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

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# nimbus-eth1
Core db update storage root management for sub tries (#1964) * Aristo: Re-phrase `LayerDelta` and `LayerFinal` as object references why: Avoids copying in some cases * Fix copyright header * Aristo: Verify `leafTie.root` function argument for `merge()` proc why: Zero root will lead to inconsistent DB entry * Aristo: Update failure condition for hash labels compiler `hashify()` why: Node need not be rejected as long as links are on the schedule. In that case, `redo[]` is to become `wff.base[]` at a later stage. This amends an earlier fix, part of #1952 by also testing against the target nodes of the `wff.base[]` sets. * Aristo: Add storage root glue record to `hashify()` schedule why: An account leaf node might refer to a non-resolvable storage root ID. Storage root node chains will end up at the storage root. So the link `storage-root->account-leaf` needs an extra item in the schedule. * Aristo: fix error code returned by `fetchPayload()` details: Final error code is implied by the error code form the `hikeUp()` function. * CoreDb: Discard `createOk` argument in API `getRoot()` function why: Not needed for the legacy DB. For the `Arsto` DB, a lazy approach is implemented where a stprage root node is created on-the-fly. * CoreDb: Prevent `$$` logging in some cases why: Logging the function `$$` is not useful when it is used for internal use, i.e. retrieving an an error text for logging. * CoreDb: Add `tryHashFn()` to API for pretty printing why: Pretty printing must not change the hashification status for the `Aristo` DB. So there is an independent API wrapper for getting the node hash which never updated the hashes. * CoreDb: Discard `update` argument in API `hash()` function why: When calling the API function `hash()`, the latest state is always wanted. For a version that uses the current state as-is without checking, the function `tryHash()` was added to the backend. * CoreDb: Update opaque vertex ID objects for the `Aristo` backend why: For `Aristo`, vID objects encapsulate a numeric `VertexID` referencing a vertex (rather than a node hash as used on the legacy backend.) For storage sub-tries, there might be no initial vertex known when the descriptor is created. So opaque vertex ID objects are supported without a valid `VertexID` which will be initalised on-the-fly when the first item is merged. * CoreDb: Add pretty printer for opaque vertex ID objects * Cosmetics, printing profiling data * CoreDb: Fix segfault in `Aristo` backend when creating MPT descriptor why: Missing initialisation error * CoreDb: Allow MPT to inherit shared context on `Aristo` backend why: Creates descriptors with different storage roots for the same shared `Aristo` DB descriptor. * Cosmetics, update diagnostic message items for `Aristo` backend * Fix Copyright year
