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CHAPTER 9 QUERY TRANSFORMATION
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tablescan across all the partitions. (The cost of scanning and hashing the dimension tables and the cost of the in-memory probes are likely to be negligible by comparison.) The other strategy is to recognize that there are three bitmap indexes that could allow us to create a very efficient access path to the very small number of rows (just 53 in the example) that we want from the fact1 table, following which we can join the three dimension tables back very efficiently to pick up any relevant dimension details that we needed. In effect, the optimizer does the following rewrite on our query, with the extraordinary feature that it uses each dimension table twice: select dim23.vc_23, dim31.vc_31, dim53.vc_53, v1.small_vc from dim_23, dim_31, dim_53, ( select mod_23, mod_31, mod_53, small_vc from fact1 where and and ) where and and ; dim_23.id_23 = v1.mod_23 dim_31.id_31 = v1.mod_31 dim_53.id_53 = v1.mod_53 fact1.mod_23 in (select id_23 from dim_23 where dim_23.rep_23 = 10) fact1.mod_23 in (select id_31 from dim_31 where dim_31.rep_31 = 10) fact1.mod_53 in (select id_53 from dim_53 where dim_53.rep_53 = 10) v1
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So we should see one part of the execution plan doing a bitmap and of the three bitmap indexes on the main fact table, and three subsequent joins (possibly nested loop, merge, or hash joins) to add back the extra columns from the dimension tables. Sure enough, one of the possible plans for this query (when the parameter star_transformation_enabled is set to temp_disable) is as follows: Execution Plan (autotrace 10.1.0.4) ---------------------------------------------------------SELECT STATEMENT Optimizer=ALL_ROWS (Cost=256 Card=11) HASH JOIN (Cost=256 Card=11) HASH JOIN (Cost=230 Card=13) HASH JOIN (Cost=174 Card=34) TABLE ACCESS (FULL) OF 'DIM_31' (TABLE) (Cost=33 Card=20) PARTITION RANGE (ALL) (Cost=139 Card=53)
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CHAPTER 9 QUERY TRANSFORMATION
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TABLE ACCESS (BY LOCAL INDEX ROWID) OF 'FACT1' (TABLE) (Cost=139 Card=53) BITMAP CONVERSION (TO ROWIDS) BITMAP AND BITMAP MERGE BITMAP KEY ITERATION BUFFER (SORT) TABLE ACCESS (FULL) OF 'DIM_53' (TABLE) (Cost=55 Card=20) BITMAP INDEX (RANGE SCAN) OF 'FACT1_53' (INDEX (BITMAP)) BITMAP MERGE BITMAP KEY ITERATION BUFFER (SORT) TABLE ACCESS (FULL) OF 'DIM_23' (TABLE) (Cost=25 Card=20) BITMAP INDEX (RANGE SCAN) OF 'FACT1_23' (INDEX (BITMAP)) BITMAP MERGE BITMAP KEY ITERATION BUFFER (SORT) TABLE ACCESS (FULL) OF 'DIM_31' (TABLE) (Cost=33 Card=20) BITMAP INDEX (RANGE SCAN) OF 'FACT1_31' (INDEX (BITMAP)) TABLE ACCESS (FULL) OF 'DIM_53' (TABLE) (Cost=55 Card=20) TABLE ACCESS (FULL) OF 'DIM_23' (TABLE) (Cost=25 Card=20)
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** ** ** ** ** ** ** ** ** ** ** ** ** ** **
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(Note to fit the page width, I have eliminated the bytes=nnnnn entries from the cost details, leaving only the cost and cardinality.)
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THE STAR_TRANSFORMATION AND TEMPORARY TABLES
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The parameter star_transformation_enabled can take three values: false (the default), true, and temp_disable. When a dimension table exceeds 100 blocks, your session will create an in-memory global temporary table to hold the filtered dimension data if you simply enable star transformations by setting the parameter to true. This has been known to cause problems in the past, which is why the option to disable temporary tables also exists. The limit of 100 blocks is controlled by the hidden parameter _temp_tran_block_threshold, and the absolute value is independent of the block size of the tablespaces that your dimension tables are in. This is another reason to be cautious about moving objects to tablespaces of different block sizes. Change a dimension table from one block size to another, and you ve changed the number of blocks so the optimizer may change from using a global temporary table to using the base table (or vice versa) for no apparent reason, and the effect may not be beneficial.
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I have broken the plan down a little bit to make it easier to see critical operations. Note how the lines marked with the double-asterisk, **, are just three copies of the same structure the method of deciding how each dimension table identifies sections of the corresponding
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