This PR adds a storage hike cache similar to the account hike cache
already present - this cache is less efficient because account storage
is already partically cached in the account ledger but nonetheless helps
keep hiking down.
Notably, there's an opportunity to optimise this cache and the others so
that they cooperate better insteado of overlapping, which is left for a
future PR.
This PR also fixes an O(N) memory usage for storage slots where the
delete would keep the full storage in a work list which on mainnet can
grow very large - the work list is replaced with a more conventional
recursive `O(log N)` approach.
The Vertex type unifies branches, extensions and leaves into a single
memory area where the larges member is the branch (128 bytes + overhead) -
the payloads we have are all smaller than 128 thus wrapping them in an
extra layer of `ref` is wasteful from a memory usage perspective.
Further, the ref:s must be visited during the M&S phase of garbage
collection - since we keep millions of these, many of them
short-lived, this takes up significant CPU time.
```
Function CPU Time: Total CPU Time: Self Module Function (Full) Source File Start Address
system::markStackAndRegisters 10.0% 4.922s nimbus system::markStackAndRegisters(var<system::GcHeap>).constprop.0 gc.nim 0x701230`
```
* Extract `CoreDb` constructor helpers from `base.nim` into separate module
why:
This makes it easier to avoid circular imports.
* Extract `Ledger` constructor helpers from `base.nim` into separate module
why:
Move `accounts_ledger.nim` file to sub-folder `backend`. That way the
layout resembles that of the `core_db`.
* Updates and corrections
* Extract `CoreDb` configuration from `base.nim` into separate module
why:
This makes it easier to avoid circular imports, in particular
when the capture journal (aka tracer) is revived.
* Extract `Ledger` configuration from `base.nim` into separate module
why:
This makes it easier to avoid circular imports (if any.)
also:
Move `accounts_ledger.nim` file to sub-folder `backend`. That way the
layout resembles that of the `core_db`.
hike allocations (and the garbage collection maintenance that follows)
are responsible for some 10% of cpu time (not wall time!) at this point
- this PR avoids them by stepping through the layers one step at a time,
simplifying the code at the same time.
* Rename `newKvt()` -> `ctx.getKvt()`
why:
Clean up legacy shortcut. Also, the `KVT` returned is not instantiated
but refers to the shared `KVT` that resides in a context which is a
generalisation of an in-memory database fork. The function `ctx`
retrieves the default context.
* Rename `newTransaction()` -> `ctx.newTransaction()`
why:
Clean up legacy shortcut. The transaction is applied to a context as a
generalisation of an in-memory database fork. The function `ctx`
retrieves the default context.
* Rename `getColumn(CtGeneric)` -> `getGeneric()`
why:
No more a list of well known sub-tries needed, a single one is enough.
In fact, `getColumn()` did only support a single sub-tree by now.
* Reduce TODO list
This trivial bump should improve performance a bit without costing too
much memory - as the trie grows, so does the number of levels in it and
creating hikes becomes ever more expensive - hopefully this cache
increase should give a nice little boost even if it's not a lot.
Avoid writing the same slot/hash values to the hash->slot mapping
to avoid spamming the rocksdb WAL and cause unnecessary compaction
In the same vein, avoid writing trivially detectable A-B-A storage
changes which happen with surprising frequency.
Introduce a new `StoData` payload type similar to `AccountData`
* slightly more efficient storage format
* typed api
* fewer seqs
* fix encoding docs - it wasn't rlp after all :)
This significantly speeds up block import at the cost of less protection
against invalid data, potentially resulting in an invalid database
getting stored.
The risk is small given that import is used only for validated data -
evaluating the right level of of validation vs performance is left for a
future PR.
A side effect of this approach is that there is no cached stated root in
the database - computing it currently requires a lot of memory since the
intermediate roots get cached in memory in full while the computation is
ongoing - a future PR will need to address this deficiency, for example
by streaming the already-computed hashes directly to the database.
The state and account MPT:s currenty share key space in the database
based on that vertex id:s are assigned essentially randomly, which means
that when two adjacent slot values from the same contract are accessed,
they might reside at large distance from each other.
Here, we prefix each vertex id by its root causing them to be sorted
together thus bringing all data belonging to a particular contract
closer together - the same effect also happens for the main state MPT
whose nodes now end up clustered together more tightly.
In the future, the prefix given to the storage keys can also be used to
perform range operations such as reading all the storage at once and/or
deleting an account with a batch operation.
Notably, parts of the API already supported this rooting concept while
parts didn't - this PR makes the API consistent by always working with a
root+vid.
