{"id":47208,"date":"2022-12-08T23:47:53","date_gmt":"2022-12-01T20:29:17","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8smolder%e5%9c%a8%e5%ae%9e%e6%97%b6%e4%b8%ad%e5%85%85%e5%88%86%e5%88%a9%e7%94%a8%e7%94%b5%e5%ad%90%e5%8c%bb%e7%96%97%e8%ae%b0%e5%bd%95%e3%80%82\/"},"modified":"2024-04-29T04:23:55","modified_gmt":"2024-04-28T20:23:55","slug":"%e4%bd%bf%e7%94%a8smolder%e5%9c%a8%e5%ae%9e%e6%97%b6%e4%b8%ad%e5%85%85%e5%88%86%e5%88%a9%e7%94%a8%e7%94%b5%e5%ad%90%e5%8c%bb%e7%96%97%e8%ae%b0%e5%bd%95%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8smolder%e5%9c%a8%e5%ae%9e%e6%97%b6%e4%b8%ad%e5%85%85%e5%88%86%e5%88%a9%e7%94%a8%e7%94%b5%e5%ad%90%e5%8c%bb%e7%96%97%e8%ae%b0%e5%bd%95%e3%80%82\/","title":{"rendered":"\u4f7f\u7528Smolder\u5728\u5b9e\u65f6\u4e2d\u5145\u5206\u5229\u7528\u7535\u5b50\u533b\u7597\u8bb0\u5f55"},"content":{"rendered":"

\u5b9e\u65f6\u4f7f\u7528Smolder\u3001Apache Spark\u2122\u548cDelta Lake\u8fdb\u884c\u7684EHR\u5206\u6790\u2014\u2014Databricks\u535a\u5ba2\u7684\u7ffb\u8bd1\u3002<\/p>\n

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\"\"<\/div>\n

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\u5904\u7406HL7\u6d88\u606f<\/h1>\n

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MSH|^~\\&|||||20201020150800.739+0000||ADT^A03^ADT_A03|11374301|P|2.4\r\nEVN|A03|20170820074419-0500\r\nPID|||d40726da-9b7a-49eb-9eeb-e406708bbb60||Heller^Keneth||||||140 Pacocha Way Suite 52^^Northampton^Massachusetts^^USA\r\nPV1||a|^^^COOLEY DICKINSON HOSPITAL INC THE|ambulatory||||49318f80-bd8b-3fc7-a096-ac43088b0c12^THE^COOLEY||||||||||||||||||||||||||||||||||||20170820074419-05\\\r\n00\r\n<\/code><\/pre>\n
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\u8fd9\u79cd\u65b9\u6cd5\u5728\u4e00\u4e9b\u5ba2\u6237\u90a3\u91cc\u53d6\u5f97\u4e86\u6210\u529f\uff0c\u4f46\u662f\u5374\u9700\u8981\u4f9d\u8d56\u624b\u5199\u89e3\u6790\u5e93\u6216\u8005\u50cfHAPI\u8fd9\u6837\u7684\u5e93\uff0c\u8fd9\u5e26\u6765\u4e86\u4e00\u4e9b\u95ee\u9898\u3002\u6570\u636e\u6e56\u7684\u4e00\u4e2a\u91cd\u8981\u4f18\u70b9\u662f\u53ef\u4ee5\u63a8\u8fdf\u6d41\u6c34\u7ebf\u9a8c\u8bc1\u3002\u901a\u5e38\uff0c\u6211\u4eec\u5c06\u5176\u91c7\u7528\u751f\u6001\u7cfb\u7edf\u7684\u539f\u59cb\u72b6\u6001\uff0c\u5e76\u5b58\u50a8\u5728\u94dc\u5c42\u4e2d\u3002\u8fd9\u6837\u4e00\u6765\uff0c\u60a8\u5c31\u53ef\u4ee5\u7075\u6d3b\u5730\u4fdd\u6301\u89c2\u5bdf\u5230\u7684\u5386\u53f2\u6570\u636e\uff0c\u800c\u65e0\u9700\u9488\u5bf9\u6570\u636e\u7684\u5927\u5c0f\u548c\u5f62\u6001\u505a\u51fa\u4efb\u4f55\u9009\u62e9\u3002<\/p>\n
