18 SQL Access Advisor

18.1.1.1 SQL Access Advisor Repository

All the information needed and generated by SQL Access Advisor resides in the Advisor repository, which is a part of the database dictionary. The benefits of using the repository are that it:

• Collects a complete workload for SQL Access Advisor.

• Supports historical data.

• Is managed by the server.

18.2.3.1 Creating Tasks

In the task, you define what the advisor must analyze and the location of the analysis results. A user can create any number of tasks, each with its own specialization. All are based on the same Advisor task model and share the same repository.

You create a task using the CREATE_TASK procedure. The syntax is as follows:

DBMS_ADVISOR.CREATE_TASK (
   advisor_name          IN VARCHAR2,
   task_id               OUT NUMBER,
   task_name             IN OUT VARCHAR2,
   task_desc             IN VARCHAR2 := NULL,
   template              IN VARCHAR2 := NULL,
   is_template           IN VARCHAR2 := 'FALSE',
   how_created           IN VARCHAR2 := NULL); 

The following illustrates an example of using this procedure:

VARIABLE task_id NUMBER;
VARIABLE task_name VARCHAR2(255);
EXECUTE :task_name := 'MYTASK';
EXECUTE DBMS_ADVISOR.CREATE_TASK ('SQL Access Advisor', :task_id, :task_name);

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the CREATE_TASK procedure and its parameters.

18.2.3.2 Using Templates

When an ideal configuration for a task or workload has been identified, you can save this configuration as a template on which to base future tasks and workloads.

A template enables you to set up any number of tasks or workloads that can serve as intelligent starting points or templates for future task creation. By setting up a template, you can save time when performing tuning analysis. This approach also enables you to custom fit a tuning analysis to the business operation.

To create a task from a template, you specify the template to be used when a new task is created. At that time, SQL Access Advisor copies the data and parameter settings from the template into the newly created task. You can also set an existing task to be a template by setting the template attribute when creating the task or later using the UPDATE_TASK_ATTRIBUTE procedure.

To use a task as a template, you tell SQL Access Advisor to use a task when a new task is created. At that time, SQL Access Advisor copies the task template's data and parameter settings into the newly created task. You can also set an existing task to be a template by setting the template attribute at the command line or in Enterprise Manager.

18.2.3.3 Creating Templates

You can create a template as in the following example.

1. Create a template called MY_TEMPLATE.

   VARIABLE template_id NUMBER;
   VARIABLE template_name VARCHAR2(255);
   EXECUTE :template_name := 'MY_TEMPLATE';
   EXECUTE DBMS_ADVISOR.CREATE_TASK('SQL Access Advisor',:template_id, -
                                    :template_name, is_template => 'TRUE');
   

2. Set template parameters. For example, the following sets the naming conventions for recommended indexes and materialized views and the default tablespaces:

   -- set naming conventions for recommended indexes/mvs
   EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
      :template_name, 'INDEX_NAME_TEMPLATE', 'SH_IDX$$_<SEQ>');
   
   EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
      :template_name, 'MVIEW_NAME_TEMPLATE', 'SH_MV$$_<SEQ>');
   
   -- set default tablespace for recommended indexes/mvs
   EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
      :template_name, 'DEF_INDEX_TABLESPACE', 'SH_INDEXES');
   
   EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
      :template_name, 'DEF_MVIEW_TABLESPACE', 'SH_MVIEWS');
   

3. This template can now be used as a starting point to create a task as follows:

   VARIABLE task_id NUMBER;
   VARIABLE task_name VARCHAR2(255);
   EXECUTE :task_name := 'MYTASK';
   EXECUTE DBMS_ADVISOR.CREATE_TASK('SQL Access Advisor', :task_id, -
                                    :task_name, template=>'MY_TEMPLATE');
   

   The following example uses a pre-defined template SQLACCESS_WAREHOUSE. See Table 18-3 for more information.

   EXECUTE DBMS_ADVISOR.CREATE_TASK('SQL Access Advisor', -
      :task_id, :task_name,  template=>'SQLACCESS_WAREHOUSE');
   

18.2.4.1 SQL Tuning Set Workloads

The input workload source for SQL Access Advisor is the SQL tuning set. An important benefit of using a SQL tuning set is that because it is stored as a separate entity, it can easily be shared among many Advisor tasks. After a SQL tuning set object has been referenced by an Advisor task, it cannot be deleted or modified until all Advisor tasks have removed their dependency on the data. A workload reference is removed when a parent Advisor task is deleted or when the workload reference is manually removed from the Advisor task by the user.

SQL Access Advisor performs best when a workload based on actual usage is available. You can store multiple workloads in the form of SQL tuning sets, so that you can view the different uses of a real-world data warehousing or transaction-processing environment over a long period and across the life cycle of database instance startup and shutdown.

18.2.4.2 Using SQL Tuning Sets

The SQL tuning set workload is implemented using the DBMS_SQLTUNE package. See Oracle Database PL/SQL Packages and Types Reference for a description on creating and managing SQL tuning sets.

To transition existing SQL Workload objects to a SQL tuning set, the DBMS_ADVISOR package provides a procedure to copy SQL Workload data to a user-designated SQL tuning set. Note that, to use this procedure, the user must have the required SQL tuning set privileges and the required ADVISOR privilege.

The syntax is as follows:

DBMS_ADVISOR.COPY_SQLWKLD_TO_STS (
   workload_name        IN VARCHAR2,
   sts_name             IN VARCHAR2,
   import_mode          IN VARCHAR2 := 'NEW');

The following example illustrates its usage:

EXECUTE DBMS_ADVISOR.COPY_SQLWKLD_TO_STS('MYWORKLOAD','MYSTS','NEW');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the COPY_SQLWKLD_TO_STS procedure and its parameters.

18.2.4.3 Linking Tasks and Workloads

Before the recommendation process can begin, you must link the task to a SQL tuning set. You achieve this goal by using the ADD_STS_REF procedure and using their respective names to link the task and a Tuning Set. This procedure establishes a link between the Advisor task and a Tuning Set. And, after a connection has been defined, the SQL tuning set is protected from removal or update. The syntax is as follows:

DBMS_ADVISOR.ADD_STS_REF (task_name IN VARCHAR2,
 
sts_owner IN VARCHAR2,
sts_name  IN VARCHAR2);

The sts_owner parameter may be null, in which case the STS is assumed to be owned by the current user.

The following example links the MYTASK task created to the current user's MYWORKLOAD SQL tuning set:

EXECUTE DBMS_ADVISOR.ADD_STS_REF('MYTASK', null, 'MYWORKLOAD');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the ADD_STS_REF procedure and its parameters.

EXECUTE DBMS_ADVISOR.DELETE_STS_REF('MYTASK', null, 'MYWORKLOAD');

18.2.5.1 Recommendations and Actions

SQL Access Advisor makes several recommendations, each of which contains one or more individual actions. In general, each recommendation provides a benefit for one query or a set of queries. All individual actions in a recommendation must be implemented together to achieve the full benefit. Recommendations can share actions.

For example, a CREATE INDEX statement could provide a benefit for several queries, but some of those queries might benefit from an additional CREATE MATERIALIZED VIEW statement. In that case, the advisor would generate two recommendations: one for the set of queries that require only the index, and another one for the set of queries that require both the index and the materialized view to run optimally.

The partition recommendation is a special type of recommendation. When SQL Access Advisor determines that partitioning a specified base table would improve workload performance, the advisor adds a partition action to every recommendation containing a query referencing the base table. This technique ensures that index and materialized view recommendations are implemented on the correctly partitioned tables.

18.2.5.2 Recommendation Options

Before the advisor can generate recommendations, you must first define the parameters for the task using the SET_TASK_PARAMETER procedure. If parameters are not defined, then the database uses the defaults.

You can set task parameters by using the SET_TASK_PARAMETER procedure. The syntax is as follows.

