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» On Parallel Execution of Multiple Pipelined Hash Joins
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SIGMOD
1994
ACM
91views Database» more  SIGMOD 1994»
13 years 8 months ago
On Parallel Execution of Multiple Pipelined Hash Joins
Hui-I Hsiao, Ming-Syan Chen, Philip S. Yu
VLDB
1992
ACM
111views Database» more  VLDB 1992»
13 years 8 months ago
Using Segmented Right-Deep Trees for the Execution of Pipelined Hash Joins
In this paper, we explore the execution of pipelined hash joins in a multiprocessor-based database system. To improve the query execution, an innovative approach on query executio...
Ming-Syan Chen, Ming-Ling Lo, Philip S. Yu, Honest...
ICDE
2008
IEEE
120views Database» more  ICDE 2008»
14 years 5 months ago
Sideways Information Passing for Push-Style Query Processing
In many modern data management settings, data is queried from a central node or nodes, but is stored at remote sources. In such a setting it is common to perform "pushstyle&qu...
Zachary G. Ives, Nicholas E. Taylor
VLDB
1998
ACM
121views Database» more  VLDB 1998»
13 years 8 months ago
Hash Joins and Hash Teams in Microsoft SQL Server
The query execution engine in Microsoft SQL Server employs hash-based algorithms for inner and outer joins, semi-joins, set operations (such as intersection), grouping, and duplic...
Goetz Graefe, Ross Bunker, Shaun Cooper
DEBS
2003
ACM
13 years 9 months ago
MJoin: a metadata-aware stream join operator
Join algorithms must be re-designed when processing stream data instead of persistently stored data. Data streams are potentially infinite and the query result is expected to be ...
Luping Ding, Elke A. Rundensteiner, George T. Hein...