This chapter describes schema object management issues that are common across multiple types of schema objects. The following topics are presented:
You can create several tables and views and grant privileges in one operation using the CREATE SCHEMA
statement. The CREATE SCHEMA
statement is useful if you want to guarantee the creation of several tables, views, and grants in one operation. If an individual table, view or grant fails, the entire statement is rolled back. None of the objects are created, nor are the privileges granted.
Specifically, the CREATE SCHEMA
statement can include only CREATE TABLE
, CREATE VIEW
, and GRANT
statements. You must have the privileges necessary to issue the included statements. You are not actually creating a schema, that is done when the user is created with a CREATE USER
statement. Rather, you are populating the schema.
The following statement creates two tables and a view that joins data from the two tables:
CREATE SCHEMA AUTHORIZATION scott CREATE TABLE dept ( deptno NUMBER(3,0) PRIMARY KEY, dname VARCHAR2(15), loc VARCHAR2(25)) CREATE TABLE emp ( empno NUMBER(5,0) PRIMARY KEY, ename VARCHAR2(15) NOT NULL, job VARCHAR2(10), mgr NUMBER(5,0), hiredate DATE DEFAULT (sysdate), sal NUMBER(7,2), comm NUMBER(7,2), deptno NUMBER(3,0) NOT NULL CONSTRAINT dept_fkey REFERENCES dept) CREATE VIEW sales_staff AS SELECT empno, ename, sal, comm FROM emp WHERE deptno = 30 WITH CHECK OPTION CONSTRAINT sales_staff_cnst GRANT SELECT ON sales_staff TO human_resources;
The CREATE SCHEMA
statement does not support Oracle Database extensions to the ANSI CREATE TABLE
and CREATE VIEW
statements, including the STORAGE
clause.
See Also:
Oracle Database SQL Reference for syntax and other information about theCREATE SCHEMA
statementYou analyze a schema object (table, index, or cluster) to:
Collect and manage statistics for it
Verify the validity of its storage format
Identify migrated and chained rows of a table or cluster
COMPUTE
and ESTIMATE
clauses of ANALYZE
to collect optimizer statistics. These clauses are supported for backward compatibility. Instead, use the DBMS_STATS
package, which lets you collect statistics in parallel, collect global statistics for partitioned objects, and fine tune your statistics collection in other ways. The cost-based optimizer, which depends upon statistics, will eventually use only statistics that have been collected by DBMS_STATS
. See Oracle Database PL/SQL Packages and Types Reference for more information on the DBMS_STATS
package.
You must use the ANALYZE
statement (rather than DBMS_STATS
) for statistics collection not related to the cost-based optimizer, such as:
To use the VALIDATE
or LIST
CHAINED
ROWS
clauses
To collect information on freelist blocks
The following topics are discussed in this section:
You can use the DBMS_STATS
package or the ANALYZE
statement to gather statistics about the physical storage characteristics of a table, index, or cluster. These statistics are stored in the data dictionary and can be used by the optimizer to choose the most efficient execution plan for SQL statements accessing analyzed objects.
Oracle recommends using the more versatile DBMS_STATS
package for gathering optimizer statistics, but you must use the ANALYZE
statement to collect statistics unrelated to the optimizer, such as empty blocks, average space, and so forth.
The DBMS_STATS
package allows both the gathering of statistics, including utilizing parallel execution, and the external manipulation of statistics. Statistics can be stored in tables outside of the data dictionary, where they can be manipulated without affecting the optimizer. Statistics can be copied between databases or backup copies can be made.
The following DBMS_STATS
procedures enable the gathering of optimizer statistics:
GATHER_INDEX_STATS
GATHER_TABLE_STATS
GATHER_SCHEMA_STATS
GATHER_DATABASE_STATS
See Also:
Oracle Database Performance Tuning Guide for information about using DBMS_STATS
to gather statistics for the optimizer
Oracle Database PL/SQL Packages and Types Reference for a description of the DBMS_STATS
package
To verify the integrity of the structure of a table, index, cluster, or materialized view, use the ANALYZE
statement with the VALIDATE STRUCTURE
option. If the structure is valid, no error is returned. However, if the structure is corrupt, you receive an error message.
For example, in rare cases such as hardware or other system failures, an index can become corrupted and not perform correctly. When validating the index, you can confirm that every entry in the index points to the correct row of the associated table. If the index is corrupt, you can drop and re-create it.
If a table, index, or cluster is corrupt, you should drop it and re-create it. If a materialized view is corrupt, perform a complete refresh and ensure that you have remedied the problem. If the problem is not corrected, drop and re-create the materialized view.
The following statement analyzes the emp
table:
ANALYZE TABLE emp VALIDATE STRUCTURE;
You can validate an object and all related objects (for example, indexes) by including the CASCADE
option. The following statement validates the emp
table and all associated indexes:
ANALYZE TABLE emp VALIDATE STRUCTURE CASCADE;
You can specify that you want to perform structure validation online while DML is occurring against the object being validated. There can be a slight performance impact when validating with ongoing DML affecting the object, but this is offset by the flexibility of being able to perform ANALYZE
online. The following statement validates the emp
table and all associated indexes online:
ANALYZE TABLE emp VALIDATE STRUCTURE CASCADE ONLINE;
You can look at the chained and migrated rows of a table or cluster using the ANALYZE
statement with the LIST
CHAINED
ROWS
clause. The results of this statement are stored in a specified table created explicitly to accept the information returned by the LIST
CHAINED
ROWS
clause. These results are useful in determining whether you have enough room for updates to rows.
