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ClickHouse Operations CLI — health checks, data quality profiling, and observability

Project description

chops

ClickHouse Operations CLI — health checks, data quality profiling, and observability from your terminal.

No more copy-pasting system table queries. One command to check cluster health, profile data quality, or find slow queries.

Quick Start

# Run directly with uvx (no install needed)
uvx chops health summary

# Or install with pip
pip install chops

Configuration

Set environment variables or pass flags:

export CLICKHOUSE_HOST=localhost
export CLICKHOUSE_PORT=8123
export CLICKHOUSE_USER=default
export CLICKHOUSE_PASSWORD=

Or use flags: chops --host myserver --user admin health summary

Commands

Health & Observability

Command Description
chops health summary Cluster overview: version, uptime, databases, tables, parts, merges, queries
chops health table-sizes Disk usage by table, sorted by size
chops health slow-queries Top N slowest queries from query log
chops health merges Currently running merge operations
chops health running-queries Active queries with elapsed time and memory

Data Quality

Command Description
chops dq profile <table> Column-level profiling: null rates, cardinality, min/max
chops dq check <table> Run quality checks with configurable thresholds (CI-friendly exit codes)
chops dq freshness <table> Time since last row — OK/WARNING/CRITICAL with exit codes

Examples

# Quick cluster health check
chops health summary

# Find which tables are eating disk
chops health table-sizes --limit 10

# Slowest queries in the last 6 hours
chops health slow-queries --hours 6

# Profile a table's data quality
chops dq profile mydb.events

# Run quality checks in CI (non-zero exit on failure)
chops dq check mydb.events --max-null-pct 5 --min-rows 1000

# Check if a streaming table is still receiving data
chops dq freshness mydb.events --warn 60 --critical 1440

# JSON output for automation
chops dq profile mydb.events --output json

CI/CD Integration

chops dq check and chops dq freshness return non-zero exit codes on failure, making them usable in CI pipelines:

- name: Data quality gate
  run: |
    chops dq check production.orders --max-null-pct 2 --min-rows 10000
    chops dq freshness production.orders --warn 30 --critical 120

Development

git clone https://github.com/antonio-mello-ai/chops.git
cd chops
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"

# Run tests
pytest

# Lint
ruff check src/ tests/

# Type check
mypy src/

License

MIT

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