{"id":47050,"date":"2023-03-22T16:39:46","date_gmt":"2023-09-19T01:18:44","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e7%9a%84spark%e6%b5%81%e5%ba%94%e7%94%a8%e7%a8%8b%e5%ba%8f\/"},"modified":"2024-04-29T20:04:47","modified_gmt":"2024-04-29T12:04:47","slug":"%e4%bd%bf%e7%94%a8%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e7%9a%84spark%e6%b5%81%e5%ba%94%e7%94%a8%e7%a8%8b%e5%ba%8f","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8%e4%bc%a0%e6%84%9f%e5%99%a8%e6%95%b0%e6%8d%ae%e7%9a%84spark%e6%b5%81%e5%ba%94%e7%94%a8%e7%a8%8b%e5%ba%8f\/","title":{"rendered":"\u4f7f\u7528\u4f20\u611f\u5668\u6570\u636e\u7684Spark\u6d41\u5e94\u7528\u7a0b\u5e8f"},"content":{"rendered":"

\u9019\u662f\u95dc\u65bc\u9019\u500b\u7b46\u8a18\u672c\u756b\u5eca\u7684\u50b3\u611f\u5668\u6578\u64da\u6d41\u61c9\u7528\u7a0b\u5e8f\u7684\u64cd\u4f5c\u6b65\u9a5f\u3002<\/p>\n

 <\/p>\n

\u7b14\u8bb0\u672c\u7684\u7ffb\u8bd1\u7248\u5728\u8fd9\u91cc\u3002<\/p>\n

 <\/p>\n

\u521b\u5efa\u5047\u611f\u6d4b\u6570\u636e<\/h1>\n

\u751f\u6210\u7531100\u4e2a\u6587\u4ef6\u7ec4\u6210\u7684100\u4e2a\u8bb0\u5f55\u7684\u6570\u636e\u3002<\/p>\n

%<\/span>scala<\/span>\r\n\r\n\/\/ --- \u30c7\u30fc\u30bf\u3092\u751f\u6210\u3059\u308b\u30d1\u30b9\u3092\u8a2d\u5b9a\u30fb\u9069\u5b9c\u5909\u66f4\u3057\u3066\u304f\u3060\u3055\u3044 ---<\/span>\r\nval<\/span> path<\/span> =<\/span> \"\/tmp\/takaakiyayoidatabrickscom\/Streaming\/sdevices\/\"<\/span>\r\ndbutils<\/span>.<\/span>fs<\/span>.<\/span>mkdirs<\/span>(<\/span>path<\/span>)<\/span>\r\n\r\nval<\/span> numFiles<\/span> =<\/span> 100<\/span>\r\nval<\/span> numDataPerFile<\/span> =<\/span> 100<\/span>\r\n\r\nimport<\/span> scala.util.Random<\/span>\r\n\r\nval<\/span> deviceTypes<\/span> =<\/span> Seq<\/span>(<\/span>\"SensorTypeA\"<\/span>,<\/span> \"SensorTypeB\"<\/span>,<\/span> \"SensorTypeC\"<\/span>,<\/span> \"SensorTypeD\"<\/span>)<\/span>\r\nval<\/span> startTime<\/span> =<\/span> System<\/span>.<\/span>currentTimeMillis<\/span>\r\ndbutils<\/span>.<\/span>fs<\/span>.<\/span>rm<\/span>(<\/span>path<\/span>,<\/span> true<\/span>)<\/span>\r\n\r\n(<\/span>1<\/span> to<\/span> numFiles<\/span>).<\/span>par<\/span>.<\/span>foreach<\/span> {<\/span> fileId<\/span> =><\/span>\r\n  val<\/span> file<\/span> =<\/span> s<\/span>\"$path\/file-$fileId.json\"<\/span>\r\n  val<\/span> data<\/span> =<\/span> (<\/span>1<\/span> to<\/span> numDataPerFile<\/span>).<\/span>map<\/span> {<\/span> x<\/span> =><\/span> \r\n    val<\/span> timestamp<\/span> =<\/span> new<\/span> java<\/span>.<\/span>sql<\/span>.<\/span>Timestamp<\/span>(<\/span>startTime<\/span> +<\/span> (<\/span>fileId<\/span> *<\/span> 60000<\/span>)<\/span> +<\/span> (<\/span>Random<\/span>.<\/span>nextInt<\/span>()<\/span> %<\/span> 10000<\/span>))<\/span>\r\n    val<\/span> deviceId<\/span> =<\/span> Random<\/span>.<\/span>nextInt<\/span>(<\/span>100<\/span>)<\/span>\r\n    val<\/span> deviceType<\/span> =<\/span> deviceTypes<\/span>(<\/span>Random<\/span>.<\/span>nextInt<\/span>(<\/span>deviceTypes<\/span>.<\/span>size<\/span>))<\/span>\r\n    val<\/span> signalStrength<\/span> =<\/span> math<\/span>.<\/span>abs<\/span>(<\/span>Random<\/span>.<\/span>nextDouble<\/span> %<\/span> 100<\/span>)<\/span>\r\n    s<\/span>\"\"\"{\"timestamp\":\"$timestamp\",\"deviceId\":$deviceId,\"deviceType\":\"$deviceType\",\"signalStrength\":$signalStrength}\"\"\"<\/span>\r\n  }.