{"id":346455,"date":"2023-05-24T19:34:35","date_gmt":"2023-05-24T11:34:35","guid":{"rendered":"https:\/\/www.idc.net\/help\/346455\/"},"modified":"2023-05-24T19:34:35","modified_gmt":"2023-05-24T11:34:35","slug":"%e6%b5%81%e8%ae%a1%e7%ae%97%e5%bc%95%e6%93%8e%e6%95%b0%e6%8d%ae%e4%b8%80%e8%87%b4%e6%80%a7%e7%9a%84%e6%9c%ac%e8%b4%a8","status":"publish","type":"post","link":"https:\/\/idc.net\/help\/346455\/","title":{"rendered":"\u6d41\u8ba1\u7b97\u5f15\u64ce\u6570\u636e\u4e00\u81f4\u6027\u7684\u672c\u8d28"},"content":{"rendered":"<p>\u6d41\u8ba1\u7b97\u7684\u5e94\u7528\u4e0e\u5b9e\u8df5\u5728\u5927\u6570\u636e\u9886\u57df\u8d8a\u6765\u8d8a\u5e38\u89c1\uff0c\u5176\u91cd\u8981\u6027\u4e0d\u8a00\u800c\u55bb\uff0c\u5e38\u89c1\u7684\u6d41\u8ba1\u7b97\u5f15\u64ce\u6709 Google DataFlow\u3001Apache Flink\uff0cApache Kafka Streams\uff0cApache Spark Streaming 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Semantics)\u6d41\u5904\u7406\u8bed\u4e49\uff0c\u8868\u793a(\u6216\u6697\u793a)\u5f15\u64ce\u5177\u5907\u4fdd\u8bc1\u6570\u636e\u4e00\u81f4\u6027\u7684\u80fd\u529b\u3002\u4e8b\u5b9e\u4e0a\uff0c\u300c\u6070\u597d\u4e00\u6b21(Exactly-Once)\u300d\u5e76\u4e0d\u7b49\u4ef7\u4e8e\u6d41\u8ba1\u7b97\u7684\u8f93\u51fa\u6570\u636e\u5c31\u7b26\u5408\u4e00\u81f4\u6027\u7684\u8981\u6c42\uff0c\u8be5\u672f\u8bed\u5b58\u5728\u5f88\u591a\u7406\u89e3\u548c\u4f7f\u7528\u4e0a\u7684\u8bef\u533a\u3002<\/p>\n<p>\u672c\u7bc7\u6587\u7ae0\u4ece\u6d41\u8ba1\u7b97\u7684\u672c\u8d28\u51fa\u53d1\uff0c\u91cd\u70b9\u5206\u6790\u6d41\u8ba1\u7b97\u9886\u57df\u4e2d\u6570\u636e\u5904\u7406\u7684\u4e00\u81f4\u6027\u95ee\u9898\uff0c\u540c\u65f6\u5bf9\u4e00\u81f4\u6027\u95ee\u9898\u8fdb\u884c\u7b80\u5355\u7684\u5f62\u5f0f\u5316\u5b9a\u4e49\uff0c\u63d0\u4f9b\u4e00\u4e2a\u4e00\u7aa5\u5f53\u4e0b\u6d41\u8ba1\u7b97\u5f15\u64ce\u53d1\u5c55\u8109\u7edc\u7684\u89c6\u89d2\uff0c\u8ba9\u5927\u5bb6\u5bf9\u6d41\u8ba1\u7b97\u5f15\u64ce\u7684\u8ba4\u8bc6\u66f4\u4e3a\u6df1\u5165\uff0c\u4e3a\u53ef\u80fd\u7684\u6d41\u8ba1\u7b97\u6280\u672f\u9009\u578b\u63d0\u4f9b\u4e00\u4e9b\u53c2\u8003\u3002\u6587\u7ae0\u4e3b\u8981\u5206\u4e3a\u4e09\u4e2a\u90e8\u5206\uff1a\u7b2c\u4e00\u90e8\u5206\uff0c\u4f1a\u4ecb\u7ecd\u6d41\u8ba1\u7b97\u7cfb\u7edf\u548c\u4e00\u81f4\u6027\u96be\u9898\u7684\u672c\u8d28;\u7b2c\u4e8c\u90e8\u5206\uff0c\u4f1a\u4ecb\u7ecd\u4e00\u81f4\u6027\u96be\u9898\u7684\u901a\u7528\u89e3\u6cd5\u4ee5\u53ca\u5404\u79cd\u65b9\u6848\u95f4\u7684\u53d6\u820d;\u7b2c\u4e09\u90e8\u5206\uff0c\u4f1a\u4ecb\u7ecd\u4e3b\u6d41\u7684\u6d41\u8ba1\u7b97\u5f15\u64ce\u662f\u5982\u4f55\u5bf9\u901a\u7528\u89e3\u6cd5\u8fdb\u884c\u6cdb\u5316\u4ee5\u5b9e\u73b0\u4e00\u81f4\u6027\u3002<\/p>\n<h2>\u4e00\u3001\u6d41\u8ba1\u7b97\u4e2d\u7684\u4e00\u81f4\u6027<\/h2>\n<p>\u5728\u8ba4\u8bc6\u6d41\u8ba1\u7b97\u7cfb\u7edf\u4e00\u81f4\u6027\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u7cbe\u786e\u5b9a\u4e49\u6d41\u8ba1\u7b97\u3002\u6d41(Streaming)\u8ba1\u7b97\u662f\u4e00\u79cd\u5728\u65e0\u8fb9\u754c\u6570\u636e(unbounded data)\u4e0a\u8fdb\u884c\u4f4e\u5ef6\u8fdf\u8ba1\u7b97\u7684\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u3002\u76f8\u5e94\u7684\uff0c\u6279\u8ba1\u7b97\u66f4\u51c6\u786e\u7684\u8bf4\u6cd5\u662f\u6709\u754c\u6570\u636e(bounded data)\u7684\u5904\u7406\uff0c\u4ea6\u5373\u6709\u660e\u786e\u8fb9\u754c\u7684\u6570\u636e\u5904\u7406\uff0c\u6d41\u548c\u6279\u53ea\u662f\u4e24\u79cd\u4e0d\u540c\u6570\u636e\u96c6\u7684\u4f20\u7edf\u6570\u636e\u8ba1\u7b97\u65b9\u6cd5\uff0c\u5b83\u4eec\u5e76\u4e0d\u662f\u6cfe\u6e2d\u5206\u660e\u7684\uff0c\u8b6c\u5982\u4e5f\u53ef\u4ee5\u901a\u8fc7\u6279\u91cf\u7684\u65b9\u5f0f(e.g. Spark Streaming \u4e2d\u7684 micro-batch)\u6765\u5b9e\u73b0\u65e0\u754c\u6570\u636e\u4e0a\u7684\u6d41\u5904\u7406\u8fc7\u7a0b\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<h3>1.\u4e00\u81f4\u6027\u5b9a\u4e49\u53ca\u6311\u6218<\/h3>\n<p>\u5982\u679c\u6211\u4eec\u5c06\u6d41\u8ba1\u7b97\u7684\u8fc7\u7a0b(\u83b7\u53d6\u8f93\u5165\u6570\u636e\u3001\u5904\u7406\u6570\u636e\u3001\u8f93\u51fa\u8ba1\u7b97\u7ed3\u679c)\u89c6\u4e3a\u6570\u636e\u5e93\u7684\u4e3b\u4ece\u540c\u6b65\u8fc7\u7a0b\uff0c\u6291\u6216\u89c6\u4e3a\u4e00\u79cd\u4ece\u6d41\u6570\u636e\u751f\u6210\u884d\u751f\u6570\u636e\u96c6(\u8868)\u7684\u8fc7\u7a0b\uff0c\u5219\u6d41\u8ba1\u7b97\u4e2d\u7684\u6570\u636e\u4e00\u81f4\u6027\u540c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e8b\u52a1 ACID \u7406\u8bba\u4e2d\u7684 Consistency \u6709\u5f02\u66f2\u540c\u5de5\u4e4b\u5999\uff0c\u540e\u8005\u6307\u7684\u662f\u5728\u4e8b\u52a1\u5f00\u59cb\u6216\u7ed3\u675f\u65f6\uff0c\u6570\u636e\u5e93\u4e2d\u7684\u8bb0\u5f55\u5e94\u8be5\u5728\u4e00\u81f4\u72b6\u6001\uff0c\u76f8\u5e94\u5730\uff0c\u6d41\u8ba1\u7b97\u4e2d\u7684\u4e00\u81f4\u6027\u53ef\u4ee5\u5b9a\u4e49\u4e3a\uff1a\u6d41\u8ba1\u7b97\u7cfb\u7edf\u5728\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u6216\u662f\u51fa\u73b0\u6545\u969c\u6062\u590d\u8ba1\u7b97\u540e\uff0c\u6d41\u7cfb\u7edf\u7684\u5185\u90e8\u72b6\u6001\u548c\u5916\u90e8\u8f93\u51fa\u7684\u6570\u636e\u5e94\u8be5\u5904\u5728\u4e00\u81f4\u7684\u72b6\u6001\u3002\u8b6c\u5982\uff0c\u5f53\u6545\u969c\u6062\u590d\u540e\u5f00\u59cb\u91cd\u65b0\u8ba1\u7b97\uff0c\u8ba1\u7b97\u7684\u7ed3\u679c\u662f\u5426\u6ee1\u8db3\u6570\u636e\u7684\u4e00\u81f4\u6027(\u5373\u7528\u6237\u65e0\u6cd5\u533a\u5206\u6062\u590d\u524d\u548c\u6062\u590d\u540e\u7684\u6570\u636e)?\u8bb0\u5f55\u662f\u5426\u4f1a\u91cd\u590d\/\u4e22\u5931\uff0c\u7b2c\u4e09\u65b9\u7cfb\u7edf\u5bf9\u540c\u4e00\u6761\u8ba1\u7b97\u7ed3\u679c\u7684\u591a\u6b21\u83b7\u53d6\uff0c\u662f\u5426\u4f1a\u5b58\u5728\u503c\u4e0a\u7684\u4e0d\u4e00\u81f4?