Hi, I’m new to Meltano and am working on a Linear tap. Given that the only available one has installation issues and has not had updates for a few years, I’m trying to fix it in a fork (https://github.com/renesteeman/tap-linear). However, after fixing the installation issues and upgrading the packages, I have gotten stuck on an error for which I don’t know the cause. │ /Users/renesteeman/Desktop/narayan-ai-core/.venv/lib/python3.11/site-packages/meltano/core/block │ │ /extract_load.py:494 in execute │ │ │ │ 491 │ │ async with self._start_blocks(): │ │ 492 │ │ │ await self._link_io() │ │ 493 │ │ │ manager = ELBExecutionManager(self) │ │ ❱ 494 │ │ │ await manager.run() │ │ 495 │ │ │ 496 │ async def run(self) -> None: │ │ 497 │ │ """Run the ELT task.""" │ │ │ │ /Users/renesteeman/Desktop/narayan-ai-core/.venv/lib/python3.11/site-packages/meltano/core/block │ │ /extract_load.py:709 in run │ │ │ │ 706 │ │ any of the blocks exit with a non 0 exit code. │ │ 707 │ │ """ │ │ 708 │ │ await self._wait_for_process_completion(self.elb.head) │ │ ❱ 709 │ │ _check_exit_codes( │ │ 710 │ │ │ self._producer_code, │ │ 711 │ │ │ self._consumer_code, │ │ 712 │ │ │ self._intermediate_codes, │ │ │ │ /Users/renesteeman/Desktop/narayan-ai-core/.venv/lib/python3.11/site-packages/meltano/core/block │ │ /extract_load.py:878 in _check_exit_codes │ │ │ │ 875 │ │ │ │ │ PluginType.LOADERS: consumer_code, │ │ 876 │ │ │ │ }, │ │ 877 │ │ │ ) │ │ ❱ 878 │ │ raise RunnerError("Extractor failed", {PluginType.EXTRACTORS: producer_code}) # │ │ 879 │ │ │ 880 │ if consumer_code: │ │ 881 │ │ raise RunnerError("Loader failed", {PluginType.LOADERS: consumer_code}) # noqa: │ ╰──────────────────────────────────────────────────────────────────────────────────────────────────╯ RunnerError: Extractor failed Any advice on how to debug this?

I definitely find the solution to errors more often to be further up the stack trace with meltano.

yeah the stack traces from Meltano are not helpful when it's an exception from the underly tap/target so you have to keep scrolling up 😕

The next version of Meltano will improve the situation 🙂 https://github.com/meltano/meltano/pull/9521