2024-01-11 19:11:38 +00:00
# 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 -- Patricia Trie Merkleisation
## ========================================
##
## For the current state of the `Patricia Trie`, keys (equivalent to hashes)
## are associated with the vertex IDs. Existing key associations are checked
## (i.e. recalculated and compared) unless the ID is locked. In the latter
## case, the key is assumed to be correct without checking.
##
## The folllowing properties are required from the top layer cache.
##
## * All recently (i.e. not saved to backend) added entries must have an
## `lTab[]` entry with `(root-vertex,path,leaf-vertex-ID)`.
##
## * All recently (i.e. not saved to backend) deleted entries must have an
## `lTab[]` entry with `(root-vertex,path,VertexID(0))`.
##
## * All vertices where the key (aka Merkle hash) has changed must have a
## top layer cache `kMap[]` entry `(vertex-ID,VOID_HASH_LABEL)` indicating
## that there is no key available for this vertex. This also applies for
## backend verices where the key has changed while the structural logic
## did not change.
##
## The association algorithm is an optimised version of:
##
## * For all leaf vertices which have all child links on the top layer cache
## where the node keys (aka hashes) can be compiled, proceed with the parent
## vertex. Note that a top layer cache vertex can only have a key on the top
## top layer cache (whereas a bachend b
##
## Apparently, keys (aka hashes) can be compiled for leaf vertices. The same
## holds for follow up vertices where the child keys were available, alteady.
## This process stops when a vertex has children on the backend or children
## lead to a chain not sorted, yet.
##
## * For the remaining vertex chains (where the process stopped) up to the root
## vertex, set up a width-first schedule starting at the vertex where the
## previous chain broke off and follow up to the root vertex.
##
## * Follow the width-first schedule fo labelling all vertices with a hash key.
##
## Note that there are some tweaks for `proof` nodes with incomplete tries and
## handling of possible stray vertices on the top layer cache left over from
## deletion processes.
##
{.push raises: [].}
import
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
std/[sequtils, sets, tables],
chronicles,
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
results,
stew/byteutils,
"."/[aristo_desc, aristo_get, aristo_hike, aristo_layers, aristo_serialise,
aristo_utils]
type
FollowUpVid = object
## Link item: VertexID -> VertexID
root: VertexID ## Root vertex, might be void unless known
toVid: VertexID ## Valid next/follow up vertex
BackVidTab =
Table[VertexID,FollowUpVid]
WidthFirstForest = object
## Collected width first search trees
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
completed: HashSet[VertexID] ## Top level, root targets reached
root: HashSet[VertexID] ## Top level, root targets not reached yet
pool: BackVidTab ## Upper links pool
base: BackVidTab ## Width-first leaf level links
const
SubTreeSearchDepthMax = 64
logScope:
topics = "aristo-hashify"
# ------------------------------------------------------------------------------
# Private helpers
# ------------------------------------------------------------------------------
template logTxt(info: static[string]): static[string] =
"Hashify " & info
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
func getOrVoid(tab: BackVidTab; vid: VertexID): FollowUpVid =
tab.getOrDefault(vid, FollowUpVid())
func isValid(w: FollowUpVid): bool =
w.toVid.isValid
func contains(wff: WidthFirstForest; vid: VertexID): bool =
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
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vid in wff.base or vid in wff.pool or vid in wff.root or vid in wff.completed
# ------------------------------------------------------------------------------
# Private functions
# ------------------------------------------------------------------------------
proc cloudConnect(
cloud: HashSet[VertexID]; # Vertex IDs to start connecting from
db: AristoDbRef; # Database, top layer
target: BackVidTab; # Vertices to arrive to
): tuple[paths: WidthFirstForest, unresolved: HashSet[VertexID]] =
## For each vertex ID from argument `cloud` find a chain of `FollowUpVid`
## type links reaching into argument `target`. The `paths` entry from the
## `result` tuple contains the connections to the `target` argument and the
## `unresolved` entries the IDs left over from `cloud`.
if 0 < cloud.len:
result.unresolved = cloud
var hold = target
while 0 < hold.len:
# Greedily trace back `bottomUp[]` entries for finding parents of
# unresolved vertices from `cloud`
var redo: BackVidTab
for (vid,val) in hold.pairs:
let vtx = db.getVtx vid
if vtx.isValid:
result.paths.pool[vid] = val
# Grab child links
for sub in vtx.subVids:
let w = FollowUpVid(
root: val.root,
toVid: vid)
if sub notin cloud:
redo[sub] = w
else:
result.paths.base[sub] = w # ok, use this
result.unresolved.excl sub
if result.unresolved.len == 0:
