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<!DOCTYPE chapter SYSTEM "chapter.dtd">
<chapter>
<header>
<copyright>
<year>2001</year><year>2016</year>
<holder>Ericsson AB. All Rights Reserved.</holder>
</copyright>
<legalnotice>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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<title>Functions</title>
<prepared>Bjorn Gustavsson</prepared>
<docno></docno>
<date>2007-11-22</date>
<rev></rev>
<file>functions.xml</file>
</header>
<section>
<title>Pattern Matching</title>
<p>Pattern matching in function head as well as in <c>case</c> and
<c>receive</c> clauses are optimized by the compiler. With a few
exceptions, there is nothing to gain by rearranging clauses.</p>
<p>One exception is pattern matching of binaries. The compiler
does not rearrange clauses that match binaries. Placing the
clause that matches against the empty binary <em>last</em> is usually
slightly faster than placing it <em>first</em>.</p>
<p>The following is a rather unnatural example to show another
exception:</p>
<p><em>DO NOT</em></p>
<code type="erl">
atom_map1(one) -> 1;
atom_map1(two) -> 2;
atom_map1(three) -> 3;
atom_map1(Int) when is_integer(Int) -> Int;
atom_map1(four) -> 4;
atom_map1(five) -> 5;
atom_map1(six) -> 6.</code>
<p>The problem is the clause with the variable <c>Int</c>.
As a variable can match anything, including the atoms
<c>four</c>, <c>five</c>, and <c>six</c>, which the following clauses
also match, the compiler must generate suboptimal code that
executes as follows:</p>
<list type="bulleted">
<item>First, the input value is compared to <c>one</c>, <c>two</c>, and
<c>three</c> (using a single instruction that does a binary search;
thus, quite efficient even if there are many values) to select which
one of the first three clauses to execute (if any).</item>
<item>>If none of the first three clauses match, the fourth clause
match as a variable always matches.</item>
<item>If the guard test <c>is_integer(Int)</c> succeeds, the fourth
clause is executed.</item>
<item>If the guard test fails, the input value is compared to
<c>four</c>, <c>five</c>, and <c>six</c>, and the appropriate clause
is selected. (There is a <c>function_clause</c> exception if none of
the values matched.)</item>
</list>
<p>Rewriting to either:</p>
<p><em>DO</em></p>
<code type="erl"><![CDATA[
atom_map2(one) -> 1;
atom_map2(two) -> 2;
atom_map2(three) -> 3;
atom_map2(four) -> 4;
atom_map2(five) -> 5;
atom_map2(six) -> 6;
atom_map2(Int) when is_integer(Int) -> Int.]]></code>
<p>or:</p>
<p><em>DO</em></p>
<code type="erl"><![CDATA[
atom_map3(Int) when is_integer(Int) -> Int;
atom_map3(one) -> 1;
atom_map3(two) -> 2;
atom_map3(three) -> 3;
atom_map3(four) -> 4;
atom_map3(five) -> 5;
atom_map3(six) -> 6.]]></code>
<p>gives slightly more efficient matching code.</p>
<p>Another example:</p>
<p><em>DO NOT</em></p>
<code type="erl"><![CDATA[
map_pairs1(_Map, [], Ys) ->
Ys;
map_pairs1(_Map, Xs, [] ) ->
Xs;
map_pairs1(Map, [X|Xs], [Y|Ys]) ->
[Map(X, Y)|map_pairs1(Map, Xs, Ys)].]]></code>
<p>The first argument is <em>not</em> a problem. It is variable, but it
is a variable in all clauses. The problem is the variable in the second
argument, <c>Xs</c>, in the middle clause. Because the variable can
match anything, the compiler is not allowed to rearrange the clauses,
but must generate code that matches them in the order written.</p>
<p>If the function is rewritten as follows, the compiler is free to
rearrange the clauses:</p>
<p><em>DO</em></p>
<code type="erl"><![CDATA[
map_pairs2(_Map, [], Ys) ->
Ys;
map_pairs2(_Map, [_|_]=Xs, [] ) ->
Xs;
map_pairs2(Map, [X|Xs], [Y|Ys]) ->
[Map(X, Y)|map_pairs2(Map, Xs, Ys)].]]></code>
<p>The compiler will generate code similar to this:</p>
<p><em>DO NOT (already done by the compiler)</em></p>
<code type="erl"><![CDATA[
explicit_map_pairs(Map, Xs0, Ys0) ->
case Xs0 of
[X|Xs] ->
case Ys0 of
[Y|Ys] ->
[Map(X, Y)|explicit_map_pairs(Map, Xs, Ys)];
[] ->
Xs0
end;
[] ->
Ys0
end.]]></code>
<p>This is slightly faster for probably the most common case
that the input lists are not empty or very short.
(Another advantage is that Dialyzer can deduce a better type
for the <c>Xs</c> variable.)</p>
</section>
<section>
<title>Function Calls</title>
<p>This is an intentionally rough guide to the relative costs of
different calls. It is based on benchmark figures run on
Solaris/Sparc:</p>
<list type="bulleted">
<item>Calls to local or external functions (<c>foo()</c>, <c>m:foo()</c>)
are the fastest calls.</item>
<item>Calling or applying a fun (<c>Fun()</c>, <c>apply(Fun, [])</c>)
is about <em>three times</em> as expensive as calling a local
function.</item>
<item>Applying an exported function (<c>Mod:Name()</c>,
<c>apply(Mod, Name, [])</c>) is about twice as expensive as calling
a fun or about <em>six times</em> as expensive as calling a local
function.</item>
</list>
<section>
<title>Notes and Implementation Details</title>
<p>Calling and applying a fun does not involve any hash-table lookup.
A fun contains an (indirect) pointer to the function that implements
the fun.</p>
<warning><p><em>Tuples are not fun(s)</em>.
A "tuple fun", <c>{Module,Function}</c>, is not a fun.
The cost for calling a "tuple fun" is similar to that
of <c>apply/3</c> or worse.
Using "tuple funs" is <em>strongly discouraged</em>,
as they might not be supported in a future Erlang/OTP release,
and because there exists a superior alternative from R10B,
namely the <c>fun Module:Function/Arity</c> syntax.</p></warning>
<p><c>apply/3</c> must look up the code for the function to execute
in a hash table. It is therefore always slower than a
direct call or a fun call.</p>
<p>It no longer matters (from a performance point of view)
whether you write:</p>
<code type="erl">
Module:Function(Arg1, Arg2)</code>
<p>or:</p>
<code type="erl">
apply(Module, Function, [Arg1,Arg2])</code>
<p>The compiler internally rewrites the latter code into the
former.</p>
<p>The following code is slightly slower because the shape of the
list of arguments is unknown at compile time.</p>
<code type="erl">
apply(Module, Function, Arguments)</code>
</section>
</section>
<section>
<title>Memory Usage in Recursion</title>
<p>When writing recursive functions, it is preferable to make them
tail-recursive so that they can execute in constant memory space:</p>
<p><em>DO</em></p>
<code type="none">
list_length(List) ->
list_length(List, 0).
list_length([], AccLen) ->
AccLen; % Base case
list_length([_|Tail], AccLen) ->
list_length(Tail, AccLen + 1). % Tail-recursive</code>
<p><em>DO NOT</em></p>
<code type="none">
list_length([]) ->
0. % Base case
list_length([_ | Tail]) ->
list_length(Tail) + 1. % Not tail-recursive</code>
</section>
</chapter>