Partitioning of existing tables.. based on date

Hello Friends,
I have some tables where their is a column called x_as_of_dt COLUMN with DATE as the datatype.
All the tables have already got data populated.
Now I want to partition the tables based on column x_as_of_dt by YYYYMM
How to approach this scenario..
Appreciate your help
thanks/kumar

Hello Justin,
I found that all the tables have indexes and check constraint only ( no primary and foreign key constraints ) for the tables that need to be partitioned .
The actual table structure is like this.. ( Am using toad and this is the script from toad )
CREATE TABLE X_FA_X_HOUSEHOLD
FINANCIAL_ADVISOR_RK NUMBER(10) NOT NULL,
HOUSEHOLD_RK NUMBER(10) NOT NULL,
X_AS_OF_DATE DATE NOT NULL,
FINANCIAL_ADVISOR_ID VARCHAR2(6 BYTE),
HOUSEHOLD_ID NUMBER(10),
X_BRANCH_ID VARCHAR2(3 BYTE),
X_FA_HHD_PCT_SPLIT NUMBER(7,4) NOT NULL,
X_RANK_NUM NUMBER(3),
PROCESSED_DTTM DATE
TABLESPACE KAW_DATA
PCTUSED 0
PCTFREE 10
INITRANS 1
MAXTRANS 255
STORAGE (
INITIAL 64K
MINEXTENTS 1
MAXEXTENTS 2147483645
PCTINCREASE 0
BUFFER_POOL DEFAULT
LOGGING
NOCOMPRESS
NOCACHE
NOPARALLEL
MONITORING;
CREATE UNIQUE INDEX XPKX_FINANCIAL_ADVISOR_X_HOUSE ON X_FA_X_HOUSEHOLD
(FINANCIAL_ADVISOR_RK, HOUSEHOLD_RK, X_AS_OF_DATE)
LOGGING
TABLESPACE KAW_IDX
PCTFREE 10
INITRANS 2
MAXTRANS 255
STORAGE (
INITIAL 64K
MINEXTENTS 1
MAXEXTENTS 2147483645
PCTINCREASE 0
BUFFER_POOL DEFAULT
NOPARALLEL;
GRANT SELECT ON X_FA_X_HOUSEHOLD TO KAW_READ_ROLE;
REQUIREMENT: - I got to implement the partion on this table for the column - X_AS_OF_DATE
STEP 1 - CREATE A PARTITIONed table
CREATE TABLE PARTITION_X_FA_X_HOUSEHOLD
FINANCIAL_ADVISOR_RK NUMBER(10) NOT NULL,
HOUSEHOLD_RK NUMBER(10) NOT NULL,
X_AS_OF_DATE DATE NOT NULL,
FINANCIAL_ADVISOR_ID VARCHAR2(6 BYTE),
HOUSEHOLD_ID NUMBER(10),
X_BRANCH_ID VARCHAR2(3 BYTE),
X_FA_HHD_PCT_SPLIT NUMBER(7,4) NOT NULL,
X_RANK_NUM NUMBER(3),
PROCESSED_DTTM DATE
PARTITION BY RANGE (X_AS_OF_DATE)(
PARTITION P200712 VALUES LESS THAN (TO_DATE(' 2008-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200801 VALUES LESS THAN (TO_DATE(' 2008-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200802 VALUES LESS THAN (TO_DATE(' 2008-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200803 VALUES LESS THAN (TO_DATE(' 2008-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200804 VALUES LESS THAN (TO_DATE(' 2008-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200805 VALUES LESS THAN (TO_DATE(' 2008-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200806 VALUES LESS THAN (TO_DATE(' 2008-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200807 VALUES LESS THAN (TO_DATE(' 2008-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200808 VALUES LESS THAN (TO_DATE(' 2008-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200809 VALUES LESS THAN (TO_DATE(' 2008-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200810 VALUES LESS THAN (TO_DATE(' 2008-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200811 VALUES LESS THAN (TO_DATE(' 2008-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200812 VALUES LESS THAN (TO_DATE(' 2009-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200901 VALUES LESS THAN (TO_DATE(' 2009-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200902 VALUES LESS THAN (TO_DATE(' 2009-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200903 VALUES LESS THAN (TO_DATE(' 2009-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200904 VALUES LESS THAN (TO_DATE(' 2009-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200905 VALUES LESS THAN (TO_DATE(' 2009-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200906 VALUES LESS THAN (TO_DATE(' 2009-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200907 VALUES LESS THAN (TO_DATE(' 2009-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200908 VALUES LESS THAN (TO_DATE(' 2009-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200909 VALUES LESS THAN (TO_DATE(' 2009-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200910 VALUES LESS THAN (TO_DATE(' 2009-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200911 VALUES LESS THAN (TO_DATE(' 2009-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P200912 VALUES LESS THAN (TO_DATE(' 2010-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201001 VALUES LESS THAN (TO_DATE(' 2010-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201002 VALUES LESS THAN (TO_DATE(' 2010-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201003 VALUES LESS THAN (TO_DATE(' 2010-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201004 VALUES LESS THAN (TO_DATE(' 2010-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201005 VALUES LESS THAN (TO_DATE(' 2010-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201006 VALUES LESS THAN (TO_DATE(' 2010-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201007 VALUES LESS THAN (TO_DATE(' 2010-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201008 VALUES LESS THAN (TO_DATE(' 2010-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201009 VALUES LESS THAN (TO_DATE(' 2010-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201010 VALUES LESS THAN (TO_DATE(' 2010-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201011 VALUES LESS THAN (TO_DATE(' 2010-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201012 VALUES LESS THAN (TO_DATE(' 2011-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201101 VALUES LESS THAN (TO_DATE(' 2011-02-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201102 VALUES LESS THAN (TO_DATE(' 2011-03-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201103 VALUES LESS THAN (TO_DATE(' 2011-04-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201104 VALUES LESS THAN (TO_DATE(' 2011-05-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201105 VALUES LESS THAN (TO_DATE(' 2011-06-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201106 VALUES LESS THAN (TO_DATE(' 2011-07-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201107 VALUES LESS THAN (TO_DATE(' 2011-08-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201108 VALUES LESS THAN (TO_DATE(' 2011-09-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201109 VALUES LESS THAN (TO_DATE(' 2011-10-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201110 VALUES LESS THAN (TO_DATE(' 2011-11-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201111 VALUES LESS THAN (TO_DATE(' 2011-12-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION P201112 VALUES LESS THAN (TO_DATE(' 2012-01-01 00:00:00', 'SYYYY-MM-DD HH24:MI:SS', 'NLS_CALENDAR=GREGORIAN')),
PARTITION PMAX VALUES LESS THAN (MAXVALUE) )
STEP 2 - Loading the data ---------
loading of data is as follows..
INSERT INTO PARTITION_X_FA_X_HOUSEHOLD
(FINANCIAL_ADVISOR_RK,
HOUSEHOLD_RK,
X_AS_OF_DATE,
FINANCIAL_ADVISOR_ID,
HOUSEHOLD_ID,
X_BRANCH_ID,
X_FA_HHD_PCT_SPLIT,
X_RANK_NUM,
PROCESSED_DTTM
) SELECT FINANCIAL_ADVISOR_RK,
HOUSEHOLD_RK,
X_AS_OF_DATE,
FINANCIAL_ADVISOR_ID,
HOUSEHOLD_ID,
X_BRANCH_ID,
X_FA_HHD_PCT_SPLIT,
X_RANK_NUM,
PROCESSED_DTTM
FROM X_FA_X_HOUSEHOLD
Step 3: - Creating indexes
CREATE UNIQUE INDEX XPKX_FINANCIAL_ADVISOR_X_HOUSE ON PARTITION_X_FA_X_HOUSEHOLD
(FINANCIAL_ADVISOR_RK, HOUSEHOLD_RK, X_AS_OF_DATE)
Step 4: - Droping the actual table
DROP TABLE X_FA_X_HOUSEHOLD
Step 5: Renaming the partitioned table to old tablemame
ALTER TABLE PARTITION_X_FA_X_HOUSEHOLD RENAME TO X_FA_X_HOUSEHOLD
Does the above steps are correct - pls confirm.
thanks/kumar

