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Erlang Basics

Erlang is a general-purpose programming language and a runtime environment. It has built-in support for concurrency, distribution and fault-tolerance.

These are my notes taken while learning about its basics and reading through Learn you some Erlang for Great Good! by Fred Hebert. It is available online.

The document covers only the very introduction to Erlang. OTP and application design are outside of the scope.

1 Overview

Whenever somebody starts talking about building robust distributed systems in .NET, Java, Go etc, then that is the response they can get (from HN):

…basically re-creating Erlang from the ground up, except half broken and not learning from Erlang's 20-30 year history

Joe Armstrong's thesis is said to capture these lessons, but it is 295 page doctorate thesis. A shorter version is in one of his talks.

The other sources include Erlang Factory talks, books Learn You Some Erlang, Joe's, etc.

They say, that these lessons can be summarized as:

  1. CPUs aren't getting faster these days, so we are stuck building distributed and highly concurrent systems.
  2. These systems are better to be fault-tolerant. Especially we don't want a single corner-case scenario (triggered by an unlucky user) to bring down system for millions of the other connected clients.
  3. This tolerance can be achieved by composing systems from components, isolated to prevent failure from spreading.
  4. Isolation can be achieved via:
    1. A runtime that prevents memory sharing (OS Processes or Erlang VM, except that Erlang allows to have millions of procs).
    2. Proving that memory can't be shared (Rust's compiler can do this, making sure that you will not have data races. This is really exciting).
    3. Running in a container, VM or different PC. Keep in mind: a service running on a single machine isn't fault-tolerant.
  5. Isolated components need to communicate (they can't share memory), this can be achieved by sending messages. Such approach is called "actor model". Besides Erlang, there are many libraries and frameworks supporting it: Orleans, Akka etc
  6. Erlang is special, since it has:
    1. very light-weight processes which could be restarted very quickly (300 words each and take microseconds to create);
    2. ability for processes to monitor the other processes;
    3. communication only via messages which are copied, passed asynchronously and could easily go to another node.
  7. In addition to processes and actors, Erlang also comes with:
    1. Functional programming approach: no side effects, immutable data, explicit state updates. This makes code more explicit.
    2. Open Telecom Platform is a collection of middleware, libraries and tools (including an application server). It could be used to build, monitor and distribute these components.
    3. Monitoring and debugging capabilities. You could connect to Erlang VM node to inspect, trace, debug or even update code. All that without stopping a system.
    4. Decades worth of experience of building such systems. For example, Erlang is used heavily by Motorola, Ericsson, T-Mobile, Amazon, Yahoo, Facebook etc.
  8. Elixir is Erlang-esque language with improved code organization capabilities (source):
    1. Compile-time macros (which work on AST)
    2. Pipeline operator
    3. Polymorphism via protocols
    4. Mix tool (to like npm for node.js)
    5. It still runs on Erlang VM

How hard is it to start developing Erlang?

2 Erlang basics

2.1 Getting started

  • Install On OSX brew install erlang.
  • Launch REPL erl.
  • Abort Ctrl+G then q or q().

2.2 Immutable variables

All variables are immutable and named PascalCase. They are assigned for the first time using the pattern matching operator =.

> One = 1.
> Two = One + 1.

2.3 Atoms

Atoms are constant literals, with a backing 4 or 8 byte integer. They are written in lowercase or with_understore. They are used in pattern matching.

2.4 Boolean algebra

Erlang has the usual boolean comparison operators and, or, xor, not. These operators always evaluate both sides of the equation, while andalso and orelse are shortcut operators.

2.5 Comparison and Equality

Equality operators are freaky: =:= and =/=. They test for precise equality.

Comparison operators are slightly lighter: == and /=, they are more relaxed. For example:

> 1 =:= 1.0.
> 1 == 1.0.

The other comparison operators are just slightly weird: <, >, =< and >=.

2.6 Tuples

Tuples group multiple items together: {point,10,5}. You can also destructure a tuple via pattern matching to an unbound variable:

> Point = {point,10,5}.
> {point,X,Y}=Point.
> X.

