{"id":114151,"date":"2026-10-08T12:41:25","date_gmt":"2026-10-08T04:41:25","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/114151.html"},"modified":"2026-10-08T12:41:25","modified_gmt":"2026-10-08T04:41:25","slug":"%e3%80%902027%e5%a4%a7%e6%95%b0%e6%8d%ae%e6%af%95%e8%ae%be%e3%80%91%e5%9f%ba%e4%ba%8e%e5%a4%a7%e6%95%b0%e6%8d%ae%e7%9a%84%e5%ae%ab%e9%a2%88%e7%99%8c%e5%8f%98%e8%bf%9b%e7%a8%8b%e5%85%89%e8%b0%b1","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/114151.html","title":{"rendered":"\u30102027\u5927\u6570\u636e\u6bd5\u8bbe\u3011\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u5149\u8c31\u7279\u5f81\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316 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API\u670d\u52a1&#xff0c;\u524d\u7aef\u57fa\u4e8eVue\u6846\u67b6\u914d\u5408ElementUI\u4e0eECharts\u642d\u5efa\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u754c\u9762&#xff0c;MySQL\u6570\u636e\u5e93\u5b58\u50a8\u7528\u6237\u4fe1\u606f\u3001\u5149\u8c31\u6837\u672c\u57fa\u7840\u6807\u7b7e\u53ca\u5206\u6790\u4efb\u52a1\u8bb0\u5f55\u3002\u7cfb\u7edf\u56f4\u7ed5\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u7684\u5149\u8c31\u6570\u636e\u7279\u6027&#xff0c;\u91cd\u70b9\u5b9e\u73b0\u5149\u8c31\u57fa\u7840\u753b\u50cf\u3001\u5149\u8c31\u6570\u636e\u7ba1\u7406\u4e0e\u4e2a\u4eba\u4fe1\u606f\u7ef4\u62a4\u4e09\u4e2a\u6838\u5fc3\u529f\u80fd\u6a21\u5757&#xff0c;\u8986\u76d6\u4ece\u539f\u59cb\u6570\u636e\u5165\u5e93\u3001\u7279\u5f81\u8ba1\u7b97\u5230\u753b\u50cf\u5c55\u793a\u7684\u5b8c\u6574\u94fe\u6761&#xff0c;\u4e3a\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u7814\u7a76\u63d0\u4f9b\u6570\u636e\u652f\u6491\u4e0e\u53ef\u89c6\u5316\u5206\u6790\u624b\u6bb5\u3002<\/p>\n<h2>\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u5149\u8c31\u7279\u5f81\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u6f14\u793a\u89c6\u9891<\/h2>\n<p>\u6f14\u793a\u89c6\u9891<\/p>\n<h2>\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u5149\u8c31\u7279\u5f81\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u6f14\u793a\u56fe\u7247<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044121-6ac71ef10d425.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044121-6ac71ef1d3f04.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044122-6ac71ef237281.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044122-6ac71ef28bbe2.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044122-6ac71ef2dfca8.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044123-6ac71ef34e6a3.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044123-6ac71ef3a2bf2.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/> <img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044123-6ac71ef3f1cfb.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<h2>\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u5149\u8c31\u7279\u5f81\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u4ee3\u7801\u5c55\u793a<\/h2>\n<p><span class=\"token keyword\">from<\/span> pyspark<span class=\"token punctuation\">.<\/span>sql <span class=\"token keyword\">import<\/span> SparkSession<br \/>\n<span class=\"token keyword\">from<\/span> pyspark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">.<\/span>functions <span class=\"token keyword\">import<\/span> col<span class=\"token punctuation\">,<\/span> avg<span class=\"token punctuation\">,<\/span> stddev<span class=\"token punctuation\">,<\/span> count<span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">sum<\/span> <span class=\"token keyword\">as<\/span> spark_sum<span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">max<\/span> <span class=\"token keyword\">as<\/span> spark_max<span class=\"token punctuation\">,<\/span> <span class=\"token builtin\">min<\/span> <span class=\"token keyword\">as<\/span> spark_min<\/p>\n<p>spark <span class=\"token operator\">&#061;<\/span> SparkSession<span class=\"token punctuation\">.<\/span>builder<span class=\"token punctuation\">.<\/span>appName<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;CervicalCancerSpectrumAnalysis&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>config<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;spark.sql.adaptive.enabled&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;true&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>config<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;spark.sql.adaptive.coalescePartitions.enabled&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;true&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>getOrCreate<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><\/p>\n<p><span class=\"token comment\"># \u529f\u80fd\u4e00&#xff1a;\u5149\u8c31\u57fa\u7840\u753b\u50cf &#8211; \u8ba1\u7b97\u4e0d\u540c\u75c5\u53d8\u9636\u6bb5\u7684\u5149\u8c31\u7edf\u8ba1\u7279\u5f81\u5e76\u751f\u6210\u753b\u50cf\u6570\u636e<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">generate_spectrum_profile<\/span><span class=\"token punctuation\">(<\/span>sample_ids<span class=\"token punctuation\">,<\/span> stage_list<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    hdfs_path <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;hdfs:\/\/namenode:9000\/data\/spectrum_clean&#034;<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>parquet<span class=\"token punctuation\">(<\/span>hdfs_path<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sample_id&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>isin<span class=\"token punctuation\">(<\/span>sample_ids<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stage&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>isin<span class=\"token punctuation\">(<\/span>stage_list<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>groupBy<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stage&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>agg<span