@memberjunction/sql-converter

Overview

A production-grade SQL dialect conversion pipeline that converts SQL Server (T-SQL) to PostgreSQL. The pipeline uses a rule-based architecture where each SQL statement type is handled by a specialized conversion rule, producing deterministic, executable PostgreSQL output.

Current status: 0 errors across the v5.0 baseline (273 stored procedures) + 6 incremental migrations. 465 unit tests passing.

Key Features

• Rule-based conversion with 11 specialized rules
• Statement classification (27 distinct types)
• Context-aware conversion (CREATE TABLE column types inform INSERT boolean casting)
• Ordered output grouping (Tables -> FKs -> Views -> Functions -> Triggers -> Data -> Grants -> Comments)
• Global post-processing with 25+ transformations
• Database verification and cross-database audit
• LLM fallback for unhandled patterns

Architecture

flowchart TD
    A[SQL Server File] --> B[Preprocess
Flyway placeholders]
    B --> C[Split on GO
Batch separator]
    C --> D[SubSplitter
Compound batches]
    D --> E[StatementClassifier
27 statement types]
    E --> F{Statement Type}
    F -->|SKIP_*| G[Skip / Discard]
    F -->|Convertible| H[Match Rules
by AppliesTo]
    H --> I[PreProcess Phase]
    I --> J{BypassSqlglot?}
    J -->|Yes| K[Rule handles
full conversion]
    J -->|No| L[sqlglot transpile]
    L --> M[PostProcess Phase]
    K --> N[Route to
OutputGroup]
    M --> N
    N --> O[Assemble Groups
in dependency order]
    O --> P[PostProcessor
Global cleanup]
    P --> Q[PostgreSQL Output]
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Quick Start

Installation

npm install @memberjunction/sql-converter
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CLI Usage

npx mj sql-convert --source migrations/v5/Baseline.sql --output migrations/pg/Baseline_PG.sql
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Programmatic Usage

import { convertFile, getTSQLToPostgresRules } from '@memberjunction/sql-converter';

const result = convertFile({
  Source: 'path/to/input.sql',
  SourceIsFile: true,
  OutputFile: 'path/to/output.sql',
  Rules: getTSQLToPostgresRules(),
  OnProgress: (msg) => console.log(msg),
});

console.log(`Converted ${result.Stats.Converted} of ${result.Stats.TotalBatches} batches`);
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Pipeline Deep Dive

sequenceDiagram
    participant F as File Input
    participant P as Preprocessor
    participant S as Splitter
    participant SS as SubSplitter
    participant C as Classifier
    participant R as Rules Engine
    participant G as Output Groups
    participant PP as PostProcessor
    participant O as Output

    F->>P: Raw SQL (replace ${flyway:defaultSchema} with __mj)
    P->>S: Processed SQL
    S->>SS: GO-separated batches
    SS->>C: Sub-split individual statements

    loop For each statement
        C->>R: StatementType + SQL
        alt SKIP type
            R-->>G: Discard
        else Has matching rule
            R->>R: PreProcess (if defined)
            alt BypassSqlglot = true
                R->>R: PostProcess(original, original, context)
            else BypassSqlglot = false
                R->>R: sqlglot transpile
                R->>R: PostProcess(transpiled, original, context)
            end
            R->>G: Route to appropriate group
        end
    end

    G->>PP: Assembled output (Tables, FKs, Views, ...)
    PP->>O: Final PostgreSQL SQL
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Rule System

How Rules Work

Each rule implements IConversionRule:

interface IConversionRule {
  Name: string;                  // Display name
  AppliesTo: StatementType[];    // Which statement types
  Priority: number;              // Lower = runs first
  BypassSqlglot?: boolean;       // Skip sqlglot transpilation
  PreProcess?(sql: string, context: ConversionContext): string;
  PostProcess?(sql: string, originalSQL: string, context: ConversionContext): string;
}
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Rule Priority Chain

flowchart LR
    A["CreateTableRule
Priority 10"] --> B["ViewRule
Priority 20"]
    B --> C["ProcedureToFunctionRule
Priority 30"]
    C --> D["FunctionRule
Priority 35"]
    D --> E["TriggerRule
Priority 40"]
    E --> F["InsertRule
Priority 50"]
    F --> G["ConditionalDDLRule
Priority 55"]
    G --> H["AlterTableRule
Priority 60"]
    H --> I["CreateIndexRule
Priority 70"]
    I --> J["GrantRule
Priority 80"]
    J --> K["ExtendedPropertyRule
Priority 90"]
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ConversionContext