To create the table to accept data returned by an ANALYZE...LIST
CHAINED
ROWS
statement, execute the UTLCHAIN.SQL
or UTLCHN1.SQL
script. These scripts are provided by the database. They create a table named CHAINED_ROWS
in the schema of the user submitting the script.
Note:
Your choice of script to execute for creating theCHAINED_ROWS
table is dependent upon the compatibility level of your database and the type of table you are analyzing. See the Oracle Database SQL Reference for more information.After a CHAINED_ROWS
table is created, you specify it in the INTO
clause of the ANALYZE
statement. For example, the following statement inserts rows containing information about the chained rows in the emp_dept
cluster into the CHAINED_ROWS
table:
ANALYZE CLUSTER emp_dept LIST CHAINED ROWS INTO CHAINED_ROWS;
See Also:
Oracle Database Reference for a description of the CHAINED_ROWS
table
"Using the Segment Advisor" for information on how the Segment Advisor reports tables with excess row chaining.
You can use the information in the CHAINED_ROWS
table to reduce or eliminate migrated and chained rows in an existing table. Use the following procedure.
Use the ANALYZE
statement to collect information about migrated and chained rows.
ANALYZE TABLE order_hist LIST CHAINED ROWS;
Query the output table:
SELECT * FROM CHAINED_ROWS WHERE TABLE_NAME = 'ORDER_HIST'; OWNER_NAME TABLE_NAME CLUST... HEAD_ROWID TIMESTAMP ---------- ---------- -----... ------------------ --------- SCOTT ORDER_HIST ... AAAAluAAHAAAAA1AAA 04-MAR-96 SCOTT ORDER_HIST ... AAAAluAAHAAAAA1AAB 04-MAR-96 SCOTT ORDER_HIST ... AAAAluAAHAAAAA1AAC 04-MAR-96
The output lists all rows that are either migrated or chained.
If the output table shows that you have many migrated or chained rows, then you can eliminate migrated rows by continuing through the following steps:
Create an intermediate table with the same columns as the existing table to hold the migrated and chained rows:
CREATE TABLE int_order_hist AS SELECT * FROM order_hist WHERE ROWID IN (SELECT HEAD_ROWID FROM CHAINED_ROWS WHERE TABLE_NAME = 'ORDER_HIST');
Delete the migrated and chained rows from the existing table:
DELETE FROM order_hist WHERE ROWID IN (SELECT HEAD_ROWID FROM CHAINED_ROWS WHERE TABLE_NAME = 'ORDER_HIST');
Insert the rows of the intermediate table into the existing table:
INSERT INTO order_hist SELECT * FROM int_order_hist;
Drop the intermediate table:
DROP TABLE int_order_history;
Delete the information collected in step 1 from the output table:
DELETE FROM CHAINED_ROWS WHERE TABLE_NAME = 'ORDER_HIST';
Use the ANALYZE
statement again, and query the output table.
Any rows that appear in the output table are chained. You can eliminate chained rows only by increasing your data block size. It might not be possible to avoid chaining in all situations. Chaining is often unavoidable with tables that have a LONG
column or large CHAR
or VARCHAR2
columns.
You can delete all rows of a table or all rows in a group of clustered tables so that the table (or cluster) still exists, but is completely empty. For example, consider a table that contains monthly data, and at the end of each month, you need to empty it (delete all rows) after archiving its data.
To delete all rows from a table, you have the following options:
Use the DELETE
statement.
Use the DROP
and CREATE
statements.
Use the TRUNCATE
statement.
These options are discussed in the following sections
You can delete the rows of a table using the DELETE
statement. For example, the following statement deletes all rows from the emp
table:
DELETE FROM emp;
If there are many rows present in a table or cluster when using the DELETE
statement, significant system resources are consumed as the rows are deleted. For example, CPU time, redo log space, and undo segment space from the table and any associated indexes require resources. Also, as each row is deleted, triggers can be fired. The space previously allocated to the resulting empty table or cluster remains associated with that object. With DELETE
you can choose which rows to delete, whereas TRUNCATE
and DROP
affect the entire object.
You can drop a table and then re-create the table. For example, the following statements drop and then re-create the emp
table:
DROP TABLE emp; CREATE TABLE emp ( ... );
When dropping and re-creating a table or cluster, all associated indexes, integrity constraints, and triggers are also dropped, and all objects that depend on the dropped table or clustered table are invalidated. Also, all grants for the dropped table or clustered table are dropped.
You can delete all rows of the table using the TRUNCATE
statement. For example, the following statement truncates the emp
table:
TRUNCATE TABLE emp;
Using the TRUNCATE
statement provides a fast, efficient method for deleting all rows from a table or cluster. A TRUNCATE
statement does not generate any undo information and it commits immediately. It is a DDL statement and cannot be rolled back. A TRUNCATE
statement does not affect any structures associated with the table being truncated (constraints and triggers) or authorizations. A TRUNCATE
statement also specifies whether space currently allocated for the table is returned to the containing tablespace after truncation.