<\/span>mkString<\/span>(<\/span>\"\\n\"<\/span>)<\/span>\r\n  dbutils<\/span>.<\/span>fs<\/span>.<\/span>put<\/span>(<\/span>file<\/span>,<\/span> data<\/span>)<\/span>\r\n}<\/span>\r\ndbutils<\/span>.<\/span>fs<\/span>.<\/span>head<\/span>(<\/span>dbutils<\/span>.<\/span>fs<\/span>.<\/span>ls<\/span>(<\/span>s<\/span>\"$path\/file-1.json\"<\/span>).<\/span>head<\/span>.<\/span>path<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u6d41\u5a92\u4f53\u4f20\u611f\u5668\u6570\u636e\u5904\u7406<\/h1>\n
\u5728\u6784\u5efa\u7aef\u5230\u7aef\u7684\u8fde\u7eed\u5e94\u7528\u7a0b\u5e8f\u7684\u76ee\u6807\u4e2d\uff0c\u7ed3\u6784\u5316\u6d41\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u529f\u80fd\u3002\u5728\u9ad8\u7ea7\u522b\u4e0a\uff0c\u5b83\u63d0\u4f9b\u4ee5\u4e0b\u529f\u80fd\uff1a<\/p>\n
    \n
  1. \n
      \u6240\u6709\u7684\u6570\u636e\u8bb0\u5f55\u90fd\u88ab\u4fdd\u5b58\u5728\u524d\u7f00(\u5206\u533a)\u4e2d\uff0c\u5e76\u4e14\u6309\u987a\u5e8f\u8fdb\u884c\u5904\u7406\u548c\u8ba1\u6570\uff0c\u6240\u4ee5\u8f93\u51fa\u8868\u59cb\u7ec8\u4fdd\u6301\u4e00\u81f4\u6027\u3002<\/ol>\n<\/li>\n<\/ol>\n
      \u5bb9\u9519\u6027\u5305\u62ec\u4e0e\u8f93\u51fa\u540c\u6b65\u7684\u4ea4\u4e92\uff0c\u5e76\u901a\u8fc7\u7ed3\u6784\u5316\u6d41\u5904\u7406\u6574\u4f53\u3002<\/p>\n
      \u5177\u6709\u5904\u7406\u5ef6\u8fdf\u6570\u636e\u548c\u4e0d\u6309\u987a\u5e8f\u7684\u6570\u636e\u80fd\u529b\u3002<\/p>\n
      \"\"<\/div>\n
      1- \u9171\u6599<\/h2>\n
      \u6211\u4eec\u53ef\u4ee5\u5c06\u8f93\u5165\u6570\u636e\u6e90\u89c6\u4e3a\u201c\u8f93\u5165\u8868\u201d\u3002\u6d41\u4e2d\u5230\u8fbe\u7684\u6240\u6709\u6570\u636e\u9879\u90fd\u4f1a\u88ab\u89c6\u4e3a\u8f93\u5165\u8868\u4e2d\u7684\u65b0\u884c\u6dfb\u52a0\u8fdb\u53bb\u3002<\/p>\n
      2-\u8fde\u7eed\u5904\u7406\u548c\u67e5\u8be2<\/h2>\n
      \u63a5\u4e0b\u6765\uff0c\u5f00\u53d1\u8005\u4f1a\u5b9a\u4e49\u4e00\u4e2a\u67e5\u8be2\uff0c\u5c06\u8be5\u6e90\u6216\u8f93\u5165\u8868\u89c6\u4e3a\u9759\u6001\u8868\uff0c\u4ee5\u8ba1\u7b97\u5c06\u88ab\u5199\u5165\u8f93\u51fa sink \u7684\u6700\u7ec8\u7ed3\u679c\u8868\u3002Spark \u4f1a\u81ea\u52a8\u5c06\u8fd9\u79cd\u6279\u5904\u7406\u67e5\u8be2\u8f6c\u6362\u4e3a\u6d41\u5904\u7406\u6267\u884c\u8ba1\u5212\uff0c\u8fd9\u79f0\u4e3a\u589e\u91cf\u66f4\u65b0\uff1aSpark \u4f1a\u786e\u5b9a\u9700\u8981\u7ef4\u62a4\u4ec0\u4e48\u6837\u7684\u72b6\u6001\u6765\u66f4\u65b0\u7ed3\u679c\uff0c\u6bcf\u5f53\u8bb0\u5f55\u5230\u8fbe\u65f6\u3002\u6700\u540e\uff0c\u5f00\u53d1\u8005\u4f1a\u6307\u5b9a\u89e6\u53d1\u5668\u4ee5\u63a7\u5236\u4f55\u65f6\u66f4\u65b0\u7ed3\u679c\u3002\u6bcf\u6b21\u89e6\u53d1\u5668\u88ab\u6267\u884c\u65f6\uff0cSpark \u4f1a\u68c0\u67e5\u65b0\u6570\u636e\uff08\u8f93\u5165\u8868\u7684\u65b0\u884c\uff09\uff0c\u5e76\u4ee5\u589e\u91cf\u65b9\u5f0f\u66f4\u65b0\u7ed3\u679c\u3002<\/p>\n
      \"\"<\/div>\n
      3-\u6d17\u7897.<\/h2>\n
      \u8fd9\u4e2a\u6a21\u578b\u7684\u6700\u540e\u90e8\u5206\u662f\u8f93\u51fa\u6a21\u5f0f\u3002\u6bcf\u5f53\u7ed3\u679c\u8868\u66f4\u65b0\u65f6\uff0c\u5f00\u53d1\u4eba\u5458\u5e0c\u671b\u80fd\u591f\u5c06\u66f4\u6539\u5199\u5165\u5916\u90e8\u7cfb\u7edf\uff0c\u5982S3\u3001HDFS\u548c\u6570\u636e\u5e93\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u5e0c\u671b\u4ee5\u589e\u91cf\u65b9\u5f0f\u8fdb\u884c\u8f93\u51fa\u5199\u5165\u3002\u9274\u4e8e\u6b64\uff0c\u7ed3\u6784\u5316\u6d41\u5904\u7406\u63d0\u4f9b\u4e86\u4e09\u79cd\u8f93\u51fa\u6a21\u5f0f\u3002<\/p>\n