State accumulated across the pipeline:

interface ConversionContext {
  SourceDialect: string;        // 'tsql'
  TargetDialect: string;        // 'postgres'
  Schema: string;               // '__mj'
  TableColumns: Map<string, Map<string, string>>;  // table -> column -> PG type
  HandWrittenFunctions: Map<string, string>;        // function name -> PG replacement
  CreatedFunctions: Set<string>;   // successfully converted functions
  CreatedViews: Set<string>;       // successfully converted views
}
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flowchart LR
    CT["CreateTableRule
Populates TableColumns"] --> IR["InsertRule
Reads TableColumns
for boolean casting"]
    P["ProcedureToFunctionRule
Populates CreatedFunctions"] --> GR["GrantRule
Reads CreatedFunctions
to skip invalid grants"]
    V["ViewRule
Populates CreatedViews"] --> GR
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Rule-by-Rule Documentation

1. CreateTableRule (Priority 10)

Applies to: CREATE_TABLE | Bypasses sqlglot: Yes

Converts SQL Server CREATE TABLE statements to PostgreSQL DDL.

Conversions:

• Bracket identifiers [schema].[table] to schema."table"
• SQL Server types to PG types (see Type Mapping table below)
• IDENTITY(1,1) to GENERATED BY DEFAULT AS IDENTITY
• DEFAULT (NEWSEQUENTIALID()) to DEFAULT gen_random_uuid()
• DEFAULT (GETUTCDATE()) to DEFAULT NOW()
• DEFAULT ((0)) for BIT to DEFAULT FALSE
• DEFAULT ((1)) for BIT to DEFAULT TRUE
• Removes CLUSTERED/NONCLUSTERED, ON [PRIMARY], COLLATE
• Quotes PascalCase column names
• Tracks column types in ConversionContext.TableColumns

Example:

-- Input (T-SQL)
CREATE TABLE [__mj].[Users] (
  [ID] [uniqueidentifier] NOT NULL DEFAULT (newsequentialid()),
  [Name] [nvarchar](100) NOT NULL,
  [IsActive] [bit] NOT NULL DEFAULT ((1)),
  CONSTRAINT [PK_Users] PRIMARY KEY CLUSTERED ([ID])
)

-- Output (PostgreSQL)
CREATE TABLE __mj."Users" (
  "ID" UUID NOT NULL DEFAULT gen_random_uuid(),
  "Name" VARCHAR(100) NOT NULL,
  "IsActive" BOOLEAN NOT NULL DEFAULT TRUE,
  CONSTRAINT "PK_Users" PRIMARY KEY ("ID")
);
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2. ViewRule (Priority 20)

Applies to: CREATE_VIEW | Bypasses sqlglot: Yes

Converts CREATE VIEW statements with full expression conversion.

Conversions:

• CREATE [OR ALTER] VIEW to CREATE OR REPLACE VIEW
• CROSS APPLY to CROSS JOIN LATERAL
• OUTER APPLY to LEFT JOIN LATERAL
• Adds ON TRUE for LEFT JOIN LATERAL without ON clause
• Wraps LATERAL function calls: func(args) AS alias to (SELECT * FROM func(args)) AS alias
• STRING_AGG WITHIN GROUP rewriting
• All expression helpers (date functions, CHARINDEX, STUFF, etc.)
• Column reference quoting: alias.PascalCol to alias."PascalCol"
• Skips views referencing sys.* tables or flyway

3. ProcedureToFunctionRule (Priority 30)

Applies to: CREATE_PROCEDURE | Bypasses sqlglot: Yes

Converts SQL Server stored procedures to PostgreSQL functions.

