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 { }