You can truncate any table or cluster in your own schema. Any user who has the DROP ANY TABLE
system privilege can truncate a table or cluster in any schema.
Before truncating a table or clustered table containing a parent key, all referencing foreign keys in different tables must be disabled. A self-referential constraint does not have to be disabled.
As a TRUNCATE
statement deletes rows from a table, triggers associated with the table are not fired. Also, a TRUNCATE
statement does not generate any audit information corresponding to DELETE
statements if auditing is enabled. Instead, a single audit record is generated for the TRUNCATE
statement being issued. See the Oracle Database Security Guide for information about auditing.
A hash cluster cannot be truncated, nor can tables within a hash or index cluster be individually truncated. Truncation of an index cluster deletes all rows from all tables in the cluster. If all the rows must be deleted from an individual clustered table, use the DELETE
statement or drop and re-create the table.
The REUSE STORAGE
or DROP STORAGE
options of the TRUNCATE
statement control whether space currently allocated for a table or cluster is returned to the containing tablespace after truncation. The default option, DROP STORAGE
, reduces the number of extents allocated to the resulting table to the original setting for MINEXTENTS
. Freed extents are then returned to the system and can be used by other objects.
Alternatively, the REUSE STORAGE
option specifies that all space currently allocated for the table or cluster remains allocated to it. For example, the following statement truncates the emp_dept
cluster, leaving all extents previously allocated for the cluster available for subsequent inserts and deletes:
TRUNCATE CLUSTER emp_dept REUSE STORAGE;
The REUSE
or DROP STORAGE
option also applies to any associated indexes. When a table or cluster is truncated, all associated indexes are also truncated. The storage parameters for a truncated table, cluster, or associated indexes are not changed as a result of the truncation.
See Also:
Oracle Database SQL Reference for syntax and other information about theTRUNCATE TABLE
and TRUNCATE CLUSTER
statementsDatabase triggers are procedures that are stored in the database and activated ("fired") when specific conditions occur, such as adding a row to a table. You can use triggers to supplement the standard capabilities of the database to provide a highly customized database management system. For example, you can create a trigger to restrict DML operations against a table, allowing only statements issued during regular business hours.
Database triggers can be associated with a table, schema, or database. They are implicitly fired when:
DML statements are executed (INSERT
, UPDATE
, DELETE
) against an associated table
Certain DDL statements are executed (for example: ALTER
, CREATE
, DROP
) on objects within a database or schema
A specified database event occurs (for example: STARTUP
, SHUTDOWN
, SERVERERROR
)
This is not a complete list. See the Oracle Database SQL Reference for a full list of statements and database events that cause triggers to fire
Create triggers with the CREATE TRIGGER
statement. They can be defined as firing BEFORE
or AFTER
the triggering event, or INSTEAD OF
it. The following statement creates a trigger scott.emp_permit_changes
on table scott.emp
. The trigger fires before any of the specified statements are executed.
CREATE TRIGGER scott.emp_permit_changes
BEFORE
DELETE OR INSERT OR UPDATE
ON scott.emp
.
.
.
pl/sql block
.
.
.
You can later remove a trigger from the database by issuing the DROP TRIGGER
statement.
A trigger can be in either of two distinct modes:
Enabled
An enabled trigger executes its trigger body if a triggering statement is issued and the trigger restriction, if any, evaluates to true. By default, triggers are enabled when first created.
Disabled
A disabled trigger does not execute its trigger body, even if a triggering statement is issued and the trigger restriction (if any) evaluates to true.
To enable or disable triggers using the ALTER TABLE
statement, you must own the table, have the ALTER
object privilege for the table, or have the ALTER ANY TABLE
system privilege. To enable or disable an individual trigger using the ALTER TRIGGER
statement, you must own the trigger or have the ALTER ANY TRIGGER
system privilege.
See Also:
Oracle Database Concepts for a more detailed description of triggers
Oracle Database SQL Reference for syntax of the CREATE TRIGGER
statement
Oracle Database Application Developer's Guide - Fundamentals for information about creating and using triggers
You enable a disabled trigger using the ALTER TRIGGER
statement with the ENABLE
option. To enable the disabled trigger named reorder
on the inventory
table, enter the following statement:
ALTER TRIGGER reorder ENABLE;
To enable all triggers defined for a specific table, use the ALTER TABLE
statement with the ENABLE ALL TRIGGERS
option. To enable all triggers defined for the INVENTORY
table, enter the following statement:
ALTER TABLE inventory ENABLE ALL TRIGGERS;
See Also:
Oracle Database SQL Reference for syntax and other information about theALTER TRIGGER
statementConsider temporarily disabling a trigger if one of the following conditions is true:
An object that the trigger references is not available.
You must perform a large data load and want it to proceed quickly without firing triggers.
You are loading data into the table to which the trigger applies.
You disable a trigger using the ALTER TRIGGER
statement with the DISABLE
option. To disable the trigger reorder
on the inventory
table, enter the following statement:
ALTER TRIGGER reorder DISABLE;
You can disable all triggers associated with a table at the same time using the ALTER TABLE
statement with the DISABLE ALL TRIGGERS
option. For example, to disable all triggers defined for the inventory
table, enter the following statement:
ALTER TABLE inventory DISABLE ALL TRIGGERS;
Integrity constraints are rules that restrict the values for one or more columns in a table. Constraint clauses can appear in either CREATE TABLE
or ALTER TABLE
statements, and identify the column or columns affected by the constraint and identify the conditions of the constraint.