class=\"token punctuation\">(<\/span>avg<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>alias<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;avg_intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> stddev<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>alias<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;std_intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> count<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sample_id&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>alias<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sample_count&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> spark_sum<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>alias<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sum_intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_pd <span class=\"token operator\">&#061;<\/span> profile_df<span class=\"token punctuation\">.<\/span>toPandas<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    profile_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;cv&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> profile_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;std_intensity&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">\/<\/span> profile_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;avg_intensity&#034;<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    result_dict <span class=\"token operator\">&#061;<\/span> profile_pd<span class=\"token punctuation\">.<\/span>to_dict<span class=\"token punctuation\">(<\/span>orient<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;records&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> item <span class=\"token keyword\">in<\/span> result_dict<span class=\"token punctuation\">:<\/span><br \/>\n        stage <span class=\"token operator\">&#061;<\/span> item<span class=\"token punctuation\">.<\/span>get<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stage&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        df_stage <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stage&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> stage<span class=\"token punctuation\">)<\/span><br \/>\n        max_val <span class=\"token operator\">&#061;<\/span> df_stage<span class=\"token punctuation\">.<\/span>select<span class=\"token punctuation\">(<\/span>spark_max<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>collect<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        min_val <span class=\"token operator\">&#061;<\/span> df_stage<span class=\"token punctuation\">.<\/span>select<span class=\"token punctuation\">(<\/span>spark_min<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>collect<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        item<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;max_intensity&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> max_val<br \/>\n        item<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;min_intensity&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> min_val<br \/>\n        quantiles <span class=\"token operator\">&#061;<\/span> df_stage<span class=\"token punctuation\">.<\/span>approxQuantile<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token punctuation\">[<\/span><span class=\"token number\">0.25<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.5<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.75<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token number\">0.01<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        item<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;q1&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> quantiles<span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        item<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;median&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> quantiles<span class=\"token punctuation\">[<\/span><span class=\"token number\">1<\/span><span class=\"token punctuation\">]<\/span><br \/>\n        item<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;q3&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> quantiles<span class=\"token punctuation\">[<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">]<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>catalog<span class=\"token punctuation\">.<\/span>clearCache<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> result_dict<\/p>\n<p><span class=\"token comment\"># \u529f\u80fd\u4e8c&#xff1a;\u5149\u8c31\u6570\u636e\u7ba1\u7406 &#8211; \u6839\u636e\u6761\u4ef6\u5206\u9875\u67e5\u8be2\u5149\u8c31\u6570\u636e\u8bb0\u5f55\u5e76\u8fd4\u56de\u524d\u7aef\u8868\u683c\u5c55\u793a<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">query_spectrum_data<\/span><span class=\"token punctuation\">(<\/span>page<span class=\"token punctuation\">,<\/span> limit<span class=\"token punctuation\">,<\/span> sample_id<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">,<\/span> stage<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">,<\/span> min_intensity<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">,<\/span> max_intensity<span class=\"token operator\">&#061;<\/span><span class=\"token boolean\">None<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    hdfs_path <span class=\"token operator\">&#061;<\/span> <span class=\"token string\">&#034;hdfs:\/\/namenode:9000\/data\/spectrum_clean&#034;<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>parquet<span class=\"token punctuation\">(<\/span>hdfs_path<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> sample_id<span class=\"token punctuation\">:<\/span><br \/>\n        