HI Bhavesh Shah, I didn't know how to answer your query due to many reasons. But, look your problem in this way, instead of starting the multiple thrift servers and running a query on multiple thrift servers, it is good approach, but, if we do this, then my question is: "you want execute multiple queries parallel, then, How did you combine the out puts if you want to use the out put of one in another query (sub - queries)".
Also, just " starting many servers for a problem" due you is it is a good solution? Shah, my advice is, try to look for alternatives which can solve your problem and which can execute the queries paralley, for that, i can give is: ozzie framework. Look into it, it is good. Look at this simple hive query execution using the ozzie: http://stackoverflow.com/questions/10499526/simple-oozie-example-of-hive-query Kumar On Fri, May 11, 2012 at 5:23 PM, Bhavesh Shah <bhavesh25s...@gmail.com>wrote: > Hello all, > I am asking you about the increasing the performance of Hive. I tried with > mappers and reducers but I didn't see difference in execution. > Don't know why, may be I did in some other way which may be not correct or > due to some other reason. > > I am thinking that Is it possible to execute Hive queries parallelly? > Means, > Normally the queries get execute in queue manner. > query1 > query2 > query3 > . > . > . > n > > I am thinking that if we use mapreduce program in Hive JDBC program, then > is it possible to execute it parallelly. > Don't know will it work or not? Thats I am asking you about it. > But again my questions are: > 1) If it is possible then may be it require multiple Hive Thrift Server? > 2) Is it possible to open multiple Hive Thrift Server? > 3) I think it is not possible to open multiple Hive Thrift Server on same > port.? > 4) Can we open multiple Hive Thrift Server on different different port? > > Please suggest me some solution to this. If you have other idea other than > this then pls share with with me > I will also try that. > Thanks > > > -- > Regards, > Bhavesh Shah >