DBMS_ADVISOR.SET_TASK_PARAMETER (
   task_name           IN VARCHAR2,
   parameter           IN VARCHAR2,
   value               IN [VARCHAR2 | NUMBER]);

There are many task parameters and, to help identify the relevant ones, they have been grouped into categories in Table 18-1. Note that all task parameters for workload filtering have been deprecated.

In the following example, set the storage change of task MYTASK to 100 MB. This indicates 100 MB of additional space for recommendations. A zero value indicates that no additional space can be allocated. A negative value indicates that the advisor must attempt to trim the current space utilization by the specified amount.

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER('MYTASK','STORAGE_CHANGE', 100000000);

In the following example, set the VALID_TABLE_LIST parameter to filter out all queries that do no consist of tables SH.SALES and SH.CUSTOMERS.

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   'MYTASK', 'VALID_TABLE_LIST', 'SH.SALES, SH.CUSTOMERS');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the SET_TASK_PARAMETER procedure and its parameters.

18.2.5.3 Evaluation Mode

SQL Access Advisor operates in two modes: problem-solving and evaluation. By default, SQL Access Advisor attempts to solve access method problems by looking for enhancements to index structures, partitions, materialized views, and materialized view logs. For example, a problem-solving run may recommend creating a new index, adding a new column to a materialized view log, and so on.

When performing evaluation only, SQL Access Advisor comments only on which access structures the supplied workload will use. An evaluation-only run may only produce recommendations such as retaining an index, retaining a materialized view, and so on. The evaluation mode can be useful to see exactly which indexes and materialized views a workload is using. SQL Access Advisor does not evaluate the performance impact of existing base table partitioning.

18.2.5.4 View Intermediate Results During Recommendation Analysis

SQL Access Advisor now can see intermediate results during the analysis operation. Previously, results of an analysis operation were unavailable until the processing had completed or was interrupted by the user. Now, the user may access results in the corresponding recommendation and action tables even while SQL Access Advisor task is still executing. The benefit is that long running tasks can provide evidence that may allow the user to accept the current results by interrupting the task rather than waiting for a lengthy execution to complete.

To accept the current set of recommendations, the user must interrupt the task. This interruption signals SQL Access Advisor to stop processing and marks the task as INTERRUPTED. At that point, the user may update recommendation attributes and generate scripts. Alternatively, the user can allow SQL Access Advisor to complete the recommendation process.

Note that intermediate results represent recommendations for the workload contents up to that point in time. If it is critical that the recommendations be sensitive to the entire workload, then Oracle recommends that you allow the task execution to complete normally. Additionally, recommendations made by the advisor early in the recommendation process do not contain any base table partitioning recommendations. The partitioning analysis requires a substantial part of the workload to be processed before it can determine whether partitioning would be beneficial. Therefore, if SQL Access Advisor detects a benefit, then only later intermediate results contain base table partitioning recommendations.

18.2.5.5 Generating Recommendations

You can generate recommendations by using the EXECUTE_TASK procedure with your task name. After the procedure finishes, you can check the DBA_ADVISOR_LOG table for the actual execution status and the number of recommendations and actions that have been produced. You can query recommendations by task name in {DBA, USER}_ADVISOR_RECOMMENDATIONS. You can view the actions for these recommendations by task in {DBA, USER}_ADVISOR_ACTIONS.

DBMS_ADVISOR.EXECUTE_TASK (task_name   IN VARCHAR2);

EXECUTE DBMS_ADVISOR.EXECUTE_TASK('MYTASK');

18.2.5.6 Viewing Recommendations

You can view each recommendation generated by SQL Access Advisor using several catalog views, such as (DBA, USER)_ADVISOR_RECOMMENDATIONS. However, it is easier to use the GET_TASK_SCRIPT procedure or use SQL Access Advisor in Enterprise Manager, which graphically displays the recommendations and provides hyperlinks to quickly see which SQL statements benefit from a recommendation. Each recommendation produced by SQL Access Advisor is linked to the SQL statement it benefits.

The following shows the recommendation (rec_id) produced by an Advisor run, with their rank and total benefit. The rank is a measure of the importance of the queries that the recommendation helps. The benefit is the total improvement in execution cost (in terms of optimizer cost) of all the queries using the recommendation.

VARIABLE workload_name VARCHAR2(255); 
VARIABLE task_name VARCHAR2(255);
EXECUTE :task_name := 'MYTASK';
EXECUTE :workload_name := 'MYWORKLOAD'; 

SELECT REC_ID, RANK, BENEFIT
FROM USER_ADVISOR_RECOMMENDATIONS WHERE TASK_NAME = :task_name;

    REC_ID       RANK    BENEFIT
---------- ---------- ----------
         1          2       2754
         2          3       1222
         3          1       5499
         4          4        594

To identify which query benefits from which recommendation, you can use the views DBA_* and USER_ADVISOR_SQLA_WK_STMTS. The precost and postcost numbers are in terms of the estimated optimizer cost (shown in EXPLAIN PLAN) without and with the recommended access structure changes, respectively. To see recommendations for each query, issue the following statement:

SELECT sql_id, rec_id, precost, postcost,
       (precost-postcost)*100/precost AS percent_benefit
FROM USER_ADVISOR_SQLA_WK_STMTS
WHERE TASK_NAME = :task_name AND workload_name = :workload_name;

    SQL_ID     REC_ID    PRECOST   POSTCOST PERCENT_BENEFIT
---------- ---------- ---------- ---------- ---------------
       121          1       3003        249      91.7082917
       122          2       1404        182       87.037037
       123          3       5503          4      99.9273124
       124          4        730        136       81.369863

Each recommendation consists of one or more actions, which must be implemented together to realize the benefit provided by the recommendation. SQL Access Advisor produces the following types of actions:

• PARTITION BASE TABLE

• CREATE|DROP|RETAIN MATERIALIZED VIEW

• CREATE|ALTER|RETAIN MATERIALIZED VIEW LOG

• CREATE|DROP|RETAIN INDEX

• GATHER STATS

The PARTITION BASE TABLE action partitions an existing unpartitioned base table. The CREATE actions corresponds to new access structures. RETAIN recommendations indicate that existing access structures must be kept. DROP recommendations are only produced if the WORKLOAD_SCOPE parameter is set to FULL. The GATHER STATS action generates a call to DBMS_STATS procedure to gather statistics on a newly generated access structure. Note that multiple recommendations may refer to the same action. However, when generating a script for the recommendation, you only see each action once.

In the following example, you can see how many distinct actions there are for this set of recommendations.

SELECT 'Action Count', COUNT(DISTINCT action_id) cnt
FROM USER_ADVISOR_ACTIONS WHERE task_name = :task_name;

'ACTIONCOUNT        CNT
------------   --------
Action Count         20

-- see the actions for each recommendations
SELECT rec_id, action_id, SUBSTR(command,1,30) AS command
FROM user_advisor_actions WHERE task_name = :task_name
ORDER BY rec_id, action_id;

    REC_ID  ACTION_ID COMMAND
---------- ---------- ------------------------------
         1          5 CREATE MATERIALIZED VIEW LOG
         1          6 ALTER MATERIALIZED VIEW LOG
         1          7 CREATE MATERIALIZED VIEW LOG
         1          8 ALTER MATERIALIZED VIEW LOG
         1          9 CREATE MATERIALIZED VIEW LOG
         1         10 ALTER MATERIALIZED VIEW LOG
         1         11 CREATE MATERIALIZED VIEW
         1         12 GATHER TABLE STATISTICS
         1         19 CREATE INDEX
         1         20 GATHER INDEX STATISTICS
         2          5 CREATE MATERIALIZED VIEW LOG
         2          6 ALTER MATERIALIZED VIEW LOG
         2          9 CREATE MATERIALIZED VIEW LOG
         ...
    

Each action has several attributes that pertain to the properties of the access structure. The name and tablespace for each access structure when applicable are placed in attr1 and attr2 respectively. The space occupied by each new access structure is in num_attr1. All other attributes are different for each action.

Table 18-2 maps SQL Access Advisor action information to the corresponding column in DBA_ADVISOR_ACTIONS. In the table, "MV" refers to a materialized view.

