Workflows connector that defines the built-in function used to access Dataflow within a workflow.
Explore further
For detailed documentation that includes this code sample, see the following:
Code sample
YAML
# This workflow demonstrates how to use the Cloud Dataflow connector.
# The workflow creates a word count job using a Dataflow public job template
# and uses a Cloud Storage bucket as temporary storage for temp files.
# The bucket resource is deleted after the job completes.
# Expected successful output: "SUCCESS"
-
init
:
assign
:
-
project_id
:
${sys.get_env("GOOGLE_CLOUD_PROJECT_ID")}
-
location
:
"us-central1"
-
zone
:
"us-central1-a"
-
bucket_name
:
"[fill
in
a
bucket
name]"
-
job_name
:
"[fill
in
a
job
name]"
-
input_file
:
"gs://dataflow-samples/shakespeare/kinglear.txt"
-
output_storage_file_prefix
:
${"gs://" + bucket_name + "/counts"}
-
temp_location
:
${"gs://" + bucket_name + "/counts/temp"}
-
template_path
:
"gs://dataflow-templates-us-central1/latest/Word_Count"
-
create_bucket
:
call
:
googleapis.storage.v1.buckets.insert
args
:
project
:
${project_id}
body
:
name
:
${bucket_name}
-
create_job
:
call
:
googleapis.dataflow.v1b3.projects.locations.templates.create
args
:
projectId
:
${project_id}
location
:
${location}
body
:
jobName
:
${job_name}
parameters
:
inputFile
:
${input_file}
output
:
${output_storage_file_prefix}
environment
:
numWorkers
:
1
maxWorkers
:
2
zone
:
${zone}
tempLocation
:
${temp_location}
gcsPath
:
${template_path}
-
delete_bucket_object1
:
call
:
googleapis.storage.v1.objects.delete
args
:
bucket
:
${bucket_name}
object
:
${"counts-00000-of-00003"}
-
delete_bucket_object2
:
call
:
googleapis.storage.v1.objects.delete
args
:
bucket
:
${bucket_name}
object
:
${"counts-00001-of-00003"}
-
delete_bucket_object3
:
call
:
googleapis.storage.v1.objects.delete
args
:
bucket
:
${bucket_name}
object
:
${"counts-00002-of-00003"}
-
delete_bucket
:
call
:
googleapis.storage.v1.buckets.delete
args
:
bucket
:
${bucket_name}
-
the_end
:
return
:
"SUCCESS"
What's next
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