# sql-splitter
[](https://crates.io/crates/sql-splitter)
[](https://crates.io/crates/sql-splitter)
[](https://github.com/helgesverre/sql-splitter/actions)
[](LICENSE.md)
[](https://ampcode.com/@helgesverre)
Split large SQL dump files into individual table files. Fast, memory-efficient, multi-dialect.
- **~1 GB/s** end-to-end split throughput on large dumps (0.8–1.4 GB/s across dialects on Apple M2 Max; hardware-dependent)
- **MySQL, PostgreSQL, SQLite, MSSQL** support (including `COPY FROM stdin`, `GO` batches)
- **Compressed files** — gzip, bzip2, xz, zstd, zip (single `.sql` member) auto-detected
- **Streaming architecture** — handles files larger than RAM
- **10x faster** than shell-based alternatives
## Installation
### From crates.io
```bash
cargo install sql-splitter
```
### Cargo features (library consumers)
`sql-splitter` enables all features by default. To reduce dependency footprint:
```toml
sql-splitter = { version = "1", default-features = false }
```
Optional features:
- `compression` (gzip/bzip2/xz/zstd support, for compressed input and per-file output)
- `archive` (single-file `tar.*`/`zip` output, plus `.zip` archive input; implies `compression`)
- `duckdb-query` (enables the `query` command and DuckDB integration)
### From source
```bash
git clone https://github.com/helgesverre/sql-splitter
cd sql-splitter
just install # Installs binary + shell completions + man pages
```
Or download pre-built binaries from [GitHub Releases](https://github.com/helgesverre/sql-splitter/releases).
### Man pages (optional)
After installation, view documentation with `man sql-splitter` or `man sql-splitter-diff`.
For `cargo install` users, install man pages manually:
