20 Managing Tables

Design Tables Before Creating Them

Usually, the application developer is responsible for designing the elements of an application, including the tables. Database administrators are responsible for establishing the attributes of the underlying tablespace that will hold the application tables. Either the DBA or the applications developer, or both working jointly, can be responsible for the actual creation of the tables, depending upon the practices for a site.

Working with the application developer, consider the following guidelines when designing tables:

• Use descriptive names for tables, columns, indexes, and clusters.

• Be consistent in abbreviations and in the use of singular and plural forms of table names and columns.

• Document the meaning of each table and its columns with the COMMENT command.

• Normalize each table.

• Select the appropriate data type for each column.

• Consider whether your applications would benefit from adding one or more virtual columns to some tables.

• Define columns that allow nulls last, to conserve storage space.

• Cluster tables whenever appropriate, to conserve storage space and optimize performance of SQL statements.

Before creating a table, you should also determine whether to use integrity constraints. Integrity constraints can be defined on the columns of a table to enforce the business rules of your database automatically.

Specify the Type of Table to Create

Here are the types of tables that you can create:

Specify the Location of Each Table

It is advisable to specify the TABLESPACE clause in a CREATE TABLE statement to identify the tablespace that is to store the new table. For partitioned tables, you can optionally identify the tablespace that is to store each partition. Ensure that you have the appropriate privileges and quota on any tablespaces that you use. If you do not specify a tablespace in a CREATE TABLE statement, the table is created in your default tablespace.

When specifying the tablespace to contain a new table, ensure that you understand implications of your selection. By properly specifying a tablespace during the creation of each table, you can increase the performance of the database system and decrease the time needed for database administration.

The following situations illustrate how not specifying a tablespace, or specifying an inappropriate one, can affect performance:

• If users' objects are created in the SYSTEM tablespace, the performance of the database can suffer, since both data dictionary objects and user objects must contend for the same data files. Users' objects should not be stored in the SYSTEM tablespace. To avoid this, ensure that all users are assigned default tablespaces when they are created in the database.

• If application-associated tables are arbitrarily stored in various tablespaces, the time necessary to complete administrative operations (such as backup and recovery) for the data of that application can be increased.

Consider Parallelizing Table Creation

You can use parallel execution when creating tables using a subquery (AS SELECT) in the CREATE TABLE statement. Because multiple processes work together to create the table, performance of the table creation operation is improved.

Parallelizing table creation is discussed in the section "Parallelizing Table Creation".

Consider Using NOLOGGING When Creating Tables

To create a table most efficiently use the NOLOGGING clause in the CREATE TABLE...AS SELECT statement. The NOLOGGING clause causes minimal redo information to be generated during the table creation. This has the following benefits:

• Space is saved in the redo log files.

• The time it takes to create the table is decreased.

• Performance improves for parallel creation of large tables.

The NOLOGGING clause also specifies that subsequent direct loads using SQL*Loader and direct load INSERT operations are not logged. Subsequent DML statements (UPDATE, DELETE, and conventional path insert) are unaffected by the NOLOGGING attribute of the table and generate redo.

If you cannot afford to lose the table after you have created it (for example, you will no longer have access to the data used to create the table) you should take a backup immediately after the table is created. In some situations, such as for tables that are created for temporary use, this precaution may not be necessary.

In general, the relative performance improvement of specifying NOLOGGING is greater for larger tables than for smaller tables. For small tables, NOLOGGING has little effect on the time it takes to create a table. However, for larger tables the performance improvement can be significant, especially when also parallelizing the table creation.

Consider Using Table Compression

As your database grows in size, consider using table compression. Compression saves disk space, reduces memory use in the database buffer cache, and can significantly speed query execution during reads. Compression has a cost in CPU overhead for data loading and DML. However, this cost might be offset by reduced I/O requirements.

Table compression is completely transparent to applications. It is useful in decision support systems (DSS), online transaction processing (OLTP) systems, and archival systems.

You can specify compression for a tablespace, a table, or a partition. If specified at the tablespace level, then all tables created in that tablespace are compressed by default.

Compression can occur while data is being inserted, updated, or bulk loaded into a table. Operations that permit compression include:

• Single-row or array inserts and updates

• The following direct-path INSERT methods:

  • Direct path SQL*Loader

  • CREATE TABLE AS SELECT statements

  • Parallel INSERT statements

  • INSERT statements with an APPEND or APPEND_VALUES hint

Oracle Database supports several methods of table compression. They are summarized in Table 20-1.

When you use basic compression, warehouse compression, or archive compression, compression only occurs when data is bulk loaded into a table.

When you use OLTP compression, compression occurs while data is being inserted, updated, or bulk loaded into a table. Operations that permit compression include:

• Single-row or array inserts and updates

• The following direct-path INSERT methods:

  • Direct path SQL*Loader

  • CREATE TABLE AS SELECT statements

  • Parallel INSERT statements

  • INSERT statements with an APPEND or APPEND_VALUES hint

Basic compression compresses data inserted by direct path load only and supports limited data types and SQL operations. OLTP compression is intended for OLTP applications and compresses data manipulated by any SQL operation.

Warehouse compression and archive compression achieve the highest compression levels because they use Hybrid Columnar Compression technology. Hybrid Columnar Compression technology uses a modified form of columnar storage instead of row-major storage. This enables the database to store similar data together, which improves the effectiveness of compression algorithms. For data that is updated, Hybrid Columnar Compression uses more CPU and moves the updated rows to row format so that future updates are faster. Because of this optimization, you should use it only for data that is updated infrequently.

The higher compression levels of Hybrid Columnar Compression are achieved only with data that is direct-path inserted. Conventional inserts and updates are supported, but cause rows to be moved from columnar to row format, and reduce the compression level.

Table 20-2 lists characteristics of each table compression method.

You specify table compression with the COMPRESS clause of the CREATE TABLE statement. You can enable compression for an existing table by using these clauses in an ALTER TABLE statement. In this case, only data that is inserted or updated after compression is enabled is compressed. Similarly, you can disable table compression for an existing compressed table with the ALTER TABLE...NOCOMPRESS statement. In this case, all data that was already compressed remains compressed, and new data is inserted uncompressed.

The COMPRESS FOR QUERY HIGH option is the default data warehouse compression mode. It provides good compression and performance when using Hybrid Columnar Compression on Exadata storage. The COMPRESS FOR QUERY LOW option should be used in environments where load performance is critical. It loads faster than data compressed with the COMPRESS FOR QUERY HIGH option.

The COMPRESS FOR ARCHIVE LOW option is the default archive compression mode. It provides a high compression level and is ideal for infrequently-accessed data. The COMPRESS FOR ARCHIVE HIGH option should be used for data that is rarely accessed.

A compression advisor, provided by the DBMS_COMPRESSION package, helps you determine the expected compression level for a particular table with a particular compression method.

CREATE TABLE orders  ...  COMPRESS FOR OLTP;

CREATE TABLE sales_history  ...  COMPRESS BASIC;

CREATE TABLE sales_history  ...  COMPRESS;

INSERT /*+ APPEND */ INTO sales_history SELECT * FROM sales WHERE cust_id=8890;
COMMIT;

CREATE TABLE sales_history  ...  COMPRESS FOR QUERY;

CREATE TABLE sales_history  ...  COMPRESS FOR ARCHIVE;

SQL> SELECT table_name, compression, compress_for FROM user_tables;
 
TABLE_NAME       COMPRESSION   COMPRESS_FOR
---------------- ------------  -----------------
T1               DISABLED
T2               ENABLED       BASIC
T3               ENABLED       OLTP
T4               ENABLED       QUERY HIGH
T5               ENABLED       ARCHIVE LOW

SQL> SELECT table_name, partition_name, compression, compress_for
  FROM user_tab_partitions;

TABLE_NAME  PARTITION_NAME   COMPRESSION   COMPRESS_FOR
----------- ---------------- -----------   ------------------------------
SALES       Q4_2004          ENABLED       ARCHIVE HIGH
  ...
SALES       Q3_2008          ENABLED       QUERY HIGH
SALES       Q4_2008          ENABLED       QUERY HIGH
SALES       Q1_2009          ENABLED       OLTP
SALES       Q2_2009          ENABLED       OLTP

SELECT DECODE(DBMS_COMPRESSION.GET_COMPRESSION_TYPE(
                 ownname => 'HR', 
                 tabname => 'EMPLOYEES', 
                 row_id  => 'AAAVEIAAGAAAABTAAD'), 
   1,  'No Compression',
   2,  'Basic or OLTP Compression', 
   4,  'Hybrid Columnar Compression for Query High',
   8,  'Hybrid Columnar Compression for Query Low',
   16, 'Hybrid Columnar Compression for Archive High',
   32, 'Hybrid Columnar Compression for Archive Low',
   'Unknown Compression Type') compression_type
FROM DUAL;

Consider Encrypting Columns That Contain Sensitive Data

You can encrypt individual table columns that contain sensitive data. Examples of sensitive data include social security numbers, credit card numbers, and medical records. Column encryption is transparent to your applications, with some restrictions.

Although encryption is not meant to solve all security problems, it does protect your data from users who try to circumvent the security features of the database and access database files directly through the operating system file system.

Column encryption uses the transparent data encryption feature of Oracle Database, which requires that you create an Oracle wallet to store the master encryption key for the database. The wallet must be open before you can create a table with encrypted columns and before you can store or retrieve encrypted data. When you open the wallet, it is available to all sessions, and it remains open until you explicitly close it or until the database is shut down.

Transparent data encryption supports industry-standard encryption algorithms, including the following Advanced Encryption Standard (AES) and Triple Data Encryption Standard (3DES) algorithms:

• AES256

• AES192

• AES128

• 3DES168

You choose the algorithm to use when you create the table. All encrypted columns in the table use the same algorithm. The default is AES192. The encryption key length is implied by the algorithm name. For example, the AES128 algorithm uses 128-bit keys.

If you plan on encrypting many columns in one or more tables, you may want to consider encrypting an entire tablespace instead and storing these tables in that tablespace. Tablespace encryption, which also uses the transparent data encryption feature but encrypts at the physical block level, can perform better than encrypting many columns. Another reason to encrypt at the tablespace level is to address the following limitations of column encryption:

• If the COMPATIBLE initialization parameter set to 10.2.0, which is the minimum setting to enable transparent data encryption, data from encrypted columns that is involved in a sort or hash-join and that must be written to a temporary tablespace is written in clear text, and thus exposed to attacks. You must set COMPATIBLE to 11.1.0 or higher to ensure that encrypted data written to a temporary tablespace remains encrypted. Note that as long as COMPATIBLE is set to 10.2.0 or higher, data from encrypted columns remains encrypted when written to the undo tablespace or the redo log.

• Certain data types, such as object data types, are not supported for column encryption.

• You cannot use the transportable tablespace feature for a tablespace that includes tables with encrypted columns.

• Other restrictions, which are detailed in Oracle Database Advanced Security Administrator's Guide.

Understand Deferred Segment Creation

Beginning with Oracle Database 11g Release 2, when you create heap-organized tables in a locally managed tablespace, the database defers table segment creation until the first row is inserted.

In addition, segment creation is deferred for any LOB columns of the table, any indexes created implicitly as part of table creation, and any indexes subsequently explicitly created on the table.

The advantages of this space allocation method are the following:

• It saves a significant amount of disk space in applications that create hundreds or thousands of tables upon installation, many of which might never be populated.

• It reduces application installation time.

There is a small performance penalty when the first row is inserted, because the new segment must be created at that time.

