design-serialization-schema
About
This skill helps developers design serialization schemas using JSON Schema, Protocol Buffers, or Apache Avro. It covers schema versioning, backward compatibility, validation rules, and evolution strategies for long-lived data formats. Use it when defining new API contracts, extending existing schemas without breaking consumers, or choosing between schema systems.
Quick Install
Claude Code
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Documentation
設序列化綱
立善版之序綱,演進而不破用者。
用
- 立新 API 契或數換格
- 舊綱添欄而不破用者
- 於綱版間遷
- 擇綱系(JSON Schema、Protobuf、Avro)
- 書數驗規以動施
入
- 必:數模(實體關、欄類、限)
- 必:相容求(誰用此數、舊格宜可讀多久)
- 可:可演之舊綱
- 可:效求(驗速、綱註冊表整合)
- 可:目序格(JSON、二進、列式)
行
一:擇綱系
| System | Format | Strengths | Best For |
|---|---|---|---|
| JSON Schema | JSON | Widely supported, flexible validation | REST APIs, config validation |
| Protocol Buffers | Binary | Compact, fast, strong typing, built-in evolution | gRPC, microservices |
| Apache Avro | Binary/JSON | Schema in data, excellent evolution support | Kafka, data pipelines |
| XML Schema (XSD) | XML | Comprehensive typing, namespace support | Enterprise/legacy SOAP |
| TypeBox/Zod | TypeScript | Type inference, runtime validation | TypeScript APIs |
得:綱系依生態、效需、演求擇。
敗:不定→始 JSON Schema—工具支援最廣,可疊於舊 JSON API。
二:設核綱
JSON Schema 例:
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://example.com/schemas/measurement/v1",
"title": "Measurement",
"description": "A sensor measurement reading",
"type": "object",
"required": ["sensor_id", "value", "unit", "timestamp"],
"properties": {
"sensor_id": {
"type": "string",
"pattern": "^[a-z]+-[0-9]+$",
"description": "Unique sensor identifier (lowercase-digits format)"
},
"value": {
"type": "number",
"description": "Measured value"
},
"unit": {
"type": "string",
"enum": ["celsius", "fahrenheit", "kelvin", "percent", "ppm"],
"description": "Unit of measurement"
},
"timestamp": {
"type": "string",
"format": "date-time",
"description": "ISO 8601 timestamp with timezone"
},
"metadata": {
"type": "object",
"additionalProperties": true,
"description": "Optional key-value metadata"
}
},
"additionalProperties": false
}
Protocol Buffers 例:
syntax = "proto3";
package sensors.v1;
import "google/protobuf/timestamp.proto";
// Measurement represents a single sensor reading.
message Measurement {
string sensor_id = 1; // Unique sensor identifier
double value = 2; // Measured value
Unit unit = 3; // Unit of measurement
google.protobuf.Timestamp timestamp = 4;
map<string, string> metadata = 5; // Optional key-value metadata
}
enum Unit {
UNIT_UNSPECIFIED = 0;
UNIT_CELSIUS = 1;
UNIT_FAHRENHEIT = 2;
UNIT_KELVIN = 3;
UNIT_PERCENT = 4;
UNIT_PPM = 5;
}
Apache Avro 例:
{
"type": "record",
"name": "Measurement",
"namespace": "com.example.sensors",
"doc": "A sensor measurement reading",
"fields": [
{"name": "sensor_id", "type": "string", "doc": "Unique sensor identifier"},
{"name": "value", "type": "double", "doc": "Measured value"},
{"name": "unit", "type": {"type": "enum", "name": "Unit", "symbols": ["CELSIUS", "FAHRENHEIT", "KELVIN", "PERCENT", "PPM"]}},
{"name": "timestamp", "type": {"type": "long", "logicalType": "timestamp-millis"}},
{"name": "metadata", "type": ["null", {"type": "map", "values": "string"}], "default": null}
]
}
得:綱自書,含述、限、明類定。
敗:數模未穩→標綱為 draft 勿發於註冊表。
三:備綱演
相容規:
| Change | Backwards Compatible? | Forwards Compatible? | Safe? |
|---|---|---|---|
| Add optional field | Yes | Yes | Yes |
| Add required field | No | Yes | No (breaks existing consumers) |
| Remove optional field | Yes | No | Careful (producers may still send) |
