EasyReliableDBA: How to do Table Partitioning in Oracle with Example

Table Partitioning

Partitioning allows tables, indexes, and index-organized tables to be subdivided into smaller pieces,
enabling these database objects to be managed and accessed at a finer level of granularity.

Partition pruning - selecting from specific partition is called as partition pruning. adding predicates to the where clause including the partition key(partition columns)

Advantages of Partitioning

Partitioning enables data management operations such data loads, index creation and rebuilding, and backup/recovery at the partition level, rather than on the entire table. This results in significantly reduced times for these operations.
Partitioning improves query performance.
Partitioning can significantly reduce the impact of scheduled downtime for maintenance operations.
Partition independence for partition maintenance operations lets you perform concurrent maintenance operations on different partitions of the same table or index.
Partitioning increases the availability of mission-critical databases if critical tables and indexes are divided into partitions to reduce the maintenance windows, recovery times, and impact of failures.
Partitioning can be implemented without requiring any modifications to your applications.

For example, you could convert a non-partitioned table to a partitioned table without needing
to modify any of the SELECT statements or DML statements which access that table. You do not
need to rewrite

Partitioning Methods

Oracle provides the following partitioning methods:

• Range Partitioning

Divide the table based on a range of values.

• List Partitioning

Divide the table based on a list of values.

• Hash Partitioning

Divide the table based on hash key generated from the values of a column.

• Composite Partitioning

Helps in dividing your partition into sub partitions, by combining various partitioning
methods.

Range-Hash composite Partition

CREATE TABLE invoices

(invoice_no NUMBER NOT NULL,

invoice_date DATE NOT NULL,

comments VARCHAR2(500))

PARTITION BY RANGE (invoice_date)

SUBPARTITION BY HASH (invoice_no)

SUBPARTITIONS 8

(PARTITION invoices_q1 VALUES LESS THAN (TO_DATE('01/04/2001', 'DD/MM/YYYY')),

PARTITION invoices_q2 VALUES LESS THAN (TO_DATE('01/07/2001', 'DD/MM/YYYY')),

PARTITION invoices_q3 VALUES LESS THAN (TO_DATE('01/09/2001', 'DD/MM/YYYY')),

PARTITION invoices_q4 VALUES LESS THAN (TO_DATE('01/01/2002', 'DD/MM/YYYY'));

• Interval Partitioning

Interval Partitioning automatically creates time-based partitions as new data is added

Interval Table Partition in Oracle

Once your table has been partitioned, you may come across a problem in the maintenance of the data.

Let us say that the partitioning is based on the value of the PUBLISHED_DATE of a CD or phonograph record.

For example, when you insert a row with a date, the row is inserted into the first partition. Later,

you discover that the date is incorrect. You attempt to update the date, but you get an error message:

ORA-14402: updating partition key column would cause a partition change

Oracle has stopped the update because it would cause the row to belong to a different partition.

Oracle has implemented a new feature, called row movement, which allows you to make this kind of update.

When you complete the update, the row moves to the appropriate partition automatically.

Enable Row Movement

To change a partitioned table to allow row movement, use this command:

ALTER TABLE tablename ENABLE ROW MOVEMENT;

To change it back to not allowing row movement, use this command:

ALTER TABLE tablename DISABLE ROW MOVEMENT;

The next lesson covers renaming, moving, and coalescing partitions.

Row movement: The automatic shifting of a row from one partition to another when the value of the partitioning column in the row changes

so that the row belongs in a different partition.

Interval partitioning is an enhancement to range partitioning in Oracle 11g and interval partitioning automatically creates time-based partitions as new data is added.

Range partitioning allows an object to be partitioned by a specified range on the partitioning key. For example, if a table was used to store sales data, it might be range partitioned by a DATE column, with each month in a different partition.

Therefore, every month a new partition would need to be defined in order to store rows for that month. If a row was inserted for a new month before a partition was defined for that month, the following error would result:

ORA-14400: inserted partition key does not map to any partition

If this situation occurs, data loading will fail until the new partitions are created. This can cause serious problems in larger data warehouses where complex reporting has many steps and dependencies in a batch process. Mission critical reports might be delayed or incorrect due to this problem.