To enable deferred segment creation, compatibility must be set to '11.2.0' or higher.

The new clauses for the CREATE TABLE statement are:

• SEGMENT CREATION DEFERRED

• SEGMENT CREATION IMMEDIATE

These clauses override the default setting of the DEFERRED_SEGMENT_CREATION initialization parameter, TRUE, which defers segment creation. To disable deferred segment creation, set this parameter to FALSE.

Note that when you create a table with deferred segment creation, the new table appears in the *_TABLES views, but no entry for it appears in the *_SEGMENTS views until you insert the first row.

You can verify deferred segment creation by viewing the SEGMENT_CREATED column in *_TABLES, *_INDEXES, and *_LOBS views for nonpartitioned tables, and in *_TAB_PARTITIONS, *_IND_PARTITIONS, and *_LOB_PARTITIONS views for partitioned tables.

The following example creates two tables to demonstrate deferred segment creation. The first table uses the SEGMENT CREATION DEFERRED clause. No segments are created for it initially. The second table uses the SEGMENT CREATION IMMEDIATE clause and, therefore, segments are created for it immediately.

CREATE TABLE part_time_employees (
    empno NUMBER(8),
    name VARCHAR2(30),
    hourly_rate NUMBER (7,2)
    )   
    SEGMENT CREATION DEFERRED;
 
CREATE TABLE hourly_employees (
    empno NUMBER(8),
    name VARCHAR2(30),
    hourly_rate NUMBER (7,2)
    ) 
   SEGMENT CREATION IMMEDIATE
   PARTITION BY RANGE(empno)
    (PARTITION empno_to_100 VALUES LESS THAN (100),
    PARTITION empno_to_200 VALUES LESS THAN (200));

The following query against USER_SEGMENTS returns two rows for HOURLY_EMPLOYEES, one for each partition, but returns no rows for PART_TIME_EMPLOYEES because segment creation for that table was deferred.

SELECT segment_name, partition_name FROM user_segments;
 
SEGMENT_NAME         PARTITION_NAME                                
-------------------- ------------------------------                             
HOURLY_EMPLOYEES     EMPNO_TO_100                       
HOURLY_EMPLOYEES     EMPNO_TO_200       

The USER_TABLES view shows that PART_TIME_EMPLOYEES has no segments:

SELECT table_name, segment_created FROM user_tables;
 

TABLE_NAME                     SEGMENT_CREATED
------------------------------ ----------------------------------------
PART_TIME_EMPLOYEES            NO
HOURLY_EMPLOYEES               N/A

For the HOURLY_EMPLOYEES table, which is partitioned, the segment_created column is N/A because the USER_TABLES view does not provide that information for partitioned tables. It is available from the USER_TAB_PARTITIONS view, shown below.

SELECT table_name, segment_created, partition_name
 FROM user_tab_partitions;

TABLE_NAME           SEGMENT_CREATED      PARTITION_NAME
-------------------- -------------------- ------------------------------
HOURLY_EMPLOYEES     YES                  EMPNO_TO_100
HOURLY_EMPLOYEES     YES                  EMPNO_TO_200

The following statements add employees to these tables.

INSERT INTO hourly_employees VALUES (99, 'FRose', 20.00);
INSERT INTO hourly_employees VALUES (150, 'LRose', 25.00);
 
INSERT INTO part_time_employees VALUES (50, 'KReilly', 10.00);

Repeating the same SELECT statements as before shows that PART_TIME_EMPLOYEES now has a segment, due to the insertion of row data. HOURLY_EMPLOYEES remains as before.

SELECT segment_name, partition_name FROM user_segments;
 
SEGMENT_NAME         PARTITION_NAME
-------------------- ------------------------------
PART_TIME_EMPLOYEES
HOURLY_EMPLOYEES     EMPNO_TO_100
HOURLY_EMPLOYEES     EMPNO_TO_200

SELECT table_name, segment_created FROM user_tables;
 
TABLE_NAME           SEGMENT_CREATED
-------------------- --------------------
PART_TIME_EMPLOYEES  YES
HOURLY_EMPLOYEES     N/A
                                         

The USER_TAB_PARTITIONS view does not change.

Materializing Segments

Beginning with Oracle Database 11g release 2 (11.2.0.2), the DBMS_SPACE_ADMIN package includes the MATERIALIZE_DEFERRED_SEGMENTS() procedure, which enables you to materialize segments for tables, table partitions, and dependent objects created with deferred segment creation enabled.

You can add segments as needed, rather than starting with more than you need and using database resources unnecessarily.

The following example materializes segments for the EMPLOYEES table in the HR schema.

BEGIN
  DBMS_SPACE_ADMIN.MATERIALIZE_DEFERRED_SEGMENTS(
    schema_name  => 'HR',
    table_name   => 'EMPLOYEES');
END;

Estimate Table Size and Plan Accordingly

Estimate the sizes of tables before creating them. Preferably, do this as part of database planning. Knowing the sizes, and uses, for database tables is an important part of database planning.

You can use the combined estimated size of tables, along with estimates for indexes, undo space, and redo log files, to determine the amount of disk space that is required to hold an intended database. From these estimates, you can make correct hardware purchases.

You can use the estimated size and growth rate of an individual table to better determine the attributes of a tablespace and its underlying data files that are best suited for the table. This can enable you to more easily manage the table disk space and improve I/O performance of applications that use the table.

Restrictions to Consider When Creating Tables

Here are some restrictions that may affect your table planning and usage:

• Tables containing object types cannot be imported into a pre-Oracle8 database.

• You cannot merge an exported table into a preexisting table having the same name in a different schema.

• You cannot move types and extent tables to a different schema when the original data still exists in the database.

• Oracle Database has a limit on the total number of columns that a table (or attributes that an object type) can have. See Oracle Database Reference for this limit.

  Further, when you create a table that contains user-defined type data, the database maps columns of user-defined type to relational columns for storing the user-defined type data. This causes additional relational columns to be created. This results in "hidden" relational columns that are not visible in a DESCRIBE table statement and are not returned by a SELECT * statement. Therefore, when you create an object table, or a relational table with columns of REF, varray, nested table, or object type, be aware that the total number of columns that the database actually creates for the table can be more than those you specify.

  See Also:

  Oracle Database Object-Relational Developer's Guide for more information about user-defined types

Example: Creating a Table

When you issue the following statement, you create a table named admin_emp in the hr schema and store it in the admin_tbs tablespace:

CREATE TABLE hr.admin_emp (
         empno      NUMBER(5) PRIMARY KEY,
         ename      VARCHAR2(15) NOT NULL,
         ssn        NUMBER(9) ENCRYPT USING 'AES256',
         job        VARCHAR2(10),
         mgr        NUMBER(5),
         hiredate   DATE DEFAULT (sysdate),
         photo      BLOB,
         sal        NUMBER(7,2),
         hrly_rate  NUMBER(7,2) GENERATED ALWAYS AS (sal/2080),
         comm       NUMBER(7,2),
         deptno     NUMBER(3) NOT NULL
                     CONSTRAINT admin_dept_fkey REFERENCES hr.departments
                     (department_id))
   TABLESPACE admin_tbs
   STORAGE ( INITIAL 50K);

COMMENT ON TABLE hr.admin_emp IS 'Enhanced employee table';

Note the following about this example:

• Integrity constraints are defined on several columns of the table.

• The STORAGE clause specifies the size of the first extent. See Oracle Database SQL Language Reference for details on this clause.

• Encryption is defined on one column (ssn), through the transparent data encryption feature of Oracle Database. The Oracle Wallet must therefore be open for this CREATE TABLE statement to succeed.

• The photo column is of data type BLOB, which is a member of the set of data types called large objects (LOBs). LOBs are used to store semi-structured data (such as an XML tree) and unstructured data (such as the stream of bits in a color image).

• One column is defined as a virtual column (hrly_rate). This column computes the employee's hourly rate as the yearly salary divided by 2,080. See Oracle Database SQL Language Reference for a discussion of rules for virtual columns.

• A COMMENT statement is used to store a comment for the table. You query the *_TAB_COMMENTS data dictionary views to retrieve such comments. See Oracle Database SQL Language Reference for more information.

Creating a Temporary Table

Temporary tables are useful in applications where a result set is to be buffered (temporarily persisted), perhaps because it is constructed by running multiple DML operations. For example, consider the following:

A Web-based airlines reservations application allows a customer to create several optional itineraries. Each itinerary is represented by a row in a temporary table. The application updates the rows to reflect changes in the itineraries. When the customer decides which itinerary she wants to use, the application moves the row for that itinerary to a persistent table.

During the session, the itinerary data is private. At the end of the session, the optional itineraries are dropped.

The definition of a temporary table is visible to all sessions, but the data in a temporary table is visible only to the session that inserts the data into the table.

Use the CREATE GLOBAL TEMPORARY TABLE statement to create a temporary table. The ON COMMIT clause indicates if the data in the table is transaction-specific (the default) or session-specific, the implications of which are as follows:

This statement creates a temporary table that is transaction specific:

CREATE GLOBAL TEMPORARY TABLE admin_work_area
        (startdate DATE,
         enddate DATE,
         class CHAR(20))
      ON COMMIT DELETE ROWS;

Indexes can be created on temporary tables. They are also temporary and the data in the index has the same session or transaction scope as the data in the underlying table.

By default, rows in a temporary table are stored in the default temporary tablespace of the user who creates it. However, you can assign a temporary table to another tablespace upon creation of the temporary table by using the TABLESPACE clause of CREATE GLOBAL TEMPORARY TABLE. You can use this feature to conserve space used by temporary tables. For example, if you must perform many small temporary table operations and the default temporary tablespace is configured for sort operations and thus uses a large extent size, these small operations will consume lots of unnecessary disk space. In this case it is better to allocate a second temporary tablespace with a smaller extent size.

The following two statements create a temporary tablespace with a 64 KB extent size, and then a new temporary table in that tablespace.

CREATE TEMPORARY TABLESPACE tbs_t1 
    TEMPFILE 'tbs_t1.f' SIZE 50m REUSE AUTOEXTEND ON
    MAXSIZE UNLIMITED
    EXTENT MANAGEMENT LOCAL UNIFORM SIZE 64K;

CREATE GLOBAL TEMPORARY TABLE admin_work_area
        (startdate DATE,
         enddate DATE,
         class CHAR(20))
      ON COMMIT DELETE ROWS
      TABLESPACE tbs_t1;

Unlike permanent tables, temporary tables and their indexes do not automatically allocate a segment when they are created. Instead, segments are allocated when the first INSERT (or CREATE TABLE AS SELECT) is performed. Therefore, if a SELECT, UPDATE, or DELETE is performed before the first INSERT, then the table appears to be empty.

DDL operations (except TRUNCATE) are allowed on an existing temporary table only if no session is currently bound to that temporary table.

If you rollback a transaction, the data you entered is lost, although the table definition persists.

A transaction-specific temporary table allows only one transaction at a time. If there are several autonomous transactions in a single transaction scope, each autonomous transaction can use the table only as soon as the previous one commits.

Because the data in a temporary table is, by definition, temporary, backup and recovery of temporary table data is not available in the event of a system failure. To prepare for such a failure, you should develop alternative methods for preserving temporary table data.

Parallelizing Table Creation

When you specify the AS SELECT clause to create a table and populate it with data from another table, you can use parallel execution. The CREATE TABLE...AS SELECT statement contains two parts: a CREATE part (DDL) and a SELECT part (query). Oracle Database can parallelize both parts of the statement. The CREATE part is parallelized if one of the following is true:

• A PARALLEL clause is included in the CREATE TABLE...AS SELECT statement

• An ALTER SESSION FORCE PARALLEL DDL statement is specified

The query part is parallelized if all of the following are true:

• The query includes a parallel hint specification (PARALLEL or PARALLEL_INDEX) or the CREATE part includes the PARALLEL clause or the schema objects referred to in the query have a PARALLEL declaration associated with them.

