* Update state network to use addressHash instead of address in contract trie and contract code content keys.
* Fix path calculation bug in getParent when working with extension nodes.
* Bump portal spec tests repo.
* Finish updating tests due to portal test vector changes.
* Update Fluffy state bridge to use addressHash.
* Update Fluffy book with correct commands for running portal hive tests.
* Provide portal proof functions in `aristo_api`
why:
So it can be fully supported by `CoreDb`
* Fix prototype in `kvt_api`
* Fix node constructor for account leafs with storage trees
* Provide simple path check based on portal proof functionality
* Provide portal proof functionality in `CoreDb`
* Update TODO list
* Extracted `test_tx.testTxMergeProofAndKvpList()` => separate file
* Fix serialiser
why:
Typo lead to duplicate rlp-encoded nodes in chain
* Remove cruft
* Implemnt portal proof nodes generators `partXxxTwig()`
* Add unit test for portal proof nodes generator `partAccountTwig()`
* Cosmetics
* Simplify serialiser return code format
* Fix proof generator for extension nodes
why:
Code was simply bonkers, not detected before the unit tests were
adapted to check for just this.
* Implemented portal proof nodes verifier `partUntwig()`
* Cosmetics
* Fix `testutp` cli poblem
* Use RPC batching to send offer requests and filter out duplicate offers.
* Lookup offers after gossip to check if gossip successful.
* Use multiple workers for gossiping offers.
* Update Fluffy state network logging.
* Use single RPC calls instead of batching.
* Update cli parameters.
* Fix bug in contract trie offer building.
* Create block offers queue and collect account preimages.
* Implement iterators to return account and storage proofs and bytecode from updatedCaches.
* Implement building offers from proofs.
* Refactor BlockDataRef type to only include required fields.
* Store block data in database.
* Improve state diff types.
* Implement start state backfill from specific block.
* Record last persisted block number in database.
* Persist account preimages in db.
* Apply state updates for DAO hard fork.
* Implement state gossip of block offers via portal JSON RPC.
* Implement partial trees
why:
This is currently needed for unit tests to pre-load the database
with test data similar to `proof` node pre-load.
The basic features for `snap-sync` boundary proofs are available
as well for future use. What is missing is the final proof verification
and a complete storage data load/merge function (stub is available.)
* Cosmetics, clean up
* remove some redundant EH
* avoid pessimising move (introduces a copy in this case!)
* shift less data around when reading era files (reduces stack usage)
- Add basic validation for LC bootstrap gossip, validating either
by trusted block root (only 1) when not synced, or by comparing
with the header of the latest finality update when synced.
- Update portal_bridge beacon to also gossip bootstraps into the
network on each end of epoch.
* Update config for Ledger and CoreDb
why:
Prepare for tracer which depends on the API jump table (as well as
the profiler.) The API jump table is now enabled in unit/integration
test mode piggybacking on the `unittest2DisableParamFiltering`
compiler flag or on an extra compiler flag `dbjapi_enabled`.
* No deed for error field in `NodeRef`
why:
Was opnly needed by proof nodes pre-loader which will be re-implemented
* Cosmetics
* Aristo: Merge `delta_siblings` module into `deltaPersistent()`
* Aristo: Add `isEmpty()` for canonical checking whether a layer is empty
* Aristo: Merge `LayerDeltaRef` into `LayerObj`
why:
No need to maintain nested object refs anymore. Previously the
`LayerDeltaRef` object had a companion `LayerFinalRef` which held
non-delta layer information.
* Kvt: Merge `LayerDeltaRef` into `LayerRef`
why:
No need to maintain nested object refs (as with `Aristo`)
* Kvt: Re-write balancer logic similar to `Aristo`
why:
Although `Kvt` was a cheap copy of `Aristo` it sort of got out of
sync and the balancer code was wrong.
* Update iterator over forked peers
why:
Yield additional field `isLast` indicating that the last iteration
cycle was approached.
* Optimise balancer calculation.
why:
One can often avoid providing a new object containing the merge of two
layers for the balancer. This avoids copying tables. In some cases this
is replaced by `hasKey()` look ups though. One uses one of the two
to combine and merges the other into the first.
Of course, this needs some checks for making sure that none of the
components to merge is eventually shared with something else.
* Fix copyright year
* Started state bridge.
* Implement call to fetch stateDiffs using trace_replayBlockTransactions.
* Convert JSON responses to stateDiff types.
* State updates working for first few blocks.
* Correctly building state for first 200K blocks.
* Add storage of code and cleanup.
* Start state bridge refactor.
* More cleanup and fixes.
* Use RocksDb as backend for state.
* Implement transactions.
* Build RocksDb dependency when building fluffy tools.
* Move code to world state helper.
* Implement producer and consumer queue.
* Cleanup exceptions.
* Improve logging.
* Add update caches to DatabaseRef backends.
When lazily verifying state roots, we may end up with an entire state
without roots that gets computed for the whole database - in the current
design, that would result in hashes for the entire trie being held in
memory.
Since the hash depends only on the data in the vertex, we can store it
directly at the top-most level derived from the verticies it depends on
- be that memory or database - this makes the memory usage broadly
linear with respect to the already-existing in-memory change set stored
in the layers.
It also ensures that if we have multiple forks in memory, hashes get
cached in the correct layer maximising reuse between forks.
The same layer numbering scheme as elsewhere is reused, where -2 is the
backend, -1 is the balancer, then 0+ is the top of the stack and stack.
A downside of this approach is that we create many small batches - a
future improvement could be to collect all such writes in a single
batch, though the memory profile of this approach should be examined
first (where is the batch kept, exactly?).