curl --request POST \
--url https://api.select.dev/v2/metrics/databricks-clusters/query \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--header 'x-tenant-id: <x-tenant-id>' \
--data '
{
"measures": [
"sum_spend",
"utilization_efficiency_percent",
"percent_change_sum_spend",
"dollars_saved",
"sum_estimated_savings_non_enabled"
],
"dimensions": [
"workspace_id",
"cluster_id",
"cluster_name",
"owned_by",
"automated_savings_filter_status"
],
"filter_expression": {
"operator": "and",
"filters": [
{
"field": "day",
"operator": "in range",
"value": "30D"
}
]
},
"sort": [
{
"field": "sum_spend",
"direction": "desc"
}
],
"limit": 20
}
'{
"items": [
{}
],
"page_token": "<string>",
"row_count": 123,
"sql": "<string>"
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}Query Databricks clusters
One row per group of Databricks clusters, either as a configuration inventory or as spend and utilization over the requested period, depending on the fields the request names.
Returns one row per combination of the requested dimensions, carrying the requested measures. Each row is keyed by dimension and measure name. row_count is the number of rows in items: results are not paginated, so an aggregation with more rows than limit is cut short at limit rather than continued under a page_token. Send X-Team-Id to evaluate the query as a team you belong to; rows are then limited to what that team’s roles reach.
Use this route for the spend, utilization and savings of Databricks all-purpose clusters (the clusters that users create from the UI or the API). It does not include job clusters: for job compute, use databricks-jobs. The fields in the request pick the source. A request that names only cluster_count and configuration dimensions reads the cluster configuration history. That source has one row for each configuration change of a cluster, so a cluster whose configuration changed can count in more than one group. A request that names any other measure, or a time dimension, reads the cluster summary. The summary starts from the latest configuration of each cluster, so a cluster with no activity in the range gives a row with null measures. sum_spend, idle_spend and dollars_saved are dollars. usage_dbus is DBUs. utilization_efficiency_percent and the CPU and memory measures are 0 to 100. dollars_saved is the realized Automated Savings. The sum_estimated_savings* measures are a simulation of what Automated Savings would save, not realized savings. The *_annualized measures are run-rates, not spend in the range. For per-node CPU and memory, use databricks-cluster-node-metrics.
curl --request POST \
--url https://api.select.dev/v2/metrics/databricks-clusters/query \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--header 'x-tenant-id: <x-tenant-id>' \
--data '
{
"measures": [
"sum_spend",
"utilization_efficiency_percent",
"percent_change_sum_spend",
"dollars_saved",
"sum_estimated_savings_non_enabled"
],
"dimensions": [
"workspace_id",
"cluster_id",
"cluster_name",
"owned_by",
"automated_savings_filter_status"
],
"filter_expression": {
"operator": "and",
"filters": [
{
"field": "day",
"operator": "in range",
"value": "30D"
}
]
},
"sort": [
{
"field": "sum_spend",
"direction": "desc"
}
],
"limit": 20
}
'{
"items": [
{}
],
"page_token": "<string>",
"row_count": 123,
"sql": "<string>"
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}{
"title": "<string>",
"status": 123,
"detail": "<string>",
"code": "<string>",
"retryable": true,
"type": "about:blank",
"details": [
{}
]
}Authorizations
Organization API key (sl_…).
Headers
Act as this team: rows are limited to what the team's roles reach instead of the caller's own. The caller must be a member of the team or hold the organization-wide permission the route requires.
The organization ID the request is scoped to.
Body
Aggregate Databricks clusters as inventory or as spend over time.
A request that asks only for inventory measures such as cluster_count reads
the cluster configuration table. A request that asks for spend or utilization
over time reads the cluster summary table instead.
Categorize against these set definitions instead of the organization's saved usage group sets, for evaluating a set before saving it. Omit to use the saved sets, which is what every other surface reports against.
Show child attributes
Show child attributes
Aggregates to compute over the matching rows.
Show child attributes
Show child attributes
Columns to group the aggregates by. Each is returned on every row.
Show child attributes
Show child attributes
An and/or tree of predicates over dimensions, applied before aggregation. Omit to match every row the caller can see.
Show child attributes
Show child attributes
Predicates over measures, applied after aggregation.
- InFilter[DatabricksClusterMeasures]
- ArrayContainsFilter[DatabricksClusterMeasures]
- IsFilter[DatabricksClusterMeasures]
- LikeFilter[DatabricksClusterMeasures]
- MultiLikeFilter[DatabricksClusterMeasures]
- EqFilter[DatabricksClusterMeasures]
- FilterExpression[DatabricksClusterMeasures]
- InRelativeDateRangeFilter[DatabricksClusterMeasures]
Show child attributes
Show child attributes
Ordering applied to the aggregated rows.
Show child attributes
Show child attributes
Maximum rows to return. Omit for no limit. An aggregation that produces more rows than this is silently cut short at the limit.
x >= 1Return the SQL that produced the rows alongside them, for inspecting how a result was computed. Not every query endpoint publishes its SQL; where it does not, the field stays null.
Reshape the result so the named dimensions become columns rather than rows. Each remaining dimension yields one row, carrying a pivot_data object keyed by the pivoted dimension values. Every name in pivot.on must also appear in dimensions.
Show child attributes
Show child attributes
Return the result as a tree rather than a flat list, grouping the named dimensions into one level per tree depth. One request fetches the top level; a follow-up naming rollup.parent_paths fetches the children of the nodes expanded so far, so a deep hierarchy is read a level at a time. Every name in rollup.dimensions must also appear in dimensions.
Show child attributes
Show child attributes
Aggregate the matching rows. Set false to return the underlying rows as they are, projecting the requested dimensions with no grouping — a listing rather than an aggregation. It is honored only for a request that asks for no measures and no measure_filters, since an aggregate has to group to be computable; limit, when set, bounds the rows returned either way.
Response
Successful Response
Opaque cursor for the next page; empty/absent on the last page.
Best-effort total for the filtered result set; may be null when expensive.
The SQL that produced these rows, returned only when the request asks for it. Database and schema names are left as placeholders. Null when the request did not ask for it, or when this endpoint does not publish its SQL.