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» An optimization framework for map-reduce queries
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149
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SIGIR
2010
ACM
14 years 7 months ago
The 8th workshop on large-scale distributed systems for information retrieval (LSDS-IR'10)
The size of the Web as well as user bases of search systems continue to grow exponentially. Consequently, providing subsecond query response times and high query throughput become...
Roi Blanco, Berkant Barla Cambazoglu, Claudio Lucc...
CIKM
2009
Springer
15 years 7 months ago
SPIDER: a system for scalable, parallel / distributed evaluation of large-scale RDF data
RDF is a data model for representing labeled directed graphs, and it is used as an important building block of semantic web. Due to its flexibility and applicability, RDF has bee...
Hyunsik Choi, Jihoon Son, YongHyun Cho, Min Kyoung...
ICDE
2010
IEEE
172views Database» more  ICDE 2010»
15 years 7 months ago
Rule profiling for query optimizers and their implications
—Many modern optimizers use a transformation rule based framework. While there has been a lot of work on identifying new transformation rules, there has been little work focused ...
Surajit Chaudhuri, Leo Giakoumakis, Vivek R. Naras...
95
Voted
SIGMOD
2004
ACM
163views Database» more  SIGMOD 2004»
16 years 16 days ago
Rank-aware Query Optimization
Ranking is an important property that needs to be fully supported by current relational query engines. Recently, several rank-join query operators have been proposed based on rank...
Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey ...
185
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ICDE
2009
IEEE
101views Database» more  ICDE 2009»
16 years 2 months ago
Power Hints for Query Optimization
Commercial database systems expose query hints to address situations in which the optimizer chooses a poor plan for a given query. However, current query hints are not flexible eno...
Nicolas Bruno, Surajit Chaudhuri, Ravishankar Rama...