Get machine learning memory usage info
Added in 8.2.0
Get information about how machine learning jobs and trained models are using memory, on each node, both within the JVM heap, and natively, outside of the JVM.
Path parameters
-
node_id
string Required The names of particular nodes in the cluster to target. For example,
nodeId1,nodeId2
orml:true
Query parameters
-
human
boolean Specify this query parameter to include the fields with units in the response. Otherwise only the
_in_bytes
sizes are returned in the response. -
master_timeout
string Period to wait for a connection to the master node. If no response is received before the timeout expires, the request fails and returns an error.
-
timeout
string Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
GET
/_ml/memory/{node_id}/_stats
curl \
--request GET http://api.example.com/_ml/memory/{node_id}/_stats \
--header "Authorization: $API_KEY"
Response examples (200)
{
"_nodes": {
"failures": [
{
"type": "string",
"reason": "string",
"stack_trace": "string",
"caused_by": {},
"root_cause": [
{}
],
"suppressed": [
{}
]
}
],
"total": 42.0,
"successful": 42.0,
"failed": 42.0
},
"cluster_name": "string",
"nodes": {
"additionalProperty1": {
"attributes": {
"additionalProperty1": "string",
"additionalProperty2": "string"
},
"jvm": {
"": 42.0,
"heap_max_in_bytes": 42.0,
"java_inference_in_bytes": 42.0,
"java_inference_max_in_bytes": 42.0
},
"mem": {
"": 42.0,
"adjusted_total_in_bytes": 42.0,
"total_in_bytes": 42.0,
"ml": {
"": 42.0,
"anomaly_detectors_in_bytes": 42.0,
"data_frame_analytics_in_bytes": 42.0,
"max_in_bytes": 42.0,
"native_code_overhead_in_bytes": 42.0,
"native_inference_in_bytes": 42.0
}
},
"name": "string",
"roles": [
"string"
],
"transport_address": "string",
"ephemeral_id": "string"
},
"additionalProperty2": {
"attributes": {
"additionalProperty1": "string",
"additionalProperty2": "string"
},
"jvm": {
"": 42.0,
"heap_max_in_bytes": 42.0,
"java_inference_in_bytes": 42.0,
"java_inference_max_in_bytes": 42.0
},
"mem": {
"": 42.0,
"adjusted_total_in_bytes": 42.0,
"total_in_bytes": 42.0,
"ml": {
"": 42.0,
"anomaly_detectors_in_bytes": 42.0,
"data_frame_analytics_in_bytes": 42.0,
"max_in_bytes": 42.0,
"native_code_overhead_in_bytes": 42.0,
"native_inference_in_bytes": 42.0
}
},
"name": "string",
"roles": [
"string"
],
"transport_address": "string",
"ephemeral_id": "string"
}
}
}