{"id":203,"date":"2020-08-30T01:16:22","date_gmt":"2020-08-29T16:16:22","guid":{"rendered":"http:\/\/localhost:8000\/?p=203"},"modified":"2021-01-16T01:19:00","modified_gmt":"2021-01-15T16:19:00","slug":"spark-yarn-memory","status":"publish","type":"post","link":"http:\/\/localhost:8000\/2020\/08\/spark-yarn-memory.html","title":{"rendered":"Spark\uff08with Yarn\uff09\u306b\u304a\u3051\u308b\u30e1\u30e2\u30ea\u8a2d\u5b9a"},"content":{"rendered":"<p>Dataproc\u3067 <a href=\"https:\/\/spark.apache.org\/docs\/latest\/\">Spark<\/a> \u3092\u5229\u7528\u3059\u308b\u3053\u3068\u304c\u3042\u308b\u306e\u3067\u3059\u304c\u3001\u30e1\u30e2\u30ea\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u3067\u3044\u3064\u3082\u3088\u304f\u5206\u304b\u3089\u306a\u304f\u306a\u308b\u306e\u3067\u3001\u5099\u5fd8\u9332\u7684\u306b\u6b8b\u3057\u3066\u304a\u304d\u307e\u3059\u3002Resource Manager\u306b <a href=\"https:\/\/hadoop.apache.org\/docs\/current\/hadoop-yarn\/hadoop-yarn-site\/YARN.html\">Hadoop Yarn<\/a> \u3092\u5229\u7528\u3057\u3066\u3044\u308b\u30b1\u30fc\u30b9\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>\u30e1\u30e2\u30ea\u8a2d\u5b9a\u306e\u5305\u542b\u95a2\u4fc2<\/h2>\n<p>Spark\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306f<a href=\"https:\/\/spark.apache.org\/docs\/latest\/configuration.html\">\u3053\u3061\u3089<\/a>\u3001Yarn\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306f<a href=\"https:\/\/spark.apache.org\/docs\/latest\/running-on-yarn.html\">\u3053\u3061\u3089<\/a>\u306b\u66f8\u3044\u3066\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u5404Executor\u30ce\u30fc\u30c9\u306e\u30e1\u30e2\u30ea\u8a2d\u5b9a\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5305\u542b\u95a2\u4fc2\u306b\u306a\u3063\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002<\/p>\n<table>\n<tr>\n<td colspan=\"6\">\u30de\u30b7\u30f3\u30e1\u30e2\u30ea<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"4\">OS<\/td>\n<td rowspan=\"4\">\u305d\u306e\u4ed6<\/td>\n<td colspan=\"4\"><b>yarn.nodemanager.resource.memory-mb<\/b><br \/>\u30b3\u30f3\u30c6\u30ca\u306b\u5272\u308a\u5f53\u3066\u53ef\u80fd\u306a\u7269\u7406\u30e1\u30e2\u30ea<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"3\" ><b>spark.executor.memoryOverhead<\/b><br \/>1Executor\u3042\u305f\u308a\u306eVM\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u3001\u30a4\u30f3\u30bf\u30fc\u30f3\u5316\u6587\u5b57\u5217\u3001\u305d\u306e\u4ed6Native\u30aa\u30fc\u30d0\u30d8\u30c3\u30c9\u306a\u3069<\/td>\n<td colspan=\"3\"><b>spark.executor.memory<\/b><br \/>1Executor\u304c\u5229\u7528\u3059\u308b\u6700\u5927\u30e1\u30e2\u30ea\u30b5\u30a4\u30ba<\/td>\n<\/tr>\n<tr>\n<td rowspan=\"2\"><b>spark.executor.memory - spark.executor.memory * spark.memory.fraction<\/b><br \/>Reserved\u9818\u57df\u3002\u30e6\u30fc\u30b6\u30c7\u30fc\u30bf\u69cb\u9020\u3001Spark\u306e\u5185\u90e8\u30e1\u30bf\u30c7\u30fc\u30bf\u3001\u4e88\u671f\u3057\u306a\u3044\u5de8\u5927\u30ec\u30b3\u30fc\u30c9\u306b\u3088\u308bOOM\u304b\u3089\u306e\u4fdd\u8b77\u306a\u3069\u3002<\/td>\n<td colspan=\"2\"><b>spark.executor.memory * spark.memory.fraction<\/b><br \/>Spark\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u304c\u5229\u7528\u3059\u308b\u9818\u57df\u3002\u5272\u5408\u3067\u6307\u5b9a<\/td>\n<\/tr>\n<tr>\n<td><b>spark.executor.memory * spark.memory.fraction * spark.memory.storageFraction<\/b><\/br>RDD\u3092\u683c\u7d0d\u3059\u308b\u9818\u57df\u3002\u5272\u5408\u3067\u6307\u5b9a<\/td>\n<td>\u30a2\u30d7\u30ea\u5b9f\u884c\u7528\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea<\/td>\n<\/tr>\n<\/table>\n<ul>\n<li><b>yarn.nodemanager.resource.memory-mb<\/b>\n<ul>\n<li><code>yarn.nodemanager.resource.memory-mb &gt; spark.executor.memoryOverhead + spark.executor.memory<\/code>\u304c\u6210\u308a\u7acb\u3064\u5fc5\u8981\u3042\u308a<\/li>\n<li>Dataproc\u3060\u3068\u30de\u30b7\u30f3\u30e1\u30e2\u30ea\u30b5\u30a4\u30ba\u306e0.8\u304c\u30c7\u30d5\u30a9\u30eb\u30c8\u5024\u3089\u3057\u3044<\/li>\n<\/ul>\n<\/li>\n<li><b>spark.executor.memoryOverhead<\/b>\n<ul>\n<li>\u901a\u5e38<code>spark.executor.memory<\/code>\u306e6\u301c10%\u7a0b\u5ea6\u3001\u6700\u592725%\u307e\u3067\u8a2d\u5b9a\u53ef\u80fd<\/li>\n<li><code>Container killed by YARN for exceeding memory limits. x.x GB of x GB physical memory used. Consider boosting spark.yarn.executor.memoryOverhead or disabling yarn.nodemanager.vmem-check-enabled because of YARN-4714.<\/code>\u307f\u305f\u3044\u306a\u30a8\u30e9\u30fc\u304c\u51fa\u308b\u3068\u304d\u306b25%\u306b\u306a\u308b\u3088\u3046\u306b\u8a2d\u5b9a\u3057\u305f\u3089\u3001\u30a8\u30e9\u30fc\u304c\u51fa\u306a\u304f\u306a\u3063\u305f\u3053\u3068\u3042\u308a<\/li>\n<\/ul>\n<\/li>\n<li><b>spark.executor.memory<\/b>\n<ul>\n<li>1Executor\u306e\u8a2d\u5b9a\u3067\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f<\/li>\n<li><code>x.x GB of x GB physical memory used.<\/code>\u307f\u305f\u3044\u306a\u30a8\u30e9\u30fc\u304c\u51fa\u308b\u3068\u304d\u306f\u3001\u3053\u306e\u5024\u3092\u5897\u3084\u3059\u5fc5\u8981\u3042\u308a<\/li>\n<\/ul>\n<\/li>\n<li><b>spark.memory.fraction<\/b>\n<ul>\n<li>\u30c7\u30d5\u30a9\u30eb\u30c8\u306f0.6\u3002\u307b\u3068\u3093\u3069\u306e\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3067\u306f\u3053\u308c\u3067\u5341\u5206\u306a\u306e\u3067\u666e\u901a\u5909\u66f4\u3057\u306a\u3044\u3002\u3053\u306e\u5024\u304c\u5c0f\u3055\u3044\u3068\u30ad\u30e3\u30c3\u30b7\u30e5\u304b\u3089\u3053\u307c\u308c\u843d\u3061\u308b\u983b\u5ea6\u304c\u9ad8\u304f\u306a\u308a\u3001GC\u304c\u983b\u7e41\u306b\u767a\u751f\u3059\u308b\u3088\u3046\u3067\u3059<\/li>\n<\/ul>\n<\/li>\n<li><b>spark.memory.storageFraction<\/b>\n<ul>\n<li>\u30c7\u30d5\u30a9\u30eb\u30c8\u306f0.5\u3002\u307b\u3068\u3093\u3069\u306e\u30ef\u30fc\u30af\u30ed\u30fc\u30c9\u3067\u306f\u3053\u308c\u3067\u5341\u5206\u306a\u306e\u3067\u666e\u901a\u5909\u66f4\u3057\u306a\u3044\u3002\u3053\u306e\u5024\u3092\u5927\u304d\u304f\u3059\u308b\u3068\u3001\u30a2\u30d7\u30ea\u5b9f\u884c\u7528\u306e\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u304c\u5c0f\u3055\u304f\u306a\u308b\u306e\u3067\u3001\u30b9\u30ef\u30c3\u30d7\u30a2\u30a6\u30c8\u30fb\u30b9\u30ef\u30c3\u30d7\u30a4\u30f3\u306e\u983b\u5ea6\u304c\u4e0a\u304c\u308b\u3088\u3046\u3067\u3059<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>\u53c2\u8003\u30b5\u30a4\u30c8<\/h2>\n<p>\u4ee5\u4e0b\u306e\u30b5\u30a4\u30c8\u3092\u306f\u3058\u3081\u8272\u3005\u306a\u30b5\u30a4\u30c8\u3092\u53c2\u8003\u306b\u3055\u305b\u3066\u3044\u305f\u3060\u304d\u307e\u3057\u305f\u3002\u3042\u308a\u304c\u3068\u3046\u3054\u3056\u3044\u307e\u3059\u3002<\/p>\n<ul>\n<li><a