• At least one of the tables specified in the query requires either a full table scan or an index range scan spanning multiple partitions.

If you parallelize the creation of a table, that table then has a parallel declaration (the PARALLEL clause) associated with it. Any subsequent DML or queries on the table, for which parallelization is possible, will attempt to use parallel execution.

The following simple statement parallelizes the creation of a table and stores the result in a compressed format, using table compression:

CREATE TABLE hr.admin_emp_dept
     PARALLEL COMPRESS
     AS SELECT * FROM hr.employees
     WHERE department_id = 10;

In this case, the PARALLEL clause tells the database to select an optimum number of parallel execution servers when creating the table.

Methods for Loading Tables

There are several means of inserting or initially loading data into your tables. Most commonly used are the following:

See Oracle Database SQL Language Reference for details on the CREATE TABLE ... AS SELECT, INSERT, and MERGE statements.

Improving INSERT Performance with Direct-Path INSERT

When loading large amounts of data, you can improve load performance by using direct-path INSERT.

This section contains:

• About Direct-Path INSERT

• How Direct-Path INSERT Works

• Loading Data with Direct-Path INSERT

• Specifying the Logging Mode for Direct-Path INSERT

• Additional Considerations for Direct-Path INSERT

INSERT /*+ APPEND */ INTO sales_hist SELECT * FROM sales WHERE cust_id=8890;

FORALL i IN 1..numrecords
  INSERT /*+ APPEND_VALUES */ INTO orderdata 
  VALUES(ordernum(i), custid(i), orderdate(i),shipmode(i), paymentid(i));
COMMIT;

Using Conventional Inserts to Load Tables

During conventional INSERT operations, the database reuses free space in the table, interleaving newly inserted data with existing data. During such operations, the database also maintains referential integrity constraints. Unlike direct-path INSERT operations, conventional INSERT operations do not require an exclusive lock on the table.

Several other restrictions apply to direct-path INSERT operations that do not apply to conventional INSERT operations. See Oracle Database SQL Language Reference for information about these restrictions.

You can perform a conventional INSERT operation in serial mode or in parallel mode using the NOAPPEND hint.

The following is an example of using the NOAPPEND hint to perform a conventional INSERT in serial mode:

INSERT /*+ NOAPPEND */ INTO sales_hist SELECT * FROM sales WHERE cust_id=8890;

The following is an example of using the NOAPPEND hint to perform a conventional INSERT in parallel mode:

INSERT /*+ NOAPPEND PARALLEL */ INTO sales_hist
   SELECT * FROM sales;

To run in parallel DML mode, the following requirements must be met:

• You must have Oracle Enterprise Edition installed.

• You must enable parallel DML in your session. To do this, submit the following statement:

  ALTER SESSION { ENABLE | FORCE } PARALLEL DML;
  

• You must meet at least one of the following requirements:

  • Specify the parallel attribute for the target table, either at create time or subsequently

  • Specify the PARALLEL hint for each insert operation

  • Set the database initialization parameter PARALLEL_DEGREE_POLICY to AUTO

Avoiding Bulk INSERT Failures with DML Error Logging

When you load a table using an INSERT statement with subquery, if an error occurs, the statement is terminated and rolled back in its entirety. This can be wasteful of time and system resources. For such INSERT statements, you can avoid this situation by using the DML error logging feature.

To use DML error logging, you add a statement clause that specifies the name of an error logging table into which the database records errors encountered during DML operations. When you add this error logging clause to the INSERT statement, certain types of errors no longer terminate and roll back the statement. Instead, each error is logged and the statement continues. You then take corrective action on the erroneous rows at a later time.

DML error logging works with INSERT, UPDATE, MERGE, and DELETE statements. This section focuses on INSERT statements.

To insert data with DML error logging:

1. Create an error logging table. (Optional)

   You can create the table manually or use the DBMS_ERRLOG package to automatically create it for you. See "Creating an Error Logging Table" for details.

2. Execute an INSERT statement and include an error logging clause. This clause:

   • Optionally references the error logging table that you created. If you do not provide an error logging table name, the database logs to an error logging table with a default name. The default error logging table name is ERR$_ followed by the first 25 characters of the name of the table that is being inserted into.

   • Optionally includes a tag (a numeric or string literal in parentheses) that gets added to the error log to help identify the statement that caused the errors. If the tag is omitted, a NULL value is used.

   • Optionally includes a REJECT LIMIT subclause.

     This subclause indicates the maximum number of errors that can be encountered before the INSERT statement terminates and rolls back. You can also specify UNLIMITED. The default reject limit is zero, which means that upon encountering the first error, the error is logged and the statement rolls back. For parallel DML operations, the reject limit is applied to each parallel server.

   Note:

   If the statement exceeds the reject limit and rolls back, the error logging table retains the log entries recorded so far.

   See Oracle Database SQL Language Reference for error logging clause syntax information.

3. Query the error logging table and take corrective action for the rows that generated errors.

   See "Error Logging Table Format", later in this section, for details on the error logging table structure.

Example The following statement inserts rows into the DW_EMPL table and logs errors to the ERR_EMPL table. The tag 'daily_load' is copied to each log entry. The statement terminates and rolls back if the number of errors exceeds 25.

INSERT INTO dw_empl
  SELECT employee_id, first_name, last_name, hire_date, salary, department_id 
  FROM employees
  WHERE hire_date > sysdate - 7
  LOG ERRORS INTO err_empl ('daily_load') REJECT LIMIT 25

For more examples, see Oracle Database SQL Language Reference and Oracle Database Data Warehousing Guide.

EXECUTE DBMS_ERRLOG.CREATE_ERROR_LOG('DW_EMPL', 'ERR_EMPL');

Reasons for Using the ALTER TABLE Statement

You can use the ALTER TABLE statement to perform any of the following actions that affect a table:

• Modify physical characteristics (INITRANS or storage parameters)

• Move the table to a new segment or tablespace

• Explicitly allocate an extent or deallocate unused space

• Add, drop, or rename columns, or modify an existing column definition (data type, length, default value, NOT NULL integrity constraint, column expression (for virtual columns), and encryption properties.)

• Modify the logging attributes of the table

• Modify the CACHE/NOCACHE attributes

• Add, modify or drop integrity constraints associated with the table

• Enable or disable integrity constraints or triggers associated with the table

• Modify the degree of parallelism for the table

• Rename a table

• Put a table in read-only mode and return it to read/write mode

• Add or modify index-organized table characteristics

• Alter the characteristics of an external table

• Add or modify LOB columns

• Add or modify object type, nested table, or varray columns

Many of these operations are discussed in succeeding sections.

Altering Physical Attributes of a Table

When altering the transaction entry setting INITRANS of a table, note that a new setting for INITRANS applies only to data blocks subsequently allocated for the table.

The storage parameters INITIAL and MINEXTENTS cannot be altered. All new settings for the other storage parameters (for example, NEXT, PCTINCREASE) affect only extents subsequently allocated for the table. The size of the next extent allocated is determined by the current values of NEXT and PCTINCREASE, and is not based on previous values of these parameters.

Moving a Table to a New Segment or Tablespace

The ALTER TABLE...MOVE statement enables you to relocate data of a nonpartitioned table or of a partition of a partitioned table into a new segment, and optionally into a different tablespace for which you have quota. This statement also lets you modify any of the storage attributes of the table or partition, including those which cannot be modified using ALTER TABLE. You can also use the ALTER TABLE...MOVE statement with a COMPRESS clause to store the new segment using table compression.

One important reason to move a table to a new tablespace (with a new data file) is to eliminate the possibility that old versions of column data—versions left on now unused portions of the disk due to segment shrink, reorganization, or previous table moves—could be viewed by bypassing the access controls of the database (for example with an operating system utility). This is especially important with columns that you intend to modify by adding transparent data encryption.

The following statement moves the hr.admin_emp table to a new segment and tablespace, specifying new storage parameters:

ALTER TABLE hr.admin_emp MOVE
      STORAGE ( INITIAL 20K
                NEXT 40K
                MINEXTENTS 2
                MAXEXTENTS 20
                PCTINCREASE 0 )
  TABLESPACE hr_tbs;

Moving a table changes the rowids of the rows in the table. This causes indexes on the table to be marked UNUSABLE, and DML accessing the table using these indexes will receive an ORA-01502 error. The indexes on the table must be dropped or rebuilt. Likewise, any statistics for the table become invalid and new statistics should be collected after moving the table.

If the table includes LOB column(s), this statement can be used to move the table along with LOB data and LOB index segments (associated with this table) which the user explicitly specifies. If not specified, the default is to not move the LOB data and LOB index segments.

Manually Allocating Storage for a Table

Oracle Database dynamically allocates additional extents for the data segment of a table, as required. However, perhaps you want to allocate an additional extent for a table explicitly. For example, in an Oracle Real Application Clusters environment, an extent of a table can be allocated explicitly for a specific instance.

A new extent can be allocated for a table using the ALTER TABLE...ALLOCATE EXTENT clause.

You can also explicitly deallocate unused space using the DEALLOCATE UNUSED clause of ALTER TABLE. This is described in "Reclaiming Wasted Space".

Modifying an Existing Column Definition

Use the ALTER TABLE...MODIFY statement to modify an existing column definition. You can modify column data type, default value, column constraint, column expression (for virtual columns) and column encryption.

You can increase the length of an existing column, or decrease it, if all existing data satisfies the new length. You can change a column from byte semantics to CHAR semantics or vice versa. You must set the initialization parameter BLANK_TRIMMING=TRUE to decrease the length of a non-empty CHAR column.

If you are modifying a table to increase the length of a column of data type CHAR, realize that this can be a time consuming operation and can require substantial additional storage, especially if the table contains many rows. This is because the CHAR value in each row must be blank-padded to satisfy the new column length.

Adding Table Columns

To add a column to an existing table, use the ALTER TABLE...ADD statement.

The following statement alters the hr.admin_emp table to add a new column named bonus:

ALTER TABLE hr.admin_emp
      ADD (bonus NUMBER (7,2));

If a new column is added to a table, the column is initially NULL unless you specify the DEFAULT clause. When you specify a default value, the database immediately updates each row with the default value. Note that this can take some time, and that during the update, there is an exclusive DML lock on the table. For some types of tables (for example, tables without LOB columns), if you specify both a NOT NULL constraint and a default value, the database can optimize the column add operation and greatly reduce the amount of time that the table is locked for DML.

You can add a column with a NOT NULL constraint only if the table does not contain any rows, or you specify a default value.

Renaming Table Columns

Oracle Database lets you rename existing columns in a table. Use the RENAME COLUMN clause of the ALTER TABLE statement to rename a column. The new name must not conflict with the name of any existing column in the table. No other clauses are allowed with the RENAME COLUMN clause.

The following statement renames the comm column of the hr.admin_emp table.

ALTER TABLE hr.admin_emp
      RENAME COLUMN comm TO commission;

As noted earlier, altering a table column can invalidate dependent objects. However, when you rename a column, the database updates associated data dictionary tables to ensure that function-based indexes and check constraints remain valid.

Oracle Database also lets you rename column constraints. This is discussed in "Renaming Constraints".

