Create Job

dataflow.create_job
ActionGoogle Cloudconnection required

Calls dataflow v1b3 POST /v1b3/projects/{projectId}/locations/{location}/jobs.

Creates a Dataflow job.

Connection

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

Configuration

2 fields, 1 required. A dotted path is a nested object and name[] an array of objects — the editor renders the same tree.

FieldTypeRequiredDefaultConstraintsExample
location
Location or region; taken from the connection when unset.
stringNo———
body
The Job resource, as the API defines it.
objectYes———

Output

One shape.

result

Extra keys beyond the ones listed can appear.

FieldTypeExample
clientRequestId
string—
createTime
string—
createdFromSnapshotId
string—
currentState
string—
currentStateTime
string—
environment
object—
executionInfo
object—
id
string—
jobMetadata
object—
labels
object—
location
string—
name
string—
pausable
boolean—
pipelineDescription
object—
projectId
string—
replaceJobId
string—
replacedByJobId
string—
requestedState
string—
runtimeUpdatableParams
object—
satisfiesPzi
boolean—
satisfiesPzs
boolean—
serviceResources
object—
stageStates
array—
startTime
string—
steps
array—
stepsLocation
string—
tempFiles
array—
transformNameMapping
object—
type
string—
{
  "clientRequestId": "",
  "createTime": "",
  "createdFromSnapshotId": "",
  "currentState": "",
  "currentStateTime": "",
  "environment": {},
  "executionInfo": {},
  "id": "",
  "jobMetadata": {},
  "labels": {},
  "location": "",
  "name": "",
  "pausable": false,
  "pipelineDescription": {},
  "projectId": "",
  "replaceJobId": "",
  "replacedByJobId": "",
  "requestedState": "",
  "runtimeUpdatableParams": {},
  "satisfiesPzi": false,
  "satisfiesPzs": false,
  "serviceResources": {},
  "stageStates": [],
  "startTime": "",
  "steps": [],
  "stepsLocation": "",
  "tempFiles": [],
  "transformNameMapping": {},
  "type": ""
}

See Create Job run in a workflow.

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