Why is the query so slow?
HelloI have a fast running query (3 seconds).
If I try to run it on the test environment, it takes about 2 minutes (!)
I see in both environments explain plan is the same and therefore are used. I also tried to rebuild indexes and tables that looked quite fragmented in test, but the result is always the same. If our test environment is slower and with lower performance? What else could I check? (Oracle worms is 8.1.7)
Thank you!
812809 wrote:
steps to follow:
1. If candidate columns has index or not
Sometimes and index can cause a query slow down rather than speed upward, especially if a person has created too many indexes on a table and the optimizer not to find one that is suitable for use.
2. go to explain the plan and search for the query is not to fall into the category of the full Table Scan
Full scan of the table isn't always a bad thing. They are sometimes faster than using the index. It depends on.
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Here's my question correctly formatted.
The query:
Works on 32 seconds!SELECT count(1) from ehgeoconstru ec where ec.TYPE='BAR' AND ( ec.birthDate <= TO_DATE('2009-10-06 11:52:12', 'YYYY-MM-DD HH24:MI:SS') ) and deathdate is null and substr(ec.strgfd, 1, length('[CIMText')) <> '[CIMText'
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Here is the output of the PLAN to EXPLAIN for the first quick query:SQL> show parameter optimizer NAME TYPE VALUE ------------------------------------ ----------- ------------------------------ optimizer_dynamic_sampling integer 1 optimizer_features_enable string 9.2.0 optimizer_index_caching integer 99 optimizer_index_cost_adj integer 10 optimizer_max_permutations integer 2000 optimizer_mode string CHOOSE SQL>
Here is the output of the EXPLAIN of PLAN for slow queries:PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost | -------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | | | | | 1 | SORT AGGREGATE | | | | | |* 2 | TABLE ACCESS FULL | EHCONS | | | | -------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- 2 - filter(SUBSTR("EC"."strgfd",1,8)<>'[CIMText' AND "EC"."DEATHDATE" IS NULL AND "EC"."BIRTHDATE"<=TO_DATE('2009-10-06 11:52:12', 'yyyy -mm-dd hh24:mi:ss') AND "EC"."TYPE"='BAR') Note: rule based optimization
The TKPROF output for this slow statement is:PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- | | | 1 | SORT AGGREGATE | | | | | |* 2 | TABLE ACCESS BY INDEX ROWID| ehgeoconstru | | | | |* 3 | INDEX RANGE SCAN | ehgeoconstru_VSN | | | | PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 2 - filter(SUBSTR("EC"."strgfd",1,8)<>'[CIMText' AND "EC"."DEATHDATE" IS NULL AND "EC"."TYPE"='BAR') PLAN_TABLE_OUTPUT -------------------------------------------------------------------------------- 3 - access("EC"."CONTEXTVERSION"='REALWORLD' AND "EC"."BIRTHDATE"<=TO_DATE('2 009-10-06 11:52:12', 'yyyy-mm-dd hh24:mi:ss')) filter("EC"."BIRTHDATE"<=TO_DATE('2009-10-06 11:52:12', 'yyyy-mm-dd hh24: mi:ss')) Note: rule based optimization
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Published by: PauloSMO on November 17, 2009 07:07
Published by: PauloSMO on November 17, 2009 07:38 - title changed to be more correct.Although your optimizer_mode is choosing, it seems that there are no statistics collected on ehgeoconstru. The absence of estimated costs and estimated row counts of each of the stages of the plan and the "Note: optimization based on rules" at the end of these two plans would tend to confirm this.
Optimizer_mode choose means that if statistics are collected then it will use the CBO, but if no statistic is present in any of the tables in the query, the optimizer to rule will be used. The RBO tends to be happy in the best of the index case. I guess the index ehgeoconstru_VSN contextversion as the main column and also includes the date of birth.
You can either gather statistics on the table (if all other tables have statistics) using dbms_stats.gather_table_stats, or suggest the query to use a full scan instead of index. Another solution would be to apply a function or an operation against the contextversion to prevent the use of the index. something like this:
SELECT COUNT(*) FROM ehgeoconstru ec WHERE ec.type='BAR' and ec.contextVersion||'' = 'REALWORLD' ec.birthDate <= TO_DATE('2009-10-06 11:52:12', 'YYYY-MM-DD HH24:MI:SS') and deathdate is null and SUBSTR(ec.strgfd, 1, LENGTH('[CIMText')) <> '[CIMText'or maybe UPPER (ec.contextVersion) so that would not change the rows returned.
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Execution plan
----------------------------------------------------------
Hash value of plan: 2867537711
-------------------------------------------------------------------------------------------------------------
| ID | Operation | Name | Lines | Bytes | Cost (% CPU). Time |
-------------------------------------------------------------------------------------------------------------
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-------------------------------------------------------------------------------------------------------------
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Execution plan
----------------------------------------------------------
Hash value of plan: 3639776364
------------------------------------------------------------------------------------------------------
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------------------------------------------------------------------------------------------------------
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PL/sql Developer explain plan for the original query
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-----------
1
PL/sql Developer explain plan for change request
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How to adjust or rewrite lots of join not keys to multiple records on table table
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