{"id":475880,"date":"2023-08-09T07:24:43","date_gmt":"2023-08-09T07:24:43","guid":{"rendered":""},"modified":"2023-09-05T11:11:30","modified_gmt":"2023-09-05T11:11:30","slug":"apache-spark","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/kr\/wiki\/apache-spark\/","title":{"rendered":"\uc544\ud30c\uce58 \uc2a4\ud30c\ud06c"},"content":{"rendered":"<p>Apache Spark\ub294 \ube45\ub370\uc774\ud130 \ucc98\ub9ac \ubc0f \ubd84\uc11d\uc744 \uc704\ud574 \uc124\uacc4\ub41c \uc624\ud508 \uc18c\uc2a4 \ubd84\uc0b0 \ucef4\ud4e8\ud305 \uc2dc\uc2a4\ud15c\uc785\ub2c8\ub2e4. \ucc98\uc74c\uc5d0\ub294 2009\ub144 \uce98\ub9ac\ud3ec\ub2c8\uc544 \ub300\ud559\uad50 \ubc84\ud074\ub9ac \ucea0\ud37c\uc2a4\uc758 AMPLab\uc5d0\uc11c \uac1c\ubc1c\ub418\uc5c8\uc73c\uba70 \ub098\uc911\uc5d0 Apache Software Foundation\uc5d0 \uae30\ubd80\ub418\uc5b4 2010\ub144\uc5d0 Apache \ud504\ub85c\uc81d\ud2b8\uac00 \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc774\ud6c4 Apache Spark\ub294 \ub2e4\uc74c\uacfc \uac19\uc740 \uc7a5\uc810\uc73c\ub85c \uc778\ud574 \ube45 \ub370\uc774\ud130 \ucee4\ubba4\ub2c8\ud2f0\uc5d0\uc11c \uad11\ubc94\uc704\ud55c \uc778\uae30\ub97c \uc5bb\uc5c8\uc2b5\ub2c8\ub2e4. \uc18d\ub3c4, \uc0ac\uc6a9 \ud3b8\uc758\uc131 \ubc0f \ub2e4\uc591\uc131.<\/p>\n<h2>Apache Spark\uc758 \uc720\ub798\uc640 \ucd5c\ucd08 \uc5b8\uae09\uc758 \uc5ed\uc0ac<\/h2>\n<p>Apache Spark\ub294 \uac1c\ubc1c\uc790\ub4e4\uc774 Hadoop MapReduce\uc758 \uc131\ub2a5\uacfc \uc0ac\uc6a9 \ud3b8\uc758\uc131\uc5d0 \ud55c\uacc4\uc5d0 \uc9c1\uba74\ud588\ub358 AMPLab\uc758 \uc5f0\uad6c \ub178\ub825\uc744 \ud1b5\ud574 \ud0c4\uc0dd\ud588\uc2b5\ub2c8\ub2e4. Apache Spark\uc5d0 \ub300\ud55c \uccab \ubc88\uc9f8 \uc5b8\uae09\uc740 Matei Zaharia \ub4f1\uc774 2012\ub144\uc5d0 \ubc1c\ud45c\ud55c \u201cResilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing\u201d\uc774\ub77c\ub294 \uc81c\ubaa9\uc758 \uc5f0\uad6c \ub17c\ubb38\uc5d0\uc11c \ub098\uc654\uc2b5\ub2c8\ub2e4. \uc774 \ub17c\ubb38\uc5d0\uc11c\ub294 RDD(Resilient Distributed Datasets)\uc758 \uac1c\ub150\uc744 \uc18c\uac1c\ud588\uc2b5\ub2c8\ub2e4. ), Spark\uc758 \uae30\ubcf8 \ub370\uc774\ud130 \uad6c\uc870\uc785\ub2c8\ub2e4.<\/p>\n<h2>Apache Spark\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \uc815\ubcf4: \uc8fc\uc81c \ud655\uc7a5<\/h2>\n<p>Apache Spark\ub294 \ub300\uaddc\ubaa8 \ub370\uc774\ud130\ub97c \ucc98\ub9ac\ud558\ub294 \ud6a8\uc728\uc801\uc774\uace0 \uc720\uc5f0\ud55c \ubc29\ubc95\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. Hadoop MapReduce\uc640 \uac19\uc740 \uae30\uc874 \ub514\uc2a4\ud06c \uae30\ubc18 \ucc98\ub9ac \uc2dc\uc2a4\ud15c\uc5d0 \ube44\ud574 \ub370\uc774\ud130 \ucc98\ub9ac \uc791\uc5c5\uc744 \ud06c\uac8c \uac00\uc18d\ud654\ud558\ub294 \uc778\uba54\ubaa8\ub9ac \ucc98\ub9ac \uae30\ub2a5\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4. Spark\ub97c \uc0ac\uc6a9\ud558\uba74 \uac1c\ubc1c\uc790\ub294 Scala, Java, Python, R\uc744 \ube44\ub86f\ud55c \ub2e4\uc591\ud55c \uc5b8\uc5b4\ub85c \ub370\uc774\ud130 \ucc98\ub9ac \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \uc791\uc131\ud558\uc5ec \ub354 \ub9ce\uc740 \uc0ac\uc6a9\uc790\uac00 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>Apache Spark\uc758 \ub0b4\ubd80 \uad6c\uc870: Apache Spark \uc791\ub3d9 \ubc29\uc2dd<\/h2>\n<p>Apache Spark\uc758 \ud575\uc2ec\uc5d0\ub294 \ubcd1\ub82c\ub85c \ucc98\ub9ac\ud560 \uc218 \uc788\ub294 \ubd88\ubcc0\uc758 \ubd84\uc0b0 \uac1c\uccb4 \uceec\ub809\uc158\uc778 RDD(Resilient Distributed Dataset)\uac00 \uc788\uc2b5\ub2c8\ub2e4. RDD\ub294 \ub0b4\uacb0\ud568\uc131\uc774 \uc788\uc73c\ubbc0\ub85c \ub178\ub4dc \uc624\ub958\uac00 \ubc1c\uc0dd\ud560 \uacbd\uc6b0 \uc190\uc2e4\ub41c \ub370\uc774\ud130\ub97c \ubcf5\uad6c\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Spark\uc758 DAG(\ubc29\ud5a5\uc131 \ube44\uc21c\ud658 \uadf8\ub798\ud504) \uc5d4\uc9c4\uc740 \ucd5c\ub300 \uc131\ub2a5\uc744 \ub2ec\uc131\ud558\uae30 \uc704\ud574 RDD \uc791\uc5c5\uc744 \ucd5c\uc801\ud654\ud558\uace0 \uc608\uc57d\ud569\ub2c8\ub2e4.<\/p>\n<p>Spark \uc0dd\ud0dc\uacc4\ub294 \uc5ec\ub7ec \uac00\uc9c0 \uc0c1\uc704 \uc218\uc900 \uad6c\uc131 \uc694\uc18c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n<ol>\n<li>Spark Core: \uae30\ubcf8 \uae30\ub2a5\uacfc RDD \ucd94\uc0c1\ud654\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n<li>Spark SQL: \uad6c\uc870\ud654\ub41c \ub370\uc774\ud130 \ucc98\ub9ac\ub97c \uc704\ud574 SQL\uacfc \uc720\uc0ac\ud55c \ucffc\ub9ac\ub97c \ud65c\uc131\ud654\ud569\ub2c8\ub2e4.<\/li>\n<li>Spark Streaming: \uc2e4\uc2dc\uac04 \ub370\uc774\ud130 \ucc98\ub9ac\ub97c \ud65c\uc131\ud654\ud569\ub2c8\ub2e4.<\/li>\n<li>MLlib(\uae30\uacc4 \ud559\uc2b5 \ub77c\uc774\ube0c\ub7ec\ub9ac): \uad11\ubc94\uc704\ud55c \uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/li>\n<li>GraphX: \uadf8\ub798\ud504 \ucc98\ub9ac \ubc0f \ubd84\uc11d\uc744 \ud5c8\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>Apache Spark\uc758 \uc8fc\uc694 \uae30\ub2a5 \ubd84\uc11d<\/h2>\n<p>Apache Spark\uc758 \uc8fc\uc694 \uae30\ub2a5\uc740 \ube45 \ub370\uc774\ud130 \ucc98\ub9ac \ubc0f \ubd84\uc11d\uc5d0 \ub110\ub9ac \uc0ac\uc6a9\ub418\ub294 \uc120\ud0dd\uc785\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\uc778\uba54\ubaa8\ub9ac \ucc98\ub9ac: \ub370\uc774\ud130\ub97c \uba54\ubaa8\ub9ac\uc5d0 \uc800\uc7a5\ud558\ub294 Spark\uc758 \uae30\ub2a5\uc740 \uc131\ub2a5\uc744 \ud06c\uac8c \ud5a5\uc0c1\uc2dc\ucf1c \ubc18\ubcf5\uc801\uc778 \ub514\uc2a4\ud06c \uc77d\uae30\/\uc4f0\uae30 \uc791\uc5c5\uc758 \ud544\uc694\uc131\uc744 \uc904\uc5ec\uc90d\ub2c8\ub2e4.<\/li>\n<li>\ub0b4\uacb0\ud568\uc131: RDD\ub294 \ub0b4\uacb0\ud568\uc131\uc744 \uc81c\uacf5\ud558\uc5ec \ub178\ub4dc \uc624\ub958\uac00 \ubc1c\uc0dd\ud558\ub294 \uacbd\uc6b0\uc5d0\ub3c4 \ub370\uc774\ud130 \uc77c\uad00\uc131\uc744 \ubcf4\uc7a5\ud569\ub2c8\ub2e4.<\/li>\n<li>\uc0ac\uc6a9 \uc6a9\uc774\uc131: Spark\uc758 API\ub294 \uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc774\uba70 \uc5ec\ub7ec \ud504\ub85c\uadf8\ub798\ubc0d \uc5b8\uc5b4\ub97c \uc9c0\uc6d0\ud558\uace0 \uac1c\ubc1c \ud504\ub85c\uc138\uc2a4\ub97c \ub2e8\uc21c\ud654\ud569\ub2c8\ub2e4.<\/li>\n<li>\ub2e4\uc6a9\uc131: Spark\ub294 \uc77c\uad04 \ucc98\ub9ac, \uc2a4\ud2b8\ub9bc \ucc98\ub9ac, \uae30\uacc4 \ud559\uc2b5 \ubc0f \uadf8\ub798\ud504 \ucc98\ub9ac\ub97c \uc704\ud55c \uad11\ubc94\uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc81c\uacf5\ud558\ubbc0\ub85c \ub2e4\uc6a9\ub3c4 \ud50c\ub7ab\ud3fc\uc774 \ub429\ub2c8\ub2e4.<\/li>\n<li>\uc18d\ub3c4: Spark\uc758 \uba54\ubaa8\ub9ac \ub0b4 \ucc98\ub9ac \ubc0f \ucd5c\uc801\ud654\ub41c \uc2e4\ud589 \uc5d4\uc9c4\uc740 \ub6f0\uc5b4\ub09c \uc18d\ub3c4\uc5d0 \uae30\uc5ec\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\uc544\ud30c\uce58 \uc2a4\ud30c\ud06c\uc758 \uc720\ud615<\/h2>\n<p>Apache Spark\ub294 \uc0ac\uc6a9\ubc95\uacfc \uae30\ub2a5\uc5d0 \ub530\ub77c \ub2e4\uc591\ud55c \uc720\ud615\uc73c\ub85c \ubd84\ub958\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<table>\n<thead>\n<tr>\n<th>\uc720\ud615<\/th>\n<th>\uc124\uba85<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\uc77c\uad04 \ucc98\ub9ac<\/td>\n<td>\ub300\uc6a9\ub7c9 \ub370\uc774\ud130\ub97c \ud55c\ubc88\uc5d0 \ubd84\uc11d\ud558\uace0 \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uc2a4\ud2b8\ub9bc \ucc98\ub9ac<\/td>\n<td>\ub370\uc774\ud130 \uc2a4\ud2b8\ub9bc\uc774 \ub3c4\ucc29\ud558\ub294 \ub300\ub85c \uc2e4\uc2dc\uac04 \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uae30\uacc4 \ud559\uc2b5<\/td>\n<td>\uae30\uacc4 \ud559\uc2b5 \uc54c\uace0\ub9ac\uc998 \uad6c\ud604\uc744 \uc704\ud574 Spark\uc758 MLlib\ub97c \ud65c\uc6a9\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<tr>\n<td>\uadf8\ub798\ud504 \ucc98\ub9ac<\/td>\n<td>\uadf8\ub798\ud504\uc640 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870\ub97c \ubd84\uc11d\ud558\uace0 \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Apache Spark \uc0ac\uc6a9 \ubc29\ubc95: \uc0ac\uc6a9 \uad00\ub828 \ubb38\uc81c \ubc0f \ud574\uacb0 \ubc29\ubc95<\/h2>\n<p>Apache Spark\ub294 \ub370\uc774\ud130 \ubd84\uc11d, \uae30\uacc4 \ud559\uc2b5, \ucd94\ucc9c \uc2dc\uc2a4\ud15c, \uc2e4\uc2dc\uac04 \uc774\ubca4\ud2b8 \ucc98\ub9ac \ub4f1 \ub2e4\uc591\ud55c \ub3c4\uba54\uc778\uc5d0\uc11c \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc744 \ucc3e\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 Apache Spark\ub97c \uc0ac\uc6a9\ud558\ub294 \ub3d9\uc548 \uba87 \uac00\uc9c0 \uc77c\ubc18\uc801\uc778 \ubb38\uc81c\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li>\n<p><strong>\uba54\ubaa8\ub9ac \uad00\ub9ac<\/strong>: Spark\ub294 \uc778\uba54\ubaa8\ub9ac \ucc98\ub9ac\uc5d0 \ud06c\uac8c \uc758\uc874\ud558\uae30 \ub54c\ubb38\uc5d0 \uba54\ubaa8\ub9ac \ubd80\uc871 \uc624\ub958\ub97c \ubc29\uc9c0\ud558\ub824\uba74 \ud6a8\uc728\uc801\uc778 \uba54\ubaa8\ub9ac \uad00\ub9ac\uac00 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ud574\uacb0 \ubc29\ubc95: \ub370\uc774\ud130 \uc800\uc7a5\uc18c\ub97c \ucd5c\uc801\ud654\ud558\uace0, \uce90\uc2f1\uc744 \uc2e0\uc911\ud558\uac8c \uc0ac\uc6a9\ud558\uace0, \uba54\ubaa8\ub9ac \uc0ac\uc6a9\ub7c9\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\ub370\uc774\ud130 \uc65c\uace1<\/strong>: \ud30c\ud2f0\uc158 \uc804\uccb4\uc5d0 \ub370\uc774\ud130\uac00 \uace0\ub974\uc9c0 \uc54a\uac8c \ubd84\uc0b0\ub418\uba74 \uc131\ub2a5 \ubcd1\ubaa9 \ud604\uc0c1\uc774 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ud574\uacb0 \ubc29\ubc95: \ub370\uc774\ud130 \uc7ac\ud30c\ud2f0\uc154\ub2dd \uae30\uc220\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\ub97c \uade0\ub4f1\ud558\uac8c \ubc30\ud3ec\ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\ud074\ub7ec\uc2a4\ud130 \ud06c\uae30 \uc870\uc815<\/strong>: \ud074\ub7ec\uc2a4\ud130 \ud06c\uae30\uac00 \uc798\ubabb\ub418\uba74 \ub9ac\uc18c\uc2a4 \ud65c\uc6a9\ub3c4\uac00 \ub0ae\uc544\uc9c0\uac70\ub098 \uacfc\ubd80\ud558\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ud574\uacb0 \ubc29\ubc95: \uc815\uae30\uc801\uc73c\ub85c \ud074\ub7ec\uc2a4\ud130 \uc131\ub2a5\uc744 \ubaa8\ub2c8\ud130\ub9c1\ud558\uace0 \uc774\uc5d0 \ub530\ub77c \ub9ac\uc18c\uc2a4\ub97c \uc870\uc815\ud558\uc2ed\uc2dc\uc624.