mirror of
https://github.com/vale981/ray
synced 2025-03-09 12:56:46 -04:00
34 lines
3.3 KiB
Text
34 lines
3.3 KiB
Text
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ubuntu@ip-172-31-52-199:~/data_processing_tests$ python -m ray.experimental.shuffle --num-cpus=32 --num-partitions=200 --partition-size=500e6 --object-store-memory=20e9
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Start a new cluster...
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2021-04-15 00:51:14,984 INFO services.py:1269 -- View the Ray dashboard at http://127.0.0.1:8265
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Map Progress.: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [03:26<00:00, 1.03s/it]
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Reduce Progress.: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [03:26<00:00, 1.03s/it]
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--- Aggregate object store stats across all nodes ---
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Plasma memory usage 14401 MiB, 6040 objects, 75.51% full
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Spilled 80722 MiB, 33854 objects, avg write throughput 394 MiB/s
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Restored 79363 MiB, 33284 objects, avg read throughput 4709 MiB/s
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Objects consumed by Ray tasks: 95377 MiB.
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Shuffled 95367 MiB in 208.47784852981567 seconds
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ubuntu@ip-172-31-52-199:~/data_processing_tests$ python -m ray.experimental.shuffle --num-cpus=8 --num-partitions=200 --partition-size=500e6 --object-store-memory=5e9 --num-nodes=4
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Emulating a cluster...
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Num nodes: 4
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Num CPU per node: 8
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Object store memory per node: 5000000000.0
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2021-04-15 01:14:16,310 INFO worker.py:654 -- Connecting to existing Ray cluster at address: 172.31.52.199:6379
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Map Progress.: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [04:08<00:00, 1.24s/it]
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Reduce Progress.: 100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 200/200 [04:08<00:00, 1.24s/it]
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--- Aggregate object store stats across all nodes ---
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Plasma memory usage 3459 MiB, 1451 objects, 18.14% full
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Spilled 91357 MiB, 38314 objects, avg write throughput 371 MiB/s
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Restored 87405 MiB, 36657 objects, avg read throughput 4219 MiB/s
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Objects consumed by Ray tasks: 95377 MiB.
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Shuffled 95367 MiB in 250.11851406097412 seconds
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2021-04-15 01:18:34,141 ERROR worker.py:928 -- print_logs: Connection closed by server.
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2021-04-15 01:18:34,143 ERROR worker.py:1087 -- listen_error_messages_raylet: Connection closed by server.
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2021-04-15 01:18:34,143 ERROR import_thread.py:88 -- ImportThread: Connection closed by server.
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