This section discusses the concepts of constraints and identifies the SQL statements used to define and manage integrity constraints. The following topics are contained in this section:
Modifying, Renaming, or Dropping Existing Integrity Constraints
Viewing Constraint Information
See Also:
Oracle Database Concepts for a more thorough discussion of integrity constraints
Oracle Database Application Developer's Guide - Fundamentals for detailed information and examples of using integrity constraints in applications
You can specify that a constraint is enabled (ENABLE
) or disabled (DISABLE
). If a constraint is enabled, data is checked as it is entered or updated in the database, and data that does not conform to the constraint is prevented from being entered. If a constraint is disabled, then data that does not conform can be allowed to enter the database.
Additionally, you can specify that existing data in the table must conform to the constraint (VALIDATE
). Conversely, if you specify NOVALIDATE
, you are not ensured that existing data conforms.
An integrity constraint defined on a table can be in one of the following states:
ENABLE
, VALIDATE
ENABLE
, NOVALIDATE
DISABLE
, VALIDATE
DISABLE
, NOVALIDATE
For details about the meaning of these states and an understanding of their consequences, see the Oracle Database SQL Reference. Some of these consequences are discussed here.
To enforce the rules defined by integrity constraints, the constraints should always be enabled. However, consider temporarily disabling the integrity constraints of a table for the following performance reasons:
When loading large amounts of data into a table
When performing batch operations that make massive changes to a table (for example, changing every employee's number by adding 1000 to the existing number)
When importing or exporting one table at a time
In all three cases, temporarily disabling integrity constraints can improve the performance of the operation, especially in data warehouse configurations.
It is possible to enter data that violates a constraint while that constraint is disabled. Thus, you should always enable the constraint after completing any of the operations listed in the preceding bullet list.
While a constraint is enabled, no row violating the constraint can be inserted into the table. However, while the constraint is disabled such a row can be inserted. This row is known as an exception to the constraint. If the constraint is in the enable novalidated state, violations resulting from data entered while the constraint was disabled remain. The rows that violate the constraint must be either updated or deleted in order for the constraint to be put in the validated state.
You can identify exceptions to a specific integrity constraint while attempting to enable the constraint. See "Reporting Constraint Exceptions". All rows violating constraints are noted in an EXCEPTIONS
table, which you can examine.
When a constraint is in the enable novalidate state, all subsequent statements are checked for conformity to the constraint. However, any existing data in the table is not checked. A table with enable novalidated constraints can contain invalid data, but it is not possible to add new invalid data to it. Enabling constraints in the novalidated state is most useful in data warehouse configurations that are uploading valid OLTP data.
Enabling a constraint does not require validation. Enabling a constraint novalidate is much faster than enabling and validating a constraint. Also, validating a constraint that is already enabled does not require any DML locks during validation (unlike validating a previously disabled constraint). Enforcement guarantees that no violations are introduced during the validation. Hence, enabling without validating enables you to reduce the downtime typically associated with enabling a constraint.
Using integrity constraint states in the following order can ensure the best benefits:
Disable state.
Perform the operation (load, export, import).
Enable novalidate state.
Enable state.
Some benefits of using constraints in this order are:
No locks are held.
All constraints can go to enable state concurrently.
Constraint enabling is done in parallel.
Concurrent activity on table is permitted.
When an integrity constraint is defined in a CREATE TABLE
or ALTER TABLE
statement, it can be enabled, disabled, or validated or not validated as determined by your specification of the ENABLE
/DISABLE
clause. If the ENABLE
/DISABLE
clause is not specified in a constraint definition, the database automatically enables and validates the constraint.
The following CREATE TABLE
and ALTER TABLE
statements both define and disable integrity constraints:
CREATE TABLE emp ( empno NUMBER(5) PRIMARY KEY DISABLE, . . . ; ALTER TABLE emp ADD PRIMARY KEY (empno) DISABLE;
An ALTER TABLE
statement that defines and disables an integrity constraint never fails because of rows in the table that violate the integrity constraint. The definition of the constraint is allowed because its rule is not enforced.
The following CREATE TABLE
and ALTER TABLE
statements both define and enable integrity constraints:
CREATE TABLE emp ( empno NUMBER(5) CONSTRAINT emp.pk PRIMARY KEY, . . . ; ALTER TABLE emp ADD CONSTRAINT emp.pk PRIMARY KEY (empno);
An ALTER TABLE
statement that defines and attempts to enable an integrity constraint can fail because rows of the table violate the integrity constraint. If this case, the statement is rolled back and the constraint definition is not stored and not enabled.
When you enable a UNIQUE
or PRIMARY KEY
constraint an associated index is created.
Note:
An efficient procedure for enabling a constraint that can make use of parallelism is described in "Efficient Use of Integrity Constraints: A Procedure".You can use the ALTER TABLE
statement to enable, disable, modify, or drop a constraint. When the database is using a UNIQUE
or PRIMARY KEY
index to enforce a constraint, and constraints associated with that index are dropped or disabled, the index is dropped, unless you specify otherwise.
While enabled foreign keys reference a PRIMARY
or UNIQUE
key, you cannot disable or drop the PRIMARY
or UNIQUE
key constraint or the index.