An Interval Partitioning Example

Interval partitioning can simplify the manageability by automatically creating the new partitions as needed by the data. Interval partitioning is enabled in the table's definition by defining one or more range partitions and including a specified interval. For example, consider the following table:

create table pos_data (

start_date DATE,

store_id NUMBER,

inventory_id NUMBER(6),

qty_sold NUMBER(3)

)

PARTITION BY RANGE (start_date)

INTERVAL(NUMTOYMINTERVAL(1, 'MONTH'))

(

PARTITION pos_data_p2 VALUES LESS THAN (TO_DATE('1-7-2007', 'DD-MM-YYYY')),

PARTITION pos_data_p3 VALUES LESS THAN (TO_DATE('1-8-2007', 'DD-MM-YYYY'))

);

Here, two partitions have been defined and an interval of one month has been specified. If data is loaded into this table with a later date than the greatest defined partition, Oracle will automatically create a new partition for the new month. In the table above, the greatest defined interval is between July 1, 2015 and August 1, 2015.

Inserting a row that has a date later than August 1, 2015 would raise an error with normal range partitioning. However, with interval partitioning, Oracle determines the high value of the defined range partitions, called the transition point, and creates new partitions for data that is beyond that high value.

insert into pos_data (start_date, store_id, inventory_id, qty_sold)

values ( '15-AUG-07', 1, 1, 1);

SELECT TABLE_NAME,PARTITION_NAME,PARTITION_POSITION,HIGH_VALUE

FROM DBA_TAB_PARTITIONS WHERE

TABLE_NAME='POS_DATA'

ORDER BY PARTITION_NAME;

PARTITION_NAME HIGH_VALUE

POS_DATA_P0 TO_DATE(' 2015-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

POS_DATA_P1 TO_DATE(' 2015-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

SYS_P81 TO_DATE(' 2015-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

Notice that a system generated partition named SYS_P81 has been created upon inserting a row with a partition key greater than the transition point. Oracle will manage the creation of new partitions for any value beyond the high value. Therefore, the values do not need to be inserted in sequence.

Since the partitions are named automatically, Oracle has added a new syntax in order to reference specific partitions effectively. The normal way to reference a specific partition is to use the partition (partition_name) in the query:

select * from pos_data partition (SYS_P81);

However, it would be cumbersome to look up the system generated partition name each time. Therefore, the new syntax to specify a partition is by using the partition for (DATE) clause in the query:

select * from pos_data partition for (to_date('15-AUG-2007','dd-mon-yyyy'));

Another useful feature of partitioning is the ability to distribute partitions across different tablespaces. With interval partitioning, this can be accomplished by naming all of the tablespaces in the table definition's "store in" clause. The system created partitions are then assigned to different tablespaces in a round robin manner. For example, if the choice was to distribute the table across three tablespaces - tablespaceA, tablespaceB, and tablespac eC - use the following clause in the table definition.

INTERVAL(NUMTOYMINTERVAL(1, 'MONTH'))

STORE IN (tablespaceA, tablespaceB, tablespaceC)

Restrictions on Interval Partitioning

There are a few restrictions on interval partitioning that must be taken into consideration before deciding if it is appropriate for the business requirement:

Cannot be used for index organized tables
Must use only one partitioning key column and it must be a DATE or NUMBER
Cannot create domain indexes on interval partitioned tables

This feature should be used as an enhancement to range partitioning when uniform distribution of range intervals for new partitions is acceptable. If the requirement demands the use of uneven intervals when adding new partitions, then interval partitioning would not be the best solution.

Interval Partitioning Commands

There are a few new commands to manage interval partitioning. First, convert a range partitioned table to use interval partitioning by using alter table <table_name> set interval(expr).

Consider this range partitioned table:

create table pos_data_range (

start_date DATE,

store_id NUMBER,

inventory_id NUMBER(6),

qty_sold NUMBER(3)

)

PARTITION BY RANGE (start_date)

(

PARTITION pos_data_p0 VALUES LESS THAN (TO_DATE('1-7-2007', 'DD-MM-YYYY')),

PARTITION pos_data_p1 VALUES LESS THAN (TO_DATE('1-8-2007', 'DD-MM-YYYY'))

);

If a row with a date of August 15, 2015 is inserted into the table, it will cause an error.

