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src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160640-6888f190a78ac.png\" width=\"700\" \/><\/p>\n<h2 id=\"2%C2%A0%20%E7%9B%B8%E5%85%B3%E5%B7%A5%E5%85%B7%E5%8F%8A%E4%BB%8B%E7%BB%8D\" style=\"margin-left:0;margin-right:0;text-align:center\">2\u00a0 \u76f8\u5173\u5de5\u5177\u53ca\u4ecb\u7ecd<\/h2>\n<h3 id=\"2.1%C2%A0%20Python%E8%AF%AD%E8%A8%80\" style=\"background-color:transparent;margin-left:0px;margin-right:0px;text-align:justify\">2.1\u00a0 Python\u8bed\u8a00<\/h3>\n<p>Python\u662f\u7531\u8377\u5170\u6570\u5b66\u548c\u8ba1\u7b97\u673a\u7814\u7a76\u5b66\u4f1a\u7684\u5409\u591a\u00b7\u8303\u7f57\u82cf\u59c6\u4e8e20\u4e16\u7eaa90\u5e74\u4ee3\u8bbe\u8ba1\u7684\u4e00\u6b3e\u9ad8\u7ea7\u8bed\u8a00\u3002Python\u4f18\u96c5\u7684\u8bed\u6cd5\u548c\u52a8\u6001\u7c7b\u578b&#xff0c;\u4ee5\u53ca\u89e3\u91ca\u578b\u8bed\u8a00\u7684\u672c\u8d28&#xff0c;\u4f7f\u5b83\u6210\u4e3a\u8bb8\u591a\u9886\u57df\u811a\u672c\u7f16\u5199\u548c\u5feb\u901f\u5f00\u53d1\u5e94\u7528\u7684\u9996\u9009\u8bed\u8a00\u3002Python\u76f8\u6bd4\u4e0e\u5176\u4ed6\u9ad8\u7ea7\u8bed\u8a00&#xff0c;\u5f00\u53d1\u4ee3\u7801\u91cf\u8f83\u5c0f&#xff0c;\u4ee3\u7801\u98ce\u683c\u7b80\u6d01\u4f18\u96c5&#xff0c;\u62e5\u6709\u4e30\u5bcc\u7684\u7b2c\u4e09\u65b9\u5e93\u3002Python\u7684\u4ee3\u7801\u98ce\u683c\u5bfc\u81f4\u5176\u53ef\u8bfb\u6027\u597d&#xff0c;\u4fbf\u4e8e\u7ef4\u62a4\u4eba\u5458\u9605\u8bfb\u7ef4\u62a4&#xff0c;\u7a0b\u5e8f\u66f4\u52a0\u5065\u58ee\u3002Python\u80fd\u591f\u8f7b\u677e\u5730\u8c03\u7528\u5176\u4ed6\u8bed\u8a00\u7f16\u5199\u7684\u6a21\u5757&#xff0c;\u56e0\u6b64\u4e5f\u88ab\u6210\u4e3a\u201c\u80f6\u6c34\u8bed\u8a00\u201d\u3002<\/p>\n<h3 id=\"2.2%C2%A0%20hive%E7%AE%80%E4%BB%8B\" style=\"margin-left:0;margin-right:0;text-align:justify\">2.2\u00a0 hive\u7b80\u4ecb<\/h3>\n<p>Hive\u662f\u4e00\u4e2a\u6570\u636e\u4ed3\u5e93\u5de5\u5177&#xff0c;\u5f53\u628a\u7279\u5b9a\u7ed3\u6784\u5730\u6570\u636e\u6587\u4ef6\u5b58\u5165Hive\u5bf9\u5e94\u7684HDFS\u76ee\u5f55\u65f6&#xff0c;Hive\u80fd\u5c06\u5176\u6620\u5c04\u6210\u8868&#xff0c;\u5e76\u63d0\u4f9b\u7c7b SQL \u67e5\u8be2\u529f\u80fd\u3002\u5e95\u5c42\u4f1a\u5c06sql\u8bed\u53e5\u8f6c\u6210MapReduce\u7a0b\u5e8f&#xff0c;\u5927\u5927\u65b9\u4fbf\u7a0b\u5e8f\u5f00\u53d1&#xff0c;\u5176\u4e2d\u6267\u884c\u5f15\u64ce\u53ef\u4ee5\u66f4\u6362&#xff0c;\u6267\u884c\u6548\u7387\u5927\u5927\u63d0\u9ad8&#xff0c;Hive\u4e3b\u8981\u7528\u4e8e\u89e3\u51b3\u6d77\u91cf\u7ed3\u6784\u5316\u65e5\u5fd7\u7684\u6570\u636e\u7edf\u8ba1\u3002<\/p>\n<p>\u5728\u672c\u8bfe\u9898\u4e2d&#xff0c;\u914d\u7f6eHive\u4e3a\u4e3b\u8981\u6570\u636e\u4ed3\u5e93&#xff0c;\u6709\u4ee5\u4e0b\u51e0\u70b9\u539f\u56e0<\/p>\n<p>&#xff08;1&#xff09; Hive\u7684\u64cd\u4f5c\u63a5\u53e3\u91c7\u7528\u7c7bSQL\u8bed\u6cd5&#xff0c;\u63d0\u4f9b\u5feb\u901f\u5f00\u53d1\u80fd\u529b\u3002<\/p>\n<p>&#xff08;2&#xff09;\u76f8\u5bf9\u4e8e\u4f20\u7edf\u7684\u5173\u7cfb\u578b\u6570\u636e\u5e93&#xff0c;Hive\u66f4\u64c5\u957f\u4e8e\u6570\u636e\u5206\u6790\u3002<\/p>\n<p>&#xff08;3&#xff09; Hive\u652f\u6301\u7528\u6237\u81ea\u5b9a\u4e49\u51fd\u6570&#xff0c;\u7528\u6237\u53ef\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u6765\u5b9e\u73b0\u81ea\u5df1\u7684\u51fd\u6570\u3002<\/p>\n<p>&#xff08;4&#xff09; Hive\u57fa\u4e8eHDFS\u8fdb\u884c\u5b58\u50a8&#xff0c;\u6269\u5c55\u6027\u9ad8&#xff0c;\u53ef\u9760\u6027\u9ad8\u3002<\/p>\n<p>&#xff08;5&#xff09; Hive\u5e95\u5c42\u8ba1\u7b97\u5f15\u64ce\u53ef\u66f4\u6362\u3002<\/p>\n<p>\u7531\u4e8eHive\u9ed8\u8ba4\u5e95\u5c42\u5f15\u64ce\u4f4dMapReduce&#xff0c;MapReduce\u5728\u9047\u5230\u8fed\u4ee3\u5f0f\u4efb\u52a1\u65f6&#xff0c;\u4f1a\u5c06\u4efb\u52a1\u843d\u76d8\u81f3HDFS\u518d\u8fdb\u884c\u8fd0\u7b97&#xff0c;\u5bf9\u4e8e\u5927\u6279\u91cf\u6570\u636e\u5904\u7406\u6765\u8bf4&#xff0c;\u8fd9\u5f88\u5f71\u54cd\u6548\u7387&#xff0c;\u6240\u4ee5\u6211\u4eec\u4f1a\u5c06\u5f15\u64ce\u6539\u6210Tez\u3002<\/p>\n<p>2.3\u00a0 hadoop\u6280\u672f<\/p>\n<p>Hadoop \u662f Apache \u8f6f\u4ef6\u57fa\u91d1\u4f1a\u4e0b\u7684\u4e00\u4e2a\u5f00\u6e90\u5206\u5e03\u5f0f\u8ba1\u7b97\u5e73\u53f0&#xff0c;\u5b83\u4ee5\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edfHDFS\u548cMapReduce\u7b97\u6cd5\u4e3a\u6838\u5fc3\u3002Hadoop\u63d0\u4f9b\u4e86\u4e00\u4e2a\u53ef\u9760\u7684\u5171\u4eab\u5b58\u50a8\u4e0e\u5206\u6790\u7cfb\u7edf[2]\u3002\u7528\u6237\u53ef\u4ee5\u5728\u4e0d\u4e86\u89e3\u5206\u5e03\u5f0f\u5e95\u5c42\u7ec6\u8282\u7684\u60c5\u51b5\u4e0b&#xff0c;\u5f00\u53d1\u5206\u5e03\u5f0f\u7a0b\u5e8f&#xff0c;\u5145\u5206\u5229\u7528\u96c6\u7fa4\u7684\u5a01\u529b\u8fdb\u884c\u9ad8\u901f\u8fd0\u7b97\u548c\u5b58\u50a8\u3002<\/p>\n<p>Hadoop\u62e5\u6709\u4ee5\u4e0b4\u5927\u4f18\u52bf&#xff1a;<\/p>\n<p>&#xff08;1&#xff09; \u9ad8\u5bb9\u9519\u6027&#xff1a;Hadoop\u5e95\u5c42\u7ef4\u62a4\u591a\u4e2a\u6570\u636e\u526f\u672c&#xff0c;\u6240\u4ee5\u5373\u4f7fHadoop\u67d0\u4e2a\u8ba1\u7b97\u5143\u7d20\u6216\u5b58\u50a8\u51fa\u73b0\u6545\u969c&#xff0c;\u4e5f\u4e0d\u4f1a\u5bfc\u81f4\u6570\u636e\u7684\u4e22\u5931\u3002<\/p>\n<p>&#xff08;2&#xff09; \u9ad8\u6269\u5c55\u6027&#xff1a;\u5728\u96c6\u7fa4\u95f4\u5206\u914d\u4efb\u52a1\u6570\u636e&#xff0c;\u53ef\u65b9\u4fbf\u6269\u5c55\u6570\u4ee5\u5343\u8ba1\u7684\u8282\u70b9\u3002<\/p>\n<p>&#xff08;3&#xff09; \u9ad8\u6548\u6027&#xff1a;\u5728MapReduce\u7684\u601d\u60f3\u4e0b&#xff0c;Hadoop\u662f\u5e76\u884c\u5de5\u4f5c\u7684&#xff0c;\u5927\u5927\u52a0\u5feb\u4e86\u4efb\u52a1\u7684\u5904\u7406\u901f\u5ea6\u3002<\/p>\n<p>Hadoop\u5b9e\u73b0\u4e86\u4e00\u4e2a\u5206\u5e03\u5f0f\u6587\u4ef6\u7cfb\u7edf&#xff08; Distributed File System&#xff09;&#xff0c;\u5176\u4e2d\u4e00\u4e2a\u7ec4\u4ef6\u662fHDFS&#xff08;Hadoop Distributed File System&#xff09;\u3002HDFS\u6709\u9ad8\u5bb9\u9519\u6027\u7684\u7279\u70b9&#xff0c;\u5e76\u4e14\u8bbe\u8ba1\u7528\u6765\u90e8\u7f72\u5728\u4f4e\u5ec9\u7684&#xff08;low-cost&#xff09;\u786c\u4ef6\u4e0a&#xff1b;\u800c\u4e14\u5b83\u63d0\u4f9b\u9ad8\u541e\u5410\u91cf&#xff08;high throughput&#xff09;\u6765\u8bbf\u95ee\u5e94\u7528\u7a0b\u5e8f\u7684\u6570\u636e&#xff0c;\u9002\u5408\u90a3\u4e9b\u6709\u7740\u8d85\u5927\u6570\u636e\u96c6&#xff08;large data set&#xff09;\u7684\u5e94\u7528\u7a0b\u5e8f\u3002HDFS\u653e\u5bbd\u4e86&#xff08;relax&#xff09;POSIX\u7684\u8981\u6c42&#xff0c;\u53ef\u4ee5\u4ee5\u6d41\u7684\u5f62\u5f0f\u8bbf\u95ee&#xff08;streaming access&#xff09;\u6587\u4ef6\u7cfb\u7edf\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<p>\u5728\u672c\u8bfe\u9898\u4e2d&#xff0c;\u7531\u4e8e\u5176\u4e2d\u7684Mapreduce\u6846\u67b6\u5176\u8bbe\u8ba1\u521d\u8877\u5e76\u4e0d\u662f\u4e3a\u4e86\u6ee1\u8db3\u5faa\u73af\u8fed\u4ee3\u5f0f\u6570\u636e\u6d41\u5904\u7406&#xff0c;\u56e0\u6b64\u5728\u591a\u5e76\u884c\u8fd0\u884c\u7684\u6570\u636e\u53ef\u590d\u7528\u573a\u666f\u4e2d\u5b58\u5728\u8bf8\u591a\u8ba1\u7b97\u6548\u7387\u7b49\u95ee\u9898&#xff0c;Hadoop\u6846\u67b6\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u5b58\u50a8\u3002<\/p>\n<h3 id=\"2.5%C2%A0%20Spark\" style=\"margin-left:0;margin-right:0;text-align:justify\">2.5\u00a0 Spark<\/h3>\n<p>\u662f\u4e00\u79cdDAG&#xff08;\u6709\u5411\u65e0\u73af\u56fe&#xff09;\u7684&#xff0c;\u57fa\u4e8e\u5185\u5b58\u7684\u5feb\u901f\u3001\u901a\u7528\u3001\u53ef\u6269\u5c55\u7684\u5927\u6570\u636e\u5206\u6790\u8ba1\u7b97\u5f15\u64ce\u3002Spark \u662f\u5206\u5e03\u5f0f\u6570\u636e\u5feb\u901f\u5206\u6790\u9879\u76ee\u3002\u5b83\u7684\u6838\u5fc3\u6280\u672f\u662f\u5f39\u6027\u5206\u5e03\u5f0f\u6570\u636e\u96c6&#xff08;Resilient Distributed Datasets&#xff09;&#xff0c;\u7b80\u79f0RDD&#xff0c;\u63d0\u4f9b\u4e86\u6bd4 MapReduce \u4e30\u5bcc\u7684\u6a21\u578b&#xff0c;\u53ef\u4ee5\u5feb\u901f\u5728\u5185\u5b58\u4e2d\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u591a\u6b21\u8fed\u4ee3&#xff0c;\u4e0d\u50cfMapReduce\u9700\u8981\u843d\u76d8\u6570\u636e\u624d\u80fd\u8fdb\u884c\u8fed\u4ee3\u5f0f\u8fd0\u7b97&#xff0c;\u53ef\u652f\u6301\u590d\u6742\u7684\u6570\u636e\u6316\u6398\u7b97\u6cd5\u548c\u56fe\u5f62\u8ba1\u7b97\u7b97\u6cd5[4]\u3002Spark\u7684\u8fd0\u884c\u6a21\u5f0f\u5305\u62ecLocal\u3001Standalone\u3001Yarn\u53caMesos\u51e0\u79cd\u3002\u5176\u4e2dLocal\u6a21\u5f0f\u4ec5\u7528\u4e8e\u672c\u5730\u5f00\u53d1&#xff0c;Mesos\u6a21\u5f0f\u56fd\u5185\u51e0\u4e4e\u4e0d\u7528\u3002\u5728\u516c\u53f8\u4e2d\u56e0\u4e3a\u5927\u6570\u636e\u670d\u52a1\u57fa\u672c\u642d\u8f7dYarn\u96c6\u7fa4\u8c03\u5ea6&#xff0c;\u56e0\u6b64Spark On Yarn\u6a21\u5f0f\u4f1a\u7528\u7684\u6bd4\u8f83\u591a\u3002<\/p>\n<p>Spark\u662f\u4e00\u4e2a\u57fa\u4e8e\u5185\u5b58\u7684&#xff0c;\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u7684\u7edf\u4e00\u5206\u6790\u5f15\u64ce&#xff0c;\u5176\u8fd0\u7b97\u901f\u5ea6\u53ef\u4ee5\u8fbe\u5230Mapreduce\u768410-100\u500d\u3002\u5177\u6709\u5982\u4e0b\u7279\u70b9&#xff1a;\u5185\u5b58\u8ba1\u7b97\u3002Spark\u4f18\u5148\u5c06\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d&#xff0c;\u6570\u636e\u53ef\u4ee5\u88ab\u5feb\u901f\u5904\u7406&#xff0c;\u5e76\u53ef\u542f\u7528\u7f13\u5b58\u3002shuffle\u8fc7\u7a0b\u4f18\u5316\u3002\u548cMapreduce\u7684shuffle\u8fc7\u7a0b\u4e2d\u95f4\u6587\u4ef6\u9891\u7e41\u843d\u76d8\u4e0d\u540c&#xff0c;Spark\u5bf9Shuffle\u673a\u5236\u8fdb\u884c\u4e86\u4f18\u5316&#xff0c;\u964d\u4f4e\u4e2d\u95f4\u6587\u4ef6\u7684\u6570\u91cf\u5e76\u4fdd\u8bc1\u5185\u5b58\u4f18\u5148\u3002RDD\u8ba1\u7b97\u6a21\u578b\u3002Spark\u5177\u6709\u9ad8\u6548\u7684DAG\u8c03\u5ea6\u7b97\u6cd5&#xff0c;\u540c\u65f6\u5c06RDD\u8ba1\u7b97\u7ed3\u679c\u5b58\u50a8\u5728\u5185\u5b58\u4e2d&#xff0c;\u907f\u514d\u91cd\u590d\u8ba1\u7b97\u3002<\/p>\n<h3 