The storage id is frequently accessed when executing contract code and
finding the path via the database requires several hops making the
process slow - here, we add a cache to keep the most recently used
account storage id:s in memory.
A possible future improvement would be to cache all account accesses so
that for example updating the balance doesn't cause several hikes.
* CoreDb: Merged all sub-descriptors into `base_desc` module
* Dissolve `aristo_db/common_desc.nim`
* No need to export `Aristo` methods in `CoreDb`
* Resolve/tighten methods in `aristo_db` sub-moduled
why:
So they can be straihgt implemented into the `base` module
* Moved/re-implemented `KVT` methods into `base` module
* Moved/re-implemented `MPT` methods into `base` module
* Moved/re-implemented account methods into `base` module
* Moved/re-implemented `CTX` methods into `base` module
* Moved/re-implemented `handler_{aristo,kvt}` into `aristo_db` module
* Moved/re-implemented `TX` methods into `base` module
* Moved/re-implemented base methods into `base` module
* Replaced `toAristoSavedStateBlockNumber()` by proper base method
why:
Was the last for keeping reason for keeping low level backend access
methods
* Remove dedicated low level access to `Aristo` backend
why:
Not needed anymore, for debugging the descriptors can be accessed
directly
also:
some clean up stuff
* Re-factor `CoreDb` descriptor layout and adjust base methods
* Moved/re-implemented iterators into `base_iterator*` modules
* Update docu
These representations use ~15-20% less data compared to the status quo,
mainly by removing redundant zeroes in the integer encodings - a
significant effect of this change is that the various rocksdb caches see
better efficiency since more items fit in the same amount of space.
* use RLP encoding for `VertexID` and `UInt256` wherever it appears
* pack `VertexRef`/`PayloadRef` more tightly
* avoid costly hike memory allocations for operations that don't need to
re-traverse it
* avoid unnecessary state checks (which might trigger unwanted state
root computations)
* disable optimize-for-hits due to the MPT no longer being complete at
all times
* Update some docu
* Resolve obsolete compile time option
why:
Not optional anymore
* Update checks
why:
The notion of what constitutes a valid `Aristo` db has changed due to
(even more) lazy calculating Merkle hash keys.
* Disable redundant unit test for production
* Use simpler schema when writing transactions, receipts, and withdrawals
Using MPT not only slow but also take up more spaces than needed.
Aristo will remove older tries and only keep the last block tries.
Using simpler schema will avoid those problems.
* Rename getTransaction to getTransactionByIndex
* Remove `dirty` set from structural objects
why:
Not used anymore, the tree is dirty by default.
* Rename `aristo_hashify` -> `aristo_compute`
* Remove cruft, update comments, cosmetics, etc.
* Simplify `SavedState` object
why:
The key chaining have become obsolete after extra lazy hashing. There
is some available space for a state hash to be maintained in future.
details:
Accept the legacy `SavedState` object serialisation format for a
while (which will be overwritten by new format.)
* rebased from `github/on-demand-mpt`
ackn:
wip: on-demand mpt construction
Given that actual data is stored in the `Vertex` structure, it's useful
to think of the MPT as a cache for computing roots rather than being a
functional requirement on its own.
This PR engenders this line of thinking by incrementally computing the
MPT only when it's needed, ie when a state (or similar) root is needed.
This has the effect of siginficantly reducing memory usage as well as
improving performance:
* no need for dirty-mpt-node book-keeping
* no need to build complex forest of upcoming hashing work
* only hashes that are functionally needed are ever computed -
intermediate nodes whose MTP root is not observed are never computed /
processed
* Unit test hot fixes
* Unit test hot fixes cont.
(somehow lost that part)
---------
Co-authored-by: Jacek Sieka <jacek@status.im>
* Normalised storage tree addressing in function prototypes
detail:
Argument list is always `<db> <account-path> <slot-path> ..` with
both path arguments as `openArray[]`
* Remove cruft
* CoreDb internally Use full account paths rather than addresses
* Update API logging
* Use hashed account address only in prototypes
why:
This avoids unnecessary repeated hashing of the same account address.
The burden of doing that is upon the application. In the case here,
the ledger caches all kinds of stuff anyway so it is common sense to
exploit that for account address hashes.
caveat:
Using `openArray[byte]` argument types for hashed accounts is inherently
fragile. In non-release mode, a length verification `doAssert` is
enabled by default.
