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authormo khan <mo@mokhan.ca>2013-08-28 07:20:13 -0600
committermo khan <mo@mokhan.ca>2013-08-28 07:20:13 -0600
commitdb1191ec0e7305d684383f8974e2fa437f77ad5a (patch)
tree5e27b197dff849d22d8e1f50eb75aa499b16bd06 /book
initial commitHEADmaster
Diffstat (limited to 'book')
-rw-r--r--book/Working With Unix Processes.epubbin0 -> 459828 bytes
-rw-r--r--book/Working With Unix Processes.mobibin0 -> 850716 bytes
-rw-r--r--book/Working With Unix Processes.pdf12208
-rw-r--r--book/Working With Unix Processes.txt3264
4 files changed, 15472 insertions, 0 deletions
diff --git a/book/Working With Unix Processes.epub b/book/Working With Unix Processes.epub
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diff --git a/book/Working With Unix Processes.mobi b/book/Working With Unix Processes.mobi
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diff --git a/book/Working With Unix Processes.pdf b/book/Working With Unix Processes.pdf
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+*:睯瞆瞛瞶矈矚勃埠彩糙碴产
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+*:琂琙琷瑉瑠瑲
+*:璊璟璲瓃瓓瓪
+*:甁甖甹畓畩畾
+*:疛痁痡痾瘖瘹
+*:癑癦癹皕皧皻蔼昂笆摆瓣苞
+*:盝盳眏眤眾睔豹焙笔壁标柄
+*:睯瞆瞛瞶矈矚勃埠彩糙碴产
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+*:琂琙琷瑉瑠瑲
+*:璊璟璲瓃瓓瓪
+*:甁甖甹畓畩畾
+*:疛痁痡痾瘖瘹
+*:癑癦癹皕皧皻蔼昂笆摆瓣苞
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+<</Info 893 0 R
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+%%EOF
diff --git a/book/Working With Unix Processes.txt b/book/Working With Unix Processes.txt
new file mode 100644
index 0000000..29b0b89
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+++ b/book/Working With Unix Processes.txt
@@ -0,0 +1,3264 @@
+
+
+
+
+
+
+
+
+Working with Unix Processes
+
+Copyright 漏 2013 Jesse Storimer. All rights reserved.
+
+This is a one-man operation, please respect the time and effort that went into
+this book. If you came by a free copy and find it useful, you can compensate me
+at http://workingwithunixprocesses.com.
+
+Acknowledgements
+
+A big thank you to a few awesome folks who read early drafts of the book,
+helped me understand how to market this thing, gave me a push when I needed it,
+and were all-around extremely helpful: Sam Storry, Jesse Kaunisviita, and Marc-
+Andr茅 Cournoyer.
+
+I have to express my immense gratitude towards my wife and daughter for not
+only supporting the erratic schedule that made this book possible, but also
+always being there to provide a second opinion. Without your love and support I
+couldn't have done this. You make it all worthwhile.
+
+
+Contents
+
+Introduction
+Primer
+Why_Care?
+Harness_the_Power!
+Overview
+System_Calls
+Nomenclature,_wtf(2)
+Processes:_The_Atoms_of_Unix
+Processes_Have_IDs
+Cross_Referencing
+In_the_Real_World
+System_Calls
+Processes_Have_Parents
+Cross_Referencing
+In_the_Real_World
+System_Calls
+Processes_Have_File_Descriptors
+Everything_is_a_File
+Descriptors_Represent_Resources
+Standard_Streams
+In_the_Real_World
+System_Calls
+Processes_Have_Resource_Limits
+Finding_the_Limits
+Soft_Limits_vs._Hard_Limits
+Bumping_the_Soft_Limit
+Exceeding_the_Limit
+Other_Resources
+In_the_Real_World
+System_Calls
+Processes_Have_an_Environment
+It's_a_hash,_right?
+In_the_Real_World
+System_Calls
+Processes_Have_Arguments
+It's_an_Array!
+In_the_Real_World
+Processes_Have_Names
+Naming_Processes
+In_the_Real_World
+Processes_Have_Exit_Codes
+How_to_Exit_a_Process
+exit
+exit!
+abort
+raise
+Processes_Can_Fork
+Use_the_fork(2),_Luke
+Multicore_Programming?
+Using_a_Block
+In_the_Real_World
+System_Calls
+Orphaned_Processes
+Out_of_Control
+Abandoned_Children
+Managing_Orphans
+Processes_Are_Friendly
+Being_CoW_Friendly
+Processes_Can_Wait
+Babysitting
+Process.wait_and_Cousins
+Communicating_with_Process.wait2
+Waiting_for_Specific_Children
+Race_Conditions
+In_the_Real_World
+System_Calls
+Zombie_Processes
+Good_Things_Come_to_Those_Who_wait(2)
+What_Do_Zombies_Look_Like?
+In_The_Real_World
+System_Calls
+Processes_Can_Get_Signals
+Trapping_SIGCHLD
+SIGCHLD_and_Concurrency
+Signals_Primer
+Where_do_Signals_Come_From?
+The_Big_Picture
+Redefining_Signals
+Ignoring_Signals
+Signal_Handlers_are_Global
+Being_Nice_about_Redefining_Signals
+When_Can't_You_Receive_Signals?
+In_the_Real_World
+System_Calls
+Processes_Can_Communicate
+Our_First_Pipe
+Pipes_Are_One-Way_Only
+Sharing_Pipes
+Streams_vs._Messages
+Remote_IPC?
+In_the_Real_World
+System_Calls
+Daemon_Processes
+The_First_Process
+Creating_Your_First_Daemon_Process
+Diving_into_Rack
+Daemonizing_a_Process,_Step_by_Step
+Process_Groups_and_Session_Groups
+In_the_Real_World
+System_Calls
+Spawning_Terminal_Processes
+fork_+_exec
+File_descriptors_and_exec
+Arguments_to_exec
+Kernel#system
+Kernel#`
+Process.spawn
+IO.popen
+open3
+In_the_Real_World
+System_Calls
+Ending
+Abstraction
+Communication
+Farewell,_But_Not_Goodbye
+Appendix:_How_Resque_Manages_Processes
+The_Architecture
+Forking_for_Memory_Management
+Why_Bother?
+Doesn't_the_GC_clean_up_for_us?
+Appendix:_How_Unicorn_Reaps_Worker_Processes
+Reaping_What?
+Conclusion
+Appendix:_Preforking_Servers
+Efficient_use_of_memory
+Many_Mongrels
+Many_Unicorn
+Efficient_load_balancing
+Efficient_sysadminning
+Basic_Example_of_a_Preforking_Server
+Appendix:_Spyglass
+Spyglass'_Architecture
+Booting_Spyglass
+Before_a_Request_Arrives
+Connection_is_Made
+Things_Get_Quiet
+Getting_Started
+
+Updates
+
+
+* December 20, 2011 - First public version
+* December 21, 2011 - Typos
+* December 23, 2011 - Explanation for Process.setsid
+* December 27, 2011 - Section on SIGCHLD and concurrency
+* December 27, 2011 - Note about redefining 'default' signal handlers
+* December 28, 2011 - Typos
+* December 31, 2011 - Clarification around exiting with Kernel.raise; Section
+ on using fork with a block; More typos; Note about getsid(2)
+* January 13, 2012 - Improved code highlighting. Improved e-reader formatting.
+* February 1, 2012 - New cover art.
+* February 7, 2012 - New chapters: zombie processes, environment variables,
+ preforking servers, the spyglass project. Clarifications on CoW-friendliness
+ in MRI. Added sections for IO.popen and Open3.
+* February 13, 2012 - Clarifications on Process::WNOHANG and file descriptor
+ relations.
+* March 13, 2012 - Include TXT format.
+* March 29, 2012 - Formatting and errata.
+* April 20, 2012 - New chapters: ARGV and IPC.
+* May 15, 2012 - Clarification about reentrancy in signal handlers.
+* June 12, 2012 - New chapter on rlimits; Many formatting/syntax updates.
+* Dec 4, 2012 - Fixed ToC target page issue; Fixed lsof reference.
+* July 30, 2013 - Updated CoW section to reflect MRI's new GC; Added bit about
+ FD leaking to fork + exec section.
+
+
+Introduction
+
+When I was growing up I was sitting in front of a computer every chance I got.
+Not because I was programming, but because I was fascinated by what was
+possible with this amazing machine. I grew up as a computer user using ICQ,
+Winamp, and Napster.
+As I got older I spent more time playing video games on the computer. At first
+I was into first-person shooters and eventually spent most of my time playing
+real-time strategy games. And then I discovered that you can play these games
+online! Throughout my youth I was a 'computer guy': I knew how to use
+computers, but I had no idea how they worked under the hood.
+The reason I'm giving you my background is because I want you to know that I
+was not a child prodigy. I did not teach myself how to program Basic at age 7.
+When I took my first computer programming class I was not teaching the teacher
+and correcting his mistakes.
+It wasn't until my second year of a University degree that I really came to
+love programming as an activity. Some may say that I'm a late bloomer, but I
+have a feeling that I'm closer to the norm than you may think.
+Although I came to love programming for the sake of programming itself I still
+didn't have a good grasp of how the computer was working under the hood. If you
+had told me back then that all of my code ran inside of a process I would have
+looked at you sideways.
+Fortunately for me I was given a great work opportunity at a local web startup.
+This gave me a chance to do some programming on a real production system. This
+changed everything for me. This gave me a reason to learn how things were
+working under the hood.
+As I worked on this high-traffic production system I was presented with
+increasingly complex problems. As our traffic and resource demands increased we
+had to begin looking at our full stack to debug and fix outstanding issues. By
+just focusing on the application code we couldn't get the full picture of how
+the app was functioning.
+We had many layers in front of the application: a firewall, load balancer,
+reverse proxy, and http cache. We had layers that worked alongside the
+application: job queue, database server, and stats collector. Every application
+will have a different set of components that comprise it, and this book won't
+teach you everything there is to know about all of it.
+This book will teach you all you need to know about Unix processes, and that is
+guaranteed to improve your understanding of any component at work in your
+application.
+Through debugging issues I was forced to dig deep into Ruby projects that made
+use of Unix programming concepts. Projects like Resque and Unicorn. These two
+projects were my introduction to Unix programming in Ruby.
+After getting a deeper understanding of how they were working I was able to
+diagnose issues faster and with greater understanding, as well as debug pesky
+problems that didn't make sense when looking at the application code by itself.
+I even started coming up with new, faster, more efficient solutions to the
+problems I was solving that used the techniques I was learning from these
+projects. Alright, enough about me. Let's go down the rabbit hole.
+
+Primer
+
+This section will provide background on some key concepts used in the book.
+It's definitely recommended that you read this before moving on to the meatier
+chapters.
+
+Why Care?
+
+The Unix programming model has existed, in some form, since 1970. It was then
+that Unix was famously invented at Bell Labs, along with the C programming
+language or framework. In the decades that have elapsed since then Unix has
+stood the test of time as the operating system of choice for reliability,
+security, and stability.
+Unix programming concepts and techniques are not a fad, they're not the latest
+popular programming language. These techniques transcend programming languages.
+Whether you're programming in C, C++, Ruby, Python, JavaScript, Haskell, or
+[insert your favourite language here] these techniques WILL be useful.
+This stuff has existed, largely unchanged, for decades. Smart programmers have
+been using Unix programming to solve tough problems with a multitude of
+programming languages for the last 40 years, and they will continue to do so
+for the next 40 years.
+
+Harness the Power!
+
+I'll warn you now, the concepts and techniques described in this book can bring
+you great power. With this power you can create new software, understand
+complex software that is already out there, even use this knowledge to advance
+your career to the next level.
+Just remember, with great power comes great responsibility. Read on and I'll
+tell you everything you need to know to gain the power and avoid the pitfalls.
+
+Overview
+
+This book is not meant to be read as a reference manual. It's more of a
+walkthrough. To get the most out of it you should read it sequentially, since
+each chapter builds on the last. Once you're finished you can use the chapter
+headings to find information if you need a refresher.
+This book contains many code examples. I highly recommend that you follow along
+with them by actually running them yourself in a Ruby interpreter. Playing with
+the code yourself and making tweaks will help the concepts sink in that much
+more.
+Once you've read through the book and played with the examples I'm sure you'll
+be wanting to get your hands on a real world project that's a little more in
+depth. At that point have a look at the included Spyglass project.
+Spyglass is a web server that was created specifically for inclusion with this
+book. It's designed to teach Unix programming concepts. It takes the concepts
+you learn here and shows how a real-world project would put them to use. Have a
+look at the last chapter in this book for a deeper introduction.
+
+System Calls
+
+To understand system calls first requires a quick explanation of the components
+of a Unix system, specifically userland vs. the kernel.
+The kernel of your Unix system sits atop the hardware of your computer. It's a
+middleman for any interactions that need to happen with the hardware. This
+includes things like writing/reading from the filesystem, sending data over the
+network, allocating memory, or playing audio over the speakers. Given its
+power, programs are not allowed direct access to the kernel. Any communication
+is done via system calls.
+The system call interface connects the kernel to userland. It defines the
+interactions that are allowed between your program and the computer hardware.
+Userland is where all of your programs run. You can do a lot in your userland
+programs without ever making use of a system call: do mathematics, string
+operations, control flow with logical statements. But I'd go as far as saying
+that if you want your programs to do anything interesting then you'll need to
+involve the kernel via system calls.
+If you were a C programmer this stuff would probably be second nature to you.
+System calls are at the heart of C programming.
+But I'm going to expect that you, like me, don't have any C programming
+experience. You learned to program in a high level language. When you learned
+to write data to the filesystem you weren't told which system calls make that
+happen.
+The takeaway here is that system calls allow your user-space programs to
+interact indirectly with the hardware of your computer, via the kernel. We'll
+be looking at common system calls as we go through the chapters.
+
+Nomenclature, wtf(2)
+
+One of the roadblocks to learning about Unix programming is where to find the
+proper documentation. Want to hear the kicker? It's all available via Unix
+manual pages (manpages), and if you're using a Unix based computer right now
+it's already on your computer!
+If you've never used manpages before you can start by invoking the command man
+man from a terminal.
+Perfect, right? Well, kind of. The manpages for the system call api are a great
+resource in two situations:
+
+ 1. you're a C programmer who wants to know how to invoke a given system call,
+ or
+ 2. you're trying to figure out the purpose of a given system call
+
+I'm going to assume we're not C programmers here, so #1 isn't so useful, but #2
+is very useful.
+You'll see references throughout this text to things like this: select(2). This
+bit of text is telling you where you can find the manpage for a given system
+call. You may or may not know this, but there are many sections to the Unix
+manpages.
+Here's a look at the most commonly used sections of the manpages for FreeBSD
+and Linux systems:
+
+* Section 1: General Commands
+* Section 2: System Calls
+* Section 3: C Library Functions
+* Section 4: Special Files
+
+So Section 1 is for general commands (a.k.a. shell commands). If I wanted to
+refer you to the manual page for the find command I would write it like this:
+find(1). This tells you that there is a manual page for find in section 1 of
+the manpages.
+If I wanted to refer to the manual page for the getpid system call I would
+write it like this: getpid(2). This tells you that there is a manual page for
+getpid in section 2 of the manpages.
+Why do manpages need multiple sections? Because a command may be available in
+more than one section, ie. available as both a shell command and a system call.
+Take stat(1) and stat(2) as an example.
