Abstract | ||
---|---|---|
The demo features Partiqle, a SQL engine over key-value stores as a relational alternative for the recent procedural approaches to support OLTP workloads elastically. Based on our microsharding framework [12], it employs a declarative specification, called transaction classes, of constraints applied on the transactions in a workload. We demonstrate use of a transaction class in design and analysis of OLTP workloads. We then demonstrate live-scaling of our fully functioning system on a server cluster. |
Year | DOI | Venue |
---|---|---|
2012 | 10.1145/2213836.2213917 | SIGMOD Conference |
Keywords | Field | DocType |
server cluster,recent procedural approach,declarative specification,oltp workloads elastically,transaction class,key-value store,elastic sql engine,sql engine,oltp workloads,relational alternative,microsharding framework,oltp,cloud computing,scalability,elasticity | SQL,Computer science,Workload,Online transaction processing,Database transaction,Database,Computer cluster,Scalability,Cloud computing | Conference |
Citations | PageRank | References |
8 | 0.58 | 9 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Junichi Tatemura | 1 | 655 | 43.48 |
Oliver Po | 2 | 204 | 14.29 |
Wang-Pin Hsiung | 3 | 473 | 25.90 |
Hakan HacigümüŞ | 4 | 676 | 33.15 |