Tuples could be nested easily: {point,{10,5}}.

2.7 Lists

Lists in erlang are constructed like [E1,E2,...E3] and could have different elements inside: [1,2,{point,{3,4}},4.5].

There is a catch. Strings in erlang are also lists of numbers. If all numbers in a list could represent a letter, then erlang will print it as string.

To glue lists together use ++ and to split --:

> [1,2,3] ++ [4,5].
> [1,2,3] -- [1,2].

These operations are right-associative, meaning that they are done from right to left:

> [1,2,3]--[1,2]--[3].

You can use [Head|Tail] pattern to compose lists (adding head is fast in erlang) and also to descructure them, where | is called a cons. In fact, any list can be constructed with [E1|[E2|[E3]]].

Note, that we can construct an improper list [2|3], which will throw errors.

2.8 List comprehensions

List comprehensions allow to generate and modify lists in a conscise way:

~[Expr || Gen1, Gen2...., Cond1, Cond2...]~.

For example:

> [{X,Y}||X<-[1,2],Y<-[1,2],X==Y].

We can also use pattern matching and existing lists:

> Weather = [{ufa,sun},{moscow,rain},{odessa,fog},{spb,rain}].
> Rainy = [City || {City,rain} <-Weather].
[moscow, spb]

2.9 Binary Data

To express binary data we can use:

  • hexadecimal notation: 16#AACCEE.
  • bit syntax: <<16#AACCEE:24>> (put these bytes into 24 bit space).

For example:

% declare a bunch of bytes
> Bytes = <<13,234,12,34,41,1,151>>.
% Take first byte and treat the rest as binary
> <<First:8,Rest/binary>> = Bytes.

In general, binary segment could be described as:

  • Value
  • Value:Size
  • Value/TypeSpecifier
  • Value:Size/TypeSpecifier

Where Size is in bits, if TypeSpecifier is not provided. The latter could be a hyphen-separated list of:

  • Type: integer (default), float, binary, bitstring, bits, utf8, utf16, utf32, bytes (synonym for binary), bits (synonym for bitstring).
  • Sign: signed and unsigned (default), matters only for integer.
  • Endianness: big (default), little and native (from the current CPU). This applies for integer, utf16, utf32 or float.
  • Unit: this is written unit:integer, where the value must be between 1 and 256. It is used for field alignment.

Given that, it is trivial to parse TCP segment:

  CheckSum: 16,
= SomeBinary.

2.10 Binary Operations

Erlang has a common set of operators:

  • bsr and bsl - bit shift left/right.
  • band, bor, bxor, bnot

2.11 Binary strings

Binary strings are a bolted abstraction on top of lists: <<"Some string">>. It is hard to pattern-match them, so they are mainly used for text storage.

2.12 Binary comprehensions

You can deal with binaries using a special form of comprehension syntax.

% Let us define some bytes
> Pixels = <<123,34,21,45,102,32,65,61,62>>.

% Read them as a sequence of RGBS
> RGBs = [ {R,G,B} || <<R:8,G:8,B:8>> <= Pixels ].

% convert these RGBs back to bits
> Bits = << <<R:8,G:8,B:8>> || {R,G,B} <- RGBs >>.

3 Modules

3.1 Defining

Erlang modules are represented as files with a bunch of attributes in -name(Attribute) form. The only required attribute is name: -module(useless), it should match to the file name without the extension.

-export([add/2, multiply/2]).

add(A,B) ->
  A + B.

multiply(A,B) ->
  A * B.

3.2 Compiling

In order to compile a module:

  • in command line: erlc flags module.erl;
  • in shell or a module: compile:file(module.erl);
  • in shell: c(useless).;
  • in Emacs buffer: C-c C-k (it will also load the module in REPL).

3.3 Referencing

We call functions from the other modules as module:function(args). In order to importn the namespace:

-import(Module, [Function1/Arity, ..., FunctionN/Arity]).

