lfarm is a Common Lisp library for distributing work across machines using the [lparallel] (http://lparallel.org) API.
The easiest way to obtain lfarm is through Quicklisp. Alternatively, one may clone the repository.
In lparallel a kernel was defined as abstract entity that schedules and executes tasks. lparallel implements it with a thread pool, while in lfarm it is implemented with a set of servers that execute tasks.
;; Create two servers bound to ports 11111 and 22222.
(ql:quickload :lfarm-server)
(lfarm-server:start-server "127.0.0.1" 11111 :background t)
(lfarm-server:start-server "127.0.0.1" 22222 :background t)
;; Connect to the servers. `lfarm' is a package nickname for `lfarm-client'.
(ql:quickload :lfarm-client)
(setf lfarm:*kernel* (lfarm:make-kernel '(("127.0.0.1" 11111)
("127.0.0.1" 22222))))
;; Use the lparallel API.
(defpackage :example (:use :cl :lfarm))
(in-package :example)
(let ((channel (make-channel)))
(submit-task channel #'+ 3 4)
(receive-result channel))
;; => 7
(let ((f (future (+ 3 4))))
(force f))
;; => 7
(plet ((x (+ 3 4))
(y (+ 5 6)))
(+ x y))
;; => 18
(pmapcar '1+ #(1 2 3)) ; => (2 3 4)
(pmapcar #'1+ #(1 2 3)) ; => (2 3 4)
(preduce '+ #(1 2 3)) ; => 6
(pmap-reduce '1+ '+ #(1 2 3)) ; => 9
Although the servers in this example are local, lfarm servers may run in separate Lisp instances on remote machines.
There are some restrictions on a task slated for remote execution. A task must be
- a lambda form, or
- a function that exists on the remote servers, or
- a function defined with
deftask
.
deftask
is just like defun
except the function definition is
recorded. (A Lisp implementation may record a function definition, but
is not required to do so.)
(deftask add (x y)
(+ x y))
(let ((channel (make-channel)))
(submit-task channel #'add 3 4)
(receive-result channel))
;; => 7
submit-task
notices that add
was defined with deftask
and
converts it to a named lambda before submitting it to a server.
To define add
remotely use broadcast-task
, which executes a given
task on all servers.
(broadcast-task (lambda () (defun add (x y) (+ x y))))
Or more likely add
would be part of a system that is loaded on all
servers.
(broadcast-task #'ql:quickload :my-stuff)
Limited support for closures is available on SBCL, CCL, LispWorks, and
Allegro. Lexical variables and symbol macrolets are captured, but
lexical functions (flet
, labels
) are not.
Tasks are not macroexpanded in order to ensure portability across clients and servers.
The lfarm-client
system defines the lfarm-client
package which has
the nickname lfarm
. It exports the lparallel kernel
API with the following differences.
- tasks have the aforementioned restrictions placed upon them
- the addition of
deftask
make-kernel
expects addresses, and lacks the:context
and:bindings
argumentstask-handler-bind
does not exist*debug-tasks-p*
and*kernel-spin-count*
exist but have no effectsubmit-task
is a macro that wrapssubmit-task*
(see the Details section)- the addition of
broadcast-task
which similarly wrapsbroadcast-task*
task-execution-error
is signaled when a task fails on a remote server, instead of the actual error (which may not have local meaning)
Promises and a limited number of
cognates are also available,
found in the packages lfarm-client.promise
and
lfarm-client.cognate
respectively and also exported by
lfarm-client
.
The systems lfarm-server
and lfarm-admin
provide the following functions.
-
lfarm-server:start-server host port &key background name
-- Start a server instance listening athost
:port
. Ifbackground
is true then spawn the server in a separate thread namedname
. -
lfarm-admin:ping host port &key timeout
-- Send a ping to the lfarm server athost
:port
. Keep trying to make contact fortimeout
seconds, or iftimeout
is nil then try forever. Default is 3 seconds. Returns true if successful and nil otherwise. -
lfarm-admin:end-server host port
-- End the server athost
:port
. This only stops new connections from being made. Connections in progress are unaffected.
The purpose of an lfarm server is to execute arbitrary code, so it is highly advised to enable some form of security. lfarm directly supports Kerberos (or Active Directory) authentication. Alternatively, SSH tunnels may be used.
;; On the remote machine
(ql:quickload :lfarm-server)
(lfarm-server:start-server "127.0.0.1" 33333)
To create a tunnel,
# On the local machine
$ ssh -f -L 33333:127.0.0.1:33333 <remote-address> -N
The remote server should now be accessible locally.
;; On the local machine
(ql:quickload :lfarm-admin)
(lfarm-admin:ping "127.0.0.1" 33333) ;=> T
Of course there is still local security to consider, as local users on both ends have access to the server. If this is a concern then a packet filtering tool such as iptables may be used.
The lfarm-gss
system provides support for GSSAPI authentication. The
:auth
argument to lfarm-server:start-server
and
lfarm-client:make-kernel
accepts an instance of
lfarm-gss:gss-auth-server
and lfarm-gss:gss-auth-client
respectively.
When creating a server, the class lfarm-gss:gss-auth-server
accepts
the initialization keyword :service-name
. This value is indicats
which service type should be used when requesting a ticket for the
remote service. The default is lfarm
. In other words, if an attempt
is done to connect to the server at server.example.com
, the service
principal will be lfarm/server.example.com
.
When creating a kernel (client), the class lfarm-gss:gss-auth-client
accepts the initialization keyword :allowed-users
which specifies a
list of all users that are allowed to connect to the server. Each
element should be a string representing the principal name (including
realm) of the user that is allowed to connect. For example:
[email protected]
.
If a more complex authorization mechanism is needed which is not
covered by the simple user list as described above, you can subclass
the gss-auth-server
class and then implement the method
lfarm-gss:name-accepted
on your new class. This generic function
takes two arguments, the authentication object and the name to be
verified, and should return non-NIL if the user is allowed to connect.
Note that the name is an instance of cl-gss:name
, and you need to
call the function cl-gss:name-to-string
on it to extract the actual
name.
The server needs to have access to the service principal in a keytab file. How to create the keytab file depends on your Kerberos server implementation:
-
For MIT Kerberos: http://web.mit.edu/kerberos/krb5-1.5/krb5-1.5.4/doc/krb5-admin/Adding-Principals-to-Keytabs.html
-
For Heimdal: http://www.h5l.org/manual/HEAD/info/heimdal/keytabs.html (don't forget to add the
-k
flag to specify the file to which the key should be written) -
For Active Directory: http://technet.microsoft.com/en-us/library/bb742433.aspx
Once you have the keytab file, you have to make sure that it is
loaded. The easiest way to do this is to simply call
CL-GSS:KRB5-REGISTER-ACCEPTOR-IDENTITY
and pass in the name of the
keytab file.
The other way is to make sure the environment variable KRB5_KTNAME
is set to the path of the keytab file and that it is readable by the
lfarm server instance.
If the keytab file has not been loaded, the server will fail to authenticate and you will get a security error when the client attempts to connect to the server.
That covers perhaps all you need to know about lfarm. Those who are curious may read on (or not).
Serialization is done with cl-store. It uses a portable serialization format, allowing lfarm clients and servers to run on different Lisp implementations.
A symbol is deserialized on the remote server with its home package intact. If the server encounters a symbol whose package does not exist, an empty version of the package is automatically generated.
The lfarm client is obstinate with regards to connections: if there is
a connection error then it tries to reconnect, and will continue
trying. We may therefore restart servers while using the same kernel
instance, or call make-kernel
before any servers exist (the call
will block until they do).
Note it is possible for a task to be executed twice (or more). If a connection error occurs in the time interval after a task has been submitted and before its result has been received, the client will attempt to submit the task again.
In lparallel submit-task
is a function, but in lfarm it is a macro
that provides syntactic sugar for the function submit-task*
.
(submit-task channel #'+ 3 4)
;; =macroexpand=> (SUBMIT-TASK* CHANNEL '+ 3 4)
(submit-task channel (lambda (x) (1+ x)) 3)
;; =macroexpand=> (SUBMIT-TASK* CHANNEL '(LAMBDA (X) (1+ X)) 3)
submit-task
may alter the task argument before giving it to
submit-task*
, which expects a symbol or a lambda form. Sharp-quote
is replaced with quote, and a lambda form gets quoted. This provides a
semblance with lparallel:submit-task
and relieves us from having to
write '(lambda ...)
and 'f
in place of (lambda ...)
and #'f
.
Verbose logging is enabled by binding lfarm-common:*log-level*
to
:info
(default is :error
). The log stream is
lfarm-common:*log-stream*
(default is *debug-io*
).
The lfarm test suite assumes a working ssh executable is present and
that passwordless authorization has been set up for "ssh localhost".
To run it load the lfarm-test
system and call lfarm-test:execute
,
which may be given some configuration options. Unrecognized Lisp
implementations will require configuration (namely, specifying the
lisp executable and the command-line switch to eval a form). Tests
also assume that Quicklisp has been installed (but not necessarily
loaded), although configuration may remove this assumption.
The client has an internal lparallel kernel in which each worker thread manages a connection to an assigned remote server, one worker per server. When a worker connects to a server, the server enters a task execution loop wherein a form is deserialized, maybe compiled, and funcalled; repeat. A server may serve multiple clients.
Though an async backend is possible, this threaded implementation was chosen because it was easy and portable.
Opportunities for optimization in the realm of remote task queues and remote task stealing have been callously ignored. Task queues are local.
James M. Lawrence [email protected]
Kerberos support by Elias Martenson [email protected]