| Remove required field | Yes | No | Careful |
| Rename a field | No | No | No (use alias + deprecation) |
| Change field type | No | No | No (add new field, deprecate old) |
| Add enum value | Yes (if consumers ignore unknown) | No | Depends on implementation |
| Remove enum value | No | Yes | No |
安演策:
- 僅添可選欄含合理默認
- 永勿去或改名—宜棄用
- 於識中版綱(
v1、v2) - 用綱註冊表於二進格(Confluent Schema Registry 於 Avro/Protobuf)
Protobuf 演規:
// v1 — original
message Measurement {
string sensor_id = 1;
double value = 2;
Unit unit = 3;
}
// v2 — safe evolution
message Measurement {
string sensor_id = 1;
double value = 2;
Unit unit = 3;
// NEW: added in v2 — old clients ignore this field
google.protobuf.Timestamp timestamp = 4;
// DEPRECATED: use sensor_id instead
reserved 6;
reserved "old_sensor_name";
}
JSON Schema 版:
{
"$id": "https://example.com/schemas/measurement/v2",
"allOf": [
{"$ref": "https://example.com/schemas/measurement/v1"},
{
"properties": {
"location": {
"type": "string",
"description": "Added in v2: GPS coordinates"
}
}
}
]
}
得:演計已書:何變安、何需新版。
敗:破變不可免→版綱(v1 → v2)並於遷間維並行支援。
四:施綱驗
# JSON Schema validation (Python)
from jsonschema import validate, ValidationError
import json
schema = json.load(open("measurement_v1.json"))
def validate_measurement(data: dict) -> list[str]:
"""Validate a measurement against the schema. Returns list of errors."""
errors = []
try:
validate(instance=data, schema=schema)
except ValidationError as e:
errors.append(f"{e.json_path}: {e.message}")
return errors
# Usage
errors = validate_measurement({"sensor_id": "s-01", "value": "not_a_number"})
# → ["$.value: 'not_a_number' is not of type 'number'"]
// TypeScript with Zod (runtime + compile-time)
import { z } from 'zod';
const MeasurementSchema = z.object({
sensor_id: z.string().regex(/^[a-z]+-[0-9]+$/),
value: z.number(),
unit: z.enum(['celsius', 'fahrenheit', 'kelvin', 'percent', 'ppm']),
timestamp: z.string().datetime(),
metadata: z.record(z.string()).optional(),
});
type Measurement = z.infer<typeof MeasurementSchema>;
// Validation
const result = MeasurementSchema.safeParse(inputData);
if (!result.success) {
console.error(result.error.issues);
}
得:驗行於系邊界諸入數(API 端、檔攝)。
敗:誌驗誤及全載(遮敏欄)以備除錯。
五:書綱
立綱書頁:
# Measurement Schema (v1)
## Overview
Represents a single sensor reading with metadata.
## Fields
| Field | Type | Required | Description | Constraints |
|-------|------|----------|-------------|-------------|
| sensor_id | string | Yes | Unique sensor ID | Pattern: `^[a-z]+-[0-9]+$` |
| value | number | Yes | Measured value | Any valid IEEE 754 double |
| unit | enum | Yes | Unit of measurement | One of: celsius, fahrenheit, kelvin, percent, ppm |
| timestamp | string | Yes | Reading time | ISO 8601 with timezone |
| metadata | object | No | Key-value pairs | String keys and values |
## Changelog
| Version | Date | Changes |
|---------|------|---------|
| v1 | 2025-03-01 | Initial schema |
## Compatibility
- **Backwards**: Consumers of v1 will continue to work with future versions
- **Policy**: Only additive, optional field changes between minor versions
得:書動生或與綱定同步。
敗:書漂離綱→加 CI 查以驗書對綱源。
驗
- 綱用案宜之系(JSON Schema、Protobuf、Avro)
- 諸欄有類、述、限
- 必 vs 可欄明定
- 演策已書(安變、版策)
- 系邊界已施驗
- 綱已版含變誌
- 往返測:序→反序→比確無數失
忌
- 過早過限:新綱嚴驗塞迭代→始寬(
additionalProperties: true),後緊 - 無默值:添必欄而無默→破諸舊數→新欄常供默
- 略 null:多綱不明 null/缺欄→明 nullable vs optional
- 於負載版而非 URL:長壽數(存、事)→嵌綱版於數中,非僅端點 URL
- enum 窮舉:添新 enum 值可崩用窮舉 switch 之用者→書無知值宜優雅處
參
serialize-data-formatsimplement-pharma-serialisationwrite-validation-documentation
GitHub Repository
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