```bash
git clone https://github.com/helgesverre/sql-splitter
cd sql-splitter
just install-man
```
## Usage
```bash
# MySQL/MariaDB dump (default)
sql-splitter split dump.sql -o tables/
# PostgreSQL pg_dump
sql-splitter split pg_dump.sql -o tables/ --dialect=postgres
# SQLite dump
sql-splitter split sqlite.sql -o tables/ --dialect=sqlite
# MSSQL/T-SQL dump (SSMS "Generate Scripts", sqlcmd)
sql-splitter split mssql_dump.sql -o tables/ --dialect=mssql
# Compressed input (auto-detected)
sql-splitter split backup.sql.gz -o tables/
sql-splitter split backup.sql.zst -o tables/
# Zipped input — a .zip with exactly one .sql member (deflated or stored)
sql-splitter split backup.zip -o tables/
# Compressed output — one compressed file per table (users.sql.zst, ...)
sql-splitter split dump.sql -o tables/ --compress zstd # or gzip, bzip2, xz
# Single-archive output — all tables in one file (format from the extension)
sql-splitter split dump.sql -o dump.tar.gz # .tgz/.tar.zst/.tar.bz2/.tar.xz/.tar
sql-splitter split dump.sql -o dump.zip
# Split specific tables only
sql-splitter split dump.sql --tables users,posts,orders
# Select one schema-qualified table without merging it with namesakes
sql-splitter split postgres_dump.sql --dialect postgres --tables tenant_a.users
# Schema only (CREATE TABLE, indexes, etc.)
sql-splitter split dump.sql -o schema/ --schema-only
# Data only (INSERT/COPY statements)
sql-splitter split dump.sql -o data/ --data-only
# Merge split files back into single dump
sql-splitter merge tables/ -o restored.sql
# Merge specific tables only
sql-splitter merge tables/ -o partial.sql --tables users,orders
# Merge with transaction wrapper
sql-splitter merge tables/ -o restored.sql --transaction
# Analyze without splitting
sql-splitter analyze dump.sql
# Convert between SQL dialects
sql-splitter convert mysql_dump.sql -o postgres_dump.sql --to postgres
sql-splitter convert pg_dump.sql -o mysql_dump.sql --to mysql
sql-splitter convert dump.sql -o sqlite_dump.sql --to sqlite
sql-splitter convert mssql_dump.sql -o mysql_dump.sql --to mysql
# Convert with explicit source dialect
sql-splitter convert dump.sql --from postgres --to mysql -o output.sql
sql-splitter convert dump.sql --from mssql --to postgres -o output.sql
# Validate SQL dump integrity
sql-splitter validate dump.sql
# Validate with strict mode (warnings = errors)
sql-splitter validate dump.sql --strict
# Validate with JSON output for CI
sql-splitter validate dump.sql --json
# Batch operations with glob patterns
sql-splitter validate "dumps/*.sql" --fail-fast
sql-splitter analyze "**/*.sql"
sql-splitter split "*.sql" -o output/
sql-splitter convert "*.sql" --to postgres -o converted/
# Compare two SQL dumps for changes
sql-splitter diff old.sql new.sql
# Diff with schema-only or data-only
sql-splitter diff old.sql new.sql --schema-only
sql-splitter diff old.sql new.sql --data-only
# Diff with JSON or SQL migration output
sql-splitter diff old.sql new.sql --format json -o diff.json
sql-splitter diff old.sql new.sql --format sql -o migration.sql
# Diff with verbose PK samples and ignore timestamp columns
sql-splitter diff old.sql new.sql --verbose --ignore-columns "*.updated_at,*.created_at"
# Override primary key for tables without PK
sql-splitter diff old.sql new.sql --primary-key logs:timestamp+message
# Redact sensitive data using inline patterns
sql-splitter redact dump.sql -o safe.sql --null "*.ssn" --hash "*.email" --fake "*.name"
# Redact using YAML config file
sql-splitter redact dump.sql -o safe.sql --config redact.yaml
# Generate redaction config by analyzing input file
sql-splitter redact dump.sql --generate-config -o redact.yaml
# Reproducible redaction with seed
sql-splitter redact dump.sql -o safe.sql --null "*.password" --seed 42
# Generate synthetic SQL directly from a dump (profile, infer, generate)
sql-splitter generate production.sql -o synthetic.sql
# Emit an editable model instead of SQL, then generate from it later
sql-splitter generate production.sql --emit-config synthetic.yaml
sql-splitter generate --config synthetic.yaml -o synthetic.sql
# Generate from a model only, no source dump
sql-splitter generate --config synthetic.yaml -o synthetic.sql
# Apply overrides, freeze the resolved model, and scale row counts
sql-splitter generate production.sql --config overrides.yaml \
--emit-config resolved.yaml --scale 0.1 -o synthetic.sql
# Validate a model, or generate/audit/publish atomically
sql-splitter generate --config synthetic.yaml --check
sql-splitter generate --config synthetic.yaml --verify -o synthetic.sql
# Generate ERD (Entity-Relationship Diagram)
sql-splitter graph dump.sql -o schema.html # Interactive HTML (default)
sql-splitter graph dump.sql -o schema.dot # Graphviz DOT format
sql-splitter graph dump.sql -o schema.mmd # Mermaid erDiagram
sql-splitter graph dump.sql -o schema.json # JSON with full schema details
# Graph with filtering
sql-splitter graph dump.sql --tables "user*,order*" -o filtered.html
sql-splitter graph dump.sql --exclude "log*,audit*" -o clean.html
sql-splitter graph dump.sql --cycles-only # Only tables in circular dependencies
# Focus on specific table and its relationships
sql-splitter graph dump.sql --table orders --transitive # Show all dependencies
sql-splitter graph dump.sql --table users --reverse # Show all dependents
# Reorder SQL dump in topological FK order
sql-splitter order dump.sql -o ordered.sql # Safe import order
sql-splitter order dump.sql --check # Check for cycles
sql-splitter order dump.sql --reverse # Reverse (for DROP operations)
# Query SQL dumps with DuckDB analytics engine
sql-splitter query dump.sql "SELECT COUNT(*) FROM users"
sql-splitter query dump.sql "SELECT * FROM orders WHERE total > 100" -f json
sql-splitter query dump.sql "SELECT * FROM users LIMIT 10" -o results.csv -f csv
sql-splitter query dump.sql --interactive # Start REPL session
sql-splitter query huge.sql "SELECT ..." --disk # Use disk mode for large files
# Query with caching for repeated queries
sql-splitter query dump.sql "SELECT ..." --cache # Cache imported database
sql-splitter query --list-cache # Show cached databases
sql-splitter query --clear-cache # Clear all cached databases
# Generate shell completions (auto-installed with just install)
sql-splitter completions bash >> ~/.bashrc
sql-splitter completions zsh >> ~/.zshrc
sql-splitter completions fish >> ~/.config/fish/completions/sql-splitter.fish
```
### Shell Completions
Shell completions are automatically installed when using `just install`. For manual installation:
