76个值得你注意的erlang编程习惯
http://www.tuicool.com/articles/ZNzuyu
前言
学习Erlang的时候在书的留白处随手记录了一些东西,还有一些记录在了demo的注释里面,今天抽时间整理出来了一部分,分享一下.
正文
- Erlang的设计哲学是为每一个独立的事件创建一个新进程.
- Erlang的容错处理:如果不能完成一个任务就死掉 让其它正常的进程来善后。link函数就是用来建立这种进程间的双向连接来监测非正常退出,并做出处理。
- BIFs是built-in functions的缩写代表这些方法是Erlang运行时系统的一部分
- side-effect-free无副作用,其中一种定义是说:一个程序执行前后保持程序的状态不变,不改变非局部变量的值,不改变传入参数值,也无I/O
- 写测试模块的时候不必频繁导出函数 –compile(export_all) 就可以导出所有函数
- Erlang中整数值没有上限值,最大值只是受限于硬件(内存有多大)
- 在Erlang Shell中可以方便的做进制转换:Base#Value Base的范围2~16 2#101011
- Erlang Shell中查询ASCII码 $1 $a $A $\n $\}
- Erlang Shell中释放变量使用f() 定义record使用rd(),读取shell输入使用io:read/1可以接受输入Erlang term.
- Erlang Shell中接受消息使用flush() 自己的Pid是self() 查看进程信息使用processes() i() 但是不要在进程非常多的场景使用,会消耗大量内存
- atom是否已经注册的:registered() unregister(Pid) whereis(Atom) regs().
- atom能够进行的唯一运算就是比较
- atom是可以使用.和@的,但是别给自己添乱
- atom会被记录在ERT系统表中,只需要几个字节,atom之间比较起来也很快
- atom不参与Erlang GC,所以atom不能无节制的创建,list_to_existing_atom可以一定程度上缓解创建重复atom的内存消耗
- Tuple是Erlang表达复杂数据结构的手段,第一个元素经常被称作Tag,Tag Massage是Erlang编程的最佳实践
- Tuple索引是从1开始的,执行一下 element(1,{a,b,c}).看看 再试一下element(0,{a,b,c})看看报什么错
- Tuple大小使用tuple_size({1,2,3,4,5}).
- M++N会遍历列表M所以如果必须要使用++也要让数据量小的List在前面
- proplist对于处理key_value的list真的是非常方面
- List=[Element|List]所以你可以在shell中可以输入[1,2|3],尝试匹配一下它 [A,B,C]=[1,2|3]再试一下[P,Q]=[1,2,3]
- List最后一个元素是空列表[],被称作well-formed list正则列表,[1,2|3]这种结构要避免
- –操作符是针对元素进行的 [1,2]–[3]结果是[1,2] [2,2]–[2]结果是[2],运算顺序是从右到左, [1,2,3]–[1,2]–[1].结果是[1,3]
- number<atom<reference<fun<port<pid<tuple<list<binary 之所以有这样一个比较关系,就是为了支持泛型比较
- =:= =/=精确比较运算不仅比较值,还比较类型,效率更高
- Erlang GC的特点是:每个进程独立进行GC ,分代(generational garbage) ,复制回收
- Erlang的模式匹配作用:1.变量赋值 2.提取变量值 3.控制流
- 写function的时候在最后添加一个catch_all的方法也被认为是最佳实践
- 如果可预见结果集的所有可能性,那么case语句不建议使用catch_all
- if语句会对Guard子句做catch,所以 if 1/0 ->a; true ->b end.的返回值是b而不是抛出异常
- if的Guard子句放在变量里就可以让异常抛出来:G=1/0 , if G->a; true ->b end.
- Guard subexpressions resulting in a runtime error are treated as returning false.
- Guard可以使用, ; 表达多个条件if X=:=1,Y<2;X+Y<4 ->ok; true ->error end.
- process dictionary几乎被描述成洪水猛兽了,对于一次写入然后就只读的配置性数据放在进程字典应该没有问题
- Erlang出错法则:让错误报告在它发生的地方
- 查看module的元数据信息 比如a.erl a:module_info(). m(a).
- Erlang的元编程Meta Programming确实直接,apply/3 甚至在参数确定情况下的直接调用M:F(A)
- Concurrency is the ability for different functions to execute in parallel without affecting each other unless explicitly programmed to do so.
- 我们要遍历ETS可以使用first/next 也可以使用foldr foldl,但是后者会把ETS数据复制到进程,数据量大时有效率问题
- 负责进程创建职责的是Erlang VM中的Scheduler
- spawn第三个参数是List,这个调用的时候注意!!
- Spawning a process will never fail!!!
- Sending a message will never fail!!!
- receive子句的处理逻辑抽取为一个独立的方法是推荐的做法
- receive如果接受到没有匹配任何子句的消息,那么这条消息就会保存在mailbox,长此以往就会耗尽内存系统崩溃之险;
- 消息发送的速度快于进程处理的速度就会增加CPU上的消耗,因为会反复扫描mailbox
- Not handling unknown messages should therefore be treated as a bug. 匹配未知消息会导致难以发现错误,所以这些位置要记录日志
- 选择性接受和mailbox这两个东西就解决了消息接受缓冲区的问题
- A race condition occurs when the behavior of a system depends on the order in which certain events occur: these events “race” to influence the behavior.