The following PL/SQL procedure can print some of the attributes of the recommendations.

CONNECT SH/SH;
CREATE OR REPLACE PROCEDURE show_recm (in_task_name IN VARCHAR2) IS 
CURSOR curs IS
  SELECT DISTINCT action_id, command, attr1, attr2, attr3, attr4
  FROM user_advisor_actions
  WHERE task_name = in_task_name
  ORDER BY action_id;
  v_action        number;
  v_command     VARCHAR2(32);
  v_attr1       VARCHAR2(4000);
  v_attr2       VARCHAR2(4000);
  v_attr3       VARCHAR2(4000);
  v_attr4       VARCHAR2(4000);
  v_attr5       VARCHAR2(4000);
BEGIN
  OPEN curs;
  DBMS_OUTPUT.PUT_LINE('=========================================');
  DBMS_OUTPUT.PUT_LINE('Task_name = ' || in_task_name);
  LOOP
     FETCH curs INTO  
       v_action, v_command, v_attr1, v_attr2, v_attr3, v_attr4 ;
   EXIT when curs%NOTFOUND;
   DBMS_OUTPUT.PUT_LINE('Action ID: ' || v_action);
   DBMS_OUTPUT.PUT_LINE('Command : ' || v_command);
   DBMS_OUTPUT.PUT_LINE('Attr1 (name)      : ' || SUBSTR(v_attr1,1,30));
   DBMS_OUTPUT.PUT_LINE('Attr2 (tablespace): ' || SUBSTR(v_attr2,1,30));
   DBMS_OUTPUT.PUT_LINE('Attr3             : ' || SUBSTR(v_attr3,1,30));
   DBMS_OUTPUT.PUT_LINE('Attr4             : ' || v_attr4);
   DBMS_OUTPUT.PUT_LINE('Attr5             : ' || v_attr5);
   DBMS_OUTPUT.PUT_LINE('----------------------------------------');  
   END LOOP;   
   CLOSE curs;      
   DBMS_OUTPUT.PUT_LINE('=========END RECOMMENDATIONS============');
END show_recm;
/
-- see what the actions are using sample procedure
set serveroutput on size 99999
EXECUTE show_recm(:task_name);
A fragment of a sample output from this procedure is as follows:
Task_name = MYTASK
Action ID: 1
Command : CREATE MATERIALIZED VIEW LOG 
Attr1 (name)      : "SH"."CUSTOMERS"
Attr2 (tablespace):
Attr3             : ROWID, SEQUENCE
Attr4             :  INCLUDING NEW VALUES
Attr5             :
----------------------------------------
..
----------------------------------------
Action ID: 15
Command : CREATE MATERIALIZED VIEW
Attr1 (name)      : "SH"."SH_MV$$_0004"
Attr2 (tablespace): "SH_MVIEWS"
Attr3             : REFRESH FAST WITH ROWID
Attr4             : ENABLE QUERY REWRITE
Attr5             :
----------------------------------------
..
----------------------------------------
Action ID: 19
Command : CREATE INDEX
Attr1 (name)      : "SH"."SH_IDX$$_0013"
Attr2 (tablespace): "SH_INDEXES"
Attr3             : "SH"."SH_MV$$_0002"
Attr4             : BITMAP
Attr5             :

See Oracle Database PL/SQL Packages and Types Reference for details regarding Attr5 and Attr6.

18.2.5.7 Stopping the Recommendation Process

If SQL Access Advisor takes too long to make its recommendations using the procedure EXECUTE_TASK, then you can stop it by calling the CANCEL_TASK procedure and passing in the task_name for this recommendation process. If you use CANCEL_TASK, then SQL Access Advisor makes no recommendations. Therefore, if recommendations are required, consider using the INTERRUPT_TASK procedure.

DBMS_ADVISOR.INTERRUPT_TASK (task_name IN VARCHAR2);

EXECUTE DBMS_ADVISOR.INTERRUPT_TASK ('MY_TASK');

DBMS_ADVISOR.CANCEL_TASK (task_name   IN  VARCHAR2);

EXECUTE DBMS_ADVISOR.CANCEL_TASK('MYTASK');

18.2.5.8 Marking Recommendations

By default, all SQL Access Advisor recommendations are ready to be implemented, however, the user can choose to skip or exclude selected recommendations by using the MARK_RECOMMENDATION procedure. MARK_RECOMMENDATION allows the user to annotate a recommendation with a REJECT or IGNORE setting, which causes the GET_TASK_SCRIPT to skip it when producing the implementation procedure. The syntax is as follows:

DBMS_ADVISOR.MARK_RECOMMENDATION (
   task_name          IN VARCHAR2
   id                 IN NUMBER,
   action             IN VARCHAR2);

The following example marks a recommendation with ID 2 as REJECT. This recommendation and any dependent recommendations do not appear in the script.

EXECUTE DBMS_ADVISOR.MARK_RECOMMENDATION('MYTASK', 2, 'REJECT');

If the Advisor makes a recommendation to partition one or multiple previously unpartitioned base tables, then consider carefully before skipping this recommendation. Changing a table's partitioning scheme affects the cost of all queries, indexes, and materialized views defined on that table. Therefore, if you skip the partitioning recommendation, then the Advisor's remaining recommendations on this table are no longer optimal. To see recommendations on your workload that do not contain partitioning, reset the advisor task and rerun it with the ANALYSIS_SCOPE parameter changed to exclude partitioning recommendations.

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the MARK_RECOMMENDATIONS procedure and its parameters.

18.2.5.9 Modifying Recommendations

Using the UPDATE_REC_ATTRIBUTES procedure, SQL Access Advisor names and assigns ownership to new objects such as indexes and materialized views during the analysis operation. However, it does not necessarily choose appropriate names, so you may manually set the owner, name, and tablespace values for new objects. For recommendations referencing existing database objects, owner and name values cannot be changed. The syntax is as follows:

DBMS_ADVISOR.UPDATE_REC_ATTRIBUTES (
   task_name            IN VARCHAR2
   rec_id               IN NUMBER,
   action_id            IN NUMBER,
   attribute_name       IN VARCHAR2,
   value                IN VARCHAR2);

The attribute_name parameter can take the following values:

• OWNER

  Specifies the owner name of the recommended object.

• NAME

  Specifies the name of the recommended object.

• TABLESPACE

  Specifies the tablespace of the recommended object.

The following example modifies the attribute TABLESPACE for recommendation ID 1, action ID 1 to SH_MVIEWS.

EXECUTE DBMS_ADVISOR.UPDATE_REC_ATTRIBUTES('MYTASK', 1, 1, - 
                                           'TABLESPACE', 'SH_MVIEWS');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the UPDATE_REC_ATTRIBUTES procedure and its parameters.

18.2.5.10 Generating SQL Scripts

An alternative to querying the metadata to see the recommendations is to create a script of the SQL statements for the recommendations, using the procedure GET_TASK_SCRIPT. The resulting script is an executable SQL file that can contain DROP, CREATE, and ALTER statements. For new objects, the names of the materialized views, materialized view logs, and indexes are auto-generated by using the user-specified name template. You should review the generated SQL script before attempting to execute it.

There are several task parameters that control the naming conventions (MVIEW_NAME_TEMPLATE and INDEX_NAME_TEMPLATE), the owner for these new objects (DEF_INDEX_OWNER and DEF_MVIEW_OWNER), and the tablespaces (DEF_MVIEW_TABLESPACE and DEF_INDEX_TABLESPACE).

