Orders by shipment status and shipping method name

How to use the Metrics API to get the total number of orders of your organization, grouped by the associated shipment status and the related shipping method name

The problem

You want to get the total number of orders over a selected date and time range, grouped by the status of the associated shipments. For each shipment status, you also want to group the results by the related shipping method name.

The solution

Query

You need to perform a breakdown query setting the required query keys as follows and adding the optional ones based on your needs:

KeyValue

by

shipments.status

field

order.id

operator

value_count

You also need to add a nested breakdown setting the related query keys as follows:

KeyValue

by

shipments.shipping_method.name

field

order.id

operator

value_count

Filter

Make sure to set the desired date and time range using the date_from and date_to keys in the filter.

In the example below, since the date_field isn't specified in the date filter, the default value current_date will be used, meaning that the results will count all the orders that changed their status within the selected date and time range (read more about this).

Example

The following request uses the Metrics API to get the total number of orders, grouped by the associated shipment status and the related shipping method name:

curl -g -X POST \
  'https://{{your_domain}}.commercelayer.io/metrics/orders/breakdown' \
  -H 'Accept: application/vnd.api.v1+json' \
  -H 'Content-Type: application/vnd.api+json' \
  -H 'Authorization: Bearer {{your_access_token}}' \
  -d '{
    "breakdown": {
      "by": "shipments.status",
      "field": "order.id",
      "operator": "value_count",
      "limit": 10,
      "breakdown": {
        "by": "shipments.shipping_method.name",
        "field": "order.id",
        "operator": "value_count",
        "limit": 5
      }
    },
    "filter": {
      "order": {
        "date_from": "2021-01-01T00:00:00Z",
        "date_to": "2022-11-31T23:59:00Z"
      }
    }
  }'

Similar cases

Just changing a couple of query keys and/or filter parameters you can address lots of very similar use cases, such as:

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