{"id":1153,"date":"2023-04-13T14:52:44","date_gmt":"2023-04-13T05:52:44","guid":{"rendered":"http:\/\/edu.ujhb.org\/?p=1153"},"modified":"2023-04-13T14:52:44","modified_gmt":"2023-04-13T05:52:44","slug":"spark%e5%85%a5%e9%97%a8%ef%bc%88%e4%b8%ad%e6%96%87%e7%89%88%ef%bc%89","status":"publish","type":"post","link":"https:\/\/edu.ujhb.org\/?p=1153","title":{"rendered":"Spark\u5165\u95e8\uff08\u4e2d\u6587\u7248\uff09"},"content":{"rendered":"\n<p>\u6211\u662f\u8981\u505aIT\u6559\u7a0b\u7684\u89c6\u9891\uff0c\u4f60\u80fd\u5426\u6839\u636e\u7f51\u7ad9\u7684\u5185\u5bb9\uff0c\u4e3a\u6211\u5b89\u6392\u89c6\u9891\u6559\u7a0b\u7684\u6587\u5b57\u5185\u5bb9\u3002\u6211\u4eec\u5148\u4eceSpark\u6559\u7a0b\u5f00\u59cb\uff0c\u4f60\u5148\u4e3a\u6211\u5217\u51fa\u8981\u8bb2\u89e3\u7684\u5185\u5bb9\u4e00\u89c8\u3002<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u4e3a\u60a8\u63d0\u4f9b\u5e2e\u52a9\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u53ef\u80fd\u6db5\u76d6\u5728Spark\u6559\u7a0b\u4e2d\u7684\u4e3b\u9898\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Spark\u7b80\u4ecb\u548c\u5b89\u88c5<\/li>\n\n\n\n<li>Spark\u6838\u5fc3\u6982\u5ff5\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. RDD\uff08\u5f39\u6027\u5206\u5e03\u5f0f\u6570\u636e\u96c6\uff09<\/p>\n\n\n\n<p>b. Spark SQL<\/p>\n\n\n\n<p>c. DataFrame\u548cDataSet<\/p>\n\n\n\n<p>d. Spark Streaming<\/p>\n\n\n\n<p>e. MLlib\uff08\u673a\u5668\u5b66\u4e60\u5e93\uff09<\/p>\n\n\n\n<p>f. GraphX\uff08\u56fe\u5f62\u5904\u7406\u5e93\uff09<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"3\">\n<li>Spark\u7f16\u7a0b\u8bed\u8a00\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. Scala<\/p>\n\n\n\n<p>b. Java<\/p>\n\n\n\n<p>c. Python<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"4\">\n<li>Spark\u96c6\u7fa4\u67b6\u6784\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. Spark Standalone<\/p>\n\n\n\n<p>b. Hadoop YARN<\/p>\n\n\n\n<p>c. Apache Mesos<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>Spark\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. Spark\u5e94\u7528\u7a0b\u5e8f\u751f\u547d\u5468\u671f<\/p>\n\n\n\n<p>b. \u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f<\/p>\n\n\n\n<p>c. Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"6\">\n<li>Spark\u6027\u80fd\u8c03\u4f18\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. \u786c\u4ef6\u4f18\u5316<\/p>\n\n\n\n<p>b. \u8f6f\u4ef6\u4f18\u5316<\/p>\n\n\n\n<p>c. \u8c03\u6574Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e<\/p>\n\n\n\n<ol class=\"wp-block-list\" start=\"7\">\n<li>Spark\u5b9e\u6218\u6848\u4f8b\uff1a<\/li>\n<\/ol>\n\n\n\n<p>a. \u4f7f\u7528Spark\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u6e05\u6d17<\/p>\n\n\n\n<p>b. \u4f7f\u7528Spark\u8fdb\u884c\u5b9e\u65f6\u6570\u636e\u5206\u6790<\/p>\n\n\n\n<p>c. \u4f7f\u7528Spark\u8fdb\u884c\u673a\u5668\u5b66\u4e60<\/p>\n\n\n\n<p>d. \u4f7f\u7528Spark\u8fdb\u884c\u56fe\u5f62\u5904\u7406<\/p>\n\n\n\n<p>\u8fd9\u53ea\u662f\u4e00\u4e2a\u6982\u89c8\uff0c\u60a8\u53ef\u4ee5\u6839\u636e\u60a8\u7684\u9700\u6c42\u548c\u76ee\u6807\u9009\u62e9\u8bb2\u89e3\u54ea\u4e9b\u4e3b\u9898\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u7b80\u4ecb\u548c\u5b89\u88c5<\/p>\n\n\n\n<p>\u5f53\u7136\uff0c\u5f88\u9ad8\u5174\u80fd\u591f\u5e2e\u52a9\u60a8\u3002\u4ee5\u4e0b\u662fSpark\u7684\u7b80\u4ecb\u548c\u5b89\u88c5\u8bf4\u660e\uff1a<\/p>\n\n\n\n<p>Spark\u7b80\u4ecb\uff1a<\/p>\n\n\n\n<p>Spark\u662f\u4e00\u79cd\u5feb\u901f\uff0c\u901a\u7528\uff0c\u53ef\u6269\u5c55\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\u7cfb\u7edf\uff0c\u65e8\u5728\u901a\u8fc7\u5185\u5b58\u8ba1\u7b97\u548c\u66f4\u9ad8\u7684\u62bd\u8c61\u7ea7\u522b\u6765\u63d0\u9ad8Hadoop MapReduce\u7684\u6548\u7387\u3002Spark\u53ef\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u5305\u62ec\u6279\u5904\u7406\uff0c\u5b9e\u65f6\u6d41\u5904\u7406\uff0c\u673a\u5668\u5b66\u4e60\u548c\u56fe\u5f62\u5904\u7406\u3002Spark\u63d0\u4f9b\u4e86\u4e00\u4e2a\u9ad8\u5ea6\u53ef\u6269\u5c55\u7684\u96c6\u7fa4\u7ba1\u7406\u7cfb\u7edf\uff0c\u53ef\u5728\u6570\u767e\u53f0\u8ba1\u7b97\u673a\u4e0a\u8fd0\u884c\u3002<\/p>\n\n\n\n<p>Spark\u5b89\u88c5\uff1a<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u5b89\u88c5Spark\u7684\u6b65\u9aa4\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u524d\u63d0\u6761\u4ef6\uff1a\u9996\u5148\uff0c\u60a8\u9700\u8981Java JDK\u548cScala\u73af\u5883\u3002\u5982\u679c\u60a8\u6ca1\u6709\u5b89\u88c5\u5b83\u4eec\uff0c\u8bf7\u5148\u5b89\u88c5\u5b83\u4eec\u3002\u5982\u679c\u60a8\u4f7f\u7528Python\u7f16\u5199Spark\u5e94\u7528\u7a0b\u5e8f\uff0c\u5219\u9700\u8981Python\u73af\u5883\u3002<\/li>\n\n\n\n<li>\u4e0b\u8f7dSpark\uff1a\u60a8\u53ef\u4ee5\u4eceSpark\u5b98\u65b9\u7f51\u7ad9\u4e0a\u4e0b\u8f7dSpark\u3002\u9009\u62e9\u9002\u5408\u60a8\u7684\u64cd\u4f5c\u7cfb\u7edf\u7684\u7248\u672c\uff0c\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u4f7f\u7528Linux\uff0c\u5219\u53ef\u4ee5\u4e0b\u8f7d.tgz\u6587\u4ef6\u3002<\/li>\n\n\n\n<li>\u89e3\u538bSpark\uff1a\u5c06\u4e0b\u8f7d\u7684Spark\u6587\u4ef6\u89e3\u538b\u7f29\u5230\u60a8\u60f3\u8981\u5b89\u88c5\u5b83\u7684\u76ee\u5f55\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5c06\u5176\u89e3\u538b\u7f29\u5230\/home\/user\/spark\u76ee\u5f55\u4e2d\u3002<\/li>\n\n\n\n<li>\u914d\u7f6eSpark\uff1aSpark\u9700\u8981\u4e00\u4e9b\u914d\u7f6e\u624d\u80fd\u6b63\u5e38\u8fd0\u884c\u3002\u6253\u5f00Spark\u5b89\u88c5\u76ee\u5f55\u4e2d\u7684conf\u76ee\u5f55\uff0c\u5e76\u590d\u5236spark-env.sh.template\u6587\u4ef6\u5e76\u5c06\u5176\u91cd\u547d\u540d\u4e3aspark-env.sh\u3002\u7f16\u8f91spark-env.sh\u6587\u4ef6\u5e76\u8bbe\u7f6eSPARK_HOME\u548cJAVA_HOME\u53d8\u91cf\u3002\u4f8b\u5982\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">javascriptCopy code<code>export SPARK_HOME=\/home\/user\/spark\nexport JAVA_HOME=\/usr\/lib\/jvm\/java-1.8.0-openjdk-amd64\n<\/code><\/pre>\n\n\n\n<ol class=\"wp-block-list\" start=\"5\">\n<li>\u542f\u52a8Spark\uff1a\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u542f\u52a8Spark\uff1a<\/li>\n<\/ol>\n\n\n\n<pre class=\"wp-block-preformatted\">bashCopy code<code>$SPARK_HOME\/bin\/spark-shell\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u5c06\u542f\u52a8Spark shell\uff0c\u60a8\u53ef\u4ee5\u5728\u5176\u4e2d\u6267\u884cSpark\u4efb\u52a1\u548c\u67e5\u8be2\u3002\u5982\u679c\u60a8\u9700\u8981\u5728\u96c6\u7fa4\u4e0a\u8fd0\u884cSpark\u5e94\u7528\u7a0b\u5e8f\uff0c\u5219\u9700\u8981\u914d\u7f6eSpark\u96c6\u7fa4\u548c\u542f\u52a8Spark\u4e3b\u8282\u70b9\u548c\u5de5\u4f5c\u8282\u70b9\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5RDD<\/p>\n\n\n\n<p>\u5f53\u7136\uff0c\u5f88\u9ad8\u5174\u80fd\u591f\u4e3a\u60a8\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5\u4e2d\u7684RDD\u3002RDD\u662fSpark\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6982\u5ff5\uff0c\u5b83\u4ee3\u8868\u4e00\u4e2a\u4e0d\u53ef\u53d8\u3001\u53ef\u5206\u533a\u3001\u53ef\u5e76\u884c\u8ba1\u7b97\u7684\u6570\u636e\u96c6\u5408\uff0c\u662fSpark\u5728\u5185\u5b58\u4e2d\u7684\u57fa\u672c\u6570\u636e\u6a21\u578b\u3002<\/p>\n\n\n\n<p>RDD\uff08\u5f39\u6027\u5206\u5e03\u5f0f\u6570\u636e\u96c6\uff09\u662fSpark\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\uff0c\u662f\u5206\u5e03\u5f0f\u6570\u636e\u7684\u57fa\u672c\u62bd\u8c61\u3002\u5b83\u662f\u4e00\u4e2a\u53ea\u8bfb\u7684\u5206\u5e03\u5f0f\u6570\u636e\u96c6\u5408\uff0c\u53ef\u4ee5\u5206\u6210\u591a\u4e2a\u903b\u8f91\u5206\u533a\uff0c\u5206\u533a\u4e2d\u7684\u5143\u7d20\u88ab\u5b58\u50a8\u5728\u96c6\u7fa4\u7684\u4e0d\u540c\u8282\u70b9\u4e0a\uff0c\u56e0\u6b64\u53ef\u4ee5\u5e76\u884c\u5904\u7406\u3002RDD\u53ef\u4ee5\u4eceHadoop\u6587\u4ef6\u7cfb\u7edf\uff08HDFS\uff09\u4e2d\u7684\u6587\u4ef6\u6216Spark\u64cd\u4f5c\u4e2d\u521b\u5efa\uff0c\u5e76\u652f\u6301\u5404\u79cd\u64cd\u4f5c\uff08\u4f8b\u5982\u8f6c\u6362\u548c\u64cd\u4f5c\uff09\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u4ee5\u5728RDD\u4e0a\u5e76\u884c\u6267\u884c\u3002<\/p>\n\n\n\n<p>RDD\u6709\u4ee5\u4e0b\u4e3b\u8981\u7279\u5f81\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4e0d\u53ef\u53d8\u6027\uff1a\u4e00\u65e6\u521b\u5efa\u4e86RDD\uff0c\u5c31\u4e0d\u80fd\u66f4\u6539\u5b83\u3002\u5982\u679c\u9700\u8981\u66f4\u6539RDD\uff0c\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u65b0\u7684RDD\u3002<\/li>\n\n\n\n<li>\u5206\u533a\uff1aRDD\u53ef\u4ee5\u5206\u6210\u591a\u4e2a\u903b\u8f91\u5206\u533a\uff0c\u6bcf\u4e2a\u5206\u533a\u53ef\u4ee5\u5728\u96c6\u7fa4\u4e2d\u7684\u4e0d\u540c\u8282\u70b9\u4e0a\u5e76\u884c\u5904\u7406\u3002<\/li>\n\n\n\n<li>\u5bbd\u4f9d\u8d56\u548c\u7a84\u4f9d\u8d56\uff1aSpark\u4f7f\u7528\u4f9d\u8d56\u5173\u7cfb\u6765\u8bb0\u5f55RDD\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5b83\u4eec\u6709\u4e24\u79cd\u7c7b\u578b\uff1a\u5bbd\u4f9d\u8d56\u548c\u7a84\u4f9d\u8d56\u3002\u5bbd\u4f9d\u8d56\u6307\u7684\u662f\u4e00\u4e2a\u7236RDD\u88ab\u591a\u4e2a\u5b50RDD\u6240\u4f9d\u8d56\uff0c\u800c\u7a84\u4f9d\u8d56\u6307\u7684\u662f\u6bcf\u4e2a\u7236RDD\u7684\u5206\u533a\u6700\u591a\u88ab\u4e00\u4e2a\u5b50RDD\u6240\u4f7f\u7528\u3002<\/li>\n\n\n\n<li>\u61d2\u6267\u884c\uff1aSpark\u4e2d\u7684\u64cd\u4f5c\u662f\u61d2\u6267\u884c\u7684\uff0c\u5373\u5b83\u4eec\u4e0d\u4f1a\u7acb\u5373\u6267\u884c\uff0c\u800c\u662f\u7b49\u5230\u9700\u8981\u7ed3\u679c\u65f6\u624d\u4f1a\u6267\u884c\u3002<\/li>\n\n\n\n<li>\u7f13\u5b58\uff1aSpark\u652f\u6301\u5c06RDD\u7f13\u5b58\u5728\u5185\u5b58\u4e2d\uff0c\u4ee5\u4fbf\u66f4\u5feb\u5730\u8bbf\u95ee\u548c\u91cd\u590d\u4f7f\u7528\u3002<\/li>\n<\/ol>\n\n\n\n<p>Spark\u652f\u6301\u591a\u79cd\u64cd\u4f5c\uff0c\u53ef\u4ee5\u5728RDD\u4e0a\u6267\u884c\uff0c\u8fd9\u4e9b\u64cd\u4f5c\u5206\u4e3a\u4e24\u7c7b\uff1a\u8f6c\u6362\u548c\u64cd\u4f5c\u3002\u8f6c\u6362\u64cd\u4f5c\u5c06\u4e00\u4e2aRDD\u8f6c\u6362\u6210\u53e6\u4e00\u4e2aRDD\uff0c\u800c\u64cd\u4f5c\u64cd\u4f5c\u5bf9\u4e00\u4e2aRDD\u8fdb\u884c\u8ba1\u7b97\u5e76\u8fd4\u56de\u7ed3\u679c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684RDD\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>map\uff1a\u5bf9RDD\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e94\u7528\u4e00\u4e2a\u51fd\u6570\uff0c\u751f\u6210\u4e00\u4e2a\u65b0\u7684RDD\u3002<\/li>\n\n\n\n<li>filter\uff1a\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6ee1\u8db3\u6307\u5b9a\u6761\u4ef6\u7684RDD\u5143\u7d20\u7684\u65b0RDD\u3002<\/li>\n\n\n\n<li>flatMap\uff1a\u5bf9RDD\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e94\u7528\u4e00\u4e2a\u51fd\u6570\uff0c\u751f\u6210\u4e00\u4e2a\u5e8f\u5217\uff0c\u5e76\u5c06\u6240\u6709\u5e8f\u5217\u5408\u5e76\u6210\u4e00\u4e2aRDD\u3002<\/li>\n\n\n\n<li>reduceByKey\uff1a\u6309\u952e\u5bf9RDD\u4e2d\u7684\u5143\u7d20\u8fdb\u884c\u5206\u7ec4\u5e76\u6267\u884creduce\u64cd\u4f5c\uff0c\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\uff08\u952e\uff0c\u503c\uff09\u5bf9\u7684\u65b0RDD\u3002<\/li>\n\n\n\n<li>count\uff1a\u8fd4\u56deRDD\u4e2d\u5143\u7d20\u7684\u6570\u91cf\u3002<\/li>\n\n\n\n<li>collect\uff1a\u8fd4\u56deRDD\u4e2d\u7684\u6240\u6709\u5143\u7d20\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u8fd9\u4e9b\u64cd\u4f5c\u53ea\u662fRDD\u64cd\u4f5c\u7684\u4e00\u5c0f\u90e8\u5206\uff0c\u4f46\u5b83\u4eec\u53ef\u4ee5\u8ba9\u60a8\u4e86\u89e3\u5230Spark\u7684\u5f3a\u5927\u529f\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7528Scala\u548cPython\u5206\u522b\u7ed9\u51faSpark map\u64cd\u4f5c\u7684\u793a\u4f8b<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662fScala\u548cPython\u4e2dSpark map\u64cd\u4f5c\u7684\u793a\u4f8b\uff1a<\/p>\n\n\n\n<p>Scala\u793a\u4f8b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>val nums = sc.parallelize(Seq(1, 2, 3, 4, 5))\nval squared = nums.map(x =&gt; x * x)\nsquared.foreach(println)\n<\/code><\/pre>\n\n\n\n<p>\u89e3\u91ca\uff1a\u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528parallelize\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u5b57\u5e8f\u5217\u7684RDD\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528map\u64cd\u4f5c\u5c06RDD\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e73\u65b9\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728\u65b0\u7684RDD\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528foreach\u64cd\u4f5c\u5c06\u65b0\u7684RDD\u4e2d\u7684\u5143\u7d20\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>Python\u793a\u4f8b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>nums = sc.parallelize([1, 2, 3, 4, 5])\nsquared = nums.map(lambda x: x * x)\nsquared.foreach(print)\n<\/code><\/pre>\n\n\n\n<p>\u89e3\u91ca\uff1a\u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528parallelize\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u5b57\u5e8f\u5217\u7684RDD\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528map\u64cd\u4f5c\u5c06RDD\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e73\u65b9\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728\u65b0\u7684RDD\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528foreach\u64cd\u4f5c\u5c06\u65b0\u7684RDD\u4e2d\u7684\u5143\u7d20\u6253\u5370\u51fa\u6765\u3002\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528lambda\u51fd\u6570\u6765\u5b9a\u4e49map\u64cd\u4f5c\u7684\u51fd\u6570\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7528Scala\u548cPython\u5206\u522b\u7ed9\u51faSpark reduce\u64cd\u4f5c\u7684\u793a\u4f8b<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662fScala\u548cPython\u4e2dSpark