SQL> insert into pos_data_range (start_date, store_id, inventory_id, qty_sold)

2 values ( '15-AUG-07', 1, 1, 1);

insert into pos_data_range (start_date, store_id, inventory_id, qty_sold)

ERROR at line 1:

ORA-14400: inserted partition key does not map to any partition

This range partitioned table can easily be converted to use interval partitioning by using the following command:

alter table pos_data_range set INTERVAL(NUMTOYMINTERVAL(1, 'MONTH'));

Interval partitioning is now enabled, and the row with 15-AUG-07 can be inserted without error since Oracle will automatically create the new partition. To convert the table back to only range partitioning, use the following command:

alter table pos_data_range set INTERVAL();

The table is converted back to a range partitioned table and the boundaries for the interval partitions are set to the boundaries for the range partitions.

Using the same syntax, the interval can also be changed for existing interval partitioned tables. If changing the original table to be partitioned every three months instead of monthly, use:

alter table pos_data set INTERVAL(NUMTOYMINTERVAL(3, 'MONTH'));

After inserting a row with the date of 15-NOV-07, a new partition is automatically generated with a high value of 01-DEC-07.

insert into

pos_data (start_date, store_id, inventory_id, qty_sold)

values

('15-NOV-07', 1, 1, 1);

SELECT

TABLE_NAME, PARTITION_NAME, PARTITION_POSITION, HIGH_VALUE

FROM

Remote DBA_TAB_PARTITIONS

WHERE

TABLE_NAME='POS_DATA'

ORDER BY

PARTITION_NAME;

PARTITION_NAME HIGH_VALUE

POS_DATA_P0 TO_DATE(' 2015-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

POS_DATA_P1 TO_DATE(' 2015-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

SYS_P81 TO_DATE(' 2015-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

SYS_P84 TO_DATE(' 2015-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')

The tablespace storage of the interval partitioned table can also be changed using a similar syntax. For example, when using a round robin tablespace assignment for the table between tablespace1 to tablespace3, issue the following command:

alter table pos_data set STORE IN(tablespace1, tablespace2, tablespace3);

Oracle interval partitioning offers a very useful extension to range partitioning. This greatly improves the manageability of range partitioned tables. In addition to providing system generated new partitions, Oracle has provided a new syntax to simplify the reference of specific partitions.

Realtime Example

CREATE TABLE EASYOWNER.EASYTABLE_PART(ADDRESSID NUMBER(38),

BANK_ID VARCHAR2(8 CHAR),

ISADDRESSVERIFIED VARCHAR2(1 CHAR),

NAME_ALT1 VARCHAR2(80 CHAR),

CORP_REP_ID NUMBER(38),

CITY VARCHAR2(200 CHAR),

START_DATE DATE,

END_DATE DATE,

RESIDENTIALSTATUS VARCHAR2(25 CHAR),

USERFIELD5 VARCHAR2(200 CHAR),

USERDATEFIELD1 DATE,

NAME VARCHAR2(100 CHAR),

SALUTATION_CODE VARCHAR2(5 CHAR),

PHONENO1 VARCHAR2(50 CHAR),

PHONENO1LOCALCODE VARCHAR2(20 CHAR),

CITY_CODE VARCHAR2(5 CHAR),

STATE_CODE VARCHAR2(5 CHAR),

COUNTRY_CODE VARCHAR2(5 CHAR),

CORE_CUST_ID VARCHAR2(9 CHAR),

NONCUSTOMERID NUMBER(38),

IS_ADDRESS_PROOF_RCVD VARCHAR2(1 CHAR),

SWIFT_NAME VARCHAR2(35 CHAR),

TMDATE DATE DEFAULT sysdate,

BUSINESS_DATE DATE,

CREATED_DATE DATE,

LST_UPD_JOB_ID NUMBER(19))

NOCOMPRESS

TABLESPACE EASYOWNER_DATA

RESULT_CACHE (MODE DEFAULT)

PCTUSED 0

PCTFREE 10

INITRANS 1

MAXTRANS 255

STORAGE (

INITIAL 64K

NEXT 1M

MAXSIZE UNLIMITED

MINEXTENTS 1

MAXEXTENTS UNLIMITED

PCTINCREASE 0

BUFFER_POOL DEFAULT

FLASH_CACHE DEFAULT

CELL_FLASH_CACHE DEFAULT

)

PARTITION BY RANGE (BUSINESS_DATE)

INTERVAL( NUMTODSINTERVAL(1,'DAY'))

(

PARTITION part1 VALUES LESS THAN (TO_DATE(' 2022-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))

LOGGING

NOCOMPRESS

TABLESPACE EASYOWNER_DATA

PCTFREE 10

INITRANS 1

MAXTRANS 255

STORAGE (

MAXSIZE UNLIMITED

BUFFER_POOL DEFAULT

FLASH_CACHE DEFAULT

CELL_FLASH_CACHE DEFAULT

)

);

select max(partition_position) from dba_tab_partitions where table_owner='EASYOWNER' and table_name='EASYTABLE_PART';

select partition_name from dba_tab_partitions where table_owner='EASYOWNER' and table_name='EASYTABLE_PART;

SELECT

TABLE_NAME,

PARTITION_NAME,

PARTITION_POSITION,

HIGH_VALUE

FROM

DBA_TAB_PARTITIONS

WHERE

TABLE_NAME='STG_ADDRESS_PART'

ORDER BY

PARTITION_NAME;

Range Interval -Hash composite Partition with Real-Time Example

Creating a composite interval-hash partitioned table

CREATE TABLE sales_interval_hash

( prod_id NUMBER(6)

, cust_id NUMBER

, time_id DATE

, channel_id CHAR(1)

, promo_id NUMBER(6)

, quantity_sold NUMBER(3)

, amount_sold NUMBER(10,2)

)

PARTITION BY RANGE (time_id) INTERVAL (NUMTOYMINTERVAL(1,'MONTH'))

SUBPARTITION BY HASH (cust_id) SUBPARTITIONS 4

(PARTITION before_2016 VALUES LESS THAN (TO_DATE('01-JAN-2016','dd-MON-yyyy'))

)

SELECT SUBSTR(TABLE_NAME,1,32), SUBSTR(PARTITION_NAME,1,32), SUBSTR(SUBPARTITION_NAME,1,32)

FROM USER_TAB_SUBPARTITIONS WHERE TABLE_NAME ='SALES_INTERVAL_HASH'

2) CREATE TABLE "testuser"."TEST_TABLE_BKP_PART" ("TEST_SRL_NUM" VARCHAR2(12 CHAR),

"B2K_ID" VARCHAR2(12 CHAR),

"B2K_TYPE" VARCHAR2(5 CHAR),

"SOL_ID" VARCHAR2(8 CHAR),

"TEST_DATE" DATE,

"TEST_AMT" NUMBER(20,4),

"SYS_MAN_FLG" CHAR(1),

"LAST_TESTSMITTED_BY" VARCHAR2(15 CHAR)

)

TABLESPACE TEST_TBLSPC

PARTITION BY RANGE (TEST_DATE) INTERVAL(NUMTOYMINTERVAL(1,'MONTH'))

SUBPARTITION BY HASH ("TEST_SRL_NUM") SUBPARTITIONS 128 STORE IN (TEST_TBLSPC)

(

PARTITION part1 VALUES LESS THAN (TO_DATE(' 2021-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')) TABLESPACE TEST_TBLSPC,

