Download presentation

Presentation is loading. Please wait.

Published byDominique Waldie Modified over 3 years ago

1
DOLAP'04 - Washington DC1 Constructing Search Space for Materialized View Selection Dimiti Theodoratos Wugang Xu New Jersey Institute of Technology

2
DOLAP'04 - Washington DC2 Problem (1) Many problems in Databases require the selection of views to materialize. A general form of these problems is the following: –Given a set of queries, select a set of views to materialize such that a cost function is optimized and a number of constraints is satisfied.

3
DOLAP'04 - Washington DC3 Problem (2) Examples of view selection problems in DWing. –Given a set of queries to be satisfied by the DW, select a set of views to materialize such that the combination of the query evaluation and view maintenance cost is minimized and the size of the materialized views does not exceed the space allocated for materialization. –Find the best global evaluation plan for multiple incremental maintenance expressions for materialized views.

4
DOLAP'04 - Washington DC4 Problem (3) Solving view selection problems requires the identification of common sub-expressions between queries. Usually, this is done by identifying equivalent (or subsumed) view nodes in query evaluation plans of two queries in a bottom-up way. However, for this approach to be successful, all the alternative query evaluation plans of the queries need to be considered – an unfeasible task.

5
DOLAP'04 - Washington DC5 Example - Query Evaluation Plans and common subexpressions

6
DOLAP'04 - Washington DC6 Example - Query Evaluation Plans and common subexpressions

7
DOLAP'04 - Washington DC7 Example - Query Evaluation Plans and common subexpressions

8
DOLAP'04 - Washington DC8 Example - Query Evaluation Plans and common subexpressions

9
DOLAP'04 - Washington DC9 Example - Query Evaluation Plans and common subexpressions

10
DOLAP'04 - Washington DC10 Our approach

11
DOLAP'04 - Washington DC11 Goals Formalize the concept of ‘closeness’ of a common subexpression to two queries. Design algorithms for computing common sub- expressions that are as close to the queries as possible (these common subexpressions are called Closest Common Derivators). We address these problems starting with SPJ queries that involve self-joins.

12
DOLAP'04 - Washington DC12 Example Q1 Select R1.A, R2.B, R3.C From U, R as R1, R as R2, R as R3, S as S1 Where U.A=R1.A and R1.B =4 and R3.A =3 Q2 Select R4.C, R5.A, S3.C From S as s2, R as R4, R as R5, S as S3, T Where S2.C =5 and R5.A =3

13
DOLAP'04 - Washington DC13 Query Graph Representation

14
DOLAP'04 - Washington DC14 Query rewritings A rewriting Q’ of a query Q using view V is a query that references V and possibly base relations such that replacing V by its definition results in a query equivalent to Q. Notation: Q |-- V. If there is a rewriting of Q that references only V (no base relations), we call it complete rewriting. Notation: Q ||-- V. Otherwise, we call it a partial rewriting. A rewriting Q’ of query Q using a view V is called simple rewriting if view V has a single occurrence in Q’. A rewriting Q’ of a query Q using a view V is minimal if for every relation R that has n, n>0, occurrences in Q, R has k, 0 ≤ k≤ n, occurrences in V and n- k occurrences in Q’. Notation: Q |-- m V.

15
DOLAP'04 - Washington DC15 Common Derivator (CD) of two queries Let Q1 and Q2 be two queries and R1, R2 be two sets of relation occurrences from Q1 and Q2, respectively, that have the same number of relation occurrences of each relation. A common derivator (CD) of Q1 and Q2 over the respective sets R1 and R2 is a view V such that there is a minimal rewriting of Q1 (resp. Q2) using V that involves V and only those relation occurrences of Q1 (resp. Q2) that do not appear in R1 (resp. R2.)

