Implementation and Evaluation of CHQL Operators in Relational Database Systems: Unterschied zwischen den Versionen
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|kurzfassung=The IPD defined CHQL, a query algebra that enables to | |kurzfassung=The IPD defined CHQL, a query algebra that enables to formalize queries about conceptual history. CHQL is currently implemented in MapReduce which offers less flexibility for query optimization than relational database systems does. The scope of this thesis is to implement the given operators in SQL and analyze performance differences by identifying limiting factors and query optimization on the logical and physical level. At the end, we will provide efficient query plans and fast operator implementations to execute CHQL queries in relational database systems. | ||
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Aktuelle Version vom 23. April 2019, 10:17 Uhr
| Vortragende(r) | Cristian Albu | |
|---|---|---|
| Vortragstyp | Proposal | |
| Betreuer(in) | Jens Willkomm | |
| Termin | Fr 26. April 2019 | |
| Vortragsmodus | ||
| Kurzfassung | The IPD defined CHQL, a query algebra that enables to formalize queries about conceptual history. CHQL is currently implemented in MapReduce which offers less flexibility for query optimization than relational database systems does. The scope of this thesis is to implement the given operators in SQL and analyze performance differences by identifying limiting factors and query optimization on the logical and physical level. At the end, we will provide efficient query plans and fast operator implementations to execute CHQL queries in relational database systems. | |