      Append: \u6700\u5f8c\u306e\u30c8\u30ea\u30ac\u30fc\u4ee5\u964d\u306b\u7d50\u679c\u30c6\u30fc\u30d6\u30eb\u306b\u8ffd\u52a0\u3055\u308c\u305f\u65b0\u898f\u884c\u306e\u307f\u304c\u3001\u5916\u90e8\u30b9\u30c8\u30ec\u30fc\u30b8\u306b\u66f8\u304d\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n
      Complete: \u96c6\u8a08\u306e\u3088\u3046\u306b\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3055\u308c\u305f\u7d50\u679c\u30c6\u30fc\u30d6\u30eb\u5168\u4f53\u304c\u5916\u90e8\u30b9\u30c8\u30ec\u30fc\u30b8\u306b\u66f8\u304d\u8fbc\u307e\u308c\u307e\u3059\u3002<\/p>\n
      Update: \u6700\u5f8c\u306e\u30c8\u30ea\u30ac\u30fc\u4ee5\u964d\u306b\u7d50\u679c\u30c6\u30fc\u30d6\u30eb\u66f4\u65b0\u3055\u308c\u305f\u884c\u306e\u307f\u304c\u3001\u5916\u90e8\u30b9\u30c8\u30ec\u30fc\u30b8\u4e0a\u3067\u5909\u66f4\u3055\u308c\u307e\u3059\u3002<\/p>\n
      \"undefined\"<\/div>\n
      \u4f7f\u7528PySpark\u7684\u7ed3\u6784\u5316\u6d41API\u6765\u521b\u5efa\u8fde\u7eed\u5904\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u793a\u4f8b\u3002<\/h2>\n
      \u8bbe\u7f6e\u8f93\u51fa\u3001\u68c0\u67e5\u70b9\u548c\u4e0d\u826f\u8bb0\u5f55\u7684\u6587\u4ef6\u8def\u5f84\u3002<\/p>\n
      # Cmd3\u306e4\u884c\u76ee\u306e\u30d1\u30b9\u304b\u3089 \/sdevices\/ \u3092\u9664\u5916\u3057\u3066\u304f\u3060\u3055\u3044\r\n<\/span>base_path<\/span> =<\/span> \"<\/span>\/tmp\/takaakiyayoidatabrickscom\/Streaming<\/span>\"<\/span>\r\n\r\noutput_path<\/span> =<\/span> f<\/span>\"<\/span>{<\/span>base_path<\/span>}<\/span>\/out\/iot-stream\/<\/span>\"<\/span>\r\ncheckpoint_path<\/span> =<\/span> f<\/span>\"<\/span>{<\/span>base_path<\/span>}<\/span>\/out\/iot-stream-checkpoint<\/span>\"<\/span>\r\n#\r\n# \u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u30d1\u30b9\u306e\u4f5c\u6210\r\n#\r\n<\/span>dbutils<\/span>.<\/span>fs<\/span>.<\/span>rm<\/span>(<\/span>checkpoint_path<\/span>,<\/span>True<\/span>)<\/span> # \u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u306e\u4e0a\u66f8\u304d\r\n<\/span>dbutils<\/span>.<\/span>fs<\/span>.<\/span>mkdirs<\/span>(<\/span>checkpoint_path<\/span>)<\/span>\r\n#\r\n#\r\n<\/span>bad_records_path<\/span> =<\/span> f<\/span>\"<\/span>{<\/span>base_path<\/span>}<\/span>\/badRecordsPath\/streaming-sensor\/<\/span>\"<\/span>\r\ndbutils<\/span>.<\/span>fs<\/span>.<\/span>rm<\/span>(<\/span>bad_records_path<\/span>,<\/span> True<\/span>)<\/span> # \u30c7\u30a3\u30ec\u30af\u30c8\u30ea\u3092\u7a7a\u306b\r\n<\/span>dbutils<\/span>.<\/span>fs<\/span>.<\/span>mkdirs<\/span>(<\/span>bad_records_path<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \u4f20\u611f\u5668\u7684\u6570\u636e\u662f\u600e\u6837\u7684\u5462\uff1f<\/h3>\n
      sensor_path<\/span> =<\/span> f<\/span>\"<\/span>{<\/span>base_path<\/span>}<\/span>\/sdevices\/<\/span>\"<\/span>\r\nsensor_file_name<\/span>=<\/span> sensor_path<\/span> +<\/span> \"<\/span>file-1.json<\/span>\"<\/span>\r\ndbutils<\/span>.<\/span>fs<\/span>.<\/span>head<\/span>(<\/span>sensor_file_name<\/span>,<\/span> 233<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u5b9a\u4e49\u8f93\u5165\u6d41\u548c\u8f93\u51fa\u6d41\u7684\u67b6\u6784<\/h3>\n