\u5728\u5904\u7406\u9762\u4e34\u4e1a\u52a1\u7684\u4f7f\u7528\u6848\u4f8b\u4e4b\u524d\uff0c\u9a8c\u8bc1\u548c\u5206\u6790\u8fc7\u53bb\u7684\u6570\u636e\u662f\u7279\u522b\u6709\u7528\u7684\u3002\u4f8b\u5982\uff0c\u8003\u8651\u9a8c\u8bc1\u521d\u7ea7\u533b\u7597\u63d0\u4f9b\u8005\uff08PCP\uff09\u9886\u57df\u7684\u60c5\u51b5\u3002\u5982\u679c\u53d1\u73b0\u533b\u7597\u7cfb\u7edf\u9519\u8bef\u5730\u4ea4\u6362\u4e86\u62a4\u7406\u56e2\u961f\u7684\u53e6\u4e00\u4e2a\u5916\u79d1\u533b\u751f\u548cPCP\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u5bf9\u6240\u6709\u8fd9\u4e9b\u8bb0\u5f55\u8fdb\u884c\u8fc7\u53bb\u7684\u4fee\u6539\u3002\u6839\u636e\u8bbe\u8ba1\uff0cSmolder\u9075\u5faa\u8fd9\u79cd\u573a\u666f\u7684\u8303\u4f8b\u3002<\/p>\n
\u4e0d\u540c\u4e8eHAPI\uff0cSmolder\u4f1a\u5c06\u6d88\u606f\u5206\u89e3\u4e3a\u9002\u5f53\u7684HL7\u6d88\u606f\u7ed3\u6784\uff0c\u800c\u4e0d\u4f1a\u5bf9\u5176\u8fdb\u884c\u4ee5\u4e0a\u7684\u9a8c\u8bc1\u3002\u8fd9\u6837\u53ef\u4ee5\u5c06\u6570\u636e\u6ce8\u5165\u5230\u94f6\u8272\u5c42\u5e76\u67e5\u8be2\uff0c\u540c\u65f6\u53ef\u4ee5\u6355\u83b7\u89c2\u5bdf\u5230\u7684\u6570\u636e\u3002<\/p>\n
Smolder\u662f\u4e00\u4e2a\u7528\u4e8e\u5904\u7406HL7\u7684\u5f00\u6e90\u5e93\uff0c\u5b83\u662f\u57fa\u4e8eApache Spark\u7684\u8bbe\u8ba1\u3002<\/h1>\n
\u6211\u4eec\u9009\u62e9\u4ee5\u4e0b\u65b9\u6cd5\u6765\u5f00\u53d1Smolder\uff0c\u65e8\u5728\u63d0\u4f9b\u6613\u4e8e\u4f7f\u7528\u7684\u7cfb\u7edf\uff0c\u5b9e\u73b0\u5904\u7406HL7v2\u6d88\u606f\u7684\u8fd1\u5b9e\u65f6\u5ef6\u8fdf\uff0c\u5e76\u4f7f\u6570\u636e\u79d1\u5b66\u548c\u53ef\u89c6\u5316\u7684\u5927\u89c4\u6a21\u751f\u6001\u7cfb\u7edf\u80fd\u591f\u8bbf\u95ee\u6570\u636e\u3002<\/p>\n
1\u884c\u306e\u30b3\u30fc\u30c9\u3067HL7\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u5909\u63db: \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306f\u3001Pandas\u3001R\u3001Spark\u306b\u95a2\u4fc2\u306a\u304f\u3001\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u3067\u5e83\u304f\u5229\u7528\u3055\u308c\u3066\u304a\u308a\u3001SQL\u306e\u3088\u3046\u306b\u5e83\u304f\u30a2\u30af\u30bb\u30b9\u3055\u308c\u3066\u3044\u308b\u5ba3\u8a00\u578b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u901a\u3058\u3066\u4f7f\u7528\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u30021\u884c\u306e\u30b3\u30fc\u30c9\u3067HL7\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306b\u30ed\u30fc\u30c9\u3067\u304d\u308b\u306e\u3067\u3042\u308c\u3070\u3001HL7\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u53d6\u308a\u6271\u3046\u3053\u3068\u306e\u3067\u304d\u308b\u5f8c\u6bb5\u306e\u5834\u6240\u3092\u5287\u7684\u306b\u5897\u3084\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u30e1\u30c3\u30bb\u30fc\u30b8\u304b\u3089\u30c7\u30fc\u30bf\u3092\u62bd\u51fa\u3059\u308b\u305f\u3081\u306b\u30b7\u30f3\u30d7\u30eb\u304b\u3064\u5ba3\u8a00\u578b\u306eAPI\u3092\u6d3b\u7528: HAPI\u306e\u3088\u3046\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u306fHL7v2\u30e1\u30c3\u30bb\u30fc\u30b8\u3092\u53d6\u308a\u6271\u3046\u305f\u3081\u306eAPI\u3092\u63d0\u4f9b\u3057\u307e\u3059\u304c\u3001\u3053\u308c\u3089\u306eAPI\u306f\u8907\u96d1\u3067\u3042\u308a\u3001\u975e\u5e38\u306b\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u6307\u5411\u3067\u3001HL7v2\u30e1\u30c3\u30bb\u30fc\u30b8\u30f3\u30b0\u30d5\u30a9\u30fc\u30de\u30c3\u30c8\u306b\u95a2\u3059\u308b\u591a\u304f\u306e\u77e5\u8b58\u3092\u5fc5\u8981\u3068\u3057\u307e\u3059\u3002\u4ee3\u308f\u308a\u306b\u30011\u884c\u306eSQL\u30e9\u30a4\u30af\u306e\u95a2\u6570\u3092\u4eba\u3005\u306b\u63d0\u4f9b\u3067\u304d\u308b\u306e\u3067\u3042\u308c\u3070\u3001\u5f7c\u3089\u306f\u65b0\u3057\u304f\u8907\u96d1\u306aAPI\u3092\u5b66\u3076\u5fc5\u8981\u306a\u3057\u306bHL7\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u30c7\u30fc\u30bf\u3092\u7406\u89e3\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n
\u30bd\u30fc\u30b9\u306b\u95a2\u4fc2\u306a\u3057\u306bHL7\u30e1\u30c3\u30bb\u30fc\u30b8\u306b\u5bfe\u3057\u3066\u4e00\u8cab\u6027\u306e\u3042\u308b\u30b9\u30ad\u30fc\u30de\u3068\u30bb\u30de\u30f3\u30c6\u30a3\u30af\u30b9\u3092\u63d0\u4f9b: Smolder\u3067\u306f\u3001HL7v2\u30e1\u30c3\u30bb\u30fc\u30b8\u306e\u76f4\u63a5\u53d6\u308a\u8fbc\u307f\u3068\u3001Apache Kafka\u306e\u3088\u3046\u306a\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u30c4\u30fc\u30eb\u3084\u3001AWS\u306eKinesis\u3084Azure\u306eEventHubs\u306e\u3088\u3046\u306a\u30af\u30e9\u30a6\u30c9\u56fa\u6709\u30b5\u30fc\u30d3\u30b9\u304b\u3089\u306e\u5225\u306e\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30bd\u30fc\u30b9\u304b\u3089\u3084\u3063\u3066\u304f\u308bHL7v2\u30e1\u30c3\u30bb\u30fc\u30b8\u30c6\u30ad\u30b9\u30c8\u306e\u53d6\u308a\u8fbc\u307f\u306e\u4e21\u65b9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u3044\u307e\u3059\u3002\u30bd\u30fc\u30b9\u306b\u95a2\u4fc2\u306a\u304f\u3001\u30e1\u30c3\u30bb\u30fc\u30b8\u306f\u5e38\u306b\u540c\u3058\u30b9\u30ad\u30fc\u30de\u306b\u30d1\u30fc\u30b7\u30f3\u30b0\u3055\u308c\u307e\u3059\u3002Apache