Conversions:

• Parses parameters (name, type, default, OUTPUT flag)
• Maps SQL Server types to PG types for parameters
• Replaces @var with p_var in function body
• @@ROWCOUNT to _v_row_count, @@ERROR to 0
• WHILE BEGIN...END to WHILE...LOOP...END LOOP
• IF BEGIN...END to IF...THEN...END IF
• SET @var = to p_var :=
• Extracts DECLARE statements into PG DECLARE block
• INSERTED to NEW, DELETED to OLD
• Determines return type (VOID, TABLE row type, SETOF)
• Wraps in CREATE OR REPLACE FUNCTION ... $$ LANGUAGE plpgsql;
• Skips procedures with sys.* references, temp tables, STRING_SPLIT

4. FunctionRule (Priority 35)

Applies to: CREATE_FUNCTION | Bypasses sqlglot: Yes

Converts SQL Server functions (scalar and table-valued) to PostgreSQL.

Features:

• Checks for hand-written function replacements first (7 built-in: StripToAlphanumeric, GetProgrammaticName, ToTitleCase, ToProperCase, ExtractVersionComponents, parseEmail, parseDomain, fnInitials)
• Inline table-valued functions to RETURNS TABLE(...) AS $$ ... $$ LANGUAGE sql;
• Scalar functions to RETURNS type AS $$ ... $$ LANGUAGE plpgsql;
• WITH recursive CTE detection to WITH RECURSIVE
• DECLARE extraction, WHILE/IF conversion, type mapping

5. TriggerRule (Priority 40)

Applies to: CREATE_TRIGGER | Bypasses sqlglot: Yes

Converts SQL Server triggers to PostgreSQL trigger functions.

Pattern:

-- Input
CREATE TRIGGER trgAfterUpdate ON [__mj].[Users]
AFTER UPDATE AS ...

-- Output
CREATE OR REPLACE FUNCTION __mj."trgAfterUpdate_func"() RETURNS TRIGGER AS $$
BEGIN ... END;
$$ LANGUAGE plpgsql;

CREATE TRIGGER "trgAfterUpdate" AFTER UPDATE ON __mj."Users"
FOR EACH ROW EXECUTE FUNCTION __mj."trgAfterUpdate_func"();
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• Special handling for UpdatedAt triggers (common pattern)
• Skips triggers using TRIGGER_NESTLEVEL() or UPDATE()
• INSERTED to NEW, DELETED to OLD

6. InsertRule (Priority 50)

Applies to: INSERT, UPDATE, DELETE | Bypasses sqlglot: Yes

Converts DML statements with expression helpers.

Order of operations (important for correctness):

1. Convert identifiers
2. Remove N prefix
3. Remove COLLATE
4. Convert common functions (BEFORE quoting to avoid quoting function names like LEN)
5. String concatenation (+ to ||)
6. CHARINDEX, STUFF, CONVERT, IIF, CAST types
7. Quote PascalCase identifiers
8. Ensure semicolon

7. ConditionalDDLRule (Priority 55)

Applies to: CONDITIONAL_DDL | Bypasses sqlglot: Yes

Converts IF NOT EXISTS conditional DDL patterns.

Two patterns:

1. Conditional Index: IF NOT EXISTS (SELECT ... sys.indexes ...) CREATE INDEX to CREATE INDEX IF NOT EXISTS
2. DO $$ Block: IF NOT EXISTS (...) BEGIN ... END to DO $$ BEGIN IF NOT EXISTS (...) THEN ... END IF; END $$;

Features:

• Type conversions (NVARCHAR to VARCHAR, BIT to BOOLEAN, etc.)
• INFORMATION_SCHEMA casing (PG requires lowercase)
• PascalCase identifier quoting (skips string literals to avoid corrupting UUIDs)

8. AlterTableRule (Priority 60)

Applies to: FK_CONSTRAINT, PK_CONSTRAINT, CHECK_CONSTRAINT, UNIQUE_CONSTRAINT, ENABLE_CONSTRAINT, ALTER_TABLE | Bypasses sqlglot: Yes

Converts ALTER TABLE statements and constraint definitions.

Conversions:

• Identifier conversion, COLLATE removal
• Type conversions for defaults and columns
• GETUTCDATE() to NOW(), NEWSEQUENTIALID() to gen_random_uuid()
• Removes CLUSTERED/NONCLUSTERED, ASC/DESC in constraints, ON [PRIMARY]
• FK constraints: adds DEFERRABLE INITIALLY DEFERRED
• CHECK constraints: adds NOT VALID
• WITH CHECK CHECK CONSTRAINT to comment (no-op in PG)

9. CreateIndexRule (Priority 70)

Applies to: CREATE_INDEX | Bypasses sqlglot: Yes

Converts CREATE INDEX statements.

