(PHP 5, PHP 7, PHP 8, PECL OCI8 >= 1.1.0)

oci_field_scaleLit l'échelle d'une colonne Oracle


oci_field_scale(resource $statement, string|int $column): int|false

Lit l'échelle d'une colonne Oracle.

Pour les colonnes de type FLOAT, la précision et non nulle, et l'échelle est de -127. Si la précision est 0, alors la colonne est de type NUMBER. Sinon, elle est de type NUMBER(precision, scale).

Liste de paramètres


Un identifiant de requête OCI valide.


Peut être un index de champ (en commençant à 1) ou le nom d'un champ.

Valeurs de retour

Retourne l'échelle, sous la forme d'un entier, ou false si une erreur survient


Exemple #1 Exemple avec oci_field_scale()


// Création de la table avec :
// CREATE TABLE mytab (c1 NUMBER, c2 FLOAT, c3 NUMBER(4), c4 NUMBER(5,3));

$conn = oci_connect("hr", "hrpwd", "localhost/XE");
if (!
$conn) {
$m = oci_error();
trigger_error(htmlentities($m['message']), E_USER_ERROR);

$stid = oci_parse($conn, "SELECT * FROM mytab");
oci_execute($stid, OCI_DESCRIBE_ONLY); // Utilisation de OCI_DESCRIBE_ONLY si aucune ligne n'est récupérée

$ncols = oci_num_fields($stid);
for (
$i = 1; $i <= $ncols; $i++) {
oci_field_name($stid, $i) . " "
. oci_field_precision($stid, $i) . " "
. oci_field_scale($stid, $i) . "<br>\n";

// Affiche :
// C1 0 -127
// C2 126 -127
// C3 4 0
// C4 5 3



Voir aussi

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User Contributed Notes 1 note

6 years ago
If you're converting SQL values to their respective float and int values based on scale and precision like I am, there's a catch, here.

This is a slimmed-down version of the conversion logic I'm using :

= [
'id' => $field_id,
'name' => oci_field_name($statement, $field_id),
'type' => oci_field_type($statement, $field_id),
'scale' => oci_field_scale($statement, $field_id);
'precision' => oci_field_precision($statement, $field_id);

$str_data = oci_result($statement, $field_id)

$col['type']) {
if (
$col['precision'] !== 0 && $col['scale'] === -127) {
// A binary float
$data = floatval($str_data);
} else if(
$col['scale'] === 0) {
// An integer
$data = intval($str_data);
} else {
// A fixed-point decimal number, which has no equivalent in PHP, so float
$data = floatval($str_data);


$data = $str_data;

"{$col['name']} : $str_data ({$col['type']} ({$col['precision']}, {$col['scale']})) -> $data\n");

What the doc doesn't say is that any number column that was defined without a scale parameter counts as a plain NUMBER(), which always has a precision of 0 and a scale of -127, so they get interpreted as floats even when they should be integers.

What the doc also doesn't say is that __all analytics functions that return numbers return a plain NUMBER()__, so something like COUNT(*), RANK() or FIRST_VALUE(foo) is still going to net you a float.

Be careful with these if you have any type-sensitive code that relies on those values (I'm personally very fond of using type-hinting and strict_types = 1).
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