Dropping Table Columns

You can drop columns that are no longer needed from a table, including an index-organized table. This provides a convenient means to free space in a database, and avoids your having to export/import data then re-create indexes and constraints.

You cannot drop all columns from a table, nor can you drop columns from a table owned by SYS. Any attempt to do so results in an error.

ALTER TABLE hr.admin_emp DROP COLUMN sal;

ALTER TABLE hr.admin_emp DROP (bonus, commission);

ALTER TABLE hr.admin_emp SET UNUSED (hiredate, mgr);

SELECT * FROM DBA_UNUSED_COL_TABS;

OWNER                       TABLE_NAME                  COUNT
--------------------------- --------------------------- -----
HR                          ADMIN_EMP                       2

ALTER TABLE hr.admin_emp DROP UNUSED COLUMNS CHECKPOINT 250;

Placing a Table in Read-Only Mode

You can place a table in read-only mode with the ALTER TABLE...READ ONLY statement, and return it to read/write mode with the ALTER TABLE...READ WRITE statement. An example of a table for which read-only mode makes sense is a configuration table. If your application contains configuration tables that are not modified after installation and that must not be modified by users, your application installation scripts can place these tables in read-only mode.

To place a table in read-only mode, you must have the ALTER TABLE privilege on the table or the ALTER ANY TABLE privilege. In addition, the COMPATIBLE initialization parameter must be set to 11.1.0 or greater.

The following example places the SALES table in read-only mode:

ALTER TABLE SALES READ ONLY;

The following example returns the table to read/write mode:

ALTER TABLE SALES READ WRITE;

When a table is in read-only mode, operations that attempt to modify table data are disallowed. The following operations are not permitted on a read-only table:

• All DML operations on the table or any of its partitions

• TRUNCATE TABLE

• SELECT FOR UPDATE

• ALTER TABLE ADD/MODIFY/RENAME/DROP COLUMN

• ALTER TABLE SET COLUMN UNUSED

• ALTER TABLE DROP/TRUNCATE/EXCHANGE (SUB)PARTITION

• ALTER TABLE UPGRADE INCLUDING DATA or ALTER TYPE CASCADE INCLUDING TABLE DATA for a type with read-only table dependents

• Online redefinition

• FLASHBACK TABLE

The following operations are permitted on a read-only table:

• SELECT

• CREATE/ALTER/DROP INDEX

• ALTER TABLE ADD/MODIFY/DROP/ENABLE/DISABLE CONSTRAINT

• ALTER TABLE for physical property changes

• ALTER TABLE DROP UNUSED COLUMNS

• ALTER TABLE ADD/COALESCE/MERGE/MODIFY/MOVE/RENAME/SPLIT (SUB)PARTITION

• ALTER TABLE MOVE

• ALTER TABLE ENABLE ROW MOVEMENT and ALTER TABLE SHRINK

• RENAME TABLE and ALTER TABLE RENAME TO

• DROP TABLE

• ALTER TABLE DEALLOCATE UNUSED

• ALTER TABLE ADD/DROP SUPPLEMENTAL LOG

Features of Online Table Redefinition

Online table redefinition enables you to:

• Modify the storage parameters of a table or cluster

• Move a table or cluster to a different tablespace

  Note:

  If it is not important to keep a table available for DML when moving it to another tablespace, you can use the simpler ALTER TABLE MOVE command. See "Moving a Table to a New Segment or Tablespace".

• Add, modify, or drop one or more columns in a table or cluster

• Add or drop partitioning support (non-clustered tables only)

• Change partition structure

• Change physical properties of a single table partition, including moving it to a different tablespace in the same schema

• Change physical properties of a materialized view log or an Oracle Streams Advanced Queuing queue table

• Add support for parallel queries

• Re-create a table or cluster to reduce fragmentation

  Note:

  In many cases, online segment shrink is an easier way to reduce fragmentation. See "Reclaiming Wasted Space".

• Change the organization of a normal table (heap organized) to an index-organized table, or do the reverse.

• Convert a relational table into a table with object columns, or do the reverse.

• Convert an object table into a relational table or a table with object columns, or do the reverse.

Performing Online Redefinition with DBMS_REDEFINITION

You use the DBMS_REDEFINITION package to perform online redefinition of a table. See Oracle Database PL/SQL Packages and Types Reference for package details.

To redefine a table online:

1. Choose the redefinition method: by key or by rowid

   By key—Select a primary key or pseudo-primary key to use for the redefinition. Pseudo-primary keys are unique keys with all component columns having NOT NULL constraints. For this method, the versions of the tables before and after redefinition should have the same primary key columns. This is the preferred and default method of redefinition.

   By rowid—Use this method if no key is available. In this method, a hidden column named M_ROW$$ is added to the post-redefined version of the table. It is recommended that this column be dropped or marked as unused after the redefinition is complete. If COMPATIBLE is set to 10.2.0 or higher, the final phase of redefinition automatically sets this column unused. You can then use the ALTER TABLE ... DROP UNUSED COLUMNS statement to drop it.

   You cannot use this method on index-organized tables.

2. Verify that the table can be redefined online by invoking the CAN_REDEF_TABLE procedure. If the table is not a candidate for online redefinition, then this procedure raises an error indicating why the table cannot be redefined online.

3. Create an empty interim table (in the same schema as the table to be redefined) with all of the desired logical and physical attributes. If columns are to be dropped, do not include them in the definition of the interim table. If a column is to be added, then add the column definition to the interim table. If a column is to be modified, create it in the interim table with the properties that you want.

   It is not necessary to create the interim table with all the indexes, constraints, grants, and triggers of the table being redefined, because these will be defined in step 7 when you copy dependent objects.

4. If redefining a partitioned table with the rowid method, enable row movement on the interim table.

   ALTER TABLE ... ENABLE ROW MOVEMENT;
   

5. (Optional) If you are redefining a large table and want to improve the performance of the next step by running it in parallel, issue the following statements:

   ALTER SESSION FORCE PARALLEL DML PARALLEL degree-of-parallelism;
   ALTER SESSION FORCE PARALLEL QUERY PARALLEL degree-of-parallelism;
   

6. Start the redefinition process by calling START_REDEF_TABLE, providing the following:

   • The schema and table name of the table to be redefined

   • The interim table name

   • A column mapping string that maps the columns of table to be redefined to the columns of the interim table

     See "Constructing a Column Mapping String" for details.

   • The redefinition method

     Package constants are provided for specifying the redefinition method. DBMS_REDEFINITION.CONS_USE_PK is used to indicate that the redefinition should be done using primary keys or pseudo-primary keys. DBMS_REDEFINITION.CONS_USE_ROWID is use to indicate that the redefinition should be done using rowids. If this argument is omitted, the default method of redefinition (CONS_USE_PK) is assumed.

   • Optionally, the columns to be used in ordering rows

   • If redefining only a single partition of a partitioned table, the partition name

   Because this process involves copying data, it may take a while. The table being redefined remains available for queries and DML during the entire process.

   Note:

   • You can query the DBA_REDEFINITION_OBJECTS view to list the objects currently involved in online redefinition.

   • If START_REDEF_TABLE fails for any reason, you must call ABORT_REDEF_TABLE, otherwise subsequent attempts to redefine the table will fail.

7. Copy dependent objects (such as triggers, indexes, materialized view logs, grants, and constraints) and statistics from the table being redefined to the interim table, using one of the following two methods. Method 1 is the preferred method because it is more automatic, but there may be times that you would choose to use method 2. Method 1 also enables you to copy table statistics to the interim table.

   • Method 1: Automatically Creating Dependent Objects

     Use the COPY_TABLE_DEPENDENTS procedure to automatically create dependent objects on the interim table. This procedure also registers the dependent objects. Registering the dependent objects enables the identities of these objects and their copied counterparts to be automatically swapped later as part of the redefinition completion process. The result is that when the redefinition is completed, the names of the dependent objects will be the same as the names of the original dependent objects.

     For more information, see "Creating Dependent Objects Automatically".

   • Method 2: Manually Creating Dependent Objects

     You can manually create dependent objects on the interim table and then register them. For more information, see "Creating Dependent Objects Manually".

     Note:

     In Oracle Database Release 9i, you were required to manually create the triggers, indexes, grants, and constraints on the interim table, and there may still be situations where you want to or must do so. In such cases, any referential constraints involving the interim table (that is, the interim table is either a parent or a child table of the referential constraint) must be created disabled. When online redefinition completes, the referential constraint is automatically enabled. In addition, until the redefinition process is either completed or aborted, any trigger defined on the interim table does not execute.

8. Execute the FINISH_REDEF_TABLE procedure to complete the redefinition of the table. During this procedure, the original table is locked in exclusive mode for a very short time, independent of the amount of data in the original table. However, FINISH_REDEF_TABLE will wait for all pending DML to commit before completing the redefinition.

9. If you used rowids for the redefinition and your COMPATIBLE initialization parameter is set to 10.1.0 or lower, drop or set UNUSED the hidden column M_ROW$$ that is now in the redefined table.

   ALTER TABLE table_name SET UNUSED (M_ROW$$);
   

   If COMPATIBLE is 10.2.0 or higher, this hidden column is automatically set UNUSED when redefinition completes. You can then drop the column with the ALTER TABLE ... DROP UNUSED COLUMNS statement.

10. Wait for any long-running queries against the interim table to complete, and then drop the interim table.

    If you drop the interim table while there are active queries running against it, you may encounter an ORA-08103 error ("object no longer exists").

[expression]  column_name

override*1.02  override_commission

Results of the Redefinition Process

The following are the end results of the redefinition process:

• The original table is redefined with the columns, indexes, constraints, grants, triggers, and statistics of the interim table.

• Dependent objects that were registered, either explicitly using REGISTER_DEPENDENT_OBJECT or implicitly using COPY_TABLE_DEPENDENTS, are renamed automatically so that dependent object names on the redefined table are the same as before redefinition.

  Note:

  If no registration is done or no automatic copying is done, then you must manually rename the dependent objects.

• The referential constraints involving the interim table now involve the redefined table and are enabled.

• Any indexes, triggers, materialized view logs, grants, and constraints defined on the original table (prior to redefinition) are transferred to the interim table and are dropped when the user drops the interim table. Any referential constraints involving the original table before the redefinition now involve the interim table and are disabled.

• Some PL/SQL objects, views, synonyms, and other table-dependent objects may become invalidated. Only those objects that depend on elements of the table that were changed are invalidated. For example, if a PL/SQL procedure queries only columns of the redefined table that were unchanged by the redefinition, the procedure remains valid. See "Managing Object Dependencies" for more information about schema object dependencies.

Performing Intermediate Synchronization

After the redefinition process has been started by calling START_REDEF_TABLE and before FINISH_REDEF_TABLE has been called, a large number of DML statements might have been executed on the original table. If you know that this is the case, it is recommended that you periodically synchronize the interim table with the original table. This is done by calling the SYNC_INTERIM_TABLE procedure. Calling this procedure reduces the time taken by FINISH_REDEF_TABLE to complete the redefinition process. There is no limit to the number of times that you can call SYNC_INTERIM_TABLE.

The small amount of time that the original table is locked during FINISH_REDEF_TABLE is independent of whether SYNC_INTERIM_TABLE has been called.

Aborting Online Table Redefinition and Cleaning Up After Errors

In the event that an error is raised during the redefinition process, or if you choose to terminate the redefinition process, call ABORT_REDEF_TABLE. This procedure drops temporary logs and tables associated with the redefinition process. After this procedure is called, you can drop the interim table and its dependent objects.

If the online redefinition process must be restarted, if you do not first call ABORT_REDEF_TABLE, subsequent attempts to redefine the table will fail.

