nimbus-eth1/nimbus/db/aristo/aristo_check.nim

114 lines
4.2 KiB
Nim
Raw Normal View History

# nimbus-eth1
# Copyright (c) 2023-2024 Status Research & Development GmbH
# Licensed under either of
# * Apache License, version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or
# http://www.apache.org/licenses/LICENSE-2.0)
# * MIT license ([LICENSE-MIT](LICENSE-MIT) or
# http://opensource.org/licenses/MIT)
# at your option. This file may not be copied, modified, or distributed
# except according to those terms.
## Aristo DB -- Consistency checks
## ===============================
##
{.push raises: [].}
import
std/[algorithm, sequtils, sets, tables],
eth/common,
Aristo db api extensions for use as core db backend (#1754) * Update docu * Update Aristo/Kvt constructor prototype why: Previous version used an `enum` value to indicate what backend is to be used. This was replaced by using the backend object type. * Rewrite `hikeUp()` return code into `Result[Hike,(Hike,AristoError)]` why: Better code maintenance. Previously, the `Hike` object was returned. It had an internal error field so partial success was also available on a failure. This error field has been removed. * Use `openArray[byte]` rather than `Blob` in functions prototypes * Provide synchronised multi instance transactions why: The `CoreDB` object was geared towards the legacy DB which used a single transaction for the key-value backend DB. Different state roots are provided by the backend database, so all instances work directly on the same backend. Aristo db instances have different in-memory mappings (aka different state roots) and the transactions are on top of there mappings. So each instance might run different transactions. Multi instance transactions are a compromise to converge towards the legacy behaviour. The synchronised transactions span over all instances available at the time when base transaction was opened. Instances created later are unaffected. * Provide key-value pair database iterator why: Needed in `CoreDB` for `replicate()` emulation also: Some update of internal code * Extend API (i.e. prototype variants) why: Needed for `CoreDB` geared towards the legacy backend which has a more basic API than Aristo.
2023-09-15 15:23:53 +00:00
stew/interval_set,
results,
./aristo_walk/persistent,
"."/[aristo_desc, aristo_get, aristo_init, aristo_utils],
./aristo_check/[check_be, check_journal, check_top]
# ------------------------------------------------------------------------------
# Public functions
# ------------------------------------------------------------------------------
proc checkTop*(
db: AristoDbRef; # Database, top layer
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
proofMode = false; # Has proof nodes
): Result[void,(VertexID,AristoError)] =
## Verify that the cache structure is correct as it would be after `merge()`
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
## and `hashify()` operations. Unless `proofMode` is set `true` it would not
## fully check against the backend, which is typically not applicable after
## `delete()` operations.
##
## The following is verified:
##
## * Each `sTab[]` entry has a valid vertex which can be compiled as a node.
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
## If `proofMode` is set `false`, the Merkle hashes are recompiled and must
## match.
##
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
if proofMode:
? db.checkTopProofMode()
else:
? db.checkTopStrict()
db.checkTopCommon()
proc checkBE*(
db: AristoDbRef; # Database, top layer
relax = true; # Not re-compiling hashes if `true`
cache = true; # Also verify against top layer cache
fifos = false; # Also verify cascaded filter fifos
): Result[void,(VertexID,AristoError)] =
## Verify database backend structure. If the argument `relax` is set `false`,
## all necessary Merkle hashes are compiled and verified. If the argument
## `cache` is set `true`, the cache is also checked so that a safe operation
## (like `resolveBackendFilter()`) will leave the backend consistent.
##
## The following is verified:
##
## * Each vertex ID on the structural table can be represented as a Merkle
## patricia Tree node. If `relax` is set `false`, the Merkle hashes are
## all recompiled and must match.
##
## * The set of free vertex IDa as potentally suppliedby the ID generator
## state is disjunct to the set of already used vertex IDs on the database.
## Moreover, the union of both sets is equivalent to the set of positive
## `uint64` numbers.
##
case db.backend.kind:
of BackendMemory:
return MemBackendRef.checkBE(db, cache=cache, relax=relax)
of BackendRocksDB:
return RdbBackendRef.checkBE(db, cache=cache, relax=relax)
of BackendVoid:
return VoidBackendRef.checkBE(db, cache=cache, relax=relax)
proc checkJournal*(
db: AristoDbRef; # Database, top layer
): Result[void,(QueueID,AristoError)] =
## Verify database backend journal.
case db.backend.kind:
of BackendMemory:
return MemBackendRef.checkJournal(db)
of BackendRocksDB:
return RdbBackendRef.checkJournal(db)
of BackendVoid:
return ok() # no journal
proc check*(
db: AristoDbRef; # Database, top layer
relax = false; # Check existing hashes only
cache = true; # Also verify against top layer cache
fifos = true; # Also verify cascaded filter fifos
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
proofMode = false; # Has proof nodes
): Result[void,(VertexID,AristoError)] =
## Shortcut for running `checkTop()` followed by `checkBE()`
Core db aristo hasher profiling and timing improvement (#1938) * Explicitly use shared `Kvt` table on `Ledger` and `Clique` lookup. why: Speeds up lookup time with `Aristo` backend. For writing `Clique` data, the `Companion` model allows to write `Clique` data past the database locked by evm transactions. * Implement `CoreDb` profiling with API tracking why: Chasing time spent per APT procs ... * Implement `Ledger` profiling with API tracking why: Chasing time spent per APT procs ... * Always hashify when commiting or storing why: A dirty cache makes no sense when committing * Make sure that a zero key is created when adding/updating vertices why: This is an error fix mainly for edge cases. A typical error was that the root key got deleted when there were only a few vertices left on the DB. * Need all created and changed vertices zero-keyed on the cache why: A zero key (i.e. empty Merkle hash) indicates that a vertex key needs to be updated. This would not be needed immediately after a merge as there is an actual leaf path on the cache layer. But after subsequent merge and delete operations this information might get blurred. * Re-org hashing algorithm why: Apart from errors, the previous implementation was too slow for two reasons: + some control hashes were calculated for debugging (now all verification is done in `aristo_check` module) + the leaf paths stored on the cache are used to build the labelling (aka hashing) schedule; there paths were accumulated over successive hash sessions although it is clear that all keys were generated, already
2023-12-12 17:47:41 +00:00
? db.checkTop(proofMode = proofMode)
? db.checkBE(relax = relax, cache = cache, fifos = fifos)
if fifos:
let rc = db.checkJournal()
if rc.isErr:
return err((VertexID(0),rc.error[1]))
ok()
# ------------------------------------------------------------------------------
# End
# ------------------------------------------------------------------------------