return
redo.swap hold
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
proc setNextLink(
wff: var WidthFirstForest; # Search tree to update
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
redo: var BackVidTab; # Temporary `base` list
val: FollowUpVid; # Current vertex value to follow up
) =
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
## Given the follow up argument `vid`, update the `redo[]` argument (an
## optional substitute for the `wff.base[]` list) so that the `redo[]`
## list contains the next `from->to` vertex pair from the `wff.pool[]`
## list.
##
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
## Unless the `redo` argument is passed as `wff.base`, this function
## supports the following construct:
## ::
## while 0 < wff.base.len:
## var redo: BackVidTab
## for (vid,val) in wff.base.pairs:
## ...
## wff.setNextLink(redo, val)
## wff.base.swap redo
##
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
## Otherwise, one would use the function as in
## ::
## wff.base.del vid
## wff.setNextLink(wff.pool, val)
##
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
# Get current `from->to` vertex pair
if val.isValid:
# Find follow up `from->to` vertex pair in `pool`
let nextVal = wff.pool.getOrVoid val.toVid
if nextVal.isValid:
# Make sure that strict hierachial order is kept. If the successor
# is in the temporary `redo[]` base list, move it to the `pool[]`.
if nextVal.toVid in redo:
wff.pool[nextVal.toVid] = redo.getOrVoid nextVal.toVid
redo.del nextVal.toVid
elif val.toVid in redo.values.toSeq.mapIt(it.toVid):
# The follow up vertex ID is already a follow up ID for some
# `from->to` vertex pair in the temporary `redo[]` base list.
return
# Move next `from->to vertex` pair to `redo[]`
wff.pool.del val.toVid
redo[val.toVid] = nextVal
proc updateSchedule(
wff: var WidthFirstForest; # Search tree to update
db: AristoDbRef; # Database, top layer
hike: Hike; # Chain of vertices
) =
## Use vertices from the `hike` argument and link them leaf-to-root in a way
## so so that they can be traversed later in a width-first search.
##
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
let
root = hike.root
var
legInx = 0 # find index of first unresolved vertex
unresolved: seq[VertexID] # vtx links, reason for unresolved vertex
# Find the index `legInx` of the first vertex that could not be compiled as
# node all from the top layer cache keys.
block findlegInx:
Core db update storage root management for sub tries (#1964) * Aristo: Re-phrase `LayerDelta` and `LayerFinal` as object references why: Avoids copying in some cases * Fix copyright header * Aristo: Verify `leafTie.root` function argument for `merge()` proc why: Zero root will lead to inconsistent DB entry * Aristo: Update failure condition for hash labels compiler `hashify()` why: Node need not be rejected as long as links are on the schedule. In that case, `redo[]` is to become `wff.base[]` at a later stage. This amends an earlier fix, part of #1952 by also testing against the target nodes of the `wff.base[]` sets. * Aristo: Add storage root glue record to `hashify()` schedule why: An account leaf node might refer to a non-resolvable storage root ID. Storage root node chains will end up at the storage root. So the link `storage-root->account-leaf` needs an extra item in the schedule. * Aristo: fix error code returned by `fetchPayload()` details: Final error code is implied by the error code form the `hikeUp()` function. * CoreDb: Discard `createOk` argument in API `getRoot()` function why: Not needed for the legacy DB. For the `Arsto` DB, a lazy approach is implemented where a stprage root node is created on-the-fly. * CoreDb: Prevent `$$` logging in some cases why: Logging the function `$$` is not useful when it is used for internal use, i.e. retrieving an an error text for logging. * CoreDb: Add `tryHashFn()` to API for pretty printing why: Pretty printing must not change the hashification status for the `Aristo` DB. So there is an independent API wrapper for getting the node hash which never updated the hashes. * CoreDb: Discard `update` argument in API `hash()` function why: When calling the API function `hash()`, the latest state is always wanted. For a version that uses the current state as-is without checking, the function `tryHash()` was added to the backend. * CoreDb: Update opaque vertex ID objects for the `Aristo` backend why: For `Aristo`, vID objects encapsulate a numeric `VertexID` referencing a vertex (rather than a node hash as used on the legacy backend.) For storage sub-tries, there might be no initial vertex known when the descriptor is created. So opaque vertex ID objects are supported without a valid `VertexID` which will be initalised on-the-fly when the first item is merged. * CoreDb: Add pretty printer for opaque vertex ID objects * Cosmetics, printing profiling data * CoreDb: Fix segfault in `Aristo` backend when creating MPT descriptor why: Missing initialisation error * CoreDb: Allow MPT to inherit shared context on `Aristo` backend why: Creates descriptors with different storage roots for the same shared `Aristo` DB descriptor. * Cosmetics, update diagnostic message items for `Aristo` backend * Fix Copyright year
2024-01-11 19:11:38 +00:00
# Directly set tail vertex key (typically a leaf vertex)
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
let
leaf = hike.legs[^1].wp
node = leaf.vtx.toNode(db, stopEarly=false, beKeyOk=false).valueOr:
# Oops, depends on unresolved storage trie?
legInx = hike.legs.len - 1
unresolved = error
Core db update storage root management for sub tries (#1964) * Aristo: Re-phrase `LayerDelta` and `LayerFinal` as object references why: Avoids copying in some cases * Fix copyright header * Aristo: Verify `leafTie.root` function argument for `merge()` proc why: Zero root will lead to inconsistent DB entry * Aristo: Update failure condition for hash labels compiler `hashify()` why: Node need not be rejected as long as links are on the schedule. In that case, `redo[]` is to become `wff.base[]` at a later stage. This amends an earlier fix, part of #1952 by also testing against the target nodes of the `wff.base[]` sets. * Aristo: Add storage root glue record to `hashify()` schedule why: An account leaf node might refer to a non-resolvable storage root ID. Storage root node chains will end up at the storage root. So the link `storage-root->account-leaf` needs an extra item in the schedule. * Aristo: fix error code returned by `fetchPayload()` details: Final error code is implied by the error code form the `hikeUp()` function. * CoreDb: Discard `createOk` argument in API `getRoot()` function why: Not needed for the legacy DB. For the `Arsto` DB, a lazy approach is implemented where a stprage root node is created on-the-fly. * CoreDb: Prevent `$$` logging in some cases why: Logging the function `$$` is not useful when it is used for internal use, i.e. retrieving an an error text for logging. * CoreDb: Add `tryHashFn()` to API for pretty printing why: Pretty printing must not change the hashification status for the `Aristo` DB. So there is an independent API wrapper for getting the node hash which never updated the hashes. * CoreDb: Discard `update` argument in API `hash()` function why: When calling the API function `hash()`, the latest state is always wanted. For a version that uses the current state as-is without checking, the function `tryHash()` was added to the backend. * CoreDb: Update opaque vertex ID objects for the `Aristo` backend why: For `Aristo`, vID objects encapsulate a numeric `VertexID` referencing a vertex (rather than a node hash as used on the legacy backend.) For storage sub-tries, there might be no initial vertex known when the descriptor is created. So opaque vertex ID objects are supported without a valid `VertexID` which will be initalised on-the-fly when the first item is merged. * CoreDb: Add pretty printer for opaque vertex ID objects * Cosmetics, printing profiling data * CoreDb: Fix segfault in `Aristo` backend when creating MPT descriptor why: Missing initialisation error * CoreDb: Allow MPT to inherit shared context on `Aristo` backend why: Creates descriptors with different storage roots for the same shared `Aristo` DB descriptor. * Cosmetics, update diagnostic message items for `Aristo` backend * Fix Copyright year
2024-01-11 19:11:38 +00:00
if leaf.vtx.vType == Leaf:
let stoRoot = unresolved.toSeq[0]
if stoRoot notin wff.base and
stoRoot notin wff.pool:
wff.root.incl stoRoot
wff.base[stoRoot] = FollowUpVid(
root: stoRoot,
toVid: leaf.vid)
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
break findlegInx
vid = leaf.vid
if not db.layersGetKeyOrVoid(vid).isValid:
db.layersPutLabel(vid, HashLabel(root: root, key: node.digestTo(HashKey)))
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
# Clean up unnecessay leaf node from previous session
wff.base.del vid
wff.setNextLink(wff.pool, wff.base.getOrVoid vid)
