* write uncompressed validator keys to database
Loading 150k+ validator keys on startup in compressed format takes a lot
of time - better store them in uncompressed format which makes behaviour
just after startup faster / more predictable.
* refactor cached validator key access
* fix isomorphic cast to work with non-var instances
* remove cooked pubkey cache - directly use database cache in chaindag
as well (one less cache to keep in sync)
* bump blscurve, introduce loadValid for known-to-be-valid keys
* load the cache of the current state epoch instead of the target state
epoch, when applying states and slots
* load state cache for each slot/block (for longer slot jumps)
* load state cache after full updateStateData
* look up two state cache epochs, instead of the same epoch twice :)
Instead of keeping a validator key list per EpochRef, this PR introduces
a single shared validator key list in ChainDAG, and cleans up some other
ChainDAG and key-related issues.
The PR does not introduce the validator key list in the state transition
- this is because we batch-check all signatures before entering the spec
code, thus the spec code never hits the cache.
A future refactor should _probably_ remove the threadvar altogether.
There's a few other small fixes in here that make the flow easier to
read:
* fix `var ChainDAGRef` -> `ChainDAGRef`
* fix `var QuarantineRef` -> `QuarantineRef`
* consistent `dag` variable name
* avoid using threadvar pubkey cache in most cases
* better error messages in batch signature checking
* update ChainDAG.effective_balance() to use StateData; rm unused ChainDAG.getBlockByPreciseSlot()
* update get_effective_balances to avoid god object; avoid most memory allocation in Altair epoch reward and penalty processing
* don't consider legacy database when writing state - this read is slow
on kvstore
* avoid epoch transition when there's an exact match in cache already
* simplify init to only consider checkpoint states
This way we perform the expensive epoch processing before the block
arrives.
Of course, this may lead to speculative misses which in turn lead to
replays - it's likely that in the case of a miss, we'll see a replay
regardless.
* gossip_to_consensus -> block_processor (it's processing only blocks,
but not only from gossip)
* measure queue and validation time for blocks
* measure assignment and state loading times for updateStateData
* avoid some unnecessary block copies in block sync
* warn that database is corrupt if we hit tail without a state
* proposed structure for hf1
* refactor datatypes.nim into datatypes/{base, phase0, hf1}.nim
* hf1 is Altair
* some syncing with alpha 2
* adjust epoch processing to disambiguate access to RewardFlags
* relocate StateData to stay consistent with meaning phase 0 StateData
* passes v1.1.0 alpha 5 SSZ consensus object tests
* Altair block header test fixtures work
* fix slash_validator() so that Altair attester slashings, proposer slashings, and voluntary exit textures work
* deposit operation Altair test fixtures work
* slot sanity and all but a couple epoch transition tests switched to Altair
* attestation Altair test fixtures work
* Altair block sanity test fixtures work
* add working altair sync committee tests
* improve workarounds for sum-types-across-modules Nim bug; incorporate SignedBeaconBlock root reconstuction to SSZ byte reader
This reverts commit eebc828778.
Adding a separate file turns out not to be enough. This PR reverts the
separate file change.
Another theory is that the large kvstore table causes cache thrashing -
all database connections share a common page cache which would explain
the poor performance of the separate file solution.
By moving from Nim's default of "-g3" to "-g1" we get binaries that are
half as large and still have enough debugging symbols for backtraces,
but not enough for GDB debugging.
The V1 table structure shows great improvements in performance, but if
there's an old `kvstore` without rowid:s, these benefits are nullified:
reorgs during writes and deletes remain expensive (even if the
degradation is reduced somewhat).
This PR creates the tables in a new file instead, and uses the old file
as a read-only store - this has several interesting properties:
* the old database is left completely untouched - this guarantees that
downgrades work smooth (they'll only need to resync their missing
portions)
* starting sync after this PR means only a v1 database is created
* v0 databases stick around - no migration is performed (for now)
Future PR:s can introduce migration of the data from one database to
another - a simply copy will take hours which is downtime we want to
avoid - at that point, it might make sense to migrate straight to era
files instead.
Jacek Sieka
Kim De Mey
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Eugene Kabanov
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