Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A method of executing a distributed join query for a set of documents includes communication between a first server and a second server. In the first server, a first tuple list is generated from a first list of documents matching a precondition part of the query. A first set of value identifiers of attributes associated with the first list of documents is extracted from the first tuple list. A first set of dictionary keys is generated from the set of value identifiers. Then, the first set of dictionary keys is sent with a join condition attribute to a second server. In the second server, the first set of value identifiers is converted to a second set of value identifiers of attributes associated with the second server based on the set of dictionary keys. Then, a lookup of documents is performed based on the second set of value identifiers.

Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A system and method for executing semijoin reductions on outer join operations are presented. Tuple lists are created based on a query. A sequence of semijoin reduction steps are performed, where each semijoin reduction step either switches one tuple list, or reduces all tuple lists at one relation. Virtual connector pairs are inserted into the tuple lists, and then all tuple lists are centralized at a common host. The join results are assembled at the common host, and negative row IDs are substituted. From the join result, the query result is retrieved by projecting to the requested attributes.

Abstract: A method of executing a distributed join query for a set of documents includes communication between a first server and a second server. In the first server, a first tuple list is generated from a first list of documents matching a precondition part of the query. A first set of value identifiers of attributes associated with the first list of documents is extracted from the first tuple list. A first set of dictionary keys is generated from the set of value identifiers. Then, the first set of dictionary keys is sent with a join condition attribute to a second server. In the second server, the first set of value identifiers is converted to a second set of value identifiers of attributes associated with the second server based on the set of dictionary keys. Then, a lookup of documents is performed based on the second set of value identifiers.