Jacek Sieka 0b32078c4b
Consolidate block type for block processing (#2325)
This PR consolidates the split header-body sequences into a single EthBlock
sequence and cleans up the fallout from that which significantly reduces
block processing overhead during import thanks to less garbage collection
and fewer copies of things all around.

Notably, since the number of headers must always match the number of bodies,
we also get rid of a pointless degree of freedom that in the future could
introduce unnecessary bugs.

* only read header and body from era file
* avoid several unnecessary copies along the block processing way
* simplify signatures, cleaning up unused arguemnts and returns
* use `stew/assign2` in a few strategic places where the generated
  nim assignent is slow and add a few `move` to work around poor
  analysis in nim 1.6 (will need to be revisited for 2.0)

```
stats-20240607_2223-a814aa0b.csv vs stats-20240608_0714-21c1d0a9.csv
                       bps_x     bps_y     tps_x        tps_y    bpsd    tpsd    timed
block_number
(498305, 713245]    1,540.52  1,809.73  2,361.58  2775.340189  17.63%  17.63%  -14.92%
(713245, 928185]      730.36    865.26  1,715.90  2028.973852  18.01%  18.01%  -15.21%
(928185, 1143126]     663.03    789.10  2,529.26  3032.490771  19.79%  19.79%  -16.28%
(1143126, 1358066]    393.46    508.05  2,152.50  2777.578119  29.13%  29.13%  -22.50%
(1358066, 1573007]    370.88    440.72  2,351.31  2791.896052  18.81%  18.81%  -15.80%
(1573007, 1787947]    283.65    335.11  2,068.93  2441.373402  17.60%  17.60%  -14.91%
(1787947, 2002888]    287.29    342.11  2,078.39  2474.179448  18.99%  18.99%  -15.91%
(2002888, 2217828]    293.38    343.16  2,208.83   2584.77457  17.16%  17.16%  -14.61%
(2217828, 2432769]    140.09    167.86  1,081.87  1296.336926  18.82%  18.82%  -15.80%

blocks: 1934464, baseline: 3h13m1s, contender: 2h43m47s
bpsd (mean): 19.55%
tpsd (mean): 19.55%
Time (total): -29m13s, -15.14%
```
2024-06-09 16:32:20 +02:00
..

Core database replacement wrapper object

This wrapper replaces the TrieDatabaseRef and its derivatives by the new object CoreDbRef.

Relations to current TrieDatabaseRef implementation

Here are some incomplete translations for objects and constructors.

Object types:

Legacy notation CoreDbRef based replacement
ChainDB (don't use/avoid)
ChainDbRef CoreDbRef
TrieDatabaseRef CoreDbKvtRef
HexaryTrie CoreDbMptRef
SecureHexaryTrie CoreDbPhkRef
DbTransaction CoreDbTxRef
TransactionID CoreDbTxID

Constructors:

Legacy notation CoreDbRef based replacement
trieDB newChainDB("..") newCoreDbRef(LegacyDbPersistent,"..")
newMemoryDB() newCoreDbRef(LegacyDbMemory)
--
initHexaryTrie(db,..) db.mpt(..) (no pruning)
db.mptPrune(..) (w/pruning true/false)
--
initSecureHexaryTrie(db,..) db.phk(..) (no pruning)
db.phkPrune(..) (w/pruning true/false)
--
newCaptureDB(db,memDB) db.capture() (see below)

Usage of the replacement wrapper

Objects pedigree:

    CoreDbRef                        -- base descriptor
     | | |
     | | +--- CoreDbCtxRef           -- MPT context descriptor
     | |        | |
     | |        | +-- CoreDbMptRef   -- hexary trie instance
     | |        | |    :                    :
     | |        | +-- CoreDbMptRef   -- hexary trie instance
     | |        |
     | |        |
     | |        +---- CoreDbPhkRef   -- pre-hashed key hexary trie instance
     | |        |      :                    :
     | |        +---- CoreDbPhkRef   -- pre-hashed key hexary trie instance
     | |
     | |
     | +------ CoreDbKvtRef          -- single static key-value table
     |
     |
     +-------- CoreDbCaptRef         -- tracer support descriptor

Instantiating legacy standard database object descriptors works as follows:

    let
      db = newCoreDbRef(..)           # new base descriptor
      mpt = db.mpt(..)                # hexary trie/Merkle Patricia Tree
      phk = db.phk(..)                # pre-hashed key hexary trie/MPT
      kvt = db.kvt                    # key-value table

Tracer support setup by hiding the current CoreDbRef behind a replacement:

    let
      capture = db.capture()
      db = capture.recorder           # use the recorder in place of db
    ...

    for key,value in capture.recorder.kvt:
     ...                              # process recorded data