[英]SQL aggregation as rows, and columns
I have the following query to Google BigQuery SQL: 我对Google BigQuery SQL进行以下查询:
SELECT TypeOfDrink
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=1) THEN 1 ELSE 0 END) AS Sunday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=2) THEN 1 ELSE 0 END) AS Monday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=3) THEN 1 ELSE 0 END) AS Tuesday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=4) THEN 1 ELSE 0 END) AS Wednesday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=5) THEN 1 ELSE 0 END) AS Thursday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=6) THEN 1 ELSE 0 END) AS Friday,
SUM(CASE WHEN (DAYOFWEEK(CreateAt)=7) THEN 1 ELSE 0 END) AS Saturday,
COUNT(TypeOfDrink) AS AmountBought
FROM company_bigdata.Order
GROUP BY TypeOfDrink;
This is great, however I'm trying to port the data into Google Charts, and it requires the days of the weeks to be the rows, and the types of drinks to be the columns. 很好,但是我试图将数据移植到Google图表中,并且需要将星期几作为行,将饮料类型作为列。 However, my current output is this:
但是,我当前的输出是这样的:
Row TypeOfDrink Sunday Monday Tuesday Wednesday Thursday Friday Saturday AmountBought
1 Single Origin 5 31 12 25 11 17 0 101
2 Cappuccino 35 149 130 175 153 125 41 808
3 Caffè Mocha 24 150 161 148 176 167 6 832
However, I want the Days of the week as rows, and the TypeOfDrinks as the columns as follows: 但是,我希望将星期几作为行,将TypeOfDrinks作为列,如下所示:
Single Origin Cappuccino Caffe Mocha
Sunday 123 123 123 123 123
Monday 123 123 123 123 123
Tuesday
How would I go about doing this? 我将如何去做呢?
SELECT
DoW,
SUM(AmountBought * (TypeOfDrink = 'Single Origin')) AS SingleOrigin,
SUM(AmountBought * (TypeOfDrink = 'Cappuccino')) AS Cappuccino,
SUM(AmountBought * (TypeOfDrink = 'Caffè Mocha')) AS CaffeMocha
FROM (
SELECT
TypeOfDrink,
CASE
WHEN (DAYOFWEEK(CreateAt)=1) THEN 'Sunday'
WHEN (DAYOFWEEK(CreateAt)=2) THEN 'Monday'
WHEN (DAYOFWEEK(CreateAt)=3) THEN 'Tuesday'
WHEN (DAYOFWEEK(CreateAt)=4) THEN 'Wednesday'
WHEN (DAYOFWEEK(CreateAt)=5) THEN 'Thursday'
WHEN (DAYOFWEEK(CreateAt)=6) THEN 'Friday'
WHEN (DAYOFWEEK(CreateAt)=7) THEN 'Saturday'
ELSE 'UnDefined'
END AS DoW,
DAYOFWEEK(CreateAt) AS pos,
COUNT(TypeOfDrink) AS AmountBought
FROM company_bigdata.Order
GROUP BY 1, 2, 3
ORDER BY pos
)
GROUP BY 1
Added compact version of above (skipping intermediate grouping)
添加了上面的精简版本(跳过中间分组)
SELECT
DAYOFWEEK(CreateAt) AS pos,
CASE
WHEN (DAYOFWEEK(CreateAt)=1) THEN 'Sunday'
WHEN (DAYOFWEEK(CreateAt)=2) THEN 'Monday'
WHEN (DAYOFWEEK(CreateAt)=3) THEN 'Tuesday'
WHEN (DAYOFWEEK(CreateAt)=4) THEN 'Wednesday'
WHEN (DAYOFWEEK(CreateAt)=5) THEN 'Thursday'
WHEN (DAYOFWEEK(CreateAt)=6) THEN 'Friday'
WHEN (DAYOFWEEK(CreateAt)=7) THEN 'Saturday'
ELSE 'UnDefined'
END AS DoW,
SUM(TypeOfDrink = 'Single Origin') AS SingleOrigin,
SUM(TypeOfDrink = 'Cappuccino') AS Cappuccino,
SUM(TypeOfDrink = 'Caffè Mocha') AS CaffeMocha
FROM company_bigdata.Order
GROUP BY 1, 2
ORDER BY 1
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