COLLECT
Syntax
Purpose
COLLECT
is an aggregate function that takes as its argument a column of any type and creates a nested table of the input type out of the rows selected. To get accurate results from this function you must use it within a CAST
function.
If column
is itself a collection, then the output of COLLECT
is a nested table of collections. If column
is of a user-defined type, then column
must have a MAP
or ORDER
method defined on it in order for you to use the optional DISTINCT
, UNIQUE
, and ORDER
BY
clauses.
See Also:
-
Appendix C in Oracle Database Globalization Support Guide for the collation determination rules, which define the collation
COLLECT
uses to compare character values for theDISTINCT
andORDER
BY
clauses
Examples
The following example creates a nested table from the varray column of phone numbers in the sample table oe.customers
. The nested table includes only the phone numbers of customers with an income level of L
: 300,000
and
above
.
CREATE TYPE phone_book_t AS TABLE OF phone_list_typ; / SELECT CAST(COLLECT(phone_numbers) AS phone_book_t) "Income Level L Phone Book" FROM customers WHERE income_level = 'L: 300,000 and above'; Income Level L Phone Book -------------------------------------------------------------------------------- PHONE_BOOK_T(PHONE_LIST_TYP('+1 414 123 4307'), PHONE_LIST_TYP('+1 608 123 4344' ), PHONE_LIST_TYP('+1 814 123 4696'), PHONE_LIST_TYP('+1 215 123 4721'), PHONE_L IST_TYP('+1 814 123 4755'), PHONE_LIST_TYP('+91 11 012 4817', '+91 11 083 4817') , PHONE_LIST_TYP('+91 172 012 4837'), PHONE_LIST_TYP('+41 31 012 3569', '+41 31 083 3569'))
The following example creates a nested table from the column of warehouse names in the sample table oe
.warehouses
. It uses ORDER
BY
to order the warehouse names.
CREATE TYPE warehouse_name_t AS TABLE OF VARCHAR2(35); / SELECT CAST(COLLECT(warehouse_name ORDER BY warehouse_name) AS warehouse_name_t) "Warehouses" FROM warehouses; Warehouses -------------------------------------------------------------------------------- WAREHOUSE_NAME_TYP('Beijing', 'Bombay', 'Mexico City', 'New Jersey', 'San Franci sco', 'Seattle, Washington', 'Southlake, Texas', 'Sydney', 'Toronto')