Observed Signal · Apr 28, 2026 · Technical Release · Source: DEV Community · Impact: 1/5 · Sentiment: Neutral
logdive: jq-like Local Log Indexer
logdive is an open-source Rust tool (v0.1.0) that provides a single-file, local, queryable index for structured JSON logs. Distributed as a self-contained binary and an optional read-only HTTP API, it ingests logs into a bundled SQLite database, exposes a simple SQL-like query language with AND and time-range operators, and prioritizes single-host, low-infrastructure debugging for backend engineers and small teams. v0.1.0 is JSON-only, omits OR and real-time follow mode, and deliberately leaves authentication and multi-host/distributed indexing to other systems. The project includes performance benchmarks, install options (crates.io, prebuilt binaries, source), and a call for contributions for v2 features.
Small open-source single-host observability tool useful for developer debugging; relevant to engineering teams but not industry-shifting for AdTech/MarTech infrastructure.
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Key Takeaways & Evidence Grounding
- Author Arya Gorjipour released logdive v0.1.0 as a Rust three-crate workspace (logdive-core, logdive, logdive-api).
- logdive is a single-host, self-contained Rust binary that stores logs in an embedded SQLite (rusqlite bundled) database.
- The v0.1.0 query language supports operators (=, !=, >, <, CONTAINS), AND clauses, and time ranges (last/since); OR is intentionally not supported.
- Representative performance: ingestion ~210k lines/sec (batched), parse+insert ~166k lines/sec; release binaries are ~3.7 MB (logdive) and ~4.1 MB (logdive-api).
- Limitations in v0.1.0: JSON-only logs, single-host design, no follow/tail mode, no HTTP API authentication, and unknown JSON-field queries use json_extract (no indexes).
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