reduce\u64cd\u4f5c\u7684\u793a\u4f8b\uff1a<\/p>\n\n\n\n<p>Scala\u793a\u4f8b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>val nums = sc.parallelize(Seq(1, 2, 3, 4, 5))\nval sum = nums.reduce((a, b) =&gt; a + b)\nprintln(sum)\n<\/code><\/pre>\n\n\n\n<p>\u89e3\u91ca\uff1a\u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528parallelize\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u5b57\u5e8f\u5217\u7684RDD\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528reduce\u64cd\u4f5c\u5c06RDD\u4e2d\u7684\u6240\u6709\u5143\u7d20\u76f8\u52a0\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728\u53d8\u91cfsum\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528println\u65b9\u6cd5\u6253\u5370\u51fa\u53d8\u91cfsum\u7684\u503c\u3002<\/p>\n\n\n\n<p>Python\u793a\u4f8b\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>nums = sc.parallelize([1, 2, 3, 4, 5])\nsum = nums.reduce(lambda a, b: a + b)\nprint(sum)\n<\/code><\/pre>\n\n\n\n<p>\u89e3\u91ca\uff1a\u9996\u5148\uff0c\u6211\u4eec\u4f7f\u7528parallelize\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u6570\u5b57\u5e8f\u5217\u7684RDD\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528reduce\u64cd\u4f5c\u5c06RDD\u4e2d\u7684\u6240\u6709\u5143\u7d20\u76f8\u52a0\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728\u53d8\u91cfsum\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528print\u51fd\u6570\u6253\u5370\u51fa\u53d8\u91cfsum\u7684\u503c\u3002\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528lambda\u51fd\u6570\u6765\u5b9a\u4e49reduce\u64cd\u4f5c\u7684\u51fd\u6570\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5Spark SQL<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark SQL\u662fSpark\u4e2d\u7684\u4e00\u4e2a\u7ec4\u4ef6\uff0c\u7528\u4e8e\u5c06\u7ed3\u6784\u5316\u6570\u636e\uff08\u4f8b\u5982\u8868\u683c\u6570\u636e\uff09\u4e0eSpark\u7684\u5f39\u6027\u5206\u5e03\u5f0f\u6570\u636e\u96c6\uff08RDD\uff09\u7ed3\u5408\u8d77\u6765\u3002Spark SQL\u5141\u8bb8\u60a8\u4f7f\u7528SQL\u67e5\u8be2\uff0cDataFrame API\u548cDataset API\u6765\u8bbf\u95ee\u548c\u64cd\u4f5c\u6570\u636e\u3002Spark SQL\u53ef\u4ee5\u4e0e\u591a\u4e2a\u6570\u636e\u6e90\u96c6\u6210\uff0c\u5305\u62ecHive\uff0cAvro\uff0cParquet\u548cJSON\u7b49\u683c\u5f0f\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bSpark SQL\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>DataFrame\uff1aDataFrame\u662fSpark SQL\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\uff0c\u5b83\u662f\u4e00\u4e2a\u5206\u5e03\u5f0f\u7684\u6570\u636e\u8868\u683c\uff0c\u5177\u6709\u547d\u540d\u5217\u548c\u53ef\u63a8\u65ad\u7684\u6a21\u5f0f\u3002\u5b83\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u7ec4\u5173\u7cfb\u6570\u636e\u7684\u96c6\u5408\uff0c\u7c7b\u4f3c\u4e8e\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e2d\u7684\u8868\u683c\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7DataFrame API\u6216Spark SQL\u8bed\u53e5\u6765\u8bbf\u95ee\u548c\u64cd\u4f5cDataFrame\u3002<\/li>\n\n\n\n<li>Dataset\uff1aDataset\u662fSpark SQL\u7684\u4e00\u4e2a\u6269\u5c55\uff0c\u5b83\u662f\u4e00\u4e2a\u5f3a\u7c7b\u578b\u7684\u5206\u5e03\u5f0f\u6570\u636e\u96c6\u5408\u3002\u4e0eDataFrame\u4e0d\u540c\uff0cDataset\u5141\u8bb8\u60a8\u5728\u7f16\u8bd1\u65f6\u68c0\u67e5\u7c7b\u578b\u5b89\u5168\uff0c\u5e76\u5141\u8bb8\u60a8\u4f7f\u7528\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u6a21\u578b\u3002<\/li>\n\n\n\n<li>SQLContext\uff1aSQLContext\u662fSpark SQL\u7684\u5165\u53e3\u70b9\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bbf\u95eeDataFrame\u548cDataset\u7684\u65b9\u6cd5\u3002\u901a\u8fc7SQLContext\uff0c\u60a8\u53ef\u4ee5\u5c06\u6570\u636e\u4ece\u4e0d\u540c\u7684\u6570\u636e\u6e90\u8bfb\u53d6\u5230DataFrame\u6216Dataset\u4e2d\uff0c\u5e76\u6267\u884cSQL\u67e5\u8be2\u3002<\/li>\n\n\n\n<li>Catalyst Optimizer\uff1aCatalyst\u662fSpark SQL\u7684\u67e5\u8be2\u4f18\u5316\u5668\uff0c\u5b83\u4f7f\u7528\u89c4\u5219\u548c\u4f18\u5316\u6280\u672f\u6765\u63d0\u9ad8\u67e5\u8be2\u7684\u6027\u80fd\u3002Catalyst\u80fd\u591f\u81ea\u52a8\u4f18\u5316SQL\u67e5\u8be2\u5e76\u751f\u6210\u9ad8\u6548\u7684\u6267\u884c\u8ba1\u5212\u3002<\/li>\n\n\n\n<li>DataSource API\uff1aSpark SQL\u63d0\u4f9b\u4e86\u4e00\u4e2aDataSource API\uff0c\u5b83\u5141\u8bb8\u60a8\u901a\u8fc7\u7f16\u5199\u63d2\u4ef6\u6765\u5c06\u4e0d\u540c\u7684\u6570\u636e\u6e90\u4e0eSpark SQL\u96c6\u6210\u3002DataSource API\u63d0\u4f9b\u4e86\u4e00\u4e2a\u901a\u7528\u7684\u63a5\u53e3\u6765\u8bfb\u53d6\u548c\u5199\u5165\u6570\u636e\uff0c\u5305\u62ec\u7ed3\u6784\u5316\u6570\u636e\u548c\u534a\u7ed3\u6784\u5316\u6570\u636e\u3002<\/li>\n<\/ol>\n\n\n\n<p>Spark SQL\u652f\u6301\u591a\u79cd\u6570\u636e\u6e90\uff0c\u5305\u62ecHadoop Distributed File System\uff08HDFS\uff09\uff0cApache Hive\uff0cApache Cassandra\uff0cApache HBase\uff0cAmazon S3\u548cJDBC\u7b49\u3002\u901a\u8fc7Spark SQL\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u4e0d\u540c\u7684\u6570\u636e\u6e90\u548c\u683c\u5f0f\u7ec4\u5408\u5728\u4e00\u8d77\uff0c\u5e76\u4f7f\u7528SQL\u6216DataFrame API\u6765\u8bbf\u95ee\u548c\u64cd\u4f5c\u6570\u636e\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5DataFrame\u5e76\u7ed9\u51fa\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002DataFrame\u662fSpark SQL\u4e2d\u7684\u4e00\u4e2a\u6838\u5fc3\u6982\u5ff5\uff0c\u5b83\u662f\u4e00\u79cd\u5206\u5e03\u5f0f\u7684\u6570\u636e\u8868\u683c\uff0c\u7531\u4e00\u7ec4\u547d\u540d\u5217\u7ec4\u6210\uff0c\u5177\u6709\u53ef\u63a8\u65ad\u7684\u6a21\u5f0f\u3002DataFrame\u53ef\u4ee5\u770b\u4f5c\u662f\u4e00\u79cd\u7ed3\u6784\u5316\u6570\u636e\u7684\u96c6\u5408\uff0c\u7c7b\u4f3c\u4e8e\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e2d\u7684\u8868\u683c\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528DataFrame API\u6216Spark SQL\u67e5\u8be2\u6765\u8bbf\u95ee\u548c\u64cd\u4f5cDataFrame\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fDataFrame\u7684\u4e00\u4e9b\u91cd\u8981\u7279\u5f81\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u4e0d\u53ef\u53d8\u6027\uff1a\u4e0eRDD\u7c7b\u4f3c\uff0cDataFrame\u4e5f\u662f\u4e0d\u53ef\u53d8\u7684\uff0c\u4e00\u65e6\u521b\u5efa\u5c31\u4e0d\u80fd\u66f4\u6539\u3002\u5982\u679c\u9700\u8981\u66f4\u6539DataFrame\uff0c\u5219\u9700\u8981\u521b\u5efa\u4e00\u4e2a\u65b0\u7684DataFrame\u3002<\/li>\n\n\n\n<li>\u53ef\u4ee5\u5206\u533a\uff1aDataFrame\u53ef\u4ee5\u5206\u4e3a\u591a\u4e2a\u903b\u8f91\u5206\u533a\uff0c\u6bcf\u4e2a\u5206\u533a\u53ef\u4ee5\u5728\u96c6\u7fa4\u4e2d\u7684\u4e0d\u540c\u8282\u70b9\u4e0a\u5e76\u884c\u5904\u7406\u3002<\/li>\n\n\n\n<li>\u53ef\u4ee5\u7f13\u5b58\uff1a\u4e0eRDD\u7c7b\u4f3c\uff0c\u60a8\u53ef\u4ee5\u5c06DataFrame\u7f13\u5b58\u5728\u5185\u5b58\u4e2d\uff0c\u4ee5\u4fbf\u66f4\u5feb\u5730\u8bbf\u95ee\u548c\u91cd\u590d\u4f7f\u7528\u3002<\/li>\n\n\n\n<li>\u5ef6\u8fdf\u6267\u884c\uff1aSpark\u4e2d\u7684\u64cd\u4f5c\u662f\u61d2\u6267\u884c\u7684\uff0c\u5373\u5b83\u4eec\u4e0d\u4f1a\u7acb\u5373\u6267\u884c\uff0c\u800c\u662f\u7b49\u5230\u9700\u8981\u7ed3\u679c\u65f6\u624d\u4f1a\u6267\u884c\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528DataFrame API\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u6267\u884c\u4e00\u4e9b\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.sql.SparkSession\n\nobject DataFrameExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"DataFrameExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    val df = spark.read\n      .option(\"header\", \"true\")\n      .option(\"inferSchema\", \"true\")\n      .csv(\"path\/to\/file.csv\")\n\n    df.printSchema()\n\n    val filtered = df.filter(\"age &gt; 30\")\n    filtered.show()\n\n    val grouped = df.groupBy(\"gender\").count()\n    grouped.show()\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728DataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528printSchema\u65b9\u6cd5\u6253\u5370DataFrame\u7684\u6a21\u5f0f\u4fe1\u606f\u3002\u7136\u540e\uff0c\u5b83\u4f7f\u7528filter\u65b9\u6cd5\u7b5b\u9009\u51fa\u5e74\u9f84\u5927\u4e8e30\u5c81\u7684\u884c\uff0c\u5e76\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u7b5b\u9009\u7ed3\u679c\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528groupBy\u65b9\u6cd5\u548ccount\u65b9\u6cd5\u5c06DataFrame\u6309\u7167\u6027\u522b\u5206\u7ec4\uff0c\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u7ec4\u7684\u884c\u6570\uff0c\u5e76\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u5206\u7ec4\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cDataFrame\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5Dataset\u5e76\u7ed9\u51fa\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Dataset\u662fSpark SQL\u7684\u4e00\u4e2a\u6269\u5c55\uff0c\u5b83\u662f\u4e00\u4e2a\u5f3a\u7c7b\u578b\u7684\u5206\u5e03\u5f0f\u6570\u636e\u96c6\u5408\u3002\u4e0eDataFrame\u4e0d\u540c\uff0cDataset\u5141\u8bb8\u60a8\u5728\u7f16\u8bd1\u65f6\u68c0\u67e5\u7c7b\u578b\u5b89\u5168\uff0c\u5e76\u5141\u8bb8\u60a8\u4f7f\u7528\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u6a21\u578b\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528Dataset API\u6216Spark SQL\u67e5\u8be2\u6765\u8bbf\u95ee\u548c\u64cd\u4f5cDataset\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fDataset\u7684\u4e00\u4e9b\u91cd\u8981\u7279\u5f81\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5f3a\u7c7b\u578b\uff1a\u4e0eDataFrame\u4e0d\u540c\uff0cDataset\u662f\u4e00\u4e2a\u5f3a\u7c7b\u578b\u7684\u6570\u636e\u96c6\u5408\u3002\u5b83\u4e0eScala\u548cJava\u4e2d\u7684\u7c7b\u76f8\u5bf9\u5e94\uff0c\u56e0\u6b64\u53ef\u4ee5\u8fdb\u884c\u7f16\u8bd1\u65f6\u7c7b\u578b\u68c0\u67e5\u3002<\/li>\n\n\n\n<li>\u53ef\u4ee5\u7f13\u5b58\uff1a\u4e0eDataFrame\u7c7b\u4f3c\uff0c\u60a8\u53ef\u4ee5\u5c06Dataset\u7f13\u5b58\u5728\u5185\u5b58\u4e2d\uff0c\u4ee5\u4fbf\u66f4\u5feb\u5730\u8bbf\u95ee\u548c\u91cd\u590d\u4f7f\u7528\u3002<\/li>\n\n\n\n<li>\u53ef\u4ee5\u5206\u533a\uff1aDataset\u53ef\u4ee5\u5206\u4e3a\u591a\u4e2a\u903b\u8f91\u5206\u533a\uff0c\u6bcf\u4e2a\u5206\u533a\u53ef\u4ee5\u5728\u96c6\u7fa4\u4e2d\u7684\u4e0d\u540c\u8282\u70b9\u4e0a\u5e76\u884c\u5904\u7406\u3002<\/li>\n\n\n\n<li>\u5ef6\u8fdf\u6267\u884c\uff1aSpark\u4e2d\u7684\u64cd\u4f5c\u662f\u61d2\u6267\u884c\u7684\uff0c\u5373\u5b83\u4eec\u4e0d\u4f1a\u7acb\u5373\u6267\u884c\uff0c\u800c\u662f\u7b49\u5230\u9700\u8981\u7ed3\u679c\u65f6\u624d\u4f1a\u6267\u884c\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Dataset API\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u6267\u884c\u4e00\u4e9b\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.sql.{Encoder, Encoders, SparkSession}\n\ncase class Person(name: String, age: Int, gender: String)\n\nobject DatasetExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"DatasetExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    implicit val encoder: Encoder[Person] = Encoders.product[Person]\n\n    val ds = spark.read\n      .option(\"header\", \"true\")\n      .option(\"inferSchema\", \"true\")\n      .csv(\"path\/to\/file.csv\")\n      .as[Person]\n\n    ds.printSchema()\n\n    val filtered = ds.filter(p =&gt; p.age &gt; 30)\n    filtered.show()\n\n    val grouped = ds.groupBy(\"gender\").count()\n    grouped.show()\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728Dataset\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u5b9a\u4e49\u4e86\u4e00\u4e2a\u540d\u4e3aPerson\u7684case class\uff0c\u7528\u4e8e\u5c06Dataset\u7684\u884c\u6620\u5c04\u5230\u5bf9\u8c61\u4e2d\u3002\u7136\u540e\uff0c\u5b83\u4f7f\u7528as\u65b9\u6cd5\u5c06Dataset\u8f6c\u6362\u4e3aPerson\u7c7b\u578b\u7684Dataset\u3002\u63a5\u4e0b\u6765\uff0c\u5b83\u4f7f\u7528printSchema\u65b9\u6cd5\u6253\u5370Dataset\u7684\u6a21\u5f0f\u4fe1\u606f\u3002\u7136\u540e\uff0c\u5b83\u4f7f\u7528filter\u65b9\u6cd5\u7b5b\u9009\u51fa\u5e74\u9f84\u5927\u4e8e30\u5c81\u7684\u884c\uff0c\u5e76\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u7b5b\u9009\u7ed3\u679c\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528groupBy\u65b9\u6cd5\u548ccount\u65b9\u6cd5\u5c06Dataset\u6309\u7167\u6027\u522b\u5206\u7ec4\uff0c\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u7ec4\u7684\u884c\u6570\uff0c\u5e76\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u5206\u7ec4\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cDataset\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5DataFrame\u5982\u4f55\u8bfb\u5199CSV\u6587\u4ef6\u3001<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark\u7684DataFrame API\u63d0\u4f9b\u4e86\u4e00\u7ec4\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u7684\u65b9\u6cd5\uff0c\u4f7f\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06CSV\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u5e76\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u683c\u5f0f\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528Spark DataFrame API\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}\n\nobject CsvExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"CsvExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    \/\/ \u8bfb\u53d6CSV\u6587\u4ef6\u5230DataFrame\n    val df: DataFrame = spark.read\n      .format(\"csv\")\n      .option(\"header\", \"true\")\n      .option(\"inferSchema\", \"true\")\n      .load(\"path\/to\/file.csv\")\n\n    \/\/ \u663e\u793aDataFrame\n    df.show()\n\n    \/\/ \u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\n    df.write\n      .format(\"csv\")\n      .mode(SaveMode.Overwrite)\n      .option(\"header\", \"true\")\n      .save(\"path\/to\/save\")\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728DataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370DataFrame\u7684\u5185\u5bb9\u3002\u7136\u540e\uff0c\u5b83\u4f7f\u7528write\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86SaveMode.Overwrite\u9009\u9879\uff0c\u8868\u793a\u5982\u679c\u6587\u4ef6\u5df2\u7ecf\u5b58\u5728\uff0c\u5219\u8986\u76d6\u73b0\u6709\u6587\u4ef6\u3002\u8fd8\u53ef\u4ee5\u4f7f\u7528SaveMode.Append\u9009\u9879\u5c06DataFrame\u8ffd\u52a0\u5230\u73b0\u6709\u6587\u4ef6\u4e2d\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cCSV\u6587\u4ef6\u7684\u8bfb\u53d6\u548c\u5199\u5165\u4f7f\u7528\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u6838\u5fc3\u6982\u5ff5DataFrame\u5982\u4f55\u8bfb\u5199parquet\u6587\u4ef6<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark\u7684DataFrame API\u63d0\u4f9b\u4e86\u4e00\u7ec4\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Parquet\u6587\u4ef6\u7684\u65b9\u6cd5\uff0c\u4f7f\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06Parquet\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u5e76\u5c06DataFrame\u4fdd\u5b58\u4e3aParquet\u683c\u5f0f\u3002<\/p>\n\n\n\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528Spark DataFrame API\u8bfb\u53d6\u548c\u5199\u5165Parquet\u6587\u4ef6\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.sql.