【发布时间】:2018-03-10 07:08:39
【问题描述】:
我有一个包含 pandas 和 dask 操作的笔记本。
当我还没有启动客户端时,一切都按预期进行。但是,一旦我启动 dask.distributed 客户端,我就会在运行 pandas 操作的单元格中收到警告,例如pd.read_parquet('my_file')
当我开始工人时,我得到的保姆线的数量。
警告示例:
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.26s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.38s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.38s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.38s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.37s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Scheduler for 1.37s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
distributed.core - WARNING - Event loop was unresponsive in Nanny for 1.36s. This is often caused by long-running GIL-holding functions or moving large chunks of data. This can cause timeouts and instability.
我想知道为什么,以及如何让他们停下来。
【问题讨论】:
标签: dask dask-distributed