DC Field | Value | Language |
---|---|---|
dc.contributor.author | HAN, WOOK SHIN | - |
dc.contributor.author | LEE, JUCHANG | - |
dc.contributor.author | LEE, HYEJEONG | - |
dc.contributor.author | KO, SEONGYUN | - |
dc.contributor.author | KIM, KYU HWAN | - |
dc.contributor.author | Andrei, Mihnea | - |
dc.contributor.author | Keller, Fredrich | - |
dc.date.accessioned | 2020-09-18T08:50:38Z | - |
dc.date.available | 2020-09-18T08:50:38Z | - |
dc.date.created | 2020-09-16 | - |
dc.date.issued | 2020-09-04 | - |
dc.identifier.issn | 2150-8097 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/104131 | - |
dc.description.abstract | Database replication is widely known and used for high availability or load balancing in many practical database systems. In this paper, we show how a replication engine can be used for three important practical cases that have not previously been studied very well. The three practical use cases include: 1) scaling out OLTP/OLAP-mixed workloads with partitioned replicas, 2) efficiently maintaining a distributed secondary index for a partitioned table, and 3) efficiently implementing an online re-partitioning operation. All three use cases are crucial for enabling a high performance shared-nothing distributed database system. To support the three use cases more efficiently, we propose the concept of asymmetric-partition replication, so that replicas of a table can be independently partitioned regardless of whether or how its primary copy is partitioned. In addition, we propose the optimistic synchronous commit protocol which avoids the expensive two-phase commit without sacrificing transactional consistency. The proposed asymmetric-partition replication and its optimized commit protocol are incorporated in the production versions of the SAP HANA in-memory database system. Through extensive experiments, we demonstrate the significant benefits that the proposed replication engine brings to the three use cases. | - |
dc.language | English | - |
dc.publisher | VLDB Endowment | - |
dc.relation.isPartOf | 46th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. the VLDB Endowment (PVLDB) | - |
dc.relation.isPartOf | In 46th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. the VLDB Endowment (PVLDB) | - |
dc.title | Asymmetric-Partition Replication for Highly Scalable Distributed Transaction Processing in Practice | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 46th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. the VLDB Endowment (PVLDB), pp.2150 - 8097 | - |
dc.citation.conferenceDate | 2020-09-04 | - |
dc.citation.conferencePlace | JA | - |
dc.citation.conferencePlace | 일본 | - |
dc.citation.endPage | 8097 | - |
dc.citation.startPage | 2150 | - |
dc.citation.title | 46th Int'l Conf. on Very Large Data Bases (VLDB) / Proc. the VLDB Endowment (PVLDB) | - |
dc.contributor.affiliatedAuthor | HAN, WOOK SHIN | - |
dc.contributor.affiliatedAuthor | KO, SEONGYUN | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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