- 上面两个不失败的设计原则是为了解除进程依赖:另外一个进程的创建和接受消息是否成功不影响当前进程的正常执行
- timer:tc/3计算方法的执行时间 这个构建简单的性能测试很方便
- {‘EXIT’, Pid, Reason}退出消息的格式包含的信息:谁因为什么退出了
- process_flag(trap_exit, true).退出截获的决策当然是在生命周期的早期进行配置。所以一般出现在init阶段。
- 截获到底做了一件什么事情呢?把退出消息放在进程收件箱中当成一个普通的消息来处理。这就相当于我们把异常信息放在返回结果中的情况
- receive接收并处理退出信号,退出消息被截获就不再传播
- link是双向的,monitor是单向的,被监控的进程死掉后,监控进程会收到 {‘DOWN’,Reference,process,Pid,Reason} 消息
- 如果接收到{‘EXIT’, Pid, Reason}的进程没有trap_exit,而且Reason不是normal,这个进程就会终止掉并继续传播这个退出消息
- 所有的BIFs的执行都是原子性的,所以spawn_link不等同于spawn 和 link的组合调用
- {‘EXIT’, Pid, Reason}Reason如果是kill,关联进程无论是否trap_exit都会死掉
- {‘EXIT’, Pid, Reason}Reason如果是normal,关联进程trap_exit会收到一条{‘EXIT’, Pid, normal}消息,如果没有trap_exit什么都不会发生
- 可以使用record_info()来查看record定义
- ETS也是不参与GC的
- Erlang是动态强类型的语言 dynamic-strong Typing
- windows环境Erlang GUI工具:toolbar:start(). tv:start() pman:start(). appmon:start() debugger:start()
- 还有一个WebUI的工具 webtool:start().
- Note: Using the form
[1 | 2]
gives what we call an ‘improper list’. Improper lists will work when you pattern match in the[Head|Tail]
manner, but will fail to be used with standard functions of Erlang (evenlength()
). This is because Erlang expects proper lists. Proper lists end with an empty list as their last cell . When declaring an item like[2]
, the list is automatically formed in a proper manner. As such,[1|[2]]
would work! Improper lists, although syntactically valid, are of very limited use outside of user-defined data structures. - 在EShell中执行Erlang方法
$> erl -boot start_clean -noshell -eval ‘io:format(“hi\n”)’ -eval ‘halt(0)’
% or
$> erl -boot start_clean -noshell -eval ‘io:format(“hi\n”), halt(0)’% example:
erl -sname ad_service -eval ‘ok=mnesia:create_schema([node()]).’ -s init stop - 打印浮点型
lists:flatten(io_lib:format(“~.*..f”, [2, S]));3> lists:flatten(io_lib:format(“~.*..f”, [2, 192.2225])).
“192.22″
4> lists:flatten(io_lib:format(“~.*..f”, [3, 192.2225])).
“192.223″5> lists:flatten([io_lib:format("~8.2.0B,", [L]) || L <- [1,2,3]]).
“00000001,00000010,00000011,”
6> lists:flatten([io_lib:format("~2.16.0B ", [L]) || L <- [1,2,3]]).
“01 02 03 “. - 找出消耗内存最多的进程
lists:reverse(lists:keysort(2,[{P, erlang:process_info(P, heap_size)} || P <- erlang:processes()])). - 找到最消耗内存的ETS表
lists:reverse(lists:keysort(2,[{T, ets:info(T, memory)} || T <- ets:all()])). - record类型作为参数的小技巧
-record(x,{name,zz}).
-record(y,{yy,name}).
-export([test1/0,test2/0]).
-define(create(Type,Name),#Type{name = Name}).test1() -> ?create(x,”Noel”). % -> {x,”Noel”,undefined}
test2() -> ?create(y,”Noel”). % -> {y,undefined,”Noel”} - binary_to_list VS bitstring_to_list
1> A = <<1:2, 23:6>>.
<<”W”>>
2> B = <<1:2, 23:5>>.
<<55:7>>
3> binary_to_list(A).
“W”
4> binary_to_list(B).
** exception error: bad argument
in function binary_to_list/1
called as binary_to_list(<<55:7>>)
5> bitstring_to_list(A).
“W”
6> bitstring_to_list(B).
[<<55:7>>] - Erlang执行操作系统命令 os:cmd(“uptime”).
- [3] or “3″
17> [51] =:= “3″.
true
18> [3] =:= “3″.
false
19> 如果仅仅是将一系列的模块打包在一起,并不需要启动application,那么只需要在app文件中移除掉{mod,{Module,Args}}配置节即可.这种Libiary Application典型范例就是stdlib.
