Hello! I've faced with the error then I try to run

redshift-usage

ingestion:

'[2022-06-17 03:11:32,443] INFO     {datahub.cli.ingest_cli:97} - DataHub CLI version: 0.8.36\n'
           '[2022-06-17 03:11:36,611] INFO     {datahub.cli.ingest_cli:113} - Starting metadata ingestion\n'
           '/usr/local/bin/run_ingest.sh: line 26:   320 Killed                  ( python3 -m datahub ingest -c "$4/$1.yml" )\n',
           "2022-06-17 03:14:45.501901 [exec_id=8ccd646c-fc06-4bfd-a7af-cc622cc5be81] INFO: Failed to execute 'datahub ingest'",
           '2022-06-17 03:14:45.505219 [exec_id=8ccd646c-fc06-4bfd-a7af-cc622cc5be81] INFO: Caught exception EXECUTING '
           'task_id=8ccd646c-fc06-4bfd-a7af-cc622cc5be81, name=RUN_INGEST, stacktrace=Traceback (most recent call last):\n'
           '  File "/usr/local/lib/python3.9/site-packages/acryl/executor/execution/default_executor.py", line 119, in execute_task\n'
           '    self.event_loop.run_until_complete(task_future)\n'
           '  File "/usr/local/lib/python3.9/site-packages/nest_asyncio.py", line 89, in run_until_complete\n'
           '    return f.result()\n'
           '  File "/usr/local/lib/python3.9/asyncio/futures.py", line 201, in result\n'
           '    raise self._exception\n'
           '  File "/usr/local/lib/python3.9/asyncio/tasks.py", line 256, in __step\n'
           '    result = coro.send(None)\n'
           '  File "/usr/local/lib/python3.9/site-packages/acryl/executor/execution/sub_process_ingestion_task.py", line 115, in execute\n'
           '    raise TaskError("Failed to execute \'datahub ingest\'")\n'
           "acryl.executor.execution.task.TaskError: Failed to execute 'datahub ingest'\n"]}
Execution finished with errors.

Duration about 300s. Can anybody suggest what should we do?

It seems to get killed

320 Killed

This usually happens on k8s if your pod runs out of memory

@dazzling-judge-80093 thanks a lot!