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* avoid costly hike memory allocations for operations that don't need to re-traverse it * avoid unnecessary state checks (which might trigger unwanted state root computations) * disable optimize-for-hits due to the MPT no longer being complete at all times |
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| .. | ||
| .gitignore | ||
| README.md | ||
| block-import-stats.py | ||
| check_copyright_year.sh | ||
| make_dist.sh | ||
| make_states.sh | ||
| print_version.nims | ||
| requirements.in | ||
| requirements.txt | ||
README.md
Utility scripts
block-import-stats.py
This script compares outputs from two nimbus import --debug-csv-stats, a
baseline and a contender.
To use it, set up a virtual environment:
# Create a venv for the tool
python -m venv stats
. stats/bin/activate
pip install -r requirements.txt
python block-import-stats.py
- Generate a baseline version by processing a long range of blocks using
nimbus import - Modify your code and commit to git (to generate a unique identifier for the code)
- Re-run the same import over the range of blocks of interest, saving the import statistics to a new CSV
- Pass the two CSV files to the script
By default, the script will skip block numbers below 500k since these are mostly unintersting.
See -h for help text on running the script.
Testing a particular range of blocks
As long as block import is run on similar hardware, each run can be saved for future reference using the git hash.
The block import can be run repeatedly with --max-blocks to stop after
processing a number of blocks - by copying the state at that point, one can
resume or replay the import of a particular block range
See make_states.sh for such an example.