Disk Usage Optimization
Customize the configuration settings to lower the disk requirements for your validator node.
Blockchain database tends to grow over time, depending e.g. on block speed and transaction amount. For Glitter-chain, we are talking about close to 100GB of disk usage in first two weeks.
There are few configurations that can be done to reduce the required disk usage quite significantly. Some of these changes take full effect only when you do the configuration and start syncing from start with them in use.
Indexing
If you do not need to query transactions from the specific node, you can
disable indexing. On config.toml
set
indexer = "null"
If you do this on already synced node, the collected index is not purged
automatically, you need to delete it manually. The index is located
under the database directory with name data/tx_index.db/
.
State-sync snapshots
I believe this was disabled by default on Glitter-chain, but listing it in any
case here. On app.toml
set
snapshot-interval = 0
Note that if state-sync was enabled on the network and working properly, it would allow one to sync a new node in few minutes. But this node would not have the history.
Configure pruning
By default every 500th state, and the last 100 states are kept. This consumes a lot of disk space on long run, and can be optimized with following custom configuration:
pruning = "custom"
pruning-keep-recent = "100"
pruning-keep-every = "0"
pruning-interval = "10"
Configuring pruning-keep-recent = "0"
might sound tempting, but this
will risk database corruption if the glitter-chaind
is killed for any reason.
Thus, it is recommended to keep the few latest states.
Logging
By default the logging level is set to info
, and this produces a lot of
logs. This log level might be good when starting up to see that the
node starts syncing properly. However, after you see the syncing is
going smoothly, you can lower the log level to warn
(or error
). On
config.toml
set the following
log_level = "warn"
Also ensure your log rotation is configured properly.