llists
Overview
An Erlang/OTP library for working with iterators; an opaque type that is evaluated as a lazily evaluated list of elements. This allows for memory efficient processing of sequential data and easy composition of processing on such lazy lists.
An interface identical to the stdlib lists module is implemented, allowing
for easy conversion between list processing code and lazy list processing
code.
Modules
| llists |
| llists_utils |
Getting Started
This library is published to hex.pm as llists. If you're using rebar3 as your build tool, it can be added as a dependency to your rebar.config as follows:
{deps, [{llists}]}.
Usage
To use this library, it is first necessary to create an iterator. This can
either be done from an existing data structure using functions like
llists:from_list/1 or by expressing the continuation programatically using
functions like llists:unfold/2.
Once an iterator is constructed, it can then be evaluated an element at a time
using llists:next/1 or by using one of the many utility and evaluation
functions in llists or llists_utils.
llists contains an iterator aware version of every function in the stdlib
lists module, with guaranteed identical behaviour for side effect free and
finite iterators.
Iterators
An iterator is an opaque record created by the llists module to represent a
continuation. When evaluated by llists:next/1 an iterator returns a lazy
list, represented by one of two options:
-
[]: An empty list, signaling that no more elements are available. -
[Elem | Iterator]: An improper list consisting of an element and an iterator to continue evaluation.
Examples
As an example task, let us calculate the mean difference between a list of
integer pairs. These pairs are stored in a
file
as comma separated values, one per line. We can use the llists module to
both read lines from the file and calculate the average lazily, thus avoiding
loading the entire file into memory during computation.
First, we need to construct the iterator:
> {ok, File} = file:open("doc/example.txt", [read]).
{ok,<0.160.0>}
> I = llists:unfold(fun(File) ->
case file:read_line(File) of
{ok, Data} ->
{Data, File};
eof ->
file:close(File),
none
end
end, File).
{iterator,#Fun<llists.2.51622540>}
Next, a loop to parse the strings and calculate the mean difference:
> F = fun Calculate(I, Sum, Count) ->
case llists:next(I) of
[] ->
Sum / Count;
[Elem | Next] ->
[A, B] = [list_to_integer(string:trim(Part)) ||
Part <- string:split(Elem, ",")],
Calculate(Next, Sum + (A - B), Count + 1)
end
end.
#Fun<erl_eval.42.128620087>
> F(I, 0, 0).
-0.42
We could also make use of the utility functions in llists and compose the
same result as follows:
> Split = llists:map(fun (Elem) ->
string:split(Elem, ",")
end, I).
{iterator,#Fun<llists.23.51622540>}
> Integers = llists:map(fun (Parts) ->
[list_to_integer(string:trim(Part)) || Part <- Parts]
end, Split).
{iterator,#Fun<llists.23.51622540>}
> {Sum, Count} = llists:foldl(fun ([A, B], {Sum, Count}) ->
{Sum + (A - B), Count + 1}
end, {0, 0}, Integers).
{-42,100}
> Sum / Count.
-0.42
In both examples, we read only a single line of the file into memory at a time.
Notice that we couldn't use llists:sum/1 and llists:length/1 here instead
of llists:foldl/3, since out input iterator has side effects and can only be
evaluated once.
Contributing
Please fork the repo and submit a PR. Tests are run via:
rebar3 as test do eunit, proper
Documentation is autogenerated using edown and edoc via:
rebar3 as markdown edoc
The library has only been tested with Erlang/OTP 21 on Ubuntu Linux and Windows 10. Reports of success (or failure!) on other versions and operating systems are appreciated.
Lineage
Streams and lazily evaluated lists are common language constructs and much prior art exists. Scheme's SRFI-41 served as a useful design document to base this work on.
Other implementations that were used for reference:
- Elixir's standard library Stream module.
- The Erlang stream module from the Datum library.
- The zlist Erlang library.
- The infinite lists example from the Erlang documentation.