Conversions:

• Removes CLUSTERED/NONCLUSTERED
• Removes WITH (PAD_INDEX = ...) option blocks
• Removes ON [filegroup]
• Removes INCLUDE columns (simplified)
• Fixes boolean values: =(1) to =TRUE, =(0) to =FALSE

10. GrantRule (Priority 80)

Applies to: GRANT, REVOKE | Bypasses sqlglot: Yes

Converts GRANT and REVOKE statements.

Features:

• Adds FUNCTION keyword for EXECUTE grants (PG requirement)
• Skips grants on functions not in CreatedFunctions set
• Skips grants on views (vw*) not in CreatedViews set
• Removes N prefix from strings

11. ExtendedPropertyRule (Priority 90)

Applies to: EXTENDED_PROPERTY | Bypasses sqlglot: Yes

Converts sp_addextendedproperty calls to PostgreSQL COMMENT statements.

Supports:

• Named parameters (@name=, @value=, etc.)
• Positional parameters
• TABLE to COMMENT ON TABLE
• VIEW to COMMENT ON VIEW
• COLUMN to COMMENT ON COLUMN
• PROCEDURE/FUNCTION to commented out (PG needs signature)

Statement Classification

The StatementClassifier uses pattern matching to assign one of 27 types:

Output Grouping

Converted statements are grouped in dependency order:

flowchart TD
    A[DDL: Tables, PKs, Indexes] --> B[Helper Functions fn*]
    B --> C[Views]
    C --> D[Stored Procedures sp*]
    D --> E[Triggers]
    E --> F[Data: INSERT/UPDATE/DELETE]
    F --> G[FK & CHECK Constraints]
    G --> H[Grants]
    H --> I[Comments]
    I --> J[Other / Errors]
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Type Mapping Reference

Function Mapping Reference

ExpressionHelpers

Shared expression-level converters used across multiple rules:

• convertIdentifiers -- [schema].[name] to schema."name"
• convertDateFunctions -- DATEADD, DATEDIFF, DATEPART with full unit mapping
• convertCharIndex -- 2-arg and 3-arg CHARINDEX
• convertStuff -- STUFF to OVERLAY
• convertStringConcat -- + to || for string contexts
• convertIIF -- Nested IIF with paren-aware argument splitting
• convertTopToLimit -- SELECT TOP N to LIMIT N
• convertCastTypes -- CAST AS type mappings
• convertConvertFunction -- CONVERT(type, expr) to CAST
• removeNPrefix -- N'text' to 'text'
• removeCollate -- Remove COLLATE clauses
• convertCommonFunctions -- ISNULL, GETUTCDATE, NEWID, LEN, etc.
• quotePascalCaseIdentifiers -- Quote PascalCase identifiers while preserving strings and comments

PostProcessor

Global cleanup pass applied to the complete output. Key transformations:

1. Bracket cleanup -- Remove remaining [brackets] (preserve PG array access)
2. Session control removal -- SET NOEXEC, SET NUMERIC_ROUNDABORT, SET XACT_ABORT
3. RAISERROR to RAISE EXCEPTION
4. Type name unquoting -- "UUID" to UUID, "BOOLEAN" to BOOLEAN, etc.
5. Remaining type conversions -- nvarchar to VARCHAR, uniqueidentifier to UUID
6. Boolean fixes -- =(1) to =TRUE, =(0) to =FALSE
7. session_replication_role -- 'DEFAULT' to 'origin'
8. PL/pgSQL fixes -- END\n$$ to END;\n$$, empty BEGIN blocks
9. FK clause ordering -- DEFERRABLE after ON DELETE/UPDATE
10. LIKE character classes -- SQL Server patterns to PG regex
11. CHECK constraint fixes -- len() to LENGTH(), isjson() to JSON validation
12. INFORMATION_SCHEMA -- Force lowercase
13. Schema-qualified identifiers -- Quote unquoted PascalCase after __mj.
14. ISNULL to COALESCE -- Final pass
15. IF OBJECT_ID DROP to DROP ... IF EXISTS
16. GRANT EXEC to GRANT EXECUTE with DO $$ wrapper
17. CREATE INDEX to CREATE INDEX IF NOT EXISTS
18. Long index names -- Truncate to 63 chars with MD5 hash suffix
19. Backslash line fix -- Fix lines starting with `` in INSERT string literals
20. Excessive blank lines -- Collapse 4+ blank lines to 3

Extensibility Architecture

The converter is built on three extensible subsystems that enable support for new source/target dialect combinations beyond T-SQL → PostgreSQL.