The following statements disable integrity constraints. The second statement specifies that the associated indexes are to be kept.
ALTER TABLE dept DISABLE CONSTRAINT dname_ukey; ALTER TABLE dept DISABLE PRIMARY KEY KEEP INDEX, DISABLE UNIQUE (dname, loc) KEEP INDEX;
The following statements enable novalidate disabled integrity constraints:
ALTER TABLE dept ENABLE NOVALIDATE CONSTRAINT dname_ukey; ALTER TABLE dept ENABLE NOVALIDATE PRIMARY KEY, ENABLE NOVALIDATE UNIQUE (dname, loc);
The following statements enable or validate disabled integrity constraints:
ALTER TABLE dept MODIFY CONSTRAINT dname_key VALIDATE; ALTER TABLE dept MODIFY PRIMARY KEY ENABLE NOVALIDATE;
The following statements enable disabled integrity constraints:
ALTER TABLE dept ENABLE CONSTRAINT dname_ukey; ALTER TABLE dept ENABLE PRIMARY KEY, ENABLE UNIQUE (dname, loc);
To disable or drop a UNIQUE
key or PRIMARY KEY
constraint and all dependent FOREIGN KEY
constraints in a single step, use the CASCADE
option of the DISABLE
or DROP
clauses. For example, the following statement disables a PRIMARY KEY
constraint and any FOREIGN KEY
constraints that depend on it:
ALTER TABLE dept DISABLE PRIMARY KEY CASCADE;
The ALTER TABLE...RENAME CONSTRAINT
statement enables you to rename any currently existing constraint for a table. The new constraint name must not conflict with any existing constraint names for a user.
The following statement renames the dname_ukey
constraint for table dept
:
ALTER TABLE dept RENAME CONSTRAINT dname_ukey TO dname_unikey;
When you rename a constraint, all dependencies on the base table remain valid.
The RENAME CONSTRAINT
clause provides a means of renaming system generated constraint names.
You can drop an integrity constraint if the rule that it enforces is no longer true, or if the constraint is no longer needed. You can drop the constraint using the ALTER TABLE
statement with one of the following clauses:
DROP
PRIMARY
KEY
DROP
UNIQUE
DROP
CONSTRAINT
The following two statements drop integrity constraints. The second statement keeps the index associated with the PRIMARY KEY
constraint:
ALTER TABLE dept DROP UNIQUE (dname, loc); ALTER TABLE emp DROP PRIMARY KEY KEEP INDEX, DROP CONSTRAINT dept_fkey;
If FOREIGN KEY
s reference a UNIQUE
or PRIMARY KEY
, you must include the CASCADE CONSTRAINTS
clause in the DROP
statement, or you cannot drop the constraint.
When the database checks a constraint, it signals an error if the constraint is not satisfied. You can defer checking the validity of constraints until the end of a transaction.
When you issue the SET CONSTRAINTS
statement, the SET CONSTRAINTS
mode lasts for the duration of the transaction, or until another SET CONSTRAINTS
statement resets the mode.
Notes:
You cannot issue a SET CONSTRAINT
statement inside a trigger.
Deferrable unique and primary keys must use nonunique indexes.
Within the application being used to manipulate the data, you must set all constraints deferred before you actually begin processing any data. Use the following DML statement to set all deferrable constraints deferred:
SET CONSTRAINTS ALL DEFERRED;
Note:
TheSET CONSTRAINTS
statement applies only to the current transaction. The defaults specified when you create a constraint remain as long as the constraint exists. The ALTER SESSION SET CONSTRAINTS
statement applies for the current session only.You can check for constraint violations before committing by issuing the SET CONSTRAINTS ALL IMMEDIATE
statement just before issuing the COMMIT
. If there are any problems with a constraint, this statement fails and the constraint causing the error is identified. If you commit while constraints are violated, the transaction is rolled back and you receive an error message.
If exceptions exist when a constraint is validated, an error is returned and the integrity constraint remains novalidated. When a statement is not successfully executed because integrity constraint exceptions exist, the statement is rolled back. If exceptions exist, you cannot validate the constraint until all exceptions to the constraint are either updated or deleted.
To determine which rows violate the integrity constraint, issue the ALTER TABLE
statement with the EXCEPTIONS
option in the ENABLE
clause. The EXCEPTIONS
option places the rowid, table owner, table name, and constraint name of all exception rows into a specified table.
You must create an appropriate exceptions report table to accept information from the EXCEPTIONS
option of the ENABLE
clause before enabling the constraint. You can create an exception table by executing the UTLEXCPT.SQL
script or the UTLEXPT1.SQL
script.
Note:
Your choice of script to execute for creating theEXCEPTIONS
table is dependent upon the compatibility level of your database and the type of table you are analyzing. See the Oracle Database SQL Reference for more information.Both of these scripts create a table named EXCEPTIONS
. You can create additional exceptions tables with different names by modifying and resubmitting the script.
