Usage
view: view_name { dimension: field_name { primary_key: yes } }
Hierarchy primary_key | Possible Field Types Dimension Accepts A Boolean (yes or no) |
Definition
The primary_key
parameter specifies that a dimension is the primary key for its view. The default value is false
. For example:
dimension: id { primary_key: yes sql: ${TABLE}.id ;; }
The primary_key
parameter has the following qualities:
- Helps Looker to avoid unnecessary
GROUP BY
clauses. - Is necessary to make the
foreign_key
parameter work properly. - Is required for the proper functioning of symmetric aggregates. When you join views with measures (aggregates), a
primary_key
must be defined on each side of the join to properly calculate the aggregations.
The primary_key
parameter has the following limitations:
- You cannot add this parameter to more than one field in each view.
- You cannot add this parameter to a
dimension_group
that specifies more than onetimeframe
.
Creating a compound primary key
If you have a primary key that is comprised of multiple columns, you can create a dimension that concatenates those columns, then declare that as your primary key. For example:
dimension: primary_key { primary_key: yes sql: CONCAT(${TABLE}.promotion_id, ${TABLE}.sku) ;; }
CONCAT
works in some databases, such as MySQL, but other databases might have a different equivalent. Redshift, for example, uses||
as its concatenation operator.
Using a persistent derived table (PDT) to create a primary key
In cases where there is no reasonable way to identify a unique row as a primary key, you can create a persistent derived table (PDT) to generate a unique ID. For example, the following derived table uses the table's row number to serve as a primary key:
view: transaction { # sql_table_name: warehouse.transaction derived_table: { sql: SELECT ROW_NUMBER as transaction_pk, * FROM warehouse.transaction ;; sql_trigger_value: SELECT CURRENT_DATE ;; indexes: [customer_id, product_id, salesperson_id, transaction_date] } dimension: transaction_pk { type: number primary_key: yes hidden: yes sql: ${TABLE}.transaction_pk ;; ... } }
Defining a new primary key in an extended view
If you use the extends
parameter to extend a view, the primary key from the base view will be extended to the new view.
To change the primary key to a new dimension, add primary_key: no
to the original dimension definition in the new view, and add primary_key: yes
to the new dimension definition in the new view.
view: base { dimension: old_primary_key { primary_key: yes sql: ${TABLE}.id ;; } } view: new { extends: base dimension: old_primary_key { primary_key: no } dimension: new_primary_key { primary_key: yes sql: ${TABLE}.new_id ;; } }