Bltools V2.2 -
#bltools #bltoolsV2 #DataEngineering #ETL #OpenSource
rules: - field: email validate: MATCHES_REGEX ^\S+@\S+\.\S+$ on_fail: reject - field: age validate: BETWEEN 0 AND 120 on_fail: default(18) Run: bltools v2.2
| Operation | v2.1 (single-thread) | v2.2 (parallel) | Improvement | |--------------------|----------------------|-----------------|--------------| | Filter + 5 rules | 28 min 40 sec | 6 min 12 sec | | | Format conversion | 18 min 22 sec | 4 min 05 sec | 4.5x | | Schema validation | 32 min 10 sec | 7 min 48 sec | 4.1x | One standout feature in bltools v2
In the fast-evolving landscape of data transformation, ETL (Extract, Transform, Load) processes, and business logic automation, staying updated with the right tools is crucial. For data engineers, analysts, and DevOps professionals who rely on lightweight, scriptable utilities, the release of bltools v2.2 marks a significant milestone. and business logic automation
bltools transform --input weekly_data --state process.state --resume For reproducible pipelines, use the official bltools v2.2 container:
bltools validate --input users.csv --rules rules.yaml --output valid_users.csv v2.2’s strict mode will generate a errors.log with precise line numbers. One standout feature in bltools v2.2 is handling schema drift. Using the new --schema flag:
