2.2 KiB
Mining Troubleshooting
Bellman Lockfile
The Bellman lockfile is created to lock a GPU for a process. This bug can occur when this file isn't properly cleaned up:
mining block failed: computing election proof: github.com/filecoin-project/lotus/miner.(*Miner).mineOne
This bug occurs when the storage miner can't acquire the bellman.lock
. To fix
it you need to stop the lotus-storage-miner
and remove /tmp/bellman.lock
.
Your miner is not ready
lotus-storage-miner info
# WARN main lotus-storage-miner/main.go:73 failed to get api endpoint: (/Users/myrmidon/.lotusstorage) %!w(*errors.errorString=&{API not running (no endpoint)}):
If you see this, that means your Lotus Storage Miner isn't ready yet. You need to finish syncing the chain.
Your computer is too slow
CAUTION: block production took longer than the block delay. Your computer may not be fast enough to keep up
If you see this, that means your computer is too slow and your blocks are not included in the chain, and you will not receive any rewards.
Running out of storage
lotus-storage-miner pledge-sector
# No space left on device (os error 28)
If you see this, that means pledge-sector
wrote too much data to $TMPDIR
which by default is the root partition (This is common for Linux setups).
Usually your root partition does not get the largest partition of storage so you
will need to change the environment variable to something else.
GPU not being used
If you suspect that your GPU is not being used, first make sure it is properly
configured as described in the testing configuration page.
Once you've done that (and set the BELLMAN_CUSTOM_GPU
as appropriate if
necessary) you can verify your GPU is being used by running a quick lotus-bench
benchmark.
First, to watch GPU utilization run nvtop
in one terminal, then in a separate
terminal, run:
lotus-bench --sector-size=1024
This process uses a fair amount of GPU, and generally takes ~4 minutes to complete. If you do not see any activity in nvtop from lotus during the entire process, it is likely something is misconfigured with your GPU.