* No accPath in data record (use `AristoAccount` as `CoreDbAccount`)
* Remove now unused `eAddr` field from ledger `AccountRef` type
why:
Is duplicate of lookup key
* Avoid merging the account record/statement in the ledger twice.
* Tighten `CoreDb` API for accounts
why:
Apart from cruft, the way to fetch the accounts state root via a
`CoreDbColRef` record was unnecessarily complicated.
* Extend `CoreDb` API for accounts to cover storage tries
why:
In future, this will make the notion of column objects obsolete. Storage
trees will then be indexed by the account address rather than the vertex
ID equivalent like a `CoreDbColRef`.
* Apply new/extended accounts API to ledger and tests
details:
This makes the `distinct_ledger` module obsolete
* Remove column object constructors
why:
They were needed as an abstraction of MPT sub-trees including storage
trees. Now, storage trees are handled by the account (e.g. via address)
they belong to and all other trees can be identified by a constant well
known vertex ID. So there is no need for column objects anymore.
Still there are some left-over column object methods wnich will be
removed next.
* Remove `serialise()` and `PayloadRef` from default Aristo API
why:
Not needed. `PayloadRef` was used for unstructured/unknown payload
formats (account or blob) and `serialise()` was used for decodng
`PayloadRef`. Now it is known in advance what the payload looks
like.
* Added query function `hasStorageData()` whether a storage area exists
why:
Useful for supporting `slotStateEmpty()` of the `CoreDb` API
* In the `Ledger` replace `storage.stateEmpty()` by `slotStateEmpty()`
* On Aristo, hide the storage root/vertex ID in the `PayloadRef`
why:
The storage vertex ID is fully controlled by Aristo while the
`AristoAccount` object is controlled by the application. With the
storage root part of the `AristoAccount` object, there was a useless
administrative burden to keep that storage root field up to date.
* Remove cruft, update comments etc.
* Update changed MPT access paradigms
why:
Fixes verified proxy tests
* Fluffy cosmetics
* Simplify txpool baseFeeGet
- Avoid using toEVMFork because we are not in EVM
- Rename `isLondon` to `isLondonOrLater`
* Remove timestamp from isLondonOrLater
* ForkedChain implementation
- revamp test_blockchain_json using ForkedChain
- re-enable previously failing test cases.
* Remove excess error handling
* Avoid reloading parent header
* Do not force base update
* Write baggage to database
* Add findActiveChain to finalizedSegment
* Create new stagingTx in addBlock
* Check last stateRoot existence in test_blockchain_json
* Resolve rebase conflict
* More precise nomenclature for block import cursor
* Ensure bad block nor imported and good block not rejected
* finalizeSegment become forkChoice and align with engine API forkChoice spec
* Display reason when good block rejected
* Fix comments
* Put BaseDistance into CalculateNewBase equation
* Separate finalizedHash from baseHash
* Add more doAssert constraint
* Add push raises: []
* creating a seq from a table that holds lots of changes means copying
all data into the table - this can be several GB of data while syncing
blocks
* nim fails to optimize the moving of the `WidthFirstForest` - the real
solution is to not construct a `wff` to begin with, but this PR provides
relief while that is being worked on
This spike fix allows us to bump the rocksdb cache by another 2 GB and
still have a significantly lower peak memory usage during sync.
When processing long ranges of blocks, the account cache grows unbounded
which cause huge memory spikes.
Here, we move the cache to a second-level cache after each block - the
second-level cache is cleared on the next block after that which creates
a simple LRU effect.
There's a small performance cost of course, though overall the freed-up
memory can now be reassigned to the rocksdb row cache which not only
makes up for the loss but overall leads to a performance increase.
The bump to 2gb of rocksdb row cache here needs more testing but is
slightly less and loosely basedy on the savings from this PR and the
circular ref fix in #2408 - another way to phrase this is that it's
better to give rocksdb more breathing room than let the memory sit
unused until circular ref collection happens ;)
An instance of `CoreDbMptRef` is created for and stored in every account
- when we are processing blocks and have many accounts in memory, this
closure environment takes up hundreds of mb of memory (around block 5M,
it is the 4:th largest memory consumer!) - incidentally, this also
removes a circular reference in the setup that causes the
`AristoCodeDbMptRef` to linger in memory much longer than it
has to which is the core reason why it takes so much.
The real solution here is to remove the methods indirection entirely,
but this PR provides relief until that has been done.
Similar treatment is given to some of the other core api functions to
avoid circulars there too.
Jacek Sieka
Jordan Hrycaj
Advaita Saha
andri lim
web3-developer