Fast, simple data pipelines

License: MIT

Language: CoffeeScript

Table of Contents generated with DocToc


Fast, simple data pipelines built from first principles.

SteamPipes is the successor to PipeStreams and PipeDreams. PipeStreams was originally built on top of NodeJS streams and through; from version X███████████████ on, I switched to pull-streams.


  • Performance, X███████████████ insert benchmarks
  • Simplicity of implementation, no recursion
  • Observability, the data pipeline is an array of arrays that one may inspect



Duct Configurations

I. Special Arities

There are two special duct arities, empty and single. An empty pipeline producers a duct marked with is_empty: true; it is always a no-op, hence discardable. The duct does not have a type property.

A pipeline with a single element produces a duct with the property is_single: true; it is always equivalent to its sole transform, and its type property is that of its sole element.

SHAPE OF PIPELINE                     SHAPE OF DUCT                   REMARKS
⋆ []                                  ⇨ { is_empty:  true,       } # equiv. to a no-op
⋆ [ x, ]                              ⇨ { is_single: true,       } # equiv. to its single member

II. Open Ducts

Open ducts may always take the place of a non-composite element of the same type; this is what makes pipelines composable. As one can always replace a sequence like ( x += a ); ( x += b ); by a non-composed equivalent ( x += a + b ), so can one replace a non-composite through (i.e. a single function that transforms values) with a composite one (i.e. a list of throughs), and so on:

SHAPE OF PIPELINE                     SHAPE OF DUCT                   REMARKS
⋆ [ source, transforms...,        ]   ⇨ { type:      'source',   } # equiv. to a non-composite source
⋆ [         transforms...,        ]   ⇨ { type:      'through',  } # equiv. to a non-composite transform
⋆ [         transforms..., sink,  ]   ⇨ { type:      'sink',     } # equiv. to a non-composite sink

III. Closed Ducts

Closed ducts are pipelines that have both a source and a sink (plus any number of throughs). They are like a closed electric circuit and will start running when being passed to the pull() method (but note that actual data flow may be indefinitely postponed in case the source does not start delivering immediately).

SHAPE OF PIPELINE                     SHAPE OF DUCT                   REMARKS
⋆ [ source, transforms..., sink,  ]   ⇨ { type:      'circuit',  } # ready to run

Behavior for Ending Streams

Two ways to end a stream from inside a transform: either

  1. call send.end(), or
  2. send SP.symbols.end.

The two methods are 100% identical. In SteamPipes, 'ending a stream' means 'to break from the loop that iterates over the data source'.

Note that when the pull method receives an end signal, it will not request any further data from the source, but it will allow all data that is already in the pipeline to reach the sink just as in regular operation, and it will also supply all transforms that have requested a last value with such a terminal value.

Any of these actions may cause any of the transforms to issue an unlimited number of further values, so that, in the general case, ending a stream is not guaranteed to actually stop processing at any point in time; this is only true for properly coöperating transforms.

Aborting Streams

There's no API to abort a stream—i.e. make the stream and all transforms cease and desist immediately—but you can always wrap the pull pipeline... invocation into a try/catch clause and throw a custom symbolic value:

pipeline = []
pipeline.push $ ( d, send ) ->
  throw 'OHNOES!'
  pull pipeline...
catch error
  throw error if error isnt 'OHNOES!'
  warn "the stream was aborted"

Project Statistics

Sourcerank 2
Repository Size 186 KB
Stars 0
Forks 0
Watchers 0
Open issues 0
Dependencies 18
Contributors 1
Tags 0
Last updated
Last pushed

Top Contributors See all


Packages Referencing this Repo

Fast, simple data pipelines
Latest release 3.0.0 - Updated

Something wrong with this page? Make a suggestion

Last synced: 2019-07-16 20:42:28 UTC

Login to resync this repository