Restrictions for Online Redefinition of Tables

The following restrictions apply to the online redefinition of tables:

• If the table is to be redefined using primary key or pseudo-primary keys (unique keys or constraints with all component columns having not null constraints), then the post-redefinition table must have the same primary key or pseudo-primary key columns. If the table is to be redefined using rowids, then the table must not be an index-organized table.

• After redefining a table that has a materialized view log, the subsequent refresh of any dependent materialized view must be a complete refresh.

• Tables that are replicated in an n-way master configuration can be redefined, but horizontal subsetting (subset of rows in the table), vertical subsetting (subset of columns in the table), and column transformations are not allowed.

• The overflow table of an index-organized table cannot be redefined online independently.

• Tables with fine-grained access control (row-level security) cannot be redefined online.

• Tables for which Flashback Data Archive is enabled cannot be redefined online. You cannot enable Flashback Data Archive for the interim table.

• Tables with BFILE columns cannot be redefined online.

• Tables with LONG columns can be redefined online, but those columns must be converted to CLOBS. Also, LONG RAW columns must be converted to BLOBS. Tables with LOB columns are acceptable.

• On a system with sufficient resources for parallel execution, and in the case where the interim table is not partitioned, redefinition of a LONG column to a LOB column can be executed in parallel, provided that:

  • The segment used to store the LOB column in the interim table belongs to a locally managed tablespace with Automatic Segment Space Management (ASSM) enabled.

  • There is a simple mapping from one LONG column to one LOB column, and the interim table has only one LOB column.

  In the case where the interim table is partitioned, the normal methods for parallel execution for partitioning apply.

• Tables in the SYS and SYSTEM schema cannot be redefined online.

• Temporary tables cannot be redefined.

• A subset of rows in the table cannot be redefined.

• Only simple deterministic expressions, sequences, and SYSDATE can be used when mapping the columns in the interim table to those of the original table. For example, subqueries are not allowed.

• If new columns are being added as part of the redefinition and there are no column mappings for these columns, then they must not be declared NOT NULL until the redefinition is complete.

• There cannot be any referential constraints between the table being redefined and the interim table.

• Table redefinition cannot be done NOLOGGING.

• For materialized view logs and queue tables, online redefinition is restricted to changes in physical properties. No horizontal or vertical subsetting is permitted, nor are any column transformations. The only valid value for the column mapping string is NULL.

• You cannot perform online redefinition on a table that is partitioned if the table includes one or more nested tables.

• You can convert a VARRAY to a nested table with the CAST operator in the column mapping. However, you cannot convert a nested table to a VARRAY.

• When the columns in the col_mapping parameter of the DBMS_REDEFINITION.START_REDEF_TABLE procedure include a sequence, the orderby_cols parameter must be NULL.

Online Redefinition of a Single Partition

Beginning with Oracle Database 10g Release 2, you can redefine online a single partition of a table. This is useful if, for example, you want to move a partition to a different tablespace and keep the partition available for DML during the operation.

Another use for this capability is redefining an entire table, but doing it one partition at a time to reduce resource requirements. For example, to move a very large table to a different tablespace, you can move it one partition at a time to minimize the free space and undo space required to complete the move.

Redefining a single partition differs from redefining a table in the following ways:

• There is no need to copy dependent objects. It is not valid to use the COPY_TABLE_DEPENDENTS procedure when redefining a single partition.

• You must manually create any local indexes on the interim table.

• The column mapping string for START_REDEF_TABLE must be NULL.

• When using the by-rowid method, the final phase of redefinition drops the hidden column M_ROW$$ instead of setting it unused.

Online Table Redefinition Examples

For the following examples, see Oracle Database PL/SQL Packages and Types Reference for descriptions of all DBMS_REDEFINITION subprograms.

Example 1

This example illustrates online redefinition of the previously created table hr.admin_emp, which at this point only contains columns: empno, ename, job, deptno. The table is redefined as follows:

• New columns mgr, hiredate, sal, and bonus are added. (These existed in the original table but were dropped in previous examples.)

• The new column bonus is initialized to 0

• The column deptno has its value increased by 10.

• The redefined table is partitioned by range on empno.

The steps in this redefinition are illustrated below.

1. Verify that the table is a candidate for online redefinition. In this case you specify that the redefinition is to be done using primary keys or pseudo-primary keys.

   BEGIN
     DBMS_REDEFINITION.CAN_REDEF_TABLE('hr','admin_emp',
         DBMS_REDEFINITION.CONS_USE_PK);
   END;
   /
   

2. Create an interim table hr.int_admin_emp.

   CREATE TABLE hr.int_admin_emp
           (empno      NUMBER(5) PRIMARY KEY,
            ename      VARCHAR2(15) NOT NULL,
            job        VARCHAR2(10),
            mgr        NUMBER(5),
            hiredate   DATE DEFAULT (sysdate),
            sal        NUMBER(7,2),
            deptno     NUMBER(3) NOT NULL,
            bonus      NUMBER (7,2) DEFAULT(1000))
        PARTITION BY RANGE(empno)
          (PARTITION emp1000 VALUES LESS THAN (1000) TABLESPACE admin_tbs,
           PARTITION emp2000 VALUES LESS THAN (2000) TABLESPACE admin_tbs2);
   

3. Start the redefinition process.

   BEGIN
     DBMS_REDEFINITION.START_REDEF_TABLE('hr', 'admin_emp','int_admin_emp',
          'empno empno, ename ename, job job, deptno+10 deptno, 0 bonus',
           dbms_redefinition.cons_use_pk);
   END;
   /
   

4. Copy dependent objects. (Automatically create any triggers, indexes, materialized view logs, grants, and constraints on hr.int_admin_emp.)

   DECLARE
   num_errors PLS_INTEGER;
   BEGIN
     DBMS_REDEFINITION.COPY_TABLE_DEPENDENTS('hr', 'admin_emp','int_admin_emp',
      DBMS_REDEFINITION.CONS_ORIG_PARAMS, TRUE, TRUE, TRUE, TRUE, num_errors);
   END;
   /
   

   Note that the ignore_errors argument is set to TRUE for this call. The reason is that the interim table was created with a primary key constraint, and when COPY_TABLE_DEPENDENTS attempts to copy the primary key constraint and index from the original table, errors occurs. You can ignore these errors, but you must run the query shown in the next step to see if there are other errors.

5. Query the DBA_REDEFINITION_ERRORS view to check for errors.

   SQL> select object_name, base_table_name, ddl_txt from
            DBA_REDEFINITION_ERRORS;
    
   OBJECT_NAME   BASE_TABLE_NAME  DDL_TXT
   ------------- ---------------- ------------------------------
   SYS_C005836   ADMIN_EMP        CREATE UNIQUE INDEX "HR"."TMP$
                                  $_SYS_C0058360" ON "HR"."INT_A
                                  DMIN_EMP" ("EMPNO")
    
   SYS_C005836   ADMIN_EMP        ALTER TABLE "HR"."INT_ADMIN_EM
                                  P" ADD CONSTRAINT "TMP$$_SYS_C
                                  0058360" PRIMARY KEY
   

   These errors are caused by the existing primary key constraint on the interim table and can be ignored. Note that with this approach, the names of the primary key constraint and index on the post-redefined table are changed. An alternate approach, one that avoids errors and name changes, would be to define the interim table without a primary key constraint. In this case, the primary key constraint and index are copied from the original table.

   Note:

   The best approach is to define the interim table with a primary key constraint, use REGISTER_DEPENDENT_OBJECT to register the primary key constraint and index, and then copy the remaining dependent objects with COPY_TABLE_DEPENDENTS. This approach avoids errors and ensures that the redefined table always has a primary key and that the dependent object names do not change.

6. Optionally, synchronize the interim table hr.int_admin_emp.

   BEGIN 
     DBMS_REDEFINITION.SYNC_INTERIM_TABLE('hr', 'admin_emp', 'int_admin_emp');
   END;
   /
   

7. Complete the redefinition.

   BEGIN
     DBMS_REDEFINITION.FINISH_REDEF_TABLE('hr', 'admin_emp', 'int_admin_emp');
   END;
   /
   

   The table hr.admin_emp is locked in the exclusive mode only for a small window toward the end of this step. After this call the table hr.admin_emp is redefined such that it has all the attributes of the hr.int_admin_emp table.

8. Wait for any long-running queries against the interim table to complete, and then drop the interim table.

Example 2

This example redefines a table to change columns into object attributes. The redefined table gets a new column that is an object type.

The original table, named CUSTOMER, is defined as follows:

Name         Type          
------------ ------------- 
CID          NUMBER            <- Primary key
NAME         VARCHAR2(30)  
STREET       VARCHAR2(100) 
CITY         VARCHAR2(30)  
STATE        VARCHAR2(2)   
ZIP          NUMBER(5)     

The type definition for the new object is:

CREATE TYPE ADDR_T AS OBJECT (  
   street VARCHAR2(100),        
   city VARCHAR2(30),           
   state VARCHAR2(2),           
   zip NUMBER(5, 0) );          

Here are the steps for this redefinition:

1. Verify that the table is a candidate for online redefinition. Specify that the redefinition is to be done using primary keys or pseudo-primary keys.

   BEGIN
     DBMS_REDEFINITION.CAN_REDEF_TABLE('STEVE','CUSTOMER',
           DBMS_REDEFINITION.CONS_USE_PK);
   END;
   /
   

2. Create the interim table int_customer.

   CREATE TABLE INT_CUSTOMER(
     CID NUMBER,
     NAME  VARCHAR2(30),          
     ADDR  ADDR_T);             
     
   

   Note that no primary key is defined on the interim table. When dependent objects are copied in step 5, the primary key constraint and index are copied.

3. Because CUSTOMER is a very large table, specify parallel operations for the next step.

   alter session force parallel dml parallel 4;
   alter session force parallel query parallel 4;
   

4. Start the redefinition process using primary keys.

   BEGIN
     DBMS_REDEFINITION.START_REDEF_TABLE(
      uname       => 'STEVE',
      orig_table  => 'CUSTOMER',
      int_table   => 'INT_CUSTOMER',
      col_mapping => 'cid cid,  name name,
         addr_t(street, city, state, zip) addr');
   END;
   /
   

   Note that addr_t(street, city, state, zip) is a call to the object constructor.

5. Copy dependent objects.

   DECLARE
   num_errors PLS_INTEGER;
   BEGIN
     DBMS_REDEFINITION.COPY_TABLE_DEPENDENTS(
      'STEVE','CUSTOMER','INT_CUSTOMER',DBMS_REDEFINITION.CONS_ORIG_PARAMS,
       TRUE, TRUE, TRUE, FALSE, num_errors, TRUE);
   END;
   /
   

   Note that for this call, the final argument indicates that table statistics are to be copied to the interim table.

6. Optionally synchronize the interim table.

   BEGIN 
     DBMS_REDEFINITION.SYNC_INTERIM_TABLE('STEVE', 'CUSTOMER', 'INT_CUSTOMER');
   END;
   /
   

7. Complete the redefinition.

   BEGIN
     DBMS_REDEFINITION.FINISH_REDEF_TABLE('STEVE', 'CUSTOMER', 'INT_CUSTOMER');
   END;
   /
   

8. Wait for any long-running queries against the interim table to complete, and then drop the interim table.

Example 3

This example addresses the situation where a dependent object must be manually created and registered.