{DataFrame, SaveMode, SparkSession}\n\nobject ParquetExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"ParquetExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    \/\/ \u8bfb\u53d6Parquet\u6587\u4ef6\u5230DataFrame\n    val df: DataFrame = spark.read\n      .parquet(\"path\/to\/file.parquet\")\n\n    \/\/ \u663e\u793aDataFrame\n    df.show()\n\n    \/\/ \u5c06DataFrame\u4fdd\u5b58\u4e3aParquet\u6587\u4ef6\n    df.write\n      .mode(SaveMode.Overwrite)\n      .parquet(\"path\/to\/save\")\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u9762\u7684\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceParquet\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728DataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370DataFrame\u7684\u5185\u5bb9\u3002\u7136\u540e\uff0c\u5b83\u4f7f\u7528write\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u4e3aParquet\u6587\u4ef6\u3002\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86SaveMode.Overwrite\u9009\u9879\uff0c\u8868\u793a\u5982\u679c\u6587\u4ef6\u5df2\u7ecf\u5b58\u5728\uff0c\u5219\u8986\u76d6\u73b0\u6709\u6587\u4ef6\u3002\u8fd8\u53ef\u4ee5\u4f7f\u7528SaveMode.Append\u9009\u9879\u5c06DataFrame\u8ffd\u52a0\u5230\u73b0\u6709\u6587\u4ef6\u4e2d\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cParquet\u6587\u4ef6\u7684\u8bfb\u53d6\u548c\u5199\u5165\u4f7f\u7528\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark Streaming<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark Streaming\u662fSpark\u4e2d\u7684\u4e00\u4e2a\u7ec4\u4ef6\uff0c\u7528\u4e8e\u5b9e\u65f6\u5904\u7406\u6d41\u5f0f\u6570\u636e\u3002Spark Streaming\u5141\u8bb8\u60a8\u4f7f\u7528\u9ad8\u7ea7\u62bd\u8c61\u6765\u5904\u7406\u6570\u636e\u6d41\uff0c\u4f8b\u5982DStream\uff08\u79bb\u6563\u6d41\uff09\u548c\u7a97\u53e3\u64cd\u4f5c\u3002\u5b83\u5c06\u5b9e\u65f6\u6570\u636e\u6d41\u5206\u89e3\u4e3a\u4e00\u7cfb\u5217\u5c0f\u6279\u6b21\uff08batch\uff09\uff0c\u5e76\u5bf9\u6bcf\u4e2a\u6279\u6b21\u8fdb\u884c\u5904\u7406\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bSpark Streaming\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>DStream\uff1aDStream\uff08\u79bb\u6563\u6d41\uff09\u662fSpark Streaming\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\uff0c\u5b83\u8868\u793a\u8fde\u7eed\u7684\u6570\u636e\u6d41\uff0c\u7c7b\u4f3c\u4e8e\u4e00\u7cfb\u5217RDD\u3002\u6bcf\u4e2aDStream\u90fd\u7531\u4e00\u4e2a\u6216\u591a\u4e2a\u6279\u6b21\uff08batch\uff09\u7ec4\u6210\uff0c\u6bcf\u4e2a\u6279\u6b21\u90fd\u5305\u542b\u4e00\u5b9a\u91cf\u7684\u6570\u636e\u3002<\/li>\n\n\n\n<li>\u8f93\u5165\u6e90\uff1a\u8f93\u5165\u6e90\u662fSpark Streaming\u7684\u6570\u636e\u6765\u6e90\u3002Spark Streaming\u652f\u6301\u591a\u79cd\u8f93\u5165\u6e90\uff0c\u5305\u62ecKafka\uff0cFlume\u548cTCP\u5957\u63a5\u5b57\u7b49\u3002<\/li>\n\n\n\n<li>\u8f6c\u6362\u64cd\u4f5c\uff1a\u8f6c\u6362\u64cd\u4f5c\u662fSpark Streaming\u7684\u6838\u5fc3\u64cd\u4f5c\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u60a8\u4f7f\u7528DStream API\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u4f8b\u5982\uff0cmap\uff0cfilter\u548creduceByKey\u7b49\u64cd\u4f5c\u3002<\/li>\n\n\n\n<li>\u8f93\u51fa\u64cd\u4f5c\uff1a\u8f93\u51fa\u64cd\u4f5c\u5141\u8bb8\u60a8\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u53d1\u9001\u5230\u5916\u90e8\u7cfb\u7edf\uff0c\u4f8b\u5982Hadoop Distributed File System\uff08HDFS\uff09\u548cApache Kafka\u3002<\/li>\n\n\n\n<li>\u7a97\u53e3\u64cd\u4f5c\uff1a\u7a97\u53e3\u64cd\u4f5c\u5141\u8bb8\u60a8\u5bf9\u8fde\u7eed\u7684\u6570\u636e\u6d41\u6267\u884c\u6ed1\u52a8\u7a97\u53e3\u64cd\u4f5c\u3002\u8fd9\u4f7f\u5f97\u60a8\u53ef\u4ee5\u5bf9\u6700\u8fd1\u7684\u6570\u636e\u6267\u884c\u805a\u5408\u64cd\u4f5c\uff0c\u5e76\u5bf9\u7ed3\u679c\u8fdb\u884c\u5904\u7406\u3002<\/li>\n<\/ol>\n\n\n\n<p>Spark Streaming\u662f\u57fa\u4e8e\u6279\u6b21\u5904\u7406\u7684\uff0c\u6bcf\u4e2a\u6279\u6b21\u90fd\u5305\u542b\u4e00\u5b9a\u91cf\u7684\u6570\u636e\u3002\u5728Spark Streaming\u4e2d\uff0c\u6bcf\u4e2a\u6279\u6b21\u90fd\u88ab\u89c6\u4e3a\u4e00\u4e2aRDD\uff0c\u5e76\u4f7f\u7528Spark\u7684\u5206\u5e03\u5f0f\u8ba1\u7b97\u5f15\u64ce\u8fdb\u884c\u5904\u7406\u3002\u8fd9\u79cd\u5904\u7406\u65b9\u5f0f\u4f7f\u5f97Spark Streaming\u80fd\u591f\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff0c\u5e76\u5b9e\u73b0\u5feb\u901f\u548c\u9ad8\u6548\u7684\u5b9e\u65f6\u5206\u6790\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark Streaming\u4eceTCP\u5957\u63a5\u5b57\u8bfb\u53d6\u6570\u636e\u5e76\u8fdb\u884c\u4e00\u4e9b\u64cd\u4f5c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.streaming.{Seconds, StreamingContext}\nimport org.apache.spark.SparkConf\n\nobject StreamingExample {\n  def main(args: Array[String]): Unit = {\n    val conf = new SparkConf().setAppName(\"StreamingExample\").setMaster(\"local[*]\")\n    val ssc = new StreamingContext(conf, Seconds(1))\n\n    val lines = ssc.socketTextStream(\"localhost\", 9999)\n    val words = lines.flatMap(_.split(\" \"))\n    val wordCounts = words.map((_, 1)).reduceByKey(_ + _)\n    wordCounts.print()\n\n    ssc.start()\n    ssc.awaitTermination()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkConf\u548cStreamingContext API\u521b\u5efa\u4e86\u4e00\u4e2aStreamingContext\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528socketTextStream\u65b9\u6cd5\u4ece\u672c\u5730TCP\u5957\u63a5\u5b57\u8bfb\u53d6\u6570\u636e\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528flatMap\u548cmap\u7b49\u64cd\u4f5c\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528print\u65b9\u6cd5\u5c06\u7ed3\u679c\u6253\u5370\u51fa\u6765\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cSpark Streaming\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark MLlib<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark MLlib\u662fSpark\u4e2d\u7684\u4e00\u4e2a\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u7ec4\u5de5\u5177\u548c\u7b97\u6cd5\uff0c\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u7684\u673a\u5668\u5b66\u4e60\u95ee\u9898\u3002Spark MLlib\u4e2d\u7684\u7b97\u6cd5\u53ef\u4ee5\u5728\u5206\u5e03\u5f0f\u73af\u5883\u4e2d\u8fd0\u884c\uff0c\u8fd9\u4f7f\u5f97\u5b83\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bSpark MLlib\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u7c7b\u578b\uff1aSpark MLlib\u652f\u6301\u8bb8\u591a\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u5411\u91cf\uff0c\u6807\u7b7e\u548c\u6837\u672c\u7b49\u3002\u5411\u91cf\u662f\u6307\u5305\u542b\u4e00\u7ec4\u6570\u503c\u7684\u5411\u91cf\uff0c\u6807\u7b7e\u662f\u6307\u5206\u7c7b\u95ee\u9898\u4e2d\u7684\u7c7b\u522b\uff0c\u6837\u672c\u662f\u6307\u4e00\u7ec4\u6807\u7b7e\u548c\u76f8\u5e94\u7684\u7279\u5f81\u5411\u91cf\u3002<\/li>\n\n\n\n<li>\u7279\u5f81\u63d0\u53d6\uff1a\u7279\u5f81\u63d0\u53d6\u662fSpark MLlib\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u60a8\u4ece\u539f\u59cb\u6570\u636e\u4e2d\u63d0\u53d6\u6709\u610f\u4e49\u7684\u7279\u5f81\u3002Spark MLlib\u63d0\u4f9b\u4e86\u4e00\u7ec4\u7279\u5f81\u63d0\u53d6\u5de5\u5177\uff0c\u4f8b\u5982TF-IDF\u548cWord2Vec\u7b49\u3002<\/li>\n\n\n\n<li>\u6a21\u578b\u8bad\u7ec3\uff1aSpark MLlib\u4e2d\u5305\u542b\u4e86\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u4f8b\u5982\u7ebf\u6027\u56de\u5f52\uff0c\u903b\u8f91\u56de\u5f52\uff0c\u51b3\u7b56\u6811\u548c\u652f\u6301\u5411\u91cf\u673a\u7b49\u3002\u8fd9\u4e9b\u7b97\u6cd5\u53ef\u4ee5\u5728\u5206\u5e03\u5f0f\u73af\u5883\u4e2d\u8fdb\u884c\u8bad\u7ec3\uff0c\u4ee5\u4fbf\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n<li>\u6a21\u578b\u8bc4\u4f30\uff1aSpark MLlib\u4e2d\u63d0\u4f9b\u4e86\u4e00\u7ec4\u8bc4\u4f30\u5de5\u5177\uff0c\u7528\u4e8e\u8bc4\u4f30\u8bad\u7ec3\u51fa\u7684\u6a21\u578b\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u4ea4\u53c9\u9a8c\u8bc1\u548cROC\u66f2\u7ebf\u7b49\u5de5\u5177\u6765\u8bc4\u4f30\u5206\u7c7b\u5668\u7684\u6027\u80fd\u3002<\/li>\n<\/ol>\n\n\n\n<p>Spark MLlib\u7684\u4e3b\u8981\u76ee\u6807\u662f\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u673a\u5668\u5b66\u4e60\u5de5\u5177\uff0c\u540c\u65f6\u652f\u6301\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark MLlib\u4e2d\u7684\u7b97\u6cd5\u548c\u5de5\u5177\u90fd\u4f7f\u7528RDD\u548cDataFrame\u7b49Spark\u6838\u5fc3\u6982\u5ff5\u6765\u5b9e\u73b0\uff0c\u4ece\u800c\u5141\u8bb8\u60a8\u5728\u4e00\u4e2a\u7edf\u4e00\u7684\u7f16\u7a0b\u73af\u5883\u4e2d\u5904\u7406\u673a\u5668\u5b66\u4e60\u95ee\u9898\u548c\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark MLlib\u4e2d\u7684\u903b\u8f91\u56de\u5f52\u7b97\u6cd5\u5bf9\u6570\u636e\u8fdb\u884c\u8bad\u7ec3\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.ml.classification.LogisticRegression\nimport org.apache.spark.ml.evaluation.BinaryClassificationEvaluator\nimport org.apache.spark.ml.feature.VectorAssembler\nimport org.apache.spark.sql.SparkSession\n\nobject MLlibExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"MLlibExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    \/\/ \u8bfb\u53d6\u6570\u636e\u96c6\n    val data = spark.read\n      .option(\"header\", \"true\")\n      .option(\"inferSchema\", \"true\")\n      .csv(\"path\/to\/data.csv\")\n\n    \/\/ \u5408\u5e76\u7279\u5f81\u5217\n    val assembler = new VectorAssembler()\n      .setInputCols(Array(\"col1\", \"col2\", \"col3\"))\n      .setOutputCol(\"features\")\n\n    val df = assembler.transform(data).select(\"features\", \"label\")\n\n    \/\/ \u5212\u5206\u6570\u636e\u96c6\n    val Array(trainingData, testData) = df.randomSplit(Array(0.7, 0.3), seed = 1234)\n\n    \/\/ \u8bad\u7ec3\u903b\u8f91\u56de\u5f52\n<\/code><\/pre>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark GraphX<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark GraphX\u662fSpark\u4e2d\u7684\u4e00\u4e2a\u56fe\u5904\u7406\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u7ec4\u5de5\u5177\u548c\u7b97\u6cd5\uff0c\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u7684\u56fe\u6570\u636e\u96c6\u3002Spark GraphX\u4e2d\u7684\u7b97\u6cd5\u53ef\u4ee5\u5728\u5206\u5e03\u5f0f\u73af\u5883\u4e2d\u8fd0\u884c\uff0c\u8fd9\u4f7f\u5f97\u5b83\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u5927\u89c4\u6a21\u56fe\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bSpark GraphX\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u56fe\uff1a\u56fe\u662fSpark GraphX\u7684\u6838\u5fc3\u6982\u5ff5\u4e4b\u4e00\uff0c\u5b83\u7531\u4e00\u7ec4\u9876\u70b9\u548c\u4e00\u7ec4\u8fb9\u7ec4\u6210\u3002\u6bcf\u4e2a\u9876\u70b9\u90fd\u6709\u4e00\u4e2a\u552f\u4e00\u7684\u6807\u8bc6\u7b26\uff0c\u6bcf\u6761\u8fb9\u90fd\u8fde\u63a5\u4e24\u4e2a\u9876\u70b9\u3002<\/li>\n\n\n\n<li>\u5c5e\u6027\u56fe\uff1a\u5c5e\u6027\u56fe\u662f\u4e00\u79cd\u6269\u5c55\u7684\u56fe\uff0c\u5b83\u5141\u8bb8\u6bcf\u4e2a\u9876\u70b9\u548c\u6bcf\u6761\u8fb9\u90fd\u6709\u4e00\u4e2a\u5c5e\u6027\u503c\u3002\u8fd9\u4f7f\u5f97\u60a8\u53ef\u4ee5\u5c06\u66f4\u591a\u7684\u4fe1\u606f\u5b58\u50a8\u5728\u56fe\u4e2d\uff0c\u4f8b\u5982\u7528\u6237\u548c\u4ea7\u54c1\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/li>\n\n\n\n<li>\u8f6c\u6362\u64cd\u4f5c\uff1a\u8f6c\u6362\u64cd\u4f5c\u662fSpark GraphX\u7684\u6838\u5fc3\u64cd\u4f5c\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u60a8\u4f7f\u7528GraphX API\u5bf9\u56fe\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u4f8b\u5982\uff0cmapVertices\uff0cmapEdges\u548csubgraph\u7b49\u64cd\u4f5c\u3002<\/li>\n\n\n\n<li>\u8ba1\u7b97\u64cd\u4f5c\uff1a\u8ba1\u7b97\u64cd\u4f5c\u662fSpark GraphX\u7684\u6838\u5fc3\u64cd\u4f5c\u4e4b\u4e00\uff0c\u5b83\u5141\u8bb8\u60a8\u5bf9\u56fe\u6267\u884c\u4e00\u4e9b\u8ba1\u7b97\uff0c\u4f8b\u5982PageRank\uff0c\u56fe\u5f62\u805a\u7c7b\u548c\u8fde\u901a\u6027\u5206\u6790\u7b49\u3002<\/li>\n\n\n\n<li>\u53ef\u89c6\u5316\uff1aSpark GraphX\u4e2d\u63d0\u4f9b\u4e86\u4e00\u4e9b\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u7528\u4e8e\u5e2e\u52a9\u60a8\u53ef\u89c6\u5316\u56fe\u5f62\u6570\u636e\u3002<\/li>\n<\/ol>\n\n\n\n<p>Spark