tag:blogger.com,1999:blog-7994087232040033267.post7402865418627103302..comments2024-03-03T00:23:26.457-08:00Comments on Pragmatic Programming Techniques: Designing algorithms for Map ReduceRicky Hohttp://www.blogger.com/profile/03793674536997651667noreply@blogger.comBlogger8125tag:blogger.com,1999:blog-7994087232040033267.post-37133100569952352062014-09-03T19:41:45.283-07:002014-09-03T19:41:45.283-07:00Hi Ricky,
I encountered your blog as I was looking...Hi Ricky,<br />I encountered your blog as I was looking for similarities between a merge join in Pig and a map-side join in MapReduce. Side node: maps-de join do not have to fit in memory like you wrote in the page (just double-checked on the MapReduce Design Pattern book and the Hadoop Definitive Guide). Thanks,<br />Kerenkerenohttps://www.blogger.com/profile/00886181415265012985noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-42601411052718657122014-06-16T15:23:29.716-07:002014-06-16T15:23:29.716-07:00I have a scenario where I need to collocate mapper...I have a scenario where I need to collocate mapper and reducer in same node. Which is process the output of mapper in same node as mapper. Can you please help me to do that by giving some ideas? <br /><br />Thank you very much!Anonymoushttps://www.blogger.com/profile/03585464953254719395noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-25520919611590706302012-05-11T06:05:39.280-07:002012-05-11T06:05:39.280-07:00Thank you so much for explaining the different kin...Thank you so much for explaining the different kinds of joins possible in map reduce!Skandahttps://www.blogger.com/profile/06171801827778506266noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-34056519962648692032011-11-26T05:11:09.889-08:002011-11-26T05:11:09.889-08:00Even if I use identity function in map and reduce ...Even if I use identity function in map and reduce I dont see the values sorted while implementing sorting. Can you please help me. <br />My mail id: madhu_sushmi@yahoo.commadhu_sushmihttps://www.blogger.com/profile/10279011926447710422noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-44694532115846367322010-12-17T12:22:04.376-08:002010-12-17T12:22:04.376-08:00Hello Ricky, it is Wai Yip. Long time no see! This...Hello Ricky, it is Wai Yip. Long time no see! This is one of the most helpful document about map/reduce here. Just highlighting the baseline function as a distributed merge-sort engine make it lot more clear to see its possible range of applications. There is so many ideas in your blog you should think of consolidating them into a book!Wai Yip Tunghttp://tungwaiyip.info/noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-5254756340440087942010-12-01T17:11:32.760-08:002010-12-01T17:11:32.760-08:00Thanks for sharing the thought process. Love it!Thanks for sharing the thought process. Love it!Raymond Tayhttps://www.blogger.com/profile/12435190240911599928noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-31570922446387539112010-09-09T01:44:30.343-07:002010-09-09T01:44:30.343-07:00it worth to mention Apache Mahout project that is ...it worth to mention Apache Mahout project that is created to implement machine learning algorithms on top of HadoopAlex Otthttps://www.blogger.com/profile/13001951608173211050noreply@blogger.comtag:blogger.com,1999:blog-7994087232040033267.post-7622902101820879932010-09-06T06:46:37.853-07:002010-09-06T06:46:37.853-07:00"The map reduce model is originated from Goog..."The map reduce model is originated from Google" .. this is not entirely true. Map reduce is much older and comes from functional programming founded on mathematical principles such as category theory or lambda calculus.Anonymousnoreply@blogger.com