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254 Query Processing and Optimization
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Oracle supports a large variety of processing techniques in its query processing engine Some of the more important ones are described here brie y
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2541 Execution Methods
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Data can be accessed through a variety of access methods: Full table scan The query processor scans the entire table by getting information about the blocks that make up the table from the extent map, and scanning those blocks Index scan The processor creates a start and/or stop key from conditions in the query and uses it to scan to a relevant part of the index If there are columns that need to be retrieved, that are not part of the index, the index
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Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
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III Object Based Databases and XML
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8 Object Oriented Databases
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The McGraw Hill Companies, 2001
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Query Processing and Optimization
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scan would be followed by a table access by index row-id If no start or stop key is available, the scan would be a full index scan Index fast full scan The processor scans the extents the same way as the table extent in a full table scan If the index contains all the columns that are needed in the index, and there are no good start/stop keys that would signi cantly reduce that portion of the index that would be scanned in a regular index scan, this method may be the fastest way to access the data This is because the fast full scan can take full advantage of multiblock disk I/O However, unlike a regular full scan, which traverses the index leaf blocks in order, a fast full scan does not guarantee that the output preserves the sort order of the index Index join If a query needs only a small subset of the columns of a wide table, but no single index contains all those columns, the processor can use an index join to generate the relevant information without accessing the table, by joining several indices that together contain the needed columns It performs the joins as hash joins on the row-ids from the different indices Cluster and hash cluster access The processor accesses the data by using the cluster key Oracle has several ways to combine information from multiple indices in a single access path This ability allows multiple where-clause conditions to be used together to compute the result set as ef ciently as possible The functionality includes the ability to perform Boolean operations and, or, and minus on bitmaps representing row-ids There are also operators that map a list of row-ids into bitmaps and vice versa, which allows regular B-tree indices and bitmap indices to be used together in the same access path In addition, for many queries involving count(*) on selections on a table, the result can be computed by just counting the bits that are set in the bitmap generated by applying the where clause conditions, without accessing the table Oracle supports several types of joins in the execution engine: inner joins, outer joins, semijoins, and antijoins (An antijoin in Oracle returns rows from the left-hand side input that do not match any row in the right-hand side input; this operation is called anti-semijoin in other literature) It evaluates each type of join by one of three methods: hash join, sort merge join, or nested-loop join
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2542 Optimization
In 14, we discussed the general topic of query optimization Here, we discuss optimization in the context of Oracle
25421 Query Transformations
Oracle does query optimization in several stages Most of the techniques relating to query transformations and rewrites take place before access path selection, but Oracle also supports several types of cost-based query transformations that generate a complete plan and return a cost estimate for both a standard version of the query and
Silberschatz Korth Sudarshan: Database System Concepts, Fourth Edition
III Object Based Databases and XML
8 Object Oriented Databases
The McGraw Hill Companies, 2001
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