+In order to access other sections of the manpages you can specify it like this
+on the command line:
+
+ $ man 2 getpid
+ $ man 3 malloc
+ $ man find # same as man 1 find
+
+This nomenclature was not invented for this book, it's a convention that's used
+everywhere %{http://en.wikipedia.org/wiki/Man_page#Usage} when referring to the
+manpages. So it's a good idea to learn it now and get comfortable with seeing
+it.
+
+Processes: The Atoms of Unix
+
+Processes are the building blocks of a Unix system. Why? Because any code that
+is executed happens inside a process.
+For example, when you launch ruby from the command line a new process is
+created for your code. When your code is finished that process exits.
+
+ $ ruby -e "p Time.now"
+
+The same is true for all code running on your system. You know that MySQL
+server that's always running? That's running in its own process. The e-reader
+software you're using right now? That's running in its own process. The email
+client that's desperately trying to tell you you have new messages? You should
+ignore it by the way and keep reading! It also runs in its own process.
+Things start to get interesting when you realize that one process can spawn and
+manage many others. We'll be taking a look at that over the course of this
+book.
+
+Processes Have IDs
+
+Every process running on your system has a unique process identifier, hereby
+referred to as 'pid'.
+The pid doesn't say anything about the process itself, it's simply a sequential
+numeric label. This is how the kernel sees your process: as a number.
+Here's how we can inspect the current pid in a ruby program. Fire up irb and
+try this:
+
+ # This line will print the pid of the current ruby process. This might be an
+ # irb process, a rake process, a rails server, or just a plain ruby script.
+ puts Process.pid
+
+A pid is a simple, generic representation of a process. Since it's not tied to
+any aspect of the content of the process it can be understood from any
+programming language and with simple tools. We'll see below how we can use the
+pid to trace the process details using different utilities.
+
+Cross Referencing
+
+To get a full picture, we can use ps(1) to cross-reference our pid with what
+the kernel is seeing. Leaving your irb session open run the following command
+at a terminal:
+
+ $ ps -p &lt;pid-of-irb-process&gt;
+
+That command should show a process called 'irb' with a pid matching what was
+printed in the irb session.
+
+In the Real World
+
+Just knowing the pid isn't all that useful in itself. So where is it used?
+A common place you'll find pids in the real world is in log files. When you
+have multiple processes logging to one file it's imperative that you're able to
+tell which log line comes from which process. Including the pid in each line
+solves that problem.
+Including the pid also allows you to cross reference information with the OS,
+through the use of commands like top(1) or lsof(8). Here's some sample output
+from the Spyglass server booting up. The first square brackets of each line
+denote the pid where the log line is coming from.
+
+ [58550] [Spyglass::Server] Listening on port 4545
+ [58550] [Spyglass::Lookout] Received incoming connection
+ [58557] [Spyglass::Master] Loaded the app
+ [58557] [Spyglass::Master] Spawned 4 workers. Babysitting now...
+ [58558] [Spyglass::Worker] Received connection
+
+
+System Calls
+
+Ruby's Process.pid maps to getpid(2).
+There is also a global variable that holds the value of the current pid. You
+can access it with $$.
+Ruby inherits this behaviour from other languages before it (both Perl and bash
+support $$), however I avoid it when possible. Typing out Process.pid in full
+is much more expressive of your intent than the dollar-dollar variable, and
+less likely to confuse those who haven't seen the dollar-dollar before.
+
+Processes Have Parents
+
+Every process running on your system has a parent process. Each process knows
+its parent process identifier (hereby referred to as 'ppid').
+In the majority of cases the parent process for a given process is the process
+that invoked it. For example, you're an OSX user who starts up Terminal.app and
+lands in a bash prompt. Since everything is a process that action started a new
+Terminal.app process, which in turn started a bash process.
+The parent of that new bash process will be the Terminal.app process. If you
+then invoke ls(1) from the bash prompt, the parent of that ls process will be
+the bash process. You get the picture.
+Since the kernel deals only in pids there is a way to get the pid of the
+current parent process. Here's how it's done in Ruby:
+
+ # Notice that this is only one character different from getting the
+ # pid of the current process.
+ puts Process.ppid
+
+
+Cross Referencing
+
+Leaving your irb session open run the following command at a terminal:
+
+ $ ps -p &lt;ppid-of-irb-process&gt;
+
+That command should show a process called 'bash' (or 'zsh' or whatever) with a
+pid that matches the one that was printed in your irb session.
+
+In the Real World
+
+There aren't a ton of uses for the ppid in the real world. It can be important
+when detecting daemon processes, something covered in a later chapter.
+
+System Calls
+
+Ruby's Process.ppid maps to getppid(2).
+
+Processes Have File Descriptors
+
+In much the same way as pids represent running processes, file descriptors
+represent open files.
+
+Everything is a File
+
+A part of the Unix philosophy: in the land of Unix 'everything is a file'. This
+means that devices are treated as files, sockets and pipes are treated as
+files, and files are treated as files.
+Since all of these things are treated as files I'm going to use the word
+'resource' when I'm talking about files in a general sense (including devices,
+pipes, sockets, etc.) and I'll use the word 'file' when I mean the classical
+definition (a file on the file system).
+
+Descriptors Represent Resources
+
+Any time that you open a resource in a running process it is assigned a file
+descriptor number. File descriptors are NOT shared between unrelated processes,
+they live and die with the process they are bound to, just as any open
+resources for a process are closed when it exits. There are special semantics
+for file descriptor sharing when you fork a process, more on that later.
+In Ruby, open resources are represented by the IO class. Any IO object can have
+an associated file descriptor number. Use IO#fileno to get access to it.
+# ./code/snippets/fileno.rb
+
+ passwd = File.open('/etc/passwd')
+ puts passwd.fileno
+
+outputs:
+
+ 3
+
+Any resource that your process opens gets a unique number identifying it. This
+is how the kernel keeps track of any resources that your process is using.
+What happens when we have multiple resources open?
+# ./code/snippets/multiple_filenos.rb
+
+ passwd = File.open('/etc/passwd')
+ puts passwd.fileno
+
+ hosts = File.open('/etc/hosts')
+ puts hosts.fileno
+
+ # Close the open passwd file. The frees up its file descriptor
+ # number to be used by the next opened resource.
+ passwd.close
+
+ null = File.open('/dev/null')
+ puts null.fileno
+
+outputs:
+
+ 3
+ 4
+ 3
+
+There are two key takeaways from this example.
+
+ 1. File descriptor numbers are assigned the lowest unused value. The first
+ file we opened, passwd, got file descriptor #3, the next open file got #4
+ because #3 was already in use.
+ 2. Once a resource is closed its file descriptor number becomes available
+ again. Once we closed the passwd file its file descriptor number became
+ available again. So when we opened the file at dev/null it was assigned
+ the lowest unused value, which was then #3.
+
+It's important to note that file descriptors keep track of open resources only.
+Closed resources are not given a file descriptor number.
+Stepping back to the kernel's viewpoint again this makes a lot of sense. Once a
+resource is closed it no longer needs to interact with the hardware layer so
+the kernel can stop keeping track of it.
+Given the above, file descriptors are sometimes called 'open file descriptors'.
+This is a bit of misnomer since there is no such thing as a 'closed file
+descriptor'. In fact, trying to read the file descriptor number from a closed
+resource will raise an exception:
+# ./code/snippets/closed_fileno.rb
+
+ passwd = File.open('/etc/passwd')
+ puts passwd.fileno
+ passwd.close
+ puts passwd.fileno
+
+outputs:
+
+ 3
+ -e:4:in `fileno': closed stream (IOError)
+
+You may have noticed that when we open a file and ask for its file descriptor
+number the lowest value we get is 3. What happened to 0, 1, and 2?
+
+Standard Streams
+
+Every Unix process comes with three open resources. These are your standard
+input (STDIN), standard output (STDOUT), and standard error (STDERR) resources.
+These standard resources exist for a very important reason that we take for
+granted today. STDIN provides a generic way to read input from keyboard devices
+or pipes, STDOUT and STDERR provide generic ways to write output to monitors,
+files, printers, etc. This was one of the innovations of Unix.
+Before STDIN existed your program had to include a keyboard driver for all the
+keyboards it wanted to support! And if it wanted to print something to the
+screen it had to know how to manipulate the pixels required to do so. So let's
+all be thankful for standard streams.
+# ./code/snippets/standard_streams.rb
+
+ puts STDIN.fileno
+ puts STDOUT.fileno
+ puts STDERR.fileno
+
+outputs:
+
+ 0
+ 1
+ 2
+
+That's where those first 3 file descriptor numbers went to.
+
+In the Real World
+
+File descriptors are at the core of network programming using sockets, pipes,
+etc. and are also at the core of any file system operations.
+Hence, they are used by every running process and are at the core of most of
+the interesting stuff you can do with a computer. You'll see many more examples
+of how to use them in the following chapters or in the attached Spyglass
+project.
+
+System Calls
+
+Many methods on Ruby's IO class map to system calls of the same name. These
+include open(2), close(2), read(2), write(2), pipe(2), fsync(2), stat(2), among
+others.
+
+Processes Have Resource Limits
+
+In the last chapter we looked at the fact that open resources are represented
+by file descriptors. You may have noticed that when resources aren't being
+closed the file descriptor numbers continue to increase. It begs the question:
+how many file descriptors can one process have?
+The answer depends on your system configuration, but the important point is
+there are some resource limits imposed on a process by the kernel.
+
+Finding the Limits
+
+We'll continue on the subject of file descriptors. Using Ruby we can ask
+directly for the maximum number of allowed file descriptors:
+# ./code/snippets/getrlimit.rb
+
+ p Process.getrlimit(:NOFILE)
+
+On my machine this snippet outputs:
+
+ [2560, 9223372036854775807]
+
+We used a method called Process.getrlimit and asked for the maximum number of
+open files using the symbol :NOFILE. It returned a two-element Array.
+The first element in the Array is the soft limit for the number of file
+descriptors, the second element in the Array is the hard limit for the number
+of file descriptors.
+
+Soft Limits vs. Hard Limits
+
+What's the difference? Glad you asked. The soft limit isn't really a limit.
+Meaning that if you exceed the soft limit (in this case by opening more than
+2560 resources at once) an exception will be raised, but you can always change
+that limit if you want to.
+Note that the hard limit on my system for the number of file descriptors is a
+ridiculously large integer. Is it even possible to open that many? Likely not,
+I'm sure you'd run into hardware constraints before that many resources could
+be opened at once.
+On my system that number actually represents infinity. It's repeated in the
+constant Process::RLIM_INFINITY. Try comparing those two values to be sure. So,
+on my system, I can effectively open as many resources as I'd like, once I bump
+the soft limit for my needs.
+So any process is able to change its own soft limit, but what about the hard
+limit? Typically that can only be done by a superuser. However, your process is
+also able to bump the hard limit assuming it has the required permissions. If
+you're interested in changing the limits at a system-wide level then start by
+having a look at sysctl(8).
+
+Bumping the Soft Limit
+
+Let's go ahead and bump the soft limit for the current process:
+# ./code/snippets/setrlimit.rb
+
+ Process.setrlimit(:NOFILE, 4096)
+ p Process.getrlimit(:NOFILE)
+
+outputs:
+
+ [4096, 4096]
+
+You can see that we set a new limit for the number of open files, and upon
+asking for that limit again both the hard limit and the soft limit were set to
+the new value 4096.
+We can optionally pass a third argument to Process.setrlimit specifying a new
+hard limit as well, assuming we have the permissions to do so. Note that
+lowering the hard limit, as we did in that last snippet, is irreversible: once
+it comes down it won't go back up.
+The following example is a common way to raise the soft limit of a system
+resource to be equal with the hard limit, the maximum allowed value.
+# ./code/snippets/soft_to_hard_rlimit.rb
+
+ Process.setrlimit(:NOFILE, Process.getrlimit(:NOFILE)[1])
+
+
+Exceeding the Limit
+
+Note that exceeding the soft limit will raise Errno::EMFILE:
+# ./code/snippets/exceeding_soft_rlimits.rb
+
+ # Set the maximum number of open files to 3. We know this
+ # will be maxed out because the standard streams occupy
+ # the first three file descriptors.
+ Process.setrlimit(:NOFILE, 3)
+
+ File.open('/dev/null')
+
+outputs:
+
+ Errno::EMFILE: Too many open files - /dev/null
+
+
+Other Resources
+
+You can use these same methods to check and modify limits on other system
+resources. Some common ones are:
+# ./code/snippets/rlimits.rb
+
+ # The maximum number of simultaneous processes
+ # allowed for the current user.
+ Process.getrlimit(:NPROC)
+
+ # The largest size file that may be created.
+ Process.getrlimit(:FSIZE)
+
+ # The maximum size of the stack segment of the
+ # process.
+ Process.getrlimit(:STACK)
+
+Have a look at the documentation %{http://www.ruby-doc.org/core-1.9.3/
+Process.html#method-c-setrlimit} for Process.getrlimit for a full listing of
+the available options.
+
+In the Real World
+
+Needing to modify limits for system resources isn't a common need for most
+programs. However, for some specialized tools this can be very important.
+One use case is any process needing to handle thousands of simultaneous network
+connections. An example of this is the httperf(1) http performance tool. A
+command like httperf --hog --server www --num-conn 5000 will ask httperf(1) to
+create 5000 concurrent connections. Obviously this will be a problem on my
+system due to its default soft limit, so httperf(1) will need to bump its soft
+limit before it can properly do its testing.
+Another real world use case for limiting system resources is a situation where
+you execute third-party code and need to keep it within certain constraints.
+You could set limits for the processes running that code and revoke the
+permissions required to change them, hence ensuring that they don't use more
+resources than you allow for them.
+
+System Calls
+
+Ruby's Process.getrlimit and Process.setrlimit map to getrlimit(2) and
+setrlimit(2), respectively.
+
+Processes Have an Environment
+
+Environment, in this sense, refers to what's known as 'environment variables'.
+Environment variables are key-value pairs that hold data for a process.
+Every process inherits environment variables from its parent. They are set by a
+parent process and inherited by its child processes. Environment variables are
+per-process and are global to each process.
+Here's a simple example of setting an environment variable in a bash shell,
+launching a Ruby process, and reading that environment variable.
+# ./code/snippets/env_launch.sh
+
+ $ MESSAGE='wing it' ruby -e "puts ENV['MESSAGE']"
+
+The VAR=value syntax is the bash way of setting environment variables. The same
+thing can be accomplished in Ruby using the ENV constant.
+# ./code/snippets/env_set.rb
+
+ # The same thing, with places reversed!
+ ENV['MESSAGE'] = 'wing it'
+ system "echo $MESSAGE"
+
+Both of these examples print:
+
+ wing it
+
+In bash environment variables are accessed using the syntax: $VAR. As you can
+tell from these few examples environment variables can be used to share state
+between processes running different languages, bash and ruby in this case.
+
+It's a hash, right?
+
+Although ENV uses the hash-style accessor API it's not actually a Hash. For
+instance, it implements Enumerable and some of the Hash API, but not all of it.
+Key methods like merge are not implemented. So you can do things like
+ENV.has_key?, but don't count on all hash operations working.
