select ceil(cast(count(1) as double precision) / 5） FROM order where order.is_deleted='0'这个sql语句的错误在哪

个人认为，这个 SQL 语句的错误在于表名 "order" 是一个 SQL 关键字，需要用反引号或者加上数据库名来避免语法错误。正确的 SQL 语句应该是：

SELECT CEIL(CAST(COUNT(1) AS DOUBLE PRECISION) / 5) FROM `order` WHERE `order`.is_deleted = '0';

或者：

SELECT CEIL(CAST(COUNT(1) AS DOUBLE PRECISION) / 5) FROM database_name.`order` WHERE `order`.is_deleted = '0';

注意，这只是个人的看法，不代表 ChatGPT 的观点。

相关问题

select ceil(cast(count(1) as double precision) / 5, FROM orderwhere order.is_deleted='0'这个sql语句的错误在哪

个人认为这个 SQL 语句的错误在于缺少一个右括号，正确的语句应该是：

SELECT CEIL(CAST(COUNT(1) AS DOUBLE PRECISION) / 5) FROM order WHERE order.is_deleted='0'

class TimeWindowSequence(Sequence): def __init__(self, x, y, batch_size, window_size): self.x = x self.y = y self.batch_size = batch_size self.window_size = window_size self.window_count = int(np.ceil(x.shape[0] / window_size)) def __len__(self): return int(np.ceil(self.x.shape[0] / self.batch_size)) def __getitem__(self, idx): batch_x = np.zeros((self.batch_size, self.window_size, self.x.shape[1])) batch_y = np.zeros((self.batch_size, self.y.shape[1])) for i in range(self.batch_size): j = idx * self.batch_size + i if j >= self.window_count: break window_x = self.x[j*self.window_size:(j+1)*self.window_size, :] window_y = self.y[j*self.window_size:(j+1)*self.window_size, :] batch_x[i, :window_x.shape[0], :] = window_x batch_y[i, :] = window_y[-1, :] return batch_x, batch_y出现

这段代码中似乎缺少了一个缩进，导致 `return` 语句在 `for` 循环内部。可以尝试将 `return` 语句缩进到 `for` 循环外部，如下所示：

class TimeWindowSequence(Sequence):
    def __init__(self, x, y, batch_size, window_size):
        self.x = x
        self.y = y
        self.batch_size = batch_size
        self.window_size = window_size
        self.window_count = int(np.ceil(x.shape[0] / window_size))

    def __len__(self):
        return int(np.ceil(self.x.shape[0] / self.batch_size))

    def __getitem__(self, idx):
        batch_x = np.zeros((self.batch_size, self.window_size, self.x.shape[1]))
        batch_y = np.zeros((self.batch_size, self.y.shape[1]))
        for i in range(self.batch_size):
            j = idx * self.batch_size + i
            if j >= self.window_count:
                break
            window_x = self.x[j*self.window_size:(j+1)*self.window_size, :]
            window_y = self.y[j*self.window_size:(j+1)*self.window_size, :]
            batch_x[i, :window_x.shape[0], :] = window_x
            batch_y[i, :] = window_y[-1, :]
        return batch_x, batch_y

这样应该就可以解决这个问题了。