```bash
# Install for current shell only
just install-completions
# Install for all shells (bash, zsh, fish)
just install-completions-all
```
## Why sql-splitter?
sql-splitter is a **dump-first, CLI-first** tool designed for automation and CI/CD pipelines.
**What it's optimized for**
| Strength | Description |
| ------------------------------ | ---------------------------------------------------------------------------------- |
| **One tool for the workflow** | Split → sample → shard → convert → merge in a single binary |
| **Works on dump files** | No running database or JDBC connection needed (unlike mydumper, Jailer, Condenser) |
| **Streaming architecture** | 10GB+ dumps with bounded memory, ~1 GB/s split throughput |
| **Multi-dialect + conversion** | MySQL, PostgreSQL, SQLite including `COPY FROM stdin` → INSERT |
| **FK-aware operations** | Sampling and tenant sharding preserve referential integrity |
**When another tool might be better**
- **[mydumper](https://github.com/mydumper/mydumper)** — Parallel snapshots from live MySQL/MariaDB databases
- **[Jailer](https://github.com/Wisser/Jailer)** — Rich GUI-based FK subsetting with JDBC across 12+ databases
- **[sqlglot](https://github.com/tobymao/sqlglot)** — Query-level transpilation and AST manipulation (31 dialects)
- **[DuckDB](https://github.com/duckdb/duckdb)** — Complex analytical queries over SQL/CSV/JSON/Parquet
See [docs/COMPETITIVE_ANALYSIS.md](docs/COMPETITIVE_ANALYSIS.md) for detailed comparisons.
## Options
### Split Options
| Flag | Description | Default |
| ---------------- | ----------------------------------------------------------- | ----------- |
| `-o, --output` | Output directory, or an archive path (`.tar.gz`, `.zip`, …) | `output` |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `-t, --tables` | Only split these tables (comma-separated) | — |
| `--compress` | Compress each output file: `gzip`, `zstd`, `bzip2`, `xz` | `none` |
| `--io-strategy` | Output device I/O strategy: `auto`, `ssd`, `hdd`, `cheap` | `auto` |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--schema-only` | Only DDL statements (CREATE, ALTER, DROP) | — |
| `--data-only` | Only DML statements (INSERT, COPY) | — |
| `--fail-fast` | Stop on first error (for glob patterns) | — |
| `--json` | Output results as JSON | — |
Input can be a file path or glob pattern (e.g., `*.sql`, `dumps/**/*.sql`),
plain or compressed (`.gz`/`.bz2`/`.xz`/`.zst`), or a `.zip` archive
containing exactly one `.sql` member (deflated or stored; junk entries like
`__MACOSX/` and `.DS_Store` are ignored). This applies to every command that
reads a dump, not just `split`.
**Output formats.** By default `split` writes one plain `
.sql` per table.
`--compress ` instead writes one _compressed_ file per table
(`.sql.gz`/`.zst`/`.bz2`/`.xz`) — useful for archival or transfer; each
file compresses independently and in parallel. Alternatively, give `-o` an
archive path (`dump.tar.gz`, `.tgz`, `.tar.zst`, `.tar.bz2`, `.tar.xz`, `.tar`,
or `.zip`) to pack **all** tables into a single archive of `.sql`
entries. Archive output requires a single input file, and `--compress` applies
only to directory output (for an archive the codec comes from the extension).
**Slow output devices.** The write path is tuned for SSDs by default. When the
output lands on a spinning disk, USB stick, or network mount, `--io-strategy
auto` (the default) detects it — a quick startup probe plus runtime
backpressure monitoring — and adjusts how writes are scheduled. In our tests
on a single USB 3.0 spinning drive (ExFAT), this ran roughly 1.5–2.5× faster
than the SSD settings; treat that as indicative for similar hardware, not a
guarantee — the gain depends on the device, filesystem, and workload.