The following statement attempts to validate the PRIMARY KEY
of the dept
table, and if exceptions exist, information is inserted into a table named EXCEPTIONS
:
ALTER TABLE dept ENABLE PRIMARY KEY EXCEPTIONS INTO EXCEPTIONS;
If duplicate primary key values exist in the dept
table and the name of the PRIMARY KEY
constraint on dept
is sys_c00610
, then the following query will display those exceptions:
SELECT * FROM EXCEPTIONS;
The following exceptions are shown:
fROWID OWNER TABLE_NAME CONSTRAINT ------------------ --------- -------------- ----------- AAAAZ9AABAAABvqAAB SCOTT DEPT SYS_C00610 AAAAZ9AABAAABvqAAG SCOTT DEPT SYS_C00610
A more informative query would be to join the rows in an exception report table and the master table to list the actual rows that violate a specific constraint, as shown in the following statement and results:
SELECT deptno, dname, loc FROM dept, EXCEPTIONS WHERE EXCEPTIONS.constraint = 'SYS_C00610' AND dept.rowid = EXCEPTIONS.row_id; DEPTNO DNAME LOC ---------- -------------- ----------- 10 ACCOUNTING NEW YORK 10 RESEARCH DALLAS
All rows that violate a constraint must be either updated or deleted from the table containing the constraint. When updating exceptions, you must change the value violating the constraint to a value consistent with the constraint or to a null. After the row in the master table is updated or deleted, the corresponding rows for the exception in the exception report table should be deleted to avoid confusion with later exception reports. The statements that update the master table and the exception report table should be in the same transaction to ensure transaction consistency.
To correct the exceptions in the previous examples, you might issue the following transaction:
UPDATE dept SET deptno = 20 WHERE dname = 'RESEARCH'; DELETE FROM EXCEPTIONS WHERE constraint = 'SYS_C00610'; COMMIT;
When managing exceptions, the goal is to eliminate all exceptions in your exception report table.
Note:
While you are correcting current exceptions for a table with the constraint disabled, it is possible for other users to issue statements creating new exceptions. You can avoid this by marking the constraintENABLE NOVALIDATE
before you start eliminating exceptions.Oracle Database provides the following views that enable you to see constraint definitions on tables and to identify columns that are specified in constraints:
View | Description |
---|---|
DBA_CONSTRAINTS
|
DBA view describes all constraint definitions in the database. ALL view describes constraint definitions accessible to current user. USER view describes constraint definitions owned by the current user. |
DBA_CONS_COLUMNS
|
DBA view describes all columns in the database that are specified in constraints. ALL view describes only those columns accessible to current user that are specified in constraints. USER view describes only those columns owned by the current user that are specified in constraints. |
See Also:
Oracle Database Reference contains descriptions of the columns in these viewsTo rename an object, it must be in your schema. You can rename schema objects in either of the following ways:
Drop and re-create the object
Rename the object using the RENAME
statement
If you drop and re-create an object, all privileges granted for that object are lost. Privileges must be regranted when the object is re-created.
Alternatively, a table, view, sequence, or a private synonym of a table, view, or sequence can be renamed using the RENAME
statement. When using the RENAME
statement, integrity constraints, indexes, and grants made for the object are carried forward for the new name. For example, the following statement renames the sales_staff
view:
RENAME sales_staff TO dept_30;
Note:
You cannot useRENAME
for a stored PL/SQL program unit, public synonym, index, or cluster. To rename such an object, you must drop and re-create it.Before renaming a schema object, consider the following effects:
All views and PL/SQL program units dependent on a renamed object become invalid, and must be recompiled before next use.
All synonyms for a renamed object return an error when used.
This section describes object dependencies, and contains the following topics:
Some types of schema objects can reference other objects as part of their definition. For example, a view is defined by a query that references tables or other views. A procedure's body can include SQL statements that reference other schema objects. An object that references another object as part of its definition is called a dependent object, while the object being referenced is a referenced object.
If you alter the definition of a referenced object, dependent objects may become invalid. The next time that an invalid object is referenced—for example, used in a query or invoked by a procedure—the database automatically recompiles it before proceeding with the current operation. In many cases, this restores the validity of the object. However, some changes to a referenced object cause invalidations to dependent objects that cannot be remedied by just recompilation. For example, if you drop a table, any procedure that queries that table will generate errors upon recompilation. In this case, code changes are required before that procedure can be made valid again.
Even if all currently invalid objects can be made valid again with just recompilation, it is obvious that a large number of invalid objects can have a negative impact on application performance. In addition, if a package were to become invalid and then run by an application, the automatic recompilation of that package could result in an error ORA-04068
(existing state of package
pkg_name
has been discarded
) in one or more sessions. As a DBA, you must therefore be aware of object dependencies before altering the definitions of schema objects.
Oracle Database automatically tracks dependencies among schema objects and tracks the current state (VALID
or INVALID
) of every schema object. You can determine the state of all objects in a schema with the following query:
select object_name, object_type, status from user_objects;
You can force the database to recompile a schema object using the appropriate SQL statement with the COMPILE
clause.
The following are some generalized rules for the invalidation of schema objects:
If you change the definition of a schema object, dependent objects are cascade invalidated. This means that if B
depends on A
and C
depends on B
, if you change the definition of A
, then B
becomes invalid, which in turn invalidates C
.
If you revoke privileges from a schema object, dependent objects are cascade invalidated.
There are a small number of situations where altering the definition of a schema object does not invalidate dependent objects. For example, if a procedure includes a query on a view, if you change only the view's WHERE
clause, the procedure remains valid.
