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No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
# Nimbus
# Copyright (c) 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.
{.used.}
Pre-allocate vids for branches (#2882) Each branch node may have up to 16 sub-items - currently, these are given VertexID based when they are first needed leading to a mostly-random order of vertexid for each subitem. Here, we pre-allocate all 16 vertex ids such that when a branch subitem is filled, it already has a vertexid waiting for it. This brings several important benefits: * subitems are sorted and "close" in their id sequencing - this means that when rocksdb stores them, they are likely to end up in the same data block thus improving read efficiency * because the ids are consequtive, we can store just the starting id and a bitmap representing which subitems are in use - this reduces disk space usage for branches allowing more of them fit into a single disk read, further improving disk read and caching performance - disk usage at block 18M is down from 84 to 78gb! * the in-memory footprint of VertexRef reduced allowing more instances to fit into caches and less memory to be used overall. Because of the increased locality of reference, it turns out that we no longer need to iterate over the entire database to efficiently generate the hash key database because the normal computation is now faster - this significantly benefits "live" chain processing as well where each dirtied key must be accompanied by a read of all branch subitems next to it - most of the performance benefit in this branch comes from this locality-of-reference improvement. On a sample resync, there's already ~20% improvement with later blocks seeing increasing benefit (because the trie is deeper in later blocks leading to more benefit from branch read perf improvements) ``` blocks: 18729664, baseline: 190h43m49s, contender: 153h59m0s Time (total): -36h44m48s, -19.27% ``` Note: clients need to be resynced as the PR changes the on-disk format R.I.P. little bloom filter - your life in the repo was short but valuable
2024-12-04 11:42:04 +01:00
import unittest2, std/sequtils, ../../nimbus/db/aristo/aristo_blobify
No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
suite "Aristo blobify":
test "VertexRef roundtrip":
let
Pre-allocate vids for branches (#2882) Each branch node may have up to 16 sub-items - currently, these are given VertexID based when they are first needed leading to a mostly-random order of vertexid for each subitem. Here, we pre-allocate all 16 vertex ids such that when a branch subitem is filled, it already has a vertexid waiting for it. This brings several important benefits: * subitems are sorted and "close" in their id sequencing - this means that when rocksdb stores them, they are likely to end up in the same data block thus improving read efficiency * because the ids are consequtive, we can store just the starting id and a bitmap representing which subitems are in use - this reduces disk space usage for branches allowing more of them fit into a single disk read, further improving disk read and caching performance - disk usage at block 18M is down from 84 to 78gb! * the in-memory footprint of VertexRef reduced allowing more instances to fit into caches and less memory to be used overall. Because of the increased locality of reference, it turns out that we no longer need to iterate over the entire database to efficiently generate the hash key database because the normal computation is now faster - this significantly benefits "live" chain processing as well where each dirtied key must be accompanied by a read of all branch subitems next to it - most of the performance benefit in this branch comes from this locality-of-reference improvement. On a sample resync, there's already ~20% improvement with later blocks seeing increasing benefit (because the trie is deeper in later blocks leading to more benefit from branch read perf improvements) ``` blocks: 18729664, baseline: 190h43m49s, contender: 153h59m0s Time (total): -36h44m48s, -19.27% ``` Note: clients need to be resynced as the PR changes the on-disk format R.I.P. little bloom filter - your life in the repo was short but valuable
2024-12-04 11:42:04 +01:00
leafAccount = VertexRef(
vType: Leaf,
pfx: NibblesBuf.nibble(1),
lData: LeafPayload(
pType: AccountData, account: AristoAccount(nonce: 100, balance: 123.u256)
),
)
leafStoData = VertexRef(
vType: Leaf,
pfx: NibblesBuf.nibble(3),
lData: LeafPayload(pType: StoData, stoData: 42.u256),
No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
)
Pre-allocate vids for branches (#2882) Each branch node may have up to 16 sub-items - currently, these are given VertexID based when they are first needed leading to a mostly-random order of vertexid for each subitem. Here, we pre-allocate all 16 vertex ids such that when a branch subitem is filled, it already has a vertexid waiting for it. This brings several important benefits: * subitems are sorted and "close" in their id sequencing - this means that when rocksdb stores them, they are likely to end up in the same data block thus improving read efficiency * because the ids are consequtive, we can store just the starting id and a bitmap representing which subitems are in use - this reduces disk space usage for branches allowing more of them fit into a single disk read, further improving disk read and caching performance - disk usage at block 18M is down from 84 to 78gb! * the in-memory footprint of VertexRef reduced allowing more instances to fit into caches and less memory to be used overall. Because of the increased locality of reference, it turns out that we no longer need to iterate over the entire database to efficiently generate the hash key database because the normal computation is now faster - this significantly benefits "live" chain processing as well where each dirtied key must be accompanied by a read of all branch subitems next to it - most of the performance benefit in this branch comes from this locality-of-reference improvement. On a sample resync, there's already ~20% improvement with later blocks seeing increasing benefit (because the trie is deeper in later blocks leading to more benefit from branch read perf improvements) ``` blocks: 18729664, baseline: 190h43m49s, contender: 153h59m0s Time (total): -36h44m48s, -19.27% ``` Note: clients need to be resynced as the PR changes the on-disk format R.I.P. little bloom filter - your life in the repo was short but valuable
2024-12-04 11:42:04 +01:00
branch = VertexRef(vType: Branch, startVid: VertexID(0x334452), used: 0x43'u16)
No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
extension = VertexRef(
vType: Branch,