<\/li>\n<\/ul>\n<\/li>\n<li>\n<p><strong>\ub370\uc774\ud130 \uc9c1\ub82c\ud654<\/strong>: \ube44\ud6a8\uc728\uc801\uc778 \ub370\uc774\ud130 \uc9c1\ub82c\ud654\ub294 \ub370\uc774\ud130 \uc804\uc1a1 \uc911 \uc131\ub2a5\uc5d0 \uc601\ud5a5\uc744 \ubbf8\uce60 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<ul>\n<li>\ud574\uacb0\ucc45: \uc801\uc808\ud55c \uc9c1\ub82c\ud654 \ud615\uc2dd\uc744 \uc120\ud0dd\ud558\uace0 \ud544\uc694\ud560 \ub54c \ub370\uc774\ud130\ub97c \uc555\ucd95\ud558\uc2ed\uc2dc\uc624.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h2>\uc8fc\uc694 \ud2b9\uc9d5 \ubc0f \uae30\ud0c0 \uc720\uc0ac \uc6a9\uc5b4\uc640\uc758 \ube44\uad50<\/h2>\n<table>\n<thead>\n<tr>\n<th>\ud2b9\uc131<\/th>\n<th>\uc544\ud30c\uce58 \uc2a4\ud30c\ud06c<\/th>\n<th>Hadoop \ub9f5\ub9ac\ub4c0\uc2a4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\ud504\ub85c\uc138\uc2f1 \ud328\ub7ec\ub2e4\uc784<\/td>\n<td>\uc778\uba54\ubaa8\ub9ac \ubc0f \ubc18\ubcf5 \ucc98\ub9ac<\/td>\n<td>\ub514\uc2a4\ud06c \uae30\ubc18 \uc77c\uad04 \ucc98\ub9ac<\/td>\n<\/tr>\n<tr>\n<td>\ub370\uc774\ud130 \ucc98\ub9ac<\/td>\n<td>\uc77c\uad04 \ucc98\ub9ac \ubc0f \uc2e4\uc2dc\uac04 \ucc98\ub9ac<\/td>\n<td>\uc77c\uad04 \ucc98\ub9ac\ub9cc \uac00\ub2a5<\/td>\n<\/tr>\n<tr>\n<td>\uacb0\ud568 \ud5c8\uc6a9<\/td>\n<td>\uc608(RDD\ub97c \ud1b5\ud574)<\/td>\n<td>\uc608(\ubcf5\uc81c\ub97c \ud1b5\ud574)<\/td>\n<\/tr>\n<tr>\n<td>\ub370\uc774\ud130 \uc800\uc7a5\uace0<\/td>\n<td>\uc778\uba54\ubaa8\ub9ac \ubc0f \ub514\uc2a4\ud06c \uae30\ubc18<\/td>\n<td>\ub514\uc2a4\ud06c \uae30\ubc18<\/td>\n<\/tr>\n<tr>\n<td>\uc0dd\ud0dc\uacc4<\/td>\n<td>\ub2e4\uc591\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac \uc138\ud2b8(Spark SQL, Spark Streaming, MLlib, GraphX \ub4f1)<\/td>\n<td>\uc81c\ud55c\ub41c \uc0dd\ud0dc\uacc4<\/td>\n<\/tr>\n<tr>\n<td>\uc131\ub2a5<\/td>\n<td>\uc778\uba54\ubaa8\ub9ac \ucc98\ub9ac\ub85c \uc778\ud574 \ub354 \ube68\ub77c\uc9d0<\/td>\n<td>\ub514\uc2a4\ud06c \uc77d\uae30\/\uc4f0\uae30\ub85c \uc778\ud574 \uc18d\ub3c4\uac00 \ub290\ub824\uc9d0<\/td>\n<\/tr>\n<tr>\n<td>\uc0ac\uc6a9\uc758 \uc6a9\uc774\uc131<\/td>\n<td>\uc0ac\uc6a9\uc790 \uce5c\ud654\uc801\uc778 API \ubc0f \ub2e4\uad6d\uc5b4 \uc9c0\uc6d0<\/td>\n<td>\uac00\ud30c\ub978 \ud559\uc2b5 \uace1\uc120 \ubc0f Java \uae30\ubc18<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Apache Spark\uc640 \uad00\ub828\ub41c \ubbf8\ub798\uc758 \uad00\uc810\uacfc \uae30\uc220<\/h2>\n<p>\ube45\ub370\uc774\ud130\uac00 \uacc4\uc18d\ud574\uc11c \ub2e4\uc591\ud55c \uc0b0\uc5c5\uc758 \uc911\uc694\ud55c \uce21\uba74\uc774 \ub418\uba74\uc11c Apache Spark\uc758 \ubbf8\ub798\ub294 \uc720\ub9dd\ud574 \ubcf4\uc785\ub2c8\ub2e4. Apache Spark\uc758 \ubbf8\ub798\uc640 \uad00\ub828\ub41c \uba87 \uac00\uc9c0 \uc8fc\uc694 \uad00\uc810 \ubc0f \uae30\uc220\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li><strong>\ucd5c\uc801\ud654<\/strong>: Spark\uc758 \uc131\ub2a5\uacfc \ub9ac\uc18c\uc2a4 \ud65c\uc6a9\ub3c4\ub97c \ud5a5\uc0c1\uc2dc\ud0a4\uae30 \uc704\ud55c \uc9c0\uc18d\uc801\uc778 \ub178\ub825\uc73c\ub85c \uc778\ud574 \ucc98\ub9ac \uc18d\ub3c4\uac00 \ub354\uc6b1 \ube68\ub77c\uc9c0\uace0 \uba54\ubaa8\ub9ac \uc624\ubc84\ud5e4\ub4dc\uac00 \uc904\uc5b4\ub4e4 \uac83\uc73c\ub85c \uc608\uc0c1\ub429\ub2c8\ub2e4.<\/li>\n<li><strong>AI\uc640\uc758 \ud1b5\ud569<\/strong>: Apache Spark\ub294 \uc778\uacf5 \uc9c0\ub2a5 \ubc0f \uae30\uacc4 \ud559\uc2b5 \ud504\ub808\uc784\uc6cc\ud06c\uc640 \ub354\uc6b1 \uae34\ubc00\ud558\uac8c \ud1b5\ud569\ub418\uc5b4 AI \uae30\ubc18 \uc560\ud50c\ub9ac\ucf00\uc774\uc158\uc5d0 \uc801\ud569\ud55c \uc120\ud0dd\uc774 \ub420 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc2e4\uc2dc\uac04 \ubd84\uc11d<\/strong>: Spark\uc758 \uc2a4\ud2b8\ub9ac\ubc0d \uae30\ub2a5\uc740 \ub354\uc6b1 \ubc1c\uc804\ud558\uc5ec \uc989\uac01\uc801\uc778 \ud1b5\ucc30\ub825\uacfc \uc758\uc0ac\uacb0\uc815\uc744 \uc704\ud55c \ubcf4\ub2e4 \uc6d0\ud65c\ud55c \uc2e4\uc2dc\uac04 \ubd84\uc11d\uc744 \uac00\ub2a5\ud558\uac8c \ud560 \uac83\uc785\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\ud504\ub85d\uc2dc \uc11c\ubc84\ub97c Apache Spark\uc640 \uc0ac\uc6a9\ud558\uac70\ub098 \uc5f0\uacb0\ud558\ub294 \ubc29\ubc95<\/h2>\n<p>\ud504\ub85d\uc2dc \uc11c\ubc84\ub294 Apache Spark \ubc30\ud3ec\uc758 \ubcf4\uc548\uacfc \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0a4\ub294 \ub370 \uc911\uc694\ud55c \uc5ed\ud560\uc744 \ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \ud504\ub85d\uc2dc \uc11c\ubc84\ub97c \uc0ac\uc6a9\ud558\uac70\ub098 Apache Spark\uc640 \uc5f0\uacb0\ud560 \uc218 \uc788\ub294 \uba87 \uac00\uc9c0 \ubc29\ubc95\uc740 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4.<\/p>\n<ol>\n<li><strong>\ub85c\ub4dc \ubc38\ub7f0\uc2f1<\/strong>: \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \ub4e4\uc5b4\uc624\ub294 \uc694\uccad\uc744 \uc5ec\ub7ec Spark \ub178\ub4dc\uc5d0 \ubd84\uc0b0\ud558\uc5ec \ub9ac\uc18c\uc2a4 \ud65c\uc6a9\ub3c4\ub97c \ub192\uc774\uace0 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ubcf4\uc548<\/strong>: \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uc0ac\uc6a9\uc790\uc640 Spark \ud074\ub7ec\uc2a4\ud130 \uc0ac\uc774\uc758 \uc911\uac1c\uc790 \uc5ed\ud560\uc744 \ud558\uc5ec \ucd94\uac00 \ubcf4\uc548 \uacc4\uce35\uc744 \uc81c\uacf5\ud558\uace0 \uc7a0\uc7ac\uc801\uc778 \uacf5\uaca9\uc73c\ub85c\ubd80\ud130 \ubcf4\ud638\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/li>\n<li><strong>\uce90\uc2f1<\/strong>: \ud504\ub85d\uc2dc \uc11c\ubc84\ub294 \uc790\uc8fc \uc694\uccad\ub418\ub294 \ub370\uc774\ud130\ub97c \uce90\uc2dc\ud558\uc5ec Spark \ud074\ub7ec\uc2a4\ud130\uc758 \ub85c\ub4dc\ub97c \uc904\uc774\uace0 \uc751\ub2f5 \uc2dc\uac04\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>\uad00\ub828\ub41c \ub9c1\ud06c\ub4e4<\/h2>\n<p>Apache Spark\uc5d0 \ub300\ud55c \uc790\uc138\ud55c \ub0b4\uc6a9\uc744 \ubcf4\ub824\uba74 \ub2e4\uc74c \ub9ac\uc18c\uc2a4\ub97c \uc0b4\ud3b4\ubcf4\uc138\uc694.<\/p>\n<ol>\n<li><a href=\"https:\/\/spark.apache.org\/\" target=\"_new\" rel=\"noopener nofollow\">\uc544\ud30c\uce58 \uc2a4\ud30c\ud06c \uacf5\uc2dd \uc6f9\uc0ac\uc774\ud2b8<\/a><\/li>\n<li><a href=\"https:\/\/spark.apache.org\/documentation.html\" target=\"_new\" rel=\"noopener nofollow\">\uc544\ud30c\uce58 \uc2a4\ud30c\ud06c \ubb38\uc11c<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/apache\/spark\" target=\"_new\" rel=\"noopener nofollow\">Apache Spark GitHub \ub9ac\ud3ec\uc9c0\ud1a0\ub9ac<\/a><\/li>\n<li><a href=\"https:\/\/databricks.com\/spark\/about\" target=\"_new\" rel=\"noopener nofollow\">\ub370\uc774\ud130\ube0c\ub9ad\uc2a4 - \uc544\ud30c\uce58 \uc2a4\ud30c\ud06c<\/a><\/li>\n<\/ol>\n<p>Apache Spark\ub294 \ube45 \ub370\uc774\ud130 \ud658\uacbd\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ubc1c\uc804\uc2dc\ud0a4\uace0 \ud601\uc2e0\ud558\uc5ec \uc870\uc9c1\uc774 \ub370\uc774\ud130\uc5d0\uc11c \uadc0\uc911\ud55c \ud1b5\ucc30\ub825\uc744 \ube60\ub974\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \uc5bb\uc744 \uc218 \uc788\ub3c4\ub85d \uc9c0\uc6d0\ud569\ub2c8\ub2e4. \ub370\uc774\ud130 \uacfc\ud559\uc790, \uc5d4\uc9c0\ub2c8\uc5b4, \ube44\uc988\ub2c8\uc2a4 \ubd84\uc11d\uac00 \ub4f1 \ub204\uad6c\uc5d0\uac8c\ub098 Apache Spark\ub294 \ube45 \ub370\uc774\ud130 \ucc98\ub9ac \ubc0f \ubd84\uc11d\uc744 \uc704\ud55c \uac15\ub825\ud558\uace0 \uc720\uc5f0\ud55c \ud50c\ub7ab\ud3fc\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/p>","protected":false},"featured_media":467620,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475880","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Apache Spark: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Apache Spark?","answer":"<p>Apache Spark is an open-source distributed computing system designed for big data processing and analytics. It provides fast in-memory processing, fault tolerance, and supports multiple programming languages for data processing applications.