Package and access data on Amazon S3 in a squash manner
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Updated
Aug 6, 2023 - Rust
Package and access data on Amazon S3 in a squash manner
A file uploader specialized for uploading many small files onto HDFS
PySpark script to aggregate small parquet files in a prefix into larger files. Designed to be run on AWS Glue
Production-grade Zstd dictionary compression microservice for small JSON APIs. Solves frame overhead & schema drift with trained dictionaries, versioned registries, and dual-signal drift monitoring. 75%+ savings on disjoint holdouts.
Read-only Delta Lake table health scanner with safe fix plans for Databricks, Python, and PySpark.
Read-only "small-file tax" analyzer for Delta Lake. Reads only the _delta_log to reconstruct the per-partition file-size distribution, then prices the wasted compute and S3 requests in dollars using real Spark internals (openCostInBytes, maxPartitionBytes) and emits a compaction plan with ROI and payback plus the OPTIMIZE SQL. Never runs OPTIMIZE.
Command Line Hangman/Word Guessing game.
antfs: a distributed blob storage system in Rust, purpose-built for massive small files. Inspired by Ambry / SeaweedFS / CubeFS — append-only log + index for O(1) small-file I/O, built-in Raft control plane, REST API, admin dashboard.
File merge action to merge files in HDFS or local filesystem
Fast multithreaded archiver for massive numbers of small files, optimized for cloud object storage
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