The profiles aren't magic — they set three concrete knobs (writer thread
count, write size, staging memory), and every profile produces byte-identical
output. Pin one when you already know the target device:
| Profile | Writers | Write size | Staging | Built for |
| ------- | ------- | ----------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| `ssd` | up to 4 | 256 KB | 32 MB | SSD/NVMe — high-IOPS devices that like many small parallel writes |
| `hdd` | 1 | up to 64 MB | 256 MB | Spinning disks — one writer avoids competing seeks; big sequential writes amortize head movement |
| `cheap` | 1 | up to 64 MB | 512 MB | Cheap USB flash, network mounts — every write _operation_ is expensive regardless of locality, so issue the fewest, largest ones. (Also answers to `potato`.) |
| `auto` | adapts | adapts | adapts | Unknown targets — probes the output dir at startup, then switches between the profiles above based on observed backpressure |
### Merge Options
| Flag | Description | Default |
| ---------------- | ----------------------------------------- | ------- |
| `-o, --output` | Output SQL file | stdout |
| `-d, --dialect` | SQL dialect for headers/footers | `mysql` |
| `-t, --tables` | Only merge these tables (comma-separated) | all |
| `-e, --exclude` | Exclude these tables (comma-separated) | — |
| `--transaction` | Wrap in BEGIN/COMMIT transaction | — |
| `--no-header` | Skip header comments | — |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--json` | Output results as JSON | — |
### Analyze Options
| Flag | Description | Default |
| ---------------- | --------------------------------------------------- | ----------- |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `-p, --progress` | Show progress bar | — |
| `--fail-fast` | Stop on first error (for glob patterns) | — |
| `--json` | Output results as JSON | — |
Input can be a file path or glob pattern (e.g., `*.sql`, `dumps/**/*.sql`).
### Convert Options
| Flag | Description | Default |
| ---------------- | ---------------------------------------------------------- | ------------ |
| `-o, --output` | Output SQL file or directory (required for glob) | stdout |
| `--from` | Source dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--to` | Target dialect: `mysql`, `postgres`, `sqlite`, `mssql` | required |
| `--strict` | Fail on any unsupported feature | — |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--fail-fast` | Stop on first error (for glob patterns) | — |
| `--enum-naming` | MySQL→PostgreSQL enum type names: `per-column` or `dedupe` | `per-column` |
| `--json` | Output results as JSON | — |
Input can be a file path or glob pattern (e.g., `*.sql`, `dumps/**/*.sql`).
**Supported conversions (12 pairs):**
- MySQL ↔ PostgreSQL (including COPY → INSERT)
- MySQL ↔ SQLite
- MySQL ↔ MSSQL
- PostgreSQL ↔ SQLite
- PostgreSQL ↔ MSSQL
- SQLite ↔ MSSQL
**Features:**
- 50+ data type mappings
- AUTO_INCREMENT ↔ SERIAL ↔ INTEGER PRIMARY KEY ↔ IDENTITY
- PostgreSQL COPY → INSERT with NULL and escape handling
- Session command stripping
- Semantic-preserving ENUM declaration conversion between MySQL and PostgreSQL (`ENUM(...)` ↔ `CREATE TYPE ... AS ENUM`); arrays and targets without native enums use a documented lossy fallback with a warning
- Warnings for unsupported features (arrays, triggers, PostgreSQL-only DDL)
### Validate Options
| Flag | Description | Default |
| ---------------------- | --------------------------------------------------- | ----------- |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--strict` | Treat warnings as errors (exit 1) | — |
| `--json` | Output results as JSON | — |
| `--max-rows-per-table` | Max rows per table for PK/FK checks (0 = no limit) | 1,000,000 |
| `--no-limit` | Disable row limit for PK/FK checks | — |
| `--no-fk-checks` | Skip PK/FK data integrity checks | — |
| `-p, --progress` | Show progress bar | — |
| `--fail-fast` | Stop on first error (for glob patterns) | — |
Input can be a file path or glob pattern (e.g., `*.sql`, `dumps/**/*.sql`).