Table 13-1 shows how objects are affected by changes to other objects on which they depend.
Table 13-1 Operations that Affect Object Status
Operation | Resulting Status of Dependent Objects |
---|---|
|
|
|
Either |
|
No change if the synonym is repointed in a compatible1 way, otherwise |
|
|
|
|
|
|
|
No change |
|
All objects of user that depend on object are |
|
All objects in the database that depend on object are |
Notes to Table 13-1:
Compatible means that the select list of the new target object is identical to that of the old target, and the new target and old target have identical privileges. An identical select list means that the names, data types, and order of columns are identical.
Standalone procedures and functions, packages, and triggers.
Only DML object privileges, including SELECT, INSERT, UPDATE, DELETE
, and EXECUTE
; revalidation does not require recompiling.
See Also:
Oracle Database Concepts for more information on dependencies among schema objects.To recompile a view manually, you must have the ALTER ANY TABLE
system privilege or the view must be contained in your schema. Use the ALTER VIEW
statement with the COMPILE
clause to recompile a view. The following statement recompiles the view emp_dept
contained in your schema:
ALTER VIEW emp_dept COMPILE;
See Also:
Oracle Database SQL Reference for syntax and other information about theALTER VIEW
statementTo recompile a standalone procedure manually, you must have the ALTER ANY PROCEDURE
system privilege or the procedure must be contained in your schema. Use the ALTER PROCEDURE/FUNCTION
statement with the COMPILE
clause to recompile a standalone procedure or function. The following statement recompiles the stored procedure update_salary
contained in your schema:
ALTER PROCEDURE update_salary COMPILE;
See Also:
Oracle Database SQL Reference for syntax and other information about theALTER PROCEDURE
statementTo recompile a package manually, you must have the ALTER ANY PROCEDURE
system privilege or the package must be contained in your schema. Use the ALTER PACKAGE
statement with the COMPILE
clause to recompile either a package body or both a package specification and body. The following statement recompiles just the body of the package acct_mgmt
:
ALTER PACKAGE acct_mgmt COMPILE BODY;
The next statement compiles both the body and specification of the package acct_mgmt
:
ALTER PACKAGE acct_mgmt COMPILE PACKAGE;
See Also:
Oracle Database SQL Reference for syntax and other information about theALTER PACKAGE
statementObject names referenced in SQL statements can consist of several pieces, separated by periods. The following describes how the database resolves an object name.
Oracle Database attempts to qualify the first piece of the name referenced in the SQL statement. For example, in scott.emp
, scott
is the first piece. If there is only one piece, the one piece is considered the first piece.
In the current schema, the database searches for an object whose name matches the first piece of the object name. If it does not find such an object, it continues with step b.
The database searches for a public synonym that matches the first piece of the name. If it does not find one, it continues with step c.
The database searches for a schema whose name matches the first piece of the object name. If it finds one, it returns to step b, now using the second piece of the name as the object to find in the qualified schema. If the second piece does not correspond to an object in the previously qualified schema or there is not a second piece, the database returns an error.
If no schema is found in step c, the object cannot be qualified and the database returns an error.
A schema object has been qualified. Any remaining pieces of the name must match a valid part of the found object. For example, if scott.emp.deptno
is the name, scott
is qualified as a schema, emp
is qualified as a table, and deptno
must correspond to a column (because emp
is a table). If emp
is qualified as a package, deptno
must correspond to a public constant, variable, procedure, or function of that package.
When global object names are used in a distributed database, either explicitly or indirectly within a synonym, the local database resolves the reference locally. For example, it resolves a synonym to global object name of a remote table. The partially resolved statement is shipped to the remote database, and the remote database completes the resolution of the object as described here.
Because of how the database resolves references, it is possible for an object to depend on the nonexistence of other objects. This situation occurs when the dependent object uses a reference that would be interpreted differently were another object present. For example, assume the following:
At the current point in time, the company
schema contains a table named emp
.
A PUBLIC
synonym named emp
is created for company.emp
and the SELECT
privilege for company.emp
is granted to the PUBLIC
role.
The jward
schema does not contain a table or private synonym named emp
.
The user jward
creates a view in his schema with the following statement:
CREATE VIEW dept_salaries AS SELECT deptno, MIN(sal), AVG(sal), MAX(sal) FROM emp GROUP BY deptno ORDER BY deptno;
When jward
creates the dept_salaries
view, the reference to emp
is resolved by first looking for jward.emp
as a table, view, or private synonym, none of which is found, and then as a public synonym named emp
, which is found. As a result, the database notes that jward.dept_salaries
depends on the nonexistence of jward.emp
and on the existence of public.emp
.
Now assume that jward
decides to create a new view named emp
in his schema using the following statement:
CREATE VIEW emp AS SELECT empno, ename, mgr, deptno FROM company.emp;
Notice that jward.emp
does not have the same structure as company.emp
.
As it attempts to resolve references in object definitions, the database internally makes note of dependencies that the new dependent object has on "nonexistent" objects--schema objects that, if they existed, would change the interpretation of the object's definition. Such dependencies must be noted in case a nonexistent object is later created. If a nonexistent object is created, all dependent objects must be invalidated so that dependent objects can be recompiled and verified and all dependent function-based indexes must be marked unusable.