3.4 Macros

Macros in Erlang are similar to compiler directives. They are defined as -define(MACRO,SomeValue). (where SomeValue is True if skipped), and could be referenced in the code as ?MACRO.

We also have some predefined macros:

  • ?MODULE - current module as an atom
  • ?FILE - current file name as a string
  • ?LINE - current line as an integer

Macros can be tested: ifdef, else and endif. For example, you could provide a debugging macro:

-define(DEBUG(S), io:format("dbg: "++S)).
-define(DEBUG(S), ok).

?DEBUG("entering some function")

If DEBUGMODULE macro is defined, then we will have debugging, otherwise we will have an ok atom.

3.5 Metadata

Compiler will capture all module metadata and make them available in module_info/0 function, for example useless:module_info().

4 Functions

4.1 Pattern matching

Erlang provides pattern matching in the form of multiple function clauses separated by ;.

function(X) ->
function(Y) ->
function(_) ->

We can match on lists in the patterns:

head([Head|_]) -> Head;
head([])       -> [].

We can do even fancier stuff, by destructuring in function head:

add({Date = {YYYY,MM,DD}, Increment = {days, Days}}) ->

4.2 Guards

Guards are additional that can go in function head to make it more specific. The syntax is like this:

% constrain by Expr1 (must be true)
function(args) when Expr1 -> Expression.
% Expr1 and Expr2 must be true
function(args) when Expr1, Expr2 -> Expression.
% Expr1 or Expr2 must be true
function(args) when Expr1; Expr2 -> Expression.

You can also use andalso and orelse inside guards. They are similar, but can be nested, however shortcut operators can fail (normal guard can proceed even if the first argument fails with exception).

Guards will not accept user-defined functions! This is done to guarantee that we don't get any side effects there.

4.3 Guard patterns (ifs)

Guard patterns are defined with if inside functions, they share the syntax. They must have catch-all clause, though:

some(A) ->
  if A =:= 1 -> one;
  true -> something_else

Generally, if patterns were written to get benefit if case statement (below) but without the need to write full syntax.

4.4 Case … if

Case allows to have normal pattern matching inside a function.

case Arg of:
  Pattern [Guards] -> Expression;
  Pattern [Guards] -> Expression;
  _ -> Expression

In essence, this expression could be rewritten as

fun (Pattern) [Guards] -> Expression;
fun (Pattern) [Guards] -> Expression;
fun (_) -> Expression.

4.5 Choosing between guards, if and case

Just use whichever makes the code more simple. Performance differences are negligible.

4.6 Bound and unbound variables

Bound and unbound variables behave differently when we do pattern matching:

  • unbound - attaches value to them;
  • bound - error, unless new value is the same as the old one.

5 Types

Erlang has a dynamic type system.

This is aligned with a general belief that a failure in one subsystem shouldn't bring the others down. Erlang worries more about keeping the systems running, that trying to have error-free code. It is easier to do hot code reloading in a system with dynamic typing.

Erlang is also strongly typed, performing type checks at runtime. For example 1 + lama would throw an error.

5.1 Type conversions

Type conversions in Erlang are implemented with BIFs in erlang module:

>  erlang:list_to_integer("54").
> erlang:integer_to_list(42).
> erlang:atom_to_list(atom).

There are many more conversions of this type.

5.2 Type-test BIFs

Type-test BIFs are special BIFs that can be used in guard clauses: is_binary, is_atom etc. They help to write declarative code:

Func(Arg) when is_atom(Arg) -> atom;
Func(Arg) when is_binary(Arg) -> binary;

6 Recursion

Erlang has functions that can call themselves - recursive functions. That is the looping construct (aside from list comprehensions) that exists in the language.

6.1 Basics

It is usually advised to start writing a recursive function from a base case (a well known scenario, when recursion terminates).

Here is an example of function that calculates length of the list:

len([]) -> 0;
len([_]) -> 1;
len([_|Tail]) -> 1+len(Tail).

6.2 Tail recursion

Tail recursion aims to eleminate stacking of recursive operations as they happen by reducing them as they happen. Erlang could optimize tail calls.

