a
Change-Id: Ife41a5a02c35857d3e0174d2b8e9340383924cca
diff --git a/http_testing.model.lkml b/http_testing.model.lkml
new file mode 100644
index 0000000..c23290a
--- /dev/null
+++ b/http_testing.model.lkml
@@ -0,0 +1,20 @@
+connection: "l4c_testing" # bare repo
+
+include: "test.view.lkml" # include all views in the views/ folder in this project
+# include: "/**/*.view.lkml" # include all views in this project
+# include: "my_dashboard.dashboard.lookml" # include a LookML dashboard called my_dashboard
+
+# # Select the views that should be a part of this model,
+# # and define the joins that connect them together.
+#
+# explore: order_items {
+# join: orders {
+# relationship: many_to_one
+# sql_on: ${orders.id} = ${order_items.order_id} ;;
+# }
+#
+# join: users {
+# relationship: many_to_one
+# sql_on: ${users.id} = ${orders.user_id} ;;
+# }
+# }
diff --git a/test.view.lkml b/test.view.lkml
index 85b1ad9..1c7f356 100644
--- a/test.view.lkml
+++ b/test.view.lkml
@@ -1,69 +1 @@
-view: test {
- # # You can specify the table name if it's different from the view name:
- # sql_table_name: my_schema_name.tester ;;
- #
- # # 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} ;;
- # }
-}
-
-# view: test {
-# # 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} ;;
-# }
-# }
+view: test { }
