portfolios.tools

SQL to TypeScript 생성기

CREATE TABLE DDL을 TypeScript 인터페이스로 변환하세요.

결과

Tables found: 1

export interface Users {
  id?: number;
  /** Required */
  name: string;
}

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작동 방식

Paste CREATE TABLE SQL statements into the text area. Toggle JSDoc comments if desired. The tool parses columns and generates TypeScript interfaces. Export from pg_dump, Supabase SQL editor, or MySQL Workbench schema scripts. Remove foreign key ALTER statements if parsing fails and paste table definitions only. Schema first workflows in finance apps often start here before writing API route handlers. Portfolio tracker and transaction ledger schemas convert cleanly with standard INTEGER and DECIMAL columns. Portfolio ledger and holdings tables with INTEGER and DECIMAL columns convert cleanly from pg_dump CREATE TABLE blocks. Export CREATE TABLE from Supabase dashboard or pg_dump without ownership and grant clauses for cleaner parse. Strip FOREIGN KEY and INDEX lines from pg_dump paste for cleaner column only parse. Portfolio ledger and holdings tables with INTEGER and DECIMAL columns convert cleanly from pg_dump CREATE TABLE blocks. Export CREATE TABLE from Supabase dashboard or pg_dump without ownership and grant clauses for cleaner parse. Strip FOREIGN KEY and INDEX lines from pg_dump paste for cleaner column only parse.

Review the generated TypeScript interface code with proper types, optional markers, and JSDoc annotations. Copy or download for your project. Compare output against your ORM generated types to catch nullable mismatches. Regenerate after schema migrations to keep frontend types synchronized with the database. Share generated interfaces with QA teams for contract testing against mock API responses. Version control generated types alongside migration files for audit trails. Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click. Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click.

until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click. Regenerate types after each migration: stale interfaces hide breaking column renames until runtime API errors surface. JSDoc option documents column defaults helping frontend forms show server side default values. Paste multiple CREATE TABLE blocks from migration folder to regenerate all entity interfaces in one click.

입력값이 변경될 때마다 SQL to TypeScript 생성기을(를) 사용하세요: 시장 변동, 새로운 기여금 또는 수정된 개인 가정 후. 소프트웨어 설치 없이 빠른 재실행을 위해 페이지를 북마크하세요.

단계별 안내

  1. SQL to TypeScript 생성기을(를) 열고 현재 입력값을 입력하세요.
  2. 계산된 출력과 요약 테이블을 검토하세요.
  3. 가정을 조정하고 시나리오를 나란히 비교하세요.

실전 예제

Paste CREATE TABLE SQL statements into the text area. Enter the sample inputs described in How it works to reproduce the scenario step by step.

한 번에 하나의 입력을 조정하여 민감도를 확인하세요. SQL to TypeScript 생성기은(는) 즉시 업데이트되므로 행동하기 전에 낙관적 및 보수적 가정을 스트레스 테스트할 수 있습니다.

이 계산기를 사용할 때

Reach for SQL to TypeScript Generator when convert create table ddl into typescript interfaces.. It suits quick what if analysis before trades, allocation changes, or plan updates.

결정이 세금, 유동성 또는 하나의 공식이 포착하는 것 이상의 다년 전망을 포괄할 때 관련 도구와 함께 사용하세요.

흔한 실수

입력 단위나 오래된 시장 가격을 확인하지 않고 출력을 복사하는 것은 SQL to TypeScript 생성기에서 흔한 오류입니다. 행동하기 전에 티커, 백분율 및 날짜를 확인하세요.

단일 기준 시나리오만 실행하면 꼬리 위험을 무시합니다. 보수적 입력으로 스트레스 테스트하고 결정이 중요할 때 아래 나열된 관련 도구와 비교하세요.

공식

Regex extraction: /CREATE\s+TABLE\s+(?:IF\s+NOT\s+EXISTS\s+)?[`"']?(\w+)[`"']?\s*\(([\s\S]*?)\)\s*;/gi. Type mapping via lookup table. Columns parsed per line with type, nullable, and default detection.

Output is TypeScript interface definitions. Supports standard PostgreSQL/MySQL CREATE TABLE DDL. Does not generate Zod schemas, Prisma models, or runtime validators. Extend output manually for production type safety. Supabase and PlanetScale exports work well as paste sources for quick type generation. BIGINT columns map to number which may lose precision above 2^53. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps.

제한 사항 및 가정

Output is TypeScript interface definitions. Supports standard PostgreSQL/MySQL CREATE TABLE DDL. Does not generate Zod schemas, Prisma models, or runtime validators. Extend output manually for production type safety. Supabase and PlanetScale exports work well as paste sources for quick type generation. BIGINT columns map to number which may lose precision above 2^53. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. No Zod or Prisma output: extend interfaces with runtime validators before trusting browser parsed API data. ENUM columns map to string union manually after export when you want strict literal types. VARCHAR length not preserved in TypeScript type: all string columns map to plain string type. Extend output with Zod schemas manually when runtime validation required in browser apps. SQL to TypeScript Generator does not replace personalized advice. Fees, slippage, account specific rules, and behavioral constraints may change real world outcomes.

주요 용어

How are SQL columns parsed
The parser extracts CREATE TABLE statements via regex, identifies column names, SQL types, nullability from NOT NULL, and default values.
What is the SQL to TypeScript type mapping
VARCHAR, CHAR, TEXT map to string.
모델 가정
By default nullable columns get optional (?

대안 비교

API Mock Generator creates sample JSON payloads matching your generated interfaces. Use those calculators when sql to typescript generator alone does not capture the full decision.

portfolios.tools의 내부 링크는 계산기 체인을 도와줍니다: 먼저 SQL to TypeScript 생성기을(를) 실행한 다음, 아래 관련 섹션의 전문 도구로 엣지 케이스를 검증하세요.

