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oci_field_scale

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

oci_field_scaleフィールドの桁数を問い合わせる

説明

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

column に対応するカラムの桁数を返します。

FLOAT 型カラムの精度は 0 でなく桁数は -127 となります。 もし精度が 0 の場合、カラムは NUMBER 型、そうでなければ NUMBER(精度, 桁数) となります。

パラメータ

statement

有効な OCI ステートメント ID。

column

フィールド番号 (1 から始まる) あるいは名前のいずれか。

戻り値

桁数を表す整数値を返します。 失敗した場合に false を返します

例1 oci_field_scale() の例

<?php

// 以下のテーブルを用意します
// 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); // 行をフェッチしない場合は OCI_DESCRIBE_ONLY を使います

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

// 出力は
// C1 0 -127
// C2 126 -127
// C3 4 0
// C4 5 3

oci_free_statement($stid);
oci_close($conn);

?>

参考

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User Contributed Notes 1 note

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1
VLroyrenn
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 :

<?php
$col
= [
'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)

switch(
$col['type']) {
case
'NUMBER':
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);
}

break;

default:
$data = $str_data;
break;
}

echo(
"{$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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