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harapon1012 id:harapon1012

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harapon1012 2013/04/15
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harapon1012 2013/04/09
ãƒŽãƒ¼ãƒãƒ©ã‚¹ãŒAWS+Hadoopã‹ãƒ¼ï¼Žã—ã‹ã—ï¼Œè¥¿é‰„ã‚¹ãƒˆã‚¢ã®æ±ºæ–åŠ›ã™ã”ã„ãªï¼Žãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ãŒã©ã†æ”¹å–„ã—ãŸã®ã‹ï¼Œç§»è¡Œå¾Œã®å£°ãŒèžããŸã„ãªãƒ¼

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harapon1012 2012/05/28
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16. map <- expression({ # }) reduce <- expression( pre = {}, reduce = {}, post = {} ) z <- rhmr(map=map, reduce=reduce, inout=c("text","sequence") ,ifolder=â€/tmp/inputâ€, ofolder=â€/tmp/outputâ€) rhex(z) results <- rhread(â€œ/tmp/outputâ€) 16 17. map <- expression({ library(openNLP) f <- table(tokenize(unlist(map.values), language = "en")) n <- names(f) p <- as.numeric(f) sapply(seq_along(n),function(r)
harapon1012 2011/11/14
R

hadoop
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RHadoop ã®ç´¹ä»‹
10. > small.ints = to.dfs(1:10) > out = mapreduce(input = small.ints, map = function(k,v) keyval(k, k^2)) > res = from.dfs(out) > colres <- do.call('rbind', lapply(res,"[[",2)) > t(colres) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [1,] 1 4 9 16 25 36 49 64 81 100 > groups = to.dfs(rbinom(32, n = 50, prob = 0.4)) > out = mapreduce(input = groups, reduce = function(k,vv) keyval(k, length(vv
harapon1012 2011/11/14
R

hadoop
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ref: http://portal.acm.org/citation.cfm?id=1582723å¤§è¦æ¨¡ã‚°ãƒ©ãƒ•å‡¦ç†ãƒ•ãƒ¬ãƒ¼ãƒ ãƒ¯ãƒ¼ã‚¯ Pregel ã®è«–æ–‡ã‚’èªã¿, BSP (Bulk Synchronous Parallel) ãƒ¢ãƒ‡ãƒ«ã§å®Ÿè£…ã—ãŸã„ã‚°ãƒ©ãƒ•ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãŒã„ãã¤ã‹ã‚ã£ãŸã®ã§ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹å®Ÿè£…ã‚’æŽ¢ã—ã¦ã¿ãŸ. GoldenOrb, Phoebus, HAMA (æ±Žç”¨çš„ãªBSP model), ãã—ã¦ Bagel ãªã©ã„ãã¤ã‹ã®å®Ÿè£…ãŒã‚ã‚‹ã‚ˆã†ã§, GoldenOrb ã¯ Java, Phoebus ã¯ Erlang ã§å®Ÿè£…ã•ã‚Œã¦ãŠã‚Š, Bagel ã¯ Scala ã§æ›¸ã‹ã‚Œã¦ã„ã‚‹. Bagel ã¯ Spark ä¸Šã§å‹•ãã‚·ãƒ³ãƒ—ãƒ«ãªå®Ÿè£… (ãŸã£ãŸã® 150 è¡Œç¨‹åº¦) ã§, å¤§è¦æ¨¡ãªã‚¿ã‚¹ã‚¯ã«å¯¾ã—ã¦ã‚‚ã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹é‹ç”¨ãŒå¯èƒ½ã«æ€ãˆãŸã®ã§ Bagel ã‚’ä½¿ã£ã¦ã¿ã‚‹ã“ã¨ã«ã—ãŸ. (Phoebus ã¯
harapon1012 2011/11/13
ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ

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Hadoopã®ç•°ç«¯ã•ãŒé¢ç™½ã„ - wyukawa's diary
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harapon1012 2011/11/13
Hadoop
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harapon1012 2011/11/13
Hadoop
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harapon1012 2011/11/13
Hadoop

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