Spark\u306e\u69cb\u9020\u5316\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30bb\u30de\u30f3\u30c6\u30a3\u30af\u30b9\u3068\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u30d0\u30c3\u30c1\u3084\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u51e6\u7406\u3092\u901a\u3058\u3066\u540c\u3058\u3088\u3046\u306b\u5bb9\u6613\u306b\u691c\u8a3c\u5b9f\u884c\u3067\u304d\u308b\u30dd\u30fc\u30bf\u30d6\u30eb\u304b\u3064\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u4e2d\u7acb\u306a\u30b3\u30fc\u30c9\u3092\u5b9f\u73fe\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
\u5728\u6700\u7d42\u7d50\u679c\u4e2d\uff0c\u901a\u904e\u9019\u7a2e\u65b9\u6cd5\uff0cSmolder \u6210\u70ba\u4e86\u4e00\u500b\u5bb9\u6613\u5b78\u7fd2\u548c\u4f7f\u7528\u7684\u8f15\u91cf\u7d1a\u5eab\uff0c\u4e26\u652f\u6301\u5c0d\u5927\u91cf HL7 \u6d88\u606f\u7684\u56b4\u683c SLA\u3002\u7136\u5f8c\uff0c\u6211\u5011\u5c07\u770b\u4e00\u4e0b Smolder \u7684 API \u8a73\u7d30\u4fe1\u606f\u4ee5\u53ca\u69cb\u5efa\u91ab\u9662\u5165\u9662\u6a21\u5f0f\u5206\u6790\u5100\u8868\u677f\u7684\u65b9\u6cd5\u3002<\/p>\n
\u4f7f\u7528Smolder\u8fdb\u884cHL7\u6d88\u606f\u89e3\u6790\u3002<\/h1>\n
\u901a\u8fc7\u4f7f\u7528Apache Spark\u2122\u7684\u7ed3\u6784\u5316\u6d41API\uff0c\u53ef\u4ee5\u5229\u7528Spark SQL API\u7684\u6269\u5c55\u6765\u5904\u7406\u6d41\u6570\u636e\u3002\u7ed3\u5408Smolder\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528Smolder\u6765\u6279\u91cf\u8bfb\u53d6\u539f\u59cb\u7684HL7v2\u6d88\u606f\uff0c\u6216\u8005\u4f7f\u7528Smolder\u89e3\u6790\u6765\u81ea\u5176\u4ed6\u6d41\u6570\u636e\u6e90\u7684HL7v2\u6d88\u606f\u6587\u672c\uff0c\u5c06HL7v2\u6d88\u606f\u52a0\u8f7d\u5230\u6570\u636e\u6846\u4e2d\u3002\u4f8b\u5982\uff0c\u5982\u679c\u5b58\u5728\u5e94\u52a0\u8f7d\u7684\u6d88\u606f\u6279\u5904\u7406\uff0c\u53ef\u4ee5\u7b80\u5355\u5730\u8c03\u7528hl7\u9605\u8bfb\u5668\u3002<\/p>\n
scala<\/span>><\/span> val<\/span> df<\/span> =<\/span> spark<\/span>.<\/span>read<\/span>.<\/span>format<\/span>(<\/span>\"hl7\"<\/span>).<\/span>load<\/span>(<\/span>\"path\/to\/hl7\/messages\"<\/span>)<\/span>\r\ndf<\/span>:<\/span> org.apache.spark.sql.DataFrame<\/span> =<\/span> [<\/span>message:<\/span> string<\/span>, segments:<\/span> array<struct<id:string<\/span>,fields:array>><\/span>]<\/span>\r\n<\/code><\/pre>\n
\u8fd4\u56de\u7684\u6a21\u5f0f\u5305\u542b\u4e00\u4e2a\u6d88\u606f\u5217\uff0c\u5176\u4e2d\u5305\u542b\u6d88\u606f\u7684\u6807\u5934\u3002\u6d88\u606f\u6bb5\u88ab\u5d4c\u5957\u5728segments\u5217\u4e2d\uff0c\u5e76\u4e14\u662f\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u5d4c\u5957\u5b57\u6bb5\u7684\u6570\u7ec4\u3002\u5bf9\u4e8e\u6bb5\u843d\uff0c\u5b83\u662f\u4e00\u4e2a\u5305\u542b\u5b57\u7b26\u4e32id\uff08\u4f8b\u5982\u60a3\u8005\u8bc6\u522b\u6bb5\u7684PID\uff09\u548c\u6bb5\u5b57\u6bb5\u6570\u7ec4\u3002<\/p>\n
