Help for interpretation explains the release of the plan (dbms_xplan)

Hi all

I am trying to familiarize themselves with the reading and interpretation of the output of explain plan command or dbms_xplan, and so I hope someone can help with the output below.

With the command explain below, means that...

(a) he began to step 8 and sends all the lines of the loop nested in step 5
(b) but sends (or think it sends) 1 row in step 5 to step 8
(c) for each line that is provided in step 5, there will be a search index in step 8 to access the table in step 6
(d) step 8 gets only (or think it gets) 1 row

If that means that only 1 row is expected by the optimizer and yet the full table scan must return to 150 000 documents, and table a statistiucs to date, what else would cause the cardinality be far off?
If she does not mean it will return 1 row, then does that mean?
----------------------------------------------------------------------------------------------------------------------
| Id  | Operation                           | Name                           | Rows  | Bytes | Cost (%CPU)| Time     |
----------------------------------------------------------------------------------------------------------------------
|   0 | SELECT STATEMENT                    |                                |       |       |   945 (100)|          |
|   1 |  SORT GROUP BY                      |                                |     1 |   283 |   945   (3)| 00:00:05 |
|*  2 |   FILTER                            |                                |       |       |            |          |
|   3 |    NESTED LOOPS                     |                                |       |       |            |          |
|   4 |     NESTED LOOPS                    |                                |     1 |   283 |   944   (3)| 00:00:05 |
|   5 |      NESTED LOOPS                   |                                |     1 |   108 |   929   (3)| 00:00:05 |
|*  6 |       MAT_VIEW ACCESS FULL          | DEMOGRAPHICS_MV                |     1 |    97 |   927   (3)| 00:00:05 |
|*  7 |       MAT_VIEW ACCESS BY INDEX ROWID| NAMES_MV                       |     1 |    11 |     2   (0)| 00:00:01 |
|*  8 |        INDEX RANGE SCAN             | ORG_MV_IDX1                    |     1 |       |     1   (0)| 00:00:01 |
|*  9 |      INDEX RANGE SCAN               | PAY_IDX8                       |   252 |       |     4   (0)| 00:00:01 |
|* 10 |     TABLE ACCESS BY INDEX ROWID     | PAY_ALL                        |     1 |   175 |    15   (0)| 00:00:01 |
----------------------------------------------------------------------------------------------------------------------

Predicate Information (identified by operation id):
---------------------------------------------------

      8 - access("ORG_MV"."ORG_ID"="DEMO_MV"."ORG_ID")
Thanks a lot for your help.

SQL execution starts at ID = 6 with full scan on DEMOGRAPHICS_MV. This analysis should return 1 row.
Then, he expects to lead a nested loop to scan via the Index ORG_MV_IDX1 a NAMES_MV once (for 1 line, extracted from DEMOGRAPHICS_MV).
It then goes to PAY_IDX8 once where he expects to get 252 ROWID.
Finally, it accesses the table PAY_ALL.

You should also post the main information because it is very important to understand access and FILTER operations for each operation.

Hemant K Collette

Tags: Database

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  • Help to explain the plan - 11 GR 2

    11 GR 2, windows

    An AWR reports. the following sql code is under 'SQL sort by elapsed time.

    Select * from rator. History where account_id =: 'SYS_B_0' and create_date BETWEEN to_date (: "SYS_B_1,": "SYS_B_2")
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    Use dbms_xplan.display_awr to produce the plan of the explain command.

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    I have two tables (names have been changed to protect the innocent):


    TABLE 1:


    The Null columns?    Type

    -------------------- -------- ----------------------------------------------

    Table1_Primary_Key NOT NULL NUMBER

    more than 10 columns


    TABLE2:


    The Null columns?    Type

    -------------------- -------- ----------------------------------------------

    Table2_Primary_Key NOT NULL NUMBER

    more than 8 columns


    Lines of table1 has 1097172


    Rows of table2 has 160960


    I am analysis request and get explain below:


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    --

    FROM TABLE1 t1,

    From TABLE2 T2

    --

    WHERE t1. Table1_Primary_Key = t1. Table1_Primary_Key

    AND t2. Table2_Primary_Key = 3432798

    /


    ------------------------------------------------------------------------------------------------

    | ID | Operation | Name | Lines | Bytes | Cost (% CPU). Time |

    ------------------------------------------------------------------------------------------------

    |   0 | SELECT STATEMENT |                 |     1.    21.     5 (0) | 00:00:01 |

    |   1.  NESTED LOOPS |                 |     1.    21.     5 (0) | 00:00:01 |

    |   2.   TABLE ACCESS BY INDEX ROWID | TABLE2.     1.    12.     3 (0) | 00:00:01 |

    |*  3 |    INDEX UNIQUE SCAN | TABLE2_PK |     1.       |     2 (0) | 00:00:01 |

    |   4.   TABLE ACCESS BY INDEX ROWID | TABLE1.  1096K |  9634K |     2 (0) | 00:00:01 |

    |*  5 |    INDEX UNIQUE SCAN | TABLE1_PK |     1.       |     1 (0) | 00:00:01 |

    ------------------------------------------------------------------------------------------------


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    My question is this:


    Why the plan of the explain command seems (at least for me) to indicate that it looked like all the rows in TABLE1?


    Thank you


    Thomas

    the optimizer's decisions are based on the object (and maybe system) statistics: so it's a good idea to provide as much information as possible in these statistics. Basically, there is nothing wrong with statistics automatic collection job - so I would count on that if I don't have very good reason to use anything else. Of course, there are some situations in which it's a good idea to add a few adjustions for automatic collection: sometimes, there is too much created histograms, sometimes there is too little (basically you have histograms when the distribution of the data is not yet). And if there are columns with correlated values who serve together in boundary conditions then create extensive statistics may be a good idea. To make these adjustions, you can use the routines of pref dbms_stats. And sometimes, it may even be a good idea is not to collect statistics for an object and use the sample dynamic (dynamic statistics) for more detailed information on the cardinality of distribution and join.

    In the book of my opinion Jonathan Lewis cost base Oracle Fundamentals still contains the best explanation of the use of optimizer statistics - and Christian Antognini Oracle performance troubleshooting also provides a lot of valuable information about statistics and their gathering. Of course the documentation also explains the basics in detail: Managing optimizer statistics - 11 g Release 2 (11.2). And if you want to get a shorter summary, then you can always take a look at the Web of Tim Hall site: https://oracle-base.com/articles/misc/cost-based-optimizer-and-database-statistics.

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