SQL to Protocol Buffers Converter

Transform SQL database dumps into Protocol Buffers (protobuf) schema definitions with proto3 syntax and sample data for gRPC and data serialization

About SQL to Protocol Buffers Converter

Convert SQL database dumps (CREATE TABLE and INSERT statements) to Protocol Buffers (protobuf) schema definitions with proto3 syntax. Perfect for gRPC services, data serialization, and cross-platform data exchange.

Key Features

  • Automatic Type Detection: Detects string, bool, int32, int64, and double types
  • proto3 Syntax: Generates modern Protocol Buffers schema
  • Custom Package Name: Configure package namespace
  • Sample Data: Optional textproto format sample data
  • Field Name Sanitization: Converts to valid protobuf field names
  • Message Types: Generates both single record and collection messages
  • Smart Parsing: Extracts column names and data from SQL dumps
  • File Download: Save as .proto file

How to Use

  1. Input SQL Data: Paste your SQL CREATE TABLE and INSERT statements or upload a .sql file
  2. Configure Package: Set the package name for your protobuf schema
  3. Enable Sample Data: Optionally include sample data in textproto format
  4. Copy or Download: Use the Copy or Download button to save your Protocol Buffers schema

Type Detection

The converter automatically determines the appropriate Protocol Buffers type:

  • bool: For true/false values
  • int32: For integers within 32-bit range (-2,147,483,648 to 2,147,483,647)
  • int64: For larger integers
  • double: For decimal/floating-point values
  • string: For text values (default)

Example Conversion

SQL Input:

CREATE TABLE products (
  id INT,
  name VARCHAR(100),
  price DECIMAL(10,2),
  inStock BOOLEAN
);

INSERT INTO products VALUES (1, 'Laptop', 999.99, true);
INSERT INTO products VALUES (2, 'Mouse', 24.99, true);

Protocol Buffers Output:

syntax = "proto3";

package sql_converter;

// Single products record
message ProductsRecord {
  int32 id = 1;
  string name = 2;
  double price = 3;
  bool in_stock = 4;
}

// Collection of products records
message ProductsData {
  repeated ProductsRecord records = 1;
}

Common Use Cases

  • gRPC Services: Define message types for gRPC APIs
  • Data Serialization: Efficient binary data serialization
  • Microservices: Define data contracts between services
  • Cross-Platform: Share data structures across languages
  • API Design: Design type-safe API schemas
  • Data Migration: Convert database schemas to protobuf
  • Documentation: Document data structures with protobuf

Protocol Buffers Benefits

  • Compact: Binary format is smaller than JSON/XML
  • Fast: Faster serialization/deserialization
  • Type-Safe: Strong typing prevents errors
  • Language-Agnostic: Works with many programming languages
  • Backward Compatible: Schema evolution support
  • Code Generation: Auto-generate code from .proto files

Supported Languages

Protocol Buffers generated from this tool can be used with:

  • C++, Java, Python, Go, Ruby, C#, PHP, Dart, Kotlin, Swift, and more
  • Official protoc compiler for code generation
  • gRPC framework for RPC services

Supported SQL Syntax

  • CREATE TABLE: Extracts column names for field names
  • INSERT INTO: Parses data values for type detection
  • Data Types: Handles all SQL data types (VARCHAR, INT, DECIMAL, BOOLEAN, etc.)
  • Quoted Strings: Handles single and double quotes with proper escaping
  • NULL Values: Omitted from sample data (protobuf default values)

Privacy & Security

All conversions happen locally in your browser. Your SQL data is never uploaded to any server, ensuring complete privacy and security.

FAQ

Does this tool run my SQL against a database?

No. The tool only parses CREATE TABLE and INSERT INTO statements as plain text to infer schema and sample data. It does not connect to any database or execute SQL.

Which version of Protocol Buffers is used?

The generated schema uses syntax = "proto3";, which is the modern Protocol Buffers syntax supported by current language bindings and gRPC.

How are field types chosen?

The converter scans values in each column and picks an appropriate type such as bool, int32, int64, double, or string based on the observed data. If values are mixed or ambiguous, it falls back to string.

Can I safely rename messages or fields?

Yes. The generated message and field names are just a starting point. You can rename messages and fields in the .proto file, but keep field numbers stable once a schema is in use to avoid breaking compatibility.

What is the sample textproto section for?

The optional textproto block shows how your data would look when encoded as Protocol Buffers text format. You can use it for testing, documentation, or loading sample records in development tools.

Is any of my schema or data uploaded?

No. All parsing and generation runs entirely in your browser. Neither the SQL input nor the generated .proto or textproto content is sent to any external server.