Use dimension when creating measure with Case statement in Looker - group-by

Question

I am trying to create a measure conditionally based on a dimension.
My dimensions:
dimension_group: date {
hidden: yes
type: time
timeframes: [
raw,
date,
week,
month,
quarter,
year
]
convert_tz: no
datatype: date
sql: ${TABLE}.date ;;
}
dimension: status {
type: string
sql: CASE
WHEN UPPER(${TABLE}.status) ='APPROVED' THEN 'Approved'
WHEN UPPER(${TABLE}.status) ='PENDING' THEN 'Pending'
END;;
}
My Measures:
measure: xyz {
type: sum
value_format: "$#,##0.00"
sql: ${TABLE}.xyz ;;
}
measure: abc {
type: sum
value_format: "$#,##0.00"
sql: ${TABLE}.abc ;;
}
Measure with conditions:
measure: conditional {
type: number
value_format: "$#,##0.00"
sql: CASE WHEN ${status} = 'Pending' THEN ${xyz}
ELSE ${abc}
END;;
}
On my Explore, when I select date and conditional.  I keep getting the error:
ERROR: column "table.status" must appear in the GROUP BY clause or be used in an aggregate function
I understand what the error is. I am just not sure how to fix this. How do I resolve this error? I need all the dimensions and measures.

Answer 1

You can create a dimension conditional:
dimension: conditional {
type: number
value_format: "$#,##0.00"
sql: CASE WHEN ${status} = 'Pending' THEN ${xyz}
ELSE ${abc}
END;;
}
And then create a measure sum_conditional on that dimension:
measure: sum_conditional {
type: sum
value_format: "$#,##0.00"
sql: ${conditional};;
}