Update Model

bigquery.update_model
ActionDatabases & warehousesconnection required

Calls bigquery v2 PATCH /projects/{projectsId}/datasets/{datasetsId}/models/{modelsId}.

Patch specific fields in the specified model.

Connection

Required
Yes — the node will not save without one
Auth type
OAuth 2.0
Providers
Google BigQuery
Secret shape
{"client_id", "client_secret", "refresh_token"}
Config it needs
project_id
Resolved by
config.connection_id, else node.connection_id

Configuration

3 fields, 3 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
dataset
Dataset name or id.
stringYes———
model
Model name or id.
stringYes———
body
The Model resource, as the API defines it.
objectYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
bestTrialId
string—
creationTime
string—
defaultTrialId
string—
description
string—
encryptionConfiguration
object—
etag
string—
expirationTime
string—
featureColumns
array—
friendlyName
string—
hparamSearchSpaces
object—
hparamTrials
array—
labelColumns
array—
labels
object—
lastModifiedTime
string—
location
string—
modelReference
object—
modelType
string—
optimalTrialIds
array—
remoteModelInfo
object—
trainingRuns
array—
transformColumns
array—
{
  "bestTrialId": "",
  "creationTime": "",
  "defaultTrialId": "",
  "description": "",
  "encryptionConfiguration": {},
  "etag": "",
  "expirationTime": "",
  "featureColumns": [],
  "friendlyName": "",
  "hparamSearchSpaces": {},
  "hparamTrials": [],
  "labelColumns": [],
  "labels": {},
  "lastModifiedTime": "",
  "location": "",
  "modelReference": {},
  "modelType": "",
  "optimalTrialIds": [],
  "remoteModelInfo": {},
  "trainingRuns": [],
  "transformColumns": []
}

See Update Model run in a workflow.

In a technical demo we add the Google BigQuery connection, drop the node on the canvas and let Workflow Health pre-flight it before the first real run.