df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sample_id&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> sample_id<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> stage<span class=\"token punctuation\">:<\/span><br \/>\n        df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;stage&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> stage<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> min_intensity <span class=\"token keyword\">is<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token boolean\">None<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&gt;&#061;<\/span> min_intensity<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> max_intensity <span class=\"token keyword\">is<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token boolean\">None<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        df <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&lt;&#061;<\/span> max_intensity<span class=\"token punctuation\">)<\/span><br \/>\n    total_count <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>count<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df_sorted <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span>orderBy<span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;sample_id&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">,<\/span> col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;wavelength&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    offset <span class=\"token operator\">&#061;<\/span> <span class=\"token punctuation\">(<\/span>page <span class=\"token operator\">&#8211;<\/span> <span class=\"token number\">1<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">*<\/span> limit<br \/>\n    df_page <span class=\"token operator\">&#061;<\/span> df_sorted<span class=\"token punctuation\">.<\/span>limit<span class=\"token punctuation\">(<\/span>limit<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>offset<span class=\"token punctuation\">(<\/span>offset<span class=\"token punctuation\">)<\/span><br \/>\n    result_pd <span class=\"token operator\">&#061;<\/span> df_page<span class=\"token punctuation\">.<\/span>toPandas<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;wavelength&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> result_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;wavelength&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">2<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> result_pd<span class=\"token punctuation\">[<\/span><span class=\"token string\">&#034;intensity&#034;<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span><span class=\"token builtin\">round<\/span><span class=\"token punctuation\">(<\/span><span class=\"token number\">4<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    result_list <span class=\"token operator\">&#061;<\/span> result_pd<span class=\"token punctuation\">.<\/span>to_dict<span class=\"token punctuation\">(<\/span>orient<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;records&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>catalog<span class=\"token punctuation\">.<\/span>clearCache<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;total&#034;<\/span><span class=\"token punctuation\">:<\/span> total_count<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;data&#034;<\/span><span class=\"token punctuation\">:<\/span> result_list<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;page&#034;<\/span><span class=\"token punctuation\">:<\/span> page<span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;limit&#034;<\/span><span class=\"token punctuation\">:<\/span> limit<span class=\"token punctuation\">}<\/span><\/p>\n<p><span class=\"token comment\"># \u529f\u80fd\u4e09&#xff1a;\u4e2a\u4eba\u4fe1\u606f\u4e0e\u5bc6\u7801\u7ba1\u7406 &#8211; \u66f4\u65b0\u7528\u6237\u4e2a\u4eba\u8d44\u6599\u4fe1\u606f<\/span><br \/>\n<span class=\"token keyword\">def<\/span> <span class=\"token function\">update_user_profile<\/span><span class=\"token punctuation\">(<\/span>user_id<span class=\"token punctuation\">,<\/span> update_fields<span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n    df <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>read<span class=\"token punctuation\">.<\/span>jdbc<span class=\"token punctuation\">(<\/span>url<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;jdbc:mysql:\/\/localhost:3306\/spectrum_db&#034;<\/span><span class=\"token punctuation\">,<\/span> table<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;users&#034;<\/span><span class=\"token punctuation\">,<\/span> properties<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;root&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;password&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;123456&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    df_filtered <span class=\"token operator\">&#061;<\/span> df<span class=\"token punctuation\">.<\/span><span class=\"token builtin\">filter<\/span><span class=\"token punctuation\">(<\/span>col<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;id&#034;<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> user_id<span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">if<\/span> df_filtered<span class=\"token punctuation\">.<\/span>count<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span> <span class=\"token operator\">&#061;&#061;<\/span> <span class=\"token number\">0<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        spark<span class=\"token punctuation\">.<\/span>catalog<span class=\"token punctuation\">.