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Oracle® Database SQL Language Reference
11g Release 2 (11.2)

Part Number E10592-02
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CUBE_TABLE

Syntax

Description of cube_table.gif follows
Description of the illustration cube_table.gif

Purpose

CUBE_TABLE extracts data from a cube or dimension and returns it in the two-dimensional format of a relational table, which can be used by SQL-based applications.

The function takes a single VARCHAR2 argument. The optional hierarchy clause enables you to specify a dimension hierarchy. A cube can have multiple hierarchy clauses, one for each dimension.

You can generate these different types of tables:

CUBE_TABLE is a table function and is always used in the context of a SELECT statement with this syntax:

SELECT ... FROM TABLE(CUBE_TABLE('arg'));

See Also:

Oracle OLAP User's Guide for information about dimensional objects and about the tables generated by CUBE_TABLE.

Examples

The following SELECT statement generates a dimension table of CHANNEL in the GLOBAL schema.

SELECT * FROM TABLE(CUBE_TABLE('global.channel'));
 
DIM_KEY  LEVEL_NAME      LONG_DESCRIP SHORT_DESCRI TOTAL_CHANNEL_ID CHANNEL_ID
-------- --------------- ------------ ------------ ---------------- ----------
1        TOTAL_CHANNEL   All Channels All Channels                1
2        CHANNEL         Direct Sales Direct Sales                1          2
3        CHANNEL         Catalog      Catalog                     1          3
4        CHANNEL         Internet     Internet                    1          4

The next statement generates a cube table of UNITS_CUBE. It restricts the table to the MARKET_ROLLUP and CALENDAR hierarchies.

SELECT * FROM TABLE(CUBE_TABLE(
   'global.units_cube HIERARCHY customer market_rollup HIERARCHY time calendar'));
 
     SALES      UNITS       COST TIME     CUSTOMER PRODUCT  CHANNEL
---------- ---------- ---------- -------- -------- -------- --------
 134109248     330425  124918967 2        7        1        1
32275009.5      77425   30255208 10       7        1        1
10768750.7      25780 10058324.5 36       7        1        1
 109261.64        278  101798.32 36       5        1        1
  22371.47         53   20887.54 36       36       1        1
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