Extract minimal, referentially-intact database subsets for local development and debugging.
Copying an entire production database to your machine is infeasible. But reproducing a bug often requires having the exact data that caused it. dbslice solves this by extracting only the records you need, following foreign key relationships to ensure referential integrity.
# Install globally
uv tool install dbslice # or: pip install dbslice
# Extract an order and all related records
dbslice extract postgres://localhost/myapp --seed "orders.id=12345" > subset.sql
# Import into local database
psql -d localdb < subset.sql- Zero-config start -- Introspects schema automatically, no data model file required
- Single command -- Extract complete data subsets with one CLI invocation
- Safe by default -- Auto-detects and anonymizes sensitive fields (emails, phones, SSNs, etc.)
- Compliance profiles -- Built-in GDPR, HIPAA Safe Harbor, and PCI-DSS profiles with two-phase PII scanning
- Column mapping UI -- Local browser UI to visually map columns, apply compliance profiles, and export config
- Multiple output formats -- SQL, JSON, and CSV
- Streaming -- Memory-efficient extraction for large datasets (100K+ rows)
- Virtual foreign keys -- Support for Django GenericForeignKeys and implicit relationships via config
- Config files -- YAML-based configuration for repeatable extractions
- Validation -- Checks referential integrity of extracted data
| Database | Status |
|---|---|
| PostgreSQL | Fully supported |
| MySQL | Planned (not yet implemented) |
| SQLite | Planned (not yet implemented) |
# Install with uv (recommended)
uv add dbslice
# Try without installing
uvx dbslice --help
# Or with pip
pip install dbslice# Extract by primary key
dbslice extract postgres://user:pass@host:5432/db --seed "orders.id=12345"
# Extract with WHERE clause
dbslice extract postgres://localhost/db --seed "orders:status='failed' AND created_at > '2024-01-01'"
# Multiple seeds
dbslice extract postgres://localhost/db \
--seed "orders.id=100" \
--seed "orders.id=101"# Limit depth (default: 3)
dbslice extract postgres://... --seed "orders.id=1" --depth 2
# Direction: up (parents only), down (children only), both (default)
dbslice extract postgres://... --seed "orders.id=1" --direction up# Auto-anonymize detected sensitive fields
dbslice extract postgres://... --seed "users.id=1" --anonymize
# Redact additional fields
dbslice extract postgres://... --seed "users.id=1" --anonymize --redact "audit_logs.ip_address"Map columns visually, apply compliance profiles, and generate a ready-to-use config — all from a local browser UI.
dbslice map postgres://localhost/myapp
# Custom port
dbslice map postgres://localhost/myapp --port 8888
# Also works with uvx (no install needed)
uvx dbslice map postgres://localhost/myapp| Map columns to anonymization rules | Generate and export config |
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Runs on 127.0.0.1:9473 with a one-time session token — no data leaves your machine. Apply GDPR, HIPAA, or PCI-DSS profiles with one click, review what gets masked, then download the YAML.
# HIPAA Safe Harbor — auto-masks all 18 identifier types
dbslice extract postgres://... --seed "patients.id=1" --compliance hipaa --compliance-strict
# Multiple profiles + audit manifest
dbslice extract postgres://... --seed "users.id=1" --compliance gdpr --compliance pci-dss -f subset.sql
# Produces subset.sql + subset.manifest.json# SQL (default)
dbslice extract postgres://... --seed "orders.id=1" --output sql
# JSON fixtures
dbslice extract postgres://... --seed "orders.id=1" --output json --out-file fixtures/
# CSV
dbslice extract postgres://... --seed "orders.id=1" --output csv --out-file data/For relationships not defined in the database schema (Django GenericForeignKeys, implicit relationships):
# dbslice.yaml
database:
url: postgres://localhost:5432/myapp
virtual_foreign_keys:
- source_table: notifications
source_columns: [object_id]
target_table: orders
description: "Generic FK to orders via ContentType"
- source_table: audit_log
source_columns: [user_id]
target_table: users
description: "Implicit FK without DB constraint"dbslice extract --config dbslice.yaml --seed "users.id=1"dbslice inspect postgres://localhost/myapp# Generate config from database
dbslice init postgres://localhost/myapp --out-file dbslice.yaml
# Use config
dbslice extract --config dbslice.yaml --seed "orders.id=12345"- Introspect -- Reads database schema to discover tables and foreign key relationships
- Traverse -- Starting from seed record(s), follows FK relationships via BFS
- Extract -- Fetches all identified records
- Sort -- Topologically sorts tables for correct INSERT order
- Output -- Generates SQL/JSON/CSV with proper escaping
| Feature | dbslice | Jailer | Greenmask | slice-db |
|---|---|---|---|---|
| Language | Python | Java | Go | Ruby |
| Configuration | Zero-config | Requires model file | Config required | Manual YAML |
| Setup time | Seconds | Hours | Medium | Medium |
| Anonymization | Built-in (Faker) | Plugin-based | Advanced transformers | Not available |
| Compliance profiles | GDPR, HIPAA, PCI-DSS | None | None | None |
| Column mapping UI | Built-in (local) | None | None | None |
| PII value scanning | Two-phase (pre/post mask) | None | None | None |
| Subsetting | FK traversal | FK traversal | Limited | FK traversal |
| Output formats | SQL, JSON, CSV | SQL, XML, CSV | SQL | SQL only |
| Cycle handling | Automatic | Manual config | N/A | Manual |
| Streaming | Built-in | Configurable | Built-in | Not available |
| Maintenance | Active | Active | Active | Unmaintained |
dbslice is the lightweight, zero-config Python option: install and extract in under a minute.
git clone https://github.com/nabroleonx/dbslice.git
cd dbslice
uv sync --dev
uv run pytestMIT