+# ./code/snippets/env_aint_a_hash.rb
+
+ puts ENV['EDITOR']
+ puts ENV.has_key?('PATH')
+ puts ENV.is_a?(Hash)
+
+outputs:
+
+ vim
+ true
+ false
+
+
+In the Real World
+
+In the real world environment variables have many uses. Here's a few that are
+common workflows in the Ruby community:
+
+ $ RAILS_ENV=production rails server
+ $ EDITOR=mate bundle open actionpack
+ $ QUEUE=default rake resque:work
+
+Environment variables are often used as a generic way to accept input into a
+command-line program. Any terminal (on Unix or Windows) already supports them
+and most programmers are familiar with them. Using environment variables is
+often less overhead than explicitly parsing command line options.
+
+System Calls
+
+There are no system calls for directly manipulating environment variables, but
+the C library functions setenv(3) and getenv(3) do the brunt of the work. Also
+have a look at environ(7) for an overview.
+
+Processes Have Arguments
+
+Every process has access to a special array called ARGV. Other programming
+languages may implement it slightly differently, but every one has something
+called 'argv'.
+argv is a short form for 'argument vector'. In other words: a vector, or array,
+of arguments. It holds the arguments that were passed in to the current process
+on the command line. Here's an example of inspecting ARGV and passing in some
+simple options.
+
+ $ cat argv.rb
+ p ARGV
+ $ ruby argv.rb foo bar -va
+ ["foo", "bar", "-va"]
+
+
+It's an Array!
+
+Unlike the previous chapter, where we learned that ENV isn't a Hash, ARGV is
+simply an Array. You can add elements to it, remove elements from it, change
+the elements it contains, whatever you like. But if it simply represents the
+arguments passed in on the command line why would you need to change anything?
+Some libraries will read from ARGV to parse command line options, for example.
+You can programmatically change ARGV before they have a chance to see it in
+order to modify the options at runtime.
+
+In the Real World
+
+The most common use case for ARGV is probably for accepting filenames into a
+program. It's very common to write a program that takes one or more filenames
+as input on the command line and does something useful with them.
+The other common use case, as mentioned, is for parsing command line input.
+There are many Ruby libraries for dealing with command line input. One called
+optparse is available as part of the standard library.
+But now that you know how ARGV works you can skip that extra overhead for
+simple command line options and do it by hand. If you just want to support a
+few flags you can implement them directly as array operations.
+
+ # did the user request help?
+ ARGV.include?('--help')
+ # get the value of the -c option
+ ARGV.include?('-c') &amp;&amp; ARGV[ARGV.index('-c') + 1]
+
+
+Processes Have Names
+
+Unix processes have very few inherent ways of communicating about their state.
+Programmers have worked around this and invented things like logfiles. Logfiles
+allow processes to communicate anything they want about their state by writing
+to the filesystem, but this operates at the level of the filesystem rather than
+being inherent to the process itself.
+Similarly, processes can use the network to open sockets and communicate with
+other processes. But again, that operates at a different level than the process
+itself, since it relies on the network.
+There are two mechanisms that operate at the level of the process itself that
+can be used to communicate information. One is the process name, the other is
+exit codes.
+
+Naming Processes
+
+Every process on the system has a name. For example, when you start up an irb
+session that process is given the name 'irb'. The neat thing about process
+names is that they can be changed at runtime and used as a method of
+communication.
+In Ruby you can access the name of the current process in the $PROGRAM_NAME
+variable. Similarly, you can assign a value to that global variable to change
+the name of the current process.
+# ./code/snippets/program_name.rb
+
+ puts $PROGRAM_NAME
+
+ 10.downto(1) do |num|
+ $PROGRAM_NAME = "Process: #{num}"
+ puts $PROGRAM_NAME
+ end
+
+outputs:
+
+ irb
+ Process: 10
+ Process: 9
+ Process: 8
+ Process: 7
+ Process: 6
+ Process: 5
+ Process: 4
+ Process: 3
+ Process: 2
+ Process: 1
+
+As a fun exercise you can start an irb session, print the pid, and change the
+process name. Then you can use the ps(1) utility to see your changes reflected
+on the system.
+Unfortunately this global variable (and its mirror $0) is the only mechanism
+provided by Ruby for this feature. There is not a more intent-revealing way to
+change the name of the current process.
+
+In the Real World
+
+To see an example of how this is used in a real project read through How Resque
+Manages Processes in the appendices.
+
+Processes Have Exit Codes
+
+When a process comes to an end it has one last chance to make its mark on the
+world: its exit code. Every process that exits does so with a numeric exit code
+(0-255) denoting whether it exited successfully or with an error.
+Traditionally, a process that exits with an exit code of 0 is said to be
+successful. Any other exit code denotes an error, with different codes pointing
+to different errors.
+Though traditionally they're used to denote different errors, they're really
+just a channel for communication. All you need to do is handle the different
+exit codes that a process may exit with in a way that suits your program and
+you've gotten away from the traditions.
+It's usually a good idea to stick with the '0 as success' exit code tradition
+so that your programs will play nicely with other Unix tools.
+
+How to Exit a Process
+
+There are several ways you can exit a process in Ruby, each for different
+purposes.
+
+exit
+
+The simplest way to exit a process is using Kernel#exit. This is also what
+happens implicitly when your script ends without an explicit exit statement.
+# ./code/snippets/exit_0.rb
+
+ # This will exit the program with the success status code (0).
+ exit
+
+# ./code/snippets/custom_exit_code.rb
+
+ # You can pass a custom exit code to this method
+ exit 22
+
+# ./code/snippets/at_exit.rb
+
+ # When Kernel#exit is invoked, before exiting Ruby invokes any blocks
+ # defined by Kernel#at_exit.
+ at_exit { puts 'Last!' }
+ exit
+
+will output:
+
+ Last!
+
+
+exit!
+
+Kernel#exit! is almost exactly the same as Kernel#exit, but with two key
+differences. The first is that it sets an unsuccessful status code by default
+(1), and the second is that it will not invoke any blocks defined using
+Kernel#at_exit.
+# ./code/snippets/exit_bang.rb
+
+ # This will exit the program with a status code 1.
+ exit!
+
+# ./code/snippets/custom_exit_bang.rb
+
+ # You can still pass an exit code.
+ exit! 33
+
+# ./code/snippets/exit_bang_skips_at_exit.rb
+
+ # This block will never be invoked.
+ at_exit { puts 'Silence!' }
+ exit!
+
+
+abort
+
+Kernel#abort provides a generic way to exit a process unsuccessfully.
+Kernel#abort will set the exit code to 1 for the current process.
+# ./code/snippets/abort.rb
+
+ # Will exit with exit code 1.
+ abort
+
+# ./code/snippets/abort_message.rb
+
+ # You can pass a message to Kernel#abort. This message will be printed
+ # to STDERR before the process exits.
+ abort "Something went horribly wrong."
+
+# ./code/snippets/abort_with_at_exit.rb
+
+ # Kernel#at_exit blocks are invoked when using Kernel#abort.
+ at_exit { puts 'Last!' }
+ abort "Something went horribly wrong."
+
+will output:
+
+ Something went horribly wrong.
+ Last!
+
+
+raise
+
+A different way to end a process is with an unhandled exception. This is
+something that you never want to happen in a production environment, but it's
+almost always happening in development and test environments.
+Note that Kernel#raise, unlike the previous methods, will not exit the process
+immediately. It simply raises an exception that may be rescued somewhere up the
+stack. If the exception is not rescued anywhere in the codebase then the
+unhandled exception will cause the process to exit.
+Ending a process this way will still invoke any at_exit handlers and will print
+the exception message and backtrace to STDERR.
+# ./code/snippets/raise_exit.rb
+
+ # Similar to abort, an unhandled exception will set the exit code to 1.
+ raise 'hell'
+
+
+Processes Can Fork
+
+
+Use the fork(2), Luke
+
+Forking is one of the most powerful concepts in Unix programming. The fork(2)
+system call allows a running process to create new process programmatically.
+This new process is an exact copy of the original process.
+Up until now we've talked about creating processes by launching them from the
+terminal. We've also mentioned low level operating system processes that create
+other processes: fork(2) is how they do it.
+When forking, the process that initiates the fork(2) is called the "parent",
+and the newly created process is called the "child".
+The child process inherits a copy of all of the memory in use by the parent
+process, as well as any open file descriptors belonging to the parent process.
+Let's take a moment to review child processes from the eye of our first three
+chapters.
+Since the child process is an entirely new process, it gets its own unique pid.
+The parent of the child process is, obviously, its parent process. So its ppid
+is set to the pid of the process that initiated the fork(2).
+The child process inherits any open file descriptors from the parent at the
+time of the fork(2). It's given the same map of file descriptor numbers that
+the parent process has. In this way the two processes can share open files,
+sockets, etc.
+The child process inherits a copy of everything that the parent process has in
+main memory. In this way a process could load up a large codebase, say a Rails
+app, that occupies 500MB of main memory. Then this process can fork 2 new child
+processes. Each of these child processes would effectively have their own copy
+of that codebase loaded in memory.
+The call to fork returns near-instantly so we now have 3 processes with each
+using 500MB of memory. Perfect for when you want to have multiple instances of
+your application loaded in memory at the same time. Because only one process
+needs to load the app and forking is fast, this method is faster than loading
+the app 3 times in separate instances.
+The child processes would be free to modify their copy of the memory without
+affecting what the parent process has in memory. See the next chapter for a
+discussion of copy-on-write and how it affects memory when forking.
+Let's get started with forking in Ruby by looking at a mind-bending example:
+# ./code/snippets/if_fork.rb
+
+ if fork
+ puts "entered the if block"
+ else
+ puts "entered the else block"
+ end
+
+outputs:
+
+ entered the if block
+ entered the else block
+
+WTF! What's going on here? A call to the fork method has taken the once-
+familiar if construct and turned it on its head. Somehow this piece of code is
+entering both the if and else block of the if construct!
+It's no mystery what's happening here. One call to the fork method actually
+returns twice. Remember that fork creates a new process. So it returns once in
+the calling process (parent) and once in the newly created process (child).
+The last example becomes more obvious if we print the pids.
+# ./code/snippets/if_fork_pid.rb
+
+ puts "parent process pid is #{Process.pid}"
+
+ if fork
+ puts "entered the if block from #{Process.pid}"
+ else
+ puts "entered the else block from #{Process.pid}"
+ end
+
+outputs:
+
+ parent process is 21268
+ entered the if block from 21268
+ entered the else block from 21282
+
+Now it becomes clear that the code in the if block is being executed by the
+parent process, while the code in the else block is being executed by the child
+process. The child process will exit after executing its code in the else
+block, while the parent process will carry on.
+Again, there's a rhythm to this beat, and it has to do with the return value of
+the fork method. In the child process fork returns nil. Since nil is falsy it
+executes the code in the else block.
+In the parent process fork returns the pid of the newly created child process.
+Since an integer is truthy it executes the code in the if block.
+This concept is illustrated nicely by simply printing the return value of a
+fork call.
+
+ puts fork
+
+outputs
+
+ 21423
+ nil
+
+Here we have the two different return values. The first value returned is the
+pid of the newly created child process; this comes from the parent. The second
+return value is the nil from the child process.
+
+Multicore Programming?
+
+In a roundabout way, yes. By making new processes it means that your code is
+able, but not guaranteed, to be distributed across multiple CPU cores.
+Given a system with 4 CPUs, if you fork 4 new processes then those can be
+handled each by a separate CPU, giving you multicore concurrency.
+However, there's no guarantee that stuff will be happening in parallel. On a
+busy system it's possible that all 4 of your processes are handled by the same
+CPU.
+fork(2) creates a new process that's a copy of the old process. So if a process
+is using 500MB of main memory, then it forks, now you have 1GB in main memory.
+Do this another ten times and you can quickly exhaust main memory. This is
+often called a fork bomb. Before you turn up the concurrency make sure that you
+know the consequences.
+
+Using a Block
+
+In the example above we've demonstrated fork with an if/else construct. It's
+also possible, and more common in Ruby code, to use fork with a block.
+When you pass a block to the fork method that block will be executed in the new
+child process, while the parent process simply skips over it. The child process
+exits when it's done executing the block. It does not continue along the same
+code path as the parent.
+
+ fork do
+ # Code here is only executed in the child process
+ end
+
+ # Code here is only executed in the parent process.
+
+
+In the Real World
+
+Have a look at either of the appendices, or the attached Spyglass project, to
+see some real-world examples of using fork(2).
+
+System Calls
+
+Ruby's Kernel#fork maps to fork(2).
+
+Orphaned Processes
+
+
+Out of Control
+
+You may have noticed when running the examples in the last chapter that when
+child processes are involved, it's no longer possible to control everything
+from a terminal like we're used to.
+When starting a process via a terminal, we normally have only one process
+writing to STDOUT, taking keyboard input, or listening for that Ctrl-C telling
+it to exit.
+But once that process has forked child processes that all becomes a little more
+difficult. When you press Ctrl-C which process should exit? All of them? Only
+the parent?
+It's good to know about this stuff because it's actually very easy to create
+orphaned processes:
+# ./code/snippets/orphan_process.rb
+
+ fork do
+ 5.times do
+ sleep 1
+ puts "I'm an orphan!"
+ end
+ end
+
+ abort "Parent process died..."
+
+If you run this program from a terminal you'll notice that since the parent
+process dies immediately the terminal returns you to the command prompt. At
+which point, it's overwritten by the STDOUT from the child process! Strange
+things can start to happen when forking processes.
+
+Abandoned Children
+
+What happens to a child process when its parent dies?
+The short answer is, nothing. That is to say, the operating system doesn't
+treat child processes any differently than any other processes. So, when the
+parent process dies the child process continues on; the parent process does not
+take the child down with it.
+
+Managing Orphans
+
+Can you still manage orphaned processes?
+We're getting a bit ahead of ourselves with this question, but it touches on
+two interesting concepts.
+The first is something called daemon processes. Daemon processes are long
+running processes that are intentionally orphaned and meant to stay running
+forever. These are covered in detail in a later chapter.
+The second interesting bit here is communicating with processes that are not
+attached to a terminal session. You can do this using something called Unix
+signals. This is also covered in more detail in a later chapter.
+We'll soon talk about how to properly manage and control child processes.
+
+Processes Are Friendly
+
+Let's take a step back from looking at code for a minute to talk about a higher
+level concept and how it's handled in different Ruby implementations.
+
+Being CoW Friendly
+
+As mentioned in the forking chapter, fork(2) creates a new child process that's
+an exact copy of the parent process. This includes a copy of everything the
+parent process has in memory.
+Physically copying all of that data can be considerable overhead, so modern
+Unix systems employ something called copy-on-write semantics (CoW) to combat
+this.
+As you may have guessed from the name, CoW delays the actual copying of memory
+until it needs to be written.
+So a parent process and a child process will actually share the same physical
+data in memory until one of them needs to modify it, at which point the memory
+will be copied so that proper separation between the two processes can be
+preserved.
+# ./code/snippets/cow_no_writes.rb
+
+ arr = [1,2,3]
+
+ fork do
+ # At this point the child process has been initialized.
+ # Using CoW this process doesn't need to copy the arr variable,
+ # since it hasn't modified any shared values it can continue reading
+ # from the same memory location as the parent process.
+ p arr
+ end
+
+# ./code/snippets/cow.rb
+
+ arr = [1,2,3]
+
+ fork do
+ # At this point the child process has been initialized.
+ # Because of CoW the arr variable hasn't been copied yet.
+ arr &lt;&lt; 4
+ # The above line of code modifies the array, so a copy of
+ # the array will need to be made for this process before
+ # it can modify it. The array in the parent process remains
+ # unchanged.