RuleRegistry

Central registry for SQL conversion rules. Supports multiple source→target dialect combinations with case-insensitive dialect lookup and automatic priority sorting.

import { RuleRegistry } from '@memberjunction/sql-converter';

// Register rules for a dialect pair
RuleRegistry.RegisterAll(myRules);

// Retrieve sorted rules for a dialect pair
const rules = RuleRegistry.GetRules('tsql', 'postgres');

// Check available combinations
const combos = RuleRegistry.GetRegisteredCombinations();
// [{ Source: 'tsql', Target: 'postgres' }]

// Check if rules exist for a combination
RuleRegistry.HasRules('tsql', 'mysql'); // false
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Rules self-register via SourceDialect and TargetDialect properties on IConversionRule. The registry uses case-insensitive matching and returns rules sorted by Priority (ascending).

TypeResolver

Centralized SQL type resolution that delegates to @memberjunction/sql-dialect's DataTypeMap with MJ-specific overrides. All type mapping in the converter goes through this module so knowledge lives in one place.

import { resolveType, parseTypeString } from '@memberjunction/sql-converter';

// Parse a SQL type string into components
const parsed = parseTypeString('NVARCHAR(255)');
// { BaseName: 'NVARCHAR', Length: 255 }

// Resolve a T-SQL type to PostgreSQL
resolveType('UNIQUEIDENTIFIER');    // 'UUID'
resolveType('NVARCHAR(MAX)');       // 'TEXT'
resolveType('DECIMAL(18,2)');       // 'NUMERIC(18,2)'
resolveType('DATETIME');            // 'TIMESTAMPTZ' (MJ override)

// Resolve for inline CAST/CONVERT expressions
resolveInlineType('DATETIME2(7)');  // 'TIMESTAMPTZ'
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MJ-specific overrides (applied before the dialect TypeMap):

• DATETIME, DATETIME2, SMALLDATETIME → TIMESTAMPTZ (MJ stores everything with timezone)
• NTEXT → TEXT
• SQL_VARIANT, HIERARCHYID → TEXT

To add support for a new target dialect, add a new branch in the internal getTypeMap() function that constructs the dialect's TypeMap.

DialectHeaderBuilder

Pluggable interface for generating dialect-specific output file headers. Each target dialect can register a header builder that produces the preamble needed for the converted SQL file.

import { registerHeaderBuilder, getHeaderBuilder, DialectHeaderBuilder } from '@memberjunction/sql-converter';

// Built-in: PostgreSQL header builder (auto-registered)
const pgBuilder = getHeaderBuilder('postgres');
const header = pgBuilder?.BuildHeader('__mj');
// Generates: CREATE EXTENSION, CREATE SCHEMA, SET search_path, implicit int->bool cast

// Register a custom builder for a new dialect
class MySQLHeaderBuilder implements DialectHeaderBuilder {
  readonly TargetDialect = 'mysql';
  BuildHeader(schema: string): string {
    return `SET NAMES utf8mb4;\nCREATE SCHEMA IF NOT EXISTS \`${schema}\`;\nUSE \`${schema}\`;\n`;
  }
}
registerHeaderBuilder(new MySQLHeaderBuilder());
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The built-in PostgreSQLHeaderBuilder generates:

• CREATE EXTENSION for pgcrypto and uuid-ossp
• Schema creation and SET search_path
• SET standard_conforming_strings = on
• Implicit INTEGER → BOOLEAN cast upgrade (for SQL Server BIT compatibility)

Extending the Pipeline

Adding a New Rule (Existing Dialect Pair)

1. Create a new file in src/rules/:

import type { IConversionRule, ConversionContext, StatementType } from './types.js';

export class MyNewRule implements IConversionRule {
  Name = 'MyNewRule';
  SourceDialect = 'tsql';
  TargetDialect = 'postgres';
  AppliesTo: StatementType[] = ['SOME_TYPE'];
  Priority = 65;  // Between existing rules
  BypassSqlglot = true;

