This PR adds `DeleteRange` to `ethdb.KeyValueWriter`. While range
deletion using an iterator can be really slow, `DeleteRange` is natively
supported by pebble and apparently runs in O(1) time (typically 20-30ms
in my tests for removing hundreds of millions of keys and gigabytes of
data). For leveldb and memorydb an iterator based fallback is
implemented. Note that since the iterator method can be slow and a
database function should not unexpectedly block for a very long time,
the number of deleted keys is limited at 10000 which should ensure that
it does not block for more than a second. ErrTooManyKeys is returned if
the range has only been partially deleted. In this case the caller can
repeat the call until it finally succeeds.
Changelog: https://golangci-lint.run/product/changelog/#1610
Removes `exportloopref` (no longer needed), replaces it with
`copyloopvar` which is basically the opposite.
Also adds:
- `durationcheck`
- `gocheckcompilerdirectives`
- `reassign`
- `mirror`
- `tenv`
---------
Co-authored-by: Marius van der Wijden <m.vanderwijden@live.de>
This pull request removes the `fsync` of index files in freezer.ModifyAncients function for
performance gain.
Originally, fsync is added after each freezer write operation to ensure
the written data is truly transferred into disk. Unfortunately, it turns
out `fsync` can be relatively slow, especially on
macOS (see https://github.com/ethereum/go-ethereum/issues/28754 for more
information).
In this pull request, fsync for index file is removed as it turns out
index file can be recovered even after a unclean shutdown. But fsync for data file is still kept, as
we have no meaningful way to validate the data correctness after unclean shutdown.
---
**But why do we need the `fsync` in the first place?**
As it's necessary for freezer to survive/recover after the machine crash
(e.g. power failure).
In linux, whenever the file write is performed, the file metadata update
and data update are
not necessarily performed at the same time. Typically, the metadata will
be flushed/journalled
ahead of the file data. Therefore, we make the pessimistic assumption
that the file is first
extended with invalid "garbage" data (normally zero bytes) and that
afterwards the correct
data replaces the garbage.
We have observed that the index file of the freezer often contain
garbage entry with zero value
(filenumber = 0, offset = 0) after a machine power failure. It proves
that the index file is extended
without the data being flushed. And this corruption can destroy the
whole freezer data eventually.
Performing fsync after each write operation can reduce the time window
for data to be transferred
to the disk and ensure the correctness of the data in the disk to the
greatest extent.
---
**How can we maintain this guarantee without relying on fsync?**
Because the items in the index file are strictly in order, we can
leverage this characteristic to
detect the corruption and truncate them when freezer is opened.
Specifically these validation
rules are performed for each index file:
For two consecutive index items:
- If their file numbers are the same, then the offset of the latter one
MUST not be less than that of the former.
- If the file number of the latter one is equal to that of the former
plus one, then the offset of the latter one MUST not be 0.
- If their file numbers are not equal, and the latter's file number is
not equal to the former plus 1, the latter one is valid
And also, for the first non-head item, it must refer to the earliest
data file, or the next file if the
earliest file is not sufficient to place the first item(very special
case, only theoretical possible
in tests)
With these validation rules, we can detect the invalid item in index
file with greatest possibility.
---
But unfortunately, these scenarios are not covered and could still lead
to a freezer corruption if it occurs:
**All items in index file are in zero value**
It's impossible to distinguish if they are truly zero (e.g. all the data
entries maintained in freezer
are zero size) or just the garbage left by OS. In this case, these index
items will be kept by truncating
the entire data file, namely the freezer is corrupted.
However, we can consider that the probability of this situation
occurring is quite low, and even
if it occurs, the freezer can be considered to be close to an empty
state. Rerun the state sync
should be acceptable.
**Index file is integral while relative data file is corrupted**
It might be possible the data file is corrupted whose file size is
extended correctly with garbage
filled (e.g. zero bytes). In this case, it's impossible to detect the
corruption by index validation.
We can either choose to `fsync` the data file, or blindly believe that
if index file is integral then
the data file could be integral with very high chance. In this pull
request, the first option is taken.
* cmd/geth, ethdb/pebble: polish method naming and code comment
* implement db stat for pebble
* cmd, core, ethdb, internal, trie: remove db property selector
* cmd, core, ethdb: fix function description
---------
Co-authored-by: prpeh <prpeh@proton.me>
Co-authored-by: Gary Rong <garyrong0905@gmail.com>
* all: refactor so NewBlock(..) and WithBody(..) take a types.Body
* core: fixup comments, remove txs != receipts panic
* core/types: add empty withdrawls to body if len == 0
Package filepath implements utility routines for manipulating filename paths in a way compatible with the target operating system-defined file paths.
Package path implements utility routines for manipulating slash-separated paths.
The path package should only be used for paths separated by forward slashes, such as the paths in URLs
This change simplifies the logic for indexing transactions and enhances the UX when transaction is not found by returning more information to users.
Transaction indexing is now considered as a part of the initial sync, and `eth.syncing` will thus be `true` if transaction indexing is not yet finished. API consumers can use the syncing status to determine if the node is ready to serve users.
This pull request improves the condition to check if path state scheme is in use.
Originally, root node presence was used as the indicator if path scheme is used or not. However due to fact that root node will be deleted during the initial snap sync, this condition is no longer useful.
If PersistentStateID is present, it shows that we've already configured for path scheme.
Original problem was caused by #28595, where we made it so that as soon as we start to sync, the root of the disk layer is deleted. That is not wrong per se, but another part of the code uses the "presence of the root" as an init-check for the pathdb. And, since the init-check now failed, the code tried to re-initialize it which failed since a sync was already ongoing.
The total impact being: after a state-sync has begun, if the node for some reason is is shut down, it will refuse to start up again, with the error message: `Fatal: Failed to register the Ethereum service: waiting for sync.`.
This change also modifies how `geth removedb` works, so that the user is prompted for two things: `state data` and `ancient chain`. The former includes both the chaindb aswell as any state history stored in ancients.
---------
Co-authored-by: Martin HS <martin@swende.se>
Here we update the eth and snap protocol test suites with a new test chain,
created by the hivechain tool. The new test chain uses proof-of-stake. As such,
tests using PoW block propagation in the eth protocol are removed. The test suite
now connects to the node under test using the engine API in order to make it
accept transactions.
The snap protocol test suite has been rewritten to output test descriptions and
log requests more verbosely.
---------
Co-authored-by: Felix Lange <fjl@twurst.com>
This is the fix to issue #27483. A new hiddenBytes() is introduced to calculate the byte size of hidden items in the freezer table. When reporting the size of the freezer table, size of the hidden items will be subtracted from the total size.
---------
Co-authored-by: Yifan <Yifan Wang>
Co-authored-by: Gary Rong <garyrong0905@gmail.com>
This change implements CommitteeChain which is a key component of the beacon light client. It is a passive data structure that can validate, hold and update a chain of beacon light sync committees and updates, starting from a checkpoint that proves the starting committee through a beacon block hash, header and corresponding state. Once synced to the current sync period, CommitteeChain can also validate signed beacon headers.
This adds warning logs when the read does not match the expected count.
We can also remove the size limit since the function documentation explicitly states
that callers should limit the count.
* cmd, core: resolve scheme from a read-write database
* cmd, core, eth: move the scheme check in the ethereum constructor
* cmd/geth: dump should in ro mode
* cmd: reverts
