This allows for a 1000 different persistent operations to proceed
concurrently. Now that we are batching operations at the db level, the
average number of outstanding requests will be higher since the commit
latency has increased. To compensate, we allow for more outstanding
requests to keep the router busy while batches are constructed.
This allows for a 1000 different validation operations to proceed
concurrently. Now that we are batching operations at the db level, the
average number of outstanding requests will be higher since the commit
latency has increased. To compensate, we allow for more outstanding
requests to keep the gossiper busy while batches are constructed.
To finally end the discussion what Dockerfile should be used for what
and whether we should build from local source or check out from git, we
place both Dockerfiles next to each other and explicitly document their
purpose.
Since it turned out borking channels on every received error could cause
us to bork channels in case of a sync error with C-lightning, we revert
this for now.
Now that inputs might have accompanied outputs to be added to the sweep
tx, we add them to the sweep transaction first, and account for it when
calculating the change amount.
If inputs require outputs to be added at the same time, this will
change the weight and amount calculations, so we must account for that.
We wait to get the weight estimator for the sweep tx until needed,
such that we can easily choose whether to include a change output or not
in the estimate. This is needed for the case where the second level
transactions can pay for their own fee, so no change output is needed.
Currently trying to run etcd tests on darwin will cause the timeouts to
improperly select timeouts_darwin.go which are stricter than
timeouts_etcd.go. We fix this by always defaulting to timeouts_etcd.go
no matter the platform, and only falling back to timeouts_darwin.go if
the kvdb_etcd tag is not present.
In some tests we moved channeld.db to a temp location in order to
"time travel". This commit extends the existing semantics by moving all
files, including embedded etcd db too besides the channeld.db file.
We add a GitHub workflow that is triggered whenever a new version tag is
pushed. It will trigger a docker image build for that version and
automatically push it to the specified repo.
