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‎optimizer/execution_plans/part0/EM_sqlmonitor_output.html

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‎optimizer/execution_plans/part0/README.md

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Some examples for generating SQL execution plans.
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The scripts are designed to work in SQL Plus or SQLCL.
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Spool files (.lst) are included so you can see the expected results.
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To run the examples yourself, use a DBA account and start by running "ctables.sql". Note that this will drop some tables - so use a test database only!
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Next, run the examples: eg1.sql ... eg5.sql
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An interactive report from Enterprise Manager us also included: EM_sqlmonitor_output.html
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### DISCLAIMER
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* These scripts are provided for educational purposes only.
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* They are NOT supported by Oracle World Wide Technical Support.
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* The scripts have been tested and they appear to work as intended.
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* You should always run scripts on a test instance.
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### WARNING
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* These scripts drop and create tables. For use on test databases.

‎optimizer/execution_plans/part0/advanced.sql

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set linesize 220 tab off pagesize 1000 trims on
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column plan_table_output format a120
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SELECT *
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FROM table(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'LAST ADVANCED'));

‎optimizer/execution_plans/part0/ctables.sql

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PROMPT ***********************************************************
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PROMPT
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PROMPT WARNING!
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PROMPT About to drop tables 'roles', 'employees' and 'departments'
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PROMPT
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PROMPT ***************************************************************************************************************
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PAUSE Press <cr> to continue...
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drop table roles purge;
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drop table employees purge;
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drop table departments purge;
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create table employees (id number(10) not null, ename varchar2(100) not null, dept_id number(10) not null, role_id number(10) not null, staffno number(10) not null);
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create table departments (id number(10) not null, dname varchar2(100) not null);
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create table roles (id number(10) not null, rname varchar2(100) not null);
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begin
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for i in 1..500
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loop
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insert into employees values (i,'Employee Name '||i, mod(i,10) + 1, mod(i,10), i);
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end loop;
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for i in 1..10
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loop
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insert into departments values (i,'Department Name '||i);
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insert into roles values (i,'Role Name '||i);
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insert into roles values (i+11,'Role Name '||i);
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end loop;
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commit;
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end;
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/
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exec dbms_stats.gather_table_stats(user,'employees');
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exec dbms_stats.gather_table_stats(user,'departments');
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exec dbms_stats.gather_table_stats(user,'roles');

