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hiveã«é–¢ã™ã‚‹mi_kattunã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (6)

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Hadoop Pig ã®ä½¿ã„ã©ã“ã‚ - Tech-Sketch
ã€ŒPigã¨Hiveä½•ãŒé•ã†ã®ï¼Ÿã€ ã€ŒDifference between Pig and Hive? Why have both?(Pigã¨Hiveä½•ãŒé•ã†ã®ï¼Ÿ)ã€ ã¨ã„ã†è³ªå•ã‚’ã€å…ˆæ—¥ã€StackOverFlowã§è¦‹ã‹ã‘ã¾ã—ãŸã€‚æã‚‰ãHadoopã‚’è§¦ã‚‹ã¨ä¸€åº¦ã¯ç–‘å•ã«æ€ã†äº‹ã§ã¯ã§ã¯ãªã„ã§ã—ã‚‡ã†ã‹ã€‚ Pigã¨Hiveã¯ã€å…±ã«SQLãƒ©ã‚¤ã‚¯ãªè¨˜æ³•ã§MapReduceã‚’æ›¸ã‘ã‚‹DSLã§ã™ãŒã€åˆ©ç”¨è€…æ•°ã«ãŠã„ã¦ã¯Hiveã«è»é…ãŒä¸ŠãŒã£ã¦ã„ã‚‹ã‚ˆã†ã«ã¿ãˆã¾ã™ã€‚ ä¸€æ–¹ã§ã€ã€ŒPigã‚’ã‚‚ã£ã¨æ—©ãè©¦ã›ã°è‰¯ã‹ã£ãŸã€ã¨ã„ã†ãŠè©±ã‚’ä¼ºã†ã“ã¨ã‚‚ã‚ã‚Šã€æœ‰ç”¨ï¼ˆã‹ã‚‚ã—ã‚Œãªã„ï¼‰ãƒ„ãƒ¼ãƒ«ã§ã‚ã‚Œã°ã€æ£ã—ãç†è§£ã—ã¦ãŠã„ãŸæ–¹ãŒã‚ˆã•ãã†ã§ã™ã€‚ ã¨ã„ã†ã‚ã‘ã§ã€ã“ã“ã§ã¯Pigã®æ´»ç”¨ã‚’æŽ¢ã‚Šã¾ã™ã€‚ Pigã®æ€§èƒ½ PigãŒä»Šä¸€ã¤åˆ©ç”¨ã•ã‚Œã¦ã„ãªã„ã®ã¯ã€SQLã¨ã®è¦ªå’Œæ€§ã«åŠ ãˆã€æ€§èƒ½é¢ã§ã€ã€ŒJava MapReduceï¼žHiveï¼žPigã€ã¨ã„ã†å‚¾å‘ãŒã‚ã‚‹ã‹ã‚‰ã§
mi_kattun 2012/08/22
pig

hadoop

hive
ãƒªãƒ³ã‚¯
Hive WordCountã‚µãƒ³ãƒ—ãƒ«(Hishidama's Apache Hive WordCount Sample)
S-JIS[2011-08-09/2011-08-12] å¤‰æ›´å±¥æ´ Hiveã§WordCount Hiveã§WordCountã‚’ä½œã£ã¦ã¿ã‚‹ã€‚ å˜èªžæ•°ã‚’æ•°ãˆã‚‹å‡¦ç† Reduceå‡¦ç†ã«å½“ãŸã‚‹ã€å˜èªžæ•°ã‚’æ•°ãˆã‚‹éƒ¨åˆ†ã‚’å…ˆã«è€ƒãˆã‚‹ã€‚ ã¨ã„ã†ã®ã¯ã€Hiveã§ã¯counté–¢æ•°ãŒä½¿ãˆã‚‹ã®ã§ã€å˜èªžæ•°ã‚’æ•°ãˆã‚‹ã®ã¯ç°¡å˜ã ã‹ã‚‰ã€‚ ï¼ˆWindowsä¸Šã®Hiveã§è©¦ã—ã¦ã„ã‚‹ã®ã§ã€ãƒ•ã‚¡ã‚¤ãƒ«ã‚„ãƒ‡ã‚£ãƒ¬ã‚¯ãƒˆãƒªãƒ¼ã¯Windowsã®ãƒ‘ã‚¹è¡¨è¨˜ï¼‰ ï¼ˆå®Ÿè¡Œã«ã¯Cygwinã‚’ä½¿ç”¨ï¼‰ ãƒ†ã‚ã‚¹ãƒˆãƒ•ã‚¡ã‚¤ãƒ«ã«å˜èªžãƒ‡ãƒ¼ã‚¿ï¼ˆMapå‡¦ç†ã§åˆ†å‰²ã•ã‚ŒãŸã‚‚ã®ã‚’æƒ³å®šï¼‰ã‚’ç”¨æ„ã—ã€ãƒ†ãƒ¼ãƒ–ãƒ«ã«èªã¿è¾¼ã‚€ã€‚ C:/cygwin/tmp/words.txtï¼ˆå…¥åŠ›ãƒ‡ãƒ¼ã‚¿ï¼‰ï¼š Hello World Hello Hive hiveã®ã‚³ãƒžãƒ³ãƒ‰ï¼š --ãƒ†ãƒ¼ãƒ–ãƒ«ä½œæˆ create table words( word string ); --ãƒ‡ãƒ¼ã‚¿ã‚’ãƒãƒ¼ãƒ‰ load data loc
mi_kattun 2011/10/14
sentencesé–¢æ•°ã‚’ä½¿ã£ãŸã‚‰ç°¡å˜ã«åˆ†å‰²ã§ããŸã€‚ã‘ã©2é‡Arrayã«ãªã‚‹ã®ãŒé¢å€’