\u5bf9\u4e00\u81f4\u6027\u6709\u4e86\u6e05\u6670\u7684\u8ba4\u77e5\u548c\u5b9a\u4e49\u540e\uff0c\u6211\u4eec\u6765\u770b\u770b\u4e3a\u4ec0\u4e48\u5b9e\u73b0\u4e00\u81f4\u6027\u8fd9\u4e48\u96be\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<p>\u5728\u5b9a\u4e49\u4e00\u4e2d\u6211\u4eec\u53ef\u4ee5\u770b\u5230\uff0c\u6d41\u8ba1\u7b97\u8f93\u5165\u7684\u6570\u636e\u662f\u65e0\u8fb9\u754c\u7684\uff0c\u6240\u4ee5\u7cfb\u7edf\u4e2d\u4f1a\u5b58\u5728\u6d88\u606f\u62b5\u8fbe\u6d41\u8ba1\u7b97\u7cfb\u7edf\u5ef6\u8fdf\u3001\u987a\u5e8f\u9519\u4e71\u3001\u6570\u91cf\/\u89c4\u6a21\u672a\u77e5\u7b49\u4e0d\u786e\u5b9a\u56e0\u7d20\uff0c\u8fd9\u4e5f\u662f\u6d41\u8ba1\u7b97\u7cfb\u7edf\u4e00\u81f4\u6027\u590d\u6742\u6027\u8fdc\u8fdc\u5927\u4e8e\u6279\u5904\u7406\u7cfb\u7edf\u7684\u539f\u56e0\uff1a\u6279\u5904\u7406\u7cfb\u7edf\u4e2d\u7684\u8f93\u5165\u662f\u786e\u5b9a\u7684\uff0c\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u7684\u539f\u5b50\u6027\u6765\u4fdd\u8bc1\u6570\u636e\u7684\u4e00\u81f4\u6027(\u5982 Spark \u4e2d\u7684 RDD \u8840\u7f18)\u3002\u6b64\u5916\uff0c\u540c\u5176\u4ed6\u5206\u5e03\u5f0f\u5e94\u7528\u4e00\u6837\uff0c\u6d41\u8ba1\u7b97\u7cfb\u7edf\u7ecf\u5e38\u4e5f\u4f1a\u53d7\u5230\u5404\u7c7b\u610f\u5916\u56e0\u7d20\u7684\u5f71\u54cd\u800c\u53d1\u751f\u6545\u969c\uff0c\u6bd4\u5982\u6d41\u91cf\u6fc0\u589e\u3001\u7f51\u7edc\u6296\u52a8\u3001\u4e91\u670d\u52a1\u8d44\u6e90\u5206\u914d\u51fa\u73b0\u95ee\u9898\u7b49\uff0c\u53d1\u751f\u6545\u969c\u540e\u91cd\u65b0\u6267\u884c\u8ba1\u7b97\uff0c\u5728\u5b58\u5728\u4e0d\u786e\u5b9a\u8f93\u5165\u7684\u524d\u63d0\u4e0b\u8bbe\u8ba1\u5065\u58ee\u7684\u5bb9\u9519\u673a\u5236\u96be\u5ea6\u5f88\u5927\u3002<\/p>\n<p>\u9664\u4e86\u6570\u636e\u8f93\u5165\u5e26\u6765\u7684\u6311\u6218\uff0c\u6d41\u8ba1\u7b97\u8f93\u51fa\u7684\u6570\u636e\u4f1a\u88ab\u5b9e\u65f6\u6d88\u8d39\uff0c\u7c7b\u4f3c\u8fd9\u6837\u4e0d\u540c\u4e8e\u6279\u5904\u7406\u7684\u5e94\u7528\u573a\u666f\uff0c\u4e5f\u7ed9\u6570\u636e\u7684\u4e00\u81f4\u6027\u5e26\u6765\u7684\u8bf8\u591a\u6311\u6218\uff0c\u5982\u51fa\u73b0 FO \u540e\uff0c\u662f\u64a4\u56de\u4e4b\u524d\u53d1\u51fa\u7684\u6570\u636e\uff0c\u8fd8\u662f\u662f\u540c\u4e0b\u6e38\u8fdb\u884c\u534f\u5546\u5b9e\u73b0\u4e00\u81f4\u6027\uff0c\u90fd\u662f\u9700\u8981\u8003\u8651\u7684\u3002<\/p>\n<h3>2.\u4e00\u81f4\u6027\u76f8\u5173\u6982\u5ff5\u795b\u9b45<\/h3>\n<p>\u6b63\u786e\u8ba4\u8bc6\u6d41\u8ba1\u7b97\u7cfb\u7edf\u4e00\u81f4\u6027\u7684\u5185\u5728\u542b\u4e49\u548c\u5176\u80fd\u529b\u8303\u7574\uff0c\u5bf9\u6211\u4eec\u6784\u5efa\u6b63\u786e\u4e14\u5065\u58ee\u7684\u6d41\u8ba1\u7b97\u4efb\u52a1\u81f3\u5173\u91cd\u8981\u3002\u4e0b\u9762\u6211\u4f1a\u4ecb\u7ecd\u51e0\u7ec4\u6982\u5ff5\uff0c\u4ee5\u4fbf\u4e8e\u5927\u5bb6\u66f4\u597d\u5730\u7406\u89e3\u6d41\u8ba1\u7b97\u7cfb\u7edf\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<p><strong>\u6070\u597d\u4e00\u6b21\u2260\u6070\u597d\u4e00\u81f4<\/strong><\/p>\n<p>\u4eca\u5929\u5927\u591a\u6570\u6d41\u8ba1\u7b97\u5f15\u64ce\u7528\u300cExactly-Once\u300d\u53bb\u6697\u793a\u7528\u6237\uff1a\u65e2\u7136\u8f93\u5165\u7684\u6570\u636e\u4e0d\u662f\u9759\u6001\u96c6\u5408\u800c\u662f\u4f1a\u8fde\u7eed\u53d8\u5316\u7684\uff0c\u90a3\u5bf9\u6bcf\u4e00\u6761\u6d88\u606f\u300c\u6070\u597d\u5904\u7406\u300d\u4e86\u4e00\u6b21\uff0c\u8f93\u51fa\u7684\u6570\u636e\u80af\u5b9a\u662f\u4e00\u81f4\u7684\u3002\u4e0a\u8ff0\u903b\u8f91\u7684\u63a8\u5bfc\u8fc7\u7a0b\u662f\u6ca1\u95ee\u9898\u7684\uff0c\u4f46\u5e76\u4e0d\u4e25\u8c28\uff0c\u56e0\u4e3a Exactly-Once \u4f5c\u4e3a\u4e00\u4e2a\u5f62\u5bb9\u8bcd\uff0c\u540e\u9762\u6240\u8fde\u63a5\u7684\u52a8\u8bcd\u6216\u8005\u5bbe\u8bed\u88ab\u6545\u610f\u62b9\u53bb\u4e86\uff0c\u4e0d\u540c\u7684\u8868\u8fbe\u542b\u4e49\u4e5f\u4f1a\u5927\u76f8\u5f84\u5ead\u3002<\/p>\n<p>\u4f8b\u5b501\uff0c\u540e\u63a5\u4e0d\u540c\u7684\u52a8(\u540d)\u8bcd\uff1aExactly-once Delivery \u548c Exactly-once Process \u3002\u524d\u8005\u662f\u5bf9\u6d88\u606f\u4f20\u8f93\u5c42\u9762\u7684\u8bed\u4e49\u8868\u8fbe\uff0c\u548c\u6d41\u8ba1\u7b97\u7684\u4e00\u81f4\u6027\u5173\u7cfb\u4e0d\u662f\u5f88\u5927\uff0c\u540e\u8005\u662f\u4ece\u6d41\u8ba1\u7b97\u7684\u5e94\u7528\u5c42\u9762\u53bb\u63cf\u8ff0\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u3002<\/p>\n<p>\u4f8b\u5b502\uff0c\u540e\u63a5\u4e0d\u540c\u7684\u540d\u8bcd\uff1aExactly-once State Consistency \u548c Exactly-once Process Consistency\u3002\u524d\u8005\u662f Flink \u5728\u5b98\u7f51\u4e2d\u5bf9\u5176\u4e00\u81f4\u6027\u7684\u53d9\u8ff0\uff0c\u540e\u8005\u662f Kafka Streaming \u7684\u4e00\u81f4\u6027\u4fdd\u8bc1\uff0c\u524d\u8005\u7684\u8bed\u4e49\u7ea6\u675f\u5f31\u4e8e\u540e\u8005\u3002Exactly-once State Consistency \u53ea\u662f\u8868\u8fbe\u4e86\uff1a\u6d41\u8ba1\u7b97\u8981\u6c42\u5bf9\u72b6\u6001\u7684\u66f4\u65b0\u53ea\u63d0\u4ea4\u4e00\u6b21\u5230\u6301\u4e45\u540e\u7aef\u5b58\u50a8\uff0c\u4f46\u8fd9\u91cc\u7684\u72b6\u6001\u4e00\u822c\u4e0d\u5305\u62ec\u300c\u8f93\u51fa\u5230\u4e0b\u6e38\u7ed3\u679c\u300d\uff0c\u800c\u4ec5\u6307\u5f15\u64ce\u5185\u90e8\u7684\u72b6\u6001\uff0c\u8b6c\u5982\u5404\u4e2a\u7b97\u5b50\u7684\u72b6\u6001\u3001\u5b9e\u65f6\u6d41\u7684\u6d88\u8d39\u504f\u79fb\u7b49\uff0c\u6d41\u8ba1\u7b97\u5f15\u64ce\u5185\u90e8\u72b6\u6001\u53d8\u66f4\u7684\u4fdd\u8bc1\uff0c\u5e76\u4e0d\u80fd\u7b49\u4ef7\u4e8e\u4ece\u8f93\u5165\u5230\u8f93\u51fa\u7684\u4e00\u81f4\u6027\uff0c\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u9700\u8981\u4f60\u81ea\u5df1\u5173\u5fc3\u3002<\/p>\n<p>\u603b\u4e4b\uff0c\u5982\u4f55\u6211\u4eec\u540e\u9762\u518d\u770b\u5230 Exactly-once XXX\uff0c\u4e00\u5b9a\u8981\u8b66\u60d5\u5f15\u64ce\u60f3\u8981\u900f\u9732\u51fa\u4ec0\u4e48\u4fe1\u606f\u3002<\/p>\n<p><strong>\u7aef\u5230\u7aef\u7684\u6570\u636e\u4e00\u81f4\u6027<\/strong><\/p>\n<p>\u7aef\u5230\u7aef\u4e00\u81f4\u6027(End-To-Ene