@yahyeapps/stream-chain-clone
v4.2.2
Published
Chain functions, generators, Node streams, and Web streams into a pipeline with backpressure support.
Maintainers
Readme
stream-chain 
stream-chain creates a chain of streams out of regular functions, asynchronous functions, generator functions, existing Node streams, and Web streams, while properly handling backpressure. The resulting chain is represented as a Duplex stream, which can be combined with other streams the usual way. It eliminates boilerplate helping to concentrate on functionality without losing performance, making it easy to build object mode data processing pipelines.
Originally stream-chain was used internally with stream-fork and stream-json to create flexible data processing pipelines.
stream-chain is a lightweight, no-dependencies micro-package with TS typings. It is distributed under New BSD license.
Intro
import chain from 'stream-chain';
// or: const {chain} = require('stream-chain');
import fs from 'node:fs';
import zlib from 'node:zlib';
import {Transform} from 'node:stream';
// this chain object will work on a stream of numbers
const pipeline = chain([
// transforms a value
x => x * x,
// returns several values
x => chain.many([x - 1, x, x + 1]),
// waits for an asynchronous operation
async x => await getTotalFromDatabaseByKey(x),
// returns multiple values with a generator
function* (x) {
for (let i = x; i > 0; --i) {
yield i;
}
return 0;
},
// filters out even values
x => (x % 2 ? x : null),
// uses an arbitrary transform stream
new Transform({
objectMode: true,
transform(x, _, callback) {
callback(null, x + 1);
}
}),
// transform to strings
x => '' + x,
// compress
zlib.createGzip()
]);
// the chain object is a regular stream
// it can be used with normal stream methods
// log errors
pipeline.on('error', error => console.log(error));
// use the chain object, and save the result to a file
dataSource.pipe(pipeline).pipe(fs.createWriteStream('output.txt.gz'));Making processing pipelines appears to be easy: just chain functions one after another, and we are done. Real life pipelines filter objects out and/or produce more objects out of a few ones. On top of that we have to deal with asynchronous operations, while processing or producing data: networking, databases, files, user responses, and so on. Unequal number of values per stage, and unequal throughput of stages introduced problems like backpressure, which requires algorithms implemented by streams.
While a lot of API improvements were made to make streams easy to use, in reality, a lot of boilerplate is required when creating a pipeline. stream-chain eliminates most of it.
Installation
npm i --save stream-chain
# or: yarn add stream-chainDocumentation
All documentation can be found in the wiki. It documents in detail the main function and various utilities and helpers that can simplify stream programming. Additionally it includes a support for JSONL (line-separated JSON files).
An object that is returned by chain() is based on Duplex. It chains its dependents in a single pipeline optionally binding error events.
Many details about this package can be discovered by looking at test files located in tests/ and in the source code (src/).
chain(fns[, options])
The factory function accepts the following arguments:
fnsis an array of functions, arrays or stream instances.If a value is a function, it is a candidate for a Transform stream (see below for more details), which calls this function with two parameters:
chunk(an object), and an optionalencoding. See Node's documentation for more details on those parameters.- If it is a regular function, it can return:
Regular value:
- If it is
undefinedornull, no value shall be passed. - Otherwise, the value will be passed to the next stream.
// produces no values: x => null; x => undefined; // produces one value: x => x;- If it is
Special value:
If it is an instance of Promise or "thenable" (an object with a method called
then()), it will be waited for. Its result should be a regular value.// delays by 0.5s: x => new Promise(resolve => setTimeout(() => resolve(x), 500));If it is an instance of a generator or "nextable" (an object with a method called
next()), it will be iterated according to the generator protocol. The results should be regular values.// produces multiple values: class Nextable { constructor(x) { this.x = x; this.i = -1; } next() { return { done: this.i > 1, value: this.x + this.i++ }; } } x => new Nextable(x);next()can return aPromiseaccording to the asynchronous generator protocol.
Any thrown exception will be caught and passed to a callback function effectively generating an error event.
// fails x => { throw new Error('Bad!'); };
- If it is a regular function, it can return:
If it is an asynchronous function, it can return a regular value.
- In essence, it is covered under "special values" as a function that returns a promise.
// delays by 0.5s: async x => { await new Promise(resolve => setTimeout(() => resolve(), 500)); return x; };If it is a generator function, each yield should produce a regular value.
- In essence, it is covered under "special values" as a function that returns a generator object.
// produces multiple values: function* (x) { for (let i = -1; i <= 1; ++i) { if (i) yield x + i; } return x; }If it is an asynchronous generator function, each yield should produce a regular value.
- In essence, it is covered under "special values" as a function that returns a generator object.
// produces multiple values: async function* (x) { for (let i = -1; i <= 1; ++i) { if (i) { await new Promise(resolve => setTimeout(() => resolve(), 50)); yield x + i; } } return x; }If a value is an array, its items are assumed to be functions, streams or other such arrays. The array is flattened, all individual items are included in a chain sequentially.
- It is a provision to create lightweight bundles from pipeline items.
If a value is a valid stream, it is included as is in the pipeline.
- Transform.
- Duplex.
- The very first stream can be Readable.
- In this case the pipeline ignores all possible writes to the front, and ends when the first stream ends.
- The very last stream can be Writable.
- In this case the pipeline does not produce any output, and finishes when the last stream finishes.