id=\"2.4%C2%A0%E6%95%B0%E6%8D%AE%E9%87%87%E9%9B%86\" style=\"margin-left:0;margin-right:0;text-align:justify\">2.4\u00a0\u6570\u636e\u91c7\u96c6<\/h3>\n<p>\u8003\u8651\u5230\u66f4\u65b9\u4fbf\u540e\u7eed\u5bf9\u6570\u636e\u7684\u5904\u7406\u548c\u5206\u6790&#xff0c;\u5728\u91c7\u96c6\u89c6\u9891\u6570\u636e\u540e&#xff0c;\u9009\u62e9\u4e86\u5c06\u722c\u53d6\u5230\u7684\u6570\u636e\u5b58\u5165CSV\u6587\u4ef6\u4e2d\u3002CSV\u63d0\u4f9b\u4e86\u4e00\u79cd\u8f7b\u91cf\u7ea7\u3001\u4fbf\u6377\u7684\u65b9\u5f0f\u6765\u6279\u91cf\u5199\u5165\u6570\u636e\u4e14CSV\u6587\u4ef6\u8f83\u5c0f&#xff0c;\u4fbf\u4e8e\u5728\u7f51\u7edc\u95f4\u4f20\u8f93\u548c\u5206\u4eab&#xff0c;\u8fd9\u5bf9\u4e8e\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6\u5982Hadoop\u975e\u5e38\u6709\u5229\u3002\u800c\u4e14CSV\u4ee5\u7eaf\u6587\u672c\u5f62\u5f0f\u5b58\u50a8\u8868\u683c\u6570\u636e&#xff0c;\u6bcf\u884c\u4ee3\u8868\u4e00\u6761\u8bb0\u5f55&#xff0c;\u5404\u5b57\u6bb5\u7531\u9017\u53f7&#xff08;\u6216\u5176\u4ed6\u5206\u9694\u7b26&#xff09;\u5206\u9694\u3002\u8fd9\u79cd\u7ed3\u6784\u5316\u6570\u636e\u683c\u5f0f\u53ef\u4ee5\u88ab\u5404\u79cd\u7f16\u7a0b\u8bed\u8a00\u548c\u5de5\u5177\u89e3\u6790&#xff0c;\u5305\u62ecHadoop\u751f\u6001\u4e2d\u7684MapReduce\u7a0b\u5e8f\u3002<img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"481\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160640-6888f190b149f.png\" width=\"895\" \/><\/p>\n<h3 id=\"2.5%C2%A0%20%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2\" style=\"margin-left:0;margin-right:0;text-align:justify\">2.5\u00a0 \u73af\u5883\u90e8\u7f72<\/h3>\n<p>\u672c\u6587\u7684\u8f6f\u4ef6\u5f00\u53d1\u73af\u5883\u53ca\u8fd0\u884c\u73af\u5883\u5982\u4e0b\u3002\u64cd\u4f5c\u7cfb\u7edf&#xff1a;Linux&#xff1b;JDK&#xff1a;1.8.0_241 \u7248\u672c&#xff1b;Hadoop&#xff1a;hadoop-3.3.5\u7248\u672c&#xff1b;\u865a\u62df\u673a&#xff1a;VMware-16.0&#xff1b;\u6570\u636e\u5e93\u5de5\u5177&#xff1a;mysql-5.7.29\u7248\u672c\u3001SQLyog-13.2.0\u7248\u672c&#xff1b;\u6846\u67b6&#xff1a;Flask&#xff1b;\u53ef\u89c6\u5316\u5de5\u5177&#xff1a;Echarts\u3002<\/p>\n<p>\u4e3a\u4e86\u5b9e\u73b0\u57fa\u4e8e\u5927\u6570\u636e\u6280\u672f\u7684\u89c6\u9891\u6570\u636e\u5206\u6790\u4e0e\u7814\u7a76&#xff0c;\u9700\u8981\u642d\u5efaHadoop\u96c6\u7fa4&#xff0c;\u5b83\u53ef\u63d0\u4f9b\u6d77\u91cf\u6570\u636e\u7684\u5206\u5e03\u5f0f\u5b58\u50a8\u3001\u5206\u5e03\u5f0f\u8ba1\u7b97\u548c\u5206\u5e03\u5f0f\u7ba1\u7406\u529f\u80fd[9]\u3002\u9996\u5148\u521b\u5efa\u4e09\u53f0Linux\u7cfb\u7edf\u7684\u865a\u62df\u673a&#xff0c;\u4fee\u6539\u4e09\u53f0\u865a\u62df\u673a\u7684IP(192.168.144.131\u3001192.168.144.132\u3001192.168.144.133)\u5e76\u6dfb\u52a0\u514d\u5bc6\u767b\u5f55\u548c\u5b89\u88c5JDK\u4e0eHadoop&#xff0c;\u4fee\u6539Hadoop\u914d\u7f6e\u6587\u4ef6&#xff08;hadoop-env.sh\u3001core-site.xml\u3001hdfs-site.xml\u3001mapred-site.xml\u3001yarn-site.xml&#xff09;&#xff0c;\u5728\u7ec8\u7aef\u8fd0\u884chadoop namenode -format\u547d\u4ee4\u8fdb\u884c\u683c\u5f0f\u5316\u683c\u5f0f\u5316HDFS&#xff0c;\u6700\u540e\u542f\u52a8Hadoop&#xff08;start-all.sh)&#xff0c;\u80fd\u5728\u6d4f\u89c8\u5668\u4e2dhttp:\/\/1<span style=\"color:blue\">92.168.144.131:9870<\/span>\u67e5\u770b\u662f\u5426HDFS\u6b63\u5e38\u8fd0\u884c&#xff0c;\u8bbf\u95ee\u6210\u529f\u5982\u56fe4.1\u6240\u793a\u3002<\/p>\n<h3 id=\"2.6%C2%A0%20%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2\" style=\"background-color:transparent;margin-left:0px;margin-right:0px;text-align:justify\">2.6\u00a0 \u73af\u5883\u90e8\u7f72<\/h3>\n<p>\u672c\u6587\u7684\u8f6f\u4ef6\u5f00\u53d1\u73af\u5883\u53ca\u8fd0\u884c\u73af\u5883\u5982\u4e0b\u3002\u64cd\u4f5c\u7cfb\u7edf&#xff1a;Linux&#xff1b;JDK&#xff1a;1.8.0_241 \u7248\u672c&#xff1b;Hadoop&#xff1a;hadoop-3.3.5\u7248\u672c&#xff1b;\u865a\u62df\u673a&#xff1a;VMware-16.0&#xff1b;\u6570\u636e\u5e93\u5de5\u5177&#xff1a;mysql-5.7.29\u7248\u672c\u3001SQLyog-13.2.0\u7248\u672c&#xff1b;\u6846\u67b6&#xff1a;Flask&#xff1b;\u53ef\u89c6\u5316\u5de5\u5177&#xff1a;Echarts\u3002<\/p>\n<p>\u4e3a\u4e86\u5b9e\u73b0\u57fa\u4e8e\u5927\u6570\u636e\u6280\u672f\u7684\u89c6\u9891\u6570\u636e\u5206\u6790\u4e0e\u7814\u7a76&#xff0c;\u9700\u8981\u642d\u5efaHadoop\u96c6\u7fa4&#xff0c;\u5b83\u53ef\u63d0\u4f9b\u6d77\u91cf\u6570\u636e\u7684\u5206\u5e03\u5f0f\u5b58\u50a8\u3001\u5206\u5e03\u5f0f\u8ba1\u7b97\u548c\u5206\u5e03\u5f0f\u7ba1\u7406\u529f\u80fd[9]\u3002\u9996\u5148\u521b\u5efa\u4e09\u53f0Linux\u7cfb\u7edf\u7684\u865a\u62df\u673a&#xff0c;\u4fee\u6539\u4e09\u53f0\u865a\u62df\u673a\u7684IP(192.168.144.131\u3001192.168.144.132\u3001192.168.144.133)\u5e76\u6dfb\u52a0\u514d\u5bc6\u767b\u5f55\u548c\u5b89\u88c5JDK\u4e0eHadoop&#xff0c;\u4fee\u6539Hadoop\u914d\u7f6e\u6587\u4ef6&#xff08;hadoop-env.sh\u3001core-site.xml\u3001hdfs-site.xml\u3001mapred-site.xml\u3001yarn-site.xml&#xff09;&#xff0c;\u5728\u7ec8\u7aef\u8fd0\u884chadoop namenode -format\u547d\u4ee4\u8fdb\u884c\u683c\u5f0f\u5316\u683c\u5f0f\u5316HDFS&#xff0c;\u6700\u540e\u542f\u52a8Hadoop&#xff08;start-all.sh)&#xff0c;\u80fd\u5728\u6d4f\u89c8\u5668\u4e2dhttp:\/\/1<span style=\"color:blue\">92.168.144.131:9870<\/span>\u67e5\u770b\u662f\u5426HDFS\u6b63\u5e38\u8fd0\u884c&#xff0c;\u8bbf\u95ee\u6210\u529f\u5982\u56fe4.1\u6240\u793a\u3002<\/p>\n<h2 id=\"%E2%80%8B%E7%BC%96%E8%BE%91%E2%80%8B%E7%BC%96%E8%BE%91%E2%80%8B%E7%BC%96%E8%BE%91%E2%80%8B%E7%BC%96%E8%BE%91%E7%B3%BB%E7%BB%9F%E5%AE%9E%E7%8E%B0%E7%95%8C%E9%9D%A2%E5%B1%95%E7%A4%BA%EF%BC%9A\" style=\"background-color:transparent\"><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"433\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160640-6888f190ecebb.png\" width=\"888\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"480\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160641-6888f1912bcbb.png\" width=\"631\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"497\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160641-6888f1914f79f.png\" width=\"909\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"80\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160641-6888f1918fc1e.png\" width=\"700\" \/>\u7cfb\u7edf\u5b9e\u73b0\u754c\u9762\u5c55\u793a&#xff1a;<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"636\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160641-6888f19199b47.png\" width=\"1289\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"627\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160642-6888f192419b8.png\" width=\"1274\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"637\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160642-6888f192b3c7f.png\" width=\"1274\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"653\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160643-6888f19360037.png\" width=\"1262\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"632\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160644-6888f1940728f.png\" width=\"1276\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"628\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160644-6888f1949db18.png\" width=\"1269\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"633\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160645-6888f195186d2.png\" width=\"1284\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"632\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160645-6888f1957bbe7.png\" width=\"1265\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"634\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160646-6888f19618688.png\" width=\"1280\" \/><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"632\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160646-6888f196674b2.png\" width=\"1278\" \/><\/p>\n<h2 id=\"%E9%A2%84%E6%B5%8B%E4%BB%A3%E7%A0%81%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E6%A0%B8%E5%BF%83%E4%BB%A3%E7%A0%81%E4%BB%8B%E7%BB%8D%EF%BC%9A\">\u9884\u6d4b\u4ee3\u7801\u5927\u6570\u636e\u5206\u6790\u6838\u5fc3\u4ee3\u7801\u4ecb\u7ecd&#xff1a; \u00a0<\/h2>\n<p>&#039;user&#039;:user,<br \/>\n    &#039;password&#039;: passwd,<br \/>\n    &#039;database&#039;: dbName,<br \/>\n    &#039;port&#039;:port<br \/>\n}<\/p>\n<p>#\u83b7\u53d6\u9884\u6d4b\u53ef\u89c6\u5316\u56fe\u8868\u63a5\u53e3<br \/>\n&#064;main_bp.route(&#034;\/python0z9ftoqa\/tourismdataforecast\/forecastimgs&#034;, methods&#061;[&#039;GET&#039;,&#039;POST&#039;])<br \/>\ndef tourismdataforecast_forecastimgs():<br \/>\n    if request.method in [&#034;POST&#034;, &#034;GET&#034;]:<br \/>\n        msg &#061; {&#039;code&#039;: normal_code, &#039;message&#039;: &#039;success&#039;}<br \/>\n        # \u6307\u5b9a\u76ee\u5f55<br \/>\n        directory &#061; os.path.join(parent_directory, &#034;api&#034;, &#034;templates&#034;, &#034;upload&#034;, &#034;tourismdataforecast&#034;)<br \/>\n        # \u83b7\u53d6\u76ee\u5f55\u4e0b\u7684\u6240\u6709\u6587\u4ef6\u548c\u6587\u4ef6\u5939\u540d\u79f0<br \/>\n        all_items &#061; os.listdir(directory)<br \/>\n        # \u8fc7\u6ee4\u51fa\u6587\u4ef6&#xff08;\u6392\u9664\u6587\u4ef6\u5939&#xff09;<br \/>\n        files &#061; [f&#039;upload\/tourismdataforecast\/{item}&#039; for item in all_items if os.path.isfile(os.path.join(directory, item))]<br \/>\n        msg[&#034;data&#034;] &#061; files<br \/>\n        return jsonify(msg)<\/p>\n<p>&#064;main_bp.route(&#034;\/python0z9ftoqa\/tourismdataforecast\/forecast&#034;, methods&#061;[&#039;GET&#039;,&#039;POST&#039;])<br \/>\n#\u9884\u6d4b\u63a5\u53e3<br \/>\ndef tourismdataforecast_forecast():<br \/>\n    import datetime<br \/>\n    if request.method in [&#034;POST&#034;, &#034;GET&#034;]:#get\u3001post\u8bf7\u6c42<br \/>\n        msg &#061; {&#039;code&#039;: normal_code, &#039;message&#039;: &#039;success&#039;}<br \/>\n        #\u83b7\u53d6\u6570\u636e\u96c6<br \/>\n        req_dict &#061; session.get(&#034;req_dict&#034;)<br \/>\n        connection &#061; pymysql.connect(**mysql_config)<br \/>\n        query &#061; &#034;SELECT transportationconvenience,environmentalsanitation,qualityofservice,facilitycompleteness, score,scenicspot FROM tourismdata&#034;<br \/>\n        #\u5904\u7406\u7f3a\u5931\u503c<br \/>\n        data &#061; pd.read_sql(query, connection).dropna()<br \/>\n        id &#061; req_dict.pop(&#039;id&#039;,None)<br \/>\n        req_dict.pop(&#039;addtime&#039;,None)<br \/>\n        grouped &#061; data.groupby([<br \/>\n            &#039;scenicspot&#039;,<br \/>\n        ])<br \/>\n        df &#061; pd.DataFrame(columns&#061;[<br \/>\n            &#039;score&#039;,<br \/>\n            &#039;scenicspot&#039;,<br \/>\n        ])<br \/>\n        for (scenicspot), group in grouped:<br \/>\n            y_predict &#061; to_forecast(group,req_dict,&#039;&#039;.join((scenicspot)).replace(&#034;\/&#034;,&#034;&#034;))<br \/>\n            if not y_predict.empty:<br \/>\n                y_predict[&#039;scenicspot&#039;] &#061; scenicspot<br \/>\n                df &#061; pd.concat([df, y_predict], ignore_index&#061;True)<br \/>\n        #\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5,\u5c06DataFrame \u63d2\u5165\u6570\u636e\u5e93<br \/>\n        connection_string &#061; f&#034;mysql&#043;pymysql:\/\/{mysql_config[&#039;user&#039;]}:{mysql_config[&#039;password&#039;]}&#064;{mysql_config[&#039;host&#039;]}:{mysql_config[&#039;port&#039;]}\/{mysql_config[&#039;database&#039;]}&#034;<br \/>\n        engine &#061; create_engine(connection_string)<br \/>\n        try:<br \/>\n            if req_dict :<br \/>\n                #\u904d\u5386 DataFrame&#xff0c;\u5e76\u9010\u884c\u66f4\u65b0\u6570\u636e\u5e93<br \/>\n                with engine.connect() as connection:<br \/>\n                    for index, row in df.iterrows():<br \/>\n                        sql &#061; &#034;&#034;&#034;<br \/>\n                        INSERT INTO tourismdataforecast (id<br \/>\n                        ,score<br \/>\n                        )<br \/>\n                        VALUES (%(id)s<br \/>\n                    ,%(score)s<br \/>\n                        )<br \/>\n                        ON DUPLICATE KEY UPDATE<br \/>\n                        score &#061; VALUES(score)<br \/>\n                        &#034;&#034;&#034;<br \/>\n                        connection.execute(sql, {&#039;id&#039;: id<br \/>\n                            , &#039;score&#039;: row[&#039;score&#039;]<br \/>\n                        })<br \/>\n            else:<br \/>\n                df.to_sql(&#039;tourismdataforecast&#039;, con&#061;engine, if_exists&#061;&#039;append&#039;, index&#061;False)<br \/>\n            print(&#034;\u6570\u636e\u66f4\u65b0\u6210\u529f&#xff01;&#034;)<br \/>\n        except Exception as e:<br \/>\n            print(f&#034;\u53d1\u751f\u9519\u8bef: {e}&#034;)<br \/>\n        finally:<br \/>\n            engine.dispose()  # \u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<br \/>\n        return jsonify(msg)<\/p>\n<p>#\u8bad\u7ec3\u6570\u636e\u5e76\u8fdb\u884c\u9884\u6d4b<br \/>\ndef to_forecast(data,req_dict,value):<br \/>\n    if len(data) &lt; 5:<br \/>\n        print(f&#034;\u7684\u6837\u672c\u6570\u91cf\u4e0d\u8db3: {len(data)}&#034;)<br \/>\n        return pd.DataFrame()<br \/>\n    #\u5904\u7406\u7279\u5f81\u503c\u548c\u76ee\u6807\u503c<br \/>\n    labels&#061;{}<br \/>\n    for key in data.keys():<br \/>\n        if pd.api.types.is_string_dtype(data[key]):<br \/>\n            