GraphX\u7684\u4e3b\u8981\u76ee\u6807\u662f\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u56fe\u5904\u7406\u5de5\u5177\uff0c\u540c\u65f6\u652f\u6301\u5927\u89c4\u6a21\u56fe\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark GraphX\u4e2d\u7684\u7b97\u6cd5\u548c\u5de5\u5177\u90fd\u4f7f\u7528RDD\u548cDataFrame\u7b49Spark\u6838\u5fc3\u6982\u5ff5\u6765\u5b9e\u73b0\uff0c\u4ece\u800c\u5141\u8bb8\u60a8\u5728\u4e00\u4e2a\u7edf\u4e00\u7684\u7f16\u7a0b\u73af\u5883\u4e2d\u5904\u7406\u56fe\u5f62\u95ee\u9898\u548c\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark GraphX\u8ba1\u7b97\u56fe\u4e2d\u6bcf\u4e2a\u9876\u70b9\u7684PageRank\u503c\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.graphx.GraphLoader\nimport org.apache.spark.sql.SparkSession\n\nobject GraphXExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"GraphXExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    \/\/ \u8bfb\u53d6\u56fe\u6570\u636e\n    val graph = GraphLoader.edgeListFile(spark.sparkContext, \"path\/to\/graph.txt\")\n\n    \/\/ \u8ba1\u7b97PageRank\u503c\n    val ranks = graph.pageRank(0.0001).vertices\n\n    \/\/ \u663e\u793a\u524d10\u4e2aPageRank\u503c\n    ranks.sortBy(_._2, ascending = false).take(10).foreach(println)\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528GraphLoader API\u4ece\u8fb9\u5217\u8868\u6587\u4ef6\u4e2d\u8bfb\u53d6\u56fe\u5f62\u6570\u636e\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528pageRank\u65b9\u6cd5\u8ba1\u7b97\u6bcf\u4e2a\u9876\u70b9\u7684PageRank\u503c\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728ranks\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528sortBy\u65b9\u6cd5\u5c06PageRank\u503c\u8fdb\u884c\u6392\u5e8f\uff0c\u5e76\u4f7f\u7528take\u65b9\u6cd5\u663e\u793a\u524d10\u4e2aPageRank\u503c\u3002<\/p>\n\n\n\n<p>\u8bf7\u6ce8\u610f\uff0c\u5728Python\u4e2d\uff0cSpark GraphX\u7684API\u4e0eScala\u4e2d\u7684\u7565\u6709\u4e0d\u540c\uff0c\u4f46\u57fa\u672c\u6982\u5ff5\u76f8\u540c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u7f16\u7a0b\u8bed\u8a00Scala<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Scala\u662f\u4e00\u79cd\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\uff0c\u662fSpark\u7684\u9996\u9009\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\u3002Scala\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u540c\u65f6\u5177\u6709\u9762\u5411\u5bf9\u8c61\u548c\u51fd\u6570\u5f0f\u7f16\u7a0b\u7684\u7279\u6027\u3002Scala\u4e0eJava\u8bed\u8a00\u9ad8\u5ea6\u517c\u5bb9\uff0c\u56e0\u6b64\u53ef\u4ee5\u4e0eJava\u5e93\u548c\u6846\u67b6\u65e0\u7f1d\u96c6\u6210\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bScala\u8bed\u8a00\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u7c7b\u548c\u5bf9\u8c61\uff1aScala\u662f\u4e00\u79cd\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u652f\u6301\u7c7b\u548c\u5bf9\u8c61\u7684\u5b9a\u4e49\u3002\u7c7b\u662f\u6307\u4e00\u7ec4\u5177\u6709\u76f8\u4f3c\u5c5e\u6027\u548c\u65b9\u6cd5\u7684\u5bf9\u8c61\uff0c\u800c\u5bf9\u8c61\u5219\u662f\u7c7b\u7684\u4e00\u4e2a\u5b9e\u4f8b\u3002<\/li>\n\n\n\n<li>\u51fd\u6570\u548c\u95ed\u5305\uff1aScala\u652f\u6301\u51fd\u6570\u5f0f\u7f16\u7a0b\u7684\u7279\u6027\uff0c\u4f8b\u5982\u51fd\u6570\u548c\u95ed\u5305\u7b49\u3002\u51fd\u6570\u662f\u6307\u4e00\u7ec4\u6267\u884c\u7279\u5b9a\u4efb\u52a1\u7684\u8bed\u53e5\uff0c\u95ed\u5305\u662f\u6307\u4e00\u4e2a\u51fd\u6570\u548c\u5176\u5f15\u7528\u7684\u53d8\u91cf\u96c6\u5408\u3002<\/li>\n\n\n\n<li>\u6a21\u5f0f\u5339\u914d\uff1aScala\u652f\u6301\u6a21\u5f0f\u5339\u914d\u7684\u7279\u6027\uff0c\u5b83\u5141\u8bb8\u60a8\u68c0\u67e5\u6570\u636e\u7c7b\u578b\u548c\u7ed3\u6784\uff0c\u5e76\u6839\u636e\u4e0d\u540c\u7684\u60c5\u51b5\u91c7\u53d6\u4e0d\u540c\u7684\u64cd\u4f5c\u3002<\/li>\n\n\n\n<li>\u9ad8\u9636\u51fd\u6570\uff1aScala\u652f\u6301\u9ad8\u9636\u51fd\u6570\u7684\u7279\u6027\uff0c\u5b83\u5141\u8bb8\u60a8\u5c06\u51fd\u6570\u4f5c\u4e3a\u53c2\u6570\u4f20\u9012\u7ed9\u5176\u4ed6\u51fd\u6570\uff0c\u5e76\u4ece\u5176\u4ed6\u51fd\u6570\u4e2d\u8fd4\u56de\u51fd\u6570\u3002<\/li>\n\n\n\n<li>\u4e0d\u53ef\u53d8\u6027\uff1aScala\u652f\u6301\u4e0d\u53ef\u53d8\u6027\u7684\u7279\u6027\uff0c\u5b83\u9f13\u52b1\u4f7f\u7528\u4e0d\u53ef\u53d8\u5bf9\u8c61\u6765\u907f\u514d\u5e76\u53d1\u95ee\u9898\u548c\u6570\u636e\u7ade\u4e89\u3002<\/li>\n<\/ol>\n\n\n\n<p>Scala\u662f\u4e00\u79cd\u529f\u80fd\u5f3a\u5927\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark\u7684Scala API\u4f7f\u7528\u4e86Scala\u7684\u6838\u5fc3\u6982\u5ff5\uff0c\u4f8b\u5982\u7c7b\uff0c\u5bf9\u8c61\u548c\u51fd\u6570\u7b49\uff0c\u4ee5\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u7f16\u7a0b\u63a5\u53e3\u548c\u4e30\u5bcc\u7684\u529f\u80fd\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Scala\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark SQL API\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">scalaCopy code<code>import org.apache.spark.sql.SparkSession\n\nobject ScalaExample {\n  def main(args: Array[String]): Unit = {\n    val spark = SparkSession.builder()\n      .appName(\"ScalaExample\")\n      .master(\"local[*]\")\n      .getOrCreate()\n\n    \/\/ \u8bfb\u53d6CSV\u6587\u4ef6\u5230DataFrame\n    val df = spark.read\n      .option(\"header\", \"true\")\n      .csv(\"path\/to\/file.csv\")\n\n    \/\/ \u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\n    val wordCounts = df.select(\"text\")\n      .rdd.flatMap(_.getString(0).split(\" \"))\n      .map(word =&gt; (word, 1))\n      .reduceByKey(_ + _)\n\n    \/\/ \u663e\u793a\u7ed3\u679c\n    wordCounts.foreach(println)\n\n    spark.stop()\n  }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728DataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528flatMap\u548cmap\u7b49\u64cd\u4f5c\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528reduceByKey\u65b9\u6cd5\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728wordCounts\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528foreach\u65b9\u6cd5\u6253\u5370\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>Scala\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u8fd9\u4f7f\u5f97\u5b83\u6210\u4e3a\u4f7f\u7528Spark\u7f16\u7a0b\u7684\u4e00\u79cd\u7406\u60f3<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u7f16\u7a0b\u8bed\u8a00Java<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Java\u662f\u4e00\u79cd\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u662fSpark\u7684\u53e6\u4e00\u4e2a\u4e3b\u8981\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\u3002Java\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u5e76\u4e14\u5177\u6709\u5f3a\u5927\u7684\u7c7b\u578b\u68c0\u67e5\u548c\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bJava\u8bed\u8a00\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u7c7b\u548c\u5bf9\u8c61\uff1aJava\u662f\u4e00\u79cd\u9762\u5411\u5bf9\u8c61\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u652f\u6301\u7c7b\u548c\u5bf9\u8c61\u7684\u5b9a\u4e49\u3002\u7c7b\u662f\u6307\u4e00\u7ec4\u5177\u6709\u76f8\u4f3c\u5c5e\u6027\u548c\u65b9\u6cd5\u7684\u5bf9\u8c61\uff0c\u800c\u5bf9\u8c61\u5219\u662f\u7c7b\u7684\u4e00\u4e2a\u5b9e\u4f8b\u3002<\/li>\n\n\n\n<li>\u63a5\u53e3\uff1aJava\u652f\u6301\u63a5\u53e3\u7684\u5b9a\u4e49\uff0c\u63a5\u53e3\u662f\u6307\u4e00\u7ec4\u65b9\u6cd5\u7684\u58f0\u660e\uff0c\u4f46\u6ca1\u6709\u5b9e\u73b0\u3002<\/li>\n\n\n\n<li>\u5305\uff1aJava\u652f\u6301\u5305\u7684\u5b9a\u4e49\uff0c\u5b83\u5141\u8bb8\u60a8\u5c06\u76f8\u5173\u7684\u7c7b\u548c\u63a5\u53e3\u7ec4\u7ec7\u5728\u4e00\u8d77\uff0c\u5e76\u63d0\u4f9b\u66f4\u597d\u7684\u547d\u540d\u7a7a\u95f4\u7ba1\u7406\u3002<\/li>\n\n\n\n<li>\u5f02\u5e38\u5904\u7406\uff1aJava\u652f\u6301\u5f02\u5e38\u5904\u7406\u7684\u7279\u6027\uff0c\u5b83\u5141\u8bb8\u60a8\u5728\u7a0b\u5e8f\u8fd0\u884c\u65f6\u5904\u7406\u9519\u8bef\u548c\u5f02\u5e38\u60c5\u51b5\u3002<\/li>\n\n\n\n<li>\u591a\u7ebf\u7a0b\uff1aJava\u652f\u6301\u591a\u7ebf\u7a0b\u7f16\u7a0b\u7684\u7279\u6027\uff0c\u5b83\u5141\u8bb8\u60a8\u540c\u65f6\u6267\u884c\u591a\u4e2a\u7ebf\u7a0b\u5e76\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6027\u80fd\u3002<\/li>\n<\/ol>\n\n\n\n<p>Java\u662f\u4e00\u79cd\u6d41\u884c\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark\u7684Java API\u4f7f\u7528\u4e86Java\u7684\u6838\u5fc3\u6982\u5ff5\uff0c\u4f8b\u5982\u7c7b\uff0c\u5bf9\u8c61\u548c\u63a5\u53e3\u7b49\uff0c\u4ee5\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u7f16\u7a0b\u63a5\u53e3\u548c\u4e30\u5bcc\u7684\u529f\u80fd\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Java\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark SQL API\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">javaCopy code<code>import org.apache.spark.sql.Dataset;\nimport org.apache.spark.sql.Row;\nimport org.apache.spark.sql.SparkSession;\n\npublic class JavaExample {\n    public static void main(String[] args) {\n        SparkSession spark = SparkSession.builder()\n                .appName(\"JavaExample\")\n                .master(\"local[*]\")\n                .getOrCreate();\n\n        \/\/ \u8bfb\u53d6CSV\u6587\u4ef6\u5230Dataset\n        Dataset&lt;Row&gt; df = spark.read()\n                .option(\"header\", \"true\")\n                .csv(\"path\/to\/file.csv\");\n\n        \/\/ \u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\n        Dataset&lt;Row&gt; wordCounts = df.select(\"text\")\n                .flatMap(row -&gt; Arrays.asList(row.getString(0).split(\" \")).iterator(), Encoders.STRING())\n                .groupBy(\"value\")\n                .count();\n\n        \/\/ \u663e\u793a\u7ed3\u679c\n        wordCounts.show();\n\n        spark.stop();\n    }\n}\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728Dataset\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528flatMap\u548cgroupBy\u7b49\u64cd\u4f5c\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>Java\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u5e76\u4e14\u5177\u6709\u5f3a\u5927\u7684\u7c7b\u578b\u68c0\u67e5\u548c\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3002\u8fd9\u4f7f\u5f97\u5b83\u6210\u4e3a\u4f7f\u7528Spark\u7f16\u7a0b\u7684\u4e00\u79cd\u7406\u60f3\u9009\u62e9\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u7f16\u7a0b\u8bed\u8a00Python<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Python\u662f\u4e00\u79cd\u7b80\u5355\u6613\u5b66\u3001\u9ad8\u7ea7\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u662fSpark\u7684\u53e6\u4e00\u4e2a\u4e3b\u8981\u7f16\u7a0b\u8bed\u8a00\u4e4b\u4e00\u3002Python\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u5e76\u4e14\u5177\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9bPython\u8bed\u8a00\u7684\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u53d8\u91cf\u548c\u6570\u636e\u7c7b\u578b\uff1aPython\u652f\u6301\u5404\u79cd\u4e0d\u540c\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4f8b\u5982\u5b57\u7b26\u4e32\u3001\u6570\u5b57\u548c\u5217\u8868\u7b49\u3002\u53d8\u91cf\u7528\u4e8e\u5b58\u50a8\u8fd9\u4e9b\u6570\u636e\u7c7b\u578b\u7684\u503c\u3002<\/li>\n\n\n\n<li>\u51fd\u6570\u548c\u6a21\u5757\uff1aPython\u652f\u6301\u51fd\u6570\u7684\u5b9a\u4e49\u548c\u8c03\u7528\uff0c\u51fd\u6570\u662f\u6307\u4e00\u7ec4\u6267\u884c\u7279\u5b9a\u4efb\u52a1\u7684\u8bed\u53e5\u3002Python\u8fd8\u652f\u6301\u6a21\u5757\u7684\u5bfc\u5165\u548c\u4f7f\u7528\uff0c\u6a21\u5757\u662f\u6307\u4e00\u7ec4\u76f8\u5173\u7684\u51fd\u6570\u548c\u53d8\u91cf\u3002<\/li>\n\n\n\n<li>\u6761\u4ef6\u8bed\u53e5\u548c\u5faa\u73af\u8bed\u53e5\uff1aPython\u652f\u6301\u6761\u4ef6\u8bed\u53e5\u548c\u5faa\u73af\u8bed\u53e5\uff0c\u5b83\u4eec\u5141\u8bb8\u60a8\u6839\u636e\u4e0d\u540c\u7684\u6761\u4ef6\u91c7\u53d6\u4e0d\u540c\u7684\u64cd\u4f5c\uff0c\u5e76\u91cd\u590d\u6267\u884c\u7279\u5b9a\u7684\u4ee3\u7801\u5757\u3002<\/li>\n\n\n\n<li>\u5f02\u5e38\u5904\u7406\uff1aPython\u652f\u6301\u5f02\u5e38\u5904\u7406\u7684\u7279\u6027\uff0c\u5b83\u5141\u8bb8\u60a8\u5728\u7a0b\u5e8f\u8fd0\u884c\u65f6\u5904\u7406\u9519\u8bef\u548c\u5f02\u5e38\u60c5\u51b5\u3002<\/li>\n\n\n\n<li>\u5217\u8868\u63a8\u5bfc\u5f0f\u548c\u751f\u6210\u5668\uff1aPython\u652f\u6301\u5217\u8868\u63a8\u5bfc\u5f0f\u548c\u751f\u6210\u5668\u7684\u7279\u6027\uff0c\u5b83\u4eec\u5141\u8bb8\u60a8\u5feb\u901f\u521b\u5efa\u5217\u8868\u548c\u751f\u6210\u5668\uff0c\u5e76\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/li>\n<\/ol>\n\n\n\n<p>Python\u662f\u4e00\u79cd\u6d41\u884c\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark\u7684Python API\u4f7f\u7528\u4e86Python\u7684\u6838\u5fc3\u6982\u5ff5\uff0c\u4f8b\u5982\u53d8\u91cf\u3001\u51fd\u6570\u548c\u6a21\u5757\u7b49\uff0c\u4ee5\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u7f16\u7a0b\u63a5\u53e3\u548c\u4e30\u5bcc\u7684\u529f\u80fd\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684Python\u7a0b\u5e8f\uff0c\u5b83\u4f7f\u7528Spark SQL API\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from pyspark.sql import SparkSession\n\nspark = SparkSession.builder \\\n    .appName(\"PythonExample\") \\\n    .master(\"local[*]\") \\\n    .getOrCreate()\n\n# \u8bfb\u53d6CSV\u6587\u4ef6\u5230DataFrame\ndf = spark.read \\\n    .option(\"header\", \"true\") \\\n    .csv(\"path\/to\/file.csv\")\n\n# \u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\nword_counts = df.select(\"text\") \\\n    .rdd.flatMap(lambda row: row[0].split(\" \")) \\\n    .map(lambda word: (word, 1)) \\\n    .reduceByKey(lambda a, b: a + b) \\\n    .toDF([\"word\", \"count\"])\n\n# \u663e\u793a\u7ed3\u679c\nword_counts.show()\n\nspark.stop()\n<\/code><\/pre>\n\n\n\n<p>\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528SparkSession API\u521b\u5efa\u4e86\u4e00\u4e2aSparkSession\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528read\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728DataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u5b83\u4f7f\u7528flatMap\u548cmap\u7b49\u64cd\u4f5c\u6765\u5bf9\u6570\u636e\u8fdb\u884c\u8f6c\u6362\u548c\u5904\u7406\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528reduceByKey\u548ctoDF\u7b49\u64cd\u4f5c\u8ba1\u7b97\u6bcf\u4e2a\u5355\u8bcd\u7684\u51fa\u73b0\u6b21\u6570\uff0c\u5e76\u5c06\u7ed3\u679c\u4fdd\u5b58\u5728word_counts\u53d8\u91cf\u4e2d\u3002\u6700\u540e\uff0c\u5b83\u4f7f\u7528show\u65b9\u6cd5\u6253\u5370\u7ed3\u679c\u3002<\/p>\n\n\n\n<p>Python\u7684\u8bed\u6cd5\u7b80\u6d01\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u5e76\u4e14\u5177\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3002\u8fd9\u4f7f\u5f97\u5b83\u6210\u4e3a\u4f7f\u7528Spark\u7f16\u7a0b\u7684\u4e00\u79cd\u7406\u60f3\u9009\u62e9\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u96c6\u7fa4\u67b6\u6784Spark Standalone<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark Standalone\u662fSpark\u7684\u4e00\u79cd\u96c6\u7fa4\u7ba1\u7406\u6a21\u5f0f\uff0c\u5b83\u5141\u8bb8\u60a8\u5728\u4e00\u4e2a\u72ec\u7acb\u7684\u96c6\u7fa4\u4e0a\u8fd0\u884cSpark\u5e94\u7528\u7a0b\u5e8f\u3002Spark Standalone\u63d0\u4f9b\u4e86\u7b80\u5355\u800c\u5f3a\u5927\u7684\u96c6\u7fa4\u7ba1\u7406\u529f\u80fd\uff0c\u5305\u62ec\u8d44\u6e90\u7ba1\u7406\u3001\u4efb\u52a1\u8c03\u5ea6\u548c\u76d1\u89c6\u7b49\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fSpark Standalone\u96c6\u7fa4\u67b6\u6784\u7684\u8be6\u7ec6\u89e3\u91ca\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u9a71\u52a8\u5668\u7a0b\u5e8f\uff1a\u9a71\u52a8\u5668\u7a0b\u5e8f\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u5165\u53e3\u70b9\uff0c\u5b83\u8d1f\u8d23\u5b9a\u4e49Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u8ba1\u7b97\u903b\u8f91\uff0c\u5e76\u5c06\u4efb\u52a1\u53d1\u9001\u5230\u96c6\u7fa4\u4e0a\u7684\u5de5\u4f5c\u8282\u70b9\u6267\u884c\u3002<\/li>\n\n\n\n<li>\u7fa4\u96c6\u7ba1\u7406\u5668\uff1a\u7fa4\u96c6\u7ba1\u7406\u5668\u662f\u8d1f\u8d23\u542f\u52a8\u548c\u505c\u6b62\u96c6\u7fa4\u4e0a\u7684Spark\u5e94\u7528\u7a0b\u5e8f\u548c\u5de5\u4f5c\u8282\u70b9\u7684\u8fdb\u7a0b\u3002Spark Standalone\u96c6\u7fa4\u7ba1\u7406\u5668\u4f7f\u7528Master\u548cWorker\u4e24\u79cd\u8fdb\u7a0b\uff0cMaster\u8d1f\u8d23\u5206\u914d\u4efb\u52a1\u548c\u7ba1\u7406\u96c6\u7fa4\u8d44\u6e90\uff0c\u800cWorker\u8d1f\u8d23\u6267\u884c\u4efb\u52a1\u5e76\u8fd4\u56de\u7ed3\u679c\u3002<\/li>\n\n\n\n<li>\u96c6\u7fa4\u8d44\u6e90\u7ba1\u7406\uff1a\u96c6\u7fa4\u8d44\u6e90\u7ba1\u7406\u662f\u8d1f\u8d23\u7ba1\u7406\u7fa4\u96c6\u4e2d\u7684\u8d44\u6e90\uff0c\u4f8b\u5982CPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u7b49\u3002Spark Standalone\u96c6\u7fa4\u8d44\u6e90\u7ba1\u7406\u4f7f\u7528\u4e24\u79cd\u8d44\u6e90\u5206\u914d\u6a21\u5f0f\uff0c\u9759\u6001\u5206\u914d\u548c\u52a8\u6001\u5206\u914d\u3002\u9759\u6001\u5206\u914d\u662f\u6307\u5728\u542f\u52a8\u5e94\u7528\u7a0b\u5e8f\u65f6\u5206\u914d\u8d44\u6e90\uff0c\u800c\u52a8\u6001\u5206\u914d\u662f\u6307\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u9700\u6c42\u5206\u914d\u8d44\u6e90\u3002<\/li>\n\n\n\n<li>\u4efb\u52a1\u8c03\u5ea6\uff1a\u4efb\u52a1\u8c03\u5ea6\u662f\u8d1f\u8d23\u5c06Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u4efb\u52a1\u5206\u914d\u5230\u96c6\u7fa4\u4e0a\u7684\u5de5\u4f5c\u8282\u70b9\u4e0a\u6267\u884c\u3002Spark Standalone\u96c6\u7fa4\u4f7f\u7528\u4e24\u79cd\u8c03\u5ea6\u6a21\u5f0f\uff0cFIFO\u8c03\u5ea6\u548cFAIR\u8c03\u5ea6\u3002FIFO\u8c03\u5ea6\u662f\u6307\u6309\u7167\u4efb\u52a1\u7684\u63d0\u4ea4\u987a\u5e8f\u6765\u6267\u884c\u4efb\u52a1\uff0c\u800cFAIR\u8c03\u5ea6\u662f\u6307\u6309\u7167\u4efb\u52a1\u7684\u4f18\u5148\u7ea7\u548c\u8d44\u6e90\u9700\u6c42\u6765\u6267\u884c\u4efb\u52a1\u3002<\/li>\n\n\n\n<li>\u76d1\u89c6\u548c\u65e5\u5fd7\u8bb0\u5f55\uff1a\u76d1\u89c6\u548c\u65e5\u5fd7\u8bb0\u5f55\u662f\u8d1f\u8d23\u76d1\u63a7\u96c6\u7fa4\u7684\u72b6\u6001\u548c\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\uff0c\u5e76\u8bb0\u5f55\u5e94\u7528\u7a0b\u5e8f\u7684\u65e5\u5fd7\u548c\u9519\u8bef\u4fe1\u606f\u3002Spark Standalone\u96c6\u7fa4\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u76d1\u89c6\u548c\u65e5\u5fd7\u8bb0\u5f55\u529f\u80fd\uff0c\u5305\u62ecWeb\u754c\u9762\u548c\u547d\u4ee4\u884c\u5de5\u5177\u7b49\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cSpark Standalone\u96c6\u7fa4\u67b6\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u800c\u5f3a\u5927\u7684\u96c6\u7fa4\u7ba1\u7406\u529f\u80fd\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Spark Standalone\u96c6\u7fa4\u7ba1\u7406\u5668\u548c\u7fa4\u96c6\u8d44\u6e90\u7ba1\u7406\u5668\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u7ba1\u7406\u754c\u9762\uff0c\u800c\u4efb\u52a1\u8c03\u5ea6\u548c\u76d1\u89c6\u7b49\u529f\u80fd\u5219\u4fdd\u8bc1\u4e86\u5e94\u7528\u7a0b\u5e8f\u7684\u9ad8\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u96c6\u7fa4\u67b6\u6784Hadoop YARN<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Hadoop YARN\u662f\u4e00\u4e2a\u5206\u5e03\u5f0f\u7684\u8d44\u6e90\u7ba1\u7406\u7cfb\u7edf\uff0c\u662fHadoop\u751f\u6001\u7cfb\u7edf\u7684\u6838\u5fc3\u7ec4\u4ef6\u4e4b\u4e00\u3002\u5b83\u5141\u8bb8\u60a8\u5728\u96c6\u7fa4\u4e2d\u5206\u914d\u8d44\u6e90\u548c\u7ba1\u7406\u4f5c\u4e1a\uff0c\u5e76\u652f\u6301\u591a\u79cd\u5e94\u7528\u7a0b\u5e8f\u6846\u67b6\uff0c\u5305\u62ecSpark\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fHadoop YARN\u96c6\u7fa4\u67b6\u6784\u7684\u8be6\u7ec6\u89e3\u91ca\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>ResourceManager\uff1aResourceManager\u662fYARN\u96c6\u7fa4\u4e2d\u7684\u4e2d\u5fc3\u8282\u70b9\uff0c\u5b83\u8d1f\u8d23\u7ba1\u7406\u548c\u5206\u914d\u96c6\u7fa4\u8d44\u6e90\u3002ResourceManager\u7ef4\u62a4\u4e86\u6574\u4e2a\u96c6\u7fa4\u7684\u8d44\u6e90\u72b6\u6001\uff0c\u5e76\u5c06\u8d44\u6e90\u5206\u914d\u7ed9\u5404\u4e2a\u5e94\u7528\u7a0b\u5e8f\u3002<\/li>\n\n\n\n<li>NodeManager\uff1aNodeManager\u662f\u6bcf\u4e2a\u5de5\u4f5c\u8282\u70b9\u4e0a\u7684YARN\u4ee3\u7406\uff0c\u5b83\u8d1f\u8d23\u7ba1\u7406\u672c\u5730\u8d44\u6e90\uff0c\u5305\u62ecCPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u7b49\u3002NodeManager\u8d1f\u8d23\u542f\u52a8\u548c\u505c\u6b62\u5bb9\u5668\uff0c\u5bb9\u5668\u662f\u6307\u4e00\u7ec4\u5173\u8054\u7684\u8fdb\u7a0b\uff0c\u5305\u62ec\u5e94\u7528\u7a0b\u5e8f\u548c\u76f8\u5173\u7684\u4f9d\u8d56\u9879\u3002<\/li>\n\n\n\n<li>ApplicationMaster\uff1aApplicationMaster\u662f\u6bcf\u4e2a\u5e94\u7528\u7a0b\u5e8f\u7684\u4e3b\u8282\u70b9\uff0c\u5b83\u8d1f\u8d23\u5728YARN\u96c6\u7fa4\u4e2d\u5206\u914d\u548c\u7ba1\u7406\u8d44\u6e90\uff0c\u4ee5\u53ca\u534f\u8c03\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u3002ApplicationMaster\u5728ResourceManager\u4e2d\u8bf7\u6c42\u8d44\u6e90\uff0c\u5e76\u4e0eNodeManager\u901a\u4fe1\u6765\u542f\u52a8\u548c\u505c\u6b62\u5bb9\u5668\u3002<\/li>\n\n\n\n<li>\u5bb9\u5668\uff1a\u5bb9\u5668\u662f\u6307\u4e00\u7ec4\u5173\u8054\u7684\u8fdb\u7a0b\uff0c\u5305\u62ec\u5e94\u7528\u7a0b\u5e8f\u548c\u76f8\u5173\u7684\u4f9d\u8d56\u9879\u3002YARN\u4f7f\u7528\u5bb9\u5668\u6765\u6267\u884c\u5e94\u7528\u7a0b\u5e8f\u548c\u7ba1\u7406\u8d44\u6e90\u3002\u5bb9\u5668\u7531NodeManager\u542f\u52a8\u5e76\u5728ApplicationMaster\u7684\u6307\u5bfc\u4e0b\u8fd0\u884c\u3002<\/li>\n\n\n\n<li>\u5bb9\u5668\u8c03\u5ea6\uff1a\u5bb9\u5668\u8c03\u5ea6\u662f\u6307\u5c06\u5bb9\u5668\u5206\u914d\u7ed9\u5de5\u4f5c\u8282\u70b9\u548c\u8d44\u6e90\u7684\u8fc7\u7a0b\u3002YARN\u4f7f\u7528\u8c03\u5ea6\u7b97\u6cd5\u6765\u51b3\u5b9a\u54ea\u4e9b\u5bb9\u5668\u5728\u54ea\u4e9b\u5de5\u4f5c\u8282\u70b9\u4e0a\u6267\u884c\uff0c\u5e76\u7ba1\u7406\u5bb9\u5668\u7684\u542f\u52a8\u548c\u505c\u6b62\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cHadoop YARN\u96c6\u7fa4\u67b6\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u800c\u7075\u6d3b\u7684\u8d44\u6e90\u7ba1\u7406\u7cfb\u7edf\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002ResourceManager\u548cNodeManager\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u8d44\u6e90\u7ba1\u7406\u529f\u80fd\uff0c\u800cApplicationMaster\u548c\u5bb9\u5668\u8c03\u5ea6\u7b49\u529f\u80fd\u5219\u4fdd\u8bc1\u4e86\u5e94\u7528\u7a0b\u5e8f\u7684\u9ad8\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002Spark\u901a\u8fc7YARN\u5ba2\u6237\u7aef\u652f\u6301\u5728YARN\u96c6\u7fa4\u4e0a\u8fd0\u884c\uff0c\u4ee5\u5229\u7528Hadoop\u751f\u6001\u7cfb\u7edf\u7684\u8d44\u6e90\u7ba1\u7406\u548c\u8c03\u5ea6\u529f\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u96c6\u7fa4\u67b6\u6784Apache Mesos<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Apache Mesos\u662f\u4e00\u4e2a\u901a\u7528\u7684\u96c6\u7fa4\u7ba1\u7406\u7cfb\u7edf\uff0c\u53ef\u7528\u4e8e\u7ba1\u7406\u5404\u79cd\u7c7b\u578b\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u5305\u62ecSpark\u3002Mesos\u901a\u8fc7\u5c06\u96c6\u7fa4\u8d44\u6e90\u6c60\u5316\u5e76\u52a8\u6001\u5206\u914d\u8d44\u6e90\uff0c\u63d0\u9ad8\u4e86\u96c6\u7fa4\u7684\u8d44\u6e90\u5229\u7528\u7387\u548c\u6027\u80fd\uff0c\u5e76\u652f\u6301\u591a\u4e2a\u5e94\u7528\u7a0b\u5e8f\u6846\u67b6\u7684\u5171\u5b58\u548c\u5171\u4eab\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fApache Mesos\u96c6\u7fa4\u67b6\u6784\u7684\u8be6\u7ec6\u89e3\u91ca\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Mesos Master\uff1aMesos Master\u662fMesos\u96c6\u7fa4\u7684\u4e2d\u5fc3\u8282\u70b9\uff0c\u5b83\u8d1f\u8d23\u7ba1\u7406\u548c\u5206\u914d\u96c6\u7fa4\u8d44\u6e90\u3002Mesos Master\u7ef4\u62a4\u4e86\u6574\u4e2a\u96c6\u7fa4\u7684\u8d44\u6e90\u72b6\u6001\uff0c\u5e76\u5c06\u8d44\u6e90\u5206\u914d\u7ed9\u5404\u4e2a\u5e94\u7528\u7a0b\u5e8f\u3002<\/li>\n\n\n\n<li>Mesos Agent\uff1aMesos Agent\u662f\u6bcf\u4e2a\u5de5\u4f5c\u8282\u70b9\u4e0a\u7684Mesos\u4ee3\u7406\uff0c\u5b83\u8d1f\u8d23\u7ba1\u7406\u672c\u5730\u8d44\u6e90\uff0c\u5305\u62ecCPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u7b49\u3002Mesos Agent\u8d1f\u8d23\u542f\u52a8\u548c\u505c\u6b62\u4efb\u52a1\uff0c\u5e76\u4e0eMesos Master\u901a\u4fe1\u6765\u63a5\u6536\u4efb\u52a1\u5206\u914d\u548c\u72b6\u6001\u66f4\u65b0\u3002<\/li>\n\n\n\n<li>Framework\uff1aFramework\u662f\u6307\u5728Mesos\u4e0a\u8fd0\u884c\u7684\u5e94\u7528\u7a0b\u5e8f\uff0c\u4f8b\u5982Spark\u3002Framework\u8d1f\u8d23\u5411Mesos Master\u8bf7\u6c42\u8d44\u6e90\uff0c\u5e76\u5c06\u4efb\u52a1\u5206\u914d\u7ed9Mesos Agent\u6267\u884c\u3002Framework\u8fd8\u8d1f\u8d23\u534f\u8c03\u4efb\u52a1\u7684\u6267\u884c\u548c\u76d1\u89c6\u5e94\u7528\u7a0b\u5e8f\u7684\u72b6\u6001\u3002<\/li>\n\n\n\n<li>\u4efb\u52a1\uff1a\u4efb\u52a1\u662f\u6307\u5728Mesos\u4e0a\u8fd0\u884c\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u5355\u5143\u3002\u6bcf\u4e2a\u4efb\u52a1\u7531Framework\u5206\u914d\u7ed9Mesos Agent\u6267\u884c\uff0c\u5e76\u53ef\u4ee5\u5305\u62ec\u4e00\u4e2a\u6216\u591a\u4e2a\u8fdb\u7a0b\u3002<\/li>\n\n\n\n<li>\u8d44\u6e90\u8c03\u5ea6\uff1a\u8d44\u6e90\u8c03\u5ea6\u662f\u6307\u5c06\u4efb\u52a1\u5206\u914d\u7ed9\u53ef\u7528\u7684Mesos Agent\u7684\u8fc7\u7a0b\u3002Mesos\u4f7f\u7528\u8c03\u5ea6\u7b97\u6cd5\u6765\u51b3\u5b9a\u54ea\u4e9b\u4efb\u52a1\u5728\u54ea\u4e9b\u5de5\u4f5c\u8282\u70b9\u4e0a\u6267\u884c\uff0c\u5e76\u7ba1\u7406\u4efb\u52a1\u7684\u542f\u52a8\u548c\u505c\u6b62\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cApache Mesos\u96c6\u7fa4\u67b6\u6784\u63d0\u4f9b\u4e86\u4e00\u4e2a\u901a\u7528\u800c\u7075\u6d3b\u7684\u96c6\u7fa4\u7ba1\u7406\u7cfb\u7edf\uff0c\u53ef\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002Mesos Master\u548cMesos Agent\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u8d44\u6e90\u7ba1\u7406\u529f\u80fd\uff0c\u800cFramework\u548c\u8d44\u6e90\u8c03\u5ea6\u7b49\u529f\u80fd\u5219\u4fdd\u8bc1\u4e86\u5e94\u7528\u7a0b\u5e8f\u7684\u9ad8\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002Spark\u901a\u8fc7Mesos\u5ba2\u6237\u7aef\u652f\u6301\u5728Mesos\u96c6\u7fa4\u4e0a\u8fd0\u884c\uff0c\u4ee5\u5229\u7528Mesos\u7684\u8d44\u6e90\u7ba1\u7406\u548c\u8c03\u5ea6\u529f\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u5e94\u7528\u7a0b\u5e8f\u751f\u547d\u5468\u671f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark\u5e94\u7528\u7a0b\u5e8f\u751f\u547d\u5468\u671f\u5305\u62ec\u56db\u4e2a\u9636\u6bb5\uff1a\u7f16\u5199\u3001\u6253\u5305\u3001\u63d0\u4ea4\u548c\u6267\u884c\u3002<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u7f16\u5199\uff1a\u5728\u7f16\u5199\u9636\u6bb5\uff0c\u60a8\u5c06\u4f7f\u7528Spark API\u7f16\u5199\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\uff0c\u5b9a\u4e49\u6570\u636e\u5904\u7406\u903b\u8f91\u548c\u64cd\u4f5c\u6d41\u7a0b\u3002Spark API\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u5305\u62ecScala\u3001Java\u548cPython\u7b49\u3002<\/li>\n\n\n\n<li>\u6253\u5305\uff1a\u5728\u6253\u5305\u9636\u6bb5\uff0c\u60a8\u5c06\u628a\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u6253\u5305\u6210\u4e00\u4e2a\u53ef\u6267\u884c\u7684JAR\u6587\u4ef6\u6216Python