      \u4e3a\u4e86\u6027\u80fd\u8003\u8651\uff0c\u826f\u597d\u7684\u6700\u4f73\u5b9e\u8df5\u662f\u5728Spark\u4e2d\u5b9a\u4e49\u6a21\u5f0f\u800c\u4e0d\u662f\u63a8\u65ad\u6a21\u5f0f\u3002\u5982\u679c\u6ca1\u6709\u6a21\u5f0f\uff0c\u5219Spark\u4f1a\u542f\u52a8\u51e0\u4e2a\u4f5c\u4e1a\uff1a\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u5934\u6587\u4ef6\u7684\u4f5c\u4e1a\uff0c\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u90e8\u5206\u5206\u533a\u4ee5\u9a8c\u8bc1\u6570\u636e\u5339\u914d\u6a21\u5f0f\u7684\u4f5c\u4e1a\u3002<\/p>\n
      \u5982\u679c\u51fa\u73b0\u95ee\u9898\uff0c\u53ef\u4ee5\u7acb\u5373\u751f\u6210\u9519\u8bef\uff0c\u5e76\u4e14\u5f53\u5b58\u5728\u7f3a\u5931\u503c\u6216\u6570\u636e\u7c7b\u578b\u4e0d\u5339\u914d\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u4e00\u4e2a\u9009\u9879\u6765\u51b3\u5b9a\u662f\u5426\u63a5\u53d7\uff0c\u6216\u7528NaN\u6216null\u8fdb\u884c\u66ff\u6362\u3002<\/p>\n
      from<\/span> pyspark.sql.functions<\/span> import<\/span> *<\/span>\r\nfrom<\/span> pyspark.sql.types<\/span> import<\/span> *<\/span>\r\n\r\n# \u30aa\u30ea\u30b8\u30ca\u30eb\u306e\u5165\u529b\u30b9\u30ad\u30fc\u30de\r\n<\/span>jsonSchema<\/span> =<\/span> (<\/span>\r\n  StructType<\/span>()<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>timestamp<\/span>\"<\/span>,<\/span> TimestampType<\/span>())<\/span> # \u30bd\u30fc\u30b9\u306e\u30a4\u30d9\u30f3\u30c8\u6642\u9593\r\n<\/span>  .<\/span>add<\/span>(<\/span>\"<\/span>deviceId<\/span>\"<\/span>,<\/span> LongType<\/span>())<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>deviceType<\/span>\"<\/span>,<\/span> StringType<\/span>())<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>signalStrength<\/span>\"<\/span>,<\/span> DoubleType<\/span>())<\/span>\r\n)<\/span>\r\n# \u3044\u304f\u3064\u304b\u306eETL(\u5909\u63db\u304a\u3088\u3073\u30ab\u30e9\u30e0\u306e\u8ffd\u52a0)\u3092\u884c\u3046\u306e\u3067\u30ab\u30e9\u30e0\u3092\u8ffd\u52a0\u3057\u3066\u30b9\u30ad\u30fc\u30de\u3092\u5909\u66f4\u3057\u307e\u3059\u3002\r\n# \u3053\u306e\u5909\u63db\u30c7\u30fc\u30bf\u306f\u3001\u51e6\u7406\u3084\u30ec\u30dd\u30fc\u30c8\u751f\u6210\u306b\u4f7f\u7528\u3067\u304d\u308b\u3088\u3046\u306bSQL\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\u5143\u3068\u3057\u3066\u306eParquet\u30d5\u30a1\u30a4\u30eb\u306b\u683c\u7d0d\u3055\u308c\u307e\u3059\u3002\r\n<\/span>parquetSchema<\/span> =<\/span> (<\/span>\r\n  StructType<\/span>()<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>timestamp<\/span>\"<\/span>,<\/span> TimestampType<\/span>())<\/span> # \u30bd\u30fc\u30b9\u306e\u30a4\u30d9\u30f3\u30c8\u6642\u9593\r\n<\/span>  .<\/span>add<\/span>(<\/span>\"<\/span>deviceId<\/span>\"<\/span>,<\/span> LongType<\/span>())<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>deviceType<\/span>\"<\/span>,<\/span> StringType<\/span>())<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>signalStrength<\/span>\"<\/span>,<\/span> DoubleType<\/span>())<\/span>\r\n  .<\/span>add<\/span>(<\/span>\"<\/span>INPUT_FILE_NAME<\/span>\"<\/span>,<\/span> StringType<\/span>())<\/span> # \u3053\u306e\u30c7\u30fc\u30bf\u30a2\u30a4\u30c6\u30e0\u3092\u8aad\u307f\u8fbc\u3093\u3060\u30d5\u30a1\u30a4\u30eb\u540d\r\n<\/span>  .<\/span>add<\/span>(<\/span>\"<\/span>PROCESSED_TIME<\/span>\"<\/span>,<\/span> TimestampType<\/span>()))<\/span> # \u51e6\u7406\u4e2d\u306e\u30a8\u30b0\u30bc\u30ad\u30e5\u30fc\u30bf\u30fc\u306e\u6642\u9593\r\n<\/span><\/code><\/pre>\n
      \u4ece\u5bf9\u8c61\u5b58\u50a8\u6e90\u8bfb\u53d6\u6d41<\/h3>\n
