Tag Archive for 'dynamic languages'

Thoughts on MagLev - VM’s for everybody!

One of the most visible presentations from last weeks RailsConf was Avi Bryant’s demonstration of MagLev, which is a RubyVM that is based on Gemstone’s S/64 VM for Smalltalk. This caused a stir because the micro benchmark performance of MagLev looks really good because S/64 has been out in production for a while and because it appears to have some really interesting features (an OODB, shared VM’s, etc). MagLev is a reminder that the world of production quality, high-performance virtual machines is bigger than many of us remember at times.

I believe that over the next few years we will see a flourishing of virtual machines, as well as languages atop existing virtual machines. Take for example Reia, a Ruby/Pythonesque experiment atop Erlang’s BEAM VM. As we return to a multi language world, we will also necessarily return to a multiple implementation world. Before Java, there were many languages and many implementations of those languages. You could argue that there were probably too many, and I think that’s probably true. I would argue that we need to enter a new period of language and runtime experimentation. A big driver, but not the only driver, for this is the approaching multi-core world. When you don’t know how to solve something, more attempts at solutions is better.

Notes on A History of Erlang

Joe Armstrong wrote a paper for last year’s HOPL-III conference on the history of Erlang. For some reason, I didn’t get a paper copy of those proceedings, and was too busy to notice their absence. Fortunately Lambda the Ultimate picked it up and supplied links to the paper and the accompanying presentation. Digging into the history of something like Erlang is always fascinating, and Armstrong has done a good job of explaining how Erlang came to be.

Here are a bunch of quotes on topics that I found interesting. I’ve grouped them into categories, but searching the PDF of the paper shouldn’t be hard if you want to know where they originated.

Sources of inspiration

Those familiar with Prolog will not find it at all surprising that Erlang has its roots in Prolog (mostly due to implementation reasons). What I did find interesting was the origin/history/viewpoint on the concurrency model

The explanations of what Erlang was have changed with time:

1. 1986 – Erlang is a declarative language with added concurrency.

2. 1995 – Erlang is a functional language with added concurrency.

3. 2005 – Erlang is a concurrent language consisting of communicating components where the components are written in a functional language.

Today we emphasize the concurrency.

Note that the word actor never appears in those descriptions. Indeed, the word actor does not appear in the paper at all. So for all the discussion about Erlang’s usage of the actor model, it appears that the Erlang folks independently duplicated many of the ideas for Hewitt’s Actors. I think that is kind of interesting.

Lisp and Smalltalk are cited as inspirations, but more for the implementation of the runtime than for any features in the language. I came away from the paper with the impression that Armstrong and his colleagues are not paradigm ideologues. They are trying to get the job done.

Reliability

There is a huge emphasis on reliability throughout the paper, supporting Steve Vinoski’s remarks about Erlang. I’l just include a series of quotes, which you can interpret as you see fit:

Erlang was designed for writing concurrent programs that “run forever”

At an early stage we rejected any ideas of sharing resources between processes because of the difficulty of error handling. In many circumstances, error recovery is impossible if part of the data needed to perform the error recovery is located on a remote machine and if that remote machine has crashed.

In order to make systems reliable, we have to accept the extra cost of copying data structures between processes and always make sure that processes have enough data to continue by themselves if other processes crash

The key observation here is to note that the error-handling mechanisms were designed for building fault-tolerant systems, and not merely for protecting from program exceptions. You cannot build a fault-tolerant system if you only have one computer. The minimal configuration for a fault-tolerant system has two computers. These must be configured so that both observe each other. If one of the computers crashes, then the other computer must take over whatever the first computer was doing.

This means that the model for error handling is based on the idea of two computers that observe each other. Error detection and recovery is performed on the remote computer and not on the local computer.

Links in Erlang are provided to control error propagation paths for errors between processes.

It was about this time that we realized very clearly that shared data structures in a distributed system have terrible properties in the presence of failures. If a data structure is shared by two physical nodes and if one node fails, then failure recovery is often im-possible. The reason why Erlang shares no data structures and uses pure copying message passing is to sidestep all the nasty problems of figuring out what to replicate and how to cope with failures in a distributed system.

In our world, we were worried by software failures where replication does not help.

Design criteria

Here are some quotes related the design criteria for Erlang.

Changing code on the fly was an initial key requirement

the notion that three properties of a programming language were central to the efficient operation of a concurrent language or operating system. These were:

1) the time to create a process

2) the time to perform a context switch between two different processes

3) the time to copy a message between two processes

The performance of any highly-concurrent system is dominated by these three times.

One of the earliest design decisions in Erlang was to use a form of buffering selective receive

Pipes were rejected in favor of messages

In the concurrent logic programming languages, concurrency is implicit and extremely fine-grained. By comparison Erlang has explicit concurrency (via processes) and the processes are coarse-grained.

The final strategy we adopted after experimenting with many different strategies was to use per-process stop-and-copy GC. The idea was that if we have many thousands of small processes then the time taken to garbage collect any individual process will be small.

Current systems run with tens to hundreds of thousands of processes and it seems that when you have such large numbers of processes, the effects of GC in an individual process are insignificant.

The BEAM compiler compiled Erlang programs to BEAM instructions.

On functionalness

This next series of quotes will probably make the pure functional language people shake their heads, but i think that it’s important to understand Erlang in contrast with pure functional languages.

Erlang is not a strict side-effect-free functional language but a concurrent language where what happens inside a process is described by a simple functional language.

Behaviors in Erlang can be thought of as parameterizable higher-order parallel processes.

… the status of Erlang as a fully fledged member of the functional family is dubious. Erlang programs are not referentially transparent and there is no system for static type analysis of Erlang programs. Nor is it relational language. Sequential Erlang has a pure functional subset, but nobody can force the programmer to use this subset; indeed, there are often good reasons for not using it.

An Erlang system can be thought of as a communicating network of black boxes.

In the Erlang case, the language inside the black box just happens to be a small and rather easy to use functional language, which is more or less a historical accident caused by the implementation techniques used.

History and Usage

One thing that I was looking for in the paper was more details on how long Erlang had been around (besides before Java), how big the largest programs/systems were, and so forth. Here is what I found.

This history spans a twenty-year period…

(The history starts in 1986)

The largest ever system built in Erlang was the AXD301. At the time of writing, this system has 2.6 millions lines of Erlang code.

The AXD301 is written using distributed Erlang. It runs on a cluster using pairs of processors and is scalable up to 16 pairs of processors.

In the analysis of the AXD reported in [7], the AXD used 20 supervision trees, 122 client-server models, 36 event loggers and10 finite-state machines. All of this was programmed by a team of 60 programmers.

As regards reliability, the AXD301 has an observed nine-nines reliability [7]—and a four-fold increase in productivity was observed for the development process [31].

The AXD 301 is circa 1998.

Perhaps the most exciting modern development is Erlang for multicore CPUs. In August 2006 the OTP group released Erlang for an SMP.

This corroborates something that David Pollak told me at the RedMonk unconference during CommunityOne, namely that SMP support in Erlang had not been there very long. Of course, Erlang was running on systems with 16 physical (pairs, no less) of processings in a distributed environment. So while the runtime might not be that mature on SMP, the overall runtime for concurrency is probably a bit more mature than that. Nonetheless, worthwhile to know the precise facts.

All in all, I found the paper to be a very worthwhile read - (and a nice change from my usual intake of blog posts and tweets). One of my pet peeves about the computer business is the lack of awareness of the history of the field. At least I’ve removed a bit of my own ignorance as relates to Erlang.

The Scala vs Erlang whirlwind

Over the last week or two there’s been a bit of commotion with various parties in the blogosphere making the case for Scala against Erlang or for Erlang against Scala. Here’s a see spot run summary of the main writers and their positions / content:

Ted Neward (1, 2) - Ted (how confusing) is in the Scala camp, and thinks that the library approach of Scala’s actor library is preferable to Erlang’s VM (BEAM). He cites managability as a major concern. He also thinks that adapting a process style model into the JVM would be easier than adding SNMP monitoring to BEAM. The length of the Barcelona project bibliography suggests otherwise, but we’ll never know unless some brave soul goes and tries to do this. Fortunately, the JDK is open source now. One has to wonder whether such a change could make its way through the JCP, though. Unfortunately for Ted, I found that many of his arguments were weakened by his lack of knowledge about Erlang.

Steve Vinoski (1, 2, 3) - Steve’s articles are more about the reliability aspects of Erlang, and he’s mostly trying to correct Ted’s facts on Erlang. He thinks that Erlang had proven its reliability chops by running for years non-stop. Given the frequency with which Java app servers need to be (or are) bounced, this doesn’t seem that incredible to me.

Patrick Logan (1, 2, 3) - Patrick piled on after Steve and has spent most of his writing trying to correct/challenge Ted’s assertions about Erlang. Patrick thinks that the conventional (i.e. JVM and CLR) runtimes will have problems implementing an Erlang style shared-nothing model, since the pre-existing libraries for those runtimes are not engineered in a shared-nothing manner.

Barry Kelly was an observer of the Neward-Vinosk-Logan discussion, and added some commentary on the impact of VM primitives on things like lift. This is a point which resonates with me, because it seems to me that both languages and language runtimes will need some work to meet the challenges of large scale multicore computing.

Yariv Sadan has done a pile of stuff in Erlang, and supplied his own summary of the differences between Scala and Erlang. There is a very informative exchange between Yariv and lift author David Pollak in the comments of this one.

That’s the short rundown. This is a very interesting problem space — before I turned into database programming language guy in graduate school, I was angling to be a concurrent programming language guy. Along the way to that I got pretty good doses of functional and logic programming, as well as actor programming. That work was in the context of people planning to build (for the day) highly concurrent computers, on the order of 1000’s of processors. Today, multicore hardware is not quite up to that level, but it is approaching it pretty quickly. If there is any force in computing that is likely to precipitate the need for a new programming ecosystem (language, runtime, libraries), I think concurrent programming is it. I also think there is just not enough experience with this problem to have a real sense of what is really going to work. Cliff Click and Brian Goetz were right when they said that we just don’t have a good programming model for this stuff. Absent a model, I don’t know how we can think that we really understand what the runtime needs to deliver.

Erlang == CGI?

Jay Nelson, in the comments to Damien Katz’s Lisp as Blub:

The two relevant issues are system granularity and garbage collector behavior (if it is related to memory and garbage collection).

Erlang encourages an architecture of many small-granularity processes. To the extent that this approach is followed, failures are localized. It is possible to do this with other languages, but erlang does encourage the approach more so than other languages.

The other difference is that erlang uses a single-threaded garbage collector per process. This makes the garbage collection process simpler, more finely grained and distributed. Smaller processes mean less complicated memory structures, and thus the language encourages a simpler model with localized garbage collection failure. Determining the cause of overburdened memory usage (or any other resource because of the localized nature of small processes) becomes easier.

An erlang system can get wedged, but following the principle of many small processes makes it less likely to happen than in other languages which encourage large processes with shared memory structures.

It strikes me that this is a sort of CGI’ish view of the world (well except for the garbage collector). CGI scripts run, use (non-shared) resources, release them all and die. The entire post and comment thread is worth some pondering.

Python at CommunityOne

CommunityOne is a free and open developer conference that is run by Sun on the day before JavaOne. This year, there will a space at CommunityOne dedicated to the Python community, complete with whiteboards and wifi. If you are in the Bay Area for JavaOne, or in the Bay Area, or just plain interested in Python, please register for CommunityOne — space is limited.

Registering for CommunityOne gets you a bag of swag, a free lunch the day of CommunityOne, access to all the CommunityOne events and sessions, and a free pass for Day 1 of JavaOne. When you register, put “Python/Jython” in for the referral code.

I will be on a panel on community models during the general session from 9:30AM - 10:45AM, and Frank Wierzbicki and I will be doing a Python/Jython panel. In addition to the usual developer stuff, there will also be a two day Startup Camp, and the folks from RedMonk will be back to do their day long unconference thing.

Dynamic language jobs?!

Wondering who’s getting jobs working in a dynamic language? Wondering which language? Here are two takes on that question, one from SimplyHired, and one from Prescient. Clear as mud.

If you think my job is all about Jython, you are confused.

Apparently people are confused about what I am working on at Sun, and with PyCon starting tomorrow, this is not a good thing. I am not going to be working on Jython directly, although I will certainly be poking my nose in to see what’s going on. The Python related part of my job (which will be the majority in the short term) is to figure out what Sun should be doing in the Python space, across all of the relevant platforms at Sun, including but not limited to: the JVM and JEE, Netbeans, and Solaris.

Sun isn’t done in the dynamic language space, and I will also be looking for opportunities with other dynamic languages and related technologies.