Explain and autotrace gave different plans

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  PHP has a powerful set of date and time functions.

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  I am running Ubuntu 14.04 64 bit with Firefox version 38 for Ubuntu
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  TO
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  Code:

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  and
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  I changed this back to Firefox and the problem was solved.

• approach two similar but very different plan?

  I have two similar sql one I 100 ID sample counting from the max (id) of a table. and then I'll copy and paste that in (...) clause

  And the other is I would use an inline clause. They have very different plan and a single traumatic passage slower. You guys can help explain why?

  Quick version:

  SELECT DATA_FILE_EVENT. EVENT_DETAIL,

  DATA_FILE_EVENT. TOTAL_ITEMS,

  DATA_FILE_EVENT_LIST. DATA_FILE_LOG_ID,

  DATA_FILE_EVENT_LIST. ERROR_LIST,

  DATA_FILE_EVENT_LIST. WARNING_LIST,

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  EVENT. EVENT_CODE,

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  OF (YMS. DATA_FILE_EVENT DATA_FILE_EVENT

  JOIN IN-HOUSE

  YMS. EVENT EVENT

  ON (DATA_FILE_EVENT. EVENT_CODE = EVENT. EVENT_CODE))

  RIGHT OUTER JOIN

  YMS. DATA_FILE_EVENT_LIST DATA_FILE_EVENT_LIST

  ON (DATA_FILE_EVENT_LIST. DATA_FILE_LOG_ID =

  DATA_FILE_EVENT. DATA_FILE_LOG_ID)

  en)

  45960479,

  45960480,

  45960481,

  45960482,

  45960483,

  45960484,

  45960485,

  45960486,

  45960487,

  45960488

  )

  
  

  
  

  slow version:

  
  

  SELECT DATA_FILE_EVENT. EVENT_DETAIL,

  DATA_FILE_EVENT. TOTAL_ITEMS,

  DATA_FILE_EVENT_LIST. DATA_FILE_LOG_ID,

  DATA_FILE_EVENT_LIST. ERROR_LIST,

  DATA_FILE_EVENT_LIST. WARNING_LIST,

  DATA_FILE_EVENT_LIST. LOADING_DISPOSITION,

  EVENT. EVENT_CODE,

  EVENT. DESCRIPTION

  OF (YMS. DATA_FILE_EVENT DATA_FILE_EVENT

  JOIN IN-HOUSE

  YMS. EVENT EVENT

  ON (DATA_FILE_EVENT. EVENT_CODE = EVENT. EVENT_CODE))

  RIGHT OUTER JOIN

  YMS. DATA_FILE_EVENT_LIST DATA_FILE_EVENT_LIST

  ON (DATA_FILE_EVENT_LIST. DATA_FILE_LOG_ID =

  DATA_FILE_EVENT. DATA_FILE_LOG_ID)

  where data_file_event.data_file_log_id-= 44793729

  en)

  Select

  rownum + x1.upx sample_log_id

  Of

  (

  Select upx-100 max (data_file_log_id) of data_file_log

  ) x 1

  connect by level < = 10

  )

  
  

  
  

  I joined the plan explan in jpeg I am using Toad.

  Thank you.
  

  Performance differ, due to the change of plan...!

  In a bad series,

  FTS (step 11 - hash for two tables join) happens with Nestep loops (step 12).

  I have e for each record of the return of major steps...

  estimation of cardinaliy steps is only 1...

  Where oracle observe as main steps returns records only 1, hash join operation will be done only once.

  but this is not the case...

  observe the same behavior for under sql also...

  select rownum from dual connect by rownum < 1000;
  select level from dual connect by level < 1000;
  
  -----------------------------------------------------------------------------
  | Id  | Operation                    | Name | Rows  | Cost (%CPU)| Time    |
  -----------------------------------------------------------------------------
  |  0 | SELECT STATEMENT            |      |      |    2 (100)|          |
  |  1 |  CONNECT BY WITHOUT FILTERING|      |      |            |          |
  |  2 |  FAST DUAL                  |      |    1 |    2  (0)| 00:00:01 |
  -----------------------------------------------------------------------------
  

  Although the back lines are 999 but cardinality is 1.

  No provision of cardinality for only connect by clause...!

  Similar SQL as yours...

  select  rownum + max_c sample_log_id
                              From
                              (Select Max(Empno) Max_C From Emp)
                              connect by level <=10;
  ----------------------------------------------------------------------------------------
  | Id  | Operation                    | Name  | Rows  | Bytes | Cost (%CPU)| Time    |
  ----------------------------------------------------------------------------------------
  |  0 | SELECT STATEMENT              |        |      |      |    1 (100)|          |
  |  1 |  COUNT                        |        |      |      |            |          |
  |  2 |  CONNECT BY WITHOUT FILTERING|        |      |      |            |          |
  |  3 |    VIEW                      |        |    1 |    13 |    1  (0)| 00:00:01 |
  |  4 |    SORT AGGREGATE            |        |    1 |    4 |            |          |
  |  5 |      INDEX FULL SCAN (MIN/MAX)| PK_EMP |    1 |    4 |    1  (0)| 00:00:01 |
  ----------------------------------------------------------------------------------------
  
  Cardinality estimated is one.
  

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• Different plan for the same sql id

  Hello

  Our team of application reported recently that a query ran longer than usual.

  Search in tables AWR (dba_hist_active_sess_history & dba_hist_sqlstat), it was a change of plan_hash_value. The next day, without intervention from anyone (collect statistics did not run, no change in the tables involved) the sql used the former plan and completed quickly.

  The differences in the plan was the index that was used to access the table.

  What could be the reason for the optimizer to choose a bad plan and return once more the good thing. ?

  The code sql that has been run twice & three in one day and then it years off cursor cache.

  Regime shifts are normal.

  Flipfloppping plans are quite normal.

  I'd be willing to bet that a large percentage of your SQL shows variations in implementation plans and you never notice.

  And there are several reasons why you might get a different plan.

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