PARTITION part2 VALUES LESS THAN (TO_DATE(' 2021-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part3 VALUES LESS THAN (TO_DATE(' 2022-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part4 VALUES LESS THAN (TO_DATE(' 2022-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part5 VALUES LESS THAN (TO_DATE(' 2022-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part6 VALUES LESS THAN (TO_DATE(' 2022-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part7 VALUES LESS THAN (TO_DATE(' 2022-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part8 VALUES LESS THAN (TO_DATE(' 2022-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part9 VALUES LESS THAN (TO_DATE(' 2022-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part10 VALUES LESS THAN (TO_DATE(' 2022-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part11 VALUES LESS THAN (TO_DATE(' 2022-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part12 VALUES LESS THAN (TO_DATE(' 2022-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part13 VALUES LESS THAN (TO_DATE(' 2022-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part14 VALUES LESS THAN (TO_DATE(' 2022-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part15 VALUES LESS THAN (TO_DATE(' 2023-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part16 VALUES LESS THAN (TO_DATE(' 2023-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part17 VALUES LESS THAN (TO_DATE(' 2023-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part18 VALUES LESS THAN (TO_DATE(' 2023-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part19 VALUES LESS THAN (TO_DATE(' 2023-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part20 VALUES LESS THAN (TO_DATE(' 2023-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part21 VALUES LESS THAN (TO_DATE(' 2023-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part22 VALUES LESS THAN (TO_DATE(' 2023-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part23 VALUES LESS THAN (TO_DATE(' 2023-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part24 VALUES LESS THAN (TO_DATE(' 2023-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN'))TABLESPACE TEST_TBLSPC,

PARTITION part25 VALUES LESS THAN (TO_DATE(' 2023-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')) TABLESPACE TEST_TBLSPC

)

NOCACHE

NOPARALLEL

MONITORING

ENABLE ROW MOVEMENT;

select partition_name,partition_position,high_value,interval,TABLESPACE_NAME from dba_tab_partitions where TABLE_NAME='TEST_TABLE_BKP_PART';

set pages 9999

col SUBSTR(TABLE_NAME,1,32) for a30

col SUBSTR(PARTITION_NAME,1,32) for a30

col SUBSTR(SUBPARTITION_NAME,1,32) for a30

SELECT SUBSTR(TABLE_NAME,1,32), SUBSTR(PARTITION_NAME,1,32), SUBSTR(SUBPARTITION_NAME,1,32),TABLESPACE_NAME FROM DBA_TAB_SUBPARTITIONS WHERE TABLE_NAME ='TEST_TABLE_BKP_PART';

SQL> select partition_name,partition_position,high_value,interval,TABLESPACE_NAME from dba_tab_partitions where TABLE_NAME='TEST_TABLE_BKP_PART';

PARTITION_NAME PARTITION_POSITION HIGH_VALUE INT TABLESPACE_NAME

-------------------------------------------------- ------------------ -------------------------------------------------------------------------------- --- ------------------------------

PART1 1 TO_DATE(' 2021-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART2 2 TO_DATE(' 2021-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART3 3 TO_DATE(' 2022-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART4 4 TO_DATE(' 2022-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART5 5 TO_DATE(' 2022-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART6 6 TO_DATE(' 2022-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART7 7 TO_DATE(' 2022-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART8 8 TO_DATE(' 2022-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART9 9 TO_DATE(' 2022-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART10 10 TO_DATE(' 2022-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART11 11 TO_DATE(' 2022-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART12 12 TO_DATE(' 2022-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART13 13 TO_DATE(' 2022-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART14 14 TO_DATE(' 2022-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART15 15 TO_DATE(' 2023-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART16 16 TO_DATE(' 2023-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART17 17 TO_DATE(' 2023-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART18 18 TO_DATE(' 2023-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART19 19 TO_DATE(' 2023-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART20 20 TO_DATE(' 2023-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART21 21 TO_DATE(' 2023-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART22 22 TO_DATE(' 2023-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART23 23 TO_DATE(' 2023-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART24 24 TO_DATE(' 2023-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

PART25 25 TO_DATE(' 2023-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIA NO TEST_TBLSPC

25 rows selected.