egg\u6587\u4ef6\uff0c\u4ee5\u4fbf\u5728Spark\u96c6\u7fa4\u4e0a\u8fd0\u884c\u3002\u6253\u5305\u8fc7\u7a0b\u5c06\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3001\u76f8\u5173\u7684\u5e93\u548c\u4f9d\u8d56\u9879\u7b49\u6253\u5305\u5728\u4e00\u8d77\uff0c\u4ee5\u4fbf\u4e8e\u90e8\u7f72\u548c\u8fd0\u884c\u3002<\/li>\n\n\n\n<li>\u63d0\u4ea4\uff1a\u5728\u63d0\u4ea4\u9636\u6bb5\uff0c\u60a8\u5c06\u4f7f\u7528Spark\u63d0\u4ea4\u811a\u672c\u6216\u547d\u4ee4\u884c\u5de5\u5177\u5c06\u6253\u5305\u597d\u7684\u5e94\u7528\u7a0b\u5e8f\u63d0\u4ea4\u5230Spark\u96c6\u7fa4\u4e0a\u3002\u63d0\u4ea4\u8fc7\u7a0b\u5c06\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3001\u914d\u7f6e\u4fe1\u606f\u548c\u547d\u4ee4\u884c\u53c2\u6570\u7b49\u53d1\u9001\u5230Spark\u96c6\u7fa4\u4e0a\uff0c\u5e76\u542f\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u3002<\/li>\n\n\n\n<li>\u6267\u884c\uff1a\u5728\u6267\u884c\u9636\u6bb5\uff0cSpark\u5c06\u542f\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\uff0c\u5e76\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u548c\u914d\u7f6e\u4fe1\u606f\u5728\u96c6\u7fa4\u4e0a\u5206\u914d\u8d44\u6e90\u548c\u6267\u884c\u4efb\u52a1\u3002Spark\u652f\u6301\u591a\u79cd\u5e94\u7528\u7a0b\u5e8f\u6846\u67b6\uff0c\u5305\u62ecSpark SQL\u3001Spark Streaming\u3001Spark MLlib\u548cSpark GraphX\u7b49\uff0c\u6bcf\u4e2a\u6846\u67b6\u90fd\u6709\u5176\u72ec\u7279\u7684\u6267\u884c\u8fc7\u7a0b\u548c\u8d44\u6e90\u7ba1\u7406\u673a\u5236\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cSpark\u5e94\u7528\u7a0b\u5e8f\u751f\u547d\u5468\u671f\u5305\u62ec\u7f16\u5199\u3001\u6253\u5305\u3001\u63d0\u4ea4\u548c\u6267\u884c\u56db\u4e2a\u9636\u6bb5\u3002\u6bcf\u4e2a\u9636\u6bb5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4efb\u52a1\u548c\u6b65\u9aa4\uff0c\u9700\u8981\u8c28\u614e\u5730\u89c4\u5212\u548c\u6267\u884c\u3002\u7406\u89e3Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u751f\u547d\u5468\u671f\u662f\u4e86\u89e3Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u5173\u952e\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u4f18\u5316\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u662f\u4f18\u5316\u5176\u6027\u80fd\u548c\u53ef\u9760\u6027\u7684\u91cd\u8981\u6b65\u9aa4\u3002Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u53ef\u4ee5\u5728\u591a\u4e2a\u5c42\u6b21\u8fdb\u884c\uff0c\u5305\u62ecSpark\u96c6\u7fa4\u914d\u7f6e\u3001\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u548c\u8fd0\u884c\u65f6\u914d\u7f6e\u7b49\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u8be6\u89e3\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Spark\u96c6\u7fa4\u914d\u7f6e\uff1aSpark\u96c6\u7fa4\u914d\u7f6e\u662f\u6307\u914d\u7f6eSpark\u96c6\u7fa4\u7684\u53c2\u6570\uff0c\u5305\u62ec\u96c6\u7fa4\u7ba1\u7406\u5668\u3001\u8d44\u6e90\u7ba1\u7406\u5668\u3001\u8c03\u5ea6\u7a0b\u5e8f\u548c\u76d1\u89c6\u5de5\u5177\u7b49\u3002\u8fd9\u4e9b\u53c2\u6570\u53ef\u4ee5\u5728Spark\u96c6\u7fa4\u7684\u914d\u7f6e\u6587\u4ef6\u4e2d\u8fdb\u884c\u8bbe\u7f6e\uff0c\u4f8b\u5982spark-env.sh\u548cspark-defaults.conf\u7b49\u3002Spark\u96c6\u7fa4\u914d\u7f6e\u7684\u8bbe\u7f6e\u5bf9\u4e8e\u6240\u6709\u8fd0\u884c\u5728\u96c6\u7fa4\u4e0a\u7684\u5e94\u7528\u7a0b\u5e8f\u90fd\u662f\u5171\u4eab\u7684\u3002<\/li>\n\n\n\n<li>\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\uff1a\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u662f\u6307\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u53c2\u6570\uff0c\u5305\u62ec\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3001\u6570\u636e\u8f93\u5165\u8f93\u51fa\u8def\u5f84\u3001\u5185\u5b58\u548cCPU\u8d44\u6e90\u5206\u914d\u3001\u4efb\u52a1\u8c03\u5ea6\u7b56\u7565\u548c\u76d1\u89c6\u548c\u65e5\u5fd7\u8bb0\u5f55\u7b49\u3002\u8fd9\u4e9b\u53c2\u6570\u53ef\u4ee5\u5728\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u4e2d\u8fdb\u884c\u8bbe\u7f6e\uff0c\u4f8b\u5982\u901a\u8fc7SparkConf\u5bf9\u8c61\u6216\u547d\u4ee4\u884c\u53c2\u6570\u7b49\u3002\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u7684\u8bbe\u7f6e\u4ec5\u9002\u7528\u4e8e\u8be5\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u8fc7\u7a0b\u3002<\/li>\n\n\n\n<li>\u8fd0\u884c\u65f6\u914d\u7f6e\uff1a\u8fd0\u884c\u65f6\u914d\u7f6e\u662f\u6307\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u5728\u8fd0\u884c\u65f6\u7684\u53c2\u6570\uff0c\u4f8b\u5982\u4f7f\u7528Spark-shell\u65f6\u7684\u53c2\u6570\u6216\u5728Spark-submit\u547d\u4ee4\u4e2d\u4f7f\u7528\u7684\u53c2\u6570\u3002\u8fd9\u4e9b\u53c2\u6570\u53ef\u4ee5\u8bbe\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u8fd0\u884c\u73af\u5883\uff0c\u4f8b\u5982Master URL\u3001Executor\u5185\u5b58\u548cCPU\u6838\u6570\u3001Driver\u5185\u5b58\u548cCPU\u6838\u6570\u7b49\u3002\u8fd0\u884c\u65f6\u914d\u7f6e\u7684\u8bbe\u7f6e\u5c06\u8986\u76d6\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u548c\u96c6\u7fa4\u914d\u7f6e\u7684\u8bbe\u7f6e\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u5728\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u65f6\uff0c\u9700\u8981\u8003\u8651\u4ee5\u4e0b\u51e0\u4e2a\u65b9\u9762\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u96c6\u7fa4\u786c\u4ef6\u548c\u8d44\u6e90\uff1a\u914d\u7f6eSpark\u96c6\u7fa4\u7684\u786c\u4ef6\u548c\u8d44\u6e90\u5c06\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u9700\u8981\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u8d44\u6e90\u9700\u6c42\u548c\u8ba1\u7b97\u8d1f\u8f7d\u6765\u5206\u914d\u96c6\u7fa4\u7684CPU\u3001\u5185\u5b58\u548c\u78c1\u76d8\u7b49\u8d44\u6e90\uff0c\u5e76\u8bbe\u7f6e\u4efb\u52a1\u8c03\u5ea6\u7b56\u7565\u548c\u8d44\u6e90\u5206\u914d\u6a21\u5f0f\u7b49\u3002<\/li>\n\n\n\n<li>\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u548c\u6570\u636e\uff1a\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u548c\u6570\u636e\u7684\u8bbe\u8ba1\u548c\u7ec4\u7ec7\u5c06\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u9700\u8981\u4f18\u5316\u5e94\u7528\u7a0b\u5e8f\u7684\u4ee3\u7801\u7ed3\u6784\u548c\u7b97\u6cd5\u5b9e\u73b0\uff0c\u4ee5\u51cf\u5c11\u6570\u636e\u4f20\u8f93\u548c\u5904\u7406\u65f6\u95f4\u3002\u540c\u65f6\uff0c\u9700\u8981\u8bbe\u7f6e\u8f93\u5165\u8f93\u51fa\u8def\u5f84\u548c\u683c\u5f0f\uff0c\u4ee5\u4fbf\u6709\u6548\u5730\u8bfb\u5199\u6570\u636e\u3002<\/li>\n\n\n\n<li>\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u548c\u53c2\u6570\uff1a\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u548c\u53c2\u6570\u5c06\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u9700\u8981\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u9700\u6c42\u548c\u786c\u4ef6\u8d44\u6e90\u7684\u9650\u5236\u6765\u914d\u7f6e\u5e94\u7528\u7a0b\u5e8f\u7684\u53c2\u6570\uff0c\u4f8b\u5982\u5185\u5b58\u548cCPU\u8d44\u6e90\u5206\u914d\u3001\u4efb\u52a1\u8c03\u5ea6\u7b56\u7565\u548c\u76d1\u89c6\u548c\u65e5\u5fd7\u8bb0\u5f55\u7b49\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u914d\u7f6eSpark\u5e94\u7528\u7a0b\u5e8f\u662f\u4f18\u5316\u5176\u6027\u80fd\u548c\u53ef\u9760\u6027\u7684\u91cd\u8981\u6b65\u9aa4\u3002\u9700\u8981\u6839\u636e\u96c6\u7fa4\u786c\u4ef6\u548c\u8d44\u6e90\u3001\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u548c\u6570\u636e\u4ee5\u53ca\u5e94\u7528\u7a0b\u5e8f\u914d\u7f6e\u548c\u53c2\u6570\u7b49\u65b9\u9762\u8fdb\u884c\u8bbe\u7f6e\uff0c\u4ee5\u5b9e\u73b0\u6700\u4f73\u7684\u5e94\u7528\u7a0b\u5e8f\u6267\u884c\u6548\u679c\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91caSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c\u6d89\u53ca\u5230\u591a\u4e2a\u6b65\u9aa4\uff0c\u5305\u62ec\u51c6\u5907\u73af\u5883\u3001\u6253\u5305\u5e94\u7528\u7a0b\u5e8f\u3001\u63d0\u4ea4\u5e94\u7528\u7a0b\u5e8f\u3001\u76d1\u89c6\u548c\u8c03\u8bd5\u5e94\u7528\u7a0b\u5e8f\u7b49\u3002<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c\u7684\u8be6\u7ec6\u89e3\u91ca\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u51c6\u5907\u73af\u5883\uff1a\u5728\u51c6\u5907\u73af\u5883\u9636\u6bb5\uff0c\u60a8\u9700\u8981\u51c6\u5907Spark\u96c6\u7fa4\u7684\u8fd0\u884c\u73af\u5883\uff0c\u5305\u62ec\u5b89\u88c5Java\u548cSpark\u7b49\u8f6f\u4ef6\u3001\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\u548c\u914d\u7f6e\u6587\u4ef6\u3001\u521b\u5efa\u96c6\u7fa4\u548c\u5206\u914d\u8d44\u6e90\u7b49\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u9700\u8981\u68c0\u67e5\u96c6\u7fa4\u7684\u786c\u4ef6\u548c\u7f51\u7edc\u8fde\u63a5\uff0c\u5e76\u786e\u4fdd\u5b83\u4eec\u80fd\u591f\u6ee1\u8db3\u5e94\u7528\u7a0b\u5e8f\u7684\u8981\u6c42\u3002<\/li>\n\n\n\n<li>\u6253\u5305\u5e94\u7528\u7a0b\u5e8f\uff1a\u5728\u6253\u5305\u5e94\u7528\u7a0b\u5e8f\u9636\u6bb5\uff0c\u60a8\u9700\u8981\u5c06\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u6253\u5305\u6210\u53ef\u6267\u884c\u7684JAR\u6587\u4ef6\u6216Python egg\u6587\u4ef6\u3002\u6253\u5305\u8fc7\u7a0b\u5c06\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3001\u76f8\u5173\u7684\u5e93\u548c\u4f9d\u8d56\u9879\u7b49\u6253\u5305\u5728\u4e00\u8d77\uff0c\u4ee5\u4fbf\u4e8e\u90e8\u7f72\u548c\u8fd0\u884c\u3002<\/li>\n\n\n\n<li>\u63d0\u4ea4\u5e94\u7528\u7a0b\u5e8f\uff1a\u5728\u63d0\u4ea4\u5e94\u7528\u7a0b\u5e8f\u9636\u6bb5\uff0c\u60a8\u9700\u8981\u4f7f\u7528Spark-submit\u547d\u4ee4\u884c\u5de5\u5177\u6216\u5176\u4ed6\u63d0\u4ea4\u811a\u672c\u5c06\u6253\u5305\u597d\u7684\u5e94\u7528\u7a0b\u5e8f\u63d0\u4ea4\u5230Spark\u96c6\u7fa4\u4e0a\u3002\u63d0\u4ea4\u8fc7\u7a0b\u5c06\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3001\u914d\u7f6e\u4fe1\u606f\u548c\u547d\u4ee4\u884c\u53c2\u6570\u7b49\u53d1\u9001\u5230Spark\u96c6\u7fa4\u4e0a\uff0c\u5e76\u542f\u52a8\u5e94\u7528\u7a0b\u5e8f\u7684\u6267\u884c\u3002\u63d0\u4ea4\u5e94\u7528\u7a0b\u5e8f\u65f6\uff0c\u60a8\u9700\u8981\u6307\u5b9a\u5e94\u7528\u7a0b\u5e8f\u7684\u4e3b\u7c7b\u3001\u5e94\u7528\u7a0b\u5e8f\u7684\u8d44\u6e90\u9700\u6c42\u3001\u5e94\u7528\u7a0b\u5e8f\u8fd0\u884c\u7684Master URL\u548c\u5176\u4ed6\u53c2\u6570\u3002<\/li>\n\n\n\n<li>\u76d1\u89c6\u548c\u8c03\u8bd5\u5e94\u7528\u7a0b\u5e8f\uff1a\u5728\u5e94\u7528\u7a0b\u5e8f\u6267\u884c\u671f\u95f4\uff0c\u60a8\u9700\u8981\u76d1\u89c6\u548c\u8c03\u8bd5\u5e94\u7528\u7a0b\u5e8f\uff0c\u4ee5\u786e\u4fdd\u5176\u6b63\u786e\u6267\u884c\u548c\u4f18\u5316\u6027\u80fd\u3002Spark\u63d0\u4f9b\u4e86\u591a\u79cd\u76d1\u89c6\u548c\u8c03\u8bd5\u5de5\u5177\uff0c\u5305\u62ecSpark Web UI\u3001Spark History Server\u548cSpark\u65e5\u5fd7\u8bb0\u5f55\u7b49\u3002\u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u60a8\u4e86\u89e3\u5e94\u7528\u7a0b\u5e8f\u7684\u72b6\u6001\u548c\u6027\u80fd\uff0c\u5e76\u8bca\u65ad\u548c\u89e3\u51b3\u95ee\u9898\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0cSpark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c\u6d89\u53ca\u5230\u591a\u4e2a\u6b65\u9aa4\uff0c\u9700\u8981\u4ed4\u7ec6\u89c4\u5212\u548c\u6267\u884c\u3002\u5728\u51c6\u5907\u73af\u5883\u3001\u6253\u5305\u5e94\u7528\u7a0b\u5e8f\u3001\u63d0\u4ea4\u5e94\u7528\u7a0b\u5e8f\u548c\u76d1\u89c6\u548c\u8c03\u8bd5\u5e94\u7528\u7a0b\u5e8f\u7b49\u65b9\u9762\u9700\u8981\u7279\u522b\u6ce8\u610f\u3002\u7406\u89e3Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u90e8\u7f72\u548c\u8fd0\u884c\u6d41\u7a0b\u662f\u4e86\u89e3Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u5173\u952e\uff0c\u53ef\u4ee5\u5e2e\u52a9\u60a8\u4f18\u5316\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u4ece\u786c\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ece\u786c\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u53ef\u4ee5\u63d0\u9ad8Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u4ee5\u4e0b\u662f\u4ece\u786c\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u7684\u4e00\u4e9b\u5efa\u8bae\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u5185\u5b58\uff1aSpark\u5e94\u7528\u7a0b\u5e8f\u9700\u8981\u5927\u91cf\u7684\u5185\u5b58\u6765\u7f13\u5b58\u6570\u636e\u548c\u6267\u884c\u8ba1\u7b97\u4efb\u52a1\u3002\u56e0\u6b64\uff0c\u5185\u5b58\u662fSpark\u6027\u80fd\u4f18\u5316\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u5c3d\u53ef\u80fd\u4f7f\u7528\u9ad8\u5bb9\u91cf\u7684\u5185\u5b58\uff0c\u4f8b\u598264GB\u6216\u66f4\u9ad8\uff0c\u4ee5\u4fbf\u7f13\u5b58\u66f4\u591a\u7684\u6570\u636e\u548c\u652f\u6301\u66f4\u5927\u7684\u5206\u533a\u3002\u540c\u65f6\uff0c\u60a8\u5e94\u8be5\u5408\u7406\u5206\u914d\u5185\u5b58\uff0c\u5c06\u5185\u5b58\u5206\u914d\u7ed9\u5404\u4e2a\u7ec4\u4ef6\uff0c\u4f8b\u5982Driver\u3001Executor\u548c\u7f13\u5b58\u7b49\uff0c\u4ee5\u786e\u4fdd\u6700\u4f73\u7684\u6027\u80fd\u548c\u7a33\u5b9a\u6027\u3002<\/li>\n\n\n\n<li>CPU\uff1aCPU\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u6267\u884c\u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u56e0\u7d20\u3002\u60a8\u5e94\u8be5\u5c3d\u53ef\u80fd\u4f7f\u7528\u591a\u6838CPU\uff0c\u4f8b\u59828\u6838\u6216\u66f4\u9ad8\uff0c\u4ee5\u652f\u6301\u66f4\u591a\u7684\u5e76\u53d1\u4efb\u52a1\u548c\u66f4\u9ad8\u7684\u8ba1\u7b97\u541e\u5410\u91cf\u3002\u540c\u65f6\uff0c\u60a8\u5e94\u8be5\u5408\u7406\u5206\u914dCPU\u8d44\u6e90\uff0c\u4ee5\u786e\u4fddExecutor\u548c\u4efb\u52a1\u6709\u8db3\u591f\u7684CPU\u8d44\u6e90\u6765\u6267\u884c\u8ba1\u7b97\u4efb\u52a1\u3002<\/li>\n\n\n\n<li>\u5b58\u50a8\uff1a\u5b58\u50a8\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7ecf\u5e38\u4f7f\u7528\u7684\u53e6\u4e00\u4e2a\u786c\u4ef6\u7ec4\u4ef6\u3002\u60a8\u5e94\u8be5\u4f7f\u7528\u9ad8\u901f\u7684\u5b58\u50a8\u8bbe\u5907\uff0c\u4f8b\u5982SSD\u6216NVMe\u9a71\u52a8\u5668\uff0c\u4ee5\u63d0\u9ad8\u6570\u636e\u8bfb\u5199\u901f\u5ea6\u548c\u54cd\u5e94\u65f6\u95f4\u3002\u540c\u65f6\uff0c\u60a8\u5e94\