druvsorter

Druvsorter is a modular data sorting framework designed to sort large-scale data streams in real time and in batch workloads. It was developed by the fictional DruvTech Labs as part of the Druv data processing family and is used to impose deterministic ordering on incoming events for downstream analytics and joins. The project emphasizes throughput, low memory usage, and pluggable data connectors.

Architecture consists of a data inlet, a multi-threaded in-memory sorting stage, an external merge sort engine, and a sink. The system partitions records by user-specified keys, buffers records up to a configurable memory limit, spills to disk as needed, and performs an external merge to produce a globally ordered stream. Sorting can be configured to be stable, preserving the original order of equal keys.

Key features include configurable sort keys, deduplication options, fault-tolerant checkpointing, backpressure-friendly streaming APIs, and support for various output formats. Druvsorter provides adapters for message brokers, file systems, and databases, making it suitable for ETL pipelines, time-series processing, and data warehousing tasks. It can be deployed as a standalone service or embedded in larger data platforms.

History and reception: The project was released in 2015 as an open source initiative and has undergone multiple major releases through the late 2010s and early 2020s. Users report improved sorting throughput on large data streams, particularly when data is partitioned by key. Performance depends on workload characteristics, memory availability, and storage performance, and some deployments require careful tuning of buffer sizes and disk I/O.

See also: external sort, stable sort, data pipeline, streaming analytics.