SpaceONE Documentation
Service Guide
User Guide
Asset Inventory
Metric Explorer

Metric Explorer

Data Exploration

Select a specific workspace environment → Navigate to [Asset Inventory > Metric Explorer] menu.

Select Namespace

Enter a search term or select one from the list in the ‘Namespace’ area located in the left sidebar.

Select Metric

Choose the metric you want to analyze.

Utilize Options

ItemDescription
OperatorSelect one from Sum / Average / Max / Min.
Time UnitYou can view data by day or month.
PeriodYou can select a period according to the chosen ‘Time Unit’.
FilterYou can filter and view data using various options.
Group StatisticsYou can quickly check key data by clicking multiple Group-by options.

Use Chart Types

  • You can view data in various chart types such as Line graph / Bar chart / Treemap / Donut chart.

Check Table Data

You can view detailed data matching your selected options and metrics, and export to Excel.

Add/Manage Examples

You can create example data with option values such as operator, period, and filter for each metric.

Add Example

After setting values for Operator, Time Unit, Period, Filter, Group Statistics on a specific metric page, you can save them through the [+ Add Example] button in the top right, and all detailed settings will be included in the data.


Added examples will be located under the corresponding metric.

Manage Examples

After creation, you can change various settings and [Save] immediately or [Save As] with a different name.

Edit and Delete Examples

  • Examples can be renamed and deleted.

Custom Metrics

In addition to provided metrics, you can add metrics that you define yourself.

Method 1) Create New by ‘Cloning’ Existing Metrics

For default metrics, query modification is not possible. Instead, when you clone a metric, you can modify the query directly.
You can clone existing metrics using the [Clone] button in the top right.

Method 2) Direct Creation through Query Input

When selecting a specific namespace, you can see the [+] button in the left sidebar. This button is for adding Custom Metrics to that namespace.


For custom metrics that are directly created or cloned as above, you can modify the query through the [Edit Query] button.


You can write queries according to the following guide:
ParameterTypeDescriptionExample
unwindlist of objectSeparates a specific Array type field into separate rows.

a = data.listeners = [{…}, {…}, {…}]

# Changed to
a1 = data.listeners = {…}
a2 = data.listeners = {…}
a3 = data.listeners = {…}
{
  “unwind”: {
    “path”: “data.listeners”
  }
}
group_bylist of stringConditions for grouping data. Support range varies by API.
{
  “group_by”: [
    “product”,
    “region_code”,
    “…"
  ]
}
filterlist of objectConditions for filtering data, same as existing query filters.
{
  “filter”: [
    {
      “k”: “…”,
      “v”: “…”,
      “o”: “…"
    },
    {
      “k”: “…”,
      “v”: “…”,
      “o”: “…"
    }
  ]
}
fieldsobjectDefines the returned data, with different usage methods for each operator.

[Supported operators]

sum
Supports only int or float fields

average
Supports only int or float fields

max
Supports only int or float fields

min
Supports only int or float fields

When performing sum, average, max, min operations on Array Data, need to add data_type: array

count
Does not require a key
Caution needed for advanced operators!

push
- Extracts certain fields and sets them as Array of Objects
- Does not support sub_group
- Can specify key or fields
# When specifying key
[, , …]

# When specifying fields
[{: , : }, …]

add_to_set
- Removes duplicates for declared fields and converts to Array
- Does not support sub_group
{
  “fields”: {
    “usd_cost_sum”: {
      “key”: “usd_cost”,
      “operator”: “sum”
    },
    “usd_cost_avg”: {
      “key”: “usd_cost”,
      “operator”: “average”
    },
    “usage_quantity_max”: {
      “key”: “usage_quantity”,
      “operator”: “max”
    },
    “usd_cost_row_count”: {
      “operator”: “count”
    },
    “total_disk_size”: {
      “key”: “data.disks.size”,
      “operator”: “sum”,
      “data_type”: “array”
    },
    “cost_tags”: {
      “operator”: “push”,
      “fields”: {
        “name”: “tags.Name”,
        “service”: “tags.Service”
      }
    },
    “cost_region_codes”: {
      “key”: “region_code”,
      “operator”: “push”
    },
    “cost_product_list”: {
      “key”: “product”,
      “operator”: “add_to_set”
    }
  }
}
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