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Database Performance: Outline Here is an outline of our two-lecture course First, we explain why OLTP performance is no longer thought to be an important problem by most researchers and developers But we’ll introduce a new popular Transactional product called Snapshot Isolation that supports updates & concurrent queries Then we look at queries, especially Data Warehouse queries, which get the most performance attention currently We explain early query performance concepts, e.g. index Filter Factor, then look at cubical clustering, the new crucial factor Data Warehousing is where most new purchases are made at present, and we examine the area in detail 2
DB Performance: OLTP Jim Gray said years ago: OLTP is a solved problem Older established companies that do OLTP Order Entry have solutions in place, efficient enough not to need change One reason is that change is very difficult: rewriting a company’s OLTP programs is called the “Dusty Decks” problem Nobody remembers how all the code works! Also, the cost of hardware to support update transactions compared to programming costs, or even terminal costs, is low We explain this in the <strong>slides</strong> immediately following But some new installations use new transactional approaches that better support queries, such as Snapshot Isolation We explain Snapshot Isolation a bit later (starting on Slide 7) 3
Page 1: EDBT Summer School Database Perform
Page 5 and 6: OLTP DebitCredit Benchmark D
Page 7 and 8: DB Performance: OLTP & Queries
Page 9 and 10: DB Performance: Snapshot Isolation
Page 15 and 16: DB Performance: Queries Companies
Page 17 and 18: DB Performance: Set Query Benchmark
Page 19 and 20: DB Performance: Set Query Benchmark
Page 21 and 22: Set Query Benchmark KNK index examp
Page 23 and 24: DB Performance: Set Query Compariso
Page 25 and 26: Disk Performance Our “disktes
Page 27 and 28: Sequential Scan Performance E
Page 29 and 30: DB Performance:Outline of What Foll
Page 31 and 32: Multi-Dimensional Clustering Cluste
Page 33 and 34: DB Performance: Multi-Dim Clusterin
Page 35 and 36: DB Performance: Star Schema (SS)
Page 37 and 38: DB Performance: Data Warehousing D
Page 39 and 40: DB Performance: Multi-Dim Clusterin
Page 41 and 42: ADC: Outline of What Follows ADC w
Page 44 and 45: Considerations and Futures of ADC
Page 46 and 47: Using ADC With Oracle Oracle has a
Page 48 and 49: Star Schema Benchmark (SSB) Recall
Page 50 and 51: SSB is Derived From TPC-H Benchmark
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Why Changes to TPC-H Make Sense To
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Star Schema Benchmark Queries Succ
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SSB Test Specifications We measure
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DB Products A, B & C Times in Secon
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Analysis of SSB and Conclusions Que
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Analysis and Conclusions Reader
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Bibliography P.G. Selinger et al.,
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