simplify VertexRef (#2626) * move pfx out of variant which avoids pointless field type panic checks and copies on access * make `VertexRef` a non-inheritable object which reduces its memory footprint and simplifies its use - it's also unclear from a semantic point of view why inheritance makes sense for storing keys
2024-09-13 18:55:17 +02:00
pfx: NibblesBuf.nibble(2),
Pre-allocate vids for branches (#2882) Each branch node may have up to 16 sub-items - currently, these are given VertexID based when they are first needed leading to a mostly-random order of vertexid for each subitem. Here, we pre-allocate all 16 vertex ids such that when a branch subitem is filled, it already has a vertexid waiting for it. This brings several important benefits: * subitems are sorted and "close" in their id sequencing - this means that when rocksdb stores them, they are likely to end up in the same data block thus improving read efficiency * because the ids are consequtive, we can store just the starting id and a bitmap representing which subitems are in use - this reduces disk space usage for branches allowing more of them fit into a single disk read, further improving disk read and caching performance - disk usage at block 18M is down from 84 to 78gb! * the in-memory footprint of VertexRef reduced allowing more instances to fit into caches and less memory to be used overall. Because of the increased locality of reference, it turns out that we no longer need to iterate over the entire database to efficiently generate the hash key database because the normal computation is now faster - this significantly benefits "live" chain processing as well where each dirtied key must be accompanied by a read of all branch subitems next to it - most of the performance benefit in this branch comes from this locality-of-reference improvement. On a sample resync, there's already ~20% improvement with later blocks seeing increasing benefit (because the trie is deeper in later blocks leading to more benefit from branch read perf improvements) ``` blocks: 18729664, baseline: 190h43m49s, contender: 153h59m0s Time (total): -36h44m48s, -19.27% ``` Note: clients need to be resynced as the PR changes the on-disk format R.I.P. little bloom filter - your life in the repo was short but valuable
2024-12-04 11:42:04 +01:00
startVid: VertexID(0x55),
used: 0x12'u16,
No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
)
Pre-allocate vids for branches (#2882) Each branch node may have up to 16 sub-items - currently, these are given VertexID based when they are first needed leading to a mostly-random order of vertexid for each subitem. Here, we pre-allocate all 16 vertex ids such that when a branch subitem is filled, it already has a vertexid waiting for it. This brings several important benefits: * subitems are sorted and "close" in their id sequencing - this means that when rocksdb stores them, they are likely to end up in the same data block thus improving read efficiency * because the ids are consequtive, we can store just the starting id and a bitmap representing which subitems are in use - this reduces disk space usage for branches allowing more of them fit into a single disk read, further improving disk read and caching performance - disk usage at block 18M is down from 84 to 78gb! * the in-memory footprint of VertexRef reduced allowing more instances to fit into caches and less memory to be used overall. Because of the increased locality of reference, it turns out that we no longer need to iterate over the entire database to efficiently generate the hash key database because the normal computation is now faster - this significantly benefits "live" chain processing as well where each dirtied key must be accompanied by a read of all branch subitems next to it - most of the performance benefit in this branch comes from this locality-of-reference improvement. On a sample resync, there's already ~20% improvement with later blocks seeing increasing benefit (because the trie is deeper in later blocks leading to more benefit from branch read perf improvements) ``` blocks: 18729664, baseline: 190h43m49s, contender: 153h59m0s Time (total): -36h44m48s, -19.27% ``` Note: clients need to be resynced as the PR changes the on-disk format R.I.P. little bloom filter - your life in the repo was short but valuable
2024-12-04 11:42:04 +01:00
key = HashKey.fromBytes(repeat(0x34'u8, 32))[]
Store keys together with node data (#2849) Currently, computed hash keys are stored in a separate column family with respect to the MPT data they're generated from - this has several disadvantages: * A lot of space is wasted because the lookup key (`RootedVertexID`) is repeated in both tables - this is 30% of the `AriKey` content! * rocksdb must maintain in-memory bloom filters and LRU caches for said keys, doubling its "minimal efficient cache size" * An extra disk traversal must be made to check for existence of cached hash key * Doubles the amount of files on disk due to each column family being its own set of files Here, the two CFs are joined such that both key and data is stored in `AriVtx`. This means: * we save ~30% disk space on repeated lookup keys * we save ~2gb of memory overhead that can be used to cache data instead of indices * we can skip storing hash keys for MPT leaf nodes - these are trivial to compute and waste a lot of space - previously they had to present in the `AriKey` CF to avoid having to look in two tables on the happy path. * There is a small increase in write amplification because when a hash value is updated for a branch node, we must write both key and branch data - previously we would write only the key * There's a small shift in CPU usage - instead of performing lookups in the database, hashes for leaf nodes are (re)-computed on the fly * We can return to slightly smaller on-disk SST files since there's fewer of them, which should reduce disk traffic a bit Internally, there are also other advantages: * when clearing keys, we no longer have to store a zero hash in memory - instead, we deduce staleness of the cached key from the presence of an updated VertexRef - this saves ~1gb of mem overhead during import * hash key cache becomes dedicated to branch keys since leaf keys are no longer stored in memory, reducing churn * key computation is a lot faster thanks to the skipped second disk traversal - a key computation for mainnet can be completed in 11 hours instead of ~2 days (!) thanks to better cache usage and less read amplification - with additional improvements to the on-disk format, we can probably get rid of the initial full traversal method of seeding the key cache on first start after import All in all, this PR reduces the size of a mainnet database from 160gb to 110gb and the peak memory footprint during import by ~1-2gb.