<\/span>clearCache<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n        <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;code&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">404<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;msg&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u7528\u6237\u4e0d\u5b58\u5728&#034;<\/span><span class=\"token punctuation\">}<\/span><br \/>\n    existing_dict <span class=\"token operator\">&#061;<\/span> df_filtered<span class=\"token punctuation\">.<\/span>select<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;email&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;phone&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;real_name&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;department&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;role&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>collect<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">[<\/span><span class=\"token number\">0<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">.<\/span>asDict<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    merged_dict <span class=\"token operator\">&#061;<\/span> existing_dict<span class=\"token punctuation\">.<\/span>copy<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">for<\/span> key<span class=\"token punctuation\">,<\/span> value <span class=\"token keyword\">in<\/span> update_fields<span class=\"token punctuation\">.<\/span>items<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">:<\/span><br \/>\n        <span class=\"token keyword\">if<\/span> key <span class=\"token keyword\">in<\/span> merged_dict <span class=\"token keyword\">and<\/span> value <span class=\"token keyword\">is<\/span> <span class=\"token keyword\">not<\/span> <span class=\"token boolean\">None<\/span> <span class=\"token keyword\">and<\/span> value <span class=\"token operator\">!&#061;<\/span> <span class=\"token string\">&#034;&#034;<\/span><span class=\"token punctuation\">:<\/span><br \/>\n            merged_dict<span class=\"token punctuation\">[<\/span>key<span class=\"token punctuation\">]<\/span> <span class=\"token operator\">&#061;<\/span> value<br \/>\n    update_pdf <span class=\"token operator\">&#061;<\/span> pd<span class=\"token punctuation\">.<\/span>DataFrame<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">[<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;id&#034;<\/span><span class=\"token punctuation\">:<\/span> user_id<span class=\"token punctuation\">,<\/span> <span class=\"token operator\">**<\/span>merged_dict<span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">]<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    update_sdf <span class=\"token operator\">&#061;<\/span> spark<span class=\"token punctuation\">.<\/span>createDataFrame<span class=\"token punctuation\">(<\/span>update_pdf<span class=\"token punctuation\">)<\/span><br \/>\n    update_sdf<span class=\"token punctuation\">.<\/span>write<span class=\"token punctuation\">.<\/span>mode<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;overwrite&#034;<\/span><span class=\"token punctuation\">)<\/span><span class=\"token punctuation\">.<\/span>jdbc<span class=\"token punctuation\">(<\/span>url<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;jdbc:mysql:\/\/localhost:3306\/spectrum_db&#034;<\/span><span class=\"token punctuation\">,<\/span> table<span class=\"token operator\">&#061;<\/span><span class=\"token string\">&#034;users_temp&#034;<\/span><span class=\"token punctuation\">,<\/span> properties<span class=\"token operator\">&#061;<\/span><span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;user&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;root&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;password&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;123456&#034;<\/span><span class=\"token punctuation\">}<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;CREATE OR REPLACE TEMP VIEW users_view AS SELECT id, email, phone, real_name, department, role FROM users_temp&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;INSERT OVERWRITE TABLE users SELECT t1.id, t1.username, t1.password, t2.email, t2.phone, t2.real_name, t2.department, t2.role FROM users t1 JOIN users_view t2 ON t1.id &#061; t2.id&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;DROP VIEW IF EXISTS users_temp&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>sql<span class=\"token punctuation\">(<\/span><span class=\"token string\">&#034;DROP VIEW IF EXISTS users_view&#034;<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    spark<span class=\"token punctuation\">.<\/span>catalog<span class=\"token punctuation\">.<\/span>clearCache<span class=\"token punctuation\">(<\/span><span class=\"token punctuation\">)<\/span><br \/>\n    <span class=\"token keyword\">return<\/span> <span class=\"token punctuation\">{<\/span><span class=\"token string\">&#034;code&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token number\">200<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;msg&#034;<\/span><span class=\"token punctuation\">:<\/span> <span class=\"token string\">&#034;\u66f4\u65b0\u6210\u529f&#034;<\/span><span class=\"token punctuation\">,<\/span> <span class=\"token string\">&#034;data&#034;<\/span><span class=\"token punctuation\">:<\/span> merged_dict<span class=\"token punctuation\">}<\/span><\/p>\n<h2>\u57fa\u4e8e\u5927\u6570\u636e\u7684\u5bab\u9888\u764c\u53d8\u8fdb\u7a0b\u5149\u8c31\u7279\u5f81\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u6587\u6863\u5c55\u793a<\/h2>\n<p><img decoding=\"async\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/10\/20261008044124-6ac71ef454187.png\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" \/><\/p>\n<p>&#x1f496;&#x1f496;\u4f5c\u8005&#xff1a;\u8ba1\u7b97\u673a\u6bd5\u4e1a\u8bbe\u8ba1\u6c5f\u633d 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