Claude
b3564737f7
yarn_client.py no longer invokes the 'yarn' binary via subprocess; it uses
httpx against /ws/v1/cluster/apps/* endpoints. This means the runtime image
no longer needs the Hadoop client installation — the only YARN-side
dependency left in the container is the config dir consumed by
spark-submit itself.
New model field:
- Job.yarn_rm_url: str | None
- PendingSubmission.yarn_rm_url: str | None (snapshotted at prepare)
prepare_submit_job snapshots Connection.yarn_rm_url into the pending
record (consistent with the existing master/deploy_mode/spark_conf
snapshot pattern); confirm_submit_job copies it onto the Job so
status/logs/kill can use it without re-looking-up the connection.
Resolution order for the RM URL at runtime:
1. Job.yarn_rm_url (preferred — survives connection edits/deletes)
2. Connection.yarn_rm_url fallback (if a future tool is added that
doesn't go through a Job)
3. YARN_RESOURCE_MANAGER_URL env var
Errors:
- YarnConfigError (HTTP 4xx semantics) when URL is missing/malformed
- YarnError for HTTP 4xx/5xx from the RM, network failures, missing
state field, or unparseable log responses
10 new tests in test_yarn_client.py cover the REST surface:
success, 404, 5xx, missing state field, env-var fallback, malformed
URL, log 404 with log-aggregation hint, kill PUT body shape, and
httpx connection-error wrapping.
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
# coding=utf-8
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from datetime import datetime
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from unittest.mock import patch
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from spark_executor.core.job_store import JobStore
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from spark_executor.models import Job
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from spark_executor.tools import status
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def test_get_job_status_returns_state():
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status.store = JobStore()
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status.store.put(
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Job(
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job_id="abc",
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application_id="application_1",
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script_path="/tmp/j.py",
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queue="default",
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submit_time=datetime(2026, 6, 24),
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connection="prod",
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yarn_rm_url="http://rm:8088",
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)
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)
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with patch(
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"spark_executor.tools.status.get_application_status",
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return_value=("RUNNING", "State : RUNNING\n"),
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) as m:
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out = status.get_job_status("abc")
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assert out.application_id == "application_1"
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assert out.state == "RUNNING"
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assert "RUNNING" in out.raw
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# yarn_rm_url is forwarded to the REST client
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assert m.call_args.args == ("application_1", "http://rm:8088")
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def test_get_job_status_raises_for_unknown_job():
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status.store = JobStore()
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import pytest
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with pytest.raises(KeyError):
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status.get_job_status("missing")
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