Travelled to:
1 × Canada
1 × Chile
1 × France
1 × Ireland
1 × Japan
1 × United Kingdom
8 × USA
Collaborated with:
∅ H.A.Kuno D.L.Davison D.J.DeWitt M.J.Zwilling P.Larson R.L.Cole R.H.Wolniewicz K.Ward S.Idreos S.Manegold J.Tucek M.Lillibridge A.C.Veitch C.Cunningham C.A.Galindo-Legaria U.M.Fayyad S.Chaudhuri R.Bunker S.Cooper J.A.Blakeley W.J.McKenna T.Keller D.Maier F.Halim D.Tsirogiannis S.Harizopoulos M.A.Shah J.L.Wiener R.H.Gerber M.L.Heytens K.B.Kumar M.Muralikrishna H.Volos H.Kimura
Talks about:
queri (6) optim (6) databas (4) memori (4) join (4) hash (4) index (3) dynam (3) merg (3) sql (3)
Person: Goetz Graefe
DBLP: Graefe:Goetz
Contributed to:
Wrote 23 papers:
- VLDB-2015-GraefeVKKTLV14 #big data #in memory #performance
- In-Memory Performance for Big Data (GG, HV, HK, HAK, JT, ML, ACV), pp. 37–48.
- SIGMOD-2013-GraefeLKTV
- Controlled lock violation (GG, ML, HAK, JT, ACV), pp. 85–96.
- VLDB-2012-GraefeHIKM #adaptation #concurrent
- Concurrency Control for Adaptive Indexing (GG, FH, SI, HAK, SM), pp. 656–667.
- VLDB-2012-GraefeK #database #detection
- Definition, Detection, and Recovery of Single-Page Failures, a Fourth Class of Database Failures (GG, HAK), pp. 646–655.
- VLDB-2011-IdreosMKG #adaptation #in memory #what
- Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores (SI, SM, HAK, GG), pp. 585–597.
- SIGMOD-2009-TsirogiannisHSWG #query
- Query processing techniques for solid state drives (DT, SH, MAS, JLW, GG), pp. 59–72.
- SIGMOD-2004-GraefeZ #transaction
- Transaction support for indexed views (GG, MJZ).
- VLDB-2004-CunninghamGG #execution #optimisation
- PIVOT and UNPIVOT: Optimization and Execution Strategies in an RDBMS (CC, GG, CAGL), pp. 998–1009.
- VLDB-2004-Graefe
- Write-Optimized B-Trees (GG), pp. 672–683.
- VLDB-1999-Graefe #sql
- The Value of Merge-Join and Hash-Join in SQL Server (GG), pp. 250–253.
- KDD-1998-GraefeFC #classification #database #on the #performance #scalability #sql #statistics
- On the Efficient Gathering of Sufficient Statistics for Classification from Large SQL Databases (GG, UMF, SC), pp. 204–208.
- SIGMOD-1998-LarsonG #generative #memory management #sorting
- Memory Management During Run Generation in External Sorting (PÅL, GG), pp. 472–483.
- VLDB-1998-GraefeBC #sql
- Hash Joins and Hash Teams in Microsoft SQL Server (GG, RB, SC), pp. 86–97.
- SIGMOD-1995-DavisonG #execution #multi #query
- Dynamic Resource Brokering for Multi-User Query Execution (DLD, GG), pp. 281–292.
- SIGMOD-1994-ColeG #evaluation #optimisation #query
- Optimization of Dynamic Query Evaluation Plans (RLC, GG), pp. 150–160.
- VLDB-1994-DavisonG
- Memory-Contention Responsive Hash Joins (DLD, GG), pp. 379–390.
- SIGMOD-1993-BlakeleyMG #case study #experience #query
- Experiences Building the Open OODB Query Optimizer (JAB, WJM, GG), pp. 287–296.
- VLDB-1993-WolniewiczG #algebra #database #optimisation
- Algebraic Optimization of Computations over Scientific Databases (RHW, GG), pp. 13–24.
- SIGMOD-1991-KellerGM #assembly #performance
- Efficient Assembly of Complex Objects (TK, GG, DM), pp. 148–157.
- SIGMOD-1990-Graefe #encapsulation #parallel #query
- Encapsulation of Parallelism in the Volcano Query Processing System (GG), pp. 102–111.
- SIGMOD-1989-GraefeW #evaluation #query
- Dynamic Query Evaluation Plans (GG, KW), pp. 358–366.
- SIGMOD-1987-GraefeD #generative
- The EXODUS Optimizer Generator (GG, DJD), pp. 160–172.
- VLDB-1986-DeWittGGHKM #data flow #database #named #performance
- GAMMA — A High Performance Dataflow Database Machine (DJD, RHG, GG, MLH, KBK, MM), pp. 228–237.