Yii2 如何输出 sql 语句?

可以用 $model->find()->createCommand()->getRawSql();
不能带 all(). find() 它的
返回值类型是 yii\db\ActiveQuery,
而find()->all() 返回的就是数组了。

举个栗子aaarticlea/jpeg;base64,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" alt="" width="110" height="110" />

$query = User::find()
->where(['id'=>[1,2,3,4])
->select(['username'])
// get the AR raw sql in YII2
$commandQuery = clone $query;
echo $commandQuery->createCommand()->getRawSql();
$users = $query->all();
上一篇:Scala实现树形结构


下一篇:JMeter脚本java代码String数组要写成String[] args,不能写成String args[],否则报错。