Consider the case where a table T1 has a column named C1, and where this column becomes C2 after the redefinition. Assume that there is an index Index1 on C1. In this case, COPY_TABLE_DEPENDENTS tries to create an index on the interim table corresponding to Index1, and tries to create it on a column C1, which does not exist on the interim table. This results in an error. You must therefore manually create the index on column C2 and register it. Here are the steps:

1. Create the interim table INT_T1 and create an index Int_Index1 on column C2.

2. Ensure that T1 is a candidate for online redefinition with CAN_REDEF_TABLE, and then begin the redefinition process with START_REDEF_TABLE.

3. Register the original (Index1) and interim (Int_Index1) dependent objects.

   BEGIN
    DBMS_REDEFINITION.REGISTER_DEPENDENT_OBJECT(
      uname         => 'STEVE',
      orig_table    => 'T1',
      int_table     => 'INT_T1',
      dep_type      => DBMS_REDEFINITION.CONS_INDEX,
      dep_owner     => 'STEVE',
      dep_orig_name => 'Index1',
      dep_int_name  => 'Int_Index1');
   END;
   /
   

4. Use COPY_TABLE_DEPENDENTS to copy the remaining dependent objects.

5. Optionally synchronize the interim table.

6. Complete the redefinition and drop the interim table.

Example 4

This example demonstrates redefining a single partition. It moves the oldest partition of a range-partitioned sales table to a tablespace named TBS_LOW_FREQ. The table containing the partition to be redefined is defined as follows:

CREATE TABLE salestable
(s_productid NUMBER,
s_saledate DATE,
s_custid NUMBER,
s_totalprice NUMBER)
TABLESPACE users
PARTITION BY RANGE(s_saledate)
(PARTITION sal03q1 VALUES LESS THAN (TO_DATE('01-APR-2003', 'DD-MON-YYYY')),
PARTITION sal03q2 VALUES LESS THAN (TO_DATE('01-JUL-2003', 'DD-MON-YYYY')),
PARTITION sal03q3 VALUES LESS THAN (TO_DATE('01-OCT-2003', 'DD-MON-YYYY')),
PARTITION sal03q4 VALUES LESS THAN (TO_DATE('01-JAN-2004', 'DD-MON-YYYY')));

The table has a local partitioned index that is defined as follows:

CREATE INDEX sales_index ON salestable 
   (s_saledate, s_productid, s_custid) LOCAL;

Here are the steps. In the following procedure calls, note the extra argument: partition name (part_name).

1. Ensure that salestable is a candidate for redefinition.

   BEGIN
     DBMS_REDEFINITION.CAN_REDEF_TABLE(
      uname        => 'STEVE',
      tname        => 'SALESTABLE',
      options_flag => DBMS_REDEFINITION.CONS_USE_ROWID,
      part_name    => 'sal03q1');
   END;
   /
   

2. Create the interim table in the TBS_LOW_FREQ tablespace. Because this is a redefinition of a range partition, the interim table is nonpartitioned.

   CREATE TABLE int_salestable
   (s_productid NUMBER,
   s_saledate DATE,
   s_custid NUMBER,
   s_totalprice NUMBER)
   TABLESPACE tbs_low_freq;
   

3. Start the redefinition process using rowid.

   BEGIN
     DBMS_REDEFINITION.START_REDEF_TABLE(
      uname        => 'STEVE',
      orig_table   => 'salestable',
      int_table    => 'int_salestable',
      col_mapping  => NULL,
      options_flag => DBMS_REDEFINITION.CONS_USE_ROWID,
      part_name    => 'sal03q1');
   END;
   /
   

4. Manually create any local indexes on the interim table.

   CREATE INDEX int_sales_index ON int_salestable 
   (s_saledate, s_productid, s_custid)
   TABLESPACE tbs_low_freq; 
   

5. Optionally synchronize the interim table.

   BEGIN 
     DBMS_REDEFINITION.SYNC_INTERIM_TABLE(
      uname      => 'STEVE', 
      orig_table => 'salestable', 
      int_table  => 'int_salestable',
      part_name  => 'sal03q1');
   END;
   /
   

6. Complete the redefinition.

   BEGIN 
     DBMS_REDEFINITION.FINISH_REDEF_TABLE(
      uname      => 'STEVE', 
      orig_table => 'salestable', 
      int_table  => 'int_salestable',
      part_name  => 'sal03q1');
   END;
   /
   

7. Wait for any long-running queries against the interim table to complete, and then drop the interim table.

The following query shows that the oldest partition has been moved to the new tablespace:

select partition_name, tablespace_name from user_tab_partitions
 where table_name = 'SALESTABLE';
 
PARTITION_NAME                 TABLESPACE_NAME
------------------------------ ------------------------------
SAL03Q1                        TBS_LOW_FREQ
SAL03Q2                        USERS
SAL03Q3                        USERS
SAL03Q4                        USERS
 
4 rows selected.

Privileges Required for the DBMS_REDEFINITION Package

Execute privileges on the DBMS_REDEFINITION package are granted to EXECUTE_CATALOG_ROLE. In addition to having execute privileges on this package, you must be granted the following privileges:

• CREATE ANY TABLE

• ALTER ANY TABLE

• DROP ANY TABLE

• LOCK ANY TABLE

• SELECT ANY TABLE

The following additional privileges are required to execute COPY_TABLE_DEPENDENTS:

• CREATE ANY TRIGGER

• CREATE ANY INDEX

What Is the Recycle Bin?

The recycle bin is actually a data dictionary table containing information about dropped objects. Dropped tables and any associated objects such as indexes, constraints, nested tables, and the likes are not removed and still occupy space. They continue to count against user space quotas, until specifically purged from the recycle bin or the unlikely situation where they must be purged by the database because of tablespace space constraints.

Each user can be thought of as having his own recycle bin, because, unless a user has the SYSDBA privilege, the only objects that the user has access to in the recycle bin are those that the user owns. A user can view his objects in the recycle bin using the following statement:

SELECT * FROM RECYCLEBIN;

When you drop a tablespace including its contents, the objects in the tablespace are not placed in the recycle bin and the database purges any entries in the recycle bin for objects located in the tablespace. The database also purges any recycle bin entries for objects in a tablespace when you drop the tablespace, not including contents, and the tablespace is otherwise empty. Likewise:

• When you drop a user, any objects belonging to the user are not placed in the recycle bin and any objects in the recycle bin are purged.

• When you drop a cluster, its member tables are not placed in the recycle bin and any former member tables in the recycle bin are purged.

• When you drop a type, any dependent objects such as subtypes are not placed in the recycle bin and any former dependent objects in the recycle bin are purged.

Object Naming in the Recycle Bin

When a dropped table is moved to the recycle bin, the table and its associated objects are given system-generated names. This is necessary to avoid name conflicts that may arise if multiple tables have the same name. This could occur under the following circumstances:

• A user drops a table, re-creates it with the same name, then drops it again.

• Two users have tables with the same name, and both users drop their tables.

The renaming convention is as follows:

BIN$unique_id$version

where:

• unique_id is a 26-character globally unique identifier for this object, which makes the recycle bin name unique across all databases

• version is a version number assigned by the database

Enabling and Disabling the Recycle Bin

When the recycle bin is enabled, dropped tables and their dependent objects are placed in the recycle bin. When the recycle bin is disabled, dropped tables and their dependent objects are not placed in the recycle bin; they are just dropped, and you must use other means to recover them (such as recovering from backup).

Disabling the recycle bin does not purge or otherwise affect objects already in the recycle bin. The recycle bin is enabled by default.

You enable and disable the recycle bin by changing the recyclebin initialization parameter. This parameter is not dynamic, so a database restart is required when you change it with an ALTER SYSTEM statement.

To disable the recycle bin:

1. Issue one of the following statements:

   ALTER SESSION SET recyclebin = OFF;
   
   ALTER SYSTEM SET recyclebin = OFF SCOPE = SPFILE;
   

2. If you used ALTER SYSTEM, restart the database.

To enable the recycle bin:

1. Issue one of the following statements:

   ALTER SESSION SET recyclebin = ON;
   
   ALTER SYSTEM SET recyclebin = ON SCOPE = SPFILE;
   

2. If you used ALTER SYSTEM, restart the database.

Viewing and Querying Objects in the Recycle Bin

Oracle Database provides two views for obtaining information about objects in the recycle bin:

One use for these views is to identify the name that the database has assigned to a dropped object, as shown in the following example:

SELECT object_name, original_name FROM dba_recyclebin
   WHERE owner = 'HR';

OBJECT_NAME                    ORIGINAL_NAME
------------------------------ --------------------------------
BIN$yrMKlZaLMhfgNAgAIMenRA==$0 EMPLOYEES

You can also view the contents of the recycle bin using the SQL*Plus command SHOW RECYCLEBIN.

SQL> show recyclebin

ORIGINAL NAME    RECYCLEBIN NAME                OBJECT TYPE  DROP TIME
---------------- ------------------------------ ------------ -------------------
EMPLOYEES        BIN$yrMKlZaVMhfgNAgAIMenRA==$0 TABLE        2003-10-27:14:00:19

You can query objects that are in the recycle bin, just as you can query other objects. However, you must specify the name of the object as it is identified in the recycle bin. For example:

SELECT * FROM "BIN$yrMKlZaVMhfgNAgAIMenRA==$0";

Purging Objects in the Recycle Bin

If you decide that you are never going to restore an item from the recycle bin, you can use the PURGE statement to remove the items and their associated objects from the recycle bin and release their storage space. You need the same privileges as if you were dropping the item.

When you use the PURGE statement to purge a table, you can use the name that the table is known by in the recycle bin or the original name of the table. The recycle bin name can be obtained from either the DBA_ or USER_RECYCLEBIN view as shown in "Viewing and Querying Objects in the Recycle Bin". The following hypothetical example purges the table hr.int_admin_emp, which was renamed to BIN$jsleilx392mk2=293$0 when it was placed in the recycle bin:

PURGE TABLE "BIN$jsleilx392mk2=293$0";

You can achieve the same result with the following statement:

PURGE TABLE int_admin_emp;

You can use the PURGE statement to purge all the objects in the recycle bin that are from a specified tablespace or only the tablespace objects belonging to a specified user, as shown in the following examples:

PURGE TABLESPACE example;
PURGE TABLESPACE example USER oe;

Users can purge the recycle bin of their own objects, and release space for objects, by using the following statement:

PURGE RECYCLEBIN;

If you have the SYSDBA privilege, then you can purge the entire recycle bin by specifying DBA_RECYCLEBIN, instead of RECYCLEBIN in the previous statement.

You can also use the PURGE statement to purge an index from the recycle bin or to purge from the recycle bin all objects in a specified tablespace.

Restoring Tables from the Recycle Bin

Use the FLASHBACK TABLE ... TO BEFORE DROP statement to recover objects from the recycle bin. You can specify either the name of the table in the recycle bin or the original table name. An optional RENAME TO clause lets you rename the table as you recover it. The recycle bin name can be obtained from either the DBA_ or USER_RECYCLEBIN view as shown in "Viewing and Querying Objects in the Recycle Bin". To use the FLASHBACK TABLE ... TO BEFORE DROP statement, you need the same privileges required to drop the table.

The following example restores int_admin_emp table and assigns to it a new name:

FLASHBACK TABLE int_admin_emp TO BEFORE DROP 
   RENAME TO int2_admin_emp;

The system-generated recycle bin name is very useful if you have dropped a table multiple times. For example, suppose you have three versions of the int2_admin_emp table in the recycle bin and you want to recover the second version. You can do this by issuing two FLASHBACK TABLE statements, or you can query the recycle bin and then flashback to the appropriate system-generated name, as shown in the following example. Including the create time in the query can help you verify that you are restoring the correct table.