\u53e6\u5916\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Smolder\u5728\u539f\u59cb\u7684\u6d88\u606f\u6587\u672c\u4e2d\u3002\u8fd9\u53ef\u4ee5\u5728HL7\u6d88\u606f\u6700\u521d\u5230\u8fbe\u4e2d\u95f4\u6e90\uff08\u5982Kafka\u6d41\uff09\u65f6\u53d1\u751f\u3002\u4e3a\u4e86\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Smolder\u7684parse_hl7_message\u5e2e\u52a9\u51fd\u6570\u3002\u9996\u5148\uff0c\u4ece\u5305\u542bHL7\u6d88\u606f\u6587\u672c\u7684\u6570\u636e\u6846\u5f00\u59cb\u3002<\/p>\n
scala<\/span>><\/span> val<\/span> textMessageDf<\/span> =<\/span> ...<\/span>\r\ntextMessageDf<\/span>:<\/span> org.apache.spark.sql.DataFrame<\/span> =<\/span> [<\/span>value:<\/span> string<\/span>]<\/span>\r\n\r\nscala<\/span>><\/span> textMessageDf<\/span>.<\/span>show<\/span>()<\/span>\r\n+--------------------+<\/span>                                                          \r\n|<\/span>               value<\/span>|<\/span>\r\n+--------------------+<\/span>\r\n|<\/span>MSH<\/span>|^~\\&|||||<\/span>2020.<\/span>..|<\/span>\r\n+--------------------+<\/span>\r\n<\/code><\/pre>\n
\u63a5\u4e0b\u6765\uff0c\u4ececom.databricks.labs.smolder.functions\u5bf9\u8c61\u4e2d\u5bfc\u5165parse_hl7_message\u6d88\u606f\uff0c\u5e76\u5c06\u5176\u5e94\u7528\u4e8e\u8981\u89e3\u6790\u7684\u5217\u3002<\/p>\n
scala<\/span>><\/span> import<\/span> com.databricks.labs.smolder.functions.parse_hl7_message<\/span>\r\nimport<\/span> com.databricks.labs.smolder.functions.parse_hl7_message<\/span>\r\n\r\nscala<\/span>><\/span> val<\/span> parsedDf<\/span> =<\/span> textMessageDf<\/span>.<\/span>select<\/span>(<\/span>parse_hl7_message<\/span>(<\/span>$<\/span>\"value\"<\/span>).<\/span>as<\/span>(<\/span>\"message\"<\/span>))<\/span>\r\nparsedDf<\/span>:<\/span> org.apache.spark.sql.DataFrame<\/span> =<\/span> [<\/span>message:<\/span> struct>>><\/span>]<\/span>\r\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u83b7\u5f97\u4e0eHL7\u6570\u636e\u6e90\u76f8\u540c\u7684\u6a21\u5f0f\u3002<\/p>\n
\u4f7f\u7528Smolder\u4eceHL7v2\u6d88\u606f\u6bb5\u4e2d\u63d0\u53d6\u6570\u636e<\/h1>\n