# If possible, compute a node from the current vertex with all links
# resolved on the cache layer. If this is not possible, stop here and
# return the list of vertex IDs that could not be resolved (see option
# `stopEarly=false`.)
for n in (hike.legs.len-2).countDown(0):
let vtx = hike.legs[n].wp.vtx
discard vtx.toNode(db, stopEarly=false, beKeyOk=false).valueOr:
legInx = n
unresolved = error
break findlegInx
# All done this `hike`
if db.layersGetKeyOrVoid(root).isValid:
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
wff.root.excl root
wff.completed.incl root
return
# Unresolved root target to reach via width-first search
if root notin wff.completed:
wff.root.incl root
# Current situation:
#
# ..unresolved hash keys.. | ..all set here..
# |
# |
# hike.legs: (leg[0], leg[1], ..leg[legInx], ..)
# | | | |
# | <---- | <----- | +-------+---- \
# | | | |
# | wff.pool[] | +---- | vertices from the
# : | `unresoved` set
# |
# +---- /
# Add unresolved nodes for top level links
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
for u in 1 .. legInx:
let vid = hike.legs[u].wp.vid
# Make sure that `base[]` and `pool[]` are disjunkt, possibly moving
# `base[]` entries to the `pool[]`.
wff.base.del vid
wff.pool[vid] = FollowUpVid(
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
root: root,
toVid: hike.legs[u-1].wp.vid)
# These ones have been resolved, already
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
for u in legInx+1 ..< hike.legs.len:
let vid = hike.legs[u].wp.vid
wff.pool.del vid
wff.base.del vid
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
assert 0 < unresolved.len # debugging, only
let vid = hike.legs[legInx].wp.vid
for sub in unresolved:
# Update request for unresolved sub-links by adding a new tail
# entry (unless registered, already.)
if sub notin wff:
wff.base[sub] = FollowUpVid(
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
root: root,
toVid: vid)
# ------------------------------------------------------------------------------
# Public functions
# ------------------------------------------------------------------------------
proc hashify*(
db: AristoDbRef; # Database, top layer
): Result[HashSet[VertexID],(VertexID,AristoError)] =
## Add keys to the `Patricia Trie` so that it becomes a `Merkle Patricia
## Tree`. If successful, the function returns the keys (aka Merkle hash) of
## the root vertices.
var
deleted = false # Need extra check for orphaned vertices
wff: WidthFirstForest # Leaf-to-root traversal structure
if not db.dirty:
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
return ok wff.completed
for (lky,lfVid) in db.lTab.pairs:
let
rc = lky.hikeUp db
hike = rc.to(Hike)
if not lfVid.isValid:
# Remember that there are left overs from a delete proedure which have
# to be eventually found before starting width-first processing.
deleted = true
if hike.legs.len == 0:
# Ignore left over path from deleted entry.
if not lfVid.isValid:
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
# FIXME: Is there a case for adding unresolved child-to-root links
# to the `wff` schedule?
continue
if rc.isErr:
return err((lfVid,rc.error[1]))
return err((hike.root,HashifyEmptyHike))
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
# Compile width-first forest search schedule
wff.updateSchedule(db, hike)
if deleted:
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
# Update unresolved keys left over after delete operations when overlay
# vertices have been added and there was no `hike` path to capture them.
#
# Considering a list of updated paths to these vertices after deleting
# a `Leaf` vertex is deemed too expensive and more error prone. So it
# is the task to search for unresolved node keys and add glue paths to
# the width-first schedule.
var unresolved: HashSet[VertexID]
for (vid,lbl) in db.layersWalkLabel:
if not lbl.isValid and
vid notin wff:
let rc = db.layersGetVtx vid
if rc.isErr or rc.value.isValid:
unresolved.incl vid
let glue = unresolved.cloudConnect(db, wff.base)
if 0 < glue.unresolved.len:
return err((glue.unresolved.toSeq[0],HashifyNodeUnresolved))
# Add glue items to `wff.base[]` and `wff.pool[]` tables
for (vid,val) in glue.paths.base.pairs:
# Add vid to `wff.base[]` list
wff.base[vid] = val
# Move tail of VertexID chain to `wff.pool[]`
var toVid = val.toVid
while true:
let w = glue.paths.pool.getOrVoid toVid
if not w.isValid:
break
wff.base.del toVid
wff.pool[toVid] = w
toVid = w.toVid
# Traverse width-first schedule and update remaining hashes.
while 0 < wff.base.len:
var redo: BackVidTab
for (vid,val) in wff.base.pairs:
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
let vtx = db.getVtx vid
if not vtx.isValid:
# This might happen when proof nodes (see `snap` protocol) are on
# an incomplete trie where this `vid` has a key but no vertex yet.
# Also, the key (as part of the proof data) must be on the backend
# by the way `leafToRootCrawler()` works. So it is enough to verify
# the key there.
discard db.getKeyBE(vid).valueOr:
return err((vid,HashifyNodeUnresolved))
else:
# Try to convert the vertex to a node. This is possible only if all
# link references have Merkle hash keys, already.
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
let node = vtx.toNode(db, stopEarly=false).valueOr:
# Cannot complete this vertex unless its child node keys are compiled.
# So do this vertex later, i.e. add the vertex to the `pool[]`.
wff.pool[vid] = val
# Add the child vertices to `redo[]` for the schedule `base[]` list.
for w in error:
Core db update storage root management for sub tries (#1964) * Aristo: Re-phrase `LayerDelta` and `LayerFinal` as object references why: Avoids copying in some cases * Fix copyright header * Aristo: Verify `leafTie.root` function argument for `merge()` proc why: Zero root will lead to inconsistent DB entry * Aristo: Update failure condition for hash labels compiler `hashify()` why: Node need not be rejected as long as links are on the schedule. In that case, `redo[]` is to become `wff.base[]` at a later stage. This amends an earlier fix, part of #1952 by also testing against the target nodes of the `wff.base[]` sets. * Aristo: Add storage root glue record to `hashify()` schedule why: An account leaf node might refer to a non-resolvable storage root ID. Storage root node chains will end up at the storage root. So the link `storage-root->account-leaf` needs an extra item in the schedule. * Aristo: fix error code returned by `fetchPayload()` details: Final error code is implied by the error code form the `hikeUp()` function. * CoreDb: Discard `createOk` argument in API `getRoot()` function why: Not needed for the legacy DB. For the `Arsto` DB, a lazy approach is implemented where a stprage root node is created on-the-fly. * CoreDb: Prevent `$$` logging in some cases why: Logging the function `$$` is not useful when it is used for internal use, i.e. retrieving an an error text for logging. * CoreDb: Add `tryHashFn()` to API for pretty printing why: Pretty printing must not change the hashification status for the `Aristo` DB. So there is an independent API wrapper for getting the node hash which never updated the hashes. * CoreDb: Discard `update` argument in API `hash()` function why: When calling the API function `hash()`, the latest state is always wanted. For a version that uses the current state as-is without checking, the function `tryHash()` was added to the backend. * CoreDb: Update opaque vertex ID objects for the `Aristo` backend why: For `Aristo`, vID objects encapsulate a numeric `VertexID` referencing a vertex (rather than a node hash as used on the legacy backend.) For storage sub-tries, there might be no initial vertex known when the descriptor is created. So opaque vertex ID objects are supported without a valid `VertexID` which will be initalised on-the-fly when the first item is merged. * CoreDb: Add pretty printer for opaque vertex ID objects * Cosmetics, printing profiling data * CoreDb: Fix segfault in `Aristo` backend when creating MPT descriptor why: Missing initialisation error * CoreDb: Allow MPT to inherit shared context on `Aristo` backend why: Creates descriptors with different storage roots for the same shared `Aristo` DB descriptor. * Cosmetics, update diagnostic message items for `Aristo` backend * Fix Copyright year
2024-01-11 19:11:38 +00:00
if w notin wff.base and
w notin redo and
w notin wff.base.values.toSeq.mapit(it.toVid):
if db.layersGetVtx(w).isErr:
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
