create revenue_pdt_explore Change-Id: I719d4cfc54d82905934478da9a9ff09e45d57a89
diff --git a/explores/revenue_pdt_explore.view.lkml b/explores/revenue_pdt_explore.view.lkml new file mode 100644 index 0000000..d2d602f --- /dev/null +++ b/explores/revenue_pdt_explore.view.lkml
@@ -0,0 +1,45 @@ + +include: "../views/*.view.lkml" +explore: revenue_pdt_explore { + view_name: revenue_pdt + label: "revenue_pdt_explore label bis" +} + +# view: revenue_pdt_explore { +# # Or, you could make this view a derived table, like this: +# derived_table: { +# sql: SELECT +# user_id as user_id +# , COUNT(*) as lifetime_orders +# , MAX(orders.created_at) as most_recent_purchase_at +# FROM orders +# GROUP BY user_id +# ;; +# } +# +# # Define your dimensions and measures here, like this: +# dimension: user_id { +# description: "Unique ID for each user that has ordered" +# type: number +# sql: ${TABLE}.user_id ;; +# } +# +# dimension: lifetime_orders { +# description: "The total number of orders for each user" +# type: number +# sql: ${TABLE}.lifetime_orders ;; +# } +# +# dimension_group: most_recent_purchase { +# description: "The date when each user last ordered" +# type: time +# timeframes: [date, week, month, year] +# sql: ${TABLE}.most_recent_purchase_at ;; +# } +# +# measure: total_lifetime_orders { +# description: "Use this for counting lifetime orders across many users" +# type: sum +# sql: ${lifetime_orders} ;; +# } +# }
diff --git a/views/revenue_pdt.view.lkml b/views/revenue_pdt.view.lkml index 35631ea..dbcf868 100644 --- a/views/revenue_pdt.view.lkml +++ b/views/revenue_pdt.view.lkml
@@ -11,9 +11,9 @@ # # # Define your dimensions and measures here, like this: dimension: foo { - description: "foo" + description: "foo dimension description" type: string - sql: ${TABLE}.user_id ;; + sql: ${TABLE}.foo ;; } # # dimension: lifetime_orders {