Smolder\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b9\u4fbf\u4f7f\u7528\u7684\u6a21\u5f0f(schema)\u6765\u5904\u7406HL7\u6d88\u606f\uff0c\u540c\u65f6\u8fd8\u63d0\u4f9b\u4e86\u4f4d\u4e8ecom.databricks.labs.smolder.functions\u7684\u5e2e\u52a9\u51fd\u6570(helper function)\u6765\u4ece\u6d88\u606f\u6bb5(segment)\u4e2d\u63d0\u53d6\u5b50\u5b57\u6bb5(subfield)\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u60f3\u4ece\u60a3\u8005ID\uff08PID\uff09\u6bb5\u7684\u7b2c5\u4e2a\u5b57\u6bb5\u4e2d\u63d0\u53d6\u60a3\u8005\u7684\u59d3\u540d\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528segment_field\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u7684\u3002<\/p>\n
scala<\/span>><\/span> import<\/span> com.databricks.labs.smolder.functions.segment_field<\/span>\r\nimport<\/span> com.databricks.labs.smolder.functions.segment_field<\/span>\r\n\r\nscala<\/span>><\/span> val<\/span> nameDf<\/span> =<\/span> df<\/span>.<\/span>select<\/span>(<\/span>segment_field<\/span>(<\/span>\"PID\"<\/span>,<\/span> 4<\/span>).<\/span>alias<\/span>(<\/span>\"name\"<\/span>))<\/span>\r\nnameDf<\/span>:<\/span> org.apache.spark.sql.DataFrame<\/span> =<\/span> [<\/span>name:<\/span> string<\/span>]<\/span>\r\n\r\nscala<\/span>><\/span> nameDf<\/span>.<\/span>show<\/span>()<\/span>\r\n+-------------+<\/span>\r\n|<\/span>         name<\/span>|<\/span>\r\n+-------------+<\/span>\r\n|<\/span>Heller<\/span>^<\/span>Keneth<\/span>|<\/span>\r\n+-------------+<\/span>\r\n<\/code><\/pre>\n
\u5982\u679c\u8981\u83b7\u53d6\u60a3\u8005\u7684\u540d\u5b57\uff0c\u53ef\u4ee5\u4f7f\u7528subfield\u51fd\u6570\u3002<\/p>\n
scala<\/span>><\/span> import<\/span> com.databricks.labs.smolder.functions.subfield<\/span>\r\nimport<\/span> com.databricks.labs.smolder.functions.subfield<\/span>\r\n\r\nscala<\/span>><\/span> val<\/span> firstNameDf<\/span> =<\/span> nameDf<\/span>.<\/span>select<\/span>(<\/span>subfield<\/span>(<\/span>$<\/span>\"name\"<\/span>,<\/span> 1<\/span>).<\/span>alias<\/span>(<\/span>\"firstname\"<\/span>))<\/span>\r\nfirstNameDf<\/span>:<\/span> org.apache.spark.sql.DataFrame<\/span> =<\/span> [<\/span>firstname:<\/span> string<\/span>]<\/span>\r\n\r\nscala<\/span>><\/span> firstNameDf<\/span>.<\/span>show<\/span>()<\/span>\r\n+---------+<\/span>\r\n|<\/span>firstname<\/span>|<\/span>\r\n+---------+<\/span>\r\n|<\/span>   Keneth<\/span>|<\/span>\r\n+---------+<\/span>\r\n<\/code><\/pre>\n
\u30d6\u30ed\u30f3\u30ba\u30ec\u30a4\u30e4\u30fc\u306b\u306f\u751f\u306e\u30e1\u30c3\u30bb\u30fc\u30b8\u30d5\u30a3\u30fc\u30c9(ADP\u3001ORM\u3001ORU\u306e\u30d5\u30a3\u30fc\u30c9\u3054\u3068\u306e\u30c6\u30fc\u30d6\u30eb\u306a\u3069)\u304c\u683c\u7d0d\u3055\u308c\u307e\u3059\u3002<\/p>\n
