Question

我有一个表的列名为“ IS_QUICK”，键入TINYINT（0 | 1）;

我需要计算在一段时间内他为真（1）和假（0）的次数：

在MySQL中：

    ids = request.POST.getlist("id")
    P_350 = request.POST["P_350"]
    P_450 = request.POST["P_450"]
    for id in ids:
        fp_item = fp.objects.get(id=id)
        items=[P_350,P_450]
        for index, w in enumerate(items):
            if index == 0:
                if len(w) > 1:
                    fp_item.P_350 = w
                    fp_item.save()
            elif index == 1:
                if len(w) > 1:
                    fp_item.P_450 = w
                    fp_item.save()

但是他返回第3天到第6天之间所有IS_QUICK的计数，而不仅仅是返回第3天（例如）

编辑：表格：

<td style="display:none;">
<input name="id" type="text" value={{ field.id }} >
</td>
<td width="650">
{{ field.FP_Item }}
</td>
{% if field.P_350|length == 0 %}
<td style="display:none;">
{% else %}
<td>
{% endif %}
<input name="P_350" type="text" value={{ field.P_350 }} >
</td>
{% if field.P_450|length == 0 %}
<td style="display:none;">
{% else %}
<td>
{% endif %}
<input name="P_450" type="text" value={{ field.P_450 }} >
</td>

Answer 1

要对布尔值TINYINT进行计数，您可以简单地使用SUM(field)来计数1，或使用SUM(NOT field)来计数0。

SELECT
    SUM(IS_QUICK) AS QUICK,
    SUM(NOT IS_QUICK) AS NOT_QUICK
FROM qp1_relatorio_quickview rq
WHERE rq.created_at BETWEEN '2018-07-03 00:00:00' AND '2018-07-06 23:59:59';

上面的查询将选择该期间的总计。例如，如果要每天汇总一次，请确保选择并按所有相关字段分组：

SELECT
    YEAR(rq.created_at) as ANO,
    MONTH(rq.created_at) as MES,
    DAY(rq.created_at) as DIA,
    SUM(IS_QUICK) AS QUICK,
    SUM(NOT IS_QUICK) AS NOT_QUICK
FROM qp1_relatorio_quickview rq
WHERE rq.created_at BETWEEN '2018-07-03 00:00:00' AND '2018-07-06 23:59:59'
GROUP BY ANO, MES, DIA;

Answer 2

您好，您可以尝试使用sum

  SELECT
    sum(CASE WHEN rq1.IS_QUICK= 1 THEN 1 ELSE 0 END) as IS_QUICK,
    sum(CASE WHEN rq1.IS_QUICK= 0 THEN 1 ELSE 0 END) as NOT_QUICK,
   , YEAR(rq.created_at) as ANO
   , MONTH(rq.created_at) as MES
   , DAY(rq.created_at) as DIA
   , HOUR(rq.created_at) as HORA
 FROM qp1_relatorio_quickview rq WHERE rq.created_at BETWEEN '2018-07-03 00:00:00' AND '2018-07-06 23:59:59'

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