wtuyss 发表于 2018-10-22 11:06:15

SQL自动调优

  SQL自动调优,是oracle 自带的调优工具,可以提出一些解决方案。
  本次我主要介绍下面这些自动SQL调优工具:

[*]  自动SQL调优(automatic sql tuning)
[*]  SQL调优工具集(SQL tuning sets,STS)
[*]  SQL调优顾问(SQL Tuning Advisor)
[*]  自动数据库诊断监视器(addm)
  显示SQL自动调优建议最快的方法:
  SQL> select dbms_auto_sqltune.report_auto_tuning_task from dual;
  GENERAL INFORMATION SECTION
  -------------------------------------------------------------------------------
  Tuning Task Name                        : SYS_AUTO_SQL_TUNING_TASK
  Tuning Task Owner                     : SYS
  Workload Type                           : Automatic High-Load SQL Workload
  Execution Count                         : 2
  Current Execution                     : EXEC_41
  Execution Type                        : TUNE SQL
  Scope                                 : COMPREHENSIVE
  Global Time Limit(seconds)            : 3600
  Per-SQL Time Limit(seconds)             : 1200
  Completion Status                     : COMPLETED
  Started at                              : 09/13/2015 23:19:10
  Completed at                            : 09/13/2015 23:20:50
  Number of Candidate SQLs                : 2
  Cumulative Elapsed Time of SQL (s)      : 56
  -------------------------------------------------------------------------------
  SUMMARY SECTION
  -------------------------------------------------------------------------------
  Global SQL Tuning Result Statistics
  -------------------------------------------------------------------------------
  Number of SQLs Analyzed                      : 2
  Number of SQLs in the Report               : 2
  Number of SQLs with Findings               : 2
  Number of SQLs with Statistic Findings       : 2

  Number of SQLs with>  Number of SQLs with SQL profiles recommended : 2
  -------------------------------------------------------------------------------

  SQLs with Findings Ordered by Maximum (Profile/Index) Benefit, Object>  -------------------------------------------------------------------------------

  object>  ---------- ------------- ---------- ---------------- -------------- -----------
  3 5jvf84zg4c49n          2         94.73%
  4 fa16465c7pqmd          1         93.52%
  -------------------------------------------------------------------------------
  Objects with Missing/Stale Statistics (ordered by schema, object, type)
  -------------------------------------------------------------------------------
  Schema Name                  Object Name                  TypeState   Cascade
  ---------------------------- ---------------------------- ----- ------- -------
  SYS IND$                         TABLE STALE   NO
  USER$                        TABLE STALE   NO
  -------------------------------------------------------------------------------
  DETAILS SECTION
  -------------------------------------------------------------------------------

  Statements with Results Ordered by Maximum (Profile/Index) Benefit, Object>  -------------------------------------------------------------------------------

  Object>  Schema Name: SYS

  SQL>  SQL Text   : select s.synonym_name as object_name, o.object_type
  from sys.all_synonyms s, sys.all_objects o
  where s.owner in ('PUBLIC', :schema)
  and o.owner = s.table_owner
  and o.object_name = s.table_name
  and o.object_type in ('TABLE', 'VIEW', 'PACKAGE','TYPE',
  'PROCEDURE', 'FUNCTION', 'SEQUENCE')
  -------------------------------------------------------------------------------
  FINDINGS SECTION (3 findings)
  -------------------------------------------------------------------------------
  1- Statistics Finding
  ---------------------
  Optimizer statistics for table "SYS"."IND$" and its indices are stale.
  Recommendation
  --------------
  - Consider collecting optimizer statistics for this table.
  execute dbms_stats.gather_table_stats(ownname => 'SYS', tabname =>
  'IND$', estimate_percent => DBMS_STATS.AUTO_SAMPLE_SIZE,

  method_opt => 'FOR ALL COLUMNS>  Rationale
  ---------
  The optimizer requires up-to-date statistics for the table in order to
  select a good execution plan.
  2- Statistics Finding
  ---------------------
  Optimizer statistics for table "SYS"."USER$" and its indices are stale.
  Recommendation
  --------------
  - Consider collecting optimizer statistics for this table.
  execute dbms_stats.gather_table_stats(ownname => 'SYS', tabname =>
  'USER$', estimate_percent => DBMS_STATS.AUTO_SAMPLE_SIZE,

  method_opt => 'FOR ALL COLUMNS>  Rationale
  ---------
  The optimizer requires up-to-date statistics for the table in order to
  select a good execution plan.
  3- SQL Profile Finding (see explain plans section below)
  --------------------------------------------------------
  A potentially better execution plan was found for this statement.
  The SQL profile was not automatically created because its benefit could not
  be verified.
  Recommendation (estimated benefit: 94.73%)
  ------------------------------------------
  - Consider accepting the recommended SQL profile.
  execute dbms_sqltune.accept_sql_profile(task_name =>
  'SYS_AUTO_SQL_TUNING_TASK', object_id => 3, replace => TRUE);
  -------------------------------------------------------------------------------
  EXPLAIN PLANS SECTION
  -------------------------------------------------------------------------------
  1- Original With Adjusted Cost
  ------------------------------
  -------------------------------------------------------------------------------
  Error: cannot fetch explain plan for object: 3
  -------------------------------------------------------------------------------
  2- Original With Adjusted Cost
  ------------------------------
  Plan hash value: 1687783800
  --------------------------------------------------------------------------------
  ---------------------------------------------

  |>  ws| Bytes |TempSpc| Cost (%CPU)| Time   |
  --------------------------------------------------------------------------------
  ---------------------------------------------
  |   0 | SELECT STATEMENT                               |                  |
  4 |   464 |       |4999   (1)| 00:01:00 |
  |*1 |TABLE ACCESS BY INDEX ROWID                   | SUM$               |
  1 |   6 |       |   0   (0)| 00:00:01 |
  |*2 |   INDEX UNIQUE SCAN                            | I_SUM$_1         |
  1 |       |       |   0   (0)| 00:00:01 |
  |*3 |HASH JOIN                                     |                  |
  4 |   464 |       |4999   (1)| 00:01:00 |
  |   4 |   JOIN FILTER CREATE                           | :BF0000            |3

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