Consistency)\uff0c\u5373\u5c06\u6570\u636e\u7684\u8f93\u51fa\u4e5f\u4f5c\u4e3a\u6d41\u8ba1\u7b97\u5f15\u64ce\u7684\u4e00\u81f4\u6027\u8bbe\u8ba1\u7684\u4e00\u90e8\u5206\uff0c\u6b63\u786e\u7684\u7ed3\u679c\u8d2f\u7a7f\u7740\u8fd9\u6574\u4e2a\u6d41\u8ba1\u7b97\u5e94\u7528\u7684\u59cb\u7ec8\uff1a\u4ece\u8f93\u5165\u3001\u5904\u7406\u8fc7\u7a0b\u3001\u8f93\u51fa\uff0c\u6bcf\u4e00\u4e2a\u73af\u8282\u90fd\u9700\u8981\u4fdd\u8bc1\u5176\u81ea\u8eab\u7684\u6570\u636e\u4e00\u81f4\u6027\uff0c\u540c\u65f6\u5728\u6574\u4e2a\u6d41\u8ba1\u7b97\u6d41\u7a0b\u4e2d\uff0c\u4f5c\u4e3a\u6574\u4f53\u5b9e\u73b0\u4e86\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<p>\u4e0b\u9762\u53d9\u8ff0\u4e2d\uff0c\u5982\u679c\u4e0d\u662f\u7279\u610f\u8bf4\u660e\uff0c\u4e00\u81f4\u6027\u6307\u7684\u662f\u5f15\u64ce\u81ea\u8eab\u72b6\u6001\u7684\u4e00\u81f4\u6027\uff0c\u7aef\u5230\u7aef\u4e00\u81f4\u6307\u7684\u662f\u5305\u542b\u4e86\u8f93\u51fa\u7684\u4e00\u81f4\u6027\u3002<\/p>\n<h2>\u4e8c\u3001\u6d41\u8ba1\u7b97\u7cfb\u7edf\u7684\u672c\u8d28<\/h2>\n<p>\u524d\u9762\u6211\u4eec\u5b9a\u4e49\u4e86\u6d41\u8ba1\u7b97\u4e00\u81f4\u6027\u7684\u6982\u5ff5\uff0c\u8fd9\u4e00\u90e8\u5206\u5c06\u4f1a\u4ece\u6982\u5ff5\u51fa\u53d1\u5c06\u95ee\u9898\u8fdb\u884c\u5f62\u5f0f\u5316\u62c6\u89e3\uff0c\u4ee5\u4fbf\u5f97\u5230\u901a\u7528\u5316\u7684\u89e3\u6cd5\u3002<\/p>\n<h3>1.\u518d\u6b21\u8ba4\u8bc6\u6d41\u8ba1\u7b97<\/h3>\n<p>\u4e0a\u9762\u63d0\u5230\uff0c\u6d41\u8ba1\u7b97\u7684\u8f93\u5165\u6570\u636e\u662f\u6ca1\u6709\u8fb9\u754c\u7684\uff0c\u8fd9\u7b26\u5408\u6211\u4eec\u4f20\u7edf\u4e0a\u5bf9\u6d41\u8ba1\u7b97\u8ba4\u77e5\u3002\u5728\u300aSystem Streaming\u300b\u4e00\u4e66\u4e2d\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u4e2a\u5c06\u6d41\u6279\u7edf\u4e00\u8003\u8651\u7684\u6d41\u8ba1\u7b97\u7406\u8bba\u62bd\u8c61\uff0c\u5373\uff0c\u4efb\u610f\u7684\u6570\u636e\u7684\u5904\u7406\u90fd\u662f\u300c\u6d41(Stream)\u300d \u548c\u300c\u8868(Table)\u300d\u95f4\u7684\u4e92\u76f8\u8f6c\u6362\uff0c\u5176\u4e2d\u6d41\u7528\u6765\u8868\u5f81\u8fd0\u52a8\u4e2d\u7684\u6570\u636e\uff0c\u8868\u7528\u6765\u8868\u5f81\u9759\u6b62\u7684\u6570\u636e\uff1a<\/p>\n<ul>\n<li>\u6d41 -&gt; \u6d41\uff1a\u6ca1\u6709\u805a\u5408\u64cd\u4f5c\u7684\u6570\u636e\u5904\u7406\u8fc7\u7a0b;<\/li>\n<li>\u6d41 -&gt; \u8868\uff1a\u5b58\u5728\u805a\u5408\u64cd\u4f5c\u7684\u6570\u636e\u5904\u7406\u8fc7\u7a0b;<\/li>\n<li>\u8868 -&gt; \u6d41\uff1a\u89e6\u53d1\u8f93\u51fa\u8868\u6570\u636e\u53d8\u5316\u7684\u60c5\u51b5;<\/li>\n<li>\u8868 -&gt; \u8868\uff1a\u4e0d\u5b58\u5728\u8fd9\u6837\u7684\u6570\u636e\u5904\u7406\u903b\u8f91\u3002<\/li>\n<\/ul>\n<p>\u5728\u8fd9\u4e2a\u7edf\u4e00\u7684\u7406\u8bba\u6846\u67b6\u4e0b\uff0c\u6279\u5904\u7406\u8fc7\u7a0b\u7684\u4e00\u81f4\u6027\u4e5f\u53ef\u4ee5\u7eb3\u5165\u672c\u6587\u8ba8\u8bba\u7684\u8303\u7574\u4e2d\u6765\u3002\u4f46\u65e0\u8bba\u662f\u7eaf\u7cb9\u7684\u6d41\u8ba1\u7b97\uff0c\u8fd8\u662f\u4e0a\u9762\u7edf\u4e00\u7684\u6570\u636e\u5904\u7406\u6a21\u578b\uff0c\u6211\u4eec\u90fd\u53ef\u4ee5\u5c06\u6d41(\u6279)\u6570\u636e\u5904\u7406\u7684\u8fc7\u7a0b\u62bd\u8c61\u4e3a\u300c\u8bfb\u53d6\u6570\u636e-\u5904\u7406\u6570\u636e-\u8f93\u51fa\u6570\u636e\u300d\u8fd9\u6837\u7684\u4e09\u4e2a\u90e8\u5206\uff0c\u53ef\u7528\u4e0b\u9762\u7684\u6709\u5411\u65e0\u73af\u56fe\u6765\u8868\u8fbe\uff0c\u5176\u4e2d\u70b9\u4ee3\u8868\u6570\u636e\u52a0\u5de5\u903b\u8f91\uff0c\u8fb9\u8868\u793a\u6570\u636e\u6d41\u5411\uff0c\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u4e2d\u7684\u4e2d\u95f4\u72b6\u6001(State)\u4e00\u822c\u9700\u8981\u505a\u6301\u4e45\u5316\u5b58\u50a8\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<h3>2.\u786e\u5b9a\u6027\/\u975e\u786e\u5b9a\u6027\u8ba1\u7b97<\/h3>\n<p>\u6d41\u8ba1\u7b97\u4e2d\u7684\u786e\u5b9a\u6027\u6307\u7684\u662f\uff0c\u7ed9\u5b9a\u76f8\u540c\u7684\u4e00\u7ec4\u6570\u636e\uff0c\u91cd\u590d\u8fd0\u884c\u591a\u6b21\u6216\u8005\u6253\u4e71\u6570\u636e\u8fdb\u5165\u5f15\u64ce\u7684\u987a\u5e8f\uff0c\u8ba1\u7b97\u5b8c\u6210\u540e\u5c06\u4f1a\u8f93\u51fa\u76f8\u540c\u7684\u7ed3\u679c\uff0c\u5426\u5219\u5c31\u662f\u975e\u786e\u5b9a\u6027\u8ba1\u7b97\u3002\u5e38\u89c1\u7684\u975e\u786e\u5b9a\u6027\u8ba1\u7b97\u5305\u62ec\u4f7f\u7528\u4e86\u968f\u673a\u6570\u3001\u4f7f\u7528\u7cfb\u7edf\u65f6\u95f4\u3001\u5b57\u7b26\u4e32\u62fc\u63a5\u7b49\u3002\u5982\u679c\u6d41\u8ba1\u7b97\u4e2d\u5b58\u5728\u975e\u786e\u5b9a\u6027\u7684\u8ba1\u7b97\uff0c\u5219\u4f1a\u7ed9\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u7684\u5b9e\u73b0\u9020\u6210\u5f88\u591a\u56f0\u96be\uff0c\u90e8\u5206\u5f15\u64ce\u5e76\u4e0d\u80fd\u5f88\u597d\u5730\u652f\u6301\u6b64\u7c7b\u573a\u666f\u3002<\/p>\n<h3>3.\u4e00\u81f4\u6027\u95ee\u9898\u7684\u5f62\u5f0f\u5316\u5b9a\u4e49<\/h3>\n<p>\u5728\u5b58\u5728\u4e0d\u786e\u5b9a\u6027\u8ba1\u7b97\u7684\u6d41\u8ba1\u7b97\u4e2d\uff0c\u4e0d\u786e\u5b9a\u6027\u8ba1\u7b97\u7684(\u4e2d\u95f4)\u7ed3\u679c\u53ef\u89c6\u4e3a\u6d41\u8ba1\u7b97\u5f15\u64ce\u72b6\u6001\u7684\u4e00\u90e8\u5206\u3002\u4ece\u6574\u4f53\u4e0a\u770b\uff0c\u4efb\u4f55\u4e00\u4e2a\u65f6\u95f4\u70b9\u7684\u5f15\u64ce\u72b6\u6001\u7b49\u4e8e\u4e4b\u524d\u6240\u6709\u4e8b\u4ef6\u8ba1\u7b97\u7ed3\u679c(\u4e2d\u95f4\u7ed3\u679c\u548c\u8f93\u51fa\u7ed3\u679c)\u7684\u7d2f\u8ba1\u3002\u5982\u679c\u5b9a\u4e49\u6d41\u8ba1\u7b97\u7684\u8f93\u5165\u96c6\u5408\u4e3a\uff1aE\uff0ct \u65f6\u523b\u4ee5\u6765\u7684\u8f93\u5165\u96c6\u5408\u4e3a E(t)\uff0c\u8f93\u51fa\u96c6\u5408\u4e3a Sink(t)\uff0c\u5f15\u64ce\u6b64\u65f6\u72b6\u6001\u4e3a State(t)\uff0cState(t) \u5305\u62ec\u5404\u4e2a\u7b97\u5b50\u7684\u72b6\u6001(\u5305\u62ec\u4e0a\u9762\u63d0\u5230\u7684\u4e0d\u786e\u5b9a\u6027\u8ba1\u7b97)\u3001\u6570\u636e\u6e90\u7684\u6d88\u8d39\u504f\u79fb\u91cf(\u6216\u6587\u4ef6\u8bfb\u53d6\u504f\u79fb\u7b49)\u7b49\uff1a<\/p>\n<\/p>\n<pre>State(t) = OperatorState(t) + SourceState(t)<\/pre>\n<\/p>\n<p>\u5219\u5b9a\u4e49\u6d41\u8ba1\u7b97\u5f15\u64ce\u7684\u8ba1\u7b97\u8fc7\u7a0b\u4e3a\uff0c\u5b58\u5728\u8ba1\u7b97\u8ba1\u7b97\u903b\u8f91 F \u4f7f\u5f97\uff1a<\/p>\n<\/p>\n<pre>F(E(t), Sink(t), State(t)) = Sink(t+1) + State(t)<\/pre>\n<\/p>\n<p>\u4ee4 O(t) = Sink(t) + State(t)\uff0c\u5373\u5c06\u8ba1\u7b97\u5bf9\u5f15\u64ce\u72b6\u6001\u7684\u66f4\u65b0\u89c6\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u8f93\u51fa\uff0c\u5219\u6d41\u8ba1\u7b97\u8fc7\u7a0b\u53ef\u7b80\u5316\u4e3a\uff1a<\/p>\n<\/p>\n<pre>F(E(t), O(t)) = O(t+1)<\/pre>\n<\/p>\n<p>\u7ed3\u5408\u6d41\u8ba1\u7b97\u4e0a\u9762\u6d41\u8ba1\u7b97\u4e00\u81f4\u6027\u7684\u5b9a\u4e49\uff0c\u6211\u4eec\u5e0c\u671b\u5728\u5f15\u64ce\u53d1\u751f\u6545\u969c FailOver \u65f6\uff0c\u5b58\u5728\u4e00\u79cd\u6062\u590d\u51fd\u6570 R \u4f7f\u5f97<\/p>\n<\/p>\n<pre>R(E(t), O(t)) = O'(t+1)\uff0c\u4e14 O'(t+1) = O(t+1)<\/pre>\n<\/p>\n<p>\u6211\u4eec\u5728\u8fd9\u91cc\u5c06\u5f15\u64ce\u72b6\u6001\u4f5c\u4e3a\u4e00\u79cd\u7279\u6b8a\u8f93\u51fa\u7684\u8003\u8651\u6709\u4e24\u70b9\u3002\u5176\u4e00\uff0c\u5f15\u64ce\u7684\u72b6\u6001\u4e00\u822c\u4e5f\u662f\u8f93\u51fa\u5230\u5916\u90e8\u5b58\u50a8\u5982 RocksDB\/HDFS\uff0c\u8fd9\u548c\u8ba1\u7b97\u4e0b\u6e38\u7684\u8f93\u51fa\u522b\u65e0\u4e8c\u81f4\u3002\u5176\u4e8c\uff0c\u901a\u8fc7\u5c4f\u853d\u5f15\u64ce\u5185\u90e8\u7684\u5bb9\u9519\u673a\u5236\u5b9e\u73b0\uff0c\u7b80\u5316\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u95ee\u9898\u7684\u62bd\u8c61\u8fc7\u7a0b\uff0c\u4fbf\u4e8e\u66f4\u597d\u5730\u7406\u89e3\u95ee\u9898\u672c\u8eab\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<h2>\u4e09\u3001\u4e00\u81f4\u6027\u7684\u901a\u7528\u89e3\u6cd5<\/h2>\n<h3>1.\u901a\u7528\u89e3\u6cd5\u7684\u63a8\u5bfc<\/h3>\n<p>\u6211\u4eec\u5728\u4e0a\u9762\u5b9a\u4e49\u4e86\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u96be\u9898\uff1aR(E(t), O(t)) = O(t+1)\u3002\u4ece\u8f93\u51fa\u7ed3\u679c\u7684\u4f7f\u7528\u65b9(\u5f15\u64ce\u5185\u90e8\u548c\u5f15\u64ce\u4e0b\u6e38\u6570\u636e\u6d88\u8d39\u65b9)\u7684\u89c6\u89d2\u6765\u770b\uff1a\u5bf9\u4e8e\u8bb0\u5f55 O(t+1)\uff0c\u5f53\u5728\u6545\u969c\u53d1\u751f\u7684\u65f6\u95f4\u5c0f\u4e8e t (\u6570\u636e\u6ca1\u6709\u8f93\u51fa)\u6216\u8005 \u5927\u4e8e t + 1(\u6570\u636e\u5df2\u7ecf\u8f93\u51fa\u4e86)\uff0c\u6570\u636e\u80af\u5b9a\u662f\u4e00\u81f4\u7684\u3002<\/p>\n<p>\u5f53\u5728 t ~ t + 1 \u65f6\u523b\u53d1\u751f\u6545\u969c\uff0c\u6062\u590d\u51fd\u6570 R \u53ef\u4ee5\u5c4f\u853d\u6b64\u6b21\u6545\u969c\u4ea7\u751f\u7684\u526f\u4f5c\u7528\uff0c\u8ba9\u4f7f\u7528\u65b9\u8ba4\u4e3a\u6ca1\u6709\u6545\u969c\u53d1\u751f\uff0c\u53ef\u4ee5\u5f97\u5230\u6b63\u786e\u7684 O(t+1)\uff0c\u663e\u7136\uff0c\u89e3\u51b3\u7684\u601d\u8def\u662f\uff1a\u5c06 E(t) \u548c O(t) \u4f5c\u4e3a\u8f93\u5165\uff0c\u91cd\u65b0\u6267\u884c\u8ba1\u7b97 F\uff0c\u5219\u53ef\u4ee5\u5f97\u5230\u6b63\u786e\u7684 O(t+1)\uff0c\u5177\u4f53\u5730\uff0cE(t) \u53ef\u4ee5\u901a\u8fc7\u56de\u62e8\u6570\u636e\u504f\u79fb\u91cf\u5f97\u5230\uff0cO(t) \u9700\u8981\u4ece\u6301\u4e45\u5316\u5b58\u50a8\u4e2d\u83b7\u53d6\u3002O(t) \u662f\u5426\u53ef\u4ee5\u901a\u8fc7\u9012\u5f52\u91cd\u7b97\u5f97\u5230\u5462\uff0c\u5373 O(t) = F(E(t-1), O(t-1)) \uff0c\u7b54\u6848\u662f\u4e0d\u53ef\u4ee5\uff0c\u56e0\u4e3a\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\u53ef\u80fd\u5b58\u5728\u4e0d\u786e\u5b9a\u7684\u8ba1\u7b97\u903b\u8f91\uff0c\u5982\u679c\u91cd\u7b97\uff0c\u5219\u6709\u4e00\u5b9a\u6982\u7387 O(t) \u2260 F(E(t-1), O(t-1)) \u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u6211\u4eec\u5f97\u5230\u6d41\u8ba1\u7b97\u5f15\u64ce\u8981\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u6570\u636e\u5904\u7406\u8bed\u4e49\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\uff1a\u5728\u6d41\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u5b9e\u65f6\u5b58\u50a8\u6bcf\u4e00\u6761\u4e2d\u95f4\u548c\u6700\u7ec8\u8ba1\u7b97\u7ed3\u679c\uff0c\u5982\u679c\u8003\u8651\u541e\u5410\u7387\u4e0d\u80fd\u5b58\u50a8\u6bcf\u4e00\u6761\uff0c\u5219\u9700\u5b9a\u671f\u4ee5\u4e8b\u52a1\u7684\u65b9\u5f0f\u8fdb\u884c\u6279\u91cf\u5b58\u50a8\u3002\u5bf9\u4e8e\u6bcf\u4e00\u4e2a O(t) \u5b58\u50a8\u540e\uff0c \u6062\u590d\u51fd\u6570 R \u7684\u5b9e\u73b0\u5c31\u7b80\u5355\u591a\u4e86\uff1a\u4efb\u52a1\u6062\u590d\u65f6\uff0c\u5c06 O(t) \u91cd\u65b0\u52a0\u8f7d\uff0c\u4f7f\u7528 F \u6267\u884c\u91cd\u7b97\u64cd\u4f5c\u3002<\/p>\n<h3>2.\u901a\u7528\u89e3\u6cd5\u7684\u5de5\u7a0b\u5b9e\u73b0<\/h3>\n<p>\u6211\u4eec\u5c06\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u95ee\u9898\u7684\u89e3\u6cd5\u7ed3\u5408\u5de5\u7a0b\u5b9e\u8df5\uff0c\u5206\u6790\u4e00\u4e0b\u901a\u7528\u89e3\u6cd5\u4e0b\u7684\u82e5\u5e72\u5b9e\u73b0\u573a\u666f\u3002<\/p>\n<p>\u5728\u901a\u7528\u89e3\u6cd5\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u5b58\u50a8\u6bcf\u4e00\u6b21\u8ba1\u7b97\u7684\u4e2d\u95f4\u7ed3\u679c\uff0c\u8fd9\u5bf9\u5f15\u64ce\u7684\u67b6\u6784\u8bbe\u8ba1\u3001\u914d\u5957\u57fa\u5efa\u80fd\u529b\u6709\u7740\u5f88\u9ad8\u7684\u8981\u6c42\uff0c\u5982\u9700\u8981\u9ad8\u53ef\u7528\u3001\u9ad8\u541e\u5410\u7684\u5b58\u50a8\u540e\u7aef\u7528\u4e8e\u72b6\u6001\u5b58\u50a8\u3002\u56e0\u6b64\uff0c\u6211\u4eec\u5c06\u6761\u4ef6\u9000\u5316\u4e3a\u53ef\u4ee5\u901a\u8fc7\u4e8b\u52a1\u7684\u65b9\u5f0f\u8fdb\u884c\u6279\u91cf\u5b58\u50a8\uff0c\u8fd9\u662f\u56e0\u4e3a\u4e8b\u52a1\u7684 ACID \u7279\u6027\u80fd\u4fdd\u8bc1\u7ed3\u679c\u80fd\u4ee5\u539f\u5b50\u63d0\u4ea4\u7684\u65b9\u5f0f\u4f5c\u7528\u4e8e\u4e0b\u6e38\u7b97\u5b50\u6216\u8005\u662f\u5916\u90e8\u7684\u6d88\u606f\u7cfb\u7edf\/\u6570\u636e\u5e93\uff0c\u5728\u4fdd\u8bc1\u4e86\u7ed3\u679c(\u72b6\u6001)\u4e00\u81f4\u6027\u7684\u524d\u63d0\u4e0b\uff0c\u80fd\u8fbe\u5230\u8f83\u9ad8\u7684\u541e\u5410\u7387\u3002<\/p>\n<p>\u8fdb\u4e00\u6b65\u5206\u6790\uff0c\u6bcf\u4e00\u6b21\u5b58\u50a8\u6216\u8005\u6279\u91cf\u4e8b\u52a1\u5b58\u50a8 O(t) \u65f6\uff0c\u5f15\u64ce\u5230\u5e95\u505a\u4e86\u4ec0\u4e48?