+ end
+
+This is a big win when using fork(2) as it saves on resources. It means that
+fork(2) is fast since it doesn't need to copy any of the physical memory of the
+parent. It also means that child processes only get a copy of the data they
+need, the rest can be shared.
+In order for you to have CoW semantics, a Ruby implementation needs to be
+written in such a way that it doesn't clobber this feature provided by the
+kernel. Versions of MRI &gt;= 2.0 are written in such a way that they respect
+and preserve these semantics. Versions of MRI &lt;= 1.9 did not preserve the
+semantics.
+But how?
+MRI's garbage collector uses a 'mark-and-sweep' algorithm. In a nutshell this
+means that when the GC is invoked it must traverse the graph of live objects,
+and for each one the GC must 'mark' it as alive.
+In MRI &lt;= 1.9, this 'mark' step was implemented as a modification to that
+object in memory. So when the GC was invoked right after a fork, all live
+objects were modified, forcing the OS to make copies of all live Ruby objects
+and foregoing any benefit from CoW semantics.
+MRI &gt;= 2.0 still uses a mark-and-sweep GC, but preserves CoW semantics by
+storing all of the 'marks' in a small data structure in a disparate region of
+memory. So when the GC runs after a fork, this small region of memory must be
+copied, but the graph of live Ruby objects can be shared between parent and
+child until your code modifies an object.
+What does this mean for you?
+If you're building something, or using tools, that depend heavily on fork(2),
+you should expect much better memory utilization with MRI 2.0 than with earlier
+versions.
+
+Processes Can Wait
+
+In the examples of fork(2) up until now we have let the parent process continue
+on in parallel with the child process. In some cases this led to weird results,
+such as when the parent process exited before the child process.
+That kind of scenario is really only suitable for one use case, fire and
+forget. It's useful when you want a child process to handle something
+asynchronously, but the parent process still has its own work to do.
+# ./code/snippets/bg_process.rb
+
+ message = 'Good Morning'
+ recipient = 'tree@mybackyard.com'
+
+ fork do
+ # In this contrived example the parent process forks a child to take
+ # care of sending data to the stats collector. Meanwhile the parent
+ # process has continued on with its work of sending the actual payload.
+
+ # The parent process doesn't want to be slowed down with this task, and
+ # it doesn't matter if this would fail for some reason.
+ StatsCollector.record message, recipient
+ end
+
+ # send message to recipient
+
+
+Babysitting
+
+For most other use cases involving fork(2) you'll want some way to keep tabs on
+your child processes. In Ruby, one technique for this is provided by
+Process.wait. Let's rewrite our orphan-inducing example from the last chapter
+to perform with less surprises.
+# ./code/snippets/babysitting_processes.rb
+
+ fork do
+ 5.times do
+ sleep 1
+ puts "I am an orphan!"
+ end
+ end
+
+ Process.wait
+ abort "Parent process died..."
+
+This time the output will look like:
+
+ I am an orphan!
+ I am an orphan!
+ I am an orphan!
+ I am an orphan!
+ I am an orphan!
+ Parent process died...
+
+Not only that, but control will not be returned to the terminal until all of
+the output has been printed.
+So what does Process.wait do? Process.wait is a blocking call instructing the
+parent process to wait for one of its child processes to exit before
+continuing.
+
+Process.wait and Cousins
+
+I mentioned something key in that last statement, Process.wait blocks until any
+one of its child processes exit. If you have a parent that's babysitting more
+than one child process and you're using Process.wait, you need to know which
+one exited. For this, you can use the return value.
+Process.wait returns the pid of the child that exited. Check it out.
+# ./code/snippets/wait_for_each_process.rb
+
+ # We create 3 child processes.
+ 3.times do
+ fork do
+ # Each one sleeps for a random amount of number less than 5 seconds.
+ sleep rand(5)
+ end
+ end
+
+ 3.times do
+ # We wait for each child process to exit and print the pid that
+ # gets returned.
+ puts Process.wait
+ end
+
+
+Communicating with Process.wait2
+
+But wait! Process.wait has a cousin called Process.wait2!
+Why the name confusion? It makes sense once you know that Process.wait returns
+1 value (pid), but Process.wait2 returns 2 values (pid, status).
+This status can be used as communication between processes via exit codes. In
+our chapter on Exit Codes we mentioned that you can use exit codes to encode
+information for other processes. Process.wait2 gives you direct access to that
+information.
+The status returned from Process.wait2 is an instance of Process::Status. It
+has a lot of useful information attached to it for figuring out exactly how a
+process exited.
+# ./code/snippets/wait2.rb
+
+ # We create 5 child processes.
+ 5.times do
+ fork do
+ # Each generates a random number. If even they exit
+ # with a 111 exit code, otherwise they use a 112 exit code.
+ if rand(5).even?
+ exit 111
+ else
+ exit 112
+ end
+ end
+ end
+
+ 5.times do
+ # We wait for each of the child processes to exit.
+ pid, status = Process.wait2
+
+ # If the child process exited with the 111 exit code
+ # then we know they encountered an even number.
+ if status.exitstatus == 111
+ puts "#{pid} encountered an even number!"
+ else
+ puts "#{pid} encountered an odd number!"
+ end
+ end
+
+Communication between processes without the filesystem or network!
+
+Waiting for Specific Children
+
+But wait! The Process.wait cousins have two more cousins. Process.waitpid and
+Process.waitpid2.
+You can probably guess what these do. They function the same as Process.wait
+and Process.wait2 except, rather than waiting for any child to exit they only
+wait for a specific child to exit, specified by pid.
+# ./code/snippets/waitpid2.rb
+
+ favourite = fork do
+ exit 77
+ end
+
+ middle_child = fork do
+ abort "I want to be waited on!"
+ end
+
+ pid, status = Process.waitpid2 favourite
+ puts status.exitstatus
+
+Although it appears that Process.wait and Process.waitpid provide different
+behaviour don't be fooled! They are actually aliased to the same thing. Both
+will accept the same arguments and behave the same.
+You can pass a pid to Process.wait in order to get it to wait for a specific
+child, and you can pass -1 as the pid to Process.waitpid to get it to wait for
+any child process.
+The same is true for Process.wait2 and Process.waitpid2.
+Just like with Process.pid vs. $$ I think it's important that, as programmers,
+we use the provided tools to reveal our intent where possible. Although these
+methods are identical you should use Process.wait when you're waiting for any
+child process and use Process.waitpid when you're waiting for a specific
+process.
+
+Race Conditions
+
+As you look at these simple code examples you may start to wonder about race
+conditions.
+What if the code that handles one exited process is still running when another
+child process exits? What if I haven't gotten back around to Process.wait and
+another process exits? Let's see:
+# ./code/snippets/process_wait_queue.rb
+
+ # We create two child processes.
+ 2.times do
+ fork do
+ # Both processes exit immediately.
+ abort "Finished!"
+ end
+ end
+
+ # The parent process waits for the first process, then sleeps for 5 seconds.
+ # In the meantime the second child process has exited and is no
+ # longer running.
+ puts Process.wait
+ sleep 5
+
+ # The parent process asks to wait once again, and amazingly enough, the
+ second
+ # process' exit information has been queued up and is returned here.
+ puts Process.wait
+
+As you can see this technique is free from race conditions. The kernel queues
+up information about exited processes so that the parent always receives the
+information in the order that the children exited.
+So even if the parent is slow at processing each exited child it will always be
+able to get the information for each exited child when it's ready for it.
+Take note that calling any variant of Process.wait when there are no child
+processes will raise Errno::ECHILD. It's always a good idea to keep track of
+how many child processes you have created so you don't encounter this
+exception.
+
+In the Real World
+
+The idea of looking in on your child processes is at the core of a common Unix
+programming pattern. The pattern is sometimes called babysitting processes,
+master/worker, or preforking.
+At the core of this pattern is the concept that you have one process that forks
+several child processes, for concurrency, and then spends its time looking
+after them: making sure they are still responsive, reacting if any of them
+exit, etc.
+For example, the Unicorn web server %{http://unicorn.bogomips.org} employs this
+pattern. You tell it how many worker processes you want it to start up for you,
+5 for instance.
+Then a unicorn process will boot up that will fork 5 child processes to handle
+web requests. The parent (or master) process maintains a heartbeat with each
+child and ensures that all of the child processes stay responsive.
+This pattern allows for both concurrency and reliability. Read more about
+Unicorn in its Appendix at the end of the book.
+For an alternative usage of this technique read through the Lookout class in
+the attached Spyglass project.
+
+System Calls
+
+Ruby's Process.wait and cousins map to waitpid(2).
+
+Zombie Processes
+
+At the beginning of the last chapter we looked at an example that used a child
+process to asynchronously handle a task in a fire and forget manner. We need to
+revisit that example and ensure that we clean up that child process
+appropriately, lest it become a zombie!
+
+Good Things Come to Those Who wait(2)
+
+In the last chapter I showed that the kernel queues up status information about
+child processes that have exited. So even if you call Process.wait long after
+the child process has exited its status information is still available. I'm
+sure you can smell a problem here...
+The kernel will retain the status of exited child processes until the parent
+process requests that status using Process.wait. If the parent never requests
+the status then the kernel can never reap that status information. So creating
+fire and forget child processes without collecting their status information is
+a poor use of kernel resources.
+If you're not going to wait for a child process to exit using Process.wait (or
+the technique described in the next chapter) then you need to 'detach' that
+child process. Here's the fire and forget example from last chapter rectified
+to properly detach the child process:
+# ./code/snippets/zombie_process.rb
+
+ message = 'Good Morning'
+ recipient = 'tree@mybackyard.com'
+
+ pid = fork do
+ # In this contrived example the parent process forks a child to take
+ # care of sending data to the stats collector. Meanwhile the parent
+ # process has continued on with its work of sending the actual payload.
+
+ # The parent process doesn't want to be slowed down with this task, and
+ # it doesn't matter if this would fail for some reason.
+ StatsCollector.record message, recipient
+ end
+
+ # This line ensures that the process performing the stats collection
+ # won't become a zombie.
+ Process.detach(pid)
+
+What does Process.detach do? It simply spawns a new thread whose sole job is to
+wait for the child process specified by pid to exit. This ensures that the
+kernel doesn't hang on to any status information we don't need.
+
+What Do Zombies Look Like?
+
+# ./code/snippets/zombies_eg.rb
+
+ # Create a child process that exits after 1 second.
+ pid = fork { sleep 1 }
+ # Print its pid.
+ puts pid
+ # Put the parent process to sleep so we can inspect the
+ # process status of the child
+ sleep 5
+
+Running the following command at a terminal, using the pid printed from the
+last snippet, will print the status of that zombie process. The status should
+say 'z' or 'Z+', meaning that the process is a zombie.
+
+ ps -ho pid,state -p [pid of zombie process]
+
+
+In The Real World
+
+Notice that any dead process whose status hasn't been waited on is a zombie
+process. So every child process that dies while its parent is still active will
+be a zombie, if only for a short time. Once the parent process collects the
+status from the zombie then it effectively disappears, no longer consuming
+kernel resources.
+It's fairly uncommon to fork child processes in a fire and forget manner, never
+collecting their status. If work needs to be offloaded in the background it's
+much more common to do that with a dedicated background queueing system.
+That being said there is a Rubygem called spawnling %{https://github.com/tra/
+spawnling} that provides this exact functionality. Besides providing a generic
+API over processes or threads, it ensures that fire and forget processes are
+properly detached.
+
+System Calls
+
+There's no system call for Process.detach because it's implemented in Ruby
+simply as a thread and Process.wait. The implementation in Rubinius %{https://
+github.com/rubinius/rubinius/blob/c6e8e33b37601d4a082ddcbbd60a568767074771/
+kernel/common/process.rb#L377-395} is stark in its simplicity.
+
+Processes Can Get Signals
+
+In the last chapter we looked at Process.wait. It provides a nice way for a
+parent process to keep tabs on its child processes. However it is a blocking
+call: it will not return until a child process dies.
+What's a busy parent to do? Not every parent has the luxury of waiting around
+on their children all day. There is a solution for the busy parent! And it's
+our introduction to Unix signals.
+
+Trapping SIGCHLD
+
+Let's take a simple example from the last chapter and rewrite it for a busy
+parent process.
+# ./code/snippets/signals_chld_naive.rb
+
+ child_processes = 3
+ dead_processes = 0
+ # We fork 3 child processes.
+ child_processes.times do
+ fork do
+ # They sleep for 3 seconds.
+ sleep 3
+ end
+ end
+
+ # Our parent process will be busy doing some intense mathematics.
+ # But still wants to know when one of its children exits.
+
+ # By trapping the :CHLD signal our process will be notified by the kernel
+ # when one of its children exits.
+ trap(:CHLD) do
+ # Since Process.wait queues up any data that it has for us we can ask for
+ it
+ # here, since we know that one of our child processes has exited.
+
+ puts Process.wait
+ dead_processes += 1
+ # We exit explicitly once all the child processes are accounted for.
+ exit if dead_processes == child_processes
+ end
+
+ # Work it.
+ loop do
+ (Math.sqrt(rand(44)) ** 8).floor
+ sleep 1
+ end
+
+
+SIGCHLD and Concurrency
+
+Before we go on I must mention a caveat. Signal delivery is unreliable. By this
+I mean that if your code is handling a CHLD signal while another child process
+dies you may or may not receive a second CHLD signal.
+This can lead to inconsistent results with the code snippet above. Sometimes
+the timing will be such that things will work out perfectly, and sometimes
+you'll actually 'miss' an instance of a child process dying.
+This behaviour only happens when receiving the same signal several times in
+quick succession; you can always count on at least one instance of the signal
+arriving. This same caveat is true for other signals you handle in Ruby; read
+on to hear more about those.
+To properly handle CHLD you must call Process.wait in a loop and look for as
+many dead child processes as are available, since you may have received
+multiple CHLD signals since entering the signal handler. But....isn't
+Process.wait a blocking call? If there's only one dead child process and I call
+Process.wait again how will I avoid blocking the whole process?
+Now we get to the second argument to Process.wait. In the last chapter we
+looked at passing a pid to Process.wait as the first argument, but it also
+takes a second argument, flags. One such flag that can be passed tells the
+kernel not to block if no child has exited. Just what we need!
+There's a constant that represents the value of this flag, Process::WNOHANG,
+and it can be used like so:
+
+ Process.wait(-1, Process::WNOHANG)
+
+Easy enough.
+Here's a rewrite of the code snippet from the beginning of this chapter that
+won't 'miss' any child process deaths:
+# ./code/snippets/signals_chld_nohang.rb
+
+ child_processes = 3
+ dead_processes = 0
+ # We fork 3 child processes.
+ child_processes.times do
+ fork do
+ # They sleep for 3 seconds.
+ sleep 3
+ end
+ end
+
+ # Sync $stdout so the call to #puts in the CHLD handler isn't
+ # buffered. Can cause a ThreadError if a signal handler is
+ # interrupted after calling #puts. Always a good idea to do
+ # this if your handlers will be doing IO.
+ $stdout.sync = true
+
+ # Our parent process will be busy doing some intense mathematics.
+ # But still wants to know when one of its children exits.
+
+ # By trapping the :CHLD signal our process will be notified by the kernel
+ # when one of its children exits.
+ trap(:CHLD) do
+ # Since Process.wait queues up any data that it has for us we can ask for
+ it
+ # here, since we know that one of our child processes has exited.
+
+ # We loop over a non-blocking Process.wait to ensure that any dead child
+ # processes are accounted for.