**Validation checks:**
- SQL syntax validation (parser errors)
- DDL/DML consistency (INSERTs reference existing tables)
- Encoding validation (UTF-8)
- Duplicate primary key detection (all dialects)
- FK referential integrity (all dialects)
### Sample Options
| Flag | Description | Default |
| ---------------------- | --------------------------------------------------- | ----------- |
| `-o, --output` | Output SQL file | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--percent` | Sample percentage (1-100) | — |
| `--rows` | Sample fixed number of rows per table | — |
| `--preserve-relations` | Preserve FK relationships | — |
| `-t, --tables` | Only sample these tables (comma-separated) | all |
| `-e, --exclude` | Exclude these tables (comma-separated) | — |
| `--root-tables` | Explicit root tables for sampling | — |
| `--include-global` | Global table handling: `none`, `lookups`, `all` | `lookups` |
| `--seed` | Random seed for reproducibility | random |
| `-c, --config` | YAML config file for per-table settings | — |
| `--max-total-rows` | Maximum total rows to sample (0 = no limit) | — |
| `--no-limit` | Disable row limit | — |
| `--strict-fk` | Fail if any FK integrity issues detected | — |
| `--no-schema` | Exclude CREATE TABLE statements from output | — |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--json` | Output results as JSON | — |
### Shard Options
| Flag | Description | Default |
| --------------------- | --------------------------------------------------- | ----------- |
| `-o, --output` | Output SQL file or directory | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--tenant-column` | Column name for tenant identification | auto-detect |
| `--tenant-value` | Single tenant value to extract | — |
| `--tenant-values` | Multiple tenant values (comma-separated) | — |
| `--root-tables` | Explicit root tables with tenant column | — |
| `--include-global` | Global table handling: `none`, `lookups`, `all` | `lookups` |
| `-c, --config` | YAML config file for table classification | — |
| `--max-selected-rows` | Maximum rows to select (0 = no limit) | — |
| `--no-limit` | Disable row limit | — |
| `--strict-fk` | Fail if any FK integrity issues detected | — |
| `--no-schema` | Exclude CREATE TABLE statements from output | — |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--json` | Output results as JSON | — |
### Diff Options
| Flag | Description | Default |
| ------------------ | ------------------------------------------------------------ | ----------- |
| `-o, --output` | Output file (default: stdout) | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--schema-only` | Compare schema only, skip data | — |
| `--data-only` | Compare data only, skip schema | — |
| `--format` | Output format: `text`, `json`, `sql` | `text` |
| `-t, --tables` | Only compare these tables (comma-separated) | all |
| `-e, --exclude` | Exclude these tables (comma-separated) | — |
| `--max-pk-entries` | Max PK entries to track (0 = no limit) | 10,000,000 |
| `-v, --verbose` | Show sample PK values for added/removed/modified rows | — |
| `--primary-key` | Override PK for tables (format: `table:col1+col2`) | auto-detect |
| `--ignore-order` | Ignore column order differences in schema comparison | — |
| `--ignore-columns` | Ignore columns matching glob patterns (e.g., `*.updated_at`) | — |
| `--allow-no-pk` | Compare tables without PK using all columns as key | — |
| `-p, --progress` | Show progress bar | — |
**What diff detects:**
- Tables added/removed/modified (columns, types, nullability)
- Primary key changes
- Foreign key changes
- Index changes (CREATE INDEX, inline INDEX/KEY)
- Rows added/removed/modified (via PK-based comparison)
**Output formats:**
- `text`: Human-readable summary with optional PK samples
- `json`: Structured data for automation (includes warnings)
- `sql`: Migration script with ALTER/CREATE INDEX/DROP INDEX statements
### Graph Options
| Flag | Description | Default |
| ---------------- | ------------------------------------------------------ | ----------- |
