Hardcoding 'spark-submit' as cmd[0] in build_spark_submit_command
breaks for hosts where:
- both Spark 1.x and 2.x/3.x are installed and 'spark-submit' resolves
to the wrong one (use 'spark2-submit' or 'spark3-submit' explicitly)
- the user wants to launch via the PySpark entrypoint ('pyspark')
- a custom wrapper script sits on PATH (e.g. a credentials-injecting
'spark-submit-wrapper')
New env var SPARK_EXECUTOR_SPARK_SUBMIT_BIN. Default is 'spark-submit'
(preserves the current behavior for everyone). Override in .env /
docker-compose.yml to change.
common/config.py:
- new Settings.spark_submit_bin field
- env-var resolution in from_env() with default 'spark-submit'
- included in reload() so tests work
spark_executor/core/spark_submit.py:
- cmd[0] reads settings.spark_submit_bin (was hardcoded 'spark-submit')
.env.example: new section with the override and example values.
docker-compose.yml: forwards the var with the standard 'spark-submit'
default.
Tests: 2 new (settings.spark_submit_bin='spark2-submit', ='pyspark')
plus existing tests updated to use the settings-restore fixture so
mutations don't leak between tests.
165/163 still pass.
- common/logging.py: improve format to timestamp|LEVEL|module:func:line - message
- core/ layer: DEBUG log every subprocess invocation (cmd, rc, byte counts),
JSON load/dump events, parsed application_id. ERROR log on failures.
- tools/ layer: DEBUG log every public tool entry with key parameters,
INFO log on business outcomes (saved/submitted/killed/...).
- New tests/unit/test_logging.py: capture loguru output via in-memory sink
and assert DEBUG + INFO messages are emitted for representative flows.
Claude