Let's rewrite our function to transform it into a tail recursion:

tail_len(N) -> tail_len(0,N).

tail_len(Acc,[]) -> Acc;
tail_len(Acc,[_]) -> Acc+1;
tail_len(Acc,[_,Tail]) -> tail_len(Acc+1,Tail).

If function is calling itself in a tail position (last expression to be evaluated is the function itelf), then Erlang VM could avoid storing current stack frame. This is called tail call optimization (a specific case of last call optimization).

Such optimizations make tail recursions useful and alvoid wasting a lot of memory. Even if tail call optimization doesn't work, large per-process stack of Erlang VM could help to handle some scenarios.

6.3 More recursive functions

Just to get into the habit.

repeat/2 function:

repeat(0,_) -> [];
repeat(N,X) when N > 0 -> [X|repeat(N-1,X)].

and tail-recursive function:

tail_repeat(N,X) -> tail_repeat([], N, X).

tail_repeat(L, 0, _) -> L;
tail_repeat(L, N, X) when N > 0 -> tail_repeat([X | L], N-1, X).

Tail-recursive reverse function (note, that there is a BIF lists:reverse/1):

reverse(L) -> tail_reverse([],L).
tail_reverse(Acc, []) -> Acc;
tail_reverse(Acc, [H|T]) -> tail_reverse([H|Acc], T).

Tail-recursive sublist function:

head(L,N) -> reverse(head([], L, N)).

head(Acc, _, 0) -> Acc;
head(Acc, [], _) -> Acc;
head(Acc, [H|T], N) -> head([H|Acc], T, N-1).

7 Higher order functions

Higher order function is a function which can accept reference to another function as an argument.

7.1 Basics

Let's define a map/2 function:

map(_, []) -> [];
map(F, [H|T]) -> [F(H)|map(F,T)].

If we put it into a useless module and also add inc(X)->X+1, then:

> useless:map(fun useless:/1, [1,2,3]).

7.2 Anonymous functions

Always declaring functions can be boring, hence the inline version.

> Fn = fun(A) -> A end.
> Fn(1).

In general an anonymous function can be declared as:

fun(Arg1) -> Expr1, Expr2, ... Expr N;
(Args2) -> Expr1, Expr2, ... Expr N;
(Args3) -> Expr1, Expr2, ... Expr N

In erlang anonymous functions inherit the scope that they have been declared in. We can have closures (capturing some variables that were a part of the scope).

In the shell:

> Var = 1.
> Closure = fun() -> Var end.
> Closure().

Assigning function to a variable

Fx = fun useless:is_odd/2

7.3 More function helpers

Just a bunch of common helpers:

  • lists:reverse/1;
  • lists:map/2 (Select in LINQ);
  • lists:filter/2 (Where in LINQ);
  • lists:foldl/3 (Aggregate, starting left);
  • lists:foldr/3;
  • all/2 and any/2;
  • dropwhile/2 and takewhile/2;
  • partition/2 - generates two lists, where predicate matches and not;
  • flatten/1 - select many.

8 Exceptions

There are 3 types of exceptions in erlang: errors, exits and throws.

8.1 Error

Errors can be created by erlang:error(Reason). They will abort execution of the function and return a stack trace with all the arguments.

8.2 Internal Exits

These are called with exit/1. They don't have a stack trace and are generally used to pass "last breath" information between the processes.

8.3 Throws

Throws (created by throw/1) are used to control the excecution flow. They can also be used for non-local returns in deep recursion (e.g. deep function would throw exception for a top-level function to catch and return a default value to the user).

8.4 Catching exceptions

Exceptions can be handled with try...of...catch block:

try Expression of
  SuccessPattern -> Expression;
  SuccessPattern -> Expression
  TypeOfError:ExceptionPattern -> Expression;
  TypeOfError:ExceptionPattern -> Expression

where TypeOfError can be: error, throw or exit, defaulting to throw if skipped.

There also is a special catch-all pattern: _:_, which will handle any exception type.

