doc/source/cluster/running-applications/job-submission/rest.rst
.. _ray-job-rest-api:
Ray Jobs REST API ^^^^^^^^^^^^^^^^^
Under the hood, both the Python SDK and the CLI make HTTP calls to the job server running on the Ray head node. You can also directly send requests to the corresponding endpoints via HTTP if needed:
Continue on for examples, or jump to the :ref:OpenAPI specification <ray-job-rest-api-spec>.
Submit Job
.. code-block:: python
import requests
import json
import time
resp = requests.post(
"http://127.0.0.1:8265/api/jobs/", # Don't forget the trailing slash!
json={
"entrypoint": "echo hello",
"runtime_env": {},
"job_id": None,
"metadata": {"job_submission_id": "123"}
}
)
rst = json.loads(resp.text)
job_id = rst["job_id"]
print(job_id)
Query and poll for Job status
.. code-block:: python
start = time.time()
while time.time() - start <= 10:
resp = requests.get(
f"http://127.0.0.1:8265/api/jobs/{job_id}"
)
rst = json.loads(resp.text)
status = rst["status"]
print(f"status: {status}")
if status in {JobStatus.SUCCEEDED, JobStatus.STOPPED, JobStatus.FAILED}:
break
time.sleep(1)
Query for logs
.. code-block:: python
resp = requests.get(
f"http://127.0.0.1:8265/api/jobs/{job_id}/logs"
)
rst = json.loads(resp.text)
logs = rst["logs"]
print(logs)
List all jobs
.. code-block:: python
resp = requests.get(
"http://127.0.0.1:8265/api/jobs/"
)
print(resp.json())
# {"job_id": {"metadata": ..., "status": ..., "message": ...}, ...}
Stop a Job
.. code-block:: python
import json
import time
import requests
resp = requests.post(
"http://127.0.0.1:8265/api/jobs/{job_or_submission_id}/stop",
)
rst = json.loads(resp.text)
json = rst.json()
stopped = json["stopped"]
print(stopped)
.. _ray-job-rest-api-spec:
We provide an OpenAPI specification for the Ray Job API. You can use this to generate client libraries for other languages.
View the Ray Jobs REST API OpenAPI documentation <api.html>_.