\u524d\u9762\u6211\u4eec\u5b9a\u4e49\u4e86 O(t) = Sink(t) + State(t) -&gt; O(t) = Sink(t) + OperatorState(t) + SourceState(t) \uff0c\u5bf9\u4e8e\u5f15\u64ce\u6765\u8bf4\uff0c\u5f53\u51fa\u73b0 FailOver \u65f6\uff0c\u90fd\u4f1a\u901a\u8fc7 SourceState(t) \u56de\u62e8\u6570\u636e\u6e90\u504f\u79fb\u91cf\u8fdb\u884c\u90e8\u5206\u91cd\u7b97\uff0c\u5373\u6d88\u606f\u8bfb\u53d6\u8bed\u4e49\u662f At-Least-Once \u7684\uff0c\u5f53\u91cd\u590d\u8ba1\u7b97\u65f6\uff0c\u524d\u9762\u5b58\u50a8\u7684\u7ed3\u679c(\u6bcf\u4e00\u6b21\u8ba1\u7b97)\u6216\u8005\u7a7a\u7684\u7ed3\u679c(\u6279\u91cf\u4e8b\u52a1)\u53ef\u4ee5\u5b9e\u73b0\u5e42\u7b49\u53d8\u66f4\u7684\u6548\u679c\uff1a\u5982\u679c\u7ed3\u679c\u5df2\u7ecf\u5b58\u5728\u4e86\uff0c \u5219\u4f7f\u7528\u5df2\u6709\u7684\u7ed3\u679c\uff0c\u6d88\u9664\u4e0d\u786e\u5b9a\u6027\u8ba1\u7b97\u5e26\u6765\u7684\u526f\u4f5c\u7528\uff0c\u5982\u679c\u4e4b\u524d\u7684\u7ed3\u679c\u4e0d\u5b58\u5728\uff0c\u5c31\u66f4\u4e0d\u4f1a\u5bf9\u5916\u90e8\u7cfb\u7edf\u6709\u5f71\u54cd\u4e86\u3002<\/p>\n<p>\u5982\u679c\u6211\u4eec\u7684\u8ba1\u7b97\u8fc7\u7a0b\u90fd\u662f\u786e\u5b9a\u6027\u7684\uff0c\u90a3\u4e48\u4e0a\u8ff0\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\u4f1a\u6709\u4ec0\u4e48\u53d8\u5316\u5462?\u5728\u786e\u5b9a\u6027\u8ba1\u7b97\u7684\u524d\u63d0\u4e0b\uff0c\u5982\u679c\u5f15\u64ce\u8f93\u51fa\u7ed3\u679c\u7684\u63a5\u53d7\u7aef\u662f\u53ef\u4ee5\u5b9e\u73b0\u4e3a\u5e42\u7b49\uff0c\u5219\u5f88\u591a\u7ea6\u675f\u6761\u4ef6\u4f1a\u6709\u6240\u7b80\u5316\u3002\u7531\u4e8e O(t) = Sink(t) + State(t) \uff0c\u5f15\u64ce\u5185\u90e8\u5f88\u597d\u5b9e\u73b0\u5e42\u7b49\u72b6\u6001\u66f4\u65b0\uff0c\u82e5\u5f15\u64ce\u4e0b\u6e38\u7cfb\u7edf\u4e5f\u5b9e\u73b0\u4e86\u6570\u636e\u5e42\u7b49\uff0c\u5f53\u5728 t ~ t + n \u95f4\u5185\u51fa\u73b0 FailOver \u65f6\uff0c\u5f15\u64ce\u53ef\u4ee5\u901a\u8fc7\u91cd\u65b0\u8ba1\u7b97 t ~ t + n \u4e4b\u95f4\u7684\u6240\u6709\u503c\uff0c\u76f4\u63a5\u8f93\u51fa\u7ed9\u4e0b\u6e38\u4f7f\u7528\u3002<\/p>\n<p>\u56e0\u6b64\uff0c\u5728\u4ec5\u6709\u786e\u5b9a\u6027\u8ba1\u7b97\u7684\u6d41\u8ba1\u7b97\u7cfb\u7edf\u4e2d\uff0c\u5b9e\u73b0\u7aef\u5230\u7aef\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\u53ef\u9000\u5316\u4e3a\uff1a\u5728\u6d41\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u9700\u8981\u5916\u90e8\u7684\u6700\u7ec8\u7ed3\u679c\u63a5\u53d7\u7aef\u5b9e\u73b0\u5e42\u7b49\uff0c\u5b9e\u65f6\u5b58\u50a8\u6bcf\u4e00\u6761\u4e2d\u95f4\u548c\u6700\u7ec8\u8ba1\u7b97\u7ed3\u679c\uff0c\u5982\u679c\u8003\u8651\u541e\u5410\u7387\u4e0d\u80fd\u5b58\u50a8\u6bcf\u4e00\u6761\uff0c\u5219\u9700\u5b9a\u671f\u6279\u91cf\u5b58\u50a8\uff0c\u4e0a\u8ff0\u6761\u4ef6\u4e2d\u53bb\u6389\u4e86\u5bf9\u300c\u4e8b\u52a1\u300d\u7684\u8981\u6c42\u7684\u539f\u56e0\uff1a\u5982\u679c\u5728\u63d0\u4ea4\u8fd9\u4e00\u6279\u6570\u636e\u7684\u63d0\u4ea4\u8fc7\u7a0b\u4e2d\u53c8\u53d1\u751f\u4e86\u5f02\u5e38\uff0c\u8b6c\u5982\u53ea\u6709\u90e8\u5206\u8282\u70b9\u7684\u7ed3\u679c\u8f93\u51fa\u4e86\uff0c\u5176\u4ed6\u8282\u70b9\u53d1\u751f\u4e86\u6545\u969c\u7ed3\u679c\u4e22\u5931\uff0c\u5219\u53ef\u4ee5\u901a\u8fc7\u56de\u5230\u4e0a\u4e2a\u6279\u6b21\u63d0\u4ea4\u7684\u72b6\u6001\uff0c\u91cd\u7b97\u6b64\u6279\u6b21\u6570\u636e\uff0c\u91cd\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u7531\u4e8e\u4ec5\u5b58\u5728\u786e\u5b9a\u6027\u8ba1\u7b97\uff0c\u6240\u4ee5\u65e0\u8bba\u662f\u5f15\u64ce\u5185\u8fd8\u662f\u5f15\u64ce\u5916\uff0c\u662f\u53ef\u4ee5\u901a\u8fc7\u5e42\u7b49\u6765\u4fdd\u8bc1\u6570\u636e\u7684\u7684\u4e00\u81f4\u6027\u7684\u3002<\/p>\n<p>\u5728\u5b9e\u9645\u7684\u6d41\u8ba1\u7b97\u5f15\u64ce\u5b9e\u73b0\u4e2d\uff0c\u5bf9\u4e8e\u7ed3\u679c\u5185\u5bb9\u7684\u5b9a\u4e49\u5927\u90fd\u662f\u4e00\u81f4\u7684\uff0c\u4e3b\u8981\u5305\u62ec\u8f93\u5165\u6e90\u7684\u6d88\u8d39\u504f\u79fb SourceState(t)\uff0ce.g. Kafka Offset\uff0c\u7b97\u5b50\u72b6\u6001 OperatorState(t)\uff0ce.g. Spark RDD \u8840\u7f18\uff0c\u8f93\u51fa\u7684\u7ed3\u679c Sink(t)\uff0ce.g. Kafka \u4e8b\u52a1\u6d88\u606f\uff0c\u4f46\u662f\u5728\u7ed3\u679c\u7684\u5b58\u50a8\u65b9\u5f0f\u4e0a\u5404\u6709\u6240\u4e0d\u540c\uff0c\u4e0b\u9762\u6211\u4eec\u6765\u770b\u4e00\u770b\u76ee\u524d\u4e1a\u754c\u4e3b\u6d41\u7684\u51e0\u4e2a\u6d41\u8ba1\u7b97\u5f15\u64ce\u7684\u8bbe\u8ba1\u8003\u91cf\u3002<\/p>\n<h2>\u56db\u3001\u4e00\u81f4\u6027\u7684\u5f15\u64ce\u5b9e\u73b0<\/h2>\n<p>\u76ee\u524d\u6d41\u8ba1\u7b97\u5f15\u64ce\u7684\u79cd\u7c7b\u975e\u5e38\u591a\uff0c\u4e0d\u662f\u6240\u6709\u7684\u5f15\u64ce\u90fd\u53ef\u4ee5\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\u7684\u6d41\u5904\u7406\uff0c\u5728\u5177\u5907\u6b64\u80fd\u529b\u7684\u5f15\u64ce\u4e2d\uff0c\u4ece\u6280\u672f\u6210\u672c\u3001\u5f15\u64ce\u67b6\u6784\u3001\u80fd\u529b\u8303\u56f4\u8003\u8651\uff0c\u4f1a\u6709\u4e0d\u540c\u7684\u53d6\u820d\u548c\u5b9e\u73b0\uff0c\u5982 Flink \u4e2d\u4f7f\u7528\u4e86\u8f7b\u91cf\u7ea7\u7684\u300c\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167\u300d\u7528\u4e8e\u72b6\u6001\u7ba1\u7406\uff0cKafka Streams \u4e3a\u4f55\u6ca1\u6709\u4f7f\u7528\u5462?\u5b9e\u73b0\u4e86\u5e42\u7b49\u8f93\u51fa\u5c31\u4e00\u5b9a\u80fd\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\u4e48?