| `-o, --output` | Output file (html, dot, mmd, json, png, svg, pdf) | stdout |
| `--format` | Output format: `html`, `dot`, `mermaid`, `json` | auto-detect |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--layout` | Layout direction: `lr` (left-right), `tb` (top-bottom) | `lr` |
| `-t, --tables` | Only include tables matching glob patterns | all |
| `-e, --exclude` | Exclude tables matching glob patterns | — |
| `--table` | Focus on a specific table | — |
| `--transitive` | Show all dependencies of focused table | — |
| `--reverse` | Show all tables that depend on focused table | — |
| `--max-depth` | Limit traversal depth | unlimited |
| `--cycles-only` | Only show tables in circular dependencies | — |
| `--render` | Render DOT to PNG/SVG/PDF using Graphviz | — |
| `-p, --progress` | Show progress bar | — |
| `--json` | Output as JSON | — |
**Output formats:**
- `html`: Interactive diagram with dark/light theme, copy Mermaid button
- `dot`: Graphviz DOT with ERD-style tables (columns, types, PK/FK markers)
- `mermaid`: Mermaid erDiagram syntax
- `json`: Full schema with tables, columns, relationships, and stats
- `png`/`svg`/`pdf`: Rendered image (requires Graphviz `dot` command)
### Order Options
| Flag | Description | Default |
| --------------- | --------------------------------------------------- | ----------- |
| `-o, --output` | Output SQL file | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `--check` | Check for cycles and report order (don't write) | — |
| `--dry-run` | Show topological order without writing | — |
| `--reverse` | Reverse order (children before parents, for DROP) | — |
### Redact Options
| Flag | Description | Default |
| ------------------- | ------------------------------------------------------- | ----------- |
| `-o, --output` | Output SQL file | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `-c, --config` | YAML config file for redaction rules | — |
| `--generate-config` | Analyze input and generate annotated YAML config | — |
| `--null` | Columns to set to NULL (glob patterns, comma-separated) | — |
| `--hash` | Columns to hash with SHA256 (glob patterns) | — |
| `--fake` | Columns to replace with fake data (glob patterns) | — |
| `--mask` | Columns to partially mask (format: `pattern=column`) | — |
| `--constant` | Column=value pairs for constant replacement | — |
| `--seed` | Random seed for reproducible redaction | random |
| `--locale` | Locale for fake data (en, de_de, fr_fr, etc.) | `en` |
| `-t, --tables` | Only redact specific tables (comma-separated) | all |
| `-e, --exclude` | Exclude specific tables (comma-separated) | — |
| `--strict` | Fail on warnings (e.g., unsupported locale) | — |
| `-p, --progress` | Show progress bar | — |
| `--dry-run` | Preview without writing files | — |
| `--json` | Output results as JSON | — |
| `--validate` | Validate config only, don't process | — |
**Redaction strategies:**
- `null`: Replace value with NULL
- `constant`: Replace with fixed value
- `hash`: SHA256 hash (deterministic, preserves FK relationships)
- `mask`: Partial masking with pattern (`*`=asterisk, `X`=keep, `#`=random digit)
- `fake`: Generate realistic fake data (25+ generators)
- `skip`: No redaction (passthrough)
`shuffle` rules are rejected. They require a two-pass rewrite to avoid emitting
the original values, which is not implemented yet.
**Fake data generators:**
`email`, `name`, `first_name`, `last_name`, `phone`, `address`, `city`, `state`, `zip`, `country`, `company`, `job_title`, `username`, `url`, `ip`, `ipv6`, `uuid`, `date`, `datetime`, `credit_card`, `iban`, `ssn`, `lorem`, `paragraph`, `sentence`
### Generate Options
`generate` produces **synthetic**, not anonymized, SQL data — from a hand-authored YAML model, a profiled dump, or both. See the [complete generate documentation](https://sql-splitter.dev/commands/generate/) for the model language, generator/modifier/planner catalogs, inference, privacy, verification, diagnostics, and library API.
