system (DBMS) by generating a plurality of alternative ones of mappings in response to a supplied XML document and corresponding XML schema; evaluating at least a prescribed attribute of each of the plurality of mappings with respect to an expected workload for the storage system; and selecting one of the alternative mappings based on the prescribed attribute which is the most advantageous for the expected system workload. More specifically, applicants employ a unique process that utilizes a unique notion of physical XML Schemas, i.e., P-Schemas; a P-Schema costing procedure; a set of P-Schema rewritings; and a search strategy to heuristically determine the P-Schema with the least cost. Specifically, the unique notion of physical XML Schemas, extend XML Schemas to contain data statistics; a P-Schema can be easily and uniquely mapped into a storage configuration for the target DBMS.