      \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4e00\u6b21\u6027\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u6765\u6a21\u62dfKafka\u5b9e\u65f6\u6d41\u3002\u4f46\u662f\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u5c06\u5176\u4f5c\u4e3aApache Kafka\u7684\u4e3b\u9898\u3002<\/p>\n
      \u8bf7\u7559\u610f\uff1a
      \n\u7531\u4e8e\u6559\u7a0b\u9700\u8981\uff0c\u6211\u4eec\u6545\u610f\u5c06\u5904\u7406\u901f\u5ea6\u653e\u6162\u4e86\u3002<\/div>\n
      inputDF<\/span> =<\/span> (<\/span> spark<\/span> \r\n          .<\/span>readStream<\/span> \r\n          .<\/span>schema<\/span>(<\/span>jsonSchema<\/span>)<\/span> \r\n          .<\/span>option<\/span>(<\/span>\"<\/span>maxFilesPerTrigger<\/span>\"<\/span>,<\/span> 1<\/span>)<\/span>  # \u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u306e\u305f\u3081\u306b\u51e6\u7406\u3092\u9045\u304f\u3057\u3066\u3044\u307e\u3059\r\n<\/span>          .<\/span>option<\/span>(<\/span>\"<\/span>badRecordsPath<\/span>\"<\/span>,<\/span> bad_records_path<\/span>)<\/span> # \u3044\u304b\u306a\u308b\u4e0d\u6b63\u30ec\u30b3\u30fc\u30c9\u306f\u3053\u3061\u3089\u306b\u683c\u7d0d\u3055\u308c\u307e\u3059\r\n<\/span>          .<\/span>json<\/span>(<\/span>sensor_path<\/span>)<\/span> # \u30bd\u30fc\u30b9\r\n<\/span>          .<\/span>withColumn<\/span>(<\/span>\"<\/span>INPUT_FILE_NAME<\/span>\"<\/span>,<\/span> input_file_name<\/span>())<\/span> # \u30d5\u30a1\u30a4\u30eb\u30d1\u30b9\u3092\u4fdd\u6301\r\n<\/span>          .<\/span>withColumn<\/span>(<\/span>\"<\/span>PROCESSED_TIME<\/span>\"<\/span>,<\/span> current_timestamp<\/span>())<\/span> # \u51e6\u7406\u6642\u523b\u306e\u30bf\u30a4\u30e0\u30b9\u30bf\u30f3\u30d7\u3092\u8ffd\u52a0\r\n<\/span>          .<\/span>withWatermark<\/span>(<\/span>\"<\/span>PROCESSED_TIME<\/span>\"<\/span>,<\/span> \"<\/span>1 minute<\/span>\"<\/span>)<\/span> # \u30aa\u30d7\u30b7\u30e7\u30f3: \u9806\u5e8f\u304c\u9045\u308c\u305f\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30a6\u30a3\u30f3\u30c9\u30a6\r\n<\/span>         )<\/span>\r\n<\/code><\/pre>\n
      \u5411Parquet\u6587\u4ef6\u540c\u6b65\u5199\u5165\u6d41\u3002<\/h3>\n
      query<\/span> =<\/span> (<\/span>inputDF<\/span>\r\n         .<\/span>writeStream<\/span>\r\n         .<\/span>format<\/span>(<\/span>\"<\/span>parquet<\/span>\"<\/span>)<\/span> # \u5f8c\u6bb5\u51e6\u7406\u3042\u308b\u3044\u306f\u5fc5\u8981\u306b\u5fdc\u3058\u3066\u30d0\u30c3\u30c1\u30af\u30a8\u30ea\u30fc\u306e\u305f\u3081\u306b\u4fdd\u5b58\u3092\u884c\u3046\u30b7\u30f3\u30af\r\n<\/span>         .<\/span>option<\/span>(<\/span>\"<\/span>path<\/span>\"<\/span>,<\/span> output_path<\/span>)<\/span>\r\n         .<\/span>option<\/span>(<\/span>\"<\/span>checkpointLocation<\/span>\"<\/span>,<\/span> checkpoint_path<\/span>)<\/span> # \u969c\u5bb3\u5fa9\u65e7\u306e\u305f\u3081\u306e\u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u306e\u8ffd\u52a0\r\n<\/span>         .<\/span>outputMode<\/span>(<\/span>\"<\/span>append<\/span>\"<\/span>)<\/span>\r\n         .<\/span>queryName<\/span>(<\/span>\"<\/span>devices<\/span>\"<\/span>)<\/span> # \u30aa\u30d7\u30b7\u30e7\u30f3\u3068\u3057\u3066\u3001\u30af\u30a8\u30ea\u30fc\u3092\u5b9f\u884c\u3059\u308b\u969b\u306b\u6307\u5b9a\u3059\u308b\u30af\u30a8\u30ea\u30fc\u540d\u3092\u6307\u5b9a\r\n<\/span>         .<\/span>trigger<\/span>(<\/span>processingTime<\/span>=<\/span>'<\/span>5 seconds<\/span>'<\/span>)<\/span>\r\n         .<\/span>start<\/span>()<\/span> \r\n        )<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u4ece\u8f93\u5165\u6d41\u521b\u5efa\u4e00\u4e2a\u4e34\u65f6\u8868\uff0c\u4ee5\u4fbf\u80fd\u591f\u5feb\u901f\u6267\u884cSQL\u67e5\u8be2\u3002<\/h4>\n
