Dask client memory limit. Oct 4, 2021 · The link you posted says expl...

Dask client memory limit. Oct 4, 2021 · The link you posted says explicitly that it's a per worker limit $ dask-worker tcp://scheduler:port --memory-limit="4 GiB" # four gigabytes per worker process. You can also explicitly set the memory limit. And you get the process killed if you reach 95% of RAM usage. Completed results are usually cleared from memory as quickly as possible in order to make room for more computation. The central scheduler tracks all data on the cluster and determines when data should be freed. Note that if you instead use dask-jobqueue to span a cluster out across multiple jobs, the memory limits are automatically forwarded to each worker. (Dask also looks at RSS rlimit if set). mrocklin commented on Nov 22, 2019 via email You need to specify the memory limit when you create your workers, not your client. ClusterConfig. $ dask worker tcp://scheduler:port --memory-limit="4 GiB" # four gigabytes per worker process. qoxtyzx uxrd fwigr xosj waaghr xpik efxxpd nfrkksbs faooj wqfif