distributed.worker - WARNING - Could not find data

[TonyHuBD]

Code Sample, a copy-pastable example to reproduce your bug.

feature_matrix, feature_defs = ft.dfs(
    entityset=es, 
    target_dataframe_name="acc",
    agg_primitives=["count", "sum"],
    trans_primitives=[ "MultiplyNumericBoolean"],
    cutoff_time=cutoff_times,
    cutoff_time_in_index=True,
    training_window="24 hour",
    max_depth=2,
    verbose=True,
    n_jobs = 36
    
)

Warning message

2024-05-18 18:25:09,703 - distributed.worker - WARNING - Could not find da ta: {'bytes-e7e617a37c90e401634a701acdeac78d': ['tcp://127.0.0.1:41237', ' tcp://127.0.0.1:43061', 'tcp://127.0.0.1:46849', 'tcp://127.0.0.1:40099', 'tcp://127.0.0.1:46353']} on workers: [] (who_has: {'EntitySet-878e4a0191d 9aef3e784de699c988216': ['tcp://127.0.0.1:41237', 'tcp://127.0.0.1:43061', 'tcp://127.0.0.1:46493', 'tcp://127.0.0.1:40099', 'tcp://127.0.0.1:46353' ], 'bytes-e7e617a37c90e401634a701acdeac78d': ['tcp://127.0.0.1:41237', 'tc p://127.0.0.1:43061', 'tcp://127.0.0.1:46849', 'tcp://127.0.0.1:40099', 't cp://127.0.0.1:46353']}) 2024-05-18 18:25:09,704 - distributed.scheduler - WARNING - Worker tcp://1 27.0.0.1:45941 failed to acquire keys: {'bytes-e7e617a37c90e401634a701acde ac78d': ('tcp://127.0.0.1:41237', 'tcp://127.0.0.1:43061', 'tcp://127.0.0. 1:46849', 'tcp://127.0.0.1:40099', 'tcp://127.0.0.1:46353')} 2024-05-18 18:28:00,306 - distributed.worker - WARNING - Could not find da ta: {'bytes-e7e617a37c90e401634a701acdeac78d': ['tcp://127.0.0.1:45941', ' tcp://127.0.0.1:41237', 'tcp://127.0.0.1:46849', 'tcp://127.0.0.1:46353']} on workers: [] (who_has: {'bytes-e7e617a37c90e401634a701acdeac78d': ['tcp ://127.0.0.1:45941', 'tcp://127.0.0.1:41237', 'tcp://127.0.0.1:46849', 'tc p://127.0.0.1:46353']})

I don't know why. I can't get the result when I use n_jobs.