Categories:

Semi-structured and structured data functions (Type Predicates)

IS_INTEGER

Returns TRUE if its VARIANT argument contains an integer value.

See also:

IS_<object_type> , IS_DECIMAL , IS_DOUBLE , IS_REAL

Syntax

IS_INTEGER( <variant_expr> )
Copy

Arguments

variant_expr

An expression that evaluates to a value of type VARIANT.

Returns

Returns a BOOLEAN value or NULL.

  • Returns TRUE if the VARIANT value contains an integer. Otherwise, returns FALSE.

  • If the input is NULL, returns NULL without reporting an error.

Examples

The following examples use the IS_INTEGER function.

Use the IS_INTEGER function in a WHERE clause

Create and fill the vartab table. The INSERT statement uses the PARSE_JSON function to insert VARIANT values in the v column of the table.

CREATE OR REPLACE TABLE vartab (n NUMBER(2), v VARIANT);

INSERT INTO vartab
  SELECT column1 AS n, PARSE_JSON(column2) AS v
    FROM VALUES (1, 'null'), 
                (2, null), 
                (3, 'true'),
                (4, '-17'), 
                (5, '123.12'), 
                (6, '1.912e2'),
                (7, '"Om ara pa ca na dhih"  '), 
                (8, '[-1, 12, 289, 2188, false,]'), 
                (9, '{ "x" : "abc", "y" : false, "z": 10} ') 
       AS vals;
Copy

Query the data. The query uses the TYPEOF function to show the data types of the values stored in the VARIANT column.

SELECT n, v, TYPEOF(v)
  FROM vartab
  ORDER BY n;
Copy
+---+------------------------+------------+
| N | V                      | TYPEOF(V)  |
|---+------------------------+------------|
| 1 | null                   | NULL_VALUE |
| 2 | NULL                   | NULL       |
| 3 | true                   | BOOLEAN    |
| 4 | -17                    | INTEGER    |
| 5 | 123.12                 | DECIMAL    |
| 6 | 1.912000000000000e+02  | DOUBLE     |
| 7 | "Om ara pa ca na dhih" | VARCHAR    |
| 8 | [                      | ARRAY      |
|   |   -1,                  |            |
|   |   12,                  |            |
|   |   289,                 |            |
|   |   2188,                |            |
|   |   false,               |            |
|   |   undefined            |            |
|   | ]                      |            |
| 9 | {                      | OBJECT     |
|   |   "x": "abc",          |            |
|   |   "y": false,          |            |
|   |   "z": 10              |            |
|   | }                      |            |
+---+------------------------+------------+

Show the integers in the data by using the IS_INTEGER function in a WHERE clause:

SELECT * FROM vartab WHERE IS_INTEGER(v);
Copy
+---+-----+
| N | V   |
|---+-----|
| 4 | -17 |
+---+-----+

Use the IS_INTEGER function in a SELECT list

Create and fill the multiple_types table. The INSERT statement uses the TO_VARIANT function to insert VARIANT values in the columns.

CREATE OR REPLACE TABLE multiple_types (
  array1 VARIANT,
  array2 VARIANT,
  boolean1 VARIANT,
  varchar1 VARIANT,
  varchar2 VARIANT,
  decimal1 VARIANT,
  double1 VARIANT,
  integer1 VARIANT,
  object1 VARIANT);

INSERT INTO multiple_types
    (array1, array2, boolean1, varchar1, varchar2,
     decimal1, double1, integer1, object1)
  SELECT
    TO_VARIANT(TO_ARRAY('Example')),
    TO_VARIANT(ARRAY_CONSTRUCT('Array-like', 'example')),
    TO_VARIANT(TRUE),
    TO_VARIANT('X'),
    TO_VARIANT('I am a real character'),
    TO_VARIANT(1.23::DECIMAL(6, 3)),
    TO_VARIANT(3.21::DOUBLE),
    TO_VARIANT(15),
    TO_VARIANT(TO_OBJECT(PARSE_JSON('{"Tree": "Pine"}')));
Copy

Query the data using the TYPEOF function to show the data types of the values stored in the VARIANT values.

SELECT TYPEOF(array1),
       TYPEOF(array2),
       TYPEOF(boolean1),
       TYPEOF(varchar1),
       TYPEOF(varchar2),
       TYPEOF(decimal1),
       TYPEOF(double1),
       TYPEOF(integer1),
       TYPEOF(object1)
  FROM multiple_types;
Copy
+----------------+----------------+------------------+------------------+------------------+------------------+-----------------+------------------+-----------------+
| TYPEOF(ARRAY1) | TYPEOF(ARRAY2) | TYPEOF(BOOLEAN1) | TYPEOF(VARCHAR1) | TYPEOF(VARCHAR2) | TYPEOF(DECIMAL1) | TYPEOF(DOUBLE1) | TYPEOF(INTEGER1) | TYPEOF(OBJECT1) |
|----------------+----------------+------------------+------------------+------------------+------------------+-----------------+------------------+-----------------|
| ARRAY          | ARRAY          | BOOLEAN          | VARCHAR          | VARCHAR          | DECIMAL          | DOUBLE          | INTEGER          | OBJECT          |
+----------------+----------------+------------------+------------------+------------------+------------------+-----------------+------------------+-----------------+

Show whether a column contains integers in the data by using the IS_INTEGER function in a SELECT list:

SELECT IS_INTEGER(decimal1),
       IS_INTEGER(double1),
       IS_INTEGER(integer1)
  FROM multiple_types;
Copy
+----------------------+---------------------+----------------------+
| IS_INTEGER(DECIMAL1) | IS_INTEGER(DOUBLE1) | IS_INTEGER(INTEGER1) |
|----------------------+---------------------+----------------------|
| False                | False               | True                 |
+----------------------+---------------------+----------------------+
Language: English