Therefore, in the previous example, as jward.emp
is created, jward.dept_salaries
is invalidated because it depends on jward.emp
. Then when jward.dept_salaries
is used, the database attempts to recompile the view. As the database resolves the reference to emp
, it finds jward.emp
(public.emp
is no longer the referenced object). Because jward.emp
does not have a sal
column, the database finds errors when replacing the view, leaving it invalid.
In summary, you must manage dependencies on nonexistent objects checked during object resolution in case the nonexistent object is later created.
See Also:
"Schema Objects and Database Links" for information about name resolution in a distributed databaseThe following statement sets the schema of the current session to the schema name specified in the statement.
ALTER SESSION SET CURRENT_SCHEMA = <schema name>
In subsequent SQL statements, Oracle Database uses this schema name as the schema qualifier when the qualifier is omitted. In addition, the database uses the temporary tablespace of the specified schema for sorts, joins, and storage of temporary database objects. The session retains its original privileges and does not acquire any extra privileges by the preceding ALTER
SESSION
statement.
For example:
CONNECT scott/tiger ALTER SESSION SET CURRENT_SCHEMA = joe; SELECT * FROM emp;
Because emp
is not schema-qualified, the table name is resolved under schema joe
. But if scott
does not have select privilege on table joe
.emp
, then scott
cannot execute the SELECT
statement.
Oracle Database provides a PL/SQL package that enables you to determine the DDL that created an object and data dictionary views that you can use to display information about schema objects. Packages and views that are unique to specific types of schema objects are described in the associated chapters. This section describes views and packages that are generic in nature and apply to multiple schema objects.
The Oracle-supplied PL/SQL package DBMS_METADATA.GET_DDL
lets you obtain metadata (in the form of DDL used to create the object) about a schema object.
See Also:
Oracle Database PL/SQL Packages and Types Reference for a description of PL/SQL packagesExample: Using the DBMS_METADATA Package
The DBMS_METADATA
package is a powerful tool for obtaining the complete definition of a schema object. It enables you to obtain all of the attributes of an object in one pass. The object is described as DDL that can be used to (re)create it.
In the following statements the GET_DDL
function is used to fetch the DDL for all tables in the current schema, filtering out nested tables and overflow segments. The SET_TRANSFORM_PARAM
(with the handle value equal to DBMS_METADATA.SESSION_TRANSFORM
meaning "for the current session") is used to specify that storage clauses are not to be returned in the SQL DDL. Afterwards, the session-level transform parameters are reset to their defaults. Once set, transform parameter values remain in effect until specifically reset to their defaults.
EXECUTE DBMS_METADATA.SET_TRANSFORM_PARAM( DBMS_METADATA.SESSION_TRANSFORM,'STORAGE',false); SELECT DBMS_METADATA.GET_DDL('TABLE',u.table_name) FROM USER_ALL_TABLES u WHERE u.nested='NO' AND (u.iot_type is null or u.iot_type='IOT'); EXECUTE DBMS_METADATA.SET_TRANSFORM_PARAM( DBMS_METADATA.SESSION_TRANSFORM,'DEFAULT');
The output from DBMS_METADATA.GET_DDL
is a LONG
datatype. When using SQL*Plus, your output may be truncated by default. Issue the following SQL*Plus command before issuing the DBMS_METADATA.GET_DDL
statement to ensure that your output is not truncated:
SQL> SET LONG 9999
See Also:
Oracle XML Developer's Kit Programmer's Guide for detailed information and further examples relating to the use of theDBMS_METADATA
packageThese views display general information about schema objects:
View | Description |
---|---|
DBA_OBJECTS
|
DBA view describes all schema objects in the database. ALL view describes objects accessible to current user. USER view describes objects owned by the current user. |
DBA_CATALOG
|
List the name, type, and owner (USER view does not display owner) for all tables, views, synonyms, and sequences in the database. |
DBA_DEPENDENCIES
|
Describe all dependencies between procedures, packages, functions, package bodies, and triggers, including dependencies on views without any database links. |
The following sections contain examples of using some of these views.
See Also:
Oracle Database Reference for a complete description of data dictionary viewsThe following query lists all of the objects owned by the user issuing the query:
SELECT OBJECT_NAME, OBJECT_TYPE FROM USER_OBJECTS;
The following is the query output:
OBJECT_NAME OBJECT_TYPE ------------------------- ------------------- EMP_DEPT CLUSTER EMP TABLE DEPT TABLE EMP_DEPT_INDEX INDEX PUBLIC_EMP SYNONYM EMP_MGR VIEW
When you create a view or a synonym, the view or synonym is based on its underlying base object. The ALL
_DEPENDENCIES
, USER_DEPENDENCIES
, and DBA_DEPENDENCIES
data dictionary views can be used to reveal the dependencies for a view. The ALL
_SYNONYMS
, USER_SYNONYMS
, and DBA_SYNONYMS
data dictionary views can be used to list the base object of a synonym. For example, the following query lists the base objects for the synonyms created by user jward
:
SELECT TABLE_OWNER, TABLE_NAME, SYNONYM_NAME FROM DBA_SYNONYMS WHERE OWNER = 'JWARD';
The following is the query output:
TABLE_OWNER TABLE_NAME SYNONYM_NAME ---------------------- ----------- ----------------- SCOTT DEPT DEPT SCOTT EMP EMP