LKML
Social shopping
Orders
Orders model for social shopping.
inferred
Blocks
orders.view.lkml · 116 lines
inferred
view: orders {
sql_table_name: public.orders ;;
dimension: id {
type: int
primary_key: yes
sql: ${TABLE}.id ;;
}
dimension: assigned_admin_id {
type: int
sql: ${TABLE}.assigned_admin_id ;;
}
dimension: error_type {
sql: ${TABLE}.error_type ;;
}
dimension: ip {
sql: ${TABLE}.ip ;;
}
dimension: order_currency {
sql: ${TABLE}.order_currency ;;
}
dimension: payment_profile_id {
type: int
sql: ${TABLE}.payment_profile_id ;;
}
dimension: platform {
sql: (case when ${TABLE}.platform like 'i%' then 'iOS' when ${TABLE}.platform like 'a%' then 'Android' when ${TABLE}.platform like 'd%' then 'Desktop' else NULL end) ;;
}
dimension: pricing_model_type {
sql: ${TABLE}.pricing_model_type ;;
}
dimension: service_fee_cents {
type: int
sql: ${TABLE}.service_fee_cents ;;
}
dimension: shipping_cents {
type: int
sql: ${TABLE}.shipping_cents ;;
}
dimension: state {
sql: ${TABLE}.state ;;
}
dimension: sub_total_cents {
type: int
sql: ${TABLE}.sub_total_cents ;;
}
dimension: tax_cents {
type: int
sql: ${TABLE}.tax_cents ;;
}
dimension: total_cents {
type: int
sql: ${TABLE}.total_cents ;;
}
dimension: user_id {
type: int
sql: ${TABLE}.user_id ;;
}
dimension: is_successfully_placed {
type: yesno
sql: ${TABLE}.state not in ('new', 'abandoned', 'declined', 'failed') ;;
}
dimension_group: placed {
type: time
timeframes: [time, date, week, month, year]
sql: ${TABLE}.placed_at ;;
}
measure: count {
type: count
drill_fields: [id, users.id, users.username]
}
measure: unique_users_count {
type: count_distinct
sql: ${TABLE}.user_id ;;
}
measure: revenue {
type: sum
value_format: "$#,##0.00"
sql: ${total_cents} / 100.0 ;;
}
measure: aov {
type: avg
value_format: "$#,##0.00"
sql: ${total_cents} / 100.0 ;;
}
measure: avg_shipment_days {
type: avg
sql: ${order_shipment_dates.shipped_date} - ${placed_date} ;;
}
measure: avg_delivery_days {
type: avg
sql: ${order_delivery_dates.delivered_date} - ${placed_date} ;;
}
}
orders.view.lookml · 78 lines
source-preserved
- view: orders
sql_table_name: public.orders
fields:
- dimension: id
type: int
primary_key: true
sql: ${TABLE}.id
- dimension: assigned_admin_id
type: int
sql: ${TABLE}.assigned_admin_id
- dimension: error_type
sql: ${TABLE}.error_type
- dimension: ip
sql: ${TABLE}.ip
- dimension: order_currency
sql: ${TABLE}.order_currency
- dimension: payment_profile_id
type: int
sql: ${TABLE}.payment_profile_id
- dimension: platform
sql: (case when ${TABLE}.platform like 'i%' then 'iOS' when ${TABLE}.platform like 'a%' then 'Android' when ${TABLE}.platform like 'd%' then 'Desktop' else NULL end)
- dimension: pricing_model_type
sql: ${TABLE}.pricing_model_type
- dimension: service_fee_cents
type: int
sql: ${TABLE}.service_fee_cents
- dimension: shipping_cents
type: int
sql: ${TABLE}.shipping_cents
- dimension: state
sql: ${TABLE}.state
- dimension: sub_total_cents
type: int
sql: ${TABLE}.sub_total_cents
- dimension: tax_cents
type: int
sql: ${TABLE}.tax_cents
- dimension: total_cents
type: int
sql: ${TABLE}.total_cents
- dimension: user_id
type: int
sql: ${TABLE}.user_id
- dimension: is_successfully_placed
type: yesno
sql: ${TABLE}.state not in ('new', 'abandoned', 'declined', 'failed')
- dimension_group: placed
type: time
timeframes:
- time
- date
- week
- month
- year
sql: ${TABLE}.placed_at
- measure: count
type: count
drill_fields:
- id
- users.id
- users.username
- measure: unique_users_count
type: count_distinct
sql: ${TABLE}.user_id
- measure: revenue
type: sum
value_format: '$#,##0.00'
sql: ${total_cents} / 100.0
- measure: aov
type: avg
value_format: '$#,##0.00'
sql: ${total_cents} / 100.0
- measure: avg_shipment_days
type: avg
sql: ${order_shipment_dates.shipped_date} - ${placed_date}
- measure: avg_delivery_days
type: avg
sql: ${order_delivery_dates.delivered_date} - ${placed_date}
Contents
- orders.view.lkml
- orders.view.lookml