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Posts in category TOP

Oracle OpenWorld Schedule

Jul13
2010
2 Comments Written by Christian Antognini

Back from two weeks of vacation I noticed that the schedule of the next OpenWorld is available here.

The detailled information about my session, which is based on chapter 10 of my book, is the following:

ID# S316683
Title Join Techniques
Abstract This presentation explains how the query optimizer joins multiple sets of data to each other. First it explains the operation of the basic join methods (nested loop, hash join, and merge join) and the possibilities we have to influence their performance. Then it presents some more advanced optimization techniques such as the transformations applied to joins, and partition-wise joins.
Track Database
Date 22-SEP-2010
Time 13:00 – 14:00
Venue Moscone South
Room Rm 304

I’m looking forward to seeing you in San Francisco!

Update 2009-09-01: location was changed from “Rm 200″ to “Rm 304″.

Posted in Speaking

Troubleshooting Oracle Performance – Downloadable Files

Jun24
2010
7 Comments Written by Christian Antognini

This is just a short note to point out that I just uploaded a new version of the scripts related to TOP. The new ZIP is available through this page.

The change log is the following:

connect.sql Added DBM10205, DBA10205, DBM11201 and DBA11201
chapter02bind_variables.sql Because of 11g modified/added queries against V$SQL_SHARED_CURSOR
chapter02sharable_cursors.sql Added SET SERVEROUTPUT OFF in the initialization part
chapter03dbms_hprof.sql New file
chapter03sql_trace_trigger.sql New file
chapter06display_awr.sql Improved query that displays AWR content
chapter06execution_plans.sql Added example for UNION ALL (RECURSIVE WITH)
chapter07baseline_evolution_delete.sql New file
chapter07baseline_upgrade_11g.sql After import added update to set the owner of the SQL tuning set
chapter07opt_estimate.sql Uncommented 11g query
chapter07outline_with_hj.sql Script compatible with 10g/11g (set “_hash_join_enabled”)
chapter07tune_last_statement.sql Added SET SERVEROUTPUT OFF in the initialization part
chapter08client-side_caching.sql New file
chapter09conditions.sql Added queries containing NOT IN condition
chapter09hash_cluster.sql Changed comment related to IN operator because of 11.2 improvement
chapter10hash_join.sql Fixed typo in description
chapter10join_elimination.sql Fixed typo in description
chapter10join_elimination2.sql New file
chapter10pwj.sql Disabled join-filter pruning
chapter10subquery_unnesting.sql Cover many more cases
chapter11ArrayInterface.java Added check for the return value of the executeBatch method
chapter11ArrayInterfacePerf.java Fixed number of iterations in main method
chapter11atomic_refresh.sql Changed CTAS to avoid ORA-30009
chapter11dpi_performance.sql Changed CTAS to avoid ORA-30009
chapter11px_auto_dop.sql New file
chapter11px_ddl.sql Changed the part displaying the parallel DDL status
chapter11px_dml.sql Changed the part displaying the parallel DML status
chapter11px_query.sql Changed the part displaying the parallel query status
chapter11result_cache_plsql.sql Added comment about invalidation in 11.2
chapter12data_compression.sql Changed CTAS to avoid ORA-30009
databasesDBA10205 New directory containing the files to create the database DBA10205
databasesDBM10205 New directory containing the files to create the database DBM10205
databasesDBA11201 New directory containing the files to create the database DBA11201
databasesDBM11201 New directory containing the files to create the database DBM11201

Related-Combine Operation „UNION ALL (RECURSIVE WITH)“

Jun10
2010
4 Comments Written by Christian Antognini

To make easier the interpretation of execution plans, in chapter 6 of TOP I defined three types of operations: standalone operations, unrelated-combine operations, and related-combine operations. For combine operations I also added a list of all operations of each type. Since in 11.2 a new related-combine operation is available, I decided to write this short post as addenda to the content of the book.

The new related-combine operation, named “UNION ALL (RECURSIVE WITH)”, is available to support the new recursive subquery factoring clause. Hence, it is used for hierarchical queries. The following query and its execution plan show an example:

SQL> WITH
  2    e (xlevel, empno, ename, job, mgr, hiredate, sal, comm, deptno)
  3    AS (
  4      SELECT 1, empno, ename, job, mgr, hiredate, sal, comm, deptno
  5      FROM emp
  6      WHERE mgr IS NULL
  7      UNION ALL
  8      SELECT mgr.xlevel+1, emp.empno, emp.ename, emp.job, emp.mgr, emp.hiredate, emp.sal, emp.comm, emp.deptno
  9      FROM emp, e mgr
 10      WHERE emp.mgr = mgr.empno
 11    )
 12  SELECT *
 13  FROM e;

-------------------------------------------------------------------------------
| Id  | Operation                                 | Name    | Starts | A-Rows |
-------------------------------------------------------------------------------
|   0 | SELECT STATEMENT                          |         |      1 |     14 |
|   1 |  VIEW                                     |         |      1 |     14 |
|   2 |   UNION ALL (RECURSIVE WITH) BREADTH FIRST|         |      1 |     14 |
|*  3 |    TABLE ACCESS FULL                      | EMP     |      1 |      1 |
|   4 |    NESTED LOOPS                           |         |      4 |     13 |
|   5 |     NESTED LOOPS                          |         |      4 |     13 |
|   6 |      RECURSIVE WITH PUMP                  |         |      4 |     14 |
|*  7 |      INDEX RANGE SCAN                     | EMP_MGR |     14 |     13 |
|   8 |     TABLE ACCESS BY INDEX ROWID           | EMP     |     13 |     13 |
-------------------------------------------------------------------------------

   3 - filter("MGR" IS NULL)
   7 - access("EMP"."MGR"="MGR"."EMPNO")
       filter("EMP"."MGR" IS NOT NULL)

Notice that there are actually two operations:

  • UNION ALL (RECURSIVE WITH) BREADTH FIRST
  • UNION ALL (RECURSIVE WITH) DEPTH FIRST

As their name suggest, the difference is due to the search clause that you can set to either BREADTH FIRST BY or DEPTH FIRST BY.

Reading an execution plan containing the “UNION ALL (RECURSIVE WITH)” operation is the same as reading one containing the “CONNECT BY WITH FILTERING” operation. As a matter of fact, the purpose of both operations is basically the same. Just notice that also the “PUMP” operation used in the execution plan differs. While in the former it is called “RECURSIVE WITH PUMP”, in the latter it is called “CONNECT BY PUMP”. But the difference, for the purpose of reading the execution plan, does not matter.

You find a full description on how to read such an execution plan in this post.

Posted in 11gR2, Query Optimizer
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