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27-FEB-11
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2011
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29-MAY-11
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28-AUG-11
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SY.

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i am getting data in internal table but
say i have twelve records now i want to sum it the both the columns into and use that sum final amount to display
let me know how to use sume in the intrranal tabl do i need to use control statement
how to use the sum for two columns and take into a serperate variable to display
regards
aRora

Table partitioning (intervel partitioning) on existing tables in oracle 11g

Hi i'm newbie to table partitioning. I'm using 11g. I have table of size 32 gb (which has 22 million records) and i want to apply interval partition on that table. I created a empty table with a partition having columns same as source table and take dump of the source table and import into the new partition table. can you please suggest how to import table dump into new table? also is there any other better idea to do the same.

Hi,
imp user/password file=exp.dmp ignore=y
The ignore=y causes the import to skip the table creation and continues to load all rows.
On the other hand, you can insert data into the partitioned table with a subquery from the non-partitioned table such as follows;
insert into patitioned_table
select * from original_table;
Hope it helps,

Updating tables based on Dates

In my application I use some tables with a date field.
table: employee
period date (e.g. 01-01-2004, 01-02-204, 01-03-2004)
target money
result money
table: project
date date (e.g. 15-01-2004, 20-01-2004, 03-02-2004)
revenue money
If I book a new project the table employee should be updated with result = result + revenue. If there is a new project on 15-01-2004 the record in employee where period = 01-01-2004 should be updated.
Can someone help me with a sample code for this problem?

Assuming you have a block in the form call PROJ with fields DATE, REVENUE and EMP_NO. Also that a record exists for the employee and period date.
Create PRE-INSERT and PRE-UPDATE triggers on the block PROJ containing
begin
update employee
set result=result+:PROJ.REVENUE
where period_date=trunc(:PROJ.DATE,'Mon')
and emp_no=:PROJ.EMP_NO;
end

Partition an Existing Table with Data

We have a table that is approx. 23Gb with 90 million rows. We need to partition it. What is the fastest or most efficient way to accomplish this? Oracle 10.2.0.4.

user1175547 wrote:
We have a table that is approx. 23Gb with 90 million rows. We need to partition it. What is the fastest or most efficient way to accomplish this? Oracle 10.2.0.4.you can use DBMS_REDEFINITION, also exchange partition is also a good solution :)
http://www.oracle-base.com/articles/misc/PartitioningAnExistingTableUsingExchangePartition.php

Partitioning of existing tables.. based on date

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