      inputDF<\/span>.<\/span>createOrReplaceTempView<\/span>(<\/span>\"<\/span>parquet_sensors<\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \u5bf9\u7531\u8f93\u5165\u6d41\u521b\u5efa\u7684\u4e34\u65f6\u8868\u6267\u884c\u67e5\u8be2<\/h3>\n
      %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> parquet_sensors<\/span> where<\/span> deviceType<\/span> =<\/span> 'SensorTypeD'<\/span> or<\/span> deviceType<\/span> =<\/span> 'SensorTypeA'<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u5bf9\u4fdd\u5b58\u5728\u8f93\u5165\u6d41\u4e2d\u7684Parquet\u6587\u4ef6\u8fdb\u884c\u9644\u52a0\u5904\u7406\uff0c\u5e76\u6267\u884c\u67e5\u8be2\u3002<\/h3>\n
      spark<\/span>.<\/span>conf<\/span>.<\/span>set<\/span>(<\/span>\"<\/span>spark.sql.shuffle.partitions<\/span>\"<\/span>,<\/span> \"<\/span>1<\/span>\"<\/span>)<\/span> # \u512a\u308c\u305f\u30af\u30a8\u30ea\u30fc\u6027\u80fd\u306e\u305f\u3081\u306b\u30b7\u30e3\u30c3\u30d5\u30eb\u30b5\u30a4\u30ba\u3092\u5c0f\u3055\u304f\u7dad\u6301\r\n<\/span>devices<\/span> =<\/span> (<\/span>spark<\/span>.<\/span>readStream<\/span>\r\n           .<\/span>schema<\/span>(<\/span>parquetSchema<\/span>)<\/span>\r\n           .<\/span>format<\/span>(<\/span>\"<\/span>parquet<\/span>\"<\/span>)<\/span>\r\n           .<\/span>option<\/span>(<\/span>\"<\/span>maxFilesPerTrigger<\/span>\"<\/span>,<\/span> 1<\/span>)<\/span> # \u30c7\u30e2\u306e\u305f\u3081\u306b\u9045\u304f\u3057\u3066\u3044\u307e\u3059\r\n<\/span>           .<\/span>load<\/span>(<\/span>output_path<\/span>)<\/span>\r\n           .<\/span>withWatermark<\/span>(<\/span>\"<\/span>PROCESSED_TIME<\/span>\"<\/span>,<\/span> \"<\/span>1 minute<\/span>\"<\/span>)<\/span> # \u9806\u5e8f\u3092\u5b88\u3089\u306a\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30a6\u30a3\u30f3\u30c9\u30a6\r\n<\/span>          )<\/span>\r\n\r\n # \u3088\u308a\u8907\u96d1\u306a\u96c6\u8a08\u30af\u30a8\u30ea\u30fc\u3092\u884c\u3046\u305f\u3081\u306b\u4e00\u6642\u30c6\u30fc\u30d6\u30eb\u3092\u4f5c\u6210\r\n<\/span>devices<\/span>.<\/span>createOrReplaceTempView<\/span>(<\/span>\"<\/span>sensors<\/span>\"<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \u5373\u4f7f\u964d\u4f4e\u4e86\u8d28\u91cf\uff0c\u6211\u4eec\u8fd8\u662f\u4f1a\u7ee7\u7eed\u6267\u884c\u6d41\u67e5\u8be2\u3002<\/p>\n
      \u54ea\u4e2a\u6587\u4ef6\u88ab\u5904\u7406\u4e86\uff1f<\/h4>\n
      display<\/span>(<\/span>\r\n  devices<\/span>.<\/span>\r\n  select<\/span>(<\/span>\"<\/span>INPUT_FILE_NAME<\/span>\"<\/span>,<\/span> \"<\/span>PROCESSED_TIME<\/span>\"<\/span>)<\/span>\r\n  .<\/span>groupBy<\/span>(<\/span>\"<\/span>INPUT_FILE_NAME<\/span>\"<\/span>,<\/span> \"<\/span>PROCESSED_TIME<\/span>\"<\/span>)<\/span>\r\n  .<\/span>count<\/span>()<\/span>\r\n  .<\/span>orderBy<\/span>(<\/span>\"<\/span>PROCESSED_TIME<\/span>\"<\/span>,<\/span> ascending<\/span>=<\/span>False<\/span>)<\/span>\r\n)<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u6709\u591a\u5c11\u6570\u636e\u7ecf\u8fc7\u4e86\uff1f<\/h4>\n