label_encoder &#061; LabelEncoder()<br \/>\n            labels[key] &#061; label_encoder<br \/>\n            data[key] &#061; label_encoder.fit_transform(data[key])<br \/>\n    #\u6570\u636e\u96c6\u5212\u5206<br \/>\n    X &#061; data[[<br \/>\n        &#039;transportationconvenience&#039;,<br \/>\n        &#039;environmentalsanitation&#039;,<br \/>\n        &#039;qualityofservice&#039;,<br \/>\n        &#039;facilitycompleteness&#039;,<br \/>\n    ]]<br \/>\n    y &#061; data[[<br \/>\n        &#039;score&#039;,<br \/>\n    ]]<br \/>\n    x_train, x_test, y_train, y_test &#061; train_test_split(X, y,test_size&#061;0.2, random_state&#061;22)<br \/>\n    #\u6784\u5efa\u9884\u6d4b\u7279\u5f81\u503c<br \/>\n    #\u6839\u636e\u8f93\u5165\u7684\u7279\u5f81\u503c\u53bb\u9884\u6d4b<br \/>\n    if req_dict:<br \/>\n        req_dict.pop(&#039;addtime&#039;,None)<br \/>\n        future_df &#061; pd.DataFrame([req_dict])<br \/>\n        for key in future_df.keys():<br \/>\n           if key in labels:<br \/>\n               encoder &#061; labels[key]<br \/>\n               values &#061; future_df[key][0]<br \/>\n               try:<br \/>\n                   values &#061; encoder.transform([values])[0]<br \/>\n               except ValueError as e: #\u5904\u7406\u672a\u89c1\u8fc7\u7684\u6807\u7b7e<br \/>\n                   values &#061; np.array([encoder.transform([v])[0] if v in encoder.classes_ else -1 for v in values]).sum()<br \/>\n               future_df[key][0] &#061; values<br \/>\n    else:<br \/>\n        future_df &#061; x_test<br \/>\n    #\u7279\u5f81\u5de5\u7a0b-\u6807\u51c6\u5316<br \/>\n    estimator_file &#061; os.path.join(parent_directory, &#034;tourismdataforecast.pkl&#034;)<br \/>\n    estimator &#061; RandomForestRegressor(n_estimators&#061;100, random_state&#061;42)<br \/>\n    _, num_columns &#061; y_train.shape<br \/>\n    if num_columns&gt;&#061;2:<br \/>\n        estimator.fit(x_train, y_train)<br \/>\n    else:<br \/>\n        estimator.fit(x_train, y_train.values.ravel())<br \/>\n    y_pred &#061; estimator.predict(x_test)<br \/>\n    plt.rcParams[&#039;font.sans-serif&#039;] &#061; [&#039;SimHei&#039;,&#039;simhei&#039;]  # \u4f7f\u7528\u9ed1\u4f53 SimHei<br \/>\n    plt.rcParams[&#039;axes.unicode_minus&#039;] &#061; False  # \u89e3\u51b3\u8d1f\u53f7 &#039;-&#039; \u663e\u793a\u4e3a\u65b9\u5757\u7684\u95ee\u9898<br \/>\n    # \u7ed8\u5236\u9884\u6d4b\u503c\u4e0e\u5b9e\u9645\u503c\u7684\u6563\u70b9\u56fe<br \/>\n    plt.scatter(y_test, y_test, alpha&#061;0.5)<br \/>\n    plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color&#061;&#039;red&#039;, lw&#061;2)<\/p>\n<p>    plt.xlabel(&#034;\u5b9e\u9645\u503c&#034;)<br \/>\n    plt.ylabel(&#034;\u9884\u6d4b\u503c&#034;)<br \/>\n    plt.title(&#034;\u5b9e\u9645\u503c\u4e0e\u9884\u6d4b\u503c(\u968f\u673a\u68ee\u6797\u56de\u5f52)&#034;)<br \/>\n    directory &#061;os.path.join(parent_directory,&#034;api&#034;, &#034;templates&#034;,&#034;upload&#034;,&#034;tourismdataforecast&#034;,&#034;figure.png&#034;)<br \/>\n    os.makedirs(os.path.dirname(directory), exist_ok&#061;True)<br \/>\n    plt.savefig(directory)<br \/>\n    plt.clf()<br \/>\n    # \u7ed8\u5236\u7279\u5f81\u91cd\u8981\u6027<br \/>\n    feature_importances &#061; estimator.feature_importances_<br \/>\n    features &#061; [<br \/>\n        &#039;transportationconvenience&#039;,<br \/>\n        &#039;environmentalsanitation&#039;,<br \/>\n        &#039;qualityofservice&#039;,<br \/>\n        &#039;facilitycompleteness&#039;,<br \/>\n    ]<br \/>\n    plt.figure(figsize&#061;(8, 4))<br \/>\n    sns.barplot(x&#061;feature_importances, y&#061;features)<br \/>\n    plt.xlabel(&#034;\u91cd\u8981\u6027\u5f97\u5206&#034;)<br \/>\n    plt.ylabel(&#034;\u7279\u5f81&#034;)<br \/>\n    plt.title(&#034;\u7279\u5f81\u91cd\u8981\u6027&#034;)<br \/>\n    if value!&#061;None:<br \/>\n        directory &#061;os.path.join(parent_directory,&#034;api&#034;, &#034;templates&#034;,&#034;upload&#034;,&#034;tourismdataforecast&#034;,&#034;{value}_figure.png&#034;)<br \/>\n        os.makedirs(os.path.dirname(directory), exist_ok&#061;True)<br \/>\n        plt.savefig(directory)<br \/>\n    else:<br \/>\n        directory &#061;os.path.join(parent_directory,&#034;api&#034;, &#034;templates&#034;,&#034;upload&#034;,&#034;tourismdataforecast&#034;,&#034;figure_other.png&#034;)<br \/>\n        os.makedirs(os.path.dirname(directory), exist_ok&#061;True)<br \/>\n        plt.savefig(directory)<br \/>\n    plt.clf()<br \/>\n    #\u4fdd\u5b58\u6a21\u578b <\/p>\n<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"80\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/07\/20250729160646-6888f196e1bfb.png\" width=\"700\" \/><\/p>\n<h3 id=\"2.7%C2%A0%E6%B5%8B%E8%AF%95%E6%A6%82%E8%BF%B0\">2.7\u00a0\u6d4b\u8bd5\u6982\u8ff0<\/h3>\n<p>\u7cfb\u7edf\u6d4b\u8bd5\u5c31\u662f\u5bf9\u9879\u76ee\u662f\u5426\u5b58\u5728\u9519\u8bef\u800c\u8fd0\u884c\u7a0b\u5e8f\u7684\u4e00\u79cd\u68c0\u6d4b\u65b9\u5f0f\u3002\u7cfb\u7edf\u6d4b\u8bd5\u5bf9\u4e8e\u4e00\u4e2a\u8f6f\u4ef6\u6765\u8bf4\u6781\u4e3a\u91cd\u8981&#xff0c;\u5e76\u4e14\u5728\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u5360\u6709\u5f88\u5927\u7684\u6bd4\u91cd\u3002\u6bcf\u4e00\u6b21\u529f\u80fd\u7684\u5b9e\u73b0\u90fd\u4f34\u968f\u7740\u5f88\u591a\u6b21\u7684\u6d4b\u8bd5\u3002\u5b83\u662f\u8f6f\u4ef6\u662f\u5426\u80fd\u7528\u7684\u68c0\u6d4b\u73af\u8282&#xff0c;\u5bf9\u4e8e\u8f6f\u4ef6\u8d28\u91cf\u7684\u8bc4\u4f30\u6709\u7740\u91cd\u8981\u5f71\u54cd\u3002\u7cfb\u7edf\u80fd\u5426\u88ab\u9a8c\u6536\u6210\u529f\u662f\u6d4b\u8bd5\u4e2d\u6700\u540e\u4e00\u4e2a\u81f3\u5173\u91cd\u8981\u7684\u73af\u8282\u3002<\/p>\n<h3 id=\"2.8%E8%BD%AF%E4%BB%B6%E6%B5%8B%E8%AF%95%E5%8E%9F%E5%88%99\">2.8\u8f6f\u4ef6\u6d4b\u8bd5\u539f\u5219<\/h3>\n<p>\u5f53\u8fdb\u884c\u8f6f\u4ef6\u6d4b\u8bd5\u65f6&#xff0c;\u6709\u4e00\u4e9b\u539f\u5219\u9700\u8981\u9075\u5faa&#xff0c;\u4ee5\u786e\u4fdd\u6d4b\u8bd5\u7684\u6709\u6548\u6027\u548c\u6548\u7387\u3002<\/p>\n<p>\u7b2c\u4e00&#xff1a;\u6d4b\u8bd5\u5e94\u8be5\u5c3d\u65e9\u5f00\u59cb\u3002\u5728\u9700\u6c42\u5206\u6790\u548c\u7cfb\u7edf\u8bbe\u8ba1\u9636\u6bb5\u5c31\u5e94\u8be5\u8fdb\u884c\u6d4b\u8bd5\u51c6\u5907&#xff0c;\u4ee5\u4fbf\u5c3d\u65e9\u53d1\u73b0\u7cfb\u7edf\u7684\u4e0d\u8db3\u4e4b\u5904\u3002\u8fd9\u6837\u53ef\u4ee5\u964d\u4f4e\u4fee\u590d\u6210\u672c&#xff0c;\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002\u6d4b\u8bd5\u4eba\u5458\u5e94\u8be5\u5728\u5206\u6790\u9700\u6c42\u65f6\u5c31\u53c2\u4e0e\u8fdb\u6765&#xff0c;\u786e\u4fdd\u9700\u6c42\u5177\u5907\u53ef\u6d4b\u8bd5\u6027\u548c\u6b63\u786e\u6027\u3002<\/p>\n<p>\u7b2c\u4e8c&#xff1a;\u6d4b\u8bd5\u5e94\u8be5\u662f\u5168\u9762\u7684\u3002\u6d4b\u8bd5\u5e94\u8be5\u8986\u76d6\u8f6f\u4ef6\u7684\u5404\u4e2a\u529f\u80fd\u6a21\u5757\u548c\u4e0d\u540c\u7684\u4f7f\u7528\u573a\u666f&#xff0c;\u4ee5\u786e\u4fdd\u8f6f\u4ef6\u5728\u5404\u79cd\u60c5\u51b5\u4e0b\u90fd\u80fd\u6b63\u5e38\u8fd0\u884c\u3002\u6d4b\u8bd5\u8fd8\u5e94\u8be5\u5173\u6ce8\u8f6f\u4ef6\u7684\u6027\u80fd\u3001\u5b89\u5168\u6027\u548c\u53ef\u7528\u6027\u7b49\u65b9\u9762&#xff0c;\u4ee5\u5168\u9762\u8bc4\u4f30\u8f6f\u4ef6\u7684\u8d28\u91cf\u3002<\/p>\n<p>\u968f\u7740\u8f6f\u4ef6\u5f00\u53d1\u7684\u590d\u6742\u6027\u589e\u52a0&#xff0c;\u624b\u52a8\u6d4b\u8bd5\u5df2\u7ecf\u65e0\u6cd5\u6ee1\u8db3\u9700\u6c42\u3002\u81ea\u52a8\u5316\u6d4b\u8bd5\u53ef\u4ee5\u63d0\u9ad8\u6d4b\u8bd5\u7684\u6548\u7387\u548c\u51c6\u786e\u6027&#xff0c;\u51cf\u5c11\u4eba\u4e3a\u9519\u8bef\u3002\u901a\u8fc7\u7f16\u5199\u81ea\u52a8\u5316\u6d4b\u8bd5\u811a\u672c&#xff0c;\u53ef\u4ee5\u5feb\u901f\u6267\u884c\u5927\u91cf\u7684\u6d4b\u8bd5\u7528\u4f8b&#xff0c;\u5e76\u53ca\u65f6\u53d1\u73b0\u95ee\u9898\u3002\u8f6f\u4ef6\u7684\u5f00\u53d1\u662f\u4e00\u4e2a\u8fed\u4ee3\u7684\u8fc7\u7a0b&#xff0c;\u6bcf\u4e2a\u8fed\u4ee3\u90fd\u4f1a\u5f15\u5165\u65b0\u529f\u80fd\u548c\u4fee\u590d\u65e7\u95ee\u9898\u3002\u56e0\u6b64&#xff0c;\u6d4b\u8bd5\u4e5f\u5e94\u8be5\u662f\u4e00\u4e2a\u6301\u7eed\u7684\u8fc7\u7a0b&#xff0c;\u4e0e\u5f00\u53d1\u540c\u6b65\u8fdb\u884c\u3002\u6301\u7eed\u96c6\u6210\u548c\u6301\u7eed\u4ea4\u4ed8\u7b49\u6280\u672f\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0\u6301\u7eed\u6d4b\u8bd5&#xff0c;\u786e\u4fdd\u8f6f\u4ef6\u5728\u6bcf\u4e2a\u8fed\u4ee3\u4e2d\u90fd\u80fd\u8fbe\u5230\u9884\u671f\u7684\u8d28\u91cf\u6807\u51c6\u3002\u901a\u8fc7\u6d4b\u8bd5\u4e0d\u4ec5\u4ec5\u662f\u4e3a\u4e86\u53d1\u73b0\u95ee\u9898&#xff0c;\u66f4\u91cd\u8981\u7684\u662f\u63d0\u4f9b\u6709\u4ef7\u503c\u7684\u53cd\u9988\u7ed9\u5f00\u53d1\u4eba\u5458\u3002\u6d4b\u8bd5\u4eba\u5458\u5e94\u8be5\u53ca\u65f6\u5411\u5f00\u53d1\u4eba\u5458\u62a5\u544a\u95ee\u9898&#xff0c;\u5e76\u63d0\u4f9b\u8be6\u7ec6\u7684\u590d\u73b0\u6b65\u9aa4\u548c\u73af\u5883\u4fe1\u606f&#xff0c;\u4ee5\u4fbf\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u5feb\u901f\u5b9a\u4f4d\u548c\u89e3\u51b3\u95ee\u9898\u3002<\/p>\n<h3 id=\"2.9%E6%B5%8B%E8%AF%95%E7%94%A8%E4%BE%8B\">2.9\u6d4b\u8bd5\u7528\u4f8b<\/h3>\n<p>&#xff08;1&#xff09;\u7528\u6237\u767b\u9646\u6d4b\u8bd5\u7528\u4f8b<\/p>\n<p>\u8868 6-1 \u7528\u6237\u767b\u5f55\u7528\u4f8b\u8868<\/p>\n<table align=\"center\" cellspacing=\"0\">\n<tbody>\n<tr>\n<td>\n<p>\u9879\u76ee\/\u8f6f\u4ef6<\/p>\n<\/td>\n<td>\n<\/td>\n<td colspan=\"2\">\n<p>\u7f16\u5236\u65f6\u95f4<\/p>\n<\/td>\n<td colspan=\"3\">\n<p>20xx\/xx\/xx<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u529f\u80fd\u6a21\u5757\u540d<\/p>\n<\/td>\n<td>\n<p>\u7528\u6237\u767b\u9646\u6a21\u5757<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u7528\u4f8b\u7f16\u53f7<\/p>\n<\/td>\n<td colspan=\"3\">\n<p>xxxx<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u529f\u80fd\u7279\u6027<\/p>\n<\/td>\n<td colspan=\"6\">\n<p>\u7528\u6237\u8eab\u4efd\u9a8c\u8bc1<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u6d4b\u8bd5\u76ee\u7684<\/p>\n<\/td>\n<td colspan=\"6\">\n<p>\u9a8c\u8bc1\u662f\u5426\u8f93\u5165\u5408\u6cd5\u7684\u4fe1\u606f&#xff0c;\u5141\u8bb8\u5408\u6cd5\u767b\u9646&#xff0c;\u963b\u6b62\u975e\u6cd5\u767b\u9646<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u6d4b\u8bd5\u6570\u636e<\/p>\n<\/td>\n<td colspan=\"6\">\n<p>\u7528\u6237\u540d&#061;1\u5bc6\u7801&#061;a1\u8eab\u4efd&#061; \u975e\u8ba4\u8bc1\u7528\u6237<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u64cd\u4f5c\u6b65\u9aa4<\/p>\n<\/td>\n<td>\n<p>\u64cd\u4f5c\u63cf\u8ff0<\/p>\n<\/td>\n<td>\n<p>\u6570 \u636e<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u671f\u671b\u7ed3\u679c<\/p>\n<\/td>\n<td>\n<p>\u5b9e\u9645\u7ed3\u679c<\/p>\n<\/td>\n<td>\n<p>\u72b6\u6001<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>1<\/p>\n<\/td>\n<td>\n<p>\u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801<\/p>\n<\/td>\n<td>\n<p>\u7528\u6237\u540d&#061; 1\u5bc6\u7801&#061;1<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u663e\u793a\u8fdb\u5165\u540e\u7684\u9875\u9762\u3002<\/p>\n<\/td>\n<td>\n<p>\u540c\u671f\u671b\u7ed3\u679c\u3002<\/p>\n<\/td>\n<td>\n<p>\u6b63\u5e38<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>2<\/p>\n<\/td>\n<td>\n<p>\u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801<\/p>\n<\/td>\n<td>\n<p>\u7528\u6237\u540d&#061; 1\u5bc6\u7801&#061;aaa<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u663e\u793a\u8b66\u544a\u4fe1\u606f\u201c\u4e0d\u5b58\u5728\u8be5\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef&#xff01;\u201d<\/p>\n<\/td>\n<td>\n<p>\u540c\u671f\u671b\u7ed3\u679c\u3002<\/p>\n<\/td>\n<td>\n<p>\u6b63\u5e38<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>3<\/p>\n<\/td>\n<td>\n<p>\u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801<\/p>\n<\/td>\n<td>\n<p>\u7528\u6237\u540d&#061; aaa\u5bc6\u7801&#061;1<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u663e\u793a\u8b66\u544a\u4fe1\u606f\u201c\u4e0d\u5b58\u5728\u8be5\u7528\u6237\u540d\u6216\u5bc6\u7801\u9519\u8bef\u201d<\/p>\n<\/td>\n<td>\n<p>\u540c\u671f\u671b\u7ed3\u679c\u3002<\/p>\n<\/td>\n<td>\n<p>\u6b63\u5e38<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>4<\/p>\n<\/td>\n<td>\n<p>\u8f93\u5165\u7528\u6237\u540d\u548c\u5bc6\u7801<\/p>\n<\/td>\n<td>\n<p>\u7528\u6237\u540d&#061;\u201c\u201d \u5bc6\u7801&#061;\u201c\u201d<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u663e\u793a\u8b66\u544a\u4fe1\u606f\u201c\u7528\u6237\u540d\u5bc6\u7801\u4e0d\u80fd\u4e3a\u7a7a&#xff01;\u201d<\/p>\n<\/td>\n<td>\n<p>\u540c\u671f\u671b\u7ed3\u679c\u3002<\/p>\n<\/td>\n<td>\n<p>\u6b63\u5e38<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&#xff08;2&#xff09;\u7528\u6237\u6ce8\u518c\u6d4b\u8bd5\u7528\u4f8b<\/p>\n<p>\u8868 6-2\u00a0 \u7528\u6237\u6ce8\u518c\u7528\u4f8b\u8868<\/p>\n<table align=\"center\" border=\"1\" cellspacing=\"0\">\n<tbody>\n<tr>\n<td>\n<p>\u9879\u76ee\/\u8f6f\u4ef6<\/p>\n<\/td>\n<td colspan=\"2\">\n<\/td>\n<td>\n<p>\u7f16\u5236\u65f6\u95f4<\/p>\n<\/td>\n<td colspan=\"4\">\n<p>20xx\/xx\/xx<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u529f\u80fd\u6a21\u5757\u540d<\/p>\n<\/td>\n<td colspan=\"2\">\n<p>\u7528\u6237\u6ce8\u518c\u6a21\u5757<\/p>\n<\/td>\n<td>\n<p>\u7528\u4f8b\u7f16\u53f7<\/p>\n<\/td>\n<td colspan=\"4\">\n<p>xxxx<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u529f\u80fd\u7279\u6027<\/p>\n<\/td>\n<td colspan=\"7\">\n<p>\u7528\u6237\u6ce8\u518c<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u6d4b\u8bd5\u76ee\u7684<\/p>\n<\/td>\n<td colspan=\"7\">\n<p>\u9a8c\u8bc1\u79c1\u6ce8\u518c\u662f\u5426\u6210\u529f&#xff0c;\u6ce8\u518c\u6570\u636e\u662f\u5426\u5408\u6cd5<\/p>\n<\/td>\n<\/tr>\n<tr>\n<td>\n<p>\u6d4b\u8bd5\u6570\u636e<\/p>\n<\/td>\n<td colspan=\"7\">\n<p>\u7528\u6237\u540d&#061;aaa 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