hadoop

hive
ãƒªãƒ³ã‚¯
Hive vs Pig for HadoopSourceCodeReading
The document provides information about Hive and Pig, two frameworks for analyzing large datasets using Hadoop. It compares Hive and Pig, noting that Hive uses a SQL-like language called HiveQL to manipulate data, while Pig uses Pig Latin scripts and operates on data flows. The document also includes code examples demonstrating how to use basic operations in Hive and Pig like loading data, perform
mi_kattun 2011/10/14
hadoop

pig

hive
ãƒªãƒ³ã‚¯
Pig and Hive at Yahoo! Â· Yahoo! Hadoop Blog
Yahoo! has begun evaluating Hive for use as part of its Hadoop stack. Since, in many peoples' minds, Hive and Pig are roughly equivalent and Pig Latin is very close to SQL, this has led to some confusion. Why are we interested in using both techno logies? As we have looked at our workloads and analyzed our use cases, we have come to the conclusion that the different use cases require different tool
mi_kattun 2011/09/14
pig

hive

hadoop

yahoo
ãƒªãƒ³ã‚¯
Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages Â« Dataspora
This weekâ€™s guest blogger is Datasporaâ€™s own Antonio Piccolboni. The originally post can be found on his personal blog. On a quest for an elegant and effective map reduce language, I went through a number of options and put together some considerations. And the winner is â€¦ In a couple of blog entries from my personal blog I described some map-reduce algorithms for statistical and graph probl ems an
mi_kattun 2011/09/14
hadoop

pig

hive
ãƒªãƒ³ã‚¯
Pig, Hiveãªã©8ç¨®é¡žã®MapReduceè¨€èªžã«ã¤ã„ã¦ã®æ¯”è¼ƒ - nokunoã®æ—¥è¨˜
ä»¥ä¸‹ã®è¨˜äº‹ã§ã¯Pig, Hiveãªã©8ç¨®é¡žã®è¨€èªžã§MapReduceã®ä¸€ç•ªå˜ç´”ãªä¾‹ã€WordCountã‚’è¨˜è¿°ã—ãŸå ´åˆã®ã‚¹ã‚¯ãƒªãƒ—ãƒˆã®æ¯”è¼ƒã‚’è¡Œã£ã¦ã„ã¾ã™ã€‚ã¨ã¦ã‚‚èˆˆå‘³æ·±ã‹ã£ãŸã®ã§ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚Pigs, Bees, and Elephants: A Comparison of Eight MapReduce Languages Â« Dataspora ãªãŠã€ä»Šå›žã¯RSSè³¼èªã—ã¦ã„ã‚‹DataSporaã®ãƒ–ãƒã‚°ã‹ã‚‰ç™ºè¦‹ã—ã¾ã—ãŸãŒã€ã‚¨ãƒ³ãƒˆãƒªã‚’å¯„ç¨¿ã—ãŸã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®å€‹äººãƒ–ãƒã‚°ã‚‚å¤§å¤‰èˆˆå‘³æ·±ã„ã®ã§ã‚ªã‚¹ã‚¹ãƒ¡ã§ã™ã€‚ ã¯ã˜ã‚ã«MapReduceã‚’ç¾Žã—ãåŠ¹çŽ‡çš„ã«æ›¸ããŸã‚ã«ã€ç§ã¯æ§˜ã€…ãªè¨€èªžã‚’æ¯”è¼ƒã—ã¾ã—ãŸã€‚æžœãŸã—ã¦ãã®å‹è€…ã¯ï¼ï¼Ÿç§ã®å€‹äººãƒ–ãƒã‚°ã§ã¯çµ±è¨ˆã‚„ã‚°ãƒ©ãƒ•ã®ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã‚’MapReduceã§è¨˜è¿°ã™ã‚‹æ–¹æ³•ã‚’ç´¹ä»‹ã—ã€æ“¬ä¼¼ã‚³ãƒ¼ãƒ‰ã«ã‚ˆã‚‹å®Ÿè£…ã‚’ç¤ºã—ã¾ã—ãŸã€‚æ“¬ä¼¼ã‚³ãƒ¼ãƒ‰ã«ã¯2ã¤ã®å•é¡Œç‚¹ãŒã‚ã‚Šã¾ã™ï¼šèª°ã‚‚ãŒãã®å‘½ä»¤ã‚’ç†è§£ã§ãã‚‹ã¨
mi_kattun 2011/09/14
hadoop

pig

hive
ãƒªãƒ³ã‚¯
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