The following example shows how to generate a CLOB containing the script for the recommendations:

EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT('MYTASK'),
               'ADVISOR_RESULTS', 'advscript.sql'); 

To save the script to a file, a directory path must be supplied so that the procedure CREATE_FILE knows where to store the script. In addition, read and write privileges must be granted on this directory. The following example shows how to save an advisor script CLOB to a file:

-- create a directory and grant permissions to read/write to it
CONNECT SH/SH;
CREATE DIRECTORY ADVISOR_RESULTS AS '/mydir';
GRANT READ ON DIRECTORY ADVISOR_RESULTS TO PUBLIC;
GRANT WRITE ON DIRECTORY ADVISOR_RESULTS TO PUBLIC;

The following is a fragment of a script generated by this procedure. The script also includes PL/SQL calls to gather statistics on the recommended access structures and marks the recommendations as IMPLEMENTED at the end:

Rem  Access Advisor V11.1.0.0.0 - Production
Rem  
Rem  Username:        SH
Rem  Task:            MYTASK
Rem  Execution date:  15/08/2006 11:35
Rem  
set feedback 1
set linesize 80
set trimspool on
set tab off
set pagesize 60
whenever sqlerror CONTINUE

CREATE MATERIALIZED VIEW LOG ON "SH"."PRODUCTS"
    WITH ROWID, SEQUENCE("PROD_ID","PROD_SUBCATEGORY")
    INCLUDING NEW VALUES;
ALTER MATERIALIZED VIEW LOG FORCE ON "SH"."PRODUCTS"
    ADD ROWID, SEQUENCE("PROD_ID","PROD_SUBCATEGORY")
    INCLUDING NEW VALUES;
..
CREATE MATERIALIZED VIEW "SH"."MV$$_00510002"
    REFRESH FAST WITH ROWID
    ENABLE QUERY REWRITE
    AS SELECT SH.CUSTOMERS.CUST_STATE_PROVINCE C1, COUNT(*) M1 FROM
SH.CUSTOMERS WHERE (SH.CUSTOMERS.CUST_STATE_PROVINCE = 'CA') GROUP
BY SH.CUSTOMERS.CUST_STATE_PROVINCE;
BEGIN
  DBMS_STATS.GATHER_TABLE_STATS('"SH"', '"MV$$_00510002"', NULL, 
     DBMS_STATS.AUTO_SAMPLE_SIZE);
END;
/
..
CREATE BITMAP INDEX "SH"."MV$$_00510004_IDX$$_00510013"
    ON "SH"."MV$$_00510004" ("C4");
whenever sqlerror EXIT SQL.SQLCODE
BEGIN
  DBMS_ADVISOR.MARK_RECOMMENDATION('"MYTASK"',1,'IMPLEMENTED');
  DBMS_ADVISOR.MARK_RECOMMENDATION('"MYTASK"',2,'IMPLEMENTED');
  DBMS_ADVISOR.MARK_RECOMMENDATION('"MYTASK"',3,'IMPLEMENTED');
  DBMS_ADVISOR.MARK_RECOMMENDATION('"MYTASK"',4,'IMPLEMENTED');
END;
/

18.2.5.11 Special Considerations when Script Includes Partitioning Recommendations

The Advisor may recommend partitioning an existing unpartitioned base table to improve query performance. When the Advisor implementation script contains partition recommendations, you must take note of the following issues:

• Partitioning an existing table is a complex and extensive operation, which may take considerably longer than implementing a new index or materialized view. Sufficient time should be reserved for implementing this recommendation.

• While index and materialized view recommendations are easy to reverse by deleting the index or view, a table, after being partitioned, cannot easily be restored to its original state. Therefore, ensure that you back up the database before executing a script containing partition recommendations.

• While repartitioning a base table, SQL Access Advisor scripts make a temporary copy of the original table, which occupies the same amount of space as the original table. Therefore, the repartitioning process requires sufficient free disk space for another copy of the largest table to be repartitioned. You must ensure that such space is available before running the implementation script.

  The partition implementation script attempts to migrate dependent objects such as indexes, materialized views, and constraints. However, some object cannot be automatically migrated. For example, PL/SQL stored procedures defined against a repartitioned base table typically become invalid and must be recompiled.

• If you decide not to implement a partition recommendation that the advisor has made, then note that all other recommendations on the same table in the same script (such as CREATE INDEX and CREATE MATERIALIZED VIEW recommendations) are dependent on the partitioning recommendation. To obtain accurate recommendations, you should not simply remove the partition recommendation from the script. Rather, rerun the advisor with partitioning disabled (for example, by setting parameter ANALYSIS_SCOPE to a value that does not include the keyword TABLE).

18.2.5.12 When Recommendations are no Longer Required

The RESET_TASK procedure resets a task to its initial starting point. This has the effect of removing all recommendations, and intermediate data from the task. The actual task status is set to INITIAL. The syntax is as follows:

DBMS_ADVISOR.RESET_TASK (task_name     IN VARCHAR2);

The following illustrates an example of using this procedure:

EXECUTE DBMS_ADVISOR.RESET_TASK('MYTASK');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the RESET_TASK procedure and its parameters.

18.2.7.1 Updating Task Attributes

Using the UPDATE_TASK_ATTRIBUTES procedure, you can:

• Change the name of a task.

• Give a task a description.

• Set the task to be read-only so it cannot be changed.

• Make the task a template upon which you can define other tasks.

• Changes various attributes of a task or a task template.

The syntax is as follows:

DBMS_ADVISOR.UPDATE_TASK_ATTRIBUTES (
   task_name          IN VARCHAR2
   new_name           IN VARCHAR2 := NULL,
   description        IN VARCHAR2 := NULL,
   read_only          IN VARCHAR2 := NULL,
   is_template        IN VARCHAR2 := NULL,
   how_created        IN VARCHAR2 := NULL);

The following example updates the name of an task MYTASK to TUNING1:

EXECUTE DBMS_ADVISOR.UPDATE_TASK_ATTRIBUTES('MYTASK', 'TUNING1');

The following example marks the task TUNING1 to read-only

EXECUTE DBMS_ADVISOR.UPDATE_TASK_ATTRIBUTES('TUNING1', read_only => 'TRUE');

The following example marks the task MYTASK as a template.

EXECUTE DBMS_ADVISOR.UPDATE_TASK_ATTRIBUTES('TUNING1', is_template=>'TRUE');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the UPDATE_TASK_ATTRIBUTES procedure and its parameters.

18.2.7.2 Deleting Tasks

The DELETE_TASK procedure deletes existing Advisor tasks from the repository. The syntax is as follows:

DBMS_ADVISOR.DELETE_TASK (task_name  IN VARCHAR2);

The following illustrates an example of using this procedure:

EXECUTE DBMS_ADVISOR.DELETE_TASK('MYTASK');

See Oracle Database PL/SQL Packages and Types Reference for more information regarding the DELETE_TASK procedure and its parameters.

18.2.7.3 Setting the DAYS_TO_EXPIRE Parameter

When a task or workload object is created, the parameter DAYS_TO_EXPIRE is set to 30. The value indicates the number of days until the task or object is automatically deleted by the system. To save a task or workload indefinitely, set the DAYS_TO_EXPIRE parameter to ADVISOR_UNLIMITED.

18.2.9.1 Recommendations From a User-Defined Workload

The following example imports workload from a user-defined table, SH.USER_WORKLOAD. It then creates a task called MYTASK, sets the storage budget to 100 MB, and runs the task. A PL/SQL procedure prints the recommendations. Finally, the example generates a script that you can use to implement the recommendations.