      %<\/span>sql<\/span> select<\/span> count<\/span>(<\/span>*<\/span>)<\/span> from<\/span> sensors<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u6bcf\u79cd\u4f20\u611f\u5668\u7c7b\u578b\u7684\u5f3a\u5ea6\u6700\u5c0f\u503c\u3001\u6700\u5927\u503c\u548c\u5e73\u5747\u503c\u5206\u522b\u5982\u4f55\uff1f<\/h4>\n
      \u5728Spark SQL\u4e2d\u4f7f\u7528min()\u3001max()\u548cavg()\u51fd\u6570\u3002<\/p>\n
      \u8bf7\u6ce8\u610f\uff0c\u5728Python\u7b14\u8bb0\u672c\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528%sql\u9b54\u672f\u547d\u4ee4\u6765\u4f7f\u7528SQL\u3002<\/div>\n
      %<\/span>sql<\/span> \r\n\r\nselect<\/span> count<\/span>(<\/span>*<\/span>),<\/span> deviceType<\/span>,<\/span> min<\/span>(<\/span>signalStrength<\/span>),<\/span> max<\/span>(<\/span>signalStrength<\/span>),<\/span> avg<\/span>(<\/span>signalStrength<\/span>)<\/span> \r\n  from<\/span> sensors<\/span> \r\n    group<\/span> by<\/span> deviceType<\/span> \r\n    order<\/span> by<\/span> deviceType<\/span> asc<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u8ba9\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u6d41\u6765\u6c47\u603b\u8bbe\u5907\u548c\u6bcf5\u79d2\u7a97\u53e3\u7684\u4fe1\u53f7\u8ba1\u6570\u3002<\/h4>\n
      \u8bf7\u6ce8\u610f\uff0c\u8fd9\u662f\u4e00\u4e2a\u5f39\u6027\u7a97\u53e3\uff0c\u800c\u4e0d\u662f\u6ed1\u52a8\u7a97\u53e3\u3002\u5927\u5c0f\u4e3a5\u79d2\u3002<\/div>\n
      \u4f8b\u5982\uff0c\u5bf9\u4e8e\u5c3a\u5bf8\u4e3a5\u7684\u65f6\u3001\u5206\u7684\u6eda\u52a8\u7a97\u53e3\uff0c\u5982\u4e0b\u6240\u793a\u3002<\/p>\n
      [(00:00 – 00:05), (00:05 – 00:10), (00:10 – 00:15)] \u53ef\u63d0\u4f9b\u4e00\u79cd\u9009\u62e9:<\/p>\n
      \u8be5\u6d3b\u52a8\u5c06\u5c5e\u4e8e\u8fd9\u4e9b\u6eda\u52a8\u7a97\u53e3\u4e2d\u7684\u4efb\u610f\u4e00\u4e2a\u3002<\/p>\n
      (<\/span>devices<\/span>\r\n .<\/span>groupBy<\/span>(<\/span>\r\n   window<\/span>(<\/span>\"<\/span>timestamp<\/span>\"<\/span>,<\/span> \"<\/span>5 seconds<\/span>\"<\/span>),<\/span>\r\n   \"<\/span>deviceId<\/span>\"<\/span>\r\n )<\/span>\r\n .<\/span>count<\/span>()<\/span>\r\n .<\/span>createOrReplaceTempView<\/span>(<\/span>\"<\/span>sensor_counts<\/span>\"<\/span>))<\/span> # \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u3092\u7528\u3044\u3066\u4e00\u6642\u30d3\u30e5\u30fc\u3092\u4f5c\u6210\r\n<\/span><\/code><\/pre>\n
      \u5728\u8fd95\u79d2\u7684\u65f6\u95f4\u7a97\u53e3\u5185\uff0c\u54ea\u4e2a\u8bbe\u5907\u7ecf\u5386\u4e86\u4fe1\u53f7\u7684\u4e22\u5931\uff1f<\/h4>\n
      %<\/span>sql<\/span> select<\/span> *<\/span> from<\/span> sensor_counts<\/span> where<\/span> count<\/span> <<\/span> 5<\/span> order<\/span> by<\/span> window<\/span>.<\/span>start<\/span> desc<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u53ef\u80fd\u5b58\u5728\u7740\u4f20\u8f93\u4fe1\u53f7\u672a\u53d1\u9001\u7684\u611f\u5e94\u5668\u8b66\u62a5\u53ef\u80fd\u8981\u53d1\u9001\u8b66\u62a5\u3002<\/h3>\n
      \u8ba9\u6211\u4eec\u4ece\u4e34\u65f6\u8868sensor_counts\u4e2d\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u5e27\u3002<\/p>\n