‎optimizer/execution_plans/part0/eg1.lst

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SQL> @eg1
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SQL> column ename format a20
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SQL> column rname format a20
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SQL>
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SQL> select e.ename,r.rname
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2 from employees e
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3 join roles r on (r.id = e.role_id)
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4 join departments d on (d.id = e.dept_id)
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5 where e.staffno <= 10
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6 and d.dname in ('Department Name 1','Department Name 2');
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ENAME RNAME
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-------------------- --------------------
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Employee Name 1 Role Name 1
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SQL>
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SQL> @advanced
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SQL> set linesize 220 tab off pagesize 1000 trims on
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SQL> column plan_table_output format a120
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SQL>
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SQL> SELECT *
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2 FROM table(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'LAST ADVANCED'));
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PLAN_TABLE_OUTPUT
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------------------------------------------------------------------------------------------------------------------------
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SQL_ID 3aun1ts4t8b80, child number 0
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-------------------------------------
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select e.ename,r.rname from employees e join roles r on
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(r.id = e.role_id) join departments d on (d.id = e.dept_id) where
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e.staffno <= 10 and d.dname in ('Department Name 1','Department Name
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2')
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Plan hash value: 2341252972
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-----------------------------------------------------------------------------------
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| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
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-----------------------------------------------------------------------------------
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| 0 | SELECT STATEMENT | | | | 6 (100)| |
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|* 1 | HASH JOIN | | 3 | 192 | 6 (0)| 00:00:01 |
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|* 2 | HASH JOIN | | 3 | 147 | 4 (0)| 00:00:01 |
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|* 3 | TABLE ACCESS FULL| DEPARTMENTS | 2 | 42 | 2 (0)| 00:00:01 |
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|* 4 | TABLE ACCESS FULL| EMPLOYEES | 10 | 280 | 2 (0)| 00:00:01 |
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| 5 | TABLE ACCESS FULL | ROLES | 20 | 300 | 2 (0)| 00:00:01 |
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-----------------------------------------------------------------------------------
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Query Block Name / Object Alias (identified by operation id):
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-------------------------------------------------------------
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1 - SEL$9E43CB6E
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3 - SEL$9E43CB6E / D@SEL$2
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4 - SEL$9E43CB6E / E@SEL$1
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5 - SEL$9E43CB6E / R@SEL$1
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Outline Data
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-------------
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/*+
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BEGIN_OUTLINE_DATA
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IGNORE_OPTIM_EMBEDDED_HINTS
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OPTIMIZER_FEATURES_ENABLE('12.2.0.1')
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DB_VERSION('12.2.0.1')
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ALL_ROWS
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OUTLINE_LEAF(@"SEL$9E43CB6E")
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MERGE(@"SEL$58A6D7F6" >"SEL$3")
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OUTLINE(@"SEL$3")
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OUTLINE(@"SEL$58A6D7F6")
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MERGE(@"SEL$1" >"SEL$2")
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OUTLINE(@"SEL$2")
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OUTLINE(@"SEL$1")
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FULL(@"SEL$9E43CB6E" "D"@"SEL$2")
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FULL(@"SEL$9E43CB6E" "E"@"SEL$1")
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FULL(@"SEL$9E43CB6E" "R"@"SEL$1")
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LEADING(@"SEL$9E43CB6E" "D"@"SEL$2" "E"@"SEL$1" "R"@"SEL$1")
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USE_HASH(@"SEL$9E43CB6E" "E"@"SEL$1")
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USE_HASH(@"SEL$9E43CB6E" "R"@"SEL$1")
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END_OUTLINE_DATA
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*/
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Predicate Information (identified by operation id):
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---------------------------------------------------
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1 - access("R"."ID"="E"."ROLE_ID")
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2 - access("D"."ID"="E"."DEPT_ID")
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3 - filter(("D"."DNAME"='Department Name 1' OR "D"."DNAME"='Department
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Name 2'))
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4 - filter("E"."STAFFNO"<=10)
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Column Projection Information (identified by operation id):
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-----------------------------------------------------------
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1 - (#keys=1) "E"."ENAME"[VARCHAR2,100], "R"."RNAME"[VARCHAR2,100]
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2 - (#keys=1; rowset=256) "E"."ENAME"[VARCHAR2,100],
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"E"."ROLE_ID"[NUMBER,22]
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3 - (rowset=256) "D"."ID"[NUMBER,22]
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4 - (rowset=256) "E"."ENAME"[VARCHAR2,100], "E"."DEPT_ID"[NUMBER,22],
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"E"."ROLE_ID"[NUMBER,22]
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5 - (rowset=256) "R"."ID"[NUMBER,22], "R"."RNAME"[VARCHAR2,100]
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73 rows selected.
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SQL> spool off

‎optimizer/execution_plans/part0/eg1.sql

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column ename format a20
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column rname format a20
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select e.ename,r.rname
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from employees e
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join roles r on (r.id = e.role_id)
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join departments d on (d.id = e.dept_id)
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where e.staffno <= 10
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and d.dname in ('Department Name 1','Department Name 2');
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--
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-- Show advanced plan for the SQL statement above
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--
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@advanced