SELECT object_name, original_name, createtime FROM recyclebin;    

OBJECT_NAME                    ORIGINAL_NAME   CREATETIME
------------------------------ --------------- -------------------
BIN$yrMKlZaLMhfgNAgAIMenRA==$0 INT2_ADMIN_EMP  2006-02-05:21:05:52
BIN$yrMKlZaVMhfgNAgAIMenRA==$0 INT2_ADMIN_EMP  2006-02-05:21:25:13
BIN$yrMKlZaQMhfgNAgAIMenRA==$0 INT2_ADMIN_EMP  2006-02-05:22:05:53

FLASHBACK TABLE "BIN$yrMKlZaVMhfgNAgAIMenRA==$0" TO BEFORE DROP;

Restoring Dependent Objects

When you restore a table from the recycle bin, dependent objects such as indexes do not get their original names back; they retain their system-generated recycle bin names. You must manually rename dependent objects to restore their original names. If you plan to manually restore original names for dependent objects, ensure that you make note of each dependent object's system-generated recycle bin name before you restore the table.

The following is an example of restoring the original names of some of the indexes of the dropped table JOB_HISTORY, from the HR sample schema. The example assumes that you are logged in as the HR user.

1. After dropping JOB_HISTORY and before restoring it from the recycle bin, run the following query:

   SELECT OBJECT_NAME, ORIGINAL_NAME, TYPE FROM RECYCLEBIN;
   
   OBJECT_NAME                    ORIGINAL_NAME             TYPE
   ------------------------------ ------------------------- --------
   BIN$DBo9UChtZSbgQFeMiAdCcQ==$0 JHIST_JOB_IX              INDEX
   BIN$DBo9UChuZSbgQFeMiAdCcQ==$0 JHIST_EMPLOYEE_IX         INDEX
   BIN$DBo9UChvZSbgQFeMiAdCcQ==$0 JHIST_DEPARTMENT_IX       INDEX
   BIN$DBo9UChwZSbgQFeMiAdCcQ==$0 JHIST_EMP_ID_ST_DATE_PK   INDEX
   BIN$DBo9UChxZSbgQFeMiAdCcQ==$0 JOB_HISTORY               TABLE
   

2. Restore the table with the following command:

   FLASHBACK TABLE JOB_HISTORY TO BEFORE DROP;
   

3. Run the following query to verify that all JOB_HISTORY indexes retained their system-generated recycle bin names:

   SELECT INDEX_NAME FROM USER_INDEXES WHERE TABLE_NAME = 'JOB_HISTORY';
    
   INDEX_NAME
   ------------------------------
   BIN$DBo9UChwZSbgQFeMiAdCcQ==$0
   BIN$DBo9UChtZSbgQFeMiAdCcQ==$0
   BIN$DBo9UChuZSbgQFeMiAdCcQ==$0
   BIN$DBo9UChvZSbgQFeMiAdCcQ==$0
   

4. Restore the original names of the first two indexes as follows:

   ALTER INDEX "BIN$DBo9UChtZSbgQFeMiAdCcQ==$0" RENAME TO JHIST_JOB_IX;
   ALTER INDEX "BIN$DBo9UChuZSbgQFeMiAdCcQ==$0" RENAME TO JHIST_EMPLOYEE_IX;
   

   Note that double quotes are required around the system-generated names.

What Are Index-Organized Tables?

An index-organized table has a storage organization that is a variant of a primary B-tree. Unlike an ordinary (heap-organized) table whose data is stored as an unordered collection (heap), data for an index-organized table is stored in a B-tree index structure in a primary key sorted manner. Each leaf block in the index structure stores both the key and nonkey columns.

The structure of an index-organized table provides the following benefits:

• Fast random access on the primary key because an index-only scan is sufficient. And, because there is no separate table storage area, changes to the table data (such as adding new rows, updating rows, or deleting rows) result only in updating the index structure.

• Fast range access on the primary key because the rows are clustered in primary key order.

• Lower storage requirements because duplication of primary keys is avoided. They are not stored both in the index and underlying table, as is true with heap-organized tables.

Index-organized tables have full table functionality. They support features such as constraints, triggers, LOB and object columns, partitioning, parallel operations, online reorganization, and replication. And, they offer these additional features:

• Key compression

• Overflow storage area and specific column placement

• Secondary indexes, including bitmap indexes.

Index-organized tables are ideal for OLTP applications, which require fast primary key access and high availability. Queries and DML on an orders table used in electronic order processing are predominantly primary-key based and heavy volume causes fragmentation resulting in a frequent need to reorganize. Because an index-organized table can be reorganized online and without invalidating its secondary indexes, the window of unavailability is greatly reduced or eliminated.

Index-organized tables are suitable for modeling application-specific index structures. For example, content-based information retrieval applications containing text, image and audio data require inverted indexes that can be effectively modeled using index-organized tables. A fundamental component of an internet search engine is an inverted index that can be modeled using index-organized tables.

These are but a few of the applications for index-organized tables.

Creating Index-Organized Tables

You use the CREATE TABLE statement to create index-organized tables, but you must provide additional information:

• An ORGANIZATION INDEX qualifier, which indicates that this is an index-organized table

• A primary key, specified through a column constraint clause (for a single column primary key) or a table constraint clause (for a multiple-column primary key).

Optionally, you can specify the following:

• An OVERFLOW clause, which preserves dense clustering of the B-tree index by enabling the storage of some of the nonkey columns in a separate overflow data segment.

• A PCTTHRESHOLD value, which, when an overflow segment is being used, defines the maximum size of the portion of the row that is stored in the index block, as a percentage of block size. Rows columns that would cause the row size to exceed this maximum are stored in the overflow segment. The row is broken at a column boundary into two pieces, a head piece and tail piece. The head piece fits in the specified threshold and is stored along with the key in the index leaf block. The tail piece is stored in the overflow area as one or more row pieces. Thus, the index entry contains the key value, the nonkey column values that fit the specified threshold, and a pointer to the rest of the row.

• An INCLUDING clause, which can be used to specify the nonkey columns that are to be stored in the index block with the primary key.

CREATE TABLE admin_docindex(
        token char(20), 
        doc_id NUMBER,
        token_frequency NUMBER,
        token_offsets VARCHAR2(2000),
        CONSTRAINT pk_admin_docindex PRIMARY KEY (token, doc_id))
    ORGANIZATION INDEX 
    TABLESPACE admin_tbs
    PCTTHRESHOLD 20
    OVERFLOW TABLESPACE admin_tbs2;

CREATE OR REPLACE TYPE admin_typ AS OBJECT
    (col1 NUMBER, col2 VARCHAR2(6));
CREATE TABLE admin_iot (c1 NUMBER primary key, c2 admin_typ)
    ORGANIZATION INDEX;

CREATE TABLE admin_iot2 OF admin_typ (col1 PRIMARY KEY)
    ORGANIZATION INDEX;

CREATE TYPE project_t AS OBJECT(pno NUMBER, pname VARCHAR2(80));
/
CREATE TYPE project_set AS TABLE OF project_t;
/
CREATE TABLE proj_tab (eno NUMBER, projects PROJECT_SET)
    NESTED TABLE projects STORE AS emp_project_tab
                ((PRIMARY KEY(nested_table_id, pno)) 
    ORGANIZATION INDEX)
    RETURN AS LOCATOR;

CREATE TABLE admin_iot4(a INT, b INT, c INT, d INT, 
                primary key(c,b))
    ORGANIZATION INDEX;

CREATE TABLE admin_docindex2(
        token CHAR(20), 
        doc_id NUMBER,
        token_frequency NUMBER,
        token_offsets VARCHAR2(2000),
        CONSTRAINT pk_admin_docindex2 PRIMARY KEY (token, doc_id))
    ORGANIZATION INDEX 
    TABLESPACE admin_tbs
    PCTTHRESHOLD 20
    INCLUDING token_frequency
    OVERFLOW TABLESPACE admin_tbs2;

CREATE TABLE admin_iot3(i PRIMARY KEY, j, k, l) 
     ORGANIZATION INDEX 
     PARALLEL
     AS SELECT * FROM hr.jobs;

CREATE TABLE admin_iot5(i INT, j INT, k INT, l INT, PRIMARY KEY (i, j, k)) 
    ORGANIZATION INDEX COMPRESS;

CREATE TABLE admin_iot6(i INT, j INT, k INT, l INT, PRIMARY KEY(i, j, k)) 
    ORGANIZATION INDEX COMPRESS 2;

CREATE TABLE admin_iot7(i INT, j INT, k INT, l INT, PRIMARY KEY (i, j, k)) 
    ORGANIZATION INDEX COMPRESS 1;

ALTER TABLE admin_iot5 MOVE NOCOMPRESS;

Maintaining Index-Organized Tables

Index-organized tables differ from ordinary tables only in physical organization. Logically, they are manipulated in the same manner as ordinary tables. You can specify an index-organized table just as you would specify a regular table in INSERT, SELECT, DELETE, and UPDATE statements.

ALTER TABLE admin_docindex INITRANS 4 OVERFLOW INITRANS 6;

ALTER TABLE admin_docindex PCTTHRESHOLD 15 INCLUDING doc_id;

ALTER TABLE admin_iot3 ADD OVERFLOW TABLESPACE admin_tbs2;

ALTER TABLE admin_docindex MOVE;

ALTER TABLE admin_docindex MOVE ONLINE;

ALTER TABLE admin_docindex MOVE TABLESPACE admin_tbs2 
    OVERFLOW TABLESPACE admin_tbs3;

CREATE TABLE admin_iot_lob
   (c1 number (6) primary key,
    admin_lob CLOB)
   ORGANIZATION INDEX
   LOB (admin_lob) STORE AS (TABLESPACE admin_tbs2);
.
.
.
ALTER TABLE admin_iot_lob MOVE LOB (admin_lob) STORE AS (TABLESPACE admin_tbs3); 

Creating Secondary Indexes on Index-Organized Tables

You can create secondary indexes on an index-organized tables to provide multiple access paths. Secondary indexes on index-organized tables differ from indexes on ordinary tables in two ways:

• They store logical rowids instead of physical rowids. This is necessary because the inherent movability of rows in a B-tree index results in the rows having no permanent physical addresses. If the physical location of a row changes, its logical rowid remains valid. One effect of this is that a table maintenance operation, such as ALTER TABLE ... MOVE, does not make the secondary index unusable.

• The logical rowid also includes a physical guess which identifies the database block address at which the row is likely to be found. If the physical guess is correct, a secondary index scan would incur a single additional I/O once the secondary key is found. The performance would be similar to that of a secondary index-scan on an ordinary table.

Unique and non-unique secondary indexes, function-based secondary indexes, and bitmap indexes are supported as secondary indexes on index-organized tables.

CREATE INDEX Doc_id_index on Docindex(Doc_id, Token);

SELECT Token FROM Docindex WHERE Doc_id = 1;

Analyzing Index-Organized Tables

Just like ordinary tables, index-organized tables are analyzed using the DBMS_STATS package, or the ANALYZE statement.

EXECUTE DBMS_STATS.GATHER_TABLE_STATS ('HR','COUNTRIES');

Using the ORDER BY Clause with Index-Organized Tables

If an ORDER BY clause only references the primary key column or a prefix of it, then the optimizer avoids the sorting overhead, as the rows are returned sorted on the primary key columns.

The following queries avoid sorting overhead because the data is already sorted on the primary key:

SELECT * FROM admin_docindex2 ORDER BY token, doc_id;
SELECT * FROM admin_docindex2 ORDER BY token;

If, however, you have an ORDER BY clause on a suffix of the primary key column or non-primary-key columns, additional sorting is required (assuming no other secondary indexes are defined).