# Ooops, should have been marked for update
return err((w,HashifyNodeUnresolved))
redo[w] = FollowUpVid(root: val.root, toVid: vid)
continue # terminates error clause
# Could resolve => update Merkle hash
let key = node.digestTo(HashKey)
db.layersPutLabel(vid, HashLabel(root: val.root, key: key))
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
# Set follow up link for next round
wff.setNextLink(redo, val)
# Restart `wff.base[]`
wff.base.swap redo
Core db update storage root management for sub tries (#1964) * Aristo: Re-phrase `LayerDelta` and `LayerFinal` as object references why: Avoids copying in some cases * Fix copyright header * Aristo: Verify `leafTie.root` function argument for `merge()` proc why: Zero root will lead to inconsistent DB entry * Aristo: Update failure condition for hash labels compiler `hashify()` why: Node need not be rejected as long as links are on the schedule. In that case, `redo[]` is to become `wff.base[]` at a later stage. This amends an earlier fix, part of #1952 by also testing against the target nodes of the `wff.base[]` sets. * Aristo: Add storage root glue record to `hashify()` schedule why: An account leaf node might refer to a non-resolvable storage root ID. Storage root node chains will end up at the storage root. So the link `storage-root->account-leaf` needs an extra item in the schedule. * Aristo: fix error code returned by `fetchPayload()` details: Final error code is implied by the error code form the `hikeUp()` function. * CoreDb: Discard `createOk` argument in API `getRoot()` function why: Not needed for the legacy DB. For the `Arsto` DB, a lazy approach is implemented where a stprage root node is created on-the-fly. * CoreDb: Prevent `$$` logging in some cases why: Logging the function `$$` is not useful when it is used for internal use, i.e. retrieving an an error text for logging. * CoreDb: Add `tryHashFn()` to API for pretty printing why: Pretty printing must not change the hashification status for the `Aristo` DB. So there is an independent API wrapper for getting the node hash which never updated the hashes. * CoreDb: Discard `update` argument in API `hash()` function why: When calling the API function `hash()`, the latest state is always wanted. For a version that uses the current state as-is without checking, the function `tryHash()` was added to the backend. * CoreDb: Update opaque vertex ID objects for the `Aristo` backend why: For `Aristo`, vID objects encapsulate a numeric `VertexID` referencing a vertex (rather than a node hash as used on the legacy backend.) For storage sub-tries, there might be no initial vertex known when the descriptor is created. So opaque vertex ID objects are supported without a valid `VertexID` which will be initalised on-the-fly when the first item is merged. * CoreDb: Add pretty printer for opaque vertex ID objects * Cosmetics, printing profiling data * CoreDb: Fix segfault in `Aristo` backend when creating MPT descriptor why: Missing initialisation error * CoreDb: Allow MPT to inherit shared context on `Aristo` backend why: Creates descriptors with different storage roots for the same shared `Aristo` DB descriptor. * Cosmetics, update diagnostic message items for `Aristo` backend * Fix Copyright year
2024-01-11 19:11:38 +00:00
# Make sure that all keys exist (actually, that set should be empty anyway)
for vid in wff.pool.keys:
discard db.getKeyRc(vid).valueOr:
return err((vid,HashifyNodeUnresolved))
# Update root nodes
for vid in wff.root - db.pPrf:
# Convert root vertex to a node.
let node = db.getVtx(vid).toNode(db,stopEarly=false).valueOr:
return err((vid,HashifyRootNodeUnresolved))
db.layersPutLabel(vid, HashLabel(root: vid, key: node.digestTo(HashKey)))
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
wff.completed.incl vid
db.top.final.dirty = false
db.top.final.lTab.clear
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
ok wff.completed
# ------------------------------------------------------------------------------
# End
# ------------------------------------------------------------------------------