+ begin
+ while pid = Process.wait(-1, Process::WNOHANG)
+ puts pid
+ dead_processes += 1
+ end
+ rescue Errno::ECHILD
+ end
+ end
+
+ loop do
+ # We exit ourself once all the child processes are accounted for.
+ exit if dead_processes == child_processes
+
+ sleep 1
+ end
+
+One more thing to remember is that Process.wait, even this variant, will raise
+Errno::ECHILD if no child processes exist. Since signals might arrive at any
+time it's possible for the last CHLD signal to arrive after the previous CHLD
+handler has already called Process.wait twice and gotten the last available
+status. This asynchronous stuff can be mind-bending. Any line of code can be
+interrupted with a signal. You've been warned!
+So you must handle the Errno::ECHILD exception in your CHLD signal handler.
+Also if you don't know how many child processes you are waiting on you should
+rescue that exception and handle it properly.
+
+Signals Primer
+
+This was our first foray to Unix signals. Signals are asynchronous
+communication. When a process receives a signal from the kernel it can do one
+of the following:
+
+ 1. ignore the signal
+ 2. perform a specified action
+ 3. perform the default action
+
+
+Where do Signals Come From?
+
+Technically signals are sent by the kernel, just like text messages are sent by
+a cell phone carrier. But text messages have an original sender, and so do
+signals. Signals are sent from one process to another process, using the kernel
+as a middleman.
+The original purpose of signals was to specify different ways that a process
+should be killed. Let's start there.
+Let's start up two ruby programs and we'll use one to kill the other.
+For these examples we won't use irb because it defines its own signal handlers
+that get in the way of our demonstrations. Instead we'll just use the ruby
+program itself.
+Give this a try: launch the ruby program without any arguments. Enter some
+code. Hit Ctrl-D.
+This executes the code that you entered and then exits.
+Start up two ruby processes using the technique mentioned above and we'll kill
+one of them using a signal.
+
+ 1. In the first ruby session execute the following code:
+
+ puts Process.pid
+ sleep # so that we have time to send it a signal
+
+ 2. In the second ruby session issue the following command to kill the first
+ session with a signal:
+
+ Process.kill(:INT, &lt;pid of first session&gt;)
+
+
+So the second process sent an "INT" signal to the first process, causing it to
+exit. "INT" is short for "INTERRUPT".
+The system default when a process receives this signal is that it should
+interrupt whatever it's doing and exit immediately.
+
+The Big Picture
+
+Below is a table showing signals commonly supported on Unix systems. Every Unix
+process will be able to respond to these signals and any signal can be sent to
+any process.
+When naming signals the SIG portion of the name is optional. The Action column
+in the table describes the default action for each signal:
+
+
+ Term
+ means that the process will terminate immediately
+
+ Core
+ means that the process will terminate immediately and dump core (stack
+ trace)
+
+ Ign
+ means that the process will ignore the signal
+
+ Stop
+ means that the process will stop (ie pause)
+
+ Cont
+ means that the process will resume (ie unpause)
+
+
+ Signal Value Action Comment
+ -------------------------------------------------------------------------
+ SIGHUP 1 Term Hangup detected on controlling terminal
+ or death of controlling process
+ SIGINT 2 Term Interrupt from keyboard
+ SIGQUIT 3 Core Quit from keyboard
+ SIGILL 4 Core Illegal Instruction
+ SIGABRT 6 Core Abort signal from abort(3)
+ SIGFPE 8 Core Floating point exception
+ SIGKILL 9 Term Kill signal
+ SIGSEGV 11 Core Invalid memory reference
+ SIGPIPE 13 Term Broken pipe: write to pipe with no readers
+ SIGALRM 14 Term Timer signal from alarm(2)
+ SIGTERM 15 Term Termination signal
+ SIGUSR1 30,10,16 Term User-defined signal 1
+ SIGUSR2 31,12,17 Term User-defined signal 2
+ SIGCHLD 20,17,18 Ign Child stopped or terminated
+ SIGCONT 19,18,25 Cont Continue if stopped
+ SIGSTOP 17,19,23 Stop Stop process
+ SIGTSTP 18,20,24 Stop Stop typed at tty
+ SIGTTIN 21,21,26 Stop tty input for background process
+ SIGTTOU 22,22,27 Stop tty output for background process
+
+ The signals SIGKILL and SIGSTOP cannot be trapped, blocked, or ignored.
+
+This table might seem a bit out of left field, but it gives you a rough idea of
+what to expect when you send a certain signal to a process. You can see that,
+by default, most of the signals terminate a process.
+It's interesting to note the SIGUSR1 and SIGUSR2 signals. These are signals
+whose action is meant specifically to be defined by your process. We'll see
+shortly that we're free to redefine any of the signal actions that we please,
+but those two signals are meant for your use.
+
+Redefining Signals
+
+Let's go back to our two ruby sessions and have some fun.
+
+ 1. In the first ruby session use the following code to redefine the behaviour
+ of the INT signal:
+
+ puts Process.pid
+ trap(:INT) { print "Na na na, you can't get me" }
+ sleep # so that we have time to send it a signal
+
+ Now our process won't exit when it receives the INT signal.
+ 2. In the second ruby session issue the following command and notice that the
+ first process is taunting us!
+
+ Process.kill(:INT, &lt;pid of first session&gt;)
+
+ 3. You can try using Ctrl-C to kill that first session, and notice that it
+ responds the same!
+ 4. But as the table said there are some signals that cannot be redefined.
+ SIGKILL will show that guy who's boss.
+
+ Process.kill(:KILL, &lt;pid of first session&gt;)
+
+
+
+Ignoring Signals
+
+
+ 1. In the first ruby session use the following code:
+
+ puts Process.pid
+ trap(:INT, "IGNORE")
+ sleep # so that we have time to send it a signal
+
+ 2. In the second ruby session issue the following command and notice that the
+ first process isn't affected.
+
+ Process.kill(:INT, &lt;pid of first session&gt;)
+
+ The first ruby session is unaffected.
+
+
+Signal Handlers are Global
+
+Signals are a great tool and are the perfect fit for certain situations. But
+it's good to keep in mind that trapping a signal is a bit like using a global
+variable, you might be overwriting something that some other code depends on.
+And unlike global variables signal handlers can't be namespaced.
+So make sure you read this next section before you go and add signal handlers
+to all of your open source libraries :)
+
+Being Nice about Redefining Signals
+
+There is a way to preserve handlers defined by other Ruby code, so that your
+signal handler won't trample any other ones that are already defined. It looks
+something like this:
+# ./code/snippets/trap_int_signal.rb
+
+ trap(:INT) { puts 'This is the first signal handler' }
+
+ old_handler = trap(:INT) {
+ old_handler.call
+ puts 'This is the second handler'
+ exit
+ }
+ sleep 5 # so that we have time to send it a signal
+
+Just send it a Ctrl-C to see the effect. Both signal handlers are called.
+Now let's see if we can preserve the system default behaviour. Hit the code
+below with a Ctrl-C.
+# ./code/snippets/decorate_default_signal_behaviour.rb
+
+ system_handler = trap(:INT) {
+ puts 'about to exit!'
+ system_handler.call
+ }
+ sleep 5 # so that we have time to send it a signal
+
+:/ It blew up that time. So we can't preserve the system default behaviour with
+this technique, but we can preserve other Ruby code handlers that have been
+defined.
+In terms of best practices your code probably shouldn't define any signal
+handlers, unless it's a server. As in a long-running process that's booted from
+the command line. It's very rare that library code should trap a signal.
+
+ # The 'friendly' method of trapping a signal.
+
+ old_handler = trap(:QUIT) {
+ # do some cleanup
+ puts 'All done!'
+
+ old_handler.call if old_handler.respond_to?(:call)
+ }
+
+This handler for the QUIT signal will preserve any previous QUIT handlers that
+have been defined. Though this looks 'friendly' it's not generally a good idea.
+Imagine a scenario where a Ruby server tells its users they can send it a QUIT
+signal and it will do a graceful shutdown. You tell the users of your library
+that they can send a QUIT signal and it will draw an ASCII rainbow. Now if a
+user sends the QUIT signal both handlers will be invoked. This violates the
+expectations of both libraries.
+Whether or not you decide to preserve previously defined signal handlers is up
+to you, just make sure you know why you're doing it. If you simply want to wire
+up some behaviour to clean up resources before exiting you can use an at_exit
+hook, which we touched on in the chapter about exit codes.
+
+When Can't You Receive Signals?
+
+Your process can receive a signal anytime. That's the beauty of them! They're
+asynchronous.
+Your process can be pulled out of a busy for-loop into a signal handler, or
+even out of a long sleep. Your process can even be pulled from one signal
+handler to another if it receives one signal while processing another. But, as
+expected, it will always go back and finish the code in all the handlers that
+are invoked.
+
+In the Real World
+
+With signals, any process can communicate with any other process on the system,
+so long as it knows its pid. This makes signals a very powerful communication
+tool. It's common to send signals from the shell using kill(1).
+In the real world signals are mostly used by long running processes like
+servers and daemons. And for the most part it will be the human users who are
+sending signals rather than automated programs.
+For instance, the Unicorn web server %{http://unicorn.bogomips.org} responds to
+the INT signal by killing all of its processes and shutting down immediately.
+It responds to the USR2 signal by re-executing itself for a zero-downtime
+restart. It responds to the TTIN signal by incrementing the number of worker
+processes it has running.
+See the SIGNALS file included with Unicorn %{http://unicorn.bogomips.org/
+SIGNALS.html} for a full list of the signals it supports and how it responds to
+them.
+The memprof project has a interesting example of being a friendly citizen when
+handling signals %{https://github.com/ice799/memprof/blob/
+d4bc228aca323b58fea92dbde20c1f8ec36e5386/lib/memprof/signal.rb#L8-16}.
+
+System Calls
+
+Ruby's Process.kill maps to kill(2), Kernel#trap maps roughly to sigaction(2).
+signal(7) is also useful.
+
+Processes Can Communicate
+
+Up until now we've looked at related processes that share memory and share open
+resources. But what about communicating information between multiple processes?
+This is part of a whole field of study called Inter-process communication (IPC
+for short). There are many different ways to do IPC but I'm going to cover two
+commonly useful methods: pipes and socket pairs.
+
+Our First Pipe
+
+A pipe is a uni-directional stream of data. In other words you can open a pipe,
+one process can 'claim' one end of it and another process can 'claim' the other
+end. Then data can be passed along the pipe but only in one direction. So if
+one process 'claims' the position of reader, rather than writer, it will not be
+able to write to the pipe. And vice versa.
+Before we involve multiple processes let's just look at how to create a pipe
+and what we get from that:
+# ./code/snippets/pipe.rb
+
+ reader, writer = IO.pipe #=&gt; [#&lt;IO:fd 5&gt;, #&lt;IO:fd 6&gt;]
+
+IO.pipe returns an array with two elements, both of which are IO objects.
+Ruby's amazing IO class %{http://librelist.com/browser//usp.ruby/2011/9/17/the-
+ruby-io-class/} is the superclass to File, TCPSocket, UDPSocket, and others. As
+such, all of these resources have a common interface.
+The IO objects returned from IO.pipe can be thought of something like anonymous
+files. You can basically treat them the same way you would a File. You can call
+#read, #write, #close, etc. But this object won't respond to #path and won't
+have a location on the filesystem.
+Still holding back from bringing in multiple processes let's demonstrate
+communication with a pipe:
+# ./code/snippets/pipe_io.rb
+
+ reader, writer = IO.pipe
+ writer.write("Into the pipe I go...")
+ writer.close
+ puts reader.read
+
+outputs
+
+ Into the pipe I go...
+
+Pretty simple right? Notice that I had to close the writer after I wrote to the
+pipe? That's because when the reader calls IO#read it will continue trying to
+read data until it sees an EOF (aka. end-of-file marker %{http://
+en.wikipedia.org/wiki/End-of-file}). This tells the reader that no more data
+will be available for reading.
+So long as the writer is still open the reader might see more data, so it
+waits. By closing the writer before reading it puts an EOF on the pipe so the
+reader stops reading after it gets the initial data. If you skip closing the
+writer then the reader will block and continue trying to read indefinitely.
+
+Pipes Are One-Way Only
+
+# ./code/snippets/pipe_direction.rb
+
+ reader, writer = IO.pipe
+ reader.write("Trying to get the reader to write something")
+
+outputs
+
+ &gt;&gt; reader.write("Trying to get the reader to write something")
+ IOError: not opened for writing
+ from (irb):2:in `write'
+ from (irb):2
+
+The IO objects returned by IO.pipe can only be used for uni-directional
+communication. So the reader can only read and the writer can only write.
+Now let's introduce processes into the mix.
+
+Sharing Pipes
+
+In the chapter on forking I described how open resources are shared, or copied,
+when a process forks a child. Pipes are considered a resource, they get their
+own file descriptors and everything, so they are shared with child processes.
+Here's a simple example of using a pipe to communicate between a parent and
+child process. The child indicates to the parent that it has finished an
+iteration of work by writing to the pipe:
+# ./code/snippets/pipe_sharing_with_fork.rb
+
+ reader, writer = IO.pipe
+
+ fork do
+ reader.close
+
+ 10.times do
+ # heavy lifting
+ writer.puts "Another one bites the dust"
+ end
+ end
+
+ writer.close
+ while message = reader.gets
+ $stdout.puts message
+ end
+
+outputs Another one bites the dust ten times.
+Notice that, like above, the unused ends of the pipe are closed so as not to
+interfere with EOF being sent. There's actually one more layer when considering
+EOF now that two processes are involved. Since the file descriptors were copied
+there's now 4 instances floating around. Since only two of them will be used to
+communicate the other 2 instances must be closed. Hence the extra instances of
+closing.
+Since the ends of the pipe are IO objects we can call any IO methods on them,
+not just #read and #write. In this example I use #puts and #gets to read and
+write a String delimited with a newline. I actually used those here to simplify
+one aspect of pipes: pipes hold a stream of data.
+
+Streams vs. Messages
+
+When I say stream I mean that when writing and reading data to a pipe there's
+no concept of beginning and end. When working with an IO stream, like pipes or
+TCP sockets, you write your data to the stream followed by some protocol-
+specific delimiter. For example, HTTP uses a series of newlines to delimit the
+headers from the body.
+Then when reading data from that IO stream you read it in one chunk at a time,
+stopping when you come across the delimiter. That's why I used #puts and #gets
+in the last example: it used a newline as the delimiter for me.
+As you may have guessed it's possible to communicate via messages instead of
+streams. We can't do it with pipe, but we can do it with Unix sockets. Without
+going into too much detail, Unix sockets are a type of socket that can only
+communicate on the same physical machine. As such it's much faster than TCP
+sockets and is a great fit for IPC.
+Here's an example where we create a pair of Unix sockets that can communicate
+via messages:
+# ./code/snippets/socketpair.rb
+
+ require 'socket'
+ Socket.pair(:UNIX, :DGRAM, 0) #=&gt; [#&lt;Socket:fd 15&gt;, #&lt;Socket:fd
+ 16&gt;]
+
+This creates a pair of UNIX sockets that are already connected to each other.
+These sockets communicate using datagrams, rather than a stream. In this way
+you write a whole message to one of the sockets and read a whole message from
+the other socket. No delimiters required.
+Here's a slightly more complex version of the pipe example where the child
+process actually waits for the parent to tell it what to work on, then it
+reports back to the parent once it's finished the work:
+# ./code/snippets/socketpair_communication.rb
+
+ require 'socket'
+
+ child_socket, parent_socket = Socket.pair(:UNIX, :DGRAM, 0)
+ maxlen = 1000
+
+ fork do
+ parent_socket.close
+
+ 4.times do
+ instruction = child_socket.recv(maxlen)
+ child_socket.send("#{instruction} accomplished!", 0)
+ end
+ end
+ child_socket.close
+
+ 2.times do
+ parent_socket.send("Heavy lifting", 0)
+ end
+ 2.times do
+ parent_socket.send("Feather lifting", 0)
+ end
+
+ 4.times do
+ $stdout.puts parent_socket.recv(maxlen)
+ end
+
+outputs:
+
+ Heavy lifting accomplished!
+ Heavy lifting accomplished!
+ Feather lifting accomplished!
+ Feather lifting accomplished!
+
+So whereas pipes provide uni-directional communication, a socket pair provides
+bi-directional communication. The parent socket can both read and write to the
+child socket, and vice versa.
+
+Remote IPC?
+
+IPC implies communication between processes running on the same machine. If
+you're interested in scaling up from one machine to many machines while still
+doing something resembling IPC there are a few things to look into. The first
+one would simply be to communicate via TCP sockets. This option would require
+more boilerplate code than the others for a non-trivial system. Other plausible
+solutions would be RPC %{http://en.wikipedia.org/wiki/Remote_procedure_call}
+(remote procedure call), a messaging system like ZeroMQ %{http://
+www.zeromq.org/}, or the general body of distributed systems %{http://
+en.wikipedia.org/wiki/Distributed_computing}.
+
+In the Real World
+
+Both pipes and socket pairs are useful abstractions for communicating between
+processes. They're fast and easy. They're often used as a communication channel
+instead of a more brute force approach such as a shared database or log file.
+As for which method to use: it depends on your needs. Keep in mind that pipes
+are uni-directional and socket pairs are bi-directional when weighing your
+decision.
+For a more in-depth example have a look at the Spyglass Master class in the
+included Spyglass project. It uses a more involved example of the code you saw
+above where many child processes communicate over a single pipe with their
+parent process.
+
+System Calls
+
+Ruby's IO.pipe maps to pipe(2), Socket.pair maps to socketpair(2). Socket.recv
+maps to recv(2) and Socket.send maps to send(2).
+
+Daemon Processes
+
+Daemon processes are processes that run in the background, rather than under
+the control of a user at a terminal. Common examples of daemon processes are
+things like web servers, or database servers which will always be running in
+the background in order to serve requests.
+Daemon processes are also at the core of your operating system. There are many
+processes that are constantly running in the background that keep your system
+functioning normally. These are things like the window server on a GUI system,
+printing services or audio services so that your speakers are always ready to
+play that annoying 'ding' notification.
+
+The First Process
+
+There is one daemon process in particular that has special significance for
+your operating system. We talked in a previous chapter about every process
+having a parent process. Can that be true for all processes? What about the
+very first process on the system?
+This is a classic who-created-the-creator kind of problem, and it has a simple
+answer. When the kernel is bootstrapped it spawns a process called the init
+process. This process has a ppid of 0 and is the 'grandparent of all
+processes'. It's the first one and it has no ancestor. Its pid is 1.
+
+Creating Your First Daemon Process
+
+What do we need to get started? Not much. Any process can be made into a daemon
+process.
+Let's look to the rack project %{http://github.com/rack/rack} for an example
+here. Rack ships with a rackup command to serve applications using different
+rack supported web servers. Web servers are a great example of a process that
+will never end; so long as your application is active you'll need a server
+listening for connections.
+The rackup command includes an option to daemonize the server and run it in the
+background. Let's have a look at what that does.
+
+Diving into Rack
+
+# ./code/snippets/daemonize.rb
+
+ def daemonize_app
+ if RUBY_VERSION &lt; "1.9"
+ exit if fork
+ Process.setsid
+ exit if fork
+ Dir.chdir "/"
+ STDIN.reopen "/dev/null"
+ STDOUT.reopen "/dev/null", "a"
+ STDERR.reopen "/dev/null", "a"
+ else
+ Process.daemon
+ end
+ end
+
+Lots going on here. Let's first jump to the else block. Ruby 1.9.x ships with a
+method called Process.daemon that will daemonize the current process! How
+convenient!
+But don't you want to know how it works under the hood? I knew ya did! The
+truth is that if you look at the MRI source for Process.daemon %{https://
+github.com/ruby/ruby/blob/c852d76f46a68e28200f0c3f68c8c67879e79c86/
+process.c#L4817-4860} and stumble through the C code it ends up doing the exact
+same thing that Rack does in the if block above.
+So let's continue using that as an example. We'll break down the code line by
+line.
+
+Daemonizing a Process, Step by Step
+
+
+ exit if fork
+
+This line of code makes intelligent use of the return value of the fork method.
+Recall from the forking chapter that fork returns twice, once in the parent
+process and once in the child process. In the parent process it returns the
+child's pid and in the child process it returns nil.
+As always, the return value will be truth-y for the parent and false-y for the
+child. This means that the parent process will exit, and as we know, orphaned
+child processes carry on as normal.
+If a process is orphaned then what happens when you ask for Process.ppid?
+This is where knowledge of the init process becomes relevant. The ppid of
+orphaned processes is always 1. This is the only process that the kernel can be
+sure is active at all times.
+This first step is imperative when creating a daemon because it causes the
+terminal that invoked this script to think the command is done, returning
+control to the terminal and taking it out of the equation.
+
+ Process.setsid
+
+Calling Process.setsid does three things:
+
+ 1. The process becomes a session leader of a new session
+ 2. The process becomes the process group leader of a new process group
+ 3. The process has no controlling terminal
+
+To understand exactly what effect these three things have we need to step out
+of the context of our Rack example for a moment and look a little deeper.
+
+Process Groups and Session Groups
+
+Process groups and session groups are all about job control. By 'job control'
+I'm referring to the way that processes are handled by the terminal.
+We begin with process groups.
+Each and every process belongs to a group, and each group has a unique integer
+id. A process group is just a collection of related processes, typically a
+parent process and its children. However you can also group your processes
+arbitrarily by setting their group id using Process.setpgrp(new_group_id).
+Have a look at the output from the following snippet.
+# ./code/snippets/daemons_grp_eq_pid.rb
+
+ puts Process.getpgrp
+ puts Process.pid
+
+If you ran that code in an irb session then those two values will be equal.
+Typically the process group id will be the same as the pid of the process group
+leader. The process group leader is the 'originating' process of a terminal
+command. ie. If you start an irb process at the terminal it will become the
+group leader of a new process group. Any child processes that it creates will
+be made part of the same process group.
+Try out the following example to see that process groups are inherited.
+# ./code/snippets/daemons_grp_inherited.rb
+
+ puts Process.pid
+ puts Process.getpgrp
+
+ fork {
+ puts Process.pid
+ puts Process.getpgrp
+ }
+
+You can see that although the child process gets a unique pid it inherits the
+group id from its parent. So these two processes are part of the same group.
+You'll recall that we looked previously at Orphaned Processes. In that section
+I said that child processes are not given special treatment by the kernel. Exit
+a parent process and the child will continue on. This is the behaviour when a
+parent process exits, but the behaviour is a bit different when the parent
+process is being controlled by a terminal and is killed by a signal.
+Consider for a moment: a Ruby script that shells out to a long-running shell
+command, eg. a long backup script. What happens if you kill the Ruby script
+with a Ctrl-C?
+If you try this out you'll notice that the long-running backup script is not
+orphaned, it does not continue on when its parent is killed. We haven't set up
+any code to forward the signal from the parent to the child, so how is this
+done?
+The terminal receives the signal and forwards it on to any process in the
+foreground process group. In this case, both the Ruby script and the long-
+running shell command would part of the same process group, so they would both
+be killed by the same signal.
+And then session groups...
+A session group is one level of abstraction higher up, a collection of process
+groups. Consider the following shell command:
+
+ git log | grep shipped | less
+
+In this case each command will get its own process group, since each may be
+creating child processes but none is a child process of another. Even though
+these commands are not part of the same process group one Ctrl-C will kill them
+all.
+These commands are part of the same session group. Each invocation from the
+shell gets its own session group. An invocation may be a single command or a
+string of commands joined by pipes.
+Like in the above example, a session group may be attached to a terminal. It
+might also not be attached to any terminal, as in the case of a daemon.
+Again, your terminal handles session groups in a special way: sending a signal
+to the session leader will forward that signal to all the process groups in
+that session, which will forward it to all the processes in those process
+groups. Turtles all the way down ;)
+There is a system call for retrieving the current session group id, getsid(2),
+but Ruby's core library has no interface to it. Using Process.setsid will
+return the id of the new sesssion group it creates, you can store that if you
+need it.
+So, getting back to our Rack example, in the first line a child process was
+forked and the parent exited. The originating terminal recognized the exit and
+returned control to the user, but the forked process still has the inherited
+group id and session id from its parent. At the moment this forked process is
+neither a session leader nor a group leader.
+So the terminal still has a link to our forked process, if it were to send a
+signal to its session group the forked process would receive it, but we want to
+be fully detached from a terminal.
+Process.setsid will make this forked process the leader of a new process group
+and a new session group. Note that Process.setsid will fail in a process that
+is already a process group leader, it can only be run from child processes.
+This new session group does not have a controlling terminal, but technically
+one could be assigned.
+
+ exit if fork
+
+The forked process that had just become a process group and session group
+leader forks again and then exits.
+This newly forked process is no longer a process group leader nor a session
+leader. Since the previous session leader had no controlling terminal, and this
+process is not a session leader, it's guaranteed that this process can never
+have a controlling terminal. Terminals can only be assigned to session leaders.
+This dance ensures that our process is now fully detached from a controlling
+terminal and will run to its completion.
+
+ Dir.chdir "/"
+
+This changes the current working directory to the root directory for the
+system. This isn't strictly necessary but it's an extra step to ensure that
+current working directory of the daemon doesn't disappear during its execution.
+This avoids problems where the directory that the daemon was started from gets
+deleted or unmounted for any reason.
+
+ STDIN.reopen "/dev/null"
+ STDOUT.reopen "/dev/null", "a"
+ STDERR.reopen "/dev/null", "a"
+
+This sets all of the standard streams to go to /dev/null, a.k.a. to be ignored.
+Since the daemon is no longer attached to a terminal session these are of no
+use anyway. They can't simply be closed because some programs expect them to
+always be available. Redirecting them to /dev/null ensures that they're still
+available to the program but have no effect.
+
+In the Real World
+
+As mentioned, the rackup command ships with a command line option for
+daemonizing the process. Same goes with any of the popular Ruby web servers.
+If you want to dig in to more internals of daemon processes you should look at
+the daemons rubygem %{http://rubygems.org/gems/daemons}.
+If you think you want to create a daemon process you should ask yourself one
+basic question: Does this process need to stay responsive forever?
+If the answer is no then you probably want to look at a cron job or background
+job system. If the answer is yes, then you probably have a good candidate for a
+daemon process.
+
+System Calls
+
+Ruby's Process.setsid maps to setsid(2), Process.getpgrp maps to getpgrp(2).
+Other system calls mentioned in this chapter were covered in detail in previous
+chapters.
+
+Spawning Terminal Processes
+
+A common interaction in a Ruby program is 'shelling out' from your program to
+run a command in a terminal. This happens especially when I'm writing a Ruby
+script to glue together some common commands for myself. There are several ways
+you can spawn processes to run terminal commands in Ruby.
+Before we look at the different ways of 'shelling out' let's look at the
+mechanism they're all using under the hood.
+
+fork + exec
+
+All of the methods described below are variations on one theme: fork(2) +
+execve(2).
+We've had a good look at fork(2) in previous chapters, but this is our first
+look at execve(2). It's pretty simple, execve(2) allows you to replace the
+current process with a different process.
+Put another way: execve(2) allows you to transform the current process into any
+other process. You can take a Ruby process and turn it into a Python process,
+or an ls(1) process, or another Ruby process.
+execve(2) transforms the process and never returns. Once you've transformed
+your Ruby process into something else you can never come back.
+
+ exec 'ls', '--help'
+
+The fork + exec combo is a common one when spawning new processes. execve(2) is
+a very powerful and efficient way to transform the current process into another
+one; the only catch is that your current process is gone. That's where fork(2)
+comes in handy.
+You can use fork(2) to create a new process, then use execve(2) to transform
+that process into anything you like. Voila! Your current process is still
+running just as it was before and you were able to spawn any other process that
+you want to.
+If your program depends on the output from the execve(2) call you can use the
+tools you learned in previous chapters to handle that. Process.wait will ensure
+that your program waits for the child process to finish whatever it's doing so
+you can get the result back.
+
+File descriptors and exec
+
+At the OS level, a call to execve(2) doesn't close any open file descriptors by
+default.
+However, a call to exec in Ruby will close all open file descriptors by default
+(excluding the standard streams).
+In other words, the default OS behaviour when you exec('ls') would be to give
+ls a copy of any open file descriptors, eg. a database connection. This is
+rarely what you want, so Ruby's default is to close all open file descriptors
+before doing an exec.
+This default behaviour of closing file descriptors on exec prevents file
+descriptor 'leaks'. A leak may happen when you fork + exec to spawn another
+process that has no need for the file descriptors you currently have open (like
+your database connections, logfiles, etc.) A leak can waste resources but, even
+worse, can lead to havoc when you try to close your database connection, only
+to find that some other process erroneously still has the connection open.
+However, you may sometimes want to keep a file descriptor open, to pass an open
+logfile or live socket to another program being booted via exec%{The Unicorn
+web server uses this exact behavoiur to enable restarts without losing any
+connections. By passing the open listener socket to the new version of itself
+through an exec, it ensures that the listener socket is never closed during a
+restart.}. You can control this behaviour by passing an options hash to exec
+mapping file descriptor numbers to IO objects, as seen in the following
+example.
+# ./code/snippets/exec_python.rb
+
+ hosts = File.open('/etc/hosts')
+
+ python_code = %Q[import os; print os.fdopen(#{hosts.fileno}).read()]
+
+ # The hash as the last arguments maps any file descriptors that should
+ # stay open through the exec.
+ exec 'python', '-c', python_code, {hosts.fileno =&gt; hosts}
+
+In this example we start up a Ruby program and open the /etc/hosts file. Then
+we exec a python process and tell it to open the file descriptor number that
+Ruby received for opening the /etc/hosts file. You can see that python
+recognizes this file descriptor (because it was shared via execve(2)) and is
+able to read from it without having to open the file again.
+Notice the options hash mapping the file descriptor number to the IO object. If
+you remove that hash, the Python program won't be able to open the file
+descriptor, that declaration keeps it open through the execve(2).
+Unlike fork(2), execve(2) does not share memory with the newly created process.
+In the python example above, whatever was allocated in memory for the use of
+the Ruby program was essentially wiped away when execve(2) was called leaving
+the python program with a blank slate in terms of memory usage.
+
+Arguments to exec
+
+Notice in all of the examples above I sent an array of arguments to exec,
+rather than passing them as a string? There's a subtle difference to the two
+argument forms.
+Pass a string to exec and it will actually start up a shell process and pass
+the string to the shell to interpret. Pass an array and it will skip the shell
+and set up the array directly as the ARGV to the new process.
+Generally you want to avoid passing a string unless you really need to. Pass an
+array where possible. Passing a string and running code through the shell can
+raise security concerns. If user input is involved it may be possible for them
+to inject a malicious command directly in a shell, potentially gaining access
+to any privileges the current process has. In a case where you want to do
+something like exec('ls * | awk '{print($1)}') you'll have to pass it as a
+string.
+
+Kernel#system
+
+
+ system('ls')
+ system('ls', '--help')
+ system('git log | tail -10')
+
+The return value of Kernel#system reflects the exit code of the terminal
+command in the most basic way. If the exit code of the terminal command was 0
+then it returns true, otherwise it returns false.
+The standard streams of the terminal command are shared with the current
+process (through the magic of fork(2)), so any output coming from the terminal
+command should be seen in the same way output is seen from the current process.
+
+Kernel#`
+
+
+ `ls`
+ `ls --help`
+ %x[git log | tail -10]
+
+Kernel#` works slightly differently. The value returned is the STDOUT of the
+terminal program collected into a String.
+As mentioned, it's using fork(2) under the hood and it doesn't do anything
+special with STDERR, so you can see in the second example that STDERR is
+printed to the screen just as with Kernel#system.
+Kernel#` and %x[] do the exact same thing.
+
+Process.spawn
+
+# ./code/snippets/process_spawn.rb
+
+ # This call will start up the 'rails server' process with the
+ # RAILS_ENV environment variable set to 'test'.
+ Process.spawn({'RAILS_ENV' =&gt; 'test'}, 'rails server')
+
+ # This call will merge STDERR with STDOUT for the duration
+ # of the 'ls --help' program.
+ Process.spawn('ls', '--zz', STDERR =&gt; STDOUT)
+
+Process.spawn is a bit different than the others in that it is non-blocking.
+If you compare the following two examples you will see that Kernel#system will
+block until the command is finished, whereas Process.spawn will return
+immediately.
+# ./code/snippets/process_spawn_waitpid.rb
+
+ # Do it the blocking way
+ system 'sleep 5'
+
+ # Do it the non-blocking way
+ Process.spawn 'sleep 5'
+
+ # Do it the blocking way with Process.spawn
+ # Notice that it returns the pid of the child process
+ pid = Process.spawn 'sleep 5'
+ Process.waitpid(pid)
+
+The last example in this code block is a really great example of the
+flexibility of Unix programming. In previous chapters we talked a lot about
+Process.wait, but it was always in the context of forking and then running some
+Ruby code. You can see from this example that the kernel cares not what you are
+doing in your process, it will always work the same.
+So even though we fork(2) and then run the sleep(1) program (a C program) the
+kernel still knows how to wait for that process to finish. Not only that, it
+will be able to properly return the exit code just as was happening in our Ruby
+programs.
+All code looks the same to the kernel; that's what makes it such a flexible
+system. You can use any programming language to interact with any other
+programming language, and all will be treated equally.
+Process.spawn takes many options that allow you to control the behaviour of the
+child process. I showed a few useful ones in the example above. Consult the
+official rdoc %{http://www.ruby-doc.org/core-1.9.3/Process.html#method-c-spawn}
+for an exhaustive list.
+
+IO.popen
+
+# ./code/snippets/spawn_popen_no_block.rb
+
+ # This example will return a file descriptor (IO object). Reading from it
+ # will return what was printed to STDOUT from the shell command.
+ IO.popen('ls')
+
+The most common usage for IO.popen is an implementation of Unix pipes in pure
+Ruby. That's where the 'p' comes from in popen. Underneath it's still doing the
+fork+exec, but it's also setting up a pipe to communicate with the spawned
+process. That pipe is passed as the block argument in the block form of
+IO.popen.
+# ./code/snippets/spawn_popen_block.rb
+
+ # An IO object is passed into the block. In this case we open the stream
+ # for writing, so the stream is set to the STDIN of the spawned process.
+ #
+ # If we open the stream for reading (the default) then
+ # the stream is set to the STDOUT of the spawned process.
+ IO.popen('less', 'w') { |stream|
+ stream.puts "some\ndata"
+ }
+
+With IO.popen you have to choose which stream you have access to. You can't
+access them all at once.
+
+open3
+
+Open3 allows simultaneous access to the STDIN, STDOUT, and STDERR of a spawned
+process.
+# ./code/snippets/spawn_open3_eg.rb
+
+ # This is available as part of the standard library.
+ require 'open3'
+
+ Open3.popen3('grep', 'data') { |stdin, stdout, stderr|
+ stdin.puts "some\ndata"
+ stdin.close
+ puts stdout.read
+ }
+
+ # Open3 will use Process.spawn when available. Options can be passed to
+ # Process.spawn like so:
+ Open3.popen3('ls', '-uhh', :err =&gt; :out) { |stdin, stdout, stderr|
+ puts stdout.read
+ }
+
+Open3 acts like a more flexible version of IO.popen, for those times when you
+need it.
+
+In the Real World
+
+All of these methods are common in the Real World. Since they all differ in
+their behaviour you have to select one based on your needs.
+One drawback to all of these methods is that they rely on fork(2). What's wrong
+with that? Imagine this scenario: You have a big Ruby app that is using
+hundreds of MB of memory. You need to shell out. If you use any of the methods
+above you'll incur the cost of forking.
+Even if you're shelling out to a simple ls(1) call the kernel will still need
+to make sure that all of the memory that your Ruby process is using is
+available for that new ls(1) process. Why? Because that's the API of fork(2).
+When you fork(2) the process the kernel doesn't know that you're about to
+transform that process with an exec(2). You may be forking in order to run Ruby
+code, in which case you'll need to have all of the memory available.
+It's good to keep in mind that fork(2) has a cost, and sometimes it can be a
+performance bottleneck. What if you need to shell out a lot and don't want to
+incur the cost of fork(2)?
+There are some native Unix system calls for spawning processes without the
+overhead of fork(2). Unfortunately they don't have support in the Ruby language
+core library. However, there is a Rubygem that provides a Ruby interface to
+these system calls. The posix-spawn project %{http://github.com/rtomayko/posix-
+spawn} provides access to posix_spawn(2), which is available on most Unix
+systems.
+posix-spawn mimics the Process.spawn API. In fact, most of the options that you
+pass to Process.spawn can also be passed to POSIX::Spawn.spawn. So you can keep
+using the same API and yet reap the benefits of faster, more resource efficient
+spawning.
+At a basic level posix_spawn(2) is a subset of fork(2). Recall the two
+discerning attributes of a new child process from fork(2): 1) it gets an exact
+copy of everything that the parent process had in memory, and 2) it gets a copy
+of all the file descriptors that the parent process had open.
+posix_spawn(2) preserves #2, but not #1. That's the big difference between the
+two. So you can expect a newly spawned process to have access to any of the
+file descriptors opened by the parent, but it won't share any of the memory.
+This is what makes posix_spawn(2) faster and more efficient than fork(2). But
+keep in mind that it also makes it less flexible.
+
+System Calls
+
+Ruby's Kernel#system maps to system(3), Kernel#exec maps to execve(2), IO.popen
+maps to popen(3), posix-spawn uses posix_spawn(2). Ruby controls the 'close-on-
+exec' behaviour using fcntl(2) with the FD_CLOEXEC option.
+
+Ending
+
+Working with processes in Unix is about two things: abstraction and
+communication.
+
+Abstraction
+
+The kernel has an extremely abstract (and simple) view of its processes. As
+programmers we're used to looking at source code as the differentiator between
+two programs.
+We are masters of many programming languages, using each for different
+purposes. We couldn't possibly write memory-efficient code in a language with a
+garbage collector, we'll have to use C. But we need objects, let's use C++. On
+and on.
+But if you ask the kernel it all looks the same. In the end, all of our code is
+compiled down to something simple that the kernel can understand. And when it's
+working at that level all processes are treated the same. Everything gets its
+numeric identifier and is given equal access to the resources of the kernel.
+What's the point of all this jibber-jabber? Using Unix programming lets you
+twiddle with these knobs a little bit. It lets you do things that you can't
+accomplish when working at the programming language level.
+Unix programming is programming language agnostic. It lets you interface your
+Ruby script with a C program, and vice versa. It also lets you reuse its
+concepts across programming languages. The Unix Programming skills that you get
+from Ruby will be just as applicable in Python, or node.js, or C. These are
+skills that are about programming in general.
+
+Communication
+
+Besides the basic act of creating new processes, almost everything else we
+talked about was regarding communication. Following the principle of
+abstraction mentioned above, the kernel provides very abstract ways of
+communicating between processes.
+Using signals any two processes on the system can communicate with each other.
+By naming your processes you can communicate with any user who is inspecting
+your program on the command line. Using exit codes you can send success/failure
+messages to any process that's looking after your own.
+
+Farewell, But Not Goodbye
+
+That's the end! Congratulations for making it here! Believe it or not, you now
+know more than most programmers about the inner workings of Unix processes.
+Now that you know the fundamentals you can go out apply your newfound knowledge
+to anything that you work on. Things are going to start making more sense for
+you. And the more you apply your newfound knowledge: the clearer things will
+become. There's no stopping you now.
+And we haven't even talked about networking :) We'll save that one for another
+edition.
+Read the appendices at the end of this book for a look at some popular Ruby
+projects and how they use Unix processes to be awesome.
+If you have any feedback on this book, find an error or build something cool
+with your newfound knowledge, I'd love to hear it. Send a message to
+jesse@jstorimer.com. Happy coding!
+
+Appendix: How Resque Manages Processes
+
+This section looks at how a popular Ruby job queue, Resque %{http://github.com/
+defunkt/resque#readme}, effectively manages processes. Specifically it makes
+use of fork(2) to manage memory, not for concurrency or speed reasons.
+
+The Architecture
+
+To understand why Resque works the way it does we need a basic understanding of
+how the system works.
+From the README:
+
+ Resque is a Redis-backed library for creating background jobs,
+ placing those jobs on multiple queues, and processing them later.
+
+The component that we're interested in is the Resque worker. Resque workers
+take care of the 'processing them later' part. The job of a Resque worker is to
+boot up, load your application environment, then connect to Redis and try to
+reserve any pending background jobs. When it's able to reserve one such job it
+works off the job, then goes back to step 1. Simple enough.
+For an application of non-trivial size one Resque worker is not enough. So it's
+very common to spin up multiple Resque workers in parallel to work off jobs.
+
+Forking for Memory Management
+
+Resque workers employ fork(2) for memory management purposes. Let's have a look
+at the relevant bit of code (from Resque v1.18.0) eand then dissect it line by
+line.
+
+ if @child = fork
+ srand # Reseeding
+ procline "Forked #{@child} at #{Time.now.to_i}"
+ Process.wait(@child)
+ else
+ procline "Processing #{job.queue} since #{Time.now.to_i}"
+ perform(job, &amp;block)
+ exit! unless @cant_fork
+ end
+
+This bit of code is executed every time Resque works off a job.
+If you've read through the Forking chapter then you'll already be familiar with
+the if/else style here. Otherwise go read it now!
+We'll start by looking at the code inside the parent process (ie. inside the if
+block).
+
+ srand # Reseeding
+
+This line is here simply because of a bug %{http://redmine.ruby-lang.org/
+issues/4338} in a certain patchlevel of MRI Ruby 1.8.7.
+
+ procline "Forked #{@child} at #{Time.now.to_i}"
+
+procline is Resque's internal way of updating the name of the current process.
+Remember we noted that you can change the name of the current process by
+setting $0 but Ruby doesn't include a method for it?
+This is Resque's solution. procline sets the name of the current process.
+
+ Process.wait(@child)
+
+If you've read the chapter on Process.wait then this line of code should be
+familiar to you.
+The @child variable was assigned the value of the fork call. So in the parent
+process that will be the child pid. This line of code tells the parent process
+to block until the child is finished.
+Now we'll look at what happens in the child process.
+
+ procline "Processing #{job.queue} since #{Time.now.to_i}"
+
+Notice that both the if and else block make a call to procline. Even though
+these two lines are part of the same logical construct they are being executed
+in two different processes. Since the process name is process-specific these
+two calls will set the name for the parent and child process respectively.
+
+ perform(job, &amp;block)
+
+Here in the child process is where the job is actually 'performed' by Resque.
+
+ exit! unless @cant_fork
+
+Then the child process exits.
+
+Why Bother?
+
+As mentioned in the first paragraph of this chapter, Resque isn't doing this to
+achieve concurrency or to make things faster. In fact, it adds an extra step to
+the processing of each job which makes the whole thing slower. So why go to the
+trouble? Why not just process job after job?
+Resque uses fork(2) to ensure that the memory usage of its worker processes
+don't bloat. Let's review what happens when a Resque worker forks and how that
+affects the Ruby VM.
+You'll recall that fork(2) creates a new process that's an exact copy of the
+original process. The original process, in this case, has preloaded the
+application environment and nothing else. So we know that after forking we'll
+have a new process with just the application environment loaded.
+Then the child process will go to the task of working off the job. This is
+where memory usage can go awry. The background job may require that image files
+are loaded into main memory for processing, or many ActiveRecord objects are
+fetched from the database, or any other operation that requires large amounts
+of main memory to be used.
+Once the child process is finished with the job it exits, which releases all of
+its memory back to the OS to clean up. Then the original process can resume,
+once again with only the application environment loaded.
+So each time after a job is performed by Resque you end up back at a clean
+slate in terms of memory usage. This means that memory usage may spike when
+jobs are being worked on, but it should always come back to that nice baseline.
+
+Doesn't the GC clean up for us?
+
+Well, yes, but it doesn't do a great job. It does an OK job. The truth is that
+MRI's GC has a hard time releasing memory that it doesn't need anymore.
+When the Ruby VM boots up it is allocated a certain block of main memory by the
+kernel. When it uses up all that it has it needs to ask for another block of
+main memory from the kernel.
+Due to numerous issues with Ruby's GC (naive approach, disk fragmentation) it
+is rare that the VM is able to release a block of memory back to the kernel. So
+the memory usage of a Ruby process is likely to grow over time, but not to
+shrink. Now Resque's approach begins to make sense!
+If the Resque worker simply worked off each job as it became available then it
+wouldn't be able to maintain that nice baseline level of memory usage. As soon
+as it worked on a job that required lots of main memory then that memory would
+be stuck with the worker process until it exited.
+Even if subsequent jobs needed much less memory Ruby would have a hard time
+giving that memory back to the kernel. Hence, the worker processes would
+inevitably get bigger over time. Never shrinking.
+Thanks to the power of fork(2) Resque workers are reliable and don't need to be
+restarted after working a certain number of jobs.
+
+Appendix: How Unicorn Reaps Worker Processes
+
+Any investigation of Unix Programming in the Ruby language would be remiss
+without many mentions of the Unicorn web server %{http://unicorn.bogomips.org}.
+Indeed, the project has already been mentioned several times in this book.
+What's the big deal? Unicorn is a web server that attempts to push as much
+responsibility onto the kernel as it can. It uses lots of Unix Programming. The
+codebase is chock full of Unix Programming techniques.
+Not only that, but it's performant and reliable. It's used by lots of big Ruby
+websites like Github and Shopify.
+The point is, if this book has whet your appetite and you want to learn more
+about Unix Programming in Ruby you should plumb the depths of Unicorn. It may
+take you several trips into the belly of the mythical beast but you will come
+out with better understanding and new ideas.
+
+Reaping What?
+
+Before we dive into the code I'd like to provide a bit of context about how
+Unicorn works. At a very high level Unicorn is a pre-forking web server.
+This means that you boot it up and tell it how many worker processes you would
+like it to have. It starts by initializing its network sockets and loading your
+application. Then it uses fork(2) to create the worker processes. It uses the
+master-worker pattern we mentioned in the chapter on forking.
+The Unicorn master process keep a heartbeat on each of its workers and ensures
+they're not taking too long to process requests. The code below is used when
+you tell the Unicorn master process to exit. As we covered in chapter (Forking)
+if a parent process doesn't kill its children before it exits they will
+continue on without stopping.
+So it's important that Unicorn clean up after itself before it exits. The code
+below is invoked as part of Unicorn's exit procedure. Before invoking this code
+it will send a QUIT signal to each of its worker process, instructing it to
+exit gracefully.
+The code below is used by Unicorn (current as of v4.0.0) to clean up its
+internal representation of its workers and ensure that they all exited
+properly.
+Let's dive in.
+
+ # reaps all unreaped workers
+ def reap_all_workers
+ begin
+ wpid, status = Process.waitpid2(-1, Process::WNOHANG)
+ wpid or return
+ if reexec_pid == wpid
+ logger.error "reaped #{status.inspect} exec()-ed"
+ self.reexec_pid = 0
+ self.pid = pid.chomp('.oldbin') if pid
+ proc_name 'master'
+ else
+ worker = WORKERS.delete(wpid) and worker.close rescue nil
+ m = "reaped #{status.inspect} worker=#{worker.nr rescue 'unknown'}"
+ status.success? ? logger.info(m) : logger.error(m)
+ end
+ rescue Errno::ECHILD
+ break
+ end while true
+ end
+
+We'll take it one line at a time:
+
+ begin
+ ...
+ end while true
+
+The first thing that I want to draw your attention to is the fact that the
+begin block that's started on the first line of this method actually starts an
+endless loop. There are others ways to write endless loops in Ruby, but the
+important part is to keep in mind that we are in an endless loop so we'll need
+a hard return or a break in order to finish this method.
+
+ wpid, status = Process.waitpid2(-1, Process::WNOHANG)
+
+This line should have some familiarity. We looked at Process.waitpid2 in the
+chapter on Process.wait.
+There we saw that passing a valid pid as the first option would cause the
+Process.waitpid call to wait only for that pid. What happens when you pass -
+1 to Process.waitpid? We know that there are no processes with a pid less than
+1, so...
+Passing -1 waits for any child process to exit. It turns out that this is the
+default option to that method. If you don't specify a pid then it uses -1 by
+default. In this case, since the author needed to pass something in for the
+second argument, the first argument couldn't be left blank, so it was set to
+the default.
+Hey, if you're waiting on any child process why not use Process.wait2 then? I
+suspect that the author decided here, and I agree with him, that it was most
+readable to use a waitpid variation when specifying a value for the pid. As
+mentioned above the value specified is simply the default, but nonetheless it's
+most salient to use waitpid if you're specifying any value for the pid.
+Remember Process::WNOHANG from before? When using this flag if there are no
+processes that have exited for us then it will not block and simply return nil.
+
+ wpid or return
+
+This line may look a little odd but it's actually a conditional return
+statement. If wpid is nil then we know that the last line returned nil. This
+would mean that there are no child processes that have exited returning their
+status to us.
+If this is the case then this method will return and its job is done.
+
+ if reexec_pid == wpid
+ logger.error "reaped #{status.inspect} exec()-ed"
+ self.reexec_pid = 0
+ self.pid = pid.chomp('.oldbin') if pid
+ proc_name 'master'
+
+I don't want to spend much time talking about this bit. The 'reexec' stuff has
+to do with Unicorn internals, specifically how it handles zero-downtime
+restarts. Perhaps I can cover that process in a future report.
+One thing that I will draw your attention to is the call to proc_name. This is
+similar to the procline method from the Resque chapter. Unicorn also has a
+method for changing the display name of the current process. A critical piece
+of communication with the user of your software.
+
+ else
+ worker = WORKERS.delete(wpid) and worker.close rescue nil
+
+Unicorn stores a list of currently active worker processes in its WORKERS
+constant. WORKERS is a hash where the key is the pid of the worker process and
+the value is an instance of Unicorn::Worker.
+So this line removes the worker process from Unicorn's internal tracking list
+(WORKERS) and calls #close on the worker instance, which closes its no longer
+needed heartbeat mechanism.
+
+ m = "reaped #{status.inspect} worker=#{worker.nr rescue 'unknown'}"
+
+These lines craft a log message based on the status returned from the
+Process.waitpid2 call.
+The string is crafted by first inspecting the status variable. What does that
+look like? Something like this:
+
+ #&lt;Process::Status: pid=32227,exited(0)&gt;
+ # or
+ #&lt;Process::Status: pid=32308,signaled(SIGINT=2)&gt;
+
+It includes the pid of the ended process, as well as the way it ended. In the
+first line the process exited itself with an exit code of 0. In the second line
+the process was killed with a signal, SIGINT in this case. So a line like that
+will be added to the Unicorn log.
+The second part of the log line worker.nr is Unicorn's internal representation
+of the worker's number.
+
+ status.success? ? logger.info(m) : logger.error(m)
+
+This line takes the crafted log message and sends it to the logger. It uses the
+success? method on the status object to log this message as at the INFO level
+or the ERROR level.
+The success? method will only return true in one case, when the process exited
+with an exit code of 0. If it exited with a different code it will return
+false. If it was killed by a signal, it will return nil.
+
+ rescue Errno::ECHILD
+ break
+
+This is part of the top-level begin statement in this method. If this exception
+is raised then the endless loop that is this method breaks and it will return.
+The Errno::ECHILD exception will be raised by Process.waitpid2 (or any of its
+cousins) if there are no child processes for the current processes. If that
+happens in this case then it means the job of this method is done! All of the
+child processes have been reaped. So it returns.
+
+Conclusion
+
+If this bit of code interested you and you want to learn more about Unix
+Programming in Ruby, Unicorn is a great resource. See the official site at
+http://unicorn.bogomips.org and go learn!
+
+Appendix: Preforking Servers
+
+I'm glad you made it this far because this chapter may be the most action-
+packed in the whole book. Preforking servers bring together a lot of the
+concepts that are explained in this book into a powerful, highly-efficient
+approach to solving certain problems.
+There's a good chance that you've used either Phusion Passenger %{http://
+www.modrails.com/} or Unicorn %{http://unicorn.bogomips.org}. Both of those
+servers, and Spyglass (the web server included with this book), are examples of
+preforking servers.
+At the core of all these projects is the preforking model. There are a few
+things about preforking that make it special, here are 3:
+
+ 1. Efficient use of memory.
+ 2. Efficient load balancing.
+ 3. Efficient sysadminning.
+
+We'll look at each in turn.
+
+Efficient use of memory
+
+In the chapter on forking we discussed how fork(2) creates a new process that's
+an exact copy of the calling (parent) process. This includes anything that the
+parent process had in memory at the time.
+Loading a Rails App
+On my Macbook Pro loading only Rails 3.1 (no libraries or application code)
+takes in the neighbourhood of 3 seconds. After loading Rails the process is
+consuming about 70MB of memory.
+Whether or not these numbers are exactly the same on your machine isn't
+significant for our purposes. I'll be referring to these as a baseline in the
+following examples.
+Preforking uses memory more efficiently than does spawning multiple unrelated
+processes. For comparison, this is like running Unicorn with 10 worker
+processes compared to running 10 instances of Mongrel (a non-preforking
+server).
+Let's review what will happen from the standpoint of processes, first looking
+at Mongrel, then at Unicorn, when we boot up 10 instances of each server.
+
+Many Mongrels
+
+Booting up 10 Mongrel processes in parallel will look about the same as booting
+up 10 Mongrel processes serially.
+When booting them in parallel all 10 processes will be competing for resources
+from the kernel. Each will be consuming resources to load Rails, and each can
+be expected to take the customary 3 seconds to boot. In total, that's 30
+seconds. On top of that, each process will be consuming 70MB of memory once
+Rails has been loaded. In total, that's 700MB of memory for 10 processes.
+A preforking server can do better.
+
+Many Unicorn
+
+Booting up 10 Unicorn workers will make use of 11 processes. One process will
+be the master, babysitting the other worker processes, of which there are 10.
+When booting Unicorn only one process, the master process, will load Rails.
+There won't be competition for kernel resources.
+The master process will take the customary 3 seconds to load, and forking 10
+processes will be more-or-less instantaneous. The master process will be
+consuming 70MB of memory to load Rails and, thanks to copy-on-write, the child
+processes should not be using any memory on top of what the master was using.
+The truth is that it does take some time to fork a process (it's not
+instantaneous) and that there is some memory overhead for each child process.
+These values are negligible compared to the overhead of booting many Mongrels.
+Preforking wins.
+Keep in mind that the benefits of copy-on-write are forfeited if you're running
+MRI. To reap these benefits you need to be using REE.
+
+Efficient load balancing
+
+I already highlighted the fact that fork(2) creates an exact copy of the
+calling process. This includes any file descriptors that the parent process has
+open.
+The Very Basics of Sockets
+Efficient load balancing has a lot to do with how sockets work. Since we're
+talking about web servers: sockets are important. They're at the very core of
+networking. As I hinted earlier: sockets and networking are a complex topic,
+too big to fit into this book. But you need to understand the very basic
+workflow in order to understand this next part.
+Using a socket involves multiple steps: 1) A socket is opened and binds to a
+unique port, 2) A connection is accepted on that socket using accept(2), and 3)
+Data can be read from this connection, written to the connection, and
+ultimately the connection is closed. The socket stays open, but the connection
+is closed.
+Typically this would happen in the same process. A socket is opened, then the
+process waits for connections on that socket. The connection is handled,
+closed, and the loop starts over again.
+Preforking servers use a different workflow to let the kernel balance heavy
+load across the socket. Let's look at how that's done.
+In servers like Unicorn and Spyglass the first thing that the master process
+does is open the socket, before even loading the Rails app. This is the socket
+that is available for external connections from web clients. But the master
+process does not accept connections. Thanks to the way fork(2) works, when the
+master process forks worker processes each one gets a copy of the open socket.
+This is where the magic happens.
+Each worker process has an exact copy of the open socket, and each worker
+process attempts to accept connections on that socket using accept(2). This is
+where the kernel takes over and balances load across the 10 copies of the
+socket. It ensures that one, and only one, process can accept each individual
+connection. Even under heavy load the kernel ensures that the load is balanced
+and that only one process handles each connection.
+Compare this to how Mongrel achieves load balancing.
+Given 10 unrelated processes that aren't sharing a socket each one must bind to
+a unique port. Now a piece of infrastructure must sit in front of all of the
+Mongrel processes. It must know which port each Mongrel processes is bound to,
+and it must do the job of making sure that each Mongrel is handling only one
+connection at a time and that connections are load balanced properly.
+Again, preforking wins both for simplicity and resource efficiency.
+
+Efficient sysadminning
+
+This point is less technical, more human-centric.
+As someone administering a preforking server you typically only need to issue
+commands (usually signals) to the master process. It will handle keeping track
+of and relaying messages to its worker processes.
+When administering many instances of a non-preforking server the sysadmin must
+keep track of each instance, adminster them separately and ensure that their
+commands are followed.
+
+Basic Example of a Preforking Server
+
+What follows is some really basic code for a preforking server. It can respond
+to requests in parallel using multiple processes and will leverage the kernel
+for load balancing. For a more involved example of a preforking server I
+suggest you check out the Spyglass source code (next chapter) or the Unicorn
+source code.
+# ./code/snippets/prefork.rb
+
+ require 'socket'
+
+ # Open a socket.
+ socket = TCPServer.open('0.0.0.0', 8080)
+
+ # Preload app code.
+ # require 'config/environment'
+
+ # Forward any relevant signals to the child processes.
+ [:INT, :QUIT].each do |signal|
+ Signal.trap(signal) {
+ wpids.each { |wpid| Process.kill(signal, wpid) }
+ }
+ end
+
+ # For keeping track of child process pids.
+ wpids = []
+
+ 5.times {
+ wpids &lt;&lt; fork do
+ loop {
+ connection = socket.accept
+ connection.puts 'Hello Readers!'
+ connection.close
+ }
+ end
+ }
+
+ Process.waitall
+
+You can consume it with something like nc(1) or telnet(1) to see it in action.
+
+ $ nc localhost 8080
+ $ telnet localhost 8080
+
+Notice that I snuck something new into that one? We haven't seen
+Process.waitall yet, it appeared on the last line of the example code above.
+Process.waitall is simply a convenience method around Process.wait. It runs a
+loop waiting for all child processes to exit and returns an array of process
+statuses. Useful when you don't actually want to do anything with the process
+status info, it just waits for the children to exit.
+
+Appendix: Spyglass
+
+If you want to know even more about Unix processes then your next stop should
+be the included Spyglass project. Why? Because it was written specifically to
+showcase Unix programming concepts.
+If you have a copy of this book but didn't get the included code project, send
+me an email and I'll hook you up: jesse@jstorimer.com.
+The case studies you read are meant to showcase the same thing, but at times
+they can be dense and hard to read when you're new to Unix programming.
+Spyglass is meant to bridge that gap.
+
+Spyglass' Architecture
+
+Spyglass is a web server. It opens a socket to the outside world and handles
+web requests. Spyglass parses HTTP, is Rack-compliant, and is awesome.
+Here's a brief summary of how to start a Spyglass server and what happens when
+it receives an HTTP request.
+
+Booting Spyglass
+
+
+ $ spyglass
+ $ spyglass -p other_port
+ $ spyglass -h # for help
+
+
+Before a Request Arrives
+
+After it boots, control is passed to Spyglass::Lookout. This class DOES NOT
+preload the Rack application and knows nothing about HTTP, it just waits for a
+connection. At this point in time Spyglass is extremely lightweight, it's
+nothing more than just an open socket.
+
+Connection is Made
+
+When Spyglass::Lookout is notified that a connection has been made it forks a
+Spyglass::Master to actually handle the connection. Spyglass::Lookout uses
+Process.wait after forking the master process, so it remains idle until the
+master exits.
+Spyglass::Master is responsible for preloading the Rack application and
+forking/babysitting worker processes. The master process itself doesn't know
+anything about HTTP parsing or request handling.
+The real work is done in Spyglass::Worker. It accepts connections using the
+method outlined in the chapter on preforking, leaning on the kernel for load
+balancing. Once it has a connection it parses the HTTP request, calls the Rack
+app, and writes the response to the client.
+
+Things Get Quiet
+
+So long as there is a steady flow of incoming traffic Spyglass continues to act
+as a preforking server. If its internal timeout is able to expire without
+receiving any more incoming requests then the master process, and all its
+worker processes, exit. Control is returned to Spyglass::Lookout and the
+workflow begins again.
+
+Getting Started
+
+Spyglass is not a production-ready server, so don't rush to start using it for
+your projects! It's a codebase that's meant to be read. It's heavily commented
+and formatted documentation is generated with rocco %{http://
+rtomayko.github.com/rocco}.
+The best thing to do at this point is enter the code directory that comes with
+this book in your terminal, find the Spyglass codebase, and run rake read. This
+will open up the formatted documentation in your browser for your reading
+pleasure.
+Now go forth and read the code! And may the fork(2) be with you!
generated by cgit v1.2.3 (git 2.39.1) at 2026-02-03 14:01:48 +0000