This PR makes it easy to generate and execute testcases for VM arithmetic operations. By enabling and running the testcase TestWriteExpectedValues, a set of json files are created which contain input and output for each arith operation.
The test TestJsonTestcases executes all of those tests.
While meaningless as is, this PR makes it less risky to make changes (optimizations) to the vm operations, since there will be a larger body of testcases.
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.
* core/vm: remove function call for stack validation from evm runloop
* core/vm: separate gas calc into static + dynamic
* core/vm: optimize push1
* core/vm: reuse pooled bigints for ADDRESS, ORIGIN and CALLER
* core/vm: use generic error message for jump/jumpi, to avoid string interpolation
* testdata: fix tests for new error message
* core/vm: use 64-bit memory calculations
* core/vm: fix error in memory calculation
* core/vm: address review concerns
* core/vm: avoid unnecessary use of big.Int:BitLen()
This change
- implements concurrent LES request serving even for a single peer.
- replaces the request cost estimation method with a cost table based on
benchmarks which gives much more consistent results. Until now the
allowed number of light peers was just a guess which probably contributed
a lot to the fluctuating quality of available service. Everything related
to request cost is implemented in a single object, the 'cost tracker'. It
uses a fixed cost table with a global 'correction factor'. Benchmark code
is included and can be run at any time to adapt costs to low-level
implementation changes.
- reimplements flowcontrol.ClientManager in a cleaner and more efficient
way, with added capabilities: There is now control over bandwidth, which
allows using the flow control parameters for client prioritization.
Target utilization over 100 percent is now supported to model concurrent
request processing. Total serving bandwidth is reduced during block
processing to prevent database contention.
- implements an RPC API for the LES servers allowing server operators to
assign priority bandwidth to certain clients and change prioritized
status even while the client is connected. The new API is meant for
cases where server operators charge for LES using an off-protocol mechanism.
- adds a unit test for the new client manager.
- adds an end-to-end test using the network simulator that tests bandwidth
control functions through the new API.
gary rong
Péter Szilágyi
Matthew Halpern
Martin Holst Swende
hydai
Runchao Han
贺鹏飞
Liang Ma
Brent
Corey Lin
Sheldon
Samuel Marks
Felföldi Zsolt
Matthew Halpern
needkane
atsushi-ishibashi