Oracle's OPT_ESTIMATE hint: Usage Guide
It's one of those hints that you've heard about many times, but all the information is scattered, and finding what you need is really hard. Many (including myself) have expressed the deepest desire to see it documented, but that never happened. I've just troubleshot a problem and used this hint a lot during my "what if" scenario testing, and found this hint to be quite useful. Thus, I decided to document it here on the blog. I will come back and update this blog as I discover new parameters, and feel free to suggest what you've found in the comments. If you can, include an example to illustrate usage. Note that this usage guide is not official, and is built upon by my best understanding on how this hint operates. OPT_ESTIMATE
PurposeTo influence costing and cardinality estimates by the optimizer in the hope that a better execution path is selected. This hint supersedes the "CARDINALITY" hint.
UsageParameters separate by space (optionally by comma). "" means that "query block" is optional.
/*+ OPT_ESTIMATE( [query block] operation_type identifier adjustment ) */
query blockoptional and in the format "@QB_NAME". For example, in the lack of any QB_NAME hints, you could say: OPT_ESTIMATE(@SEL$1 TABLE....)
operation_typeQUERY_BLOCK unknown TABLE refers to table Example: [code]select /*+OPT_ESTIMATE(TABLE DD ROWS=10)*/ count(*) from dual DD [/code] INDEX_FILTER adjusts index filtering - number of rows produced by the index lookup, does not affect the cost to scan the index Example INDEX_FILTER - changes output rows ONLY: [code]select /*+ OPT_ESTIMATE(INDEX_FILTER C CKK$ID ROWS=1234) */* from ckk c where id > 9000000 [/code] INDEX_SCAN / INDEX_SKIP_SCAN For index range or skip scans - how many rows will be scanned in the index - affects the COST of the index access and the number of rows outputted Example INDEX_SCAN - changes COST and ROWS: [code]select /*+ OPT_ESTIMATE(INDEX_SCAN C CKK$ID ROWS=1234) */* from ckk c where id > 9000000 [/code] JOIN the join result of 2 tables - oracle joins 2 tables at a time. Note that you can adjust join cardinalities between 2 tables in order to make that join not to be used. Example: [code]select /*+ OPT_ESTIMATE(JOIN (C S) ROWS=123456) */* from ckk c join small s on (s.id = c.id) [/code]
identifierqry_block is always optional TABLES: tab_alias@qry_block INDEX: tab_alias@qry_block index_name JOINS: JOIN(tab1_alias@qry_block tab2_alias@qry_block)
adjustmentROWS=number SCALE_ROWS=number - multiplier to be used. For example 0.1 is 10 times less rows than originally estimated MIN=minimum number of rows from step - very useful to prevent 'insane' plans MAX=maximum number of rows from step