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\u4e3a\u4ec0\u4e48\u9009\u62e9\u5728Delta Lake\u4e0a\u6784\u5efa\u5462\uff1f\u9996\u5148\uff0cDelta\u662f\u4e00\u79cd\u5f00\u653e\u683c\u5f0f\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u4ece\u8bb8\u591a\u5206\u6790\u7cfb\u7edf\u4e2d\u8fdb\u884c\u8bbf\u95ee\uff0c\u53ef\u4ee5\u901a\u8fc7Apache Spark\u548c\u6570\u636e\u4ed3\u5e93\u7cfb\u7edf\uff08\u5982Synapse\uff09\u6765\u8bbf\u95ee\u6570\u636e\u79d1\u5b66\u751f\u6001\u7cfb\u7edf\u3002\u6b64\u5916\uff0cDelta Lake\u88ab\u8bbe\u8ba1\u4e3a\u652f\u6301\u7ea7\u8054\u6d41\uff0c\u610f\u5473\u7740\u6570\u636e\u53ef\u4ee5\u4ece\u9752\u94dc\u5c42\u6d41\u5f0f\u4f20\u8f93\u5230\u94f6\u5c42\uff0c\u6700\u7ec8\u5230\u8fbe\u9ec4\u91d1\u5c42\u3002\u6b64\u5916\uff0cDelta Lake\u63d0\u4f9b\u4e86\u8bb8\u591a\u4f18\u5316\u8868\u683c\u4ee5\u6539\u5584\u67e5\u8be2\u6027\u80fd\u7684\u6280\u672f\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u52a0\u5feb\u5bf9\u60a3\u8005ID\u548c\u5c31\u8bca\u65e5\u671f\u7b49\u7ecf\u5e38\u88ab\u67e5\u8be2\u7684\u5b57\u6bb5\u7684\u67e5\u8be2\u901f\u5ea6\uff0c\u60a8\u53ef\u4ee5\u5229\u7528\u4e4b\u524d\u8ba8\u8bba\u8fc7\u7684Z-ordering\u6280\u672f\u3002Delta Lake\u652f\u6301\u591a\u7ef4\u6570\u636e\u805a\u7c7b\u7684Z-ordering\uff0c\u4ee5\u63d0\u4f9b\u8fd9\u4e24\u79cd\u67e5\u8be2\u6a21\u5f0f\u7684\u4f18\u5f02\u6027\u80fd\u3002<\/p>\n
\u8ba9\u6211\u4eec\u8bd5\u7740\u4f7f\u7528Smolder\u6765\u5f00\u59cb\u6784\u5efa\u5065\u5eb7\u6570\u636e\u6e56\u3002<\/h1>\n
\u5728\u8fd9\u7bc7\u6587\u7ae0\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4e00\u79cd\u540d\u4e3aSmolder\u7684\u57fa\u4e8eApache 2\u8bb8\u53ef\u8bc1\u7684\u5e93\uff0c\u7528\u4e8e\u4eceEHR\u52a0\u8f7d\u60a3\u8005\u6570\u636e\u3002\u60a8\u53ef\u4ee5\u4ece\u9879\u76ee\u6587\u6863\u5f00\u59cb\u9605\u8bfb\uff0c\u5e76\u521b\u5efa\u4e00\u4e2afork\u6765\u4e3a\u4ee3\u7801\u505a\u51fa\u8d21\u732e\u3002\u5982\u679c\u60a8\u60f3\u4e86\u89e3\u5982\u4f55\u5b58\u50a8\u548c\u5904\u7406\u533b\u7597\u6570\u636e\u96c6\u4f7f\u7528Delta Lake\uff0c\u53ef\u4ee5\u4e0b\u8f7d\u4e00\u672c\u5173\u4e8e\u5904\u7406\u771f\u5b9e\u4e16\u754c\u533b\u7597\u6570\u636e\u96c6\u7684\u514d\u8d39\u7535\u5b50\u4e66\u3002\u60a8\u4e5f\u53ef\u4ee5\u4f7f\u7528\u672c\u6587\u4ecb\u7ecd\u7684\u7b14\u8bb0\u672c\u6765\u542f\u52a8\u514d\u8d39\u8bd5\u7528\u3002<\/p>\n
Databricks \u514d\u8d39\u8bd5\u7528<\/h3>\n
\u6566\u7766\u5927\u6570\u636e\u514d\u8d39\u8bd5\u7528<\/p>\n","protected":false},"excerpt":{"rendered":"
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