stann/stream
Composer 安装命令:
composer require stann/stream
包简介
Pipe-native stream processing for PHP 8.5+ — lazy, curried, zero-dependency collection functions designed for the |> pipe operator.
README 文档
README
Pipe-native stream functions for PHP 8.5+. Curried, lazy, zero-wrapper.
use function Stann\Stream\{filter, map, take, toArray}; $result = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |> filter(fn(int $n) => $n % 2 === 0) |> map(fn(int $n) => $n * 10) |> take(3) |> toArray(); // [20, 40, 60]
Philosophy
No Collection object. No method chaining. Just pure functions designed for the PHP 8.5 pipe operator (|>).
Each function is curried: it takes its configuration and returns a Closure that accepts an iterable. The pipe operator does the wiring.
data |> transform(config) |> transform(config) |> terminator(config)
- Data-last — like Ramda (JS) or Elixir pipes
- Lazy by default — transformations return Generators, nothing executes until consumed
- Zero dependency — just PHP 8.5
Installation
composer require stann/stream
Requires PHP 8.5+ (for the pipe operator |>).
Quick Start
use function Stann\Stream\{filter, map, take, toArray}; // Simple pipeline $emails = $users |> filter(fn(User $u) => $u->isActive()) |> map(fn(User $u) => $u->email) |> map(trim(...)) |> toArray(); // Lazy evaluation — only 100 elements processed, not all $result = $hugeDataset |> filter(fn($row) => $row['status'] === 'ok') |> map(fn($row) => transform($row)) |> take(100) |> toArray();
API
Full documentation with signatures and examples: docs/API.md
Transformations
Lazy (Generator-based) unless noted as blocking.
map— Apply a callback to each elementfilter— Keep elements matching a predicate (without callback: remove falsy values)flatMap— Map then flatten one levelflatten— Flatten one level of nested iterablestake— Take the first N elementstakeWhile— Take while predicate holdsskip— Skip the first N elementsskipWhile— Skip while predicate holdschunk— Split into fixed-size chunksgroupBy— Group by key function (blocking)sortBy— Sort by key function (blocking)unique— Remove duplicateszip— Combine two iterables into pairsconcat— Append another iterableenumerate— Pair elements with their indexscan— Running fold (intermediate values)reverse— Reverse elements (blocking)keys— Extract keysvalues— Extract valuespluck— Extract a property/key from each elementtap— Side effect without altering the stream
Terminators
Consume the iterable and return a final value.
toArray— Convert to arrayreduce— Fold into a single valuefirst— First element (optionally matching predicate)last— Last element (optionally matching predicate)count— Count elementssum— Sum elementsmin— Minimum elementmax— Maximum elementjoin— Join into a stringcontains— Check if value existsevery— All match predicate?some— Any match predicate?partition— Split into two arrays by predicateeach— Consume with side effect (void)
Patterns
Pagination
$page3 = $items |> sortBy(fn(Item $i) => $i->name) |> skip(($page - 1) * $perPage) |> take($perPage) |> toArray();
Batch Processing
$items |> chunk(50) |> map(fn(array $batch) => processBatch($batch)) |> flatMap(fn(array $results) => $results) |> toArray();
Aggregation
$byCountry = $customers |> filter(fn(Customer $c) => $c->revenue > 1000) |> groupBy(fn(Customer $c) => $c->country) |> map(fn(array $group) => $group |> sum(fn($c) => $c->revenue));
Price Calculation
$total = $prices |> zip($quantities) |> map(fn(array $pair) => $pair[0] * $pair[1]) |> sum();
Running Totals
$runningTotal = $transactions |> map(fn(Transaction $t) => $t->amount) |> scan(fn(float $acc, float $v) => $acc + $v, 0.0) |> toArray();
Extending with Custom Steps
The pipe is open by design. Any function that takes an iterable and returns an iterable (or a final value) fits right in — no interface to implement, no class to extend.
Without parameters — use (...)
function removeNulls(iterable $items): Generator { foreach ($items as $value) { if ($value !== null) { yield $value; } } } $data |> removeNulls(...) |> map(fn($v) => $v * 2) |> toArray();
With parameters — use currying
function olderThan(int $minAge): Closure { return static function (iterable $items) use ($minAge): Generator { foreach ($items as $user) { if ($user->age >= $minAge) { yield $user; } } }; } $users |> olderThan(18) |> filter(fn(User $u) => $u->isActive()) |> map(fn(User $u) => $u->email) |> map(trim(...)) |> toArray();
Both approaches mix naturally with the library's functions. The only rule: the pipe expects a single-argument callable (iterable → something).
How It Works
Every function follows the same pattern:
function map(callable $fn): Closure { return static function (iterable $items) use ($fn): Generator { foreach ($items as $key => $value) { yield $key => $fn($value, $key); } }; }
- Takes configuration (the callback, size, etc.)
- Returns a Closure that accepts
iterable - The pipe operator passes the data
This is currying — you fix the transformation, and the pipe injects the data.
Lazy vs Blocking
| Lazy (Generator) | Blocking (array) |
|---|---|
map, filter, flatMap, flatten, take, takeWhile skip, skipWhile, chunk, zip, concat, enumerate scan, unique, keys, values, pluck, tap |
sortBy, groupBy, reverse |
Blocking operations need all data upfront (you can't sort without seeing everything). Lazy operations process elements one by one.
Development
composer install composer test # PHPUnit composer phpstan # Static analysis (level 8) composer cs-check # Code style check composer cs-fix # Auto-fix code style
License
MIT
stann/stream 适用场景与选型建议
stann/stream 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 1.96k 次下载、GitHub Stars 达 2, 最近一次更新时间为 2026 年 02 月 19 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 stann/stream 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。
基于 stann/stream 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。
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。
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。
统计信息
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其他信息
- 授权协议: MIT
- 更新时间: 2026-02-19