| Flag | Description | Default |
| ------------------------------- | -------------------------------------------------------------------------------------------- | --------------------- |
| `[INPUT]` | SQL dump or schema to profile (optional with a complete model) | — |
| `-c, --config` | `kind: model` or `kind: overrides` YAML document | — |
| `--emit-config` | Write the resolved model as YAML instead of generating | — |
| `-o, --output` | Output SQL file; `-` for stdout | stdout |
| `--profile-depth` | Profiling depth: `basic`, `full` | `basic` |
| `--profile-sample` | Retained sample capacity per column while profiling | `1000` |
| `--input-dialect` | Dialect of `[INPUT]`, if profiling | auto-detect |
| `--dialect` | Output SQL dialect | preserve source/model |
| `--scale` | Global multiplicative row-count scale | — |
| `--rows` | Global absolute root row count | — |
| `--table-rows` | Per-table absolute row-count override (`table=count`, repeatable) | — |
| `--table-scale` | Per-table row-count scale override (`table=factor`, repeatable) | — |
| `--max-rows` | Cap applied last to every table, including family-planner child rows | — |
| `--tables` | Only generate these tables (comma-separated globs) | all |
| `--exclude` | Exclude these tables (comma-separated globs) | none |
| `--seed` | Run root seed, overriding the model's own `seed:` | — |
| `--randomize` | Use a fresh random seed instead of the model's | — |
| `--schema-only` / `--data-only` | Render only DDL, or only row data | both |
| `--batch-size` | Rows per `INSERT`/`COPY` batch | `1000` |
| `--no-copy` | Force multi-row `INSERT` for PostgreSQL instead of `COPY` | — |
| `--mssql-production-style` | `[dbo].` names, named clustered PK, `ON [PRIMARY]`, ANSI header (requires `--dialect mssql`) | — |
| `--mssql-go` | Emit `GO` every N INSERT batches (requires `--dialect mssql`) | — |
| `--check` | Validate the model and exit; writes no SQL | — |
| `--dry-run` | Compile and report resolved row counts; writes no SQL | — |
| `--verify` | Generate to protected temp storage, audit, then publish atomically | — |
| `--explain` | Include inference reason/confidence/precedence in the report | — |
| `--strict` | Treat model warnings as errors | — |
| `--json` | Output the report as JSON (owns stdout) | — |
| `--quiet` | Suppress the non-JSON summary report | — |
### Query Options
| Flag | Description | Default |
| ------------------- | ----------------------------------------------------- | ----------- |
| `-f, --format` | Output format: `table`, `json`, `jsonl`, `csv`, `tsv` | `table` |
| `-o, --output` | Write output to file instead of stdout | stdout |
| `-d, --dialect` | SQL dialect: `mysql`, `postgres`, `sqlite`, `mssql` | auto-detect |
| `-i, --interactive` | Start interactive REPL session | — |
| `--disk` | Use disk-based storage (for large dumps >2GB) | auto |
| `--cache` | Cache imported database for repeated queries | — |
| `-t, --tables` | Only import specific tables (comma-separated) | all |
| `--memory-limit` | Memory limit for DuckDB (e.g., "4GB") | — |
| `--timing` | Show query execution time | — |
| `-p, --progress` | Show import progress | — |
| `--list-cache` | List cached databases | — |
| `--clear-cache` | Clear all cached databases | — |
**REPL commands:**
- `.tables` — List all tables
- `.schema [table]` — Show schema (all tables or specific table)
- `.describe ` — Describe a specific table
- `.format ` — Set output format (table, json, csv, tsv)
- `.count ` — Count rows in a table
- `.sample [n]` — Show sample rows (default: 10)
- `.export ` — Export query results to file
- `.exit` — Exit the REPL
## Performance
See [BENCHMARKS.md](BENCHMARKS.md) for detailed comparisons.
## Testing
```bash
# Unit tests
cargo nextest run
# Verify against real-world SQL dumps (MySQL, PostgreSQL, WordPress, etc.)
just verify-realworld
```
## AI Agent Integration
sql-splitter includes documentation optimized for AI agents:
- **[llms.txt](https://sql-splitter.dev/llms.txt)** - Generated LLM-friendly documentation following the [llmstxt.org](https://llmstxt.org) specification
- **[Agent Skill](skills/sql-splitter/SKILL.md)** - Claude Code / Amp skill for automatic tool discovery
Install the skill in Claude Code / Amp:
```bash
amp skill add helgesverre/sql-splitter
```
## License
MIT — see [LICENSE.md](LICENSE.md)