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Project description
Eth-Lake
A Python library for extracting Ethereum blockchain data directly into Parquet.
Installation
pip install eth-lake
Usage
Bulk Extraction (Pipeline)
Fetch a range of blocks concurrently and write them as Parquet files to a specific directory.
import eth_lake
import asyncio
RPC_URL = "https://eth.llamarpc.com"
async def main():
# Extract blocks 18M to 18M+50 with 20 concurrent workers
result = await eth_lake.extract_range(
rpc_url=RPC_URL,
start=18000000,
end=18000050,
output_dir="./data",
concurrency=20
)
print(result)
#**Note**: Free RPC providers (LlamaRPC, etc.) aggressively throttle concurrent requests.
#> For reliable extraction on free tiers, reduce `concurrency=1`. Production workloads
#> should use paid providers (Alchemy/Infura) with higher rate limits.
if __name__ == "__main__":
asyncio.run(main())
Single Block Fetch
Fetch a single block for inspection or debugging.
file_path = await eth_lake.fetch_block_arrow(
rpc_url=RPC_URL,
block_number=19000000,
output_path="block_19000000.parquet"
)
Utilities
Check the current chain height before starting a job.
tip = await eth_lake.get_latest_block(RPC_URL)
Output
The library produces standard Parquet files containing the following schema:
number(UInt64)hash(Utf8)parent_hash(Utf8)
License
MIT License
Project details
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