看配置文件:{application, stdlib,
[{description, "ERTS CXC 138 10"},
{vsn, "1.18"},
{modules, [array,
base64,
beam_lib,
binary,
c,
calendar,
dets,
dets_server,
dets_sup,
dets_utils,
dets_v8,
dets_v9,
dict,
digraph,
digraph_utils,
edlin,
edlin_expand,
epp,
eval_bits,
erl_bits,
erl_compile,
erl_eval,
erl_expand_records,
erl_internal,
erl_lint,
erl_parse,
erl_posix_msg,
erl_pp,
erl_scan,
erl_tar,
error_logger_file_h,
error_logger_tty_h,
escript,
ets,
file_sorter,
filelib,
filename,
gb_trees,
gb_sets,
gen,
gen_event,
gen_fsm,
gen_server,
io,
io_lib,
io_lib_format,
io_lib_fread,
io_lib_pretty,
lib,
lists,
log_mf_h,
math,
ms_transform,
orddict,
ordsets,
otp_internal,
pg,
pool,
proc_lib,
proplists,
qlc,
qlc_pt,
queue,
random,
re,
sets,
shell,
shell_default,
slave,
sofs,
string,
supervisor,
supervisor_bridge,
sys,
timer,
unicode,
win32reg,
zip]},
{registered,[timer_server,rsh_starter,take_over_monitor,pool_master,
dets]},
{applications, [kernel]},
{env, []}]}.- erlang:now常用作随机数的种子,这个并不是太好,建议使用:
4> <<A:32,B:32,C:32>> = crypto:strong_rand_bytes(12) .
<<42,136,117,238,28,89,154,241,88,189,70,139>>
5> b().
A = 713586158
B = 475634417
C = 1488799371
ok
并发&并行 concurrency and parallelism .
In many places both words refer to the same concept. They are often used as two different ideas in the context of Erlang. For many Erlangers, concurrency refers to the idea of having many actors running independently, but not necessarily all at the same time. Parallelism is having actors running exactly at the same time. I will say that there doesn’t seem to be any consensus on such definitions around various areas of computer science, but I will use them in this manner in this text. Don’t be surprised if other sources or people use the same terms to mean different things.
This is to say Erlang had concurrency from the beginning, even when everything was done on a single core processor in the ’80s. Each Erlang process would have its own slice of time to run, much like desktop applications did before multi-core systems.
Parallelism was still possible back then; all you needed to do was to have a second computer running the code and communicating with the first one. Even then, only two actors could be run in parallel in this setup. Nowadays, multi-core systems allows for parallelism on a single computer (with some industrial chips having many dozens of cores) and Erlang takes full advantage of this possibility.
The distinction between concurrency and parallelism is important to make, because many programmers hold the belief that Erlang was ready for multi-core computers years before it actually was. Erlang was only adapted to true symmetric multiprocessing in the mid 2000s and only got most of the implementation right with the R13B release of the language in 2009. Before that, SMP often had to be disabled to avoid performance losses. To get parallelism on a multicore computer without SMP, you’d start many instances of the VM instead.
An interesting fact is that because Erlang concurrency is all about isolated processes, it took no conceptual change at the language level to bring true parallelism to the language. All the changes were transparently done in the VM, away from the eyes of the programmers.
Erlang Type
Through the years, there were some attempts to build type systems on top of Erlang. One such attempt happened back in 1997, conducted by Simon Marlow, one of the lead developers of the Glasgow Haskell Compiler, and Philip Wadler, who worked on Haskell’s design and has contributed to the theory behind monads ( Read the paper on said type system). Joe Armstrong later commented on the paper :
One day Phil phoned me up and announced that a) Erlang needed a type system, b) he had written a small prototype of a type system and c) he had a one year’s sabbatical and was going to write a type system for Erlang and “were we interested?” Answer —“Yes.”
Phil Wadler and Simon Marlow worked on a type system for over a year and the results were published in [20]. The results of the project were somewhat disappointing. To start with, only a subset of the language was type-checkable, the major omission being the lack of process types and of type checking inter-process messages.
二进制列表解析
%%The only change in syntax from regular list comprehensions is the <- which became <= and using binaries (<<>>) instead of lists ([]). 1> Pixels = <<213,45,132,64,76,32,76,0,0,234,32,15>>.
<<213,45,132,64,76,32,76,0,0,234,32,15>>
2> RGB = [ {R,G,B} || <<R:8,G:8,B:8>> <= Pixels ].
[{213,45,132},{64,76,32},{76,0,0},{234,32,15}]
3> << <<R:8, G:8, B:8>> || {R,G,B} <- RGB >>.
<<213,45,132,64,76,32,76,0,0,234,32,15>>
4> << <<R:8, G:8, B:8>> || {R,G,B} <- RGB >>.
<<213,45,132,64,76,32,76,0,0,234,32,15>>
5> << <<Bin>> || Bin <- [<<3,7,5,4,7>>] >>.
** exception error: bad argument
6> << <<Bin/binary>> || Bin <- [<<3,7,5,4,7>>] >>.
<<3,7,5,4,7>>
7> << <<(X+1)/integer>> || <<X>> <= <<3,7,5,4,7>> >>.
<<4,8,6,5,8>>
Note: At the time of this writing, binary comprehensions were seldom used and not documented very well. As such, it was decided not to dig more than what is necessary to identify them and understand their basic working. To understand more bit syntax as a whole, read the white paper defining their specification .
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