SELECT * FROM admin_docindex2 ORDER BY doc_id;
SELECT * FROM admin_docindex2 ORDER BY token_frequency;

Converting Index-Organized Tables to Regular Tables

You can convert index-organized tables to regular (heap organized) tables using the Oracle import or export utilities, or the CREATE TABLE...AS SELECT statement.

To convert an index-organized table to a regular table:

• Export the index-organized table data using conventional path.

• Create a regular table definition with the same definition.

• Import the index-organized table data, making sure IGNORE=y (ensures that object exists error is ignored).

  Note:

  Before converting an index-organized table to a regular table, be aware that index-organized tables cannot be exported using pre-Oracle8 versions of the Export utility.

  See Also:

  Oracle Database Utilities for more details about using the original IMP and EXP utilities and the Data Pump import and export utilities

About External Tables

Oracle Database allows you read-only access to data in external tables. External tables are defined as tables that do not reside in the database, and can be in any format for which an access driver is provided. By providing the database with metadata describing an external table, the database is able to expose the data in the external table as if it were data residing in a regular database table. The external data can be queried directly and in parallel using SQL.

You can, for example, select, join, or sort external table data. You can also create views and synonyms for external tables. However, no DML operations (UPDATE, INSERT, or DELETE) are possible, and no indexes can be created, on external tables.

External tables provide a framework to unload the result of an arbitrary SELECT statement into a platform-independent Oracle-proprietary format that can be used by Oracle Data Pump. External tables provide a valuable means for performing basic extraction, transformation, and loading (ETL) tasks that are common for data warehousing.

The means of defining the metadata for external tables is through the CREATE TABLE...ORGANIZATION EXTERNAL statement. This external table definition can be thought of as a view that allows running any SQL query against external data without requiring that the external data first be loaded into the database. An access driver is the actual mechanism used to read the external data in the table. When you use external tables to unload data, the metadata is automatically created based on the data types in the SELECT statement.

Oracle Database provides two access drivers for external tables. The default access driver is ORACLE_LOADER, which allows the reading of data from external files using the Oracle loader technology. The ORACLE_LOADER access driver provides data mapping capabilities which are a subset of the control file syntax of SQL*Loader utility. The second access driver, ORACLE_DATAPUMP, lets you unload data—that is, read data from the database and insert it into an external table, represented by one or more external files—and then reload it into an Oracle Database.

External Table Restrictions

The following are restrictions on external tables:

• The ANALYZE statement is not supported for gathering statistics for external tables. Use the DBMS_STATS package instead.

• Virtual columns are not supported

Creating External Tables

You create external tables using the CREATE TABLE statement with an ORGANIZATION EXTERNAL clause. This statement creates only metadata in the data dictionary.

The following example creates an external table and then uploads the data to a database table. Alternatively, you can unload data through the external table framework by specifying the AS subquery clause of the CREATE TABLE statement. External table data pump unload can use only the ORACLE_DATAPUMP access driver.

EXAMPLE: Creating an External Table and Loading Data

In this example, the data for the external table resides in the two text files empxt1.dat and empxt2.dat.

The file empxt1.dat contains the following sample data:

360,Jane,Janus,ST_CLERK,121,17-MAY-2001,3000,0,50,jjanus
361,Mark,Jasper,SA_REP,145,17-MAY-2001,8000,.1,80,mjasper
362,Brenda,Starr,AD_ASST,200,17-MAY-2001,5500,0,10,bstarr
363,Alex,Alda,AC_MGR,145,17-MAY-2001,9000,.15,80,aalda

The file empxt2.dat contains the following sample data:

401,Jesse,Cromwell,HR_REP,203,17-MAY-2001,7000,0,40,jcromwel
402,Abby,Applegate,IT_PROG,103,17-MAY-2001,9000,.2,60,aapplega
403,Carol,Cousins,AD_VP,100,17-MAY-2001,27000,.3,90,ccousins
404,John,Richardson,AC_ACCOUNT,205,17-MAY-2001,5000,0,110,jrichard

The following SQL statements create an external table named admin_ext_employees in the hr schema and load data from the external table into the hr.employees table.

CONNECT  /  AS SYSDBA;
-- Set up directories and grant access to hr 
CREATE OR REPLACE DIRECTORY admin_dat_dir
    AS '/flatfiles/data'; 
CREATE OR REPLACE DIRECTORY admin_log_dir 
    AS '/flatfiles/log'; 
CREATE OR REPLACE DIRECTORY admin_bad_dir 
    AS '/flatfiles/bad'; 
GRANT READ ON DIRECTORY admin_dat_dir TO hr; 
GRANT WRITE ON DIRECTORY admin_log_dir TO hr; 
GRANT WRITE ON DIRECTORY admin_bad_dir TO hr;
-- hr connects. Provide the user password (hr) when prompted.
CONNECT hr
-- create the external table
CREATE TABLE admin_ext_employees
                   (employee_id       NUMBER(4), 
                    first_name        VARCHAR2(20),
                    last_name         VARCHAR2(25), 
                    job_id            VARCHAR2(10),
                    manager_id        NUMBER(4),
                    hire_date         DATE,
                    salary            NUMBER(8,2),
                    commission_pct    NUMBER(2,2),
                    department_id     NUMBER(4),
                    email             VARCHAR2(25) 
                   ) 
     ORGANIZATION EXTERNAL 
     ( 
       TYPE ORACLE_LOADER 
       DEFAULT DIRECTORY admin_dat_dir 
       ACCESS PARAMETERS 
       ( 
         records delimited by newline 
         badfile admin_bad_dir:'empxt%a_%p.bad' 
         logfile admin_log_dir:'empxt%a_%p.log' 
         fields terminated by ',' 
         missing field values are null 
         ( employee_id, first_name, last_name, job_id, manager_id, 
           hire_date char date_format date mask "dd-mon-yyyy", 
           salary, commission_pct, department_id, email 
         ) 
       ) 
       LOCATION ('empxt1.dat', 'empxt2.dat') 
     ) 
     PARALLEL 
     REJECT LIMIT UNLIMITED; 
-- enable parallel for loading (good if lots of data to load)
ALTER SESSION ENABLE PARALLEL DML;
-- load the data in hr employees table
INSERT INTO employees (employee_id, first_name, last_name, job_id, manager_id,
                       hire_date, salary, commission_pct, department_id, email) 
            SELECT * FROM admin_ext_employees;

The following paragraphs contain descriptive information about this example.

The first few statements in this example create the directory objects for the operating system directories that contain the data sources, and for the bad record and log files specified in the access parameters. You must also grant READ or WRITE directory object privileges, as appropriate.

The TYPE specification indicates the access driver of the external table. The access driver is the API that interprets the external data for the database. If you omit the TYPE specification, ORACLE_LOADER is the default access driver. You must specify the ORACLE_DATAPUMP access driver if you specify the AS subquery clause to unload data from one Oracle Database and reload it into the same or a different Oracle Database.

The access parameters, specified in the ACCESS PARAMETERS clause, are opaque to the database. These access parameters are defined by the access driver, and are provided to the access driver by the database when the external table is accessed. See Oracle Database Utilities for a description of the ORACLE_LOADER access parameters.

The PARALLEL clause enables parallel query on the data sources. The granule of parallelism is by default a data source, but parallel access within a data source is implemented whenever possible. For example, if PARALLEL=3 were specified, then multiple parallel execution servers could be working on a data source. But, parallel access within a data source is provided by the access driver only if all of the following conditions are met:

• The media allows random positioning within a data source

• It is possible to find a record boundary from a random position

• The data files are large enough to make it worthwhile to break up into multiple chunks

  Note:

  Specifying a PARALLEL clause is of value only when dealing with large amounts of data. Otherwise, it is not advisable to specify a PARALLEL clause, and doing so can be detrimental.

The REJECT LIMIT clause specifies that there is no limit on the number of errors that can occur during a query of the external data. For parallel access, this limit applies to each parallel execution server independently. For example, if REJECT LIMIT is specified, each parallel query process is allowed 10 rejections. Hence, the only precisely enforced values for REJECT LIMIT on parallel query are 0 and UNLIMITED.

In this example, the INSERT INTO TABLE statement generates a dataflow from the external data source to the Oracle Database SQL engine where data is processed. As data is parsed by the access driver from the external table sources and provided to the external table interface, the external data is converted from its external representation to its Oracle Database internal data type.

Altering External Tables

You can use any of the ALTER TABLE clauses shown in Table 20-5 to change the characteristics of an external table. No other clauses are permitted.

ALTER TABLE admin_ext_employees
   REJECT LIMIT 100;

ALTER TABLE admin_ext_employees
   PROJECT COLUMN REFERENCED;

ALTER TABLE admin_ext_employees
   PROJECT COLUMN ALL;

ALTER TABLE admin_ext_employees 
    DEFAULT DIRECTORY admin_dat2_dir;

Preprocessing External Tables

External tables can be preprocessed by user-supplied preprocessor programs. By using a preprocessing program, users can use data from a file that is not in a format supported by the driver. For example, a user may want to access data stored in a compressed format. Specifying a decompression program for the ORACLE_LOADER access driver allows the data to be decompressed as the access driver processes the data.

To use the preprocessing feature, you must specify the PREPROCESSOR clause in the access parameters of the ORACLE_LOADER access driver. The preprocessor must be a directory object, and the user accessing the external table must have EXECUTE privileges for the directory object. The following example includes the PREPROCESSOR clause and specifies the directory and preprocessor program.

CREATE TABLE sales_transactions_ext
(PROD_ID NUMBER,
 CUST_ID NUMBER,
 TIME_ID DATE,
 CHANNEL_ID CHAR,
 PROMO_ID NUMBER,
 QUANTITY_SOLD NUMBER,
 AMOUNT_SOLD NUMBER(10,2),
 UNIT_COST NUMBER(10,2),
 UNIT_PRICE NUMBER(10,2))
ORGANIZATION external
(TYPE oracle_loader
 DEFAULT DIRECTORY data_file_dir
 ACCESS PARAMETERS
  (RECORDS DELIMITED BY NEWLINE
   CHARACTERSET AL32UTF8
   PREPROCESSOR exec_file_dir:'zcat'
   BADFILE log_file_dir:'sh_sales.bad_xt'
   LOGFILE log_file_dir:'sh_sales.log_xt'
   FIELDS TERMINATED BY "|" LDRTRIM
  ( PROD_ID,
    CUST_ID,
    TIME_ID,
    CHANNEL_ID,
    PROMO_ID,
    QUANTITY_SOLD,
    AMOUNT_SOLD,
    UNIT_COST,
    UNIT_PRICE))
 location ('sh_sales.dat.gz')
)REJECT LIMIT UNLIMITED;

The PREPROCESSOR clause is not available for databases that use Oracle Database Vault.

Dropping External Tables

For an external table, the DROP TABLE statement removes only the table metadata in the database. It has no affect on the actual data, which resides outside of the database.

System and Object Privileges for External Tables

System and object privileges for external tables are a subset of those for regular table. Only the following system privileges are applicable to external tables:

• CREATE ANY TABLE

• ALTER ANY TABLE

• DROP ANY TABLE

• SELECT ANY TABLE

Only the following object privileges are applicable to external tables:

• ALTER

• SELECT

However, object privileges associated with a directory are:

• READ

• WRITE

For external tables, READ privileges are required on directory objects that contain data sources, while WRITE privileges are required for directory objects containing bad, log, or discard files.