Name
Abstract | ||
|---|---|---|
We present an approach to managing the execution of large queries that involves the decomposition of the queries into an equivalent set of smaller queries. The smaller queries are then scheduled such that the work is accomplished with less impact on other, possibly more important queries. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1145/1321211.1321245 | CASCON |
Keywords | Field | DocType |
large sql query,important query,smaller query,large query,empirical study | SQL,Computer science,Real-time computing,Spatial query,Database,Empirical research | Conference |
Citations | PageRank | References |
1 | 0.35 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yabin Meng | 1 | 1 | 0.35 |
| Paul Bird | 2 | 119 | 8.78 |
| Pat Martin | 3 | 80 | 5.64 |
| Wendy Powley | 4 | 329 | 28.43 |