2024-11-20 09:56:27 +01:00
No ext update (#2494) * Imported/rebase from `no-ext`, PR #2485 Store extension nodes together with the branch Extension nodes must be followed by a branch - as such, it makes sense to store the two together both in the database and in memory: * fewer reads, writes and updates to traverse the tree * simpler logic for maintaining the node structure * less space used, both memory and storage, because there are fewer nodes overall There is also a downside: hashes can no longer be cached for an extension - instead, only the extension+branch hash can be cached - this seems like a fine tradeoff since computing it should be fast. TODO: fix commented code * Fix merge functions and `toNode()` * Update `merkleSignCommit()` prototype why: Result is always a 32bit hash * Update short Merkle hash key generation details: Ethereum reference MPTs use Keccak hashes as node links if the size of an RLP encoded node is at least 32 bytes. Otherwise, the RLP encoded node value is used as a pseudo node link (rather than a hash.) This is specified in the yellow paper, appendix D. Different to the `Aristo` implementation, the reference MPT would not store such a node on the key-value database. Rather the RLP encoded node value is stored instead of a node link in a parent node is stored as a node link on the parent database. Only for the root hash, the top level node is always referred to by the hash. * Fix/update `Extension` sections why: Were commented out after removal of a dedicated `Extension` type which left the system disfunctional. * Clean up unused error codes * Update unit tests * Update docu --------- Co-authored-by: Jacek Sieka <jacek@status.im>
2024-07-16 19:47:59 +00:00
check:
Store keys together with node data (#2849) Currently, computed hash keys are stored in a separate column family with respect to the MPT data they're generated from - this has several disadvantages: * A lot of space is wasted because the lookup key (`RootedVertexID`) is repeated in both tables - this is 30% of the `AriKey` content! * rocksdb must maintain in-memory bloom filters and LRU caches for said keys, doubling its "minimal efficient cache size" * An extra disk traversal must be made to check for existence of cached hash key * Doubles the amount of files on disk due to each column family being its own set of files Here, the two CFs are joined such that both key and data is stored in `AriVtx`. This means: * we save ~30% disk space on repeated lookup keys * we save ~2gb of memory overhead that can be used to cache data instead of indices * we can skip storing hash keys for MPT leaf nodes - these are trivial to compute and waste a lot of space - previously they had to present in the `AriKey` CF to avoid having to look in two tables on the happy path. * There is a small increase in write amplification because when a hash value is updated for a branch node, we must write both key and branch data - previously we would write only the key * There's a small shift in CPU usage - instead of performing lookups in the database, hashes for leaf nodes are (re)-computed on the fly * We can return to slightly smaller on-disk SST files since there's fewer of them, which should reduce disk traffic a bit Internally, there are also other advantages: * when clearing keys, we no longer have to store a zero hash in memory - instead, we deduce staleness of the cached key from the presence of an updated VertexRef - this saves ~1gb of mem overhead during import * hash key cache becomes dedicated to branch keys since leaf keys are no longer stored in memory, reducing churn * key computation is a lot faster thanks to the skipped second disk traversal - a key computation for mainnet can be completed in 11 hours instead of ~2 days (!) thanks to better cache usage and less read amplification - with additional improvements to the on-disk format, we can probably get rid of the initial full traversal method of seeding the key cache on first start after import All in all, this PR reduces the size of a mainnet database from 160gb to 110gb and the peak memory footprint during import by ~1-2gb.
2024-11-20 09:56:27 +01:00
deblobify(blobify(leafAccount, key), VertexRef)[] == leafAccount
deblobify(blobify(leafStoData, key), VertexRef)[] == leafStoData
deblobify(blobify(branch, key), VertexRef)[] == branch
deblobify(blobify(extension, key), VertexRef)[] == extension
deblobify(blobify(branch, key), HashKey)[] == key
deblobify(blobify(extension, key), HashKey)[] == key
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