Memory consumption is also improved by approximately 20% due to streaming optimizations. Tip 1: Use Pipes for Zero-Intermediate Files cat huge_log.csv | bltools filter --condition "status_code == 200" | bltools convert --to jsonl > clean.log v2.2’s streaming mode detects pipes automatically and disables parallelization for safe FIFO handling. Tip 2: Incremental Processing with State Files The new --state flag allows you to resume interrupted jobs:
bltools migrate --old-config ./rules_v1.yaml --new-config ./rules_v2.yaml Using a 50 GB CSV file with 500 million rows, on an 8-core/16-thread server:
bltools transform --input weekly_data --state process.state --resume For reproducible pipelines, use the official bltools v2.2 container:
#bltools #bltoolsV2 #DataEngineering #ETL #OpenSource