Expression between try...of could be a function or just a whole bunch of expressions: Expr1, Expr2... ExprN. This section is called protected.

It is also possible to have finally block, which can't retrun any value but would be used for its side effects (e.g. closing a file). It is called after in erlang.

The protected section can't be tail-recursive, since the VM would keep a reference, in case an exception shows up. Code between catch..of isn't protected and could be tail-recursive, unless after block is specified.

8.5 Catch construct

This is a weird one. Keyword catch could be used alone to capture all either exception or a good result out of an expression: catch Expression.

9 Common data structures

9.1 Records

Records are a hack that were added to the language later. They provide a syntactic sugar on top of the ordinary typles.

9.1.1 Defining Records

Records are defined as module attributes:

-record(creature, {

This is a creature with some fields and default values.

first_creature() ->

If we try running the code, tuple would be visible:

> record:first_creature().

Ok, these are the raw tuples. Let's load record definitions into the shell by rr(Module):

> rr(record).
> record:first_creature().
#creature{name = "Zombie",color = black,life = 1,attack = 1,
          abilities = [drain_life]}

There are a few erlang shell helpers to deal with records:

  • rd(Name, Definition) - define records in the shell, as if this were a module attribute;
  • rf(), rf(Name) and rf([Names]) - flush all records, specific one or a list;
  • rl(), rl(Name) and rl([Names]) - print shell records in a copy-pasteable way.

9.1.2 Reading values

You can read values from a record either via pattern matching (as if they were a tuple) or via a helping syntax (which is like an object cast):

> Zombie#creature.name.

Things could get pretty messy, if we have nested records (each one has to be cast separately).

On the bright side, we get a nice and short pattern matching (without the need to write full tuple declaration):

damage(#creature{life=Life, name=Name}, Damage)
  when Damage >= Life ->
    "Die " ++ Name;
damage(#creature{color=black,name=Name}, Damage) ->
    "Suffer you, black " ++ Name.

Then, in the console:

> record:damage(Zombie,0).
"Suffer you, black Zombie"
> record:damage(Zombie,1).
"Die, Zombie"

9.1.3 Updating Records

Records would be useless, if we couldn't update them:

real_damage(Meat = #creature{life=Life}, Damage)
  when Damage < Life ->

This syntax is just a short-cut for calling erlang:setelement/3 behind the scenes.

Then, deal some damage in console manually and via the function:

> ZombieKing = Zombie#creature{life=5}.
#creature{name = "Zombie",color = black,life = 5,attack = 1,
          abilities = [drain_life]}
> record:real_damage(ZombieKing, 2).
#creature{name = "Zombie",color = black,life = 3,attack = 1,
          abilities = [drain_life]}

9.1.4 Sharing records

Theoretically, it is possible to share records by declaring them inside a shared header file, which would then be included in the other erlang files:

% just some header file
-record(damage, {amount = 1, color}).

This block could be included into the original module, and then used normally:


black_damage(Amount) ->
    #damage{amount = Amount, color = black}.

Now, reload the records and test the command:

> rr(record).
> record:black_damage(1).
#damage{amount = 1,color = black}

However, sharing records between modules like this isn't a good idea. It exposes fragile data structure implementations (guts) to the outside world and is as bad as sharing database between multiple services.

A better approach would be to expose getter and setter functions, which would allow manipulating records while hiding the implementation details.

9.2 Key/Value Stores

For storing small amounts of data we have a property list (proplist) and an ordered dictionary (orddict).

9.2.1 Proplist

Prolist is a loose bag of [{Key,Value}...] useful for storing small amounts of data. You create it by constructing manually, update in a light-weight manner by appending a new item NewList = [NewItem|OldList]. Then you can use methods in prolists module to lookup, replace, compact etc.

Proplists are defined very loosely and are usually used for managing configuration settings.

9.2.2 Orddict

orddict module provides a more formal key-value store that works well for up to 75 elements:

  • unique keys that are also ordered;
  • faster lookups;
  • items must respect strict {Key,Value} structure.

