PL/SQL User's Guide and Reference Release 2 (9.2) Part Number A96624-01 |
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PL/SQL Language Elements, 8 of 52
A collection is an ordered group of elements, all of the same type (for example, the grades for a class of students). Each element has a unique subscript that determines its position in the collection. PL/SQL offers three kinds of collections: associative arrays, nested tables, and varrays (short for variable-size arrays). Nested tables extend the functionality of associative arrays (formerly called "PL/SQL tables" or "index-by tables").
Collections work like the arrays found in most third-generation programming languages. Collections can have only one dimension. Most collections are indexed by integers, although associative arrays can also be indexed by strings. To model multi-dimensional arrays, you can declare collections whose items are other collections.
Nested tables and varrays can store instances of an object type and, conversely, can be attributes of an object type. Also, collections can be passed as parameters. So, you can use them to move columns of data into and out of database tables or between client-side applications and stored subprograms.
For more information, see "Defining Collection Types".
This is any PL/SQL datatype except BINARY_INTEGER
, BOOLEAN
, LONG
, LONG
RAW
, NATURAL
, NATURALN
, PLS_INTEGER
, POSITIVE
, POSITIVEN
, REF
CURSOR
, SIGNTYPE
, or STRING
. Also, with varrays, element_type
cannot be BLOB
, CLOB
, or an object type with BLOB
or CLOB
attributes.
This optional clause lets you define associative arrays, where you specify the subscript values to use rather than the system defining them in sequence.
type_name
can be BINARY_INTEGER
, PLS_INTEGER
, or a string type such as VARCHAR2
.
This is a positive integer literal that specifies the maximum size of a varray, which is the maximum number of elements the varray can contain.
This identifies a user-defined collection type that was defined using the datatype specifier TABLE
or VARRAY
.
Nested tables extend the functionality of index-by tables, so they differ in several ways. See "Choosing Between Nested Tables and Associative Arrays".
Every element reference includes the collection name and one or more subscripts enclosed in parentheses; the subscripts determine which element is processed. Except for associative arrays, which can have negative subscripts, collection subscripts have a fixed lower bound of 1. Subscripts for multilevel collections are evaluated in any order; if a subscript includes an expression that modifies the value of a different subscript, the result is undefined.
You can define all three collection types in the declarative part of any PL/SQL block, subprogram, or package. But, only nested table and varray types can be CREATE
d and stored in an Oracle database.
Associative arrays and nested tables can be sparse (have non-consecutive subscripts), but varrays are always dense (have consecutive subscripts). Unlike nested tables, varrays retain their ordering and subscripts when stored in the database.
Initially, associative arrays are sparse. That enables you, for example, to store reference data in a temporary variable using a primary key (account numbers or employee numbers for example) as the index.
Collections follow the usual scoping and instantiation rules. In a package, collections are instantiated when you first reference the package and cease to exist when you end the database session. In a block or subprogram, local collections are instantiated when you enter the block or subprogram and cease to exist when you exit.
Until you initialize it, a nested table or varray is atomically null (that is, the collection itself is null, not its elements). To initialize a nested table or varray, you use a constructor, which is a system-defined function with the same name as the collection type. This function "constructs" a collection from the elements passed to it.
Because nested tables and varrays can be atomically null, they can be tested for nullity. However, they cannot be compared for equality or inequality. This restriction also applies to implicit comparisons. For example, collections cannot appear in a DISTINCT
, GROUP
BY
, or ORDER
BY
list.
Collections can store instances of an object type and, conversely, can be attributes of an object type. Also, collections can be passed as parameters. So, you can use them to move columns of data into and out of database tables or between client-side applications and stored subprograms.
When calling a function that returns a collection, you use the following syntax to reference elements in the collection:
collection_name(parameter_list)(subscript)
With the Oracle Call Interface (OCI) or the Oracle Precompilers, you can bind host arrays to index-by tables declared as the formal parameters of a subprogram. That lets you pass host arrays to stored functions and procedures.
To specify the element type of a collection, you can use %TYPE
or %ROWTYPE
, as the following example shows:
DECLARE TYPE JobList IS VARRAY(10) OF emp.job%TYPE; -- based on column CURSOR c1 IS SELECT * FROM dept; TYPE DeptFile IS TABLE OF c1%ROWTYPE; -- based on cursor TYPE EmpFile IS VARRAY(150) OF emp%ROWTYPE; -- based on database table
In the next example, you use a RECORD
type to specify the element type:
DECLARE TYPE Entry IS RECORD ( term VARCHAR2(20), meaning VARCHAR2(200)); TYPE Glossary IS VARRAY(250) OF Entry;
In the example below, you declare an index-by table of records. Each element of the table stores a row from the emp
database table.
DECLARE TYPE EmpTabTyp IS TABLE OF emp%ROWTYPE INDEX BY BINARY_INTEGER; emp_tab EmpTabTyp; BEGIN /* Retrieve employee record. */ SELECT * INTO emp_tab(7468) FROM emp WHERE empno = 7468;
When defining a VARRAY
type, you must specify its maximum size. In the following example, you define a type that stores up to 366 dates:
DECLARE TYPE Calendar IS VARRAY(366) OF DATE;
Once you define a collection type, you can declare collections of that type, as the following SQL*Plus script shows:
CREATE TYPE Project AS OBJECT( project_no NUMBER(2), title VARCHAR2(35), cost NUMBER(7,2)) / CREATE TYPE ProjectList AS VARRAY(50) OF Project -- VARRAY type / CREATE TABLE department ( idnum NUMBER(2), name VARCHAR2(15), budget NUMBER(11,2), projects ProjectList) -- declare varray /
The identifier projects
represents an entire varray. Each element of projects
will store a Project
object.
In the following example, you declare a nested table as the formal parameter of a packaged procedure:
CREATE PACKAGE personnel AS TYPE Staff IS TABLE OF Employee; ... PROCEDURE award_bonuses (members IN Staff);
You can specify a collection type in the RETURN
clause of a function spec, as the following example shows:
DECLARE TYPE SalesForce IS VARRAY(20) OF Salesperson; FUNCTION top_performers (n INTEGER) RETURN SalesForce IS ...
In the following example, you update the list of projects assigned to the Security Department:
DECLARE new_projects ProjectList := ProjectList(Project(1, 'Issue New Employee Badges', 13500), Project(2, 'Inspect Emergency Exits', 1900), Project(3, 'Upgrade Alarm System', 3350), Project(4, 'Analyze Local Crime Stats', 825)); BEGIN UPDATE department SET projects = new_projects WHERE name = 'Security';
In the next example, you retrieve all the projects for the Accounting Department into a local varray:
DECLARE my_projects ProjectList; BEGIN SELECT projects INTO my_projects FROM department WHERE name = 'Accounting';
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