  PostProcess(sql: string, originalSQL: string, context: ConversionContext): string {
    // Your conversion logic here
    return convertedSQL;
  }
}
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2. Register it in TSQLToPostgresRules.ts:

import { MyNewRule } from './MyNewRule.js';

export function getTSQLToPostgresRules(): IConversionRule[] {
  return [
    // ... existing rules
    new MyNewRule(),  // Insert at correct priority position
  ];
}
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3. Add tests in src/__tests__/MyNewRule.test.ts

Adding Rules for a New Dialect Direction

To support a new conversion direction (e.g., T-SQL → MySQL):

1. Create rules implementing IConversionRule with SourceDialect = 'tsql' and TargetDialect = 'mysql'
2. Register rules with RuleRegistry.RegisterAll(myMySQLRules)
3. Add a TypeMap branch in TypeResolver.getTypeMap() for the new target dialect
4. Register a DialectHeaderBuilder for the new target via registerHeaderBuilder()
5. Create a convenience function like getTSQLToMySQLRules() for easy consumption

Adding New Type Mappings

Update type mappings in:

• TypeResolver -- centralized type resolution (preferred for new dialects)
• CreateTableRule -- for CREATE TABLE column types
• ExpressionHelpers.convertCastTypes() -- for CAST expressions
• ExpressionHelpers.convertConvertFunction() -- for CONVERT() function
• PostProcessor.postProcess() -- for final cleanup pass

Verification & Cross-Database Audit

Database Verification

import { ConversionPipeline } from '@memberjunction/sql-converter';

const result = await new ConversionPipeline().Run({
  source: 'input.sql',
  sourceIsFile: true,
  sourceDialect: 'tsql',
  targetDialect: 'postgres',
  verify: true,
  targetConnection: 'postgresql://user:pass@localhost:5432/testdb',
});
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Audit Command

npx mj sql-audit --source-connection "mssql://..." --target-connection "postgresql://..." --schema __mj
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Compares source and target databases:

• Missing objects (tables, views, functions, triggers, indexes)
• Row count mismatches

Testing

Running Tests

# All tests
cd packages/SQLConverter && npm run test

# Watch mode
cd packages/SQLConverter && npm run test:watch
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Test Organization

src/__tests__/
  StatementClassifier.test.ts    # 60+ tests
  SubSplitter.test.ts            # 13 tests
  ExpressionHelpers.test.ts      # 100+ tests
  BatchConverter.test.ts         # 22 tests
  PostProcessor.test.ts          # 50+ tests
  SQLFileSplitter.test.ts        # 24 tests
  DatabaseAuditor.test.ts        # 12 tests
  CreateTableRule.test.ts        # 31 tests
  ViewRule.test.ts               # 15 tests
  ProcedureToFunctionRule.test.ts # 48 tests
  FunctionRule.test.ts           # 20+ tests
  TriggerRule.test.ts            # 13 tests
  InsertRule.test.ts             # 20 tests
  AlterTableRule.test.ts         # 13 tests
  ConditionalDDLRule.test.ts     # 20+ tests
  CreateIndexRule.test.ts        # 15+ tests
  GrantRule.test.ts              # 15+ tests
  ExtendedPropertyRule.test.ts   # 8 tests
  TSQLToPostgresRules.test.ts    # 10+ tests
  ConversionPipeline.test.ts     # 14 tests
  integration.test.ts            # Full pipeline against real PG
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Adding Test Cases

Follow the established pattern:

import { describe, it, expect } from 'vitest';
import { MyRule } from '../rules/MyRule.js';
import { createConversionContext } from '../rules/types.js';

const rule = new MyRule();
const context = createConversionContext('tsql', 'postgres');

function convert(sql: string): string {
  return rule.PostProcess!(sql, sql, context);
}

describe('MyRule', () => {
  describe('metadata', () => {
    it('should have the correct name, priority, and applies-to types', () => {
      expect(rule.Name).toBe('MyRule');
      expect(rule.Priority).toBe(65);
    });
  });

  describe('feature area', () => {
    it('should convert X to Y', () => {
      const result = convert('INPUT SQL');
      expect(result).toContain('EXPECTED OUTPUT');
    });
  });
});
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Dependencies

• @memberjunction/sqlglot-ts -- Python sqlglot wrapper for transpilation fallback
• pg (dev) -- PostgreSQL client for integration tests
• vitest (dev) -- Test framework

License

ISC