href=\"https:\/\/www.slideshare.net\/Cloudera_jp\/apache-hadoop-yarn-107568692\">https:\/\/www.slideshare.net\/Cloudera_jp\/apache-hadoop-yarn-107568692<\/a><\/li>\n<li><a href=\"https:\/\/techblog.gmo-ap.jp\/2018\/09\/06\/spark%E9%81%93%E5%A0%B4%E3%83%A1%E3%83%A2%E3%83%AA%E3%81%A8cpu%E6%95%B0%E3%81%AE%E8%A8%AD%E5%AE%9A%E3%82%92%E6%9C%80%E9%81%A9%E5%8C%96%E3%81%99%E3%82%8B\/\">https:\/\/techblog.gmo-ap.jp\/2018\/09\/06\/spark%E9%81%93%E5%A0%B4%E3%83%A1%E3%83%A2%E3%83%AA%E3%81%A8cpu%E6%95%B0%E3%81%AE%E8%A8%AD%E5%AE%9A%E3%82%92%E6%9C%80%E9%81%A9%E5%8C%96%E3%81%99%E3%82%8B\/<\/a><\/li>\n<li><a href=\"https:\/\/software.fujitsu.com\/jp\/manual\/manualfiles\/m190006\/j2ul2448\/01z200\/j2448-d-03-00.html\">https:\/\/software.fujitsu.com\/jp\/manual\/manualfiles\/m190006\/j2ul2448\/01z200\/j2448-d-03-00.html<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Dataproc\u3067 Spark \u3092\u5229\u7528\u3059\u308b\u3053\u3068\u304c\u3042\u308b\u306e\u3067\u3059\u304c\u3001\u30e1\u30e2\u30ea\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u3067\u3044\u3064\u3082\u3088\u304f\u5206\u304b\u3089\u306a\u304f\u306a\u308b\u306e\u3067\u3001\u5099\u5fd8\u9332\u7684\u306b\u6b8b\u3057\u3066\u304a\u304d\u307e\u3059\u3002Resource Manager\u306b Hadoop Yarn \u3092\u5229\u7528\u3057\u3066\u3044\u308b\u30b1\u30fc\u30b9\u306b\u306a\u308a\u307e\u3059\u3002 \u30e1\u30e2\u30ea\u8a2d\u5b9a\u306e\u5305\u542b\u95a2\u4fc2 Spark\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306f\u3053\u3061\u3089\u3001Yarn\u306b\u95a2\u3059\u308b\u8a2d\u5b9a\u306f\u3053\u3061\u3089\u306b\u66f8\u3044\u3066\u3042\u308a\u307e\u3059\u3002 \u5404Executor\u30ce\u30fc\u30c9\u306e\u30e1\u30e2\u30ea\u8a2d\u5b9a\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u5305\u542b\u95a2\u4fc2\u306b\u306a\u3063\u3066\u3044\u308b\u3088\u3046\u3067\u3059\u3002 \u30de\u30b7\u30f3\u30e1\u30e2\u30ea OS \u305d\u306e\u4ed6 yarn.nodemanager.resource.memory-mb\u30b3\u30f3\u30c6\u30ca\u306b\u5272\u308a\u5f53\u3066\u53ef\u80fd\u306a\u7269\u7406\u30e1\u30e2\u30ea spark.executor.memoryOverhead1Executor\u3042\u305f\u308a\u306eVM\u30aa\u30fc\u30d0\u30fc\u30d8\u30c3\u30c9\u3001\u30a4\u30f3\u30bf\u30fc\u30f3\u5316\u6587\u5b57\u5217\u3001\u305d\u306e\u4ed6Native\u30aa\u30fc\u30d0\u30d8\u30c3\u30c9\u306a\u3069 spark.executor.memory1Executor\u304c\u5229\u7528\u3059\u308b\u6700\u5927\u30e1\u30e2\u30ea\u30b5\u30a4\u30ba s <a href=\"http:\/\/localhost:8000\/2020\/08\/spark-yarn-memory.html\" class=\"read-more button-fancy -red\"><span class=\"btn-arrow\"><\/span><span class=\"twp-read-more text\">Continue Reading<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[24],"tags":[],"_links":{"self":[{"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/posts\/203"}],"collection":[{"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/comments?post=203"}],"version-history":[{"count":1,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/posts\/203\/revisions"}],"predecessor-version":[{"id":204,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/posts\/203\/revisions\/204"}],"wp:attachment":[{"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/media?parent=203"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/categories?post=203"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/localhost:8000\/wp-json\/wp\/v2\/tags?post=203"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}