FAQ

How are SQL columns parsed?

The parser extracts CREATE TABLE statements via regex, identifies column names, SQL types, nullability from NOT NULL, and default values. Constraints (PRIMARY, FOREIGN, UNIQUE, CHECK, INDEX) are skipped. Composite types and generated columns may parse partially. Multi line column definitions inside parentheses are handled line by line. Inline comments after column definitions are stripped before parsing. CHECK constraints and GENERATED ALWAYS AS columns require manual TypeScript adjustment after export. Regex parser skips CONSTRAINT lines and extracts column name type NOT NULL and DEFAULT per line. SERIAL and BIGSERIAL columns map to number type in generated TypeScript interface. Regex parser skips CONSTRAINT lines and extracts column name type NOT NULL and DEFAULT per line. SERIAL and BIGSERIAL columns map to number type in generated TypeScript interface.

What is the SQL to TypeScript type mapping?

VARCHAR, CHAR, TEXT map to string. INT, BIGINT, SERIAL, NUMERIC, DECIMAL, FLOAT, DOUBLE map to number. BOOLEAN maps to boolean. TIMESTAMP, DATE map to string. UUID maps to string. JSON and JSONB map to Record<string, unknown>. ENUM types map to string unless you extend the mapping manually after export. SMALLINT and TINYINT also map to number in the default lookup table. PostgreSQL IF NOT EXISTS and MySQL backtick quotes both supported in CREATE TABLE paste. PostgreSQL IF NOT EXISTS and MySQL backtick quotes both supported in CREATE TABLE paste.

What does the JSDoc option do?

By default nullable columns get optional (?) markers. Enabling JSDoc adds /** comments */ for default values and required annotations above each field. JSDoc helps IDE autocomplete show column constraints without opening the SQL schema. Useful when sharing generated types with frontend teams who do not maintain the database. Required fields without defaults surface as non optional TypeScript properties for stricter compile time checks. TIMESTAMP WITH TIME ZONE columns still map to string; add branded types manually for date safety. BIGINT maps to number which loses precision above 2^53: use string branded types manually for snowflake IDs. JSDoc on optional columns documents NULL allowed from database constraint for frontend form validation. BIGINT maps to number which loses precision above 2^53: use string branded types manually for snowflake IDs. JSDoc on optional columns documents NULL allowed from database constraint for frontend form validation.

Which CREATE TABLE syntax is supported?

The parser works on standard DDL with parentheses, type annotations, NOT NULL, and DEFAULT clauses. Complex expressions in defaults are extracted as strings. PostgreSQL IF NOT EXISTS and MySQL backtick quoting are supported. Does not parse ALTER TABLE, views, or stored procedures. Paste one or more CREATE TABLE blocks separated by semicolons. Array and custom PostgreSQL types default to string unless you extend the mapping table manually. SQLite CREATE TABLE exports work but may need type affinity adjustments after import. ALTER TABLE and VIEW statements ignored: paste only table definitions for interface generation. ALTER TABLE and VIEW statements ignored: paste only table definitions for interface generation.

Can I convert multiple tables at once?

Each CREATE TABLE becomes one TypeScript interface named after the table (capitalized). Multiple CREATE TABLE statements produce multiple interfaces separated by newlines. Interface names follow PascalCase from snake_case table names. Copy output into your types folder or download as a .ts file for import into NestJS, Prisma companion types, or API layers. Add readonly modifiers manually for immutable database views after export. Composite primary keys may need manual interface splitting after generation. Multiple CREATE TABLE statements produce multiple PascalCase interfaces in one download for ORM free projects. Download typescript file directly into monorepo packages types folder beside Prisma schema. Multiple CREATE TABLE statements produce multiple PascalCase interfaces in one download for ORM free projects. Download typescript file directly into monorepo packages types folder beside Prisma schema.

휴대폰이나 태블릿에서 SQL to TypeScript 생성기을(를) 사용할 수 있나요?

예. 이 도구는 데스크톱과 동일한 공식으로 모바일 브라우저에서 완전히 실행됩니다. 선택적 localStorage는 브라우저 설정에서 활성화된 경우 기기에 입력값을 기억할 수 있습니다.

SQL to TypeScript 생성기을(를) 사용할 때 내 데이터는 어디에 저장되나요?

당사 서버 어디에도 없습니다. 계산은 브라우저에서 로컬로 실행됩니다. 선택적 localStorage는 기기에서만 양식 필드를 저장하며 네트워크를 통해 포트폴리오 번호를 전송하지 않습니다.

세금 또는 법적 결정에 SQL to TypeScript 생성기에 의존해야 하나요?

아니요. 이 도구는 교육용 수학만 제공합니다. 세법, 계좌 규칙 및 개인 상황은 다양합니다. 중대한 결과를 초래하는 거래 전에 자격을 갖춘 세무 또는 법률 전문가와 상담하세요.

관련 도구

API Mock Generator creates sample JSON payloads matching your generated interfaces. Regex Transaction Parser helps validate CSV import formats for finance apps built on the same schema. Cron Market Scheduler supports scheduled ETL jobs that sync database tables to TypeScript typed APIs. Enterprise Value Calculator schemas often share similar column patterns for financial statement tables. Drizzle and Kysely users paste output as companion types alongside inferred schema definitions. YAML JSON Portfolio converter complements SQL first backends when config also lives in version control. JSON to OpenAPI documents HTTP layer while this tool types database layer for full stack finance apps. YAML JSON Portfolio converter complements SQL first backends when config also lives in version control. JSON to OpenAPI documents HTTP layer while this tool types database layer for full stack finance apps.