SQL> set pages 9999

SELECT SUBSTR(TABLE_NAME,1,32), SUBSTR(PARTITION_NAME,1,32), SUBSTR(SUBPARTITION_NAME,1,32),TABLESPACE_NAME FROM DBA_TAB_SUBPARTITIONS WHERE TABLE_NAME ='TEST_TABLE_BKP_PART';SQL>

SUBSTR(TABLE_NAME,1,32) SUBSTR(PARTITION_NAME,1,32) SUBSTR(SUBPARTITION_NAME,1,32) TABLESPACE_NAME

------------------------------ ------------------------------ ---------------------------------------- ------------------------------

TEST_TABLE_BKP_PART PART1 SYS_SUBP81663 TEST_TBLSPC

TEST_TABLE_BKP_PART PART1 SYS_SUBP81664 TEST_TBLSPC

TEST_TABLE_BKP_PART PART1 SYS_SUBP81665 TEST_TBLSPC

TEST_TABLE_BKP_PART PART1 SYS_SUBP81666 TEST_TBLSPC

SQL>

SQL> create index testuser.MSG_pk_ind on testuser.TEST_TABLE_BKP_PART ( TEST_DATE ) tablespace TEST_TBLSPC local;

Index created.

select * from TEST_TABLE_BKP_PART partition (part1);

Table Purging Activity

02:50:26 SQL> select host_name from from v$instance;

HOST_NAME

----------------------------------------------------------------

TEST_HOST

02:50:48 SQL> select name from v$database;

NAME

---------

EASY_DB

02:51:12 SQL> select segment_name,sum(bytes)/1024/1024/1024 from dba_segments where segment_name='EASY_TABLE' group by segment_name;

SEGMENT_NA SUM(BYTES)/1024/1024/1024

---------- -------------------------

EASY_TABLE 70.7070313

02:51:24 SQL> col PARTITION_NAME for a30

select PARTITION_NAME,PARTITION_POSITION,HIGH_VALUE from dba_tab_partitions where TABLE_NAME='EASY_TABLE';

02:51:40 SQL>

PARTITION_NAME PARTITION_POSITION HIGH_VALUE

------------------------------ ------------------ --------------------------------------------------------------------------------

P1 1 20200501

SYS_P10146 2 20211301

SYS_P10786 3 20220201

SYS_P11406 4 20220301

SYS_P11966 5 20220401

SYS_P12586 6 20220501

SYS_P13186 7 20220601

SYS_P13806 8 20220701

SYS_P14391 9 20220801

SYS_P15011 10 20220901

SYS_P15631 11 20221001

PARTITION_NAME PARTITION_POSITION HIGH_VALUE

------------------------------ ------------------ --------------------------------------------------------------------------------

SYS_P16231 12 20221101

SYS_P16836 13 20221201

SYS_P17436 14 20221301

14 rows selected.

02:51:40 SQL> select index_name,status,degree from dba_indexes where table_name='EASY_TABLE';

INDEX_NAME STATUS DEGREE

-------------------------------------------------------------------------------------------------------------------------------- -------- ----------------------------------------

EASY_TABLE_NDX2 VALID 1

INDX_EASY_TABLE4 VALID 1

IND_TRAN_UDATE_TIME VALID 1

IK_EASY_TABLE_ORGDEV VALID 1

EASY_TABLE_NDX VALID 1

NDX_EASY_TABLE3 VALID 1

6 rows selected.

02:51:58 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P10146;

Table altered.

02:59:17 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P10786;

Table altered.

02:59:29 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P11406;

Table altered.

02:59:41 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P11966;

Table altered.

02:59:51 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P12586;

Table altered.

03:00:02 SQL> alter table OWNER.EASY_TABLE drop partition SYS_P13186;

Table altered.

03:00:12 SQL> col PARTITION_NAME for a30

select PARTITION_NAME,PARTITION_POSITION,HIGH_VALUE from dba_tab_partitions where TABLE_NAME='EASY_TABLE';

03:00:29 SQL>

PARTITION_NAME PARTITION_POSITION HIGH_VALUE

------------------------------ ------------------ --------------------------------------------------------------------------------

P1 1 20200501

SYS_P13806 2 20220701

SYS_P14391 3 20220801

SYS_P15011 4 20220901

SYS_P15631 5 20221001

SYS_P16231 6 20221101

SYS_P16836 7 20221201

SYS_P17436 8 20221301

8 rows selected.

03:00:29 SQL> select index_name,status,degree from dba_indexes where table_name='EASY_TABLE';

INDEX_NAME STATUS DEGREE

-------------------------------------------------------------------------------------------------------------------------------- -------- ----------------------------------------

EASY_TABLE_NDX2 UNUSABLE 1

INDX_EASY_TABLE4 UNUSABLE 1

IND_TRAN_UDATE_TIME UNUSABLE 1

IK_EASY_TABLE_ORGDEV UNUSABLE 1

EASY_TABLE_NDX UNUSABLE 1

NDX_EASY_TABLE3 UNUSABLE 1

6 rows selected.