u8be5\u5408\u7406\u5206\u914d\u5b58\u50a8\u8d44\u6e90\uff0c\u4ee5\u786e\u4fdd\u5e94\u7528\u7a0b\u5e8f\u53ef\u4ee5\u6709\u6548\u5730\u8bfb\u5199\u6570\u636e\u3002<\/li>\n\n\n\n<li>\u7f51\u7edc\uff1a\u7f51\u7edc\u662fSpark\u96c6\u7fa4\u4e2d\u6570\u636e\u4f20\u8f93\u7684\u4e3b\u8981\u65b9\u5f0f\u3002\u60a8\u5e94\u8be5\u4f7f\u7528\u9ad8\u901f\u7684\u7f51\u7edc\u8fde\u63a5\uff0c\u4f8b\u5982\u5343\u5146\u6216\u66f4\u9ad8\u901f\u5ea6\u7684\u4ee5\u592a\u7f51\u6216InfiniBand\u7f51\u7edc\uff0c\u4ee5\u63d0\u9ad8\u6570\u636e\u4f20\u8f93\u901f\u5ea6\u548c\u53ef\u9760\u6027\u3002\u540c\u65f6\uff0c\u60a8\u5e94\u8be5\u5408\u7406\u5206\u914d\u7f51\u7edc\u8d44\u6e90\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u53ef\u4ee5\u5728\u96c6\u7fa4\u4e2d\u5feb\u901f\u4f20\u8f93\u3002<\/li>\n\n\n\n<li>\u96c6\u7fa4\u89c4\u6a21\uff1a\u96c6\u7fa4\u89c4\u6a21\u662fSpark\u6027\u80fd\u4f18\u5316\u7684\u53e6\u4e00\u4e2a\u5173\u952e\u56e0\u7d20\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u8ba1\u7b97\u8d1f\u8f7d\u548c\u6570\u636e\u89c4\u6a21\u6765\u786e\u5b9a\u96c6\u7fa4\u7684\u89c4\u6a21\u3002\u5728\u96c6\u7fa4\u89c4\u6a21\u8fc7\u5c0f\u65f6\uff0c\u4f1a\u5bfc\u81f4\u8d44\u6e90\u6d6a\u8d39\u548c\u6027\u80fd\u4e0b\u964d\uff1b\u5728\u96c6\u7fa4\u89c4\u6a21\u8fc7\u5927\u65f6\uff0c\u4f1a\u5bfc\u81f4\u8d44\u6e90\u6d6a\u8d39\u548c\u8c03\u5ea6\u590d\u6742\u6027\u589e\u52a0\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u4ece\u786c\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u53ef\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u60a8\u5e94\u8be5\u4f18\u5316\u5185\u5b58\u3001CPU\u3001\u5b58\u50a8\u3001\u7f51\u7edc\u548c\u96c6\u7fa4\u89c4\u6a21\u7b49\u786c\u4ef6\u7ec4\u4ef6\uff0c\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u4ece\u8f6f\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ece\u8f6f\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u53ef\u4ee5\u63d0\u9ad8Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u4ee5\u4e0b\u662f\u4ece\u8f6f\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u7684\u4e00\u4e9b\u5efa\u8bae\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u6570\u636e\u672c\u5730\u5316\uff1a\u6570\u636e\u672c\u5730\u5316\u662fSpark\u6027\u80fd\u4f18\u5316\u7684\u91cd\u8981\u7b56\u7565\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u5c3d\u53ef\u80fd\u5c06\u6570\u636e\u653e\u7f6e\u5728\u4e0e\u8ba1\u7b97\u4efb\u52a1\u76f8\u540c\u7684\u8282\u70b9\u4e0a\uff0c\u4ee5\u907f\u514d\u6570\u636e\u4f20\u8f93\u5ef6\u8fdf\u548c\u7f51\u7edc\u74f6\u9888\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528repartition\u6216coalesce\u65b9\u6cd5\u5c06\u6570\u636e\u5206\u533a\uff0c\u5e76\u4f7f\u7528cache\u6216persist\u65b9\u6cd5\u7f13\u5b58\u6570\u636e\uff0c\u4ee5\u4fbf\u540e\u7eed\u4efb\u52a1\u53ef\u4ee5\u8bbf\u95ee\u5b83\u4eec\u3002<\/li>\n\n\n\n<li>\u5e76\u884c\u5ea6\uff1a\u5e76\u884c\u5ea6\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u8ba1\u7b97\u4efb\u52a1\u7684\u5e76\u884c\u6267\u884c\u5ea6\u3002\u60a8\u5e94\u8be5\u5c3d\u53ef\u80fd\u589e\u52a0\u5e76\u884c\u5ea6\uff0c\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u541e\u5410\u91cf\u548c\u54cd\u5e94\u65f6\u95f4\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u4efb\u52a1\u5206\u533a\u3001Executor\u6570\u91cf\u3001Executor\u5185\u5b58\u5927\u5c0f\u7b49\u53c2\u6570\u6765\u589e\u52a0\u5e76\u884c\u5ea6\u3002<\/li>\n\n\n\n<li>\u6570\u636e\u538b\u7f29\uff1a\u6570\u636e\u538b\u7f29\u53ef\u4ee5\u51cf\u5c11\u6570\u636e\u4f20\u8f93\u548c\u5b58\u50a8\u7684\u5f00\u9500\uff0c\u5e76\u63d0\u9ad8Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528Gzip\u3001Snappy\u6216LZ4\u7b49\u538b\u7f29\u7b97\u6cd5\u538b\u7f29\u6570\u636e\uff0c\u4ee5\u4fbf\u66f4\u6709\u6548\u5730\u5b58\u50a8\u548c\u4f20\u8f93\u6570\u636e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.sql.inMemoryColumnarStorage.compressed\u6216spark.rdd.compress\u53c2\u6570\u6765\u5f00\u542f\u6570\u636e\u538b\u7f29\u3002<\/li>\n\n\n\n<li>\u5e8f\u5217\u5316\uff1a\u5e8f\u5217\u5316\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u6570\u636e\u4f20\u8f93\u548c\u5b58\u50a8\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u9009\u62e9\u9ad8\u6548\u7684\u5e8f\u5217\u5316\u683c\u5f0f\uff0c\u4f8b\u5982Kryo\u6216Java Serialization\uff0c\u4ee5\u63d0\u9ad8\u6570\u636e\u4f20\u8f93\u901f\u5ea6\u548c\u54cd\u5e94\u65f6\u95f4\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.serializer\u53c2\u6570\u6765\u6307\u5b9a\u5e8f\u5217\u5316\u5668\u3002<\/li>\n\n\n\n<li>\u8d44\u6e90\u7ba1\u7406\uff1a\u8d44\u6e90\u7ba1\u7406\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u8d44\u6e90\u5206\u914d\u548c\u8c03\u5ea6\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u9009\u62e9\u9002\u5f53\u7684\u8d44\u6e90\u7ba1\u7406\u5668\uff0c\u4f8b\u5982Standalone\u3001YARN\u6216Mesos\uff0c\u4ee5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u9700\u6c42\u548c\u786c\u4ef6\u8d44\u6e90\u7684\u9650\u5236\u6765\u5206\u914d\u548c\u7ba1\u7406\u8d44\u6e90\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.executor.instances\u3001spark.executor.memory\u3001spark.executor.cores\u7b49\u53c2\u6570\u6765\u914d\u7f6e\u8d44\u6e90\u5206\u914d\u548c\u8c03\u5ea6\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u4ece\u8f6f\u4ef6\u65b9\u9762\u4f18\u5316Spark\u6027\u80fd\u53ef\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u60a8\u5e94\u8be5\u4f18\u5316\u6570\u636e\u672c\u5730\u5316\u3001\u5e76\u884c\u5ea6\u3001\u6570\u636e\u538b\u7f29\u3001\u5e8f\u5217\u5316\u548c\u8d44\u6e90\u7ba1\u7406\u7b49\u8f6f\u4ef6\u7ec4\u4ef6\uff0c\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u8be6\u7ec6\u89e3\u91ca\u5982\u4f55\u8c03\u6574Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u8c03\u6574Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u53ef\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u8c03\u6574Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u7684\u4e00\u4e9b\u5efa\u8bae\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u8c03\u6574\u5185\u5b58\u914d\u7f6e\uff1a\u5185\u5b58\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u5173\u952e\u8d44\u6e90\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u5185\u5b58\u9700\u6c42\u548c\u53ef\u7528\u5185\u5b58\u7684\u5927\u5c0f\u6765\u8c03\u6574\u5185\u5b58\u914d\u7f6e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.driver.memory\u548cspark.executor.memory\u53c2\u6570\u6765\u914d\u7f6eDriver\u548cExecutor\u7684\u5185\u5b58\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528spark.memory.fraction\u548cspark.memory.storageFraction\u53c2\u6570\u6765\u8c03\u6574\u5806\u5185\u548c\u5806\u5916\u5185\u5b58\u7684\u6bd4\u4f8b\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u7c7b\u578b\u7684\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/li>\n\n\n\n<li>\u8c03\u6574\u5e76\u884c\u5ea6\u914d\u7f6e\uff1a\u5e76\u884c\u5ea6\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4efb\u52a1\u5e76\u884c\u6267\u884c\u7684\u7a0b\u5ea6\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u8ba1\u7b97\u8d1f\u8f7d\u548c\u6570\u636e\u89c4\u6a21\u6765\u8c03\u6574\u5e76\u884c\u5ea6\u914d\u7f6e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.default.parallelism\u548cspark.sql.shuffle.partitions\u7b49\u53c2\u6570\u6765\u8c03\u6574\u4efb\u52a1\u5206\u533a\u548c\u5e76\u884c\u5ea6\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528repartition\u6216coalesce\u65b9\u6cd5\u6765\u8c03\u6574\u6570\u636e\u5206\u533a\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u7c7b\u578b\u7684\u5de5\u4f5c\u8d1f\u8f7d\u3002<\/li>\n\n\n\n<li>\u8c03\u6574\u8c03\u5ea6\u914d\u7f6e\uff1a\u8c03\u5ea6\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4efb\u52a1\u8c03\u5ea6\u548c\u5206\u914d\u8d44\u6e90\u7684\u5173\u952e\u7ec4\u4ef6\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u9700\u6c42\u548c\u786c\u4ef6\u8d44\u6e90\u7684\u9650\u5236\u6765\u8c03\u6574\u8c03\u5ea6\u914d\u7f6e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.scheduler.mode\u53c2\u6570\u6765\u9009\u62e9\u8c03\u5ea6\u6a21\u5f0f\uff0c\u5e76\u4f7f\u7528spark.executor.instances\u3001spark.executor.cores\u548cspark.executor.memory\u7b49\u53c2\u6570\u6765\u914d\u7f6eExecutor\u7684\u6570\u91cf\u3001\u5185\u6838\u6570\u548c\u5185\u5b58\u3002<\/li>\n\n\n\n<li>\u8c03\u6574IO\u914d\u7f6e\uff1aIO\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u6570\u636e\u8bfb\u5199\u548c\u4f20\u8f93\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u6570\u636e\u89c4\u6a21\u548c\u6570\u636e\u5206\u5e03\u6765\u8c03\u6574IO\u914d\u7f6e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.shuffle.service.enabled\u3001spark.shuffle.file.buffer\u3001spark.reducer.maxSizeInFlight\u7b49\u53c2\u6570\u6765\u8c03\u6574\u6570\u636e\u8bfb\u5199\u548c\u4f20\u8f93\u7684\u76f8\u5173\u53c2\u6570\u3002<\/li>\n\n\n\n<li>\u8c03\u6574\u6027\u80fd\u4f18\u5316\u914d\u7f6e\uff1a\u6027\u80fd\u4f18\u5316\u662fSpark\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f18\u5316\u6267\u884c\u8ba1\u5212\u548c\u63d0\u9ad8\u8ba1\u7b97\u541e\u5410\u91cf\u7684\u5173\u952e\u7ec4\u4ef6\u4e4b\u4e00\u3002\u60a8\u5e94\u8be5\u6839\u636e\u5e94\u7528\u7a0b\u5e8f\u7684\u8ba1\u7b97\u8d1f\u8f7d\u548c\u6570\u636e\u89c4\u6a21\u6765\u8c03\u6574\u6027\u80fd\u4f18\u5316\u914d\u7f6e\u3002\u5728Spark\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528spark.sql.autoBroadcastJoinThreshold\u3001spark.sql.shuffle.partitions\u7b49\u53c2\u6570\u6765\u4f18\u5316\u6267\u884c\u8ba1\u5212\u548c\u63d0\u9ad8\u8ba1\u7b97\u541e\u5410\u91cf\u3002<\/li>\n<\/ol>\n\n\n\n<p>\u603b\u7684\u6765\u8bf4\uff0c\u8c03\u6574Spark\u5e94\u7528\u7a0b\u5e8f\u7684\u914d\u7f6e\u53ef\u4ee5\u63d0\u9ad8\u5e94\u7528\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u53ef\u9760\u6027\u3002\u60a8\u5e94\u8be5\u4f18\u5316\u5185\u5b58\u3001\u5e76\u884c\u5ea6\u3001\u8c03\u5ea6\u3001IO\u548c\u6027\u80fd\u4f18\u5316\u7b49\u914d\u7f6e\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u7c7b\u578b\u7684\u5de5\u4f5c\u8d1f\u8f7d\u548c\u786c\u4ef6\u8d44\u6e90\u7684\u9650\u5236\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ed9\u51fa\u4f7f\u7528Spark\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u6e05\u6d17\u7684\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Spark\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u6e05\u6d17\u7684\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from pyspark.sql import SparkSession\nfrom pyspark.sql.functions import *\n\n# \u521b\u5efaSparkSession\nspark = SparkSession.builder.appName(\"DataCleaningExample\").getOrCreate()\n\n# \u8bfb\u53d6\u6570\u636e\u6587\u4ef6\ndf = spark.read.csv(\"path\/to\/input\/data.csv\", header=True, inferSchema=True)\n\n# \u67e5\u770b\u6570\u636e\u6982\u89c8\ndf.show()\n\n# \u5220\u9664\u7a7a\u503c\u548c\u91cd\u590d\u503c\ndf = df.dropna().dropDuplicates()\n\n# \u66f4\u6539\u5217\u540d\ndf = df.withColumnRenamed(\"old_col_name\", \"new_col_name\")\n\n# \u8fc7\u6ee4\u6570\u636e\ndf = df.filter(col(\"col_name\") &gt; 0)\n\n# \u6dfb\u52a0\u65b0\u5217\ndf = df.withColumn(\"new_col\", col(\"col_name\") + 1)\n\n# \u6309\u5217\u5206\u7ec4\u6c47\u603b\u6570\u636e\ngrouped_df = df.groupBy(\"col_name\").agg(avg(\"col1\"), sum(\"col2\"))\n\n# \u4fdd\u5b58\u6e05\u6d17\u540e\u7684\u6570\u636e\u5230\u6587\u4ef6\ndf.write.csv(\"path\/to\/output\/data.csv\", header=True)\n\n# \u505c\u6b62SparkSession\nspark.stop()\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u793a\u4f8b\u7a0b\u5e8f\u4f7f\u7528Spark\u8bfb\u53d6CSV\u683c\u5f0f\u7684\u8f93\u5165\u6570\u636e\u6587\u4ef6\uff0c\u5e76\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u3002\u9996\u5148\uff0c\u4f7f\u7528<code>dropna()<\/code>\u65b9\u6cd5\u548c<code>dropDuplicates()<\/code>\u65b9\u6cd5\u5220\u9664\u7a7a\u503c\u548c\u91cd\u590d\u503c\u3002\u7136\u540e\uff0c\u4f7f\u7528<code>withColumnRenamed()<\/code>\u65b9\u6cd5\u66f4\u6539\u5217\u540d\uff0c\u4f7f\u7528<code>filter()<\/code>\u65b9\u6cd5\u8fc7\u6ee4\u6570\u636e\uff0c\u4f7f\u7528<code>withColumn()<\/code>\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217\uff0c\u4f7f\u7528<code>groupBy()<\/code>\u65b9\u6cd5\u548c<code>agg()<\/code>\u65b9\u6cd5\u6309\u5217\u5206\u7ec4\u6c47\u603b\u6570\u636e\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>write.csv()<\/code>\u65b9\u6cd5\u5c06\u6e05\u6d17\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u8f93\u51fa\u6587\u4ef6\u4e2d\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ed9\u51fa\u4f7f\u7528Spark\u8fdb\u884c\u5b9e\u65f6\u6570\u636e\u5206\u6790\u7684\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Spark\u8fdb\u884c\u5b9e\u65f6\u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from pyspark.sql import SparkSession\nfrom pyspark.sql.functions import *\nfrom pyspark.sql.types import *\n\n# \u521b\u5efaSparkSession\nspark = SparkSession.builder.appName(\"RealTimeAnalysisExample\").getOrCreate()\n\n# \u5b9a\u4e49\u6570\u636e\u6a21\u5f0f\nschema = StructType([\n    StructField(\"timestamp\", TimestampType(), True),\n    StructField(\"value\", IntegerType(), True)\n])\n\n# \u521b\u5efa\u6d41\u5f0fDataFrame\nstreaming_df = spark.readStream.schema(schema).csv(\"path\/to\/input\/streaming_data.csv\")\n\n# \u5b9e\u65f6\u5206\u6790\u6570\u636e\nresult_df = streaming_df.groupBy(window(col(\"timestamp\"), \"10 minutes\"), col(\"value\")).agg(avg(col(\"value\")), sum(col(\"value\")))\n\n# \u8f93\u51fa\u7ed3\u679c\u5230\u63a7\u5236\u53f0\nquery = result_df.writeStream.outputMode(\"complete\").format(\"console\").start()\n\n# \u7b49\u5f85\u6d41\u5f0f\u67e5\u8be2\u6267\u884c\u5b8c\u6210\nquery.awaitTermination()\n\n# \u505c\u6b62SparkSession\nspark.stop()\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u793a\u4f8b\u7a0b\u5e8f\u4f7f\u7528Spark\u8bfb\u53d6CSV\u683c\u5f0f\u7684\u6d41\u5f0f\u8f93\u5165\u6570\u636e\u6587\u4ef6\uff0c\u5e76\u5b9e\u65f6\u5206\u6790\u6570\u636e\u3002\u9996\u5148\uff0c\u5b9a\u4e49\u6570\u636e\u6a21\u5f0f\uff0c\u5e76\u4f7f\u7528<code>readStream()<\/code>\u65b9\u6cd5\u521b\u5efa\u6d41\u5f0fDataFrame\u3002\u7136\u540e\uff0c\u4f7f\u7528<code>groupBy()<\/code>\u65b9\u6cd5\u548c<code>window()<\/code>\u65b9\u6cd5\u6309\u65f6\u95f4\u7a97\u53e3\u548c\u5217\u5206\u7ec4\u6c47\u603b\u6570\u636e\uff0c\u5e76\u4f7f\u7528<code>avg()<\/code>\u65b9\u6cd5\u548c<code>sum()<\/code>\u65b9\u6cd5\u8ba1\u7b97\u5e73\u5747\u503c\u548c\u603b\u548c\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>writeStream()<\/code>\u65b9\u6cd5\u5c06\u7ed3\u679c\u8f93\u51fa\u5230\u63a7\u5236\u53f0\uff0c\u5e76\u4f7f\u7528<code>start()<\/code>\u65b9\u6cd5\u542f\u52a8\u6d41\u5f0f\u67e5\u8be2\uff0c\u4f7f\u7528<code>awaitTermination()<\/code>\u65b9\u6cd5\u7b49\u5f85\u67e5\u8be2\u6267\u884c\u5b8c\u6210\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ed9\u51fa\u4f7f\u7528Spark\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Spark\u8fdb\u884c\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from pyspark.sql import SparkSession\nfrom pyspark.ml.feature import VectorAssembler, StringIndexer\nfrom pyspark.ml.classification import LogisticRegression\nfrom pyspark.ml.evaluation import BinaryClassificationEvaluator\n\n# \u521b\u5efaSparkSession\nspark = SparkSession.builder.appName(\"MachineLearningExample\").getOrCreate()\n\n# \u8bfb\u53d6\u6570\u636e\u6587\u4ef6\ndf = spark.read.csv(\"path\/to\/input\/data.csv\", header=True, inferSchema=True)\n\n# \u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\ndf = df.dropna().dropDuplicates()\nassembler = VectorAssembler(inputCols=[\"col1\", \"col2\", \"col3\"], outputCol=\"features\")\ndf = assembler.transform(df)\nlabelIndexer = StringIndexer(inputCol=\"label\", outputCol=\"indexedLabel\").fit(df)\ndf = labelIndexer.transform(df)\n\n# \u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\ntrain, test = df.randomSplit([0.7, 0.3], seed=12345)\n\n# \u6784\u5efa\u903b\u8f91\u56de\u5f52\u6a21\u578b\nlr = LogisticRegression(featuresCol=\"features\", labelCol=\"indexedLabel\", maxIter=10)\n\n# \u8bad\u7ec3\u6a21\u578b\nmodel = lr.fit(train)\n\n# \u9884\u6d4b\u6d4b\u8bd5\u96c6\npredictions = model.transform(test)\n\n# \u8bc4\u4f30\u6a21\u578b\u6027\u80fd\nevaluator = BinaryClassificationEvaluator(rawPredictionCol=\"rawPrediction\", labelCol=\"indexedLabel\")\nauc = evaluator.evaluate(predictions)\n\n# \u8f93\u51fa\u6a21\u578b\u6027\u80fd\u6307\u6807\nprint(\"AUC: {}\".format(auc))\n\n# \u505c\u6b62SparkSession\nspark.stop()\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u793a\u4f8b\u7a0b\u5e8f\u4f7f\u7528Spark\u8bfb\u53d6CSV\u683c\u5f0f\u7684\u8f93\u5165\u6570\u636e\u6587\u4ef6\uff0c\u5e76\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u3002\u9996\u5148\uff0c\u4f7f\u7528<code>dropna()<\/code>\u65b9\u6cd5\u548c<code>dropDuplicates()<\/code>\u65b9\u6cd5\u5220\u9664\u7a7a\u503c\u548c\u91cd\u590d\u503c\u3002\u7136\u540e\uff0c\u4f7f\u7528<code>VectorAssembler()<\/code>\u65b9\u6cd5\u5c06\u7279\u5f81\u5217\u7ec4\u5408\u6210\u4e00\u4e2a\u7279\u5f81\u5411\u91cf\u5217\uff0c\u5e76\u4f7f\u7528<code>StringIndexer()<\/code>\u65b9\u6cd5\u5c06\u6807\u7b7e\u5217\u8f6c\u6362\u4e3a\u6570\u5b57\u7d22\u5f15\u5217\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>randomSplit()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u96c6\u5212\u5206\u4e3a\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002\u7136\u540e\uff0c\u4f7f\u7528<code>LogisticRegression()<\/code>\u65b9\u6cd5\u6784\u5efa\u903b\u8f91\u56de\u5f52\u6a21\u578b\uff0c\u5e76\u4f7f\u7528<code>fit()<\/code>\u65b9\u6cd5\u8bad\u7ec3\u6a21\u578b\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>transform()<\/code>\u65b9\u6cd5\u9884\u6d4b\u6d4b\u8bd5\u96c6\uff0c\u5e76\u4f7f\u7528<code>BinaryClassificationEvaluator()<\/code>\u65b9\u6cd5\u8bc4\u4f30\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>\u8bf7\u7ed9\u51fa\u4f7f\u7528Spark\u8fdb\u884c\u56fe\u5f62\u5904\u7406\u7684\u793a\u4f8b\u7a0b\u5e8f<\/p>\n\n\n\n<p>\u5f53\u7136\u53ef\u4ee5\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528Spark\u8fdb\u884c\u56fe\u5f62\u5904\u7406\u7684\u4e00\u4e2a\u793a\u4f8b\u7a0b\u5e8f\uff1a<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pythonCopy code<code>from pyspark.sql import SparkSession\nfrom pyspark.sql.functions import *\nfrom graphframes import *\n\n# \u521b\u5efaSparkSession\nspark = SparkSession.builder.appName(\"GraphProcessingExample\").getOrCreate()\n\n# \u521b\u5efa\u8282\u70b9DataFrame\u548c\u8fb9DataFrame\nvertices = spark.createDataFrame([(1, \"A\"), (2, \"B\"), (3, \"C\"), (4, \"D\"), (5, \"E\")], [\"id\", \"name\"])\nedges = spark.createDataFrame([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5), (5, 3)], [\"src\", \"dst\"])\n\n# \u521b\u5efa\u56fe\ngraph = GraphFrame(vertices, edges)\n\n# \u67e5\u8be2\u8282\u70b9\ngraph.vertices.show()\n\n# \u67e5\u8be2\u8fb9\ngraph.edges.show()\n\n# \u67e5\u8be2\u5ea6\u6570\ngraph.degrees.show()\n\n# \u67e5\u8be2\u4e09\u5143\u7ec4\ngraph.triplets.show()\n\n# \u6267\u884cPageRank\u7b97\u6cd5\nresult = graph.pageRank(resetProbability=0.15, tol=0.01)\n\n# \u8f93\u51faPageRank\u503c\nresult.vertices.show()\n\n# \u505c\u6b62SparkSession\nspark.stop()\n<\/code><\/pre>\n\n\n\n<p>\u4e0a\u8ff0\u793a\u4f8b\u7a0b\u5e8f\u4f7f\u7528Spark\u8fdb\u884c\u56fe\u5f62\u5904\u7406\u3002\u9996\u5148\uff0c\u521b\u5efa\u8282\u70b9DataFrame\u548c\u8fb9DataFrame\uff0c\u5e76\u4f7f\u7528<code>GraphFrame()<\/code>\u65b9\u6cd5\u521b\u5efa\u56fe\u3002\u7136\u540e\uff0c\u4f7f\u7528<code>show()<\/code>\u65b9\u6cd5\u67e5\u8be2\u8282\u70b9\u3001\u8fb9\u3001\u5ea6\u6570\u548c\u4e09\u5143\u7ec4\u4fe1\u606f\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>pageRank()<\/code>\u65b9\u6cd5\u6267\u884cPageRank\u7b97\u6cd5\uff0c\u5e76\u4f7f\u7528<code>show()<\/code>\u65b9\u6cd5\u8f93\u51faPageRank\u503c\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>stop()<\/code>\u65b9\u6cd5\u505c\u6b62SparkSession\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>Github\u4e0a\u6709\u54ea\u4e9b\u57fa\u4e8eSpark\u7684\u4f18\u79c0\u7cfb\u7edf<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u51e0\u4e2a\u57fa\u4e8eSpark\u7684\u4f18\u79c0\u7cfb\u7edf\uff0c\u5b83\u4eec\u5728Github\u4e0a\u90fd\u6709\u6e90\u4ee3\u7801\u548c\u76f8\u5173\u6587\u6863\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Apache Flink\uff1aApache Flink\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u5206\u5e03\u5f0f\u6d41\u5904\u7406\u6846\u67b6\uff0c\u5b83\u57fa\u4e8eSpark\u7684RDD\u6a21\u578b\uff0c\u652f\u6301\u6d41\u5904\u7406\u548c\u6279\u5904\u7406\uff0c\u5177\u6709\u9ad8\u53ef\u9760\u6027\u548c\u9ad8\u541e\u5410\u91cf\u7684\u7279\u70b9\u3002Flink\u7684\u6e90\u4ee3\u7801\u548c\u6587\u6863\u90fd\u5728Github\u4e0a\u5f00\u653e\uff0c\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/apache\/flink%E3%80%82\">https:\/\/github.com\/apache\/flink\u3002<\/a><\/li>\n\n\n\n<li>Apache Beam\uff1aApache Beam\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u7edf\u4e00\u7f16\u7a0b\u6a21\u578b\uff0c\u5b83\u652f\u6301\u591a\u79cd\u6279\u5904\u7406\u548c\u6d41\u5904\u7406\u5f15\u64ce\uff0c\u5305\u62ecSpark\u3001Flink\u548cGoogle Cloud Dataflow\u7b49\u3002Beam\u7684\u6e90\u4ee3\u7801\u548c\u6587\u6863\u90fd\u5728Github\u4e0a\u5f00\u653e\uff0c\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/apache\/beam%E3%80%82\">https:\/\/github.com\/apache\/beam\u3002<\/a><\/li>\n\n\n\n<li>Apache Kylin\uff1aApache Kylin\u662f\u4e00\u4e2a\u5f00\u6e90\u7684OLAP\u5f15\u64ce\uff0c\u5b83\u57fa\u4e8eSpark\u548cHadoop\uff0c\u652f\u6301\u8d85\u5927\u89c4\u6a21\u7684\u6570\u636e\u67e5\u8be2\u548c\u5206\u6790\uff0c\u5177\u6709\u9ad8\u6548\u6027\u548c\u6613\u7528\u6027\u7684\u7279\u70b9\u3002Kylin\u7684\u6e90\u4ee3\u7801\u548c\u6587\u6863\u90fd\u5728Github\u4e0a\u5f00\u653e\uff0c\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/apache\/kylin%E3%80%82\">https:\/\/github.com\/apache\/kylin\u3002<\/a><\/li>\n\n\n\n<li>Alluxio\uff1aAlluxio\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf\uff0c\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u7684\u6570\u636e\u5171\u4eab\u548c\u8bbf\u95ee\u529f\u80fd\uff0c\u53ef\u4ee5\u4e0eSpark\u7b49\u5927\u6570\u636e\u5904\u7406\u5f15\u64ce\u65e0\u7f1d\u96c6\u6210\u3002Alluxio\u7684\u6e90\u4ee3\u7801\u548c\u6587\u6863\u90fd\u5728Github\u4e0a\u5f00\u653e\uff0c\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/alluxio\/alluxio%E3%80%82\">https:\/\/github.com\/alluxio\/alluxio\u3002<\/a><\/li>\n\n\n\n<li>DeepLearning4j\uff1aDeepLearning4j\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u57fa\u4e8eSpark\u548cHadoop\uff0c\u652f\u6301\u591a\u79cd\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u548c\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u5e94\u7528\u3002DeepLearning4j\u7684\u6e90\u4ee3\u7801\u548c\u6587\u6863\u90fd\u5728Github\u4e0a\u5f00\u653e\uff0c\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/eclipse\/deeplearning4j%E3%80%82\">https:\/\/github.com\/eclipse\/deeplearning4j\u3002<\/a><\/li>\n<\/ol>\n\n\n\n<p>\u8fd9\u4e9b\u7cfb\u7edf\u90fd\u662f\u57fa\u4e8eSpark\u7684\u4f18\u79c0\u7cfb\u7edf\uff0c\u5b83\u4eec\u90fd\u5728Github\u4e0a\u5f00\u653e\u4e86\u6e90\u4ee3\u7801\u548c\u76f8\u5173\u6587\u6863\uff0c\u53ef\u4ee5\u4f9b\u5f00\u53d1\u8005\u5b66\u4e60\u548c\u4f7f\u7528\u3002<\/p>\n\n\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/chat.openai.com\/_next\/image?url=https%3A%2F%2Flh3.googleusercontent.com%2Fa%2FAGNmyxbwVdnTP0E2eBqDrujRQjV-wFP12Thr4vFgysVv5A%3Ds96-c&amp;w=64&amp;q=75\" alt=\"gun tei\"\/><\/figure>\n\n\n\n<p>Github\u4e0a\u6709\u54ea\u4e9bSpark\u7684\u4f18\u79c0\u6559\u7a0b\u548c\u793e\u533a<\/p>\n\n\n\n<p>\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5728Github\u4e0a\u6709\u5173Spark\u7684\u4f18\u79c0\u6559\u7a0b\u548c\u793e\u533a\uff1a<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Learning Spark\uff08\u5b98\u65b9\u6559\u7a0b\uff09\uff1a\u8fd9\u662fApache Spark\u5b98\u65b9\u63d0\u4f9b\u7684\u6559\u7a0b\uff0c\u5b83\u5305\u542b\u4e86Spark\u7684\u57fa\u7840\u77e5\u8bc6\u3001\u7f16\u7a0b\u6a21\u578b\u3001\u6838\u5fc3\u6982\u5ff5\u548c\u5e94\u7528\u6848\u4f8b\u7b49\u5185\u5bb9\u3002\u5b98\u65b9\u6559\u7a0b\u7684Github\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/databricks\/learning-spark%E3%80%82\">https:\/\/github.com\/databricks\/learning-spark\u3002<\/a><\/li>\n\n\n\n<li>Spark Examples\uff1a\u8fd9\u662f\u4e00\u4e2aSpark\u793a\u4f8b\u7a0b\u5e8f\u7684\u5408\u96c6\uff0c\u5305\u542b\u4e86Spark SQL\u3001Spark Streaming\u3001Spark MLlib\u548cSpark GraphX\u7b49\u591a\u4e2a\u6a21\u5757\u7684\u793a\u4f8b\u7a0b\u5e8f\u3002\u8be5\u9879\u76ee\u7684Github\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/apache\/spark\/tree\/master\/examples%E3%80%82\">https:\/\/github.com\/apache\/spark\/tree\/master\/examples\u3002<\/a><\/li>\n\n\n\n<li>Awesome Spark\uff1a\u8fd9\u662f\u4e00\u4e2aSpark\u8d44\u6e90\u7684\u6536\u96c6\u5217\u8868\uff0c\u5305\u542b\u4e86Spark\u6559\u7a0b\u3001\u5de5\u5177\u3001\u5e94\u7528\u548c\u793e\u533a\u7b49\u65b9\u9762\u7684\u5185\u5bb9\u3002Awesome Spark\u7684Github\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/awesome-spark\/awesome-spark%E3%80%82\">https:\/\/github.com\/awesome-spark\/awesome-spark\u3002<\/a><\/li>\n\n\n\n<li>Sparkling Water\uff1a\u8fd9\u662f\u4e00\u4e2a\u57fa\u4e8eSpark\u548cH2O\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u63d0\u4f9b\u4e86\u591a\u79cd\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u548c\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u548c\u81ea\u7136\u8bed\u8a00\u5904\u7406\u7b49\u5e94\u7528\u3002Sparkling Water\u7684Github\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/h2oai\/sparkling-water%E3%80%82\">https:\/\/github.com\/h2oai\/sparkling-water\u3002<\/a><\/li>\n\n\n\n<li>Spark Community\uff1a\u8fd9\u662f\u4e00\u4e2aSpark\u793e\u533a\u7684\u5b98\u65b9\u7f51\u7ad9\uff0c\u5b83\u5305\u542b\u4e86Spark\u7684\u6700\u65b0\u8d44\u8baf\u3001\u6d3b\u52a8\u3001\u793e\u533a\u548c\u8d44\u6e90\u7b49\u5185\u5bb9\u3002Spark Community\u7684Github\u5730\u5740\u4e3a<a href=\"https:\/\/github.com\/apache\/spark-website%E3%80%82\">https:\/\/github.com\/apache\/spark-website\u3002<\/a><\/li>\n<\/ol>\n\n\n\n<p>\u4ee5\u4e0a\u8fd9\u4e9b\u6559\u7a0b\u548c\u793e\u533a\u90fd\u662f\u5728Github\u4e0a\u5173\u4e8eSpark\u7684\u4f18\u79c0\u8d44\u6e90\uff0c\u5b83\u4eec\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u597d\u5730\u4e86\u89e3Spark\u7684\u57fa\u7840\u77e5\u8bc6\u3001\u5e94\u7528\u573a\u666f\u548c\u6700\u4f73\u5b9e\u8df5\uff0c\u63d0\u5347Spark\u7684\u5e94\u7528\u80fd\u529b\u548c\u5f00\u53d1\u6c34\u5e73\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6211\u662f\u8981\u505aIT\u6559\u7a0b\u7684\u89c6\u9891\uff0c\u4f60\u80fd\u5426\u6839\u636e\u7f51\u7ad9\u7684 &hellip; 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