Step 1   Prepare the USER_WORKLOAD table

Load the USER_WORKLOAD table with SQL statements as follows:

CONNECT SH/SH;
-- aggregation with selection
INSERT INTO user_workload (username, module, action, priority, sql_text)
VALUES ('SH', 'Example1', 'Action', 2, 
'SELECT   t.week_ending_day, p.prod_subcategory, 
          SUM(s.amount_sold) AS dollars, s.channel_id, s.promo_id
 FROM sales s, times t, products p WHERE s.time_id = t.time_id
 AND s.prod_id = p.prod_id AND s.prod_id > 10 AND s.prod_id < 50
 GROUP BY t.week_ending_day, p.prod_subcategory, 
          s.channel_id, s.promo_id')
/

-- aggregation with selection
INSERT INTO user_workload (username, module, action, priority, sql_text)
VALUES ('SH', 'Example1', 'Action', 2, 
 'SELECT   t.calendar_month_desc, SUM(s.amount_sold) AS dollars
  FROM     sales s , times t
  WHERE    s.time_id = t.time_id
  AND    s.time_id between TO_DATE(''01-JAN-2000'', ''DD-MON-YYYY'')
                       AND TO_DATE(''01-JUL-2000'', ''DD-MON-YYYY'')
GROUP BY t.calendar_month_desc')
/

--Load all SQL queries.
INSERT INTO user_workload (username, module, action, priority, sql_text)
VALUES ('SH', 'Example1', 'Action', 2, 
'SELECT ch.channel_class, c.cust_city, t.calendar_quarter_desc,
   SUM(s.amount_sold) sales_amount
FROM sales s, times t, customers c, channels ch
WHERE s.time_id = t.time_id AND s.cust_id = c.cust_id
AND s.channel_id = ch.channel_id AND c.cust_state_province = ''CA''
AND   ch.channel_desc IN (''Internet'',''Catalog'')
AND   t.calendar_quarter_desc IN (''1999-Q1'',''1999-Q2'')
GROUP BY ch.channel_class, c.cust_city, t.calendar_quarter_desc')
/

-- order by
INSERT INTO user_workload (username, module, action, priority, sql_text)
VALUES ('SH', 'Example1', 'Action', 2, 
  'SELECT c.country_id, c.cust_city, c.cust_last_name
FROM customers c WHERE c.country_id IN (52790, 52789)
ORDER BY c.country_id, c.cust_city, c.cust_last_name')
/
COMMIT;

CONNECT SH/SH;
set serveroutput on;

VARIABLE task_id NUMBER;
VARIABLE task_name VARCHAR2(255);
VARIABLE workload_name VARCHAR2(255);

Step 2   Create a SQL tuning set named MYWORKLOAD

EXECUTE :workload_name := 'MYWORKLOAD';
EXECUTE DBMS_SQLTUNE.CREATE_SQLSET(:workload_name, 'test purposeV);

Step 3   Load the SQL tuning set from the user-defined table SH.USER_WORKLOAD

DECLARE
  sqlset_cur DBMS_SQLTUNE.SQLSET_CURSOR;    /*a sqlset cursor variable*/
BEGIN
OPEN  sqlset_cur FOR
  SELECT
    SQLSET_ROW(null, sql_text, null, null, username, null,
     null, 0,0,0,0,0,0,0,0,0,null, 0,0,0,0)
   AS ROW
  FROM USER_WORKLOAD;
DBMS_SQLTUNE.LOAD_SQLSET(:workload_name, sqlset_cur);
END;

Step 4   Create a task named MYTASK

EXECUTE :task_name := 'MYTASK';

EXECUTE DBMS_ADVISOR.CREATE_TASK('SQL Access Advisor', :task_id, :task_name);

Step 5   Set task parameters

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER(:task_name, 'STORAGE_CHANGE', 100);

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER(:task_name, 'ANALYSIS_SCOPE, INDEX');

Step 6   Create a link between the SQL tuning set and the task

EXECUTE DBMS_ADVISOR.ADD_STS_REF(:task_name, :workload_name);

Step 7   Execute the task

EXECUTE DBMS_ADVISOR.EXECUTE_TASK(:task_name);

Step 8   View the recommendations

-- See the number of recommendations and the status of the task.

SELECT rec_id, rank, benefit
FROM user_advisor_recommendations WHERE task_name = :task_name;

See "Viewing Recommendations" or "Generating SQL Scripts" for further details.

-- See recommendation for each query.
SELECT sql_id, rec_id, precost, postcost,
      (precost-postcost)*100/precost AS percent_benefit
FROM user_advisor_sqla_wk_stmts
WHERE task_name = :task_name AND workload_name = :workload_name;

-- See the actions for each recommendations.
SELECT rec_id, action_id, SUBSTR(command,1,30) AS command
FROM user_advisor_actions
WHERE task_name = :task_name
ORDER BY rec_id, action_id;

-- See what the actions are using sample procedure.
SET SERVEROUTPUT ON SIZE 99999
EXECUTE show_recm(:task_name);

Step 9   Generate a script to Implement the recommendations

EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT(:task_name),
                                 'ADVISOR_RESULTS', 'Example1_script.sql');

18.2.9.2 Generate Recommendations Using a Task Template

The following example creates a template and then uses it to create a task. It then uses this task to generate recommendations from a user-defined table, similar to "Recommendations From a User-Defined Workload".

CONNECT SH/SH;
VARIABLE template_id NUMBER;
VARIABLE template_name VARCHAR2(255);

Step 1   Create a template called MY_TEMPLATE

EXECUTE :template_name := 'MY_TEMPLATE';

EXECUTE DBMS_ADVISOR.CREATE_TASK ( -
   'SQL Access Advisor',:template_id, :template_name, is_template=>'TRUE');

Step 2   Set template parameters

Set naming conventions for recommended indexes and materialized views.

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name,  'INDEX_NAME_TEMPLATE', 'SH_IDX$$_<SEQ>');
EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name, 'MVIEW_NAME_TEMPLATE', 'SH_MV$$_<SEQ>');

--Set default owners for recommended indexes/materialized views.
EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name, 'DEF_INDEX_OWNER', 'SH');
EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name, 'DEF_MVIEW_OWNER', 'SH');

--Set default tablespace for recommended indexes/materialized views.
EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name, 'DEF_INDEX_TABLESPACE', 'SH_INDEXES');
EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER ( -
   :template_name, 'DEF_MVIEW_TABLESPACE', 'SH_MVIEWS');

Step 3   Create a task using the template

VARIABLE task_id NUMBER;

VARIABLE task_name VARCHAR2(255);
EXECUTE :task_name := 'MYTASK';
EXECUTE DBMS_ADVISOR.CREATE_TASK ( -
   'SQL Access Advisor', :task_id, :task_name, template => 'MY_TEMPLATE');

--See the parameter settings for task
SELECT parameter_name, parameter_value
FROM user_advisor_parameters
WHERE task_name = :task_name AND (parameter_name LIKE '%MVIEW%' 
   OR parameter_name LIKE '%INDEX%');

Step 4   Create a SQL tuning set named MYWORKLOAD

EXECUTE :workload_name := 'MYWORKLOAD';
EXECUTE DBMS_SQLTUNE.CREATE_SQLSET(:workload_name, 'test_purpose');

Step 5   Load the SQL tuning set from the user-defined table SH.USER_WORKLOAD

DECLARE
   sqlset_cur DBMS_SQLTUNE.SQLSET_CURSOR;  /*a sqlset cursor variable*/
BEGIN
OPEN sqlset_cur FOR
   SELECT
   SQLSET_ROW(null,sql_text,null,null,username, null, null, 0,0,0,0,0,0,0,0,0,
      null,0,0,00) AS row
   FROM user_workload;
DBMS_SQLTUNE.LOAD_SQLSET(:workload_name, sqlsetcur);
END;

Step 6   Create a link between the workload and the task

EXECUTE DBMS_ADVISOR.ADD_STS_REF(:task_name, :workload_name);

Step 7   Execute the task

EXECUTE DBMS_ADVISOR.EXECUTE_TASK(:task_name);

Step 8   Generate a script

EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT(:task_name),-

                                 'ADVISOR_RESULTS', 'Example2_script.sql');

18.2.9.3 Evaluate Current Usage of Indexes and Materialized Views

This example illustrates how you can use SQL Access Advisor to evaluate the utilization of existing indexes and materialized views. We assume the workload is loaded into USER_WORKLOAD table as in "Recommendations From a User-Defined Workload". The indexes and materialized views that the given workload are using appear as RETAIN actions in SQL Access Advisor recommendations.

