Scripts - Range & Exchange Partition

Scripts:

/* Partition Table - If it is already exists then Drop the table*/
DROP TABLE RANGE_PARTITION;

/* Create range partition per fiscal year */
CREATE TABLE RANGE_PARTITION
(ROW_WID NUMBER,
MONTH_WID DATE)
PARTITION BY RANGE(MONTH_WID)
(PARTITION P_2015 VALUES LESS THAN(TO_DATE('01-06-2016','DD-MM-YYYY')),
PARTITION P_2016 VALUES LESS THAN(TO_DATE('01-06-2017','DD-MM-YYYY')),
PARTITION P_2017 VALUES LESS THAN(TO_DATE('01-06-2018','DD-MM-YYYY')),
PARTITION P_2018 VALUES LESS THAN(TO_DATE('01-06-2019','DD-MM-YYYY')),
PARTITION P_2019 VALUES LESS THAN(TO_DATE('01-06-2020','DD-MM-YYYY')),
PARTITION P_2020 VALUES LESS THAN(TO_DATE('01-06-2021','DD-MM-YYYY')),
PARTITION P_MAX VALUES LESS THAN(maxvalue));

/* Inserting records for all the partitions */
INSERT INTO RANGE_PARTITION
SELECT LEVEL ROW_WID,
TO_DATE('31-05-2015','DD-MM-YYYY')+LEVEL MONTH_WID
FROM DUAL
CONNECT BY LEVEL < = TO_DATE('31-05-2020','DD-MM-YYYY')-TO_DATE('31-05-2015','DD-MM-YYYY');


/* Retrieving partitioning records for the fiscal year 2019 */
SELECT *
FROM RANGE_PARTITION PARTITION(P_2019);


/* Truncating the Partition*/
ALTER TABLE RANGE_PARTITION TRUNCATE PARTITION P_2019;

/* Retrieving partitioning records for the fiscal year 2019 */
SELECT *
FROM RANGE_PARTITION PARTITION(P_2019);

/* Dropping table*/
DROP TABLE PARTITION_EXCHANGE;

/* Create a new table which hold all the records related to partition 2019 fiscal year*/
CREATE TABLE PARTITION_EXCHANGE
AS
SELECT LEVEL ROW_WID,
TO_DATE('31-05-2019','DD-MM-YYYY')+LEVEL MONTH_WID
FROM DUAL
CONNECT BY LEVEL < = TO_DATE('31-05-2020','DD-MM-YYYY')-TO_DATE('31-05-2019','DD-MM-YYYY');

/* Cross Check -  all records are populated as per my partition */
SELECT MIN(MONTH_WID) , MAX(MONTH_WID) FROM PARTITION_EXCHANGE;

/* Exchange Partition with table*/
ALTER TABLE RANGE_PARTITION EXCHANGE PARTITION P_2019 WITH TABLE PARTITION_EXCHANGE;

/* After exchange partition */
SELECT * FROM PARTITION_EXCHANGE;

/* Retrieving partitioning records for the fiscal year 2019 */
SELECT *
FROM RANGE_PARTITION PARTITION(P_2019);

Example on Flatten Component - ODI 12c

To process input data with complex structure and produces the flattened representation of the same data using standard datatypes

Scenario:
Input Data:

Output Data:

Scripts:

CREATE OR REPLACE TYPE node AS TABLE OF VARCHAR2(30);
/
CREATE TABLE nested_table (id NUMBER, NodeName node)
       NESTED TABLE NodeName STORE AS NodeName_tab;
/
INSERT INTO nested_table VALUES (1, node('A'));
INSERT INTO nested_table VALUES (2, node('B', 'C'));
INSERT INTO nested_table VALUES (3, node('D', 'E', 'F'));
COMMIT;
/
SELECT * FROM nested_table;


ODI Steps:
-------------

1. Create Mapping
2. Drag and drop source data store (NESTED_TABLE) from source model.
3. Drag and drop flatten component from component palette into mapping editor
4. Drag and drop Target data store (CONVERTED_NESTED_TABLE) from target Model
5. Connect output connector of flatten component to input connector of Target data Store
6. Connect output connector of Source data store to input connector of flatten Component as mentioned below

7. Map ID column from source data store to Flatten component directly
8. Map Node Column as mentioned below

9. Select complex attribute type as mentioned below on flatten component

10. Execute it

Output: