feat: add spark-submit command builder and runner
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# coding=utf-8
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"""
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@Time :2026/6/24
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@Author :tao.chen
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"""
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import subprocess
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class SparkSubmitError(Exception):
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"""Raised when spark-submit exits with a non-zero return code."""
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def build_spark_submit_command(
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*,
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master: str,
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deploy_mode: str,
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script_path: str,
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queue: str,
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executor_memory: str,
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executor_cores: int,
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num_executors: int,
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spark_conf: dict[str, str] | None = None,
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) -> list[str]:
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cmd = [
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"spark-submit",
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"--master", master,
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"--deploy-mode", deploy_mode,
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"--queue", queue,
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"--executor-memory", executor_memory,
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"--executor-cores", str(executor_cores),
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"--num-executors", str(num_executors),
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]
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for key, value in (spark_conf or {}).items():
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cmd.extend(["--conf", f"{key}={value}"])
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cmd.append(script_path)
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return cmd
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def run_spark_submit(cmd: list[str]) -> "subprocess.CompletedProcess[str]":
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result = subprocess.run(cmd, capture_output=True, text=True, errors="replace")
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if result.returncode != 0:
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raise SparkSubmitError(
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f"spark-submit failed (rc={result.returncode}): {result.stderr}"
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)
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return result
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@@ -0,0 +1,86 @@
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# coding=utf-8
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from unittest.mock import MagicMock, patch
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import pytest
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from spark_executor.core.spark_submit import (
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SparkSubmitError,
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build_spark_submit_command,
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run_spark_submit,
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)
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def test_build_command_uses_provided_master_and_deploy_mode():
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cmd = build_spark_submit_command(
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master="yarn",
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deploy_mode="cluster",
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script_path="/tmp/jobs/job_001.py",
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queue="default",
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executor_memory="4G",
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executor_cores=2,
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num_executors=2,
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)
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assert cmd[:2] == ["spark-submit", "--master"]
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assert "yarn" in cmd
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assert "cluster" in cmd
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assert "--queue" in cmd and "default" in cmd
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assert "--executor-memory" in cmd and "4G" in cmd
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assert "--executor-cores" in cmd and "2" in cmd
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assert "--num-executors" in cmd and "2" in cmd
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assert cmd[-1] == "/tmp/jobs/job_001.py"
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def test_build_command_supports_standalone_master():
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cmd = build_spark_submit_command(
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master="spark://master:7077",
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deploy_mode="client",
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script_path="/tmp/j.py",
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queue="default",
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executor_memory="1G",
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executor_cores=1,
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num_executors=1,
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)
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assert "spark://master:7077" in cmd
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assert "client" in cmd
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def test_build_command_appends_spark_conf_entries():
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cmd = build_spark_submit_command(
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master="yarn",
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deploy_mode="cluster",
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script_path="/tmp/j.py",
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queue="default",
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executor_memory="4G",
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executor_cores=2,
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num_executors=2,
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spark_conf={"spark.sql.shuffle.partitions": "200", "spark.executor.memoryOverhead": "1G"},
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)
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# every k=v is emitted as --conf k=v
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assert "--conf" in cmd
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assert "spark.sql.shuffle.partitions=200" in cmd
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assert "spark.executor.memoryOverhead=1G" in cmd
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# script_path is still last
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assert cmd[-1] == "/tmp/j.py"
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def test_run_spark_submit_returns_completed_process(monkeypatch):
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fake = MagicMock()
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fake.returncode = 0
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fake.stderr = "Submitted application application_1\n"
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with patch("spark_executor.core.spark_submit.subprocess.run", return_value=fake) as m:
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result = run_spark_submit(["spark-submit", "/tmp/x.py"])
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assert result is fake
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m.assert_called_once()
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# capture_output=True and text=True must be set
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kwargs = m.call_args.kwargs
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assert kwargs["capture_output"] is True
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assert kwargs["text"] is True
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def test_run_spark_submit_raises_on_nonzero_return():
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fake = MagicMock()
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fake.returncode = 1
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fake.stderr = "boom"
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with patch("spark_executor.core.spark_submit.subprocess.run", return_value=fake):
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with pytest.raises(SparkSubmitError, match="spark-submit failed"):
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run_spark_submit(["spark-submit", "/tmp/x.py"])
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