\u672c\u7ae0\u8282\u4f1a\u4e00\u4e00\u89e3\u7b54\u4e0a\u8ff0\u95ee\u9898\u3002<\/p>\n<h3>1.Google MillWheel<\/h3>\n<p>Google\u57282013\u5e74\u53d1\u4e86\u4e00\u7bc7\u540d\u4e3a\u300aMillWheel: Fault-Tolerant Stream Processing at. Internet Scale\u300b\u7684\u6587\u7ae0\uff0c\u8bba\u8ff0\u4e86\u5728 Google \u5185\u90e8\u5b9e\u73b0\u4f4e\u5ef6\u8fdf\u6570\u636e\u5904\u7406\u7684\u7f16\u7a0b\u6a21\u578b\u548c\u5de5\u7a0b\u5b9e\u73b0\uff0c\u540e\u9762 Google \u5728\u6b64\u57fa\u7840\u4e0a\u62bd\u8c61\u51fa\u4e86 DataFlow \u6d41\u5904\u7406\u6a21\u578b(\u5177\u4f53\u53c2\u8003\u8bba\u6587\u300aThe Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale,Unbounded, Out-of-Order Data Processing\u300b)\uff0c\u540e\u8005\u5bf9\u6d41\u8ba1\u7b97\u6d41\u57df\u7684\u5f71\u54cd\u582a\u6bd420\u4e16\u7eaa\u521d GFS\uff0cBigTable \u4ee5\u53caMapReduce \u4e09\u7bc7\u8bba\u6587\u5bf9\u5927\u6570\u636e\u7684\u5f71\u54cd\uff0c\u540e\u9762 Google \u53c8\u5728 MillWheel \u4e4b\u4e0a\u7ee7\u7eed\u53d1\u5c55\uff0c\u5f00\u6e90\u4e86 Apache Bean \u8fd9\u4e2a\u7cfb\u7edf\u7ea7\u7684\u6d41\u6279\u4e00\u4f53\u6570\u636e\u89e3\u51b3\u65b9\u6848\uff0c\u56e0\u4e3a MillWheel \u662f\u66f4\u7eaf\u7cb9\u7684\u300c\u6d41\u8ba1\u7b97\u300d\uff0c\u6240\u4ee5\u6211\u4eec\u91cd\u70b9\u6765\u5206\u6790 MillWheel\u3002<\/p>\n<p>MillWheel \u4f7f\u7528\u4e86\u4e00\u79cd\u540d\u4e3a\u300cStrong production\u300d\u7684\u673a\u5236\u5c06\u6bcf\u4e2a\u7b97\u5b50\u7684\u8f93\u51fa\u5728\u53d1\u9001\u81f3\u4e0b\u6e38\u4e4b\u524d\u90fd\u8fdb\u884c\u4e86\u6301\u4e45\u5316\u5b58\u50a8\uff0c\u4e00\u65e6\u53d1\u751f\u4e86\u6545\u969c\uff0c\u5f53\u9700\u8981\u6062\u590d\u65f6\uff0c\u5f15\u64ce\u53ef\u4ee5\u76f4\u63a5\u5c06\u5b58\u50a8\u540e\u7684\u7ed3\u679c\u53d1\u51fa\u53bb\u3002\u56de\u5934\u518d\u770b\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u6570\u636e\u5904\u7406\u8bed\u4e49\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\uff0c\u663e\u7136 MillWheel \u662f\u7b26\u5408\u300c\u5b9e\u65f6\u5b58\u50a8\u6bcf\u4e00\u6761\u4e2d\u95f4\u548c\u6700\u7ec8\u8ba1\u7b97\u7ed3\u679c\u300d\u8fd9\u4e2a\u6761\u4ef6\u7684\u3002\u5bf9\u4e8e\u5b58\u5728\u4e0d\u786e\u5b9a\u6027\u8ba1\u7b97\u7684\u6d41\u8ba1\u7b97\u573a\u666f\uff0c\u5f53 FailOver \u65f6\uff0c\u5f15\u64ce\u4f1a\u4ece\u6e90\u5934\u91cd\u65b0\u53d1\u9001\u6d88\u606f\u8fdb\u884c\u91cd\u7b97\uff0c\u591a\u6b21\u8ba1\u7b97\u53ef\u80fd\u4f1a\u4ea7\u751f\u7684\u4e0d\u4e00\u81f4\u7684\u7ed3\u679c\uff0c\u4f46\u7531\u4e8e\u300cStrong Production\u300d\u4f1a\u5bf9\u8ba1\u7b97\u8fdb\u884c\u53bb\u91cd\uff0c\u56e0\u6b64\u5373\u4fbf\u8fdb\u884c\u4e86\u591a\u6b21\u91cd\u7b97\uff0c\u4f46\u6709\u4e14\u4ec5\u6709\u4e00\u6b21\u91cd\u7b97\u7684\u7ed3\u679c\u88ab\u8f93\u51fa\u7ed9\u4e0b\u6e38(\u4e0b\u6e38\u7b97\u5b50\u6216\u7ed3\u679c\u63a5\u53d7\u7aef)\uff0c\u4ece\u6574\u4f53\u4e0a\u6765\u770b\u6570\u636e\u662f\u6ee1\u8db3\u4e00\u81f4\u6027\u7684\uff0c\u8fd9\u4e5f\u88ab\u79f0\u4e4b\u4e3a\u300cEffective Determinism\u300d\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<p>MillWheel \u4f1a\u5bf9\u6bcf\u4e00\u6761\u8bb0\u5f55\u8d4b\u4e88\u4e00\u4e2a\u552f\u4e00 ID\uff0c\u540c\u65f6\u57fa\u4e8e\u6b64 ID \u7ef4\u62a4\u4e00\u4efd\u662f\u5426\u5904\u7406\u8fc7\u5f53\u524d\u8bb0\u5f55\u7684\u76ee\u5f55\u3002\u5bf9\u4e8e\u6bcf\u4e00\u6761\u6d41\u5165\u5f53\u524d\u7b97\u5b50\u7684\u8bb0\u5f55\uff0c\u5f15\u64ce\u67e5\u627e\u6b64 ID \u76ee\u5f55\u4ee5\u786e\u5b9a\u6b64\u8bb0\u5f55\u662f\u5426\u662f\u5df2\u7ecf\u5904\u7406\u8fc7\u3002\u8fd9\u91cc\u4f1a\u6709\u5f88\u591a\u6280\u672f\u4e0a\u7684\u6311\u6218\uff0c\u8fd9\u91cc\u7a0d\u5fae\u4e3e\u51e0\u4e2a\u4f8b\u5b50\u3002<\/p>\n<p>\u8b6c\u5982\uff0c\u9700\u8981\u6709\u7a33\u5b9a\u4e14\u9ad8\u541e\u5410\u7684\u5b58\u50a8\u540e\u7aef\u7528\u4e8e\u7ed3\u679c\u5b58\u50a8\uff0cGoogle \u5185\u90e8\u7684 BigTable \u53d1\u6325\u4e86\u5176\u4f5c\u7528\u3002\u6d41\u4efb\u52a1\u6267\u884c\u524d\u540e\uff0c\u5f15\u64ce\u4f1a\u5bf9\u6267\u884c\u6d41\u505a\u82e5\u5e72\u4f18\u5316\uff0c\u5982\u5408\u5e76\u591a\u4e2a\u903b\u8f91\u7b97\u5b50\u81f3\u5355\u4e2a\u7b97\u5b50(\u7c7b\u4f3c Flink \u4e2d\u7684 chain \u5316)\u3001\u8282\u70b9\u5185\u5148\u6267\u884c\u90e8\u5206\u5408\u5e76(count \/ sum)\u540e\u518d shuffle\u7b49\u7b49\uff0c\u79cd\u79cd\u624b\u6bb5\u5747\u662f\u4e3a\u4e86\u964d\u4f4e\u7b97\u5b50\u95f4 IO \u7684\u6570\u636e\u89c4\u6a21\u3002<\/p>\n<p>\u6b64\u5916\uff0c\u5728\u5224\u65ad\u300c\u5f53\u524d\u8bb0\u5f55\u300d\u662f\u5426\u5df2\u88ab\u5904\u7406\u65f6\uff0cMillWheel \u4f7f\u7528\u4e86\u5e03\u9686\u8fc7\u6ee4\u5668\u7528\u4e8e\u524d\u7f6e\u8fc7\u6ee4\uff0c\u56e0\u4e3a\u5728\u4e00\u4e2a\u6b63\u5e38\u8fd0\u884c\u7684\u6d41\u8ba1\u7b97\u4efb\u52a1\u4e2d\uff0c\u8bb0\u5f55\u7edd\u5927\u591a\u6570\u7684\u65f6\u95f4\u90fd\u662f\u4e0d\u91cd\u590d\u7684\uff0c\u8fd9\u521a\u597d\u5951\u5408\u5e03\u9686\u8fc7\u6ee4\u5668\u7684\u4f7f\u7528\u573a\u666f(\u5982\u8fc7\u6ee4\u5668\u8fd4\u56de\u4e0d\u5b58\u5728\u5219\u8bb0\u5f55\u4e00\u5b9a\u4e0d\u5b58\u5728)\uff0c\u5f15\u64ce\u4e2d\u7684\u6bcf\u4e2a\u8282\u70b9\u90fd\u7ef4\u62a4\u4e86\u4ee5\u8bb0\u5f55 ID \u4e3a\u4e3b\u952e\u7684\u5e03\u9686\u8fc7\u6ee4\u5668\uff0c\u8ba1\u7b97\u524d\u90fd\u4f1a\u901a\u8fc7\u6b64\u8fc7\u6ee4\u5668\u8fdb\u884c\u5224\u65ad\uff0c\u82e5\u63d0\u793a\u4e0d\u5b58\u5728\u5219\u8fdb\u884c\u6570\u636e\u5904\u7406\uff0c\u5982\u679c\u5b58\u5728\uff0c\u5219\u9700\u8981\u4e8c\u6b21\u6821\u9a8c\u3002\u5f53\u7136\uff0cMillWheel \u5728\u5b9e\u9645\u4f7f\u7528\u5e03\u9686\u8fc7\u6ee4\u5668\uff0c\u662f\u505a\u4e86\u82e5\u5e72\u6539\u9020\u7684\uff0c\u8fd9\u91cc\u5c31\u4e0d\u5177\u4f53\u5c55\u5f00\u4e86\u3002<\/p>\n<h3>2.Apache Flink<\/h3>\n<p>MillWheel \u4f5c\u4e3a\u4e00\u4e2a\u5185\u90e8\u7cfb\u7edf\u53ef\u4ee5\u5b58\u50a8\u6bcf\u4e00\u4e2a\u4e2d\u95f4\u7ed3\u679c\uff0c\u4f46\u662f\u5bf9\u4e8e\u5f00\u6e90\u7cfb\u7edf\u7684 Apache Flink \u6765\u8bf4\uff0c\u6bd5\u7adf\u4e0d\u662f\u6bcf\u4e00\u4e2a\u516c\u53f8\u90fd\u6709\u8fd9\u4e48\u5b8c\u5907\u7684\u6280\u672f\u57fa\u5efa\u3002Flink \u4f1a\u5b9a\u671f\u628a\u7ed3\u679c\u4ee5\u4e8b\u52a1\u7684\u65b9\u5f0f\u8fdb\u884c\u6279\u91cf\u5b58\u50a8\uff0c\u8fd9\u91cc\u7684\u300c\u7ed3\u679c\u300d\u5982\u4e0a\u9762\u5206\u6790\uff0c\u7531\u6e90\u72b6\u6001 SourceState(t)\u3001\u7b97\u5b50\u72b6\u6001 OperatorState(t) \u3001\u8f93\u51fa\u7684\u7ed3\u679c Sink(t) \u7ec4\u6210\uff0c\u5176\u4e2d Flink \u628a\u6e90\u72b6\u6001\u548c\u7b97\u5b50\u72b6\u6001\u8fdb\u884c\u4e86\u6253\u5305\uff0c\u7edf\u79f0\u4e3a\u300c\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167\u300d(\u57fa\u4e8e