      lost_sensor_signals<\/span> =<\/span> (<\/span>spark<\/span>.<\/span>table<\/span>(<\/span>\"<\/span>sensor_counts<\/span>\"<\/span>)<\/span>\r\n         .<\/span>filter<\/span>(<\/span>col<\/span>(<\/span>\"<\/span>count<\/span>\"<\/span>)<\/span> <<\/span> 5<\/span>)<\/span>\r\n         .<\/span>select<\/span>(<\/span>\"<\/span>window.start<\/span>\"<\/span>,<\/span> \"<\/span>window.end<\/span>\"<\/span>,<\/span> \"<\/span>deviceId<\/span>\"<\/span>,<\/span> \"<\/span>count<\/span>\"<\/span>)<\/span>\r\n         )<\/span>\r\n\r\n# \u30c7\u30fc\u30bf\u30d5\u30ec\u30fc\u30e0\u306e\u8868\u793a\r\n<\/span>display<\/span>(<\/span>lost_sensor_signals<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u4e3a\u4e86\u5c06\u5de5\u4eba\u7684\u65e5\u5fd7\u5199\u5165\uff0c\u5229\u7528foreach\u673a\u5236\u3002<\/h5>\n
      \u8fd9\u4e2a\u53ef\u4ee5\u7528\u4e8e\u76d1\u63a7\u7684\u76ee\u7684\u3002\u53e6\u4e00\u4e2a\u5de5\u4f5c\u53ef\u4ee5\u626b\u63cf\u65e5\u5fd7\u4ee5\u83b7\u5f97\u8b66\u62a5\uff0c\u5e76\u5c06\u5176\u53d1\u5e03\u5230Kafka\u7684\u4e3b\u9898\u4e2d\uff0c\u6216\u8005\u5c06\u5176\u53d1\u5e03\u5230Ganglia\u3002\u5982\u679c\u6709\u53ef\u7528\u7684Kafka\u670d\u52a1\u5668\u6216\u53ef\u4ee5\u901a\u8fc7REST API\u4f7f\u7528\u7684Ganglia\u670d\u52a1\uff0c\u90a3\u4e48\u5c1d\u8bd5\u4e00\u4e0b\u4f1a\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u7ec3\u4e60\u3002<\/p>\n
      def<\/span> processRow<\/span>(<\/span>row<\/span>):<\/span>\r\n  # \u4eca\u6642\u70b9\u3067\u306f\u30ed\u30b0\u30d5\u30a1\u30a4\u30eb\u306b\u66f8\u304d\u8fbc\u307f\u3092\u884c\u3044\u307e\u3059\u304c\u3001\u3053\u306e\u30ed\u30b8\u30c3\u30af\u306f\u5bb9\u6613\u306bKafka\u306e\u30c8\u30d4\u30c3\u30af\u3084\u3001Ganglia\u3084PagerDuty\u306e\u3088\u3046\u306a\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3001\u30da\u30fc\u30b8\u30f3\u30b0\u30b5\u30fc\u30d3\u30b9\u306b\u30a2\u30e9\u30fc\u30c8\u3092\u767a\u884c\u3059\u308b\u3088\u3046\u306b\u62e1\u5f35\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\r\n<\/span>  print<\/span>(<\/span>\"<\/span>ALERT from Sensors: Between {} and {}, device {} reported only {} times<\/span>\"<\/span>.<\/span>format<\/span>(<\/span>row<\/span>.<\/span>start<\/span>,<\/span> row<\/span>.<\/span>end<\/span>,<\/span> row<\/span>.<\/span>deviceId<\/span>,<\/span> row<\/span>[<\/span>3<\/span>]))<\/span>\r\n  \r\n(<\/span>lost_sensor_signals<\/span>\r\n .<\/span>writeStream<\/span>\r\n .<\/span>outputMode<\/span>(<\/span>\"<\/span>complete<\/span>\"<\/span>)<\/span> # \u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306bKafka\u306e\"alerts\"\u30c8\u30d4\u30c3\u30af\u306b\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\r\n<\/span> .<\/span>foreach<\/span>(<\/span>processRow<\/span>)<\/span>\r\n .<\/span>start<\/span>()<\/span>\r\n)<\/span>\r\n<\/code><\/pre>\n
      \u8fd9\u662f\u4e00\u4e2a\u751f\u6210\u7ed3\u679c\u7684\u793a\u4f8b\u3002<\/p>\n
      \"\"<\/div>\n
      \u6570\u636e\u6e05\u7406<\/h2>\n
      \u83b7\u53d6\u6240\u6709\u6b63\u5728\u8fd0\u884c\u7684\u67e5\u8be2<\/h3>\n
      sqm<\/span> =<\/span> spark<\/span>.<\/span>streams<\/span>\r\n[<\/span>q<\/span>.<\/span>name<\/span> for<\/span> q<\/span> in<\/span> sqm<\/span>.<\/span>active<\/span>]<\/span>\r\n<\/code><\/pre>\n
      \"Screen<\/div>\n
      \u505c\u6b62\u6d41\u5a92\u4f53<\/h3>\n
      [<\/span>q<\/span>.<\/span>stop<\/span>()<\/span> for<\/span> q<\/span> in<\/span> sqm<\/span>.<\/span>active<\/span>]<\/span>\r\n<\/code><\/pre>\n
      Databricks \u514d\u8d39\u8bd5\u7528<\/h3>\n
      Databricks \u514d\u8d39\u8bd5\u7528<\/p>\n","protected":false},"excerpt":{"rendered":"
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