‎optimizer/execution_plans/part0/eg2.lst

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SQL> @eg2
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SQL> column ename format a20
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SQL> column rname format a20
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SQL>
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SQL> select /*+ gather_plan_statistics */
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2 e.ename,r.rname
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3 from employees e
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4 join roles r on (r.id = e.role_id)
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5 join departments d on (d.id = e.dept_id)
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6 where e.staffno <= 10
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7 and d.dname in ('Department Name 1','Department Name 2');
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ENAME RNAME
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-------------------- --------------------
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Employee Name 1 Role Name 1
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SQL>
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SQL> @stats
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SQL> set linesize 210 tab off pagesize 1000 trims on
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SQL> column plan_table_output format a200
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SQL>
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SQL> SELECT *
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2 FROM table(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'LAST ALLSTATS ADVANCED'));
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PLAN_TABLE_OUTPUT
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--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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SQL_ID 589s24wvxcknf, child number 0
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-------------------------------------
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select /*+ gather_plan_statistics */ e.ename,r.rname from
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employees e join roles r on (r.id = e.role_id) join
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departments d on (d.id = e.dept_id) where e.staffno <= 10 and
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d.dname in ('Department Name 1','Department Name 2')
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Plan hash value: 2341252972
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--------------------------------------------------------------------------------------------------------------------------------------------------------
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| Id | Operation | Name | Starts | E-Rows |E-Bytes| Cost (%CPU)| E-Time | A-Rows | A-Time | Buffers | OMem | 1Mem | Used-Mem |
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--------------------------------------------------------------------------------------------------------------------------------------------------------
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| 0 | SELECT STATEMENT | | 1 | | | 6 (100)| | 1 |00:00:00.01 | 28 | | | |
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|* 1 | HASH JOIN | | 1 | 3 | 192 | 6 (0)| 00:00:01 | 1 |00:00:00.01 | 28 | 1448K| 1448K| 839K (0)|
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|* 2 | HASH JOIN | | 1 | 3 | 147 | 4 (0)| 00:00:01 | 2 |00:00:00.01 | 17 | 2545K| 2545K| 930K (0)|
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|* 3 | TABLE ACCESS FULL| DEPARTMENTS | 1 | 2 | 42 | 2 (0)| 00:00:01 | 2 |00:00:00.01 | 7 | | | |
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|* 4 | TABLE ACCESS FULL| EMPLOYEES | 1 | 10 | 280 | 2 (0)| 00:00:01 | 10 |00:00:00.01 | 7 | | | |
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| 5 | TABLE ACCESS FULL | ROLES | 1 | 20 | 300 | 2 (0)| 00:00:01 | 20 |00:00:00.01 | 8 | | | |
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--------------------------------------------------------------------------------------------------------------------------------------------------------
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Query Block Name / Object Alias (identified by operation id):
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-------------------------------------------------------------
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1 - SEL$9E43CB6E
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3 - SEL$9E43CB6E / D@SEL$2
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4 - SEL$9E43CB6E / E@SEL$1
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5 - SEL$9E43CB6E / R@SEL$1
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Outline Data
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-------------
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/*+
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BEGIN_OUTLINE_DATA
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IGNORE_OPTIM_EMBEDDED_HINTS
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OPTIMIZER_FEATURES_ENABLE('12.2.0.1')
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DB_VERSION('12.2.0.1')
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ALL_ROWS
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OUTLINE_LEAF(@"SEL$9E43CB6E")
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MERGE(@"SEL$58A6D7F6" >"SEL$3")
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OUTLINE(@"SEL$3")
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OUTLINE(@"SEL$58A6D7F6")
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MERGE(@"SEL$1" >"SEL$2")
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OUTLINE(@"SEL$2")
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OUTLINE(@"SEL$1")
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FULL(@"SEL$9E43CB6E" "D"@"SEL$2")
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FULL(@"SEL$9E43CB6E" "E"@"SEL$1")
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FULL(@"SEL$9E43CB6E" "R"@"SEL$1")
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LEADING(@"SEL$9E43CB6E" "D"@"SEL$2" "E"@"SEL$1" "R"@"SEL$1")
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USE_HASH(@"SEL$9E43CB6E" "E"@"SEL$1")
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USE_HASH(@"SEL$9E43CB6E" "R"@"SEL$1")
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END_OUTLINE_DATA
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*/
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Predicate Information (identified by operation id):
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---------------------------------------------------
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1 - access("R"."ID"="E"."ROLE_ID")
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2 - access("D"."ID"="E"."DEPT_ID")
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3 - filter(("D"."DNAME"='Department Name 1' OR "D"."DNAME"='Department Name 2'))
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4 - filter("E"."STAFFNO"<=10)
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Column Projection Information (identified by operation id):
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-----------------------------------------------------------
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1 - (#keys=1) "E"."ENAME"[VARCHAR2,100], "R"."RNAME"[VARCHAR2,100]
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2 - (#keys=1; rowset=256) "E"."ENAME"[VARCHAR2,100], "E"."ROLE_ID"[NUMBER,22]
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3 - (rowset=256) "D"."ID"[NUMBER,22]
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4 - (rowset=256) "E"."ENAME"[VARCHAR2,100], "E"."DEPT_ID"[NUMBER,22], "E"."ROLE_ID"[NUMBER,22]
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5 - (rowset=256) "R"."ID"[NUMBER,22], "R"."RNAME"[VARCHAR2,100]
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70 rows selected.
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SQL> spool off

‎optimizer/execution_plans/part0/eg2.sql

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column ename format a20
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column rname format a20
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select /*+ gather_plan_statistics */
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e.ename,r.rname
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from employees e
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join roles r on (r.id = e.role_id)
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join departments d on (d.id = e.dept_id)
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where e.staffno <= 10
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and d.dname in ('Department Name 1','Department Name 2');
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--
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-- Show advanced plan with runtime statistics
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--
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@stats

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