It is best to avoid manipulating the orddict instance directly and rely on the methods:

  • new/0 and from_list/1 to create;
  • store/3 to save;
  • find/2, fetch/2 to get;
  • erase/2 to delete.

9.2.3 Dict vs gb-tree

dict module exposes the same interface as orddict. It works well for larger datasets and also has fold/2 method.

gb_tree is a rebalancing tree with slow insertions (updates and reads are rather fast). It provides more direct access to the data structure (e.g. allows to perform updates without checks) but doesn't have fold/2 (requires using iterators on a subtree instead).

9.3 Other data structures

9.3.1 Sets

Erlang has for main modules to deal with sets:

  • ordsets - slowest, but the most simple, implemented as ordered list;
  • sets - same interface as ordsets but scales better and has faster reads, supports =:= operator;
  • gb_sets - same interface, but provides more fine-grained control;
  • sofs - sets of sets, for mathematical reasoning.

9.3.2 Graphs

Erlang allows manipulating with graphs via:

  • digraph - construction and manipulation of a directed graph;
  • digraph-utils - navigation, testing of these graphs.

Also sofs module allows converting families to the graphs and back.

9.3.3 Queues

Queues in erlang are FIFO, provided by queue module. Internally they are implemented as two lists:

  • add to first list;
  • pop from the second list;
  • when second list is empty - reverse the first and swap them.

APIs could be split in 3 groups:

  • basic: new/0, in/2 and out/1;
  • advanced: peek/1, drop/1, reverse/1 etc;
  • Okasaki API: you probably don't need it.

10 Concurrency

Concurrency is when two tasks can run at the same time, but don't necessarily do (e.g. multi-tasking on a single core). Parallelism is when these tasks do run at the same time (e.g. on multi-core machine).

Erlang had concurrency from the very beginning, parallelism was possible by running erlang on multiple machines. Modern multi-core systems allow parallelism on a single machine.

However, your parallel program goes only as fast as its slowest sequential part. Erlang wouldn't be a good fit for all problems.

10.1 Spawning Processes

A process in erlang is just a function that can be scheduled to run via spawn/1. This function returns pid in form of <0.160.0> which can be used to communicate with the process.

The process terminates when the function returns.

BIF self/0 returns the pid of the current process.

10.2 Message passing

You send messages with ! (bang) operator, which works in form of Pid ! hello and returns a message (so that it can be passed to multiple processes).

10.3 Receiving messages

You can dump all messages via flush/0 which would simply print them. For real work use receive expression, which looks similar to case pattern matching:

    Pattern1 when Guard ->
    Pattern2 when Guard ->
    Pattern3 ->
    _ -> Expr4

Let's write us a small module:


cast() ->
        {heal, Amount} ->
            io:format("Healing ~p~n",[Amount]);
        {damage, Amount} ->
            io:format("Ouch for ~p~n", [Amount]);
        _ ->

This function could be launched either via spawn(fun spell:cast/0) or via a helper spawn(spell, cast, []), which takes a module, function and arguments.

Once launched, cast would sit around waiting for the receive to get a message. It will process it and terminate.

> S1 = spawn(spell, cast, []).
> S1 ! {boom}.

The only way to know if the recipient is alive and got message is by sending a reply. We can do that by packaging return address into a tuple.

cast2() ->
        {From, heal, Amount} ->
            io:format("Healing ~p~n",[Amount]),
            From ! "healing!";
        {From,damage, Amount} ->
            io:format("Ouch for ~p~n", [Amount]),
            From ! "damage";
        _ ->

Then run in a shell:

> spawn(spell,cast2,[]) ! {self(), heal,2}.
Healing 2
> flush().
Shell got "healing!"

Now we just need to make sure that the process can process more than one message. We can do that by making it tail-recursive:

summon(Life) ->
        {From,damage, Amount} when Amount >= Life ->
            % no recursion here
            io:format("Dead! ~p~n", [Amount]),
            From ! {self(), "dead"};

        {From,damage, Amount} ->
            io:format("Ouch! ~p~n", [Amount]),
            From ! {self(), "this hurts!"},
            summon(Life - Amount);
        {From, heal, Amount} ->
            io:format("Healing ~p~n",[Amount]),
            From ! {self(), "healing!"},
            summon(Life + Amount);
        _ ->

The process will continue running till we damage it too much. Note that we also pass the state through that recursion.