03:00:44 SQL> alter index OWNER.EASY_TABLE_NDX rebuild parallel 12;

Index altered.

03:02:17 SQL> 03:02:17 SQL> alter index OWNER.NDX_EASY_TABLE3 rebuild parallel 12;

Index altered.

03:03:57 SQL> 03:03:57 SQL>

03:04:32 SQL> alter index OWNER.IK_EASY_TABLE_ORGDEV rebuild parallel 12;

Index altered.

03:06:03 SQL> 03:06:03 SQL> alter index OWNER.EASY_TABLE_NDX2 rebuild parallel 12;

Index altered.

03:07:32 SQL> 03:07:32 SQL>

03:07:53 SQL> alter index OWNER.INDX_EASY_TABLE4 rebuild parallel 12;

Index altered.

03:09:12 SQL> 03:09:12 SQL>

03:09:21 SQL> alter index OWNER.IND_TRAN_UDATE_TIME rebuild parallel 12;

Index altered.

03:10:44 SQL> 03:10:44 SQL>

03:10:48 SQL> select index_name,status,degree from dba_indexes where table_name='EASY_TABLE';

INDEX_NAME STATUS DEGREE

-------------------------------------------------------------------------------------------------------------------------------- -------- ----------------------------------------

EASY_TABLE_NDX2 VALID 12

INDX_EASY_TABLE4 VALID 12

IND_TRAN_UDATE_TIME VALID 12

IK_EASY_TABLE_ORGDEV VALID 12

EASY_TABLE_NDX VALID 12

NDX_EASY_TABLE3 VALID 12

6 rows selected.

03:10:58 SQL> alter index OWNER.EASY_TABLE_NDX noparallel;

Index altered.

03:11:10 SQL> alter index OWNER.NDX_EASY_TABLE3 noparallel;

Index altered.

03:11:19 SQL> alter index OWNER.IK_EASY_TABLE_ORGDEV noparallel;

Index altered.

03:11:27 SQL> alter index OWNER.EASY_TABLE_NDX2 noparallel;

Index altered.

03:11:35 SQL> alter index OWNER.INDX_EASY_TABLE4 noparallel;

Index altered.

03:11:44 SQL> alter index OWNER.IND_TRAN_UDATE_TIME noparallel;

03:11:54 SQL> alter index OWNER.IND_TRAN_UDATE_TIME noparallel;

Index altered.

03:12:10 SQL> select index_name,status,degree from dba_indexes where table_name='EASY_TABLE';

INDEX_NAME STATUS DEGREE

-------------------------------------------------------------------------------------------------------------------------------- -------- ----------------------------------------

EASY_TABLE_NDX2 VALID 1

INDX_EASY_TABLE4 VALID 1

IND_TRAN_UDATE_TIME VALID 1

IK_EASY_TABLE_ORGDEV VALID 1

EASY_TABLE_NDX VALID 1

NDX_EASY_TABLE3 VALID 1

6 rows selected.

03:12:24 SQL> set lines 300 pages 1000

col owner for a30

col object_type for a30

select owner ,object_name object_type ,status from dba_objects where object_name='EASY_TABLE';

03:12:40 SQL> 03:12:40 SQL> 03:12:40 SQL>

OWNER OBJECT_TYPE STATUS

------------------------------ ------------------------------ -------

OWNER EASY_TABLE VALID

BZ1125 EASY_TABLE VALID

10 rows selected.

03:12:40 SQL>

======================

alter table sales move partition sales_2009 compress;

alter table sales move partition sales_2009 tablespace crappy_old_disk;

alter tablespace crappy_old_disk read only;

alter index sales_IX partition sales_ix_2009 unusable;

From 12c onward

alter table sales modify partition sales_2012 indexing off;

Exchange partition

---------------

alter table sales exchange partition sales_2013 with table New_table;

EasyReliableDBA

Monday 14 November 2022

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