in general hive does not offer features it can not do well. Cross joins on any data set where one table is not very small do not scale in map reduce. So there is not a big win for offering syntax for it.
Not talking about pig but one very common unnamed map reduce framework offers Many features that do not paralize into map reduce. I find this framework a total 'tease'. On Saturday, March 17, 2012, buddhika chamith <chamibuddh...@gmail.com> wrote: > Hi, > > I think matt's solution is the way to go for now. If you need some basic understanding on how reduce and map side joins work see [1] whether if it helps you. > > Regards > Buddhika > > [1] http://chamibuddhika.wordpress.com/2012/02/26/joins-with-map-reduce/ > > On Sat, Mar 17, 2012 at 6:41 AM, Alan Gates <ga...@hortonworks.com> wrote: >> >> There are algorithms for doing general theta-joins in parallel. Search Google on "theta joins parallel database" and you will find some interesting references. I am not aware of any tools that implement these yet. You can also do it via a cross join followed by a filter, but again you need special algorithms to do a cross in MapReduce, which Hive doesn't implement yet. See http://ofps.oreilly.com/titles/9781449302641/advanced_pig_latin.html(search for the section on Cross) for a discussion of how to do cross in MapReduce. >> >> Alan. >> >> On Mar 13, 2012, at 10:13 AM, Tucker, Matt wrote: >> >> > For theta joins, you’ll have to convert the query to an equi-join, and then filter for non-equality in the WHERE clause. Depending upon the size of each table, you might consider looking at map-side joins, which will allow for doing non-equality filters during a join before it’s passed to the reducers. >> > >> > Matt Tucker >> > >> > From: mahsa mofidpoor [mailto:mofidp...@gmail.com] >> > Sent: Tuesday, March 13, 2012 1:02 PM >> > To: user@hive.apache.org >> > Subject: Re: non-equality joins >> > >> > >> > Hi Keith, >> > >> > Do you know exactly how an algorithm should be in order to fit in the MapReduce framework? Could you refer me to some references? >> > >> > Thanks and Regards, >> > Mahsa >> > >> > >> > >> > On Tue, Mar 13, 2012 at 12:49 PM, Keith Wiley <kwi...@keithwiley.com> wrote: >> > https://cwiki.apache.org/Hive/languagemanual-joins.html >> > >> > "Hive does not support join conditions that are not equality conditions as it is very difficult to express such conditions as a map/reduce job." >> > >> > I admit, that isn't a very detailed answer, but it gives some indication of the reason for the discrepancy between Hive and other databases. Hive fundamentally operates on Hadoop, namely on MapReduce (we all know this, I'm just reiterating the train of thought). The problem is that certain algorithms are exceedingly difficult to wedge into the MapReduce framework. >> > >> > That is as detailed as my personal insight can get. I've done a lot of MapReduce programming in Hadoop but I'm not a database expert and I don't really understand the steps involved in various kinds of table-joins, so I don't understand the particular ways in which certain database operations do or do not fit into MapReduce...but presumably nonequality joins (whatever those are :-D ) are particularly difficult to MapReduceify. >> > >> > Cheers! >> > >> > On Mar 13, 2012, at 09:17 , mahsa mofidpoor wrote: >> > >> > > Hello, >> > > >> > > Is there a reason behind not implementing non-equality joins in Hive? In other words, is there any usage for theta-join, if implemented? >> > > >> > > Thank you in advance for your response, >> > > Mahsa >> > >> > >> > ________________________________________________________________________________ >> > Keith Wiley kwi...@keithwiley.com keithwiley.com music.keithwiley.com >> > >> > "It's a fine line between meticulous and obsessive-compulsive and a slippery >> > rope between obsessive-compulsive and debilitatingly slow." >> > -- Keith Wiley >> > ________________________________________________________________________________ >> > >> > >> > >