Chandy-Lamport \u5206\u5e03\u5f0f\u5feb\u7167\u7b97\u6cd5\u6765\u5b9e\u73b0)\uff0c\u6570\u636e\u4f1a\u6301\u4e45\u5316\u5728 RocksDB \u4e2d\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<p>\u5982\u4e0a\u56fe\u6240\u793a\uff0cFlink \u5f15\u64ce\u4f1a\u5b9a\u65f6(\u6bcf\u4e2a\u5468\u671f\u79f0\u4e4b\u4e3a\u4e00\u4e2a epoch)\u4ee5 2PC \u7684\u65b9\u5f0f\u63d0\u4ea4\u7ed3\u679c\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5373\u4fbf\u4e0d\u8003\u8651\u7ed3\u679c\u8f93\u51fa\uff0cFlink \u300c\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167\u300d\u7684\u5feb\u7167\u7684\u5b9e\u73b0\u4e5f\u662f\u4e00\u4e2a 2PC \u7684\u8fc7\u7a0b\uff1a\u7b97\u5b50\u7684\u72b6\u6001\u5feb\u7167\u5b58\u50a8\u7c7b\u4f3c\u4e8e 2PC \u7684 Prepare \u9636\u6bb5\uff0c\u4f46 Commit \u7684\u786e\u8ba4\u4ec5\u9700 Coordinator( Flink JobManager) \u6839\u636e\u300c\u662f\u5426\u6536\u5230\u4e86\u5b8c\u6574\u7b97\u5b50\u7684 ACK \u300d\u6765\u63a8\u51fa\u662f\u5426 Commit \u6216 Abort\u3002\u5c06\u7ed3\u679c\u8f93\u51fa\u7eb3\u5165\u5feb\u7167\u751f\u6210\u7684 2PC \u540e\uff0c\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u6570\u636e\u5904\u7406\u8bed\u4e49\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\u5728\u8fd9\u91cc\u4e5f\u5f97\u5230\u4e86\u6ee1\u8db3\uff1a\u5728\u6d41\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\uff0c\u5b9a\u671f(epoch)\u4ee5\u4e8b\u52a1(2PC)\u7684\u65b9\u5f0f\u8fdb\u884c\u6279\u91cf\u5b58\u50a8\u7ed3\u679c(\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167 + \u5199\u5916\u90e8\u5b58\u50a8)\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u7531\u4e8e Flink \u4f1a\u4ee5 epoch \u4e3a\u5468\u671f\u8f93\u51fa\u7ed3\u679c\uff0c\u56e0\u6b64\u57fa\u4e8e\u6b64\u6784\u5efa\u7684\u6d41\u5904\u7406\u7cfb\u7edf\u4f1a\u5b58\u5728\u4e00\u5b9a\u7684\u7aef\u5230\u7aef\u5ef6\u8fdf\u3002<\/p>\n<h3>3.Apache Kafka Streams<\/h3>\n<p>Kafka Streams \u662f Apache Kafka 0.10.0\u7248\u672c\u4e2d\u5305\u542b\u7684\u4e00\u4e2aJava\u5e93\uff0c\u4e25\u683c\u6765\u8bb2\u5e76\u4e0d\u7b97\u4e00\u4e2a\u5b8c\u6574\u7684\u6d41\u5904\u7406\u5f15\u64ce\uff0c\u5229\u7528\u8fd9\u4e2a\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u57fa\u4e8e Kafka \u6784\u5efa\u6709\u72b6\u6001\u7684\u5b9e\u65f6\u6570\u636e\u5904\u7406\u5e94\u7528\uff0c\u66f4\u8fdb\u4e00\u6b65\u5730\uff0cKafka Streams \u9700\u8981\u6570\u636e\u8f93\u5165\u6e90\u548c\u8f93\u51fa\u5747\u4e3a Kafka \u6d88\u606f\u961f\u5217\u3002<\/p>\n<p>Kafka Streams \u4e2d\u7684\u300c\u7ed3\u679c\u300d\u4e5f\u4ee5\u4e8b\u52a1\u7684\u65b9\u5f0f\u6279\u91cf\u6301\u4e45\u5316\uff0c\u4f46\u548c Flink \u4e0d\u540c\u7684\u662f\uff0c\u8fd9\u4e9b\u7ed3\u679c\u662f\u88ab\u5199\u5165\u4e0d\u540c\u7684\u6d88\u606f\u961f\u5217\u4e2d\uff1a<\/p>\n<ul>\n<li>\u6e90\u72b6\u6001 SourceState(t)\uff1a\u5373 Kafka \u6e90\u4e2d\u7684 Offset \u4fe1\u606f\uff0c\u4f1a\u88ab\u5199\u5165\u4e00\u4e2a\u5355\u72ec\u7684 Kafaka \u961f\u5217\u4e2d\uff0c\u8be5\u961f\u5217\u5bf9\u7528\u6237\u900f\u660e;<\/li>\n<li>\u7b97\u5b50\u72b6\u6001 OperatorState(t) \uff1a\u8ba1\u7b97\u4e2d\u7b97\u5b50\u7684 Changelog\uff0c\u4e5f\u4f1a\u5199\u5165\u5355\u72ec\u7684 Kafaka \u961f\u5217\u4e2d\uff0c\u8be5\u961f\u5217\u5bf9\u7528\u6237\u900f\u660e;<\/li>\n<li>\u8f93\u51fa\u7ed3\u679c Sink(t) \uff1a\u5373\u7528\u6237\u914d\u7f6e\u7684\u5b9e\u9645\u7684\u8f93\u51fa\u961f\u5217\uff0c\u7528\u4e8e\u5b58\u653e\u8ba1\u7b97\u7ed3\u679c\u3002<\/li>\n<\/ul>\n<p>Kafka Streams \u5c06\u4e0a\u8ff0\u7ed3\u679c\u5b9a\u671f\u4ee5\u4e8b\u52a1\u7684\u65b9\u5f0f\u8fdb\u884c\u6279\u91cf\u5b58\u50a8\uff0c\u4e0a\u8ff0\u4e8b\u52a1\u5728 Kafka \u8fd9\u88ab\u79f0\u4e4b\u4e3a Transactions API\uff0c\u4f7f\u7528\u8fd9\u4e2a API \u6784\u5efa\u7684\u6d41\u5904\u7406\u5e94\u7528\uff0c\u53ef\u4ee5\u5728\u4e00\u4e2a\u4e8b\u52a1\u4e2d\u5c06\u591a\u4e2a\u4e3b\u9898\u6d88\u606f\u8fdb\u884c\u540c\u65f6\u63d0\u4ea4\uff0c\u5982\u679c\u4e8b\u52a1\u7ec8\u6b62\u6216\u56de\u6eda\uff0c\u5219\u4e0b\u6e38\u6d88\u8d39\u4e0d\u4f1a\u8bfb\u53d6\u5230\u76f8\u5e94\u7684\u7ed3\u679c(\u5f53\u7136\u4e0b\u6e38\u6d88\u8d39\u8005\u4e5f\u9700\u8981\u914d\u7f6e\u76f8\u5e94\u7684\u4e00\u81f4\u6027\u7ea7\u522b)\uff0c\u5176\u8fc7\u7a0b\u5982\u4e0b\u56fe\u6240\u793a\uff1a<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<p>\u5982\u679c\u7a0d\u5fae\u56de\u987e\u4e00\u4e0b Flink \u4e00\u81f4\u6027\u7684\u5b9e\u73b0\u903b\u8f91\uff0c\u4f1a\u53d1\u73b0\u8fd9\u4e24\u8005\u6709\u5f88\u591a\u76f8\u4f3c\u70b9\uff0c\u56e0\u6b64 Kafka Streams \u7684\u8f93\u51fa\u7ed3\u679c\u4e5f\u4f1a\u5b58\u5728\u4e00\u5b9a\u7684\u7aef\u5230\u7aef\u5ef6\u8fdf\u3002\u56e0\u4e3a\u5728\u63d0\u4ea4\u7ed3\u679c\u65f6\u521b\u5efa\u4e86\u65b0\u7684\u4e8b\u52a1\uff0c\u6240\u4ee5\u5e73\u5747\u4e8b\u52a1\u5927\u5c0f\u7531\u63d0\u4ea4\u95f4\u9694\u786e\u5b9a\uff0c\u5f53\u6d41\u91cf\u76f8\u540c\u65f6\uff0c\u8f83\u77ed\u7684\u63d0\u4ea4\u95f4\u9694\u5c06\u5bfc\u81f4\u8f83\u5c0f\u7684\u4e8b\u52a1\uff0c\u4f46\u592a\u5c0f\u7684\u95f4\u9694\u5c06\u5bfc\u81f4\u541e\u5410\u4e0b\u964d\uff0c\u56e0\u6b64\u541e\u5410\u91cf\u4e0e\u7aef\u5230\u7aef\u5904\u7406\u5ef6\u8fdf\u4e4b\u95f4\u9700\u8981\u6709\u4e00\u4e2a\u6298\u8877\u3002<\/p>\n<p>\u540c\u65f6\uff0c\u6211\u4eec\u9700\u8981\u6ce8\u610f\u5230\u7684\u662f\uff0cFlink \u548c Kafaka \u4e2d\u7684\u300c\u4e8b\u52a1\u300d\u63d0\u4ea4\uff0c\u548c\u6211\u4eec\u5e38\u89c4\u7684\u64cd\u4f5c\u5173\u7cfb\u578b\u6570\u636e\u5e93\u4e2d\u7684\u4e8b\u52a1\u8fd8\u662f\u6709\u6240\u4e0d\u540c\u7684\uff0c\u540e\u8005\u7684\u4e8b\u52a1\u63d0\u4ea4\u5bf9\u8c61\u4e00\u822c\u5c31\u4e00\u4e2a(e.g. MySQL Server)\uff0c\u4f46\u5728\u6d41\u8ba1\u7b97\u4e2d\uff0c\u7531\u4e8e\u7ed3\u679c\u6709\u4e0b\u6e38\u8f93\u51fa\u3001\u6d88\u8d39\u8fdb\u5ea6\u3001\u7b97\u5b50\u72b6\u6001\u7b49\uff0c\u56e0\u6b64\u6d41\u8ba1\u7b97\u5f15\u64ce\u9700\u8981\u8bbe\u8ba1\u4e00\u4e2a\u5168\u5c40\u7684\u4e8b\u52a1\u534f\u8bae\u7528\u4e8e\u548c\u4e0b\u6e38\u5f85\u63d0\u4ea4\u7684\u5404\u4e2a\u5b58\u50a8\u540e\u7aef\u8fdb\u884c\u4ea4\u4e92\u3002\u4e3e\u4f8b\uff1aKafka