Parses application logs containing signature messages and loads them into SQLite for querying. Designed to handle large log volumes (10GB+ per day) with batched inserts and efficient parsing.

Features

Parse signature: messages extracting app info, device details, and feature flags
Support for both plain .log and gzip compressed .log.gz files
File discovery by date range using YYYY/mm/dd directory structure
Batched inserts for performance with large files
Indexed columns (session_id, version) for efficient queries
Extensible parser architecture for adding new message types

Installation

cargo build --release

Usage

Process a single file

log_ingest --file /path/to/logs.log --output output.db

Process a date range

log_ingest \
  --from 2026/01/20 \
  --to 2026/01/21 \
  --base-dir /var/log/myapp \
  --filename app.log \
  --output output.db

The tool will look for files at <base-dir>/YYYY/MM/DD/<filename>.gz or <base-dir>/YYYY/MM/DD/<filename> for each day in the range.

Options

Option	Description
`--file <PATH>`	Single log file to process
`--from <DATE>`	Start date (YYYY/mm/dd)
`--to <DATE>`	End date (YYYY/mm/dd)
`--base-dir <PATH>`	Base directory containing log files
`--filename <NAME>`	Log filename (e.g., `app.log`)
`-o, --output <PATH>`	Output SQLite database path
`--batch-size <N>`	Batch size for inserts (default: 10000)

Database Schema

CREATE TABLE signature_entries (
    id INTEGER PRIMARY KEY AUTOINCREMENT,
    session_id TEXT NOT NULL,
    timestamp TEXT NOT NULL,
    app TEXT NOT NULL,
    version TEXT NOT NULL,
    offline_login_usage INTEGER NOT NULL,
    is_password_autofill_enabled INTEGER NOT NULL,
    camera_roll_usage INTEGER NOT NULL,
    os TEXT NOT NULL,
    app_name TEXT NOT NULL,
    touch_id INTEGER NOT NULL,
    is_offline_login_enabled INTEGER NOT NULL,
    model TEXT NOT NULL,
    device TEXT NOT NULL,
    password_autofill_usage INTEGER NOT NULL
);

CREATE INDEX idx_session_id ON signature_entries(session_id);
CREATE INDEX idx_version ON signature_entries(version);

Example Queries

-- Percentage of users with password autofill enabled
SELECT
    ROUND(100.0 * SUM(is_password_autofill_enabled) / COUNT(*), 2) as pct
FROM signature_entries;

-- Count by app version
SELECT version, COUNT(*) as cnt
FROM signature_entries
GROUP BY version
ORDER BY cnt DESC;

-- Device breakdown
SELECT device, COUNT(*) as cnt
FROM signature_entries
GROUP BY device;

Development

# Build
cargo build

# Run tests
cargo test

# Format
cargo fmt

# Lint
cargo clippy

License

MIT