This PR adds `DeleteRange` to `ethdb.KeyValueWriter`. While range
deletion using an iterator can be really slow, `DeleteRange` is natively
supported by pebble and apparently runs in O(1) time (typically 20-30ms
in my tests for removing hundreds of millions of keys and gigabytes of
data). For leveldb and memorydb an iterator based fallback is
implemented. Note that since the iterator method can be slow and a
database function should not unexpectedly block for a very long time,
the number of deleted keys is limited at 10000 which should ensure that
it does not block for more than a second. ErrTooManyKeys is returned if
the range has only been partially deleted. In this case the caller can
repeat the call until it finally succeeds.
* cmd/geth, ethdb/pebble: polish method naming and code comment
* implement db stat for pebble
* cmd, core, ethdb, internal, trie: remove db property selector
* cmd, core, ethdb: fix function description
---------
Co-authored-by: prpeh <prpeh@proton.me>
Co-authored-by: Gary Rong <garyrong0905@gmail.com>
* trie: use pooling of iterator states in iterator
The node iterator burns through a lot of memory while iterating a trie, and a lot of
that can be avoided by using a fairly small pool (max 40 items).
name old time/op new time/op delta
Iterator-8 6.22ms ± 3% 5.40ms ± 6% -13.18% (p=0.008 n=5+5)
name old alloc/op new alloc/op delta
Iterator-8 2.36MB ± 0% 1.67MB ± 0% -29.23% (p=0.008 n=5+5)
name old allocs/op new allocs/op delta
Iterator-8 37.0k ± 0% 29.8k ± 0% ~ (p=0.079 n=4+5)
* ethdb/memorydb: avoid one copying of key
By making the transformation from []byte to string at an earlier point,
we save an allocation which otherwise happens later on.
name old time/op new time/op delta
BatchAllocs-8 412µs ± 6% 382µs ± 2% -7.18% (p=0.016 n=5+4)
name old alloc/op new alloc/op delta
BatchAllocs-8 480kB ± 0% 490kB ± 0% +1.93% (p=0.008 n=5+5)
name old allocs/op new allocs/op delta
BatchAllocs-8 3.03k ± 0% 2.03k ± 0% -32.98% (p=0.008 n=5+5)
One difference between pebble and leveldb is that the latter returns error when performing Get on a closed database, the former does a panic. This may be triggered during shutdown (see #27237)
This PR changes the pebble driver so we check that the db is not closed already, for several operations. It also adds tests to the db test-suite, so the previously implicit assumption of "not panic:ing at ops on closed database" is covered by tests.
This PR adds an addtional API called `NewBatchWithSize` for db
batcher. It turns out that leveldb batch memory allocation is
super inefficient. The main reason is the allocation step of
leveldb Batch is too small when the batch size is large. It can
take a few second to build a leveldb batch with 100MB size.
Luckily, leveldb also offers another API called MakeBatch which can
pre-allocate the memory area. So if the approximate size of batch is
known in advance, this API can be used in this case.
It's needed in new state scheme PR which needs to commit a batch of
trie nodes in a single batch. Implement the feature in a seperate PR.
* eth/protocols/snap: generate storage trie from full dirty snap data
* eth/protocols/snap: get rid of some more dead code
* eth/protocols/snap: less frequent logs, also log during trie generation
* eth/protocols/snap: implement dirty account range stack-hashing
* eth/protocols/snap: don't loop on account trie generation
* eth/protocols/snap: fix account format in trie
* core, eth, ethdb: glue snap packets together, but not chunks
* eth/protocols/snap: print completion log for snap phase
* eth/protocols/snap: extended tests
* eth/protocols/snap: make testcase pass
* eth/protocols/snap: fix account stacktrie commit without defer
* ethdb: fix key counts on reset
* eth/protocols: fix typos
* eth/protocols/snap: make better use of delivered data (#44)
* eth/protocols/snap: make better use of delivered data
* squashme
* eth/protocols/snap: reduce chunking
* squashme
* eth/protocols/snap: reduce chunking further
* eth/protocols/snap: break out hash range calculations
* eth/protocols/snap: use sort.Search instead of looping
* eth/protocols/snap: prevent crash on storage response with no keys
* eth/protocols/snap: nitpicks all around
* eth/protocols/snap: clear heal need on 1-chunk storage completion
* eth/protocols/snap: fix range chunker, add tests
Co-authored-by: Péter Szilágyi <peterke@gmail.com>
* trie: fix test API error
* eth/protocols/snap: fix some further liter issues
* eth/protocols/snap: fix accidental batch reuse
Co-authored-by: Martin Holst Swende <martin@swende.se>
* core/state/snapshot, ethdb: track deletions more accurately
* core/state/snapshot: don't reset the iterator, leveldb's screwy
* ethdb: don't mess with the insert batches for now
- Move the existing tests from memorydb into a generalized testsuite
that can be run by any ethdb backend implementation.
- Add several more test cases to clarify some non-obvious nuances when
implementing a custom ethdb backend, such as the behaviour of
NewIteratorWithPrefix vs NewIteratorWithStart.
- Add leveldb to the testsuite using in-memory storage for fast
execution.
* all: freezer style syncing
core, eth, les, light: clean up freezer relative APIs
core, eth, les, trie, ethdb, light: clean a bit
core, eth, les, light: add unit tests
core, light: rewrite setHead function
core, eth: fix downloader unit tests
core: add receipt chain insertion test
core: use constant instead of hardcoding table name
core: fix rollback
core: fix setHead
core/rawdb: remove canonical block first and then iterate side chain
core/rawdb, ethdb: add hasAncient interface
eth/downloader: calculate ancient limit via cht first
core, eth, ethdb: lots of fixes
* eth/downloader: print ancient disable log only for fast sync
* core, eth, trie: bloom filter for trie node dedup during fast sync
* eth/downloader, trie: address review comments
* core, ethdb, trie: restart fast-sync bloom construction now and again
* eth/downloader: initialize fast sync bloom on startup
* eth: reenable eth/62 until we properly remove it
This PR is a more advanced form of the dirty-to-clean cacher (#18995),
where we reuse previous database write batches as datasets to uncache,
saving a dirty-trie-iteration and a dirty-trie-rlp-reencoding per block.
