LKML
Health marketing
Time
Time model for health marketing.
inferred
Blocks
time.view.lkml · 64 lines
inferred
view: time {
sql_table_name: data_warehouse.DWIMP_TIME ;;
dimension: time_id {
type: int
primary_key: yes
sql: ${TABLE}.TIME_ID ;;
}
dimension: flex_cat1 {
sql: ${TABLE}.FLEX_CAT1 ;;
}
dimension: flex_cat2 {
sql: ${TABLE}.FLEX_CAT2 ;;
}
dimension: flex_cat3 {
sql: ${TABLE}.FLEX_CAT3 ;;
}
dimension: hour_of_day {
type: int
sql: ${TABLE}.HOUR_OF_DAY ;;
}
dimension: minutes_of_hour {
type: int
sql: ${TABLE}.MINUTES_OF_HOUR ;;
}
dimension: sec_of_day {
type: int
sql: ${TABLE}.SEC_OF_DAY ;;
}
dimension: sec_of_minute {
type: int
sql: ${TABLE}.SEC_OF_MINUTE ;;
}
dimension: time_meridian {
sql: ${TABLE}.TIME_MERIDIAN ;;
}
dimension: time_of_day {
sql: ${TABLE}.TIME_OF_DAY ;;
}
dimension: working_day {
sql: ${TABLE}.WORKING_DAY ;;
}
measure: count {
type: count
drill_fields: [time_id, takes.count]
}
measure: hours_count {
type: count_distinct
drill_fields: [takes.hourly_media_set*]
sql: ${TABLE}.hour_of_day ;;
}
}
time.view.lookml · 41 lines
source-preserved
- view: time
sql_table_name: data_warehouse.DWIMP_TIME
fields:
- dimension: time_id
type: int
primary_key: true
sql: ${TABLE}.TIME_ID
- dimension: flex_cat1
sql: ${TABLE}.FLEX_CAT1
- dimension: flex_cat2
sql: ${TABLE}.FLEX_CAT2
- dimension: flex_cat3
sql: ${TABLE}.FLEX_CAT3
- dimension: hour_of_day
type: int
sql: ${TABLE}.HOUR_OF_DAY
- dimension: minutes_of_hour
type: int
sql: ${TABLE}.MINUTES_OF_HOUR
- dimension: sec_of_day
type: int
sql: ${TABLE}.SEC_OF_DAY
- dimension: sec_of_minute
type: int
sql: ${TABLE}.SEC_OF_MINUTE
- dimension: time_meridian
sql: ${TABLE}.TIME_MERIDIAN
- dimension: time_of_day
sql: ${TABLE}.TIME_OF_DAY
- dimension: working_day
sql: ${TABLE}.WORKING_DAY
- measure: count
type: count
drill_fields:
- time_id
- takes.count
- measure: hours_count
type: count_distinct
drill_fields:
- takes.hourly_media_set*
sql: ${TABLE}.hour_of_day
Contents
- time.view.lkml
- time.view.lookml