VARIABLE task_id NUMBER;
VARIABLE task_name VARCHAR2(255);
VARIABLE workload_name VARCHAR2(255);

Step 1   Create a SQL tuning set named WORKLOAD

EXECUTE :workload_name := 'MYWORKLOAD';

EXECUTE DBMS_SQLTUNE.CREATE_SQLSET(:workload_name, 'test_purpose');

Step 2   Load the SQL tuning set from the user-defined table SH.USER_WORKLOAD

DECLARE
  sqlset_cur DBMS_SQLTUNE.SQLSET_CURSOR;  /*a sqlset cursor variable*/
BEGIN
OPEN sqlset_cur FOR
SELECT
  SQLSET_ROW(null,sql_text,null,null,username, null, null, 0,0,0,0,0,0,0,0,0,
   null, 0,0,0,0)
    AS ROW
  FROM user_workload;
DBMS_SQLTUNE.LOAD_SQLSET(:workload_name, :sqlsetcur);
END;

Step 3   Create a task named MY_EVAL_TASK

EXECUTE :task_name := 'MY_EVAL_TASK';

EXECUTE DBMS_ADVISOR.CREATE_TASK ('SQL Access Advisor', :task_id, :task_name);

Step 4   Create a link between workload and task

EXECUTE DBMS_ADVISOR.ADD_STS_REF(:task_name, :workload_name);

Step 5   Set task parameters to indicate EVALUATION ONLY task

EXECUTE DBMS_ADVISOR.SET_TASK_PARAMETER (:task_name, 'EVALUATION_ONLY', 'TRUE');

Step 6   Execute the task

EXECUTE DBMS_ADVISOR.EXECUTE_TASK(:task_name);

Step 7   View evaluation results

--See the number of recommendations and the status of the task.

SELECT rec_id, rank, benefit
FROM user_advisor_recommendations WHERE task_name = :task_name;

--See the actions for each recommendation.
SELECT rec_id, action_id, SUBSTR(command,1,30) AS command, attr1 AS name
FROM user_advisor_actions WHERE task_name = :task_name
ORDER BY rec_id, action_id;

18.3.1.1 TUNE_MVIEW Syntax and Operations

The syntax for TUNE_MVIEW is as follows:

DBMS_ADVISOR.TUNE_MVIEW (
  task_name IN OUT VARCHAR2, mv_create_stmt IN [CLOB | VARCHAR2])

The TUNE_MVIEW procedure takes two input parameters: task_name and mv_create_stmt. task_name is a user-provided task identifier used to access the output results. mv_create_stmt is a complete CREATE MATERIALIZED VIEW statement that is to be tuned. If the input CREATE MATERIALIZED VIEW statement does not have the clauses of REFRESH FAST or ENABLE QUERY REWRITE, or both, then TUNE_MVIEW uses the default clauses REFRESH FORCE and DISABLE QUERY REWRITE to tune the statement to be fast refreshable if possible or only complete refreshable otherwise.

The TUNE_MVIEW procedure handles a broad range of CREATE MATERIALIZED VIEW statements that can have arbitrary defining queries in them. The defining query could be a simple SELECT statement or a complex query with set operators or inline views. When the defining query of the materialized view contains the clause REFRESH FAST, TUNE_MVIEW analyzes the query and checks to see if it is fast refreshable. If it is fast refreshable, the procedure returns a message saying "the materialized view is optimal and cannot be further tuned." Otherwise, the TUNE_MVIEW procedure starts the tuning work on the given statement.

The TUNE_MVIEW procedure can generate the output statements that correct the defining query by adding extra columns such as required aggregate columns or fix the materialized view logs so that FAST REFRESH is possible. In the case of a complex defining query, the TUNE_MVIEW procedure may decompose the query and generates two or more fast refreshable materialized views or restate the materialized view in a way to fulfill fast refresh requirements as much as possible. The TUNE_MVIEW procedure supports defining queries with the following complex query constructs:

• Set operators (UNION, UNION ALL, MINUS, and INTERSECT)

• COUNT DISTINCT

• SELECT DISTINCT

• Inline views

When the ENABLE QUERY REWRITE clause is specified, TUNE_MVIEW also fixes the statement using a process similar to REFRESH FAST. The procedure redefines the materialized view so that as many of the advanced forms of query rewrite are possible.

The TUNE_MVIEW procedure generates two sets of output results as executable statements. One set of the output (IMPLEMENTATION) is for implementing materialized views and required components such as materialized view logs or rewrite equivalences to achieve fast refreshability and query rewritablity as much as possible. The other set of the output (UNDO) is for dropping the materialized views and the rewrite equivalences in case you decide they are not required.

The output statements for the IMPLEMENTATION process include:

• CREATE MATERIALIZED VIEW LOG statements: creates any missing materialized view logs required for fast refresh.

• ALTER MATERIALIZED VIEW LOG FORCE statements: fixes any materialized view log related requirements such as missing filter columns, sequence, and so on, required for fast refresh.

• One or more CREATE MATERIALIZED VIEW statements: In the case of one output statement, the original defining query is directly restated and transformed. Simple query transformation could be just adding required columns. For example, add rowid column for materialized join view and add aggregate column for materialized aggregate view. In the case of decomposition, multiple CREATE MATERIALIZED VIEW statements are generated and form a nested materialized view hierarchy in which one or more submaterialized views are referenced by a new top-level materialized view modified from the original statement. This is to achieve fast refresh and query rewrite as much as possible. Submaterialized views are often fast refreshable.

• BUILD_SAFE_REWRITE_EQUIVALENCE statement: enables the rewrite of top-level materialized views using submaterialized views. It is required to enable query rewrite when a composition occurs.

Note that the decomposition result implies no sharing of submaterialized views. That is, in the case of decomposition, the TUNE_MVIEW output always contains new submaterialized view. It does not reference existing materialized views.

The output statements for the UNDO process include:

• DROP MATERIALIZED VIEW statements to reverse the materialized view creations (including submaterialized views) in the IMPLEMENTATION process.

• DROP_REWRITE_EQUIVALENCE statement to remove the rewrite equivalence relationship built in the IMPLEMENTATION process if needed.

Note that the UNDO process does not include the statement to drop materialized view logs. Many different materialized views can share materialized view logs. Some of these logs may reside on remote Oracle database instances.

18.3.1.2 Accessing TUNE_MVIEW Output Results

There are two ways to access TUNE_MVIEW output results:

• Script generation using DBMS_ADVISOR.GET_TASK_SCRIPT function and DBMS_ADVISOR.CREATE_FILE procedure.

• Use USER_TUNE_MVIEW or DBA_TUNE_MVIEW views.

CREATE DIRECTORY TUNE_RESULTS AS  '/tmp/script_dir';
GRANT READ, WRITE ON DIRECTORY TUNE_RESULTS TO PUBLIC;

EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT(:task_name),- 
      'TUNE_RESULTS', 'mv_create.sql'); 
EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT(:task_name, - 
      'UNDO'), 'TUNE_RESULTS', 'mv_undo.sql');

VARIABLE task_cust_mv VARCHAR2(30);
VARIABLE create_mv_ddl VARCHAR2(4000);
EXECUTE :task_cust_mv := 'cust_mv';

EXECUTE :create_mv_ddl := '
CREATE MATERIALIZED VIEW cust_mv
REFRESH FAST
DISABLE QUERY REWRITE AS
SELECT s.prod_id, s.cust_id, SUM(s.amount_sold) sum_amount
FROM sales s, customers cs
WHERE s.cust_id = cs.cust_id
GROUP BY s.prod_id, s.cust_id';

EXECUTE DBMS_ADVISOR.TUNE_MVIEW(:task_cust_mv, :create_mv_ddl);

CREATE MATERIALIZED VIEW SH.CUST_MV
REFRESH FAST WITH ROWID
DISABLE QUERY REWRITE AS
SELECT SH.SALES.PROD_ID C1, SH.CUSTOMERS.CUST_ID C2,
          SUM("SH"."SALES"."AMOUNT_SOLD") M1,
          COUNT("SH"."SALES"."AMOUNT_SOLD") M2,
          COUNT(*) M3
     FROM SH.SALES, SH.CUSTOMERS
     WHERE SH.CUSTOMERS.CUST_ID = SH.SALES.CUST_ID
     GROUP BY SH.SALES.PROD_ID, SH.CUSTOMERS.CUST_ID;

DROP MATERIALIZED VIEW SH.CUST_MV;