10.4 Better design

Message structure is a bit like internal implementation detail. Do we really need to expose it that much? Let's encapsulate the details.

summon_wolf() ->
    spawn(?MODULE, summon, [3]).

fireball(Pid) ->
    Pid ! { self(), damage, 2},
        {_, Message} ->

ointment(Pid) ->
    Pid ! { self(), heal, 1},
       {_, Message} ->

This hides all the dirty details and allows us to focus damage dealing:

0> Wolf = spell:summon_wolf().
> spell:fireball(Wolf).
Ouch! 2
"this hurts!"
> spell:fireball(Wolf).
Dead! 2

10.5 Timeouts

There is a problem. If we send spell:fireball/1 to a non-existent process (or the dead one) from our shell, then it will freeze. We are stuck in a receive deadlock.

To work around the issue, receive has an after Timeout construct:

fireball2(Pid) ->
    Pid ! { self(), damage, 2},
        {_, Message} ->
    after 1000 -> timeout

ointment2(Pid) ->
    Pid ! { self(), heal, 1},
        {_, Message} ->
    after 1000 -> timeout

After also can accept infinity atom (in case timeout is passed as an argument and we want to wait forever).

There are two special cases - sleeping (receive without any patterns) and trying to get messages without waiting (receive with zero timeout).

10.6 Selective receive

We can perform a selective receive by ignoring some messages (which puts them into a save queue for later processing). This is done via:

important() ->
        {Priority, Message} when Priority > 10 ->
            [Message | important()]
    after 0 ->

normal() ->
    receive {_, Message} ->
            [Message, normal()]
    after 0 ->

The approach has a pitfall: selective receive puts non-matching messages into a special save queue, which is then traversed on each message.

We can work around that by:

  • provide a catch-all Unexpected variable which will log and discard;
  • store messages in min-heap, gb_trees module or whichever structure is applicable.

11 Errors and Processes

11.1 Terminating a process

When a process terminates, it always terminates with an exit reason, which can be of any term. If exit reason is atom normal then the process terminated normally.

A process can terminate:

  • when a run-time error occurs with {Reason,Stack};
  • terminate by itself by calling exit(Reason), error(Reason, [Args]), fault(Reason, [Args]);
  • when exit signal is received with a reason other than normal.

Terminating processes emit exit signals to all linked processes. These kill a process, unless the reason is normal.

A process can call exit(Pid, Reason) to emit an exit signal with Reason to the target process. Sender is unaffected.

11.2 Links

You can link/1 current process to another by PID, making them emit exit signals to each other on termination. Linking is idempotent.

Note, that in link(spawn(Function)) spawned process could finish before link is established. It is better to use atomic spawn_link/1.

11.3 Traps

A process can be configured to trap incoming exit signals and convert them into messages of {'Exit', FromPid, Reason} that are put into mailbox.

One exception - if a reason is kill (e.g. from exit(Pid, kill)), then this will bypass the trap and kill the process. Upon termination, an exit signal with killed is sent to all linked processed (to avoid killing them unconditionally).

11.4 Monitors

Monitors are a unidirectional way to monitor if the process is alive and when it goes down. A process can setup a monitor via monitor(process, Pid) which would return Ref reference to the monitor. That reference could be used to demonitor/1 the process.

When a monitored process dies, we get a message:

{'DOWN', Ref, process, Pid, Reason}

If the process didn't exist in the first place we would get the message immediately with Reason set to noproc.

11.5 Naming processes

To give a process a name, use erlang:register(Name,Pid). If the process dies, it will loose its name. Or you can use unregister/1 to do it manually. Then, use whereis(Name) to get Pid (or an undefined).

Published: August 26, 2015.

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