Concepts of partition

Hello

Juice I wanted to clarify some doubts about Partitions.

1. can a partition and a subpartition be on the same column?

2. when we create a table with the partition, the partitioned data are stored in different data files? I have a P1 and P2 scores. P1 and P2 will be on different data files?

3. If above is true, we can create a partitioned table in a database that contains a single data file?


Thank you
AB

>
Juice I wanted to clarify some doubts about Partitions.

1. can a partition and a subpartition be on the same column?
>
Of course - don't know why you want to, but you can. This table is partitioned on CREATED_DATE and then sous-partitionnee hash on the same column.

drop table emp_part

CREATE TABLE emp_part (empno number(4), ename varchar2(10),
 deptno number(2), created_date DATE default sysdate)
  partition by range (created_date)
     SUBPARTITION BY HASH(created_date) subpartitions 4
( partition p1 values less than (to_date('04-01-2013', 'mm-dd-yyyy')),
 partition p2 values less than (to_date('05-01-2013', 'mm-dd-yyyy')),
 partition p3 values less than (to_date('06-01-2013', 'mm-dd-yyyy')),
 partition p4 values less than (to_date('07-01-2013', 'mm-dd-yyyy')));

INSERT INTO EMP_PART VALUES (1, 'EMP1', 1, SYSDATE - 90);

INSERT INTO EMP_PART VALUES (1, 'EMP1', 1, SYSDATE - 60);

INSERT INTO EMP_PART VALUES (1, 'EMP1', 1, SYSDATE - 30);

INSERT INTO EMP_PART VALUES (1, 'EMP1', 1, SYSDATE);

Data in a table, partition or the subpartition is stored in a segment of a tablespace
>
2. when we create a table with the partition, the partitioned data are stored in different data files? I have a P1 and P2 scores. P1 and P2 will be on different data files?
>
By default the data will be stored in a segment of the user's default tablespace.
>
3. If above is true, we can create a partitioned table in a database that contains a single data file?
>
Yes - but you should NOT use the system tablespace so all DB should have a tablespace and datafile (or several data files) for users.

Tags: Database

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    |   0 | SELECT STATEMENT |          |     1.    48.     1 (100) | 00:00:01 |

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    |*  8 |       INDEX RANGE SCAN | B_TBL_PK |     1.       |     1 (0) | 00:00:01 |

    |*  9 |     FILTER |          |       |       |            |          |

    |  10.      TABLE ACCESS BY INDEX ROWID | C_TBL |     1.    48.     1 (0) | 00:00:01 |

    | * 11 |       INDEX RANGE SCAN | C_TBL_PK |     1.       |     1 (0) | 00:00:01 |

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

    5 - access ("COL1" = 'aaa' AND "COL2"<>

    6 - filter (NULL IS NOT NULL)

    8 - access ("COL1" = 'aaa' AND "COL2"<>

    9 - filter (NULL IS NOT NULL)

    11 - access ("COL1" = 'aaa' AND "COL2"<>

    The most important part is (once again) the section predicate containing filter NULL IS NOT NULL predicates that should always evaluate to false. So I would say: works as advertised (once upon a time...)

    Concerning

    Martin

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