SELECT STATEMENT FROM USER_TUNE_MVIEW
WHERE TASK_NAME= :task_cust_mv AND SCRIPT_TYPE='IMPLEMENTATION';

CREATE DIRECTORY TUNE_RESULTS AS '/myscript'
GRANT READ, WRITE ON DIRECTORY TUNE_RESULTS TO PUBLIC;

EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT(:task_cust_mv), -
   'TUNE_RESULTS', 'mv_create.sql');

EXECUTE :task_cust_mv := 'cust_mv2';

EXECUTE :create_mv_ddl := '
CREATE MATERIALIZED VIEW cust_mv
ENABLE QUERY REWRITE AS
SELECT s.prod_id, s.cust_id, COUNT(*) cnt, SUM(s.amount_sold) sum_amount
FROM sales s, customers cs, countries cn
WHERE s.cust_id = cs.cust_id AND cs.country_id = cn.country_id
AND cn.country_name IN (''USA'',''Canada'')
GROUP BY s.prod_id, s.cust_id
UNION
SELECT s.prod_id, s.cust_id, COUNT(*) cnt, SUM(s.amount_sold) sum_amount
FROM sales s, customers cs
WHERE s.cust_id = cs.cust_id AND s.cust_id IN (1005,1010,1012)
GROUP BY s.prod_id, s.cust_id';

EXECUTE DBMS_ADVISOR.TUNE_MVIEW(:task_cust_mv, :create_mv_ddl);

CREATE MATERIALIZED VIEW LOG ON "SH"."CUSTOMERS" 
WITH ROWID, SEQUENCE("CUST_ID")
    INCLUDING NEW VALUES;

ALTER MATERIALIZED VIEW LOG FORCE ON
    "SH"."CUSTOMERS"
    ADD ROWID, SEQUENCE("CUST_ID")
    INCLUDING NEW VALUES;

CREATE MATERIALIZED VIEW LOG ON
    "SH"."SALES"
    WITH ROWID, SEQUENCE("PROD_ID","CUST_ID","AMOUNT_SOLD")
    INCLUDING NEW VALUES;

ALTER MATERIALIZED VIEW LOG FORCE ON
    "SH"."SALES"
    ADD ROWID, SEQUENCE("PROD_ID","CUST_ID","AMOUNT_SOLD")
    INCLUDING NEW VALUES;

CREATE MATERIALIZED VIEW LOG ON
    "SH"."COUNTRIES"
    WITH ROWID, SEQUENCE("COUNTRY_ID","COUNTRY_NAME")
    INCLUDING NEW VALUES;

ALTER MATERIALIZED VIEW LOG FORCE ON
    "SH"."COUNTRIES"
    ADD ROWID, SEQUENCE("COUNTRY_ID","COUNTRY_NAME")
    INCLUDING NEW VALUES;

ALTER MATERIALIZED VIEW LOG FORCE ON
    "SH"."CUSTOMERS"
    ADD ROWID, SEQUENCE("CUST_ID","COUNTRY_ID")
    INCLUDING NEW VALUES;

ALTER MATERIALIZED VIEW LOG FORCE ON
    "SH"."SALES"
    ADD ROWID, SEQUENCE("PROD_ID","CUST_ID","AMOUNT_SOLD")
    INCLUDING NEW VALUES;

CREATE MATERIALIZED VIEW SH.CUST_MV$SUB1
    REFRESH FAST WITH ROWID ON COMMIT
    ENABLE QUERY REWRITE
    AS SELECT SH.SALES.PROD_ID C1, SH.CUSTOMERS.CUST_ID C2,
 SUM("SH"."SALES"."AMOUNT_SOLD")
        M1, COUNT("SH"."SALES"."AMOUNT_SOLD") M2, COUNT(*) M3 FROM SH.SALES,
        SH.CUSTOMERS WHERE SH.CUSTOMERS.CUST_ID = SH.SALES.CUST_ID AND
 (SH.SALES.CUST_ID IN (1012, 1010, 1005)) 
GROUP BY SH.SALES.PROD_ID, SH.CUSTOMERS.CUST_ID;

CREATE MATERIALIZED VIEW SH.CUST_MV$SUB2
    REFRESH FAST WITH ROWID ON COMMIT
    ENABLE QUERY REWRITE
    AS SELECT SH.SALES.PROD_ID C1, SH.CUSTOMERS.CUST_ID C2,
      SH.COUNTRIES.COUNTRY_NAME  C3, SUM("SH"."SALES"."AMOUNT_SOLD") M1, COUNT("SH"."SALES".
"AMOUNT_SOLD")
        M2, COUNT(*) M3 FROM SH.SALES, SH.CUSTOMERS, SH.COUNTRIES WHERE
 SH.CUSTOMERS.CUST_ID        = SH.SALES.CUST_ID AND SH.COUNTRIES.COUNTRY_ID = SH.CUSTOMERS.COUNTRY_ID
        AND (SH.COUNTRIES.COUNTRY_NAME IN ('USA', 'Canada')) GROUP BY
 SH.SALES.PROD_ID,
        SH.CUSTOMERS.CUST_ID, SH.COUNTRIES.COUNTRY_NAME;

CREATE MATERIALIZED VIEW SH.CUST_MV
    REFRESH FORCE WITH ROWID
    ENABLE QUERY REWRITE
    AS  (SELECT "CUST_MV$SUB2"."C1" "PROD_ID","CUST_MV$SUB2"."C2" 
"CUST_ID",SUM("CUST_MV$SUB2"."M3")
        "CNT",SUM("CUST_MV$SUB2"."M1") "SUM_AMOUNT" FROM "SH"."CUST_MV$SUB2"
        "CUST_MV$SUB2" GROUP BY "CUST_MV$SUB2"."C1","CUST_MV$SUB2"."C2")UNION
        (SELECT "CUST_MV$SUB1"."C1" "PROD_ID","CUST_MV$SUB1"."C2" 
"CUST_ID",SUM("CUST_MV$SUB1"."M3")
        "CNT",SUM("CUST_MV$SUB1"."M1") "SUM_AMOUNT" FROM "SH"."CUST_MV$SUB1"
        "CUST_MV$SUB1" GROUP BY "CUST_MV$SUB1"."C1","CUST_MV$SUB1"."C2");

BEGIN
DBMS_ADVANCED_REWRITE.BUILD_SAFE_REWRITE_EQUIVALENCE ('SH.CUST_MV$RWEQ',
  'SELECT s.prod_id, s.cust_id, COUNT(*) cnt,
          SUM(s.amount_sold) sum_amount
   FROM sales s, customers cs, countries cn
   WHERE s.cust_id = cs.cust_id AND cs.country_id = cn.country_id
         AND cn.country_name IN (''USA'',''Canada'')
   GROUP BY s.prod_id, s.cust_id
   UNION
   SELECT s.prod_id, s.cust_id, COUNT(*) cnt,
          SUM(s.amount_sold) sum_amount
   FROM sales s, customers cs
   WHERE s.cust_id = cs.cust_id AND s.cust_id IN (1005,1010,1012)
   GROUP BY s.prod_id, s.cust_id',
  '(SELECT "CUST_MV$SUB2"."C3" "PROD_ID","CUST_MV$SUB2"."C2" "CUST_ID",
           SUM("CUST_MV$SUB2"."M3") "CNT",
           SUM("CUST_MV$SUB2"."M1") "SUM_AMOUNT" 
    FROM "SH"."CUST_MV$SUB2" "CUST_MV$SUB2"
    GROUP BY "CUST_MV$SUB2"."C3","CUST_MV$SUB2"."C2")
   UNION
   (SELECT "CUST_MV$SUB1"."C2" "PROD_ID","CUST_MV$SUB1"."C1" "CUST_ID",
           "CUST_MV$SUB1"."M3" "CNT","CUST_MV$SUB1"."M1" "SUM_AMOUNT"
    FROM "SH"."CUST_MV$SUB1" "CUST_MV$SUB1")',-1553577441)
END;
/;

DROP MATERIALIZED VIEW SH.CUST_MV$SUB1
DROP MATERIALIZED VIEW SH.CUST_MV$SUB2
DROP MATERIALIZED VIEW SH.CUST_MV
DBMS_ADVANCED_REWRITE.DROP_REWRITE_EQUIVALENCE('SH.CUST_MV$RWEQ')

SELECT * FROM USER_TUNE_MVIEW
WHERE TASK_NAME='cust_mv2'
AND SCRIPT_TYPE='IMPLEMENTATION';

CREATE DIRECTORY TUNE_RESULTS AS '/myscript'
GRANT READ, WRITE ON DIRECTRY TUNE_RESULTS TO PUBLIC;
EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT('cust_mv2'),
   'TUNE_RESULTS', 'mv_create2.sql');

18.3.1.3 Fast Refreshable with Optimized Sub-Materialized View

The example illustrates how TUNE_MVIEW can optimize the materialized view so that fast refresh is possible. In the example, the materialized view's defining query with set operators is transformed into one sub-materialized view and one top-level materialized view. The subselect queries in the original defining query are of similar shape and their predicate expressions are combined.

The materialized view defining query contains a UNION set-operator so that the materialized view itself is not fast-refreshable. However, you can combine two subselect queries in the materialized view defining query into one single query.

EXECUTE :task_cust_mv := 'cust_mv3';

EXECUTE :create_mv_ddl := '

CREATE MATERIALIZED VIEW cust_mv
REFRESH FAST ON DEMAND
ENABLE QUERY REWRITE AS
SELECT s.prod_id, s.cust_id, COUNT(*) cnt, SUM(s.amount_sold) sum_amount
FROM sales s, customers cs
WHERE s.cust_id = cs.cust_id AND s.cust_id IN (2005,1020)
GROUP BY s.prod_id, s.cust_id UNION
SELECT s.prod_id, s.cust_id, COUNT(*) cnt, SUM(s.amount_sold) sum_amount
FROM sales s, customers cs -
WHERE s.cust_id = cs.cust_id AND s.cust_id IN (1005,1010,1012)
GROUP BY s.prod_id, s.cust_id';

EXECUTE DBMS_ADVISOR.TUNE_MVIEW(:task_cust_mv, :create_mv_ddl);

The following recommendation will be made by TUNE_MVIEW with an optimized submaterialized view combining the two subselect queries. The submaterialized view is referenced by a new top-level materialized view as follows:

CREATE MATERIALIZED VIEW LOG ON "SH"."SALES" 
  WITH ROWID, SEQUENCE ("PROD_ID","CUST_ID","AMOUNT_SOLD")
  INCLUDING NEW VALUES

ALTER MATERIALIZED VIEW LOG FORCE ON "SH"."SALES"
  ADD ROWID, SEQUENCE ("PROD_ID","CUST_ID","AMOUNT_SOLD")
  INCLUDING NEW VALUES

CREATE MATERIALIZED VIEW LOG ON "SH"."CUSTOMERS" 
  WITH ROWID, SEQUENCE ("CUST_ID")  INCLUDING NEW VALUES

ALTER MATERIALIZED VIEW LOG FORCE ON "SH"."CUSTOMERS"
  ADD ROWID, SEQUENCE ("CUST_ID")  INCLUDING NEW VALUES

CREATE MATERIALIZED VIEW SH.CUST_MV$SUB1
  REFRESH FAST WITH ROWID
  ENABLE QUERY REWRITE AS
  SELECT SH.SALES.CUST_ID C1, SH.SALES.PROD_ID C2, 
    SUM("SH"."SALES"."AMOUNT_SOLD") M1, 
    COUNT("SH"."SALES"."AMOUNT_SOLD")M2, COUNT(*) M3 
    FROM SH.CUSTOMERS, SH.SALES
    WHERE SH.SALES.CUST_ID = SH.CUSTOMERS.CUST_ID AND
    (SH.SALES.CUST_ID IN (2005, 1020, 1012, 1010, 1005))
    GROUP BY SH.SALES.CUST_ID, SH.SALES.PROD_ID

CREATE MATERIALIZED VIEW SH.CUST_MV 
  REFRESH FORCE WITH ROWID ENABLE QUERY REWRITE AS
  (SELECT "CUST_MV$SUB1"."C2" "PROD_ID","CUST_MV$SUB1"."C1" "CUST_ID",
    "CUST_MV$SUB1"."M3" "CNT","CUST_MV$SUB1"."M1" "SUM_AMOUNT" 
    FROM "SH"."CUST_MV$SUB1" "CUST_MV$SUB1" 
    WHERE "CUST_MV$SUB1"."C1"=2005 OR "CUST_MV$SUB1"."C1"=1020)
    UNION 
    (SELECT "CUST_MV$SUB1"."C2" "PROD_ID","CUST_MV$SUB1"."C1" "CUST_ID",
      "CUST_MV$SUB1"."M3" "CNT","CUST_MV$SUB1"."M1" "SUM_AMOUNT" 
      FROM "SH"."CUST_MV$SUB1" "CUST_MV$SUB1" 
      WHERE "CUST_MV$SUB1"."C1"=1012 OR "CUST_MV$SUB1"."C1"=1010 OR 
            "CUST_MV$SUB1"."C1"=1005)
      
DBMS_ADVANCED_REWRITE.BUILD_SAFE_REWRITE_EQUIVALENCE ('SH.CUST_MV$RWEQ',
      'SELECT s.prod_id, s.cust_id, COUNT(*) cnt, 
       SUM(s.amount_sold) sum_amount
       FROM sales s, customers cs
       WHERE s.cust_id = cs.cust_id AND s.cust_id IN (2005,1020)
       GROUP BY s.prod_id, s.cust_id UNION
       SELECT s.prod_id, s.cust_id, COUNT(*) cnt,
       SUM(s.amount_sold) sum_amount
       FROM sales s, customers cs
       WHERE s.cust_id = cs.cust_id AND s.cust_id IN (1005,1010,1012)
       GROUP BY s.prod_id, s.cust_id',
      '(SELECT "CUST_MV$SUB1"."C2" "PROD_ID",
        "CUST_MV$SUB1"."C1" "CUST_ID",
        "CUST_MV$SUB1"."M3" "CNT","CUST_MV$SUB1"."M1" "SUM_AMOUNT" 
        FROM "SH"."CUST_MV$SUB1" "CUST_MV$SUB1" 
        WHERE "CUST_MV$SUB1"."C1"=2005OR "CUST_MV$SUB1"."C1"=1020)
       UNION
       (SELECT "CUST_MV$SUB1"."C2" "PROD_ID",
        "CUST_MV$SUB1"."C1" "CUST_ID",
        "CUST_MV$SUB1"."M3" "CNT","CUST_MV$SUB1"."M1" "SUM_AMOUNT"
        FROM "SH"."CUST_MV$SUB1" "CUST_MV$SUB1" 
        WHERE "CUST_MV$SUB1"."C1"=1012 OR "CUST_MV$SUB1"."C1"=1010 OR
              "CUST_MV$SUB1"."C1"=1005)',
      1811223110);

The original defining query of cust_mv has been optimized by combining the predicate of the two subselect queries in the sub-materialized view CUST_MV$SUB1. The required materialized view logs are also added to enable fast refresh of the submaterialized views.

The DROP output is as follows:

DROP MATERIALIZED VIEW SH.CUST_MV$SUB1
DROP MATERIALIZED VIEW SH.CUST_MV
DBMS_ADVANCED_REWRITE.DROP_REWRITE_EQUIVALENCE('SH.CUST_MV$RWEQ');

The following statements save the IMPLEMENTATION output in a script file located at /myscript/mv_create3.sql:

CREATE DIRECTORY TUNE_RESULTS AS '/myscript'
GRANT READ, WRITE ON DIRECTORY TUNE_RESULTS TO PUBLIC;
EXECUTE DBMS_ADVISOR.CREATE_FILE(DBMS_ADVISOR.GET_TASK_SCRIPT('cust_mv3'),
   'TUNE_RESULTS', 'mv_create3.sql');