16
DOLAP'04 - Washington DC16 Example - Common Derivator

17
DOLAP'04 - Washington DC17 Example - Common Derivator

18
DOLAP'04 - Washington DC18 Closeness relationship between CDs Let Q1, Q2 be two queries, V= X ( C (R)) is a CD of Q1 and Q2 over R1 and R2, V’= X ( C’ (R’)) be a CD of Q1 and Q2 over R1’ and R2’, and R1 R1’ and R2 R2’. CD V’ is closer to Q1 and Q2 than CD V if the following conditions are satisfied (a) V’ |-- V (b) if C’ (R’) ||-- C (R) then V ||─V’

19
DOLAP'04 - Washington DC19 Example – Closeness relationship V2 is closer to Q1 and Q2 than V1

20
DOLAP'04 - Washington DC20 Example – Closeness relationship V3 is closer to Q1 and Q2 than V2

21
21 Example – Closeness relationship V4 is closer to Q1 and Q2 than V3

22
DOLAP'04 - Washington DC22 Closest Common Derivator (CCD) Let Q1 and Q2 be two queries. A Closest Common Derivator (CCD) of Q1 and Q2 over R1 and R2 is a CD V of Q1 and Q2 over R1 and R2 such that there exists no CD of Q1 and Q2 that is closer to Q1 and Q2 than V.

23
DOLAP'04 - Washington DC23 Example

24
DOLAP'04 - Washington DC24 How to compute a CCD Query graph in Full Form Condition merging Candidate CCDs Comparison of Candidate CCDs over the same occurrence set

25
DOLAP'04 - Washington DC25 Full Form Condition and Query A condition C is in full form if: 1.For every atomic condition A i such that C |= A i, there is an atomic condition A j in C such that A j |= A i (|= denotes logical implication) 2.Condition C does not include strongly redundant atomic conditions. A query X ( C (R) is in full form if its condition C is in full from.

26
DOLAP'04 - Washington DC26 Example—Query graph Full Form

27
DOLAP'04 - Washington DC27 Example—Query graph full form

28
DOLAP'04 - Washington DC28 Condition Merging Two conditions C1 and C2 are mergeable if there is a non-valid condition C such that C1|=C and C2|=C and there exists no condition C', C'≡C, such that C1|=C', C2 |= C' and C’|= C. Condition C is called a merge of C1 and C2. We show how the merge of two conditions can be computed.

29
DOLAP'04 - Washington DC29 CCD Computation We introduce the concept of a candidate CCD: a graph representation of a CCD resulting by ‘merging’ common subparts of two query graphs. We show that a CCD of two queries is a candidate CCD. We express the CCD closeness relationship on candidate CCDs.

30
DOLAP'04 - Washington DC30 CCD Computation (2) In order to compute all the CCDs of two queries: We compute all the candidate CCDs of two query graphs in full form. We discard a candidate CCD V if there is another CCD V’ that is closer to the queries than V.

31
DOLAP'04 - Washington DC31 Future work Extend the concept of a CCD so that it applies to a more general class of queries. Use the concept of a CCD to identify common sub-expressions within one query Use the concept of a CCD to design algorithms for different materialized view selection problems.

32
DOLAP'04 - Washington DC32 Thanks

Similar presentations

OK

D ATABASE S YSTEMS I R ELATIONAL A LGEBRA. 22 R ELATIONAL Q UERY L ANGUAGES Query languages (QL): Allow manipulation and retrieval of data from a database.

D ATABASE S YSTEMS I R ELATIONAL A LGEBRA. 22 R ELATIONAL Q UERY L ANGUAGES Query languages (QL): Allow manipulation and retrieval of data from a database.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To ensure the functioning of the site, we use **cookies**. We share information about your activities on the site with our partners and Google partners: social networks and companies engaged in advertising and web analytics. For more information, see the Privacy Policy and Google Privacy & Terms.
Your consent to our cookies if you continue to use this website.

Ads by Google

Ppt on viruses and bacteria youtube Ppt on electric meter testing software Ppt on balanced diet and nutrition Ppt on history of computer generations Ppt on conceptual art photography Ppt on mac os x lion Ppt on creativity and innovation management journal Ppt on audible and inaudible sound Free ppt on personality development presentation Ppt on p&g products images