Query and index modeling in 10g

Hi

We are trying to do a Query and index modeling exercise by attempting to MAP/CLASSIFY a majority of our Product's SQL Queries to some corresponding baseline / Standard set of SQL Queries for SMALL, MEDIUM, BIG & Very BIG Tables using different Types of Indexes, as mentioned below:-

Our Product is a Hybrid Banking Application.

Currently mapping has been done TO baseline / Standard Queries which use a Single Table only:-

• Baseline / Standard SQLs containing SELECT, UPDATE, DELETE of the following types have been mapped:-
  • Point (returns 1 row)
  • Multipoint (returns more than 1 row)
  • Range scan (where Clause has a range specification)
  • Prefix and suffix
  • Conjunctive point (where Clause using all the key fields of the unique index, up to 3 fields)
  • Extremal
• INSERT
• Additionally
  • Update using ROWID
  • Select using ROWNUM

Types of Indexes Used:-

• Normal index
  • Index organized table
  • B+ tree cluster
  • Hash cluster

Qs 1 Is our approach, of Mapping/Classifying, itself appropriate or NOT?

Qs. 2 How do we extend the approach to define "the standard SQLs set" involving a JOIN between multiple Tables (i.e. 2, 3 Tables)

Qs. 3 How do we extend this to Sub-queries, In-line queries etc.?

Qs. 4 Any Docs, Links, Books on similar work done before?

Thanks indeed

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