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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

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