This function caused spurious "WrongVersion" errors, because the match
pattern in the first arm was non-exhaustive, but the fallthrough match
arm was present and assumed it would only be reached if the version was
incorrect.
This commit cleans up the implemenation, splits out the error variants,
and renames the check to be more precise.
To avoid this kind of bug in the future, two guidelines are useful:
1. Avoid fallthrough cases that circumvent non-exhaustive match checks;
2. Avoid nested conditionals, preferring a "straight-line" sequence of
match arm => result pairs rather than nested matches or matches with
conditionals inside.
The derived Debug impl just shows u8s as numbers, which isn't what we
want. There are basically two reasonable options here:
1. Hex-encoded bytes
2. Escaped ASCII
I picked (2) because a lot of coinbase data has ascii text in it.
The BlockVerifier constructed a tracing span and manually entered it
inside of an async block. Manually entering spans inside async blocks
can cause problems where the span might not be entered and exited
correctly as the resulting future is polled. Instead, using the
.instrument creates a wrapper future that handles the bookkeeping.
I changed the span name and contents to be consistent with the spans in
the checkpoint verifier.
Here the span is added to the body of the `Service::call`
implementation, not to the futures it returns, because the state service
does all of the work synchronously in `call` rather than in the futures
it returns.
The service is skipped as a span field. We could either include or
exclude the request itself. It would be useful, but the request body
can be very large. Instead, we make two spans, one at info level and
one at trace level, and filter that way.
The metrics code becomes much simpler because the current version of the
metrics crate builds its own single-threaded runtime on a dedicated worker
thread, so no dependency on the main Zebra Tokio runtime is required.
This change is mostly mechanical, with the exception of the changes to the
`tower-batch` middleware. This middleware was adapted from `tower::buffer`,
and the `tower::buffer` code was changed to implement its own bounded queue,
because Tokio 0.3 removed the `mpsc::Sender::poll_send` method. See
ddc64e8d4d
for more context on the Tower changes. To match Tower as closely as possible
in order to be able to upstream `tower-batch`, those changes are copied from
`tower::Buffer` to `tower-batch`.
Some systems have a very small /dev/shm, for example, see:
https://github.com/docker-library/postgres/issues/416
So we should just use the temporary directory on all operating systems.
Also:
* use TempDir to generate the temporary path
* delete the code that we copied from sled
* prefix the temporary path with the state version and network
Per https://zips.z.cash/zip-0251, nodes compatible with Canopy
activation on mainnet MUST advertise protocol version 170013 or later.
Once Canopy activates on testnet or mainnet, Canopy nodes SHOULD reject
new connections from pre-Canopy nodes, so this also increases the
minimum version.
## Motivation
Prior to this PR we've been using `sled` as our database for storing persistent chain data on the disk between boots. We picked sled over rocksdb to minimize our c++ dependencies despite it being a less mature codebase. The theory was if it worked well enough we'd prefer to have a pure rust codebase, but if we ever ran into problems we knew we could easily swap it out with rocksdb.
Well, we ran into problems. Sled's memory usage was particularly high, and it seemed to be leaking memory. On top of all that, the performance for writes was pretty poor, causing us to become bottle-necked on sled instead of the network.
## Solution
This PR replaces `sled` with `rocksdb`. We've seen a 10x improvement in memory usage out of the box, no more leaking, and much better write performance. With this change writing chain data to disk is no longer a limiting factor in how quickly we can sync the chain.
The code in this pull request has:
- [x] Documentation Comments
- [x] Unit Tests and Property Tests
## Review
@hdevalence
This helps prevent overloading the network with too many concurrent
block requests. On a fast network, we're likely to still have enough
room to saturate our bandwidth. In the worst case, with 2MB blocks,
downloading 50 blocks concurrently is 100MB of queued downloads. If we
need to download this in 20 seconds to avoid peer connection timeouts,
the implied worst-case minimum speed is 5MB/s. In practice, this
minimum speed will likely be much lower.
Henry de Valence
Deirdre Connolly
teor
Jane Lusby
Jane Lusby
dependabot[bot]