Name
Abstract | ||
|---|---|---|
Multi-version concurrency control method has nowadays been widely used in data warehouses to provide OLAP queries and ETL maintenance flows with concurrent access. A snapshot is taken on existing warehouse tables to answer a certain query independently of concurrent updates. In this work, we extend this snapshot with the deltas which reside at the source side of ETL flows. Before answering a query, relevant tables are first refreshed with the exact source deltas which are captured at the time this query arrives (so-called query-driven policy). Snapshot maintenance is done by an incremental recomputation pipeline which is flushed by a set of consecutive deltas belonging to a sequence of incoming queries. A workload scheduler is thereby used to achieve a serializable schedule of concurrent maintenance tasks and OLAP queries. Performance has been examined by using read-/update-heavy workloads. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-22729-0_17 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Data warehouse,Data mining,Pipeline transport,Serialization,Concurrency control,Computer science,Workload,Online analytical processing,Snapshot (computer storage),Database | Conference | 9263 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.37 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiping Qu | 1 | 6 | 3.15 |
| Vinanthi Basavaraj | 2 | 2 | 0.37 |
| Sahana Shankar | 3 | 4 | 0.73 |
| stefan dessloch | 4 | 91 | 11.69 |