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thesis/protobuf

Composer 安装命令:

composer require thesis/protobuf

包简介

A modern strictly typed full-featured serializer for Google's protocol buffers.

README 文档

README

Installation

composer require thesis/protobuf

Usage

First of all, you should remember that the intended way to use this library is through the protoc plugin, which you should use to generate PHP code from your proto schema. While it is possible to write such code manually, it is not recommended.

Although the library provides a low-level API for building other tools, such as reflection, it is recommended to use the Encoder/Decoder from this library. They use attributes from Thesis\Protobuf\Reflection to locate the necessary information, such as the field number and its type in protobuf.

Let's look at encoding and decoding using a simple protobuf message as an example:

use Thesis\Protobuf\Reflection;

final readonly class CreateUserRequest
{
    /**
     * @param list<string> $roles
     */
    public function __construct(
        #[Reflection\Field(1, Reflection\Int32T::T)]
        public int $id = 0,
        #[Reflection\Field(2, Reflection\StringT::T)]
        public string $name = '',
        #[Reflection\Field(3, new Reflection\ListT(Reflection\StringT::T))]
        public array $roles = [],
    ) {}
}

Encoding

To encode such an object in protobuf format, you need to create an Encoder using the Encoder\Builder:

use Thesis\Protobuf\Encoder;

$encoder = Encoder\Builder::buildDefault();

Or using PSR-16 cache implementation to cache the reflection:

use Thesis\Protobuf\Encoder;

$encoder = new Encoder\Builder()
    ->withCache(/** cache implementation */)
    ->build();

By default, simple InMemoryPsr16Cache implementation will be used.

Now we are ready to encode the message:

$encoder->encode(new CreateUserRequest(1, 'kafkiansky', ['developer']));

You will get a ready-to-use protobuf message that can be used to store in files, in queues (for example, messages in Kafka are often stored as protobuf messages for better compression), and, of course, for transmission over the network within the gRPC protocol.

Decoding

To decode a protobuf message into a class (and only into a class: enums cannot be a top-level type, but they can be part of message fields), use the Decoder. Creating it is just as simple as creating an Encoder:

use Thesis\Protobuf\Decoder;

$decoder = Decoder\Builder::buildDefault();

Since the Decoder also uses reflection, you can configure caching yourself or leave the default in-memory implementation, which is already efficient enough for long-running applications.

use Thesis\Protobuf\Decoder;

$decoder = new Decoder\Builder()
    ->withCache(/** cache implementation */)
    ->build();

And now you are ready to decode the message:

$request = $decoder->decode(/** protobuf buffer here */, CreateUserRequest::class);

echo $request->name;

Required fields

Reflector::map() maps missing fields using property defaults when they exist. If a property is non-nullable and has no default value, it is treated as required.

When one or more required properties are missing, decoding fails with Thesis\Protobuf\Reflection\Exception\MappingError. The exception contains all reasons in ->reasons (each reason is typically PropertyRequired).

This behavior is aligned with other protobuf implementations/plugins: messages missing required fields are treated as invalid during decode.

A field is considered required when either:

  • it is defined as required in proto2;
  • it is defined in editions with features.field_presence = LEGACY_REQUIRED.
use Thesis\Protobuf\Decoder;
use Thesis\Protobuf\Reflection;

$decoder = Decoder\Builder::buildDefault();

try {
    $message = $decoder->decode($buffer, CreateUserRequest::class);
} catch (Reflection\Exception\MappingError $e) {
    foreach ($e->reasons as $reason) {
        if ($reason instanceof Reflection\Exception\PropertyRequired) {
            echo $reason->class . "::$" . $reason->property . PHP_EOL;
        }
    }
}

Both Encoder::encode() and Decoder::decode() throw Thesis\Protobuf\ProtobufException. Domain protobuf exceptions are preserved and are not wrapped into generic runtime errors.

Unknown fields

When a protobuf message is decoded, it may contain fields that are not defined in the target class. This happens when the sender uses a newer version of the schema, but the receiver has not been updated yet.

By default, unknown fields are silently skipped during decoding. However, you can configure the Decoder to capture them, which is useful for logging, debugging, or forwarding messages without data loss.

Storing unknown fields in memory

The UnknownFields handler stores unknown fields in a WeakMap attached to the decoded object. Once the object is garbage collected, the unknown fields are automatically cleaned up.

use Thesis\Protobuf\Decoder;
use Thesis\Protobuf\UnknownFields;

$decoder = new Decoder\Builder()
    ->withUnknownHandler(UnknownFields::handler())
    ->build();

$request = $decoder->decode($buffer, CreateUserRequest::class);

// Get unknown fields for a specific object.
$unknowns = UnknownFields::of($request);

foreach ($unknowns as $field) {
    echo "Field #{$field->tag->num}, wire type: {$field->tag->type->name}\n";
}

Each decoded object tracks its own unknown fields independently. If CreateUserRequest has a nested message with unknown fields, you can inspect them separately:

$unknowns = UnknownFields::of($request->nested);

Using a callback

The UnknownFieldsCallback handler calls a user-defined function each time unknown fields are detected. This is convenient for logging without keeping the data in memory:

use Thesis\Protobuf\Decoder;
use Thesis\Protobuf\UnknownFields;

$decoder = new Decoder\Builder()
    ->withUnknownHandler(new UnknownFields\UnknownFieldsCallback(
        static function (object $message, array $unknowns): void {
            $logger->warning('Unknown fields detected', [
                'class' => $message::class,
                'fields' => array_map(
                    static fn(UnknownFields\UnknownField $f) => $f->tag->num,
                    $unknowns,
                ),
            ]);
        },
    ))
    ->build();

Custom handler

You can implement the UnknownFields\Handler interface to define your own strategy:

use Thesis\Protobuf\UnknownFields;

final readonly class MyHandler implements UnknownFields\Handler
{
    #[\Override]
    public function handle(object $message, array $unknowns): void
    {
        // your logic here
    }
}

thesis/protobuf 适用场景与选型建议

thesis/protobuf 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 2.28k 次下载、GitHub Stars 达 4, 最近一次更新时间为 2025 年 12 月 18 日, 在 PHP 生态内属于活跃度较高的组件。

我们在过去多个企业项目中使用过 thesis/protobuf 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。

围绕 thesis/protobuf 我们能提供哪些服务?
定制开发 / 二次开发

基于 thesis/protobuf 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。

BUG 修复 & 性能优化

线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。

项目外包 & 长期维护

承接完整的项目从需求 → 设计 → 开发 → 上线 → 长期运维;也可按月提供技术保姆服务。

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统计信息

  • 总下载量: 2.28k
  • 月度下载量: 0
  • 日度下载量: 0
  • 收藏数: 4
  • 点击次数: 17
  • 依赖项目数: 8
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GitHub 信息

  • Stars: 4
  • Watchers: 0
  • Forks: 0
  • 开发语言: PHP

其他信息

  • 授权协议: MIT
  • 更新时间: 2025-12-18