<\/p>"},{"question":"How did Apache Spark originate?","answer":"<p>Apache Spark originated from research efforts at the AMPLab, University of California, Berkeley, and was first mentioned in a research paper titled \"Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing\" in 2012.<\/p>"},{"question":"What is the internal structure of Apache Spark?","answer":"<p>At the core of Apache Spark is the concept of Resilient Distributed Datasets (RDDs), which are immutable distributed collections of objects processed in parallel. Spark's ecosystem includes Spark Core, Spark SQL, Spark Streaming, MLlib, and GraphX.<\/p>"},{"question":"What are the key features of Apache Spark?","answer":"<p>The key features of Apache Spark include in-memory processing, fault tolerance, ease of use with various APIs, versatility with multiple libraries, and superior processing speed.<\/p>"},{"question":"What are the types of Apache Spark?","answer":"<p>Apache Spark can be categorized into batch processing, stream processing, machine learning, and graph processing.<\/p>"},{"question":"What are the ways to use Apache Spark?","answer":"<p>Apache Spark finds applications in data analytics, machine learning, recommendation systems, and real-time event processing. Some common challenges include memory management, data skew, and cluster sizing.<\/p>"},{"question":"How does Apache Spark compare to Hadoop MapReduce?","answer":"<p>Apache Spark excels in in-memory and iterative processing, supports real-time analytics, offers a more diverse ecosystem, and is user-friendly compared to Hadoop MapReduce's disk-based batch processing and limited ecosystem.<\/p>"},{"question":"What are the future perspectives for Apache Spark?","answer":"<p>The future of Apache Spark looks promising with ongoing optimizations, deeper integration with AI, and advancements in real-time analytics.<\/p>"},{"question":"How can proxy servers be associated with Apache Spark?","answer":"<p>Proxy servers can enhance Apache Spark's security and performance by providing load balancing, caching, and acting as intermediaries between users and Spark clusters.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/475880","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/wiki\/475880\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media\/467620"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/kr\/wp-json\/wp\/v2\/media?parent=475880"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}