- Because
'data'event is not used in this case, the instance resumes itself automatically. Read about it in Node's documentation:
If a value is a web stream object (like
ReadableStreamorWritableStream), the/nodechain (the default) adapts it to a corresponding Node stream and includes it in the pipeline. For a chain that runs natively on Web Streams without Node-interop, import fromstream-chain/web.
optionsis an optional object detailed in the Node's documentation.The default options is this object:
{writableObjectMode: true, readableObjectMode: true}If
optionsis specified it is copied over the default options.Always make sure that
writableObjectModeis the same as the corresponding object mode of the first stream, andreadableObjectModeis the same as the corresponding object mode of the last stream.- Eventually both these modes can be deduced, but Node does not define the standard way to determine it, so currently it cannot be done reliably.
Additionally the following custom properties are recognized:
skipEventsis an optional boolean flag. If it is falsy (the default),'error'events from all streams are forwarded to the created instance. If it is truthy, no event forwarding is made. A user can always do so externally or in a constructor of derived classes.noGroupingis an optional boolean flag. If it is falsy (the default), all subsequent functions are grouped together using thegen()utility for improved performance. If it is specified and truthy, all functions will be wrapped as streams individually. This mode is compatible with how the 2.x version works.
An instance can be used to attach handlers for stream events.
const pipeline = chain([x => x * x, x => [x - 1, x, x + 1]]);
pipeline.on('error', error => console.error(error));
dataSource.pipe(pipeline);JSONL
stream-chain ships with parsing and stringification for JSON Lines under stream-chain/jsonl/:
parser()— substrate-free parser pipeline. Lift viaasStream()/asWebStream(), or drop into achain([...]).parserStream()/parserWebStream()— NodeDuplexand Web Streams{readable, writable}wrappers.stringer()/stringerStream()/stringerWebStream()— the matching serializers.- Per-line error handling via
errorIndicator(substitute a value or call a function for failed lines) in addition to the legacyignoreErrors: true.
Prefer one factory carrying the adapters as methods (jsonlParser.asStream() / .asWebStream())? Import a substrate-flavored entry — stream-chain/node/jsonl/parser.js (Node, both adapters) or stream-chain/web/jsonl/parser.js (Web, browser-safe), and likewise for the stringer. The stream-chain/node/jsonl and stream-chain/web/jsonl barrels bundle each substrate's {jsonlParser, jsonlStringer}. See the wiki for the surface and a stream-json migration table.
For reading from / writing to local files, you can use the file-edge composites in stream-chain/jsonl/file/:
parseFile()—(path) => AsyncGenerator<{key, value}>— parses a JSONL file emitting one{key, value}record per line.keyis the zero-based line index in the input;valueis the parsed object from that line.stringerToFile(path)— saves a stream of objects to a JSONL file.
These fuse the file I/O and the parsing/stringification into one pipeline, skipping the per-chunk Transform/Writable boundaries of an equivalent fs.createReadStream → parserStream → ... → stringerStream → fs.createWriteStream arrangement. Workloads on local files are faster as a result.
It is a performance option — benchmark in your own conditions with your own processing code before making a decision.
A round-trip pipeline — read a JSONL file, process each record, write the result back out:
import chain from 'stream-chain';
import parseFile from 'stream-chain/jsonl/file/parser.js';
import stringerToFile from 'stream-chain/jsonl/file/stringer.js';
const c = chain([
parseFile(), // emits {key, value} per input line
r => ({...r.value, processed: true}), // your per-record processing
stringerToFile('output.jsonl') // writes back as JSONL
]);
c.on('finish', () => console.log('done'));
c.end('input.jsonl');The file-edge components drop straight into chain([...]) as ordinary stages; the chain fuses them into a single internal pipeline. Writing the input path once and ending closes both ends — the input reader streams the file, and the writer's flushable runs on stream-end to close the output file handle.
See the wiki for full documentation.
License
BSD-3-Clause
Release History
- 4.2.2 Bugfix: eliminated file handle leak, cleaned up exports.
- 4.2.1 Factory-bundled JSONL entries —
stream-chain/node/jsonl&stream-chain/web/jsonlcarry.asStream/.asWebStream. Bugfix: removedcheckedParse(), mistakenly exposed in 4.2.0. - 4.2.0 JSONL file-edge components (perf):
parseFile(),stringerToFile()+errorIndicatoroption. Bugfix: now/corechain passes strings as a single value. - 4.1.1 Performance: faster synchronous pipelines.
- 4.1.0 Web Streams parity: new
readableWebStreamFrom(),reduceWebStream(),parserWebStream(),stringerWebStream()+dataSource()+ minor bugfix. - 4.0.2
fixUtf8Stream()now works on browsers. - 4.0.1 Minor bugfixes. No API changes.
- 4.0.0 Major: moved to ESM. New subpath split:
/node(default),/web(native Web Streams),/core(substrate-free). NewasWebStream()adapter with per-item backpressure. See the Migration guide. - 3.6.3 TS inference updates: improvements and found bugs. Updated deps.
- 3.6.2 Improved TS typings:
ChainOutput<W, R>propagatesRto events and methods (thx Scover). Updated deps. - 3.6.1 Technical release: updated deps.
- 3.6.0 Performance: sync-first
fun()(~2.5× faster for sync pipelines, now returnsMany | Promise<Many>). Sync fast path ingen()(~1.6× faster). Documentednull/undefinedhandling differences. Wiki: renamed V2 files for Windows compatibility. - 3.5.1 Fixed
finishevent not firing afterstop. Web stream detection uses duck-typing instead ofinstanceof(supports non-standard web streams) (thx Alex Yang). Performance: unified fast path inasStream(). - 3.5.0 Variadic
combineMany()andcombineManyMut(). FixedreadableFrom()unhandled rejection bug. Improved TS typings, docs, andpackage.jsonmetadata.
The full release notes are in the wiki: Release notes.
