Question

我正在尝试获取符合允许的时间范围的通话百分比。但是由于一种情况，通话时间少于30秒，我无法正常工作。我尝试在Select语句中算出30秒的条件，但这种方法不起作用（我每次都保持100％的效率，并且逐一查看数字后，这是不可能的。

Select date, count("speed of answer" < '00:00:30')/ count(calls) as SLA
From five9_data.calllog
Where "call type" = 'Inbound' and campaign in ('Eves Addiction', 'Brook and York') and "service level" = '1' and skill = 'Eves Sales V' 
Group By date
Order By date desc
Limit 5000

以下是全部2条查询：

Select date, count(calls) as Total
From five9_data.calllog
Where 
  "call type" = 'Inbound' 
  and campaign in ('Eves Addiction', 'Brook and York') 
  and "service level" = '1' 
  and skill = 'Eves Sales V'   
Group By date
Order By date desc

AND

Select date, count("speed of answer") as AnsweredInTime
From five9_data.calllog
Where 
  "call type" = 'Inbound' 
  and campaign in ('Eves Addiction', 'Brook and York') 
  and "service level" = '1' 
  and skill = 'Eves Sales V' 
  and "speed of answer" < '00:00:30'
Group By date
Order By date desc

它具有相同的数据源，因此union无效，并且认为Join无效。

结束游戏，我希望能够进行一个查询，使上面的2个查询能够起作用，并最终将AnsweredInTime除以Total。

Answer 1

COUNT（exp）函数将计算exp不为空的行数-不在乎true或false。您可以通过执行命令select count(false)（评估为1）和select count(NULL)（评估为0）来验证这一点。因此，而不是

 count("speed of answer" < '00:00:30')

您可以尝试

 count(nullif("speed of answer" < '00:00:30', FALSE))

（如果速度<00:30，则该值不会为null，因此将被计算在内）或

 sum(case when "speed of answer" < '00:00:30' then 1 else 0 end)

Answer 2

我建议将查询编写为：

Select date,
       count(*) as total_count,
       sum( ("speed of answer" < '00:00:30')::int ) as num_AnsweredInTime,
       avg( ("speed of answer" < '00:00:30')::int ) as ratio_AnsweredInTime
from five9_data.calllog
where "call type" = 'Inbound' and
      campaign in ('Eves Addiction', 'Brook and York') and
      "service level" = '1' and
      skill = 'Eves Sales V'
Group By date
Order By date desc

Answer 3

选择日期， count（*）为total_count， sum（（“ answer speed” <'00：00：30'）:: int）为num_AnsweredInTime， avg（（“ answer speed” <'00：00：30'）:: int）为ratio_AnsweredInTime 从Five9_data.calllog 其中“呼叫类型” =“入站”和广告系列（“除夕瘾”，“布鲁克与约克”）和 “服务水平” =“ 1”，并且技能=“前夕销售V” 按日期分组按日期排序

尝试从这两个查询中进行单个查询

3 个答案: