Varaha is a boar and not a pig :) I agree with you on the point that Pig
and Pig Latin have not been clearly defined and most times they are used
From: Milind A Bhandarkar [mailto:[EMAIL PROTECTED]]
Sent: Friday, September 18, 2009 8:02 PM
To: [EMAIL PROTECTED]
Cc: [EMAIL PROTECTED]
Subject: Re: Revisit Pig Philosophy?
It's Friday evening, so I have some time to discuss philosophy ;-)
Before we discuss any question about revisiting pig philosophy, the
first question that needs to be answered is "what is pig" ? (this
corresponds to the Hindu philosophy's basic argument, that any deep
personal philosophical investigations need to start with a question
"koham?" (in Sanskrit, it means 'who am I?'))
So, coming back to approx 4000 years after the origin of that
philosophy, we need to ask "what is pig?" (incidentally, pig, or varaaha
in Sanskrit, was the second incarnation of lord Vishnu in hindu
scriptures, but that's not relevant here.)
What we need to decide is, is pig is a dataflow language ? I think not.
"Pig Latin" is the language. Pig is referred to in countless slide decks
( aka pig scriptures, btw I own 50% of these scriptures) as a runtime
system that interprets pig Latin, kind of like java and jvm. (Duality of
nature, called "dwaita" philosophy in sanskrit is applicable here. But I
won't go deeper than that.)
So, pig-Latin-the-language's stance could still be that it could be
implemented on any runtime. But pig the runtime's philosophy could be
that it is a thin layer on top of hadoop. And all the world could
breathe a sigh of relief. (mostly, by not having to answer these
So, 'koham' is the 4000 year old question this project needs to answer.
AUM...... (it's Friday.)
- (swami) Milind ;-)
On Sep 18, 2009, at 19:05, "Jeff Hammerbacher" <[EMAIL PROTECTED]>
>> 2. Local mode and other parallel frameworks
>> Pigs Live Anywhere
>> Pig is intended to be a language for parallel data processing. It is
>> not tied to one particular parallel framework. It has been
>> implemented first on hadoop, but we do not intend that to be only on
>> Are we still holding onto this? What about local mode? Local mode is
>> not being treated on equal footing with that of Hadoop for practical
>> reasons. However, users expect things that work on local mode to work
>> without any hitches on Hadoop.
>> Are we still designing the system assuming that Pig will be stacked
>> on top of other parallel frameworks?
> FWIW, I appreciate this philosophical stance from Pig. Allowing
> locally tested scripts to be migrated to the cluster without breakage
> is a noble goal, and keeping the option of (one day) developing an
> alternative execution environment for Pig that runs over HDFS but uses
> a richer physical set of operators than MapReduce would be great.
> Of course, those of you who are running Pig in production will have a
> much better sense of the feasibility, rather than desirability, of
> this philosophical stance.