Streams \u7684\u8f93\u51fa\u540e\u7aef\u9700\u8981\u662f Kafka\uff0c\u4ee5\u914d\u5408\u5728\u4e8b\u52a1\u63d0\u4ea4\u8fc7\u7a0b\u4e2d\uff0c\u5c4f\u853d\u90e8\u5206\u5df2\u8f93\u51fa\u81f3\u4e0b\u6e38(\u88ab Kafka Broker \u6301\u4e45\u5316)\uff0c\u4f46\u8fd8\u4e0d\u6ee1\u8db3\u4e8b\u52a1\u9694\u79bb\u6027\u7684\u6d88\u606f(read_committed \u7ea7\u522b)\uff0c\u4ece\u6d41\u8ba1\u7b97\u8f93\u51fa\u7684\u89d2\u5ea6\u6765\u770b\uff0c\u8fd9\u4e9b\u6d88\u606f\u5df2\u88ab\u6210\u529f\u5904\u7406\u540c\u65f6\u8f93\u51fa\u81f3\u4e0b\u6e38\uff0c\u4f46\u4ece\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u6027\u6765\u770b\uff0c\u5b83\u4eec\u4f9d\u7136\u5c5e\u4e8e\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u3002\u53c8\u5982\uff0c\u4f7f\u7528 Flink \u5904\u7406 CDC(Change Data Capture) \u7684\u573a\u666f\uff0c\u5982\u679c\u4e0b\u6e38\u662f MySQL\uff0c\u5728 Flink 2PC \u5b8c\u6210\u4e4b\u524d\uff0c\u6765\u81ea\u4e0d\u540c Flink \u8282\u70b9\u7684\u6570\u636e\u8f93\u51fa\u540e\u5176\u5b9e\u5df2\u7ecf\u88ab commit\uff0c\u7c7b\u4f3c Kafka Broker \u4e2d\u7684\u6d88\u606f\u65e0\u6cd5\u64a4\u56de\uff0cMySQL \u63d0\u4ea4\u7684\u4e8b\u52a1\u4e5f\u65e0\u6cd5\u56de\u6eda\uff0c\u56e0\u6b64\u8f93\u51fa\u6570\u636e\u4e2d\u4e5f\u9700\u8981\u6709\u7c7b\u4f3c\u7684\u5b57\u6bb5\u5b9e\u73b0\u9694\u79bb(isolation)\u8bed\u4e49\uff0c\u4ee5\u5c4f\u853d\u8fd9\u79cd\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u3002<\/p>\n<h3>4.Apache Spark Streaming<\/h3>\n<p>\u8fd9\u91cc\u63d0\u5230\u7684 Spark Streaming \u6307\u7684\u662f\u539f\u59cb\u7684\u57fa\u4e8e\u300cMicro-batch\uff0c\u5fae\u6279\u300d\u7684 Spark \u6d41\u5904\u7406\u5f15\u64ce\uff0c\u540e\u9762 Spark \u53c8\u63d0\u51fa\u4e86Structured Streaming\uff0c\u4f7f\u7528 Continuous Processing mode \u6765\u66ff\u4ee3\u300c\u5fae\u6279\u300d\u89e3\u51b3\u5ef6\u8fdf\u7684\u95ee\u9898\uff0c\u5bb9\u9519\u673a\u5236\u4e0a\u548c Flink \u4e00\u6837\u4e5f\u4f7f\u7528\u4e86Chandy-Lamport \u7b97\u6cd5\uff0cStructured Stream \u76ee\u524d\u8fd8\u4e0d\u6210\u719f\uff0c\u6682\u65f6\u8fd8\u4e0d\u80fd\u5b8c\u5168\u652f\u6301 Exactly-Once-Processing\uff0c\u56e0\u6b64\u8fd9\u91cc\u7740\u91cd\u5bf9\u6bd4 Spark Streaming\u3002<\/p>\n<p>Spark Streaming \u53ea\u80fd\u4fdd\u8bc1\u5f15\u64ce\u5185\u90e8\u7684\u5904\u7406\u903b\u8f91\u662f\u4e00\u81f4\u7684\uff0c\u4f46\u662f\u5bf9\u4e8e\u7ed3\u679c\u8f93\u51fa\uff0c\u5219\u5e76\u6ca1\u6709\u505a\u7279\u522b\u7684\u62bd\u8c61\uff0c\u56e0\u6b64\u5982\u679c\u6211\u4eec\u5e0c\u671b\u5b9e\u73b0\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u6027\u8bed\u4e49\uff0c\u5219\u9700\u8981\u5bf9\u81ea\u884c\u7ef4\u62a4\u548c\u5224\u65ad\u4e00\u4e9b\u4fe1\u606f\u3002\u540c\u4f20\u7edf\u7684\u6279\u5904\u7406\u7cfb\u7edf\u7c7b\u4f3c\uff0c\u6d41\u5904\u7406\u4e2d\u4e5f\u662f\u4ee5 RDD \u6784\u5efa\u51fa\u6574\u4e2a\u7684\u6570\u636e\u8840\u7f18\uff0c\u5f53\u53d1\u751f FailOver \u65f6\uff0c\u5219\u91cd\u65b0\u8ba1\u7b97\u6574\u4e2a RDD \u5c31\u53ef\u4ee5\u4e86\u3002\u5982\u679c Spark Streaming \u5b58\u5728\u975e\u786e\u5b9a\u6027\u7684\u8ba1\u7b97\uff0c\u5219\u4e0d\u80fd\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\uff0c\u539f\u56e0\u662f\uff1a1\u3001\u4e0d\u6ee1\u8db3\u6761\u4ef6\u4e00\u300c\u5b9e\u65f6\u5b58\u50a8\u6bcf\u4e00\u6761\u7ed3\u679c\u300d\u3002\u5982\u679c\u80fd\u8bb0\u5f55\u4e0b\u6bcf\u4e2a RDD \u5206\u533a\u4e0b\u7684\u6267\u884c\u60c5\u51b5\uff0c\u907f\u514d\u91cd\u590d\u6267\u884c(\u5e42\u7b49)\uff0c\u4e5f\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u80fd\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\uff0c\u4f46\u8fd9\u9700\u8981\u8fdb\u884c\u5927\u91cf\u7684\u6539\u9020\u5de5\u4f5c\uff0c\u6700\u7ec8\u5f62\u6001\u4f1a\u548c MillWheel \u6bd4\u8f83\u7c7b\u4f3c;2\u3001\u4e0d\u6ee1\u8db3\u6761\u4ef6\u4e8c\u300c\u4e8b\u52a1\u65b9\u5f0f\u5b58\u50a8\u300d\uff0c\u9700\u8981\u4fdd\u8bc1\u6bcf\u4e2a RDD \u4ea7\u51fa\u73af\u8282\u7684\u4e8b\u52a1\u6027(\u5982\u6700\u7ec8\u7ed3\u679c\u5199 HDFS \u5c31\u4e0d\u662f\u539f\u5b50\u7684)\u3002<\/p>\n<p>\u8003\u8651\u4e00\u79cd\u6bd4\u8f83\u7b80\u5355\u7684\u573a\u666f\uff1a\u4e0d\u5b58\u5728\u975e\u786e\u5b9a\u8ba1\u7b97\u7684\u6d41\u8ba1\u7b97\u5e94\u7528\u3002\u5982\u679c\u4e0d\u5b58\u5728\u975e\u786e\u5b9a\u8ba1\u7b97\uff0c\u6839\u636e\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u6027\u8bed\u4e49\u7684\u5145\u5206\u5fc5\u8981\u6761\u4ef6\uff0c\u53ea\u9700\u8981\u63a5\u53d7\u7aef\u5b9e\u73b0\u5e42\u7b49\uff0c\u5219 Spark Streaming \u5c31\u53ef\u4ee5\u5b9e\u73b0\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u6027\u3002\u80cc\u540e\u7684\u539f\u56e0\u662f\uff0c\u5f53\u5c06\u5f62\u5f0f\u5316\u7684\u7ed3\u679c\u5b9a\u4e49\u4e0e Spark Streaming \u8fdb\u884c\u6620\u5c04\uff0c\u4f1a\u53d1\u73b0\u5f53\u4ee5\u300c\u5fae\u6279\u300d\u7684\u5f62\u5f0f\u5b58\u50a8\u7ed3\u679c\u65f6\uff0c\u6e90\u72b6\u6001\u548c\u7b97\u5b50\u72b6\u6001\u4ee5 RDD \u8840\u7f18\u7684\u65b9\u5f0f\u5929\u7136\u5730\u548c\u8f93\u51fa\u7ed3\u679c\u8fdb\u884c\u4e86\u7ed1\u5b9a\uff0c\u5373\u5f53\u8f93\u51fa\u6700\u7ec8\u7ed3\u679c\u65f6\uff0c\u6211\u4eec\u5176\u5b9e\u4e5f\u4e00\u5e76\u8f93\u51fa\u4e86\u6e90\u548c\u7b97\u5b50\u72b6\u6001\uff0c\u64cd\u4f5c\u7b26\u5408\u4e00\u81f4\u6027\u6761\u4ef6\u3002<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b <\/p>\n<p><\/p>\n<p>\u66f4\u8fdb\u4e00\u6b65\uff0c\u5f53\u628a\u4ec5\u6709\u786e\u5b9a\u6027\u8ba1\u7b97(\u5e42\u7b49\u8f93\u51fa)\u7684 Spark Streaming \u548c \u4ec5\u6709\u786e\u5b9a\u6027\u8ba1\u7b97(\u5e42\u7b49\u8f93\u51fa)\u7684\u7684 Flink \u8fdb\u884c\u5bf9\u6bd4\u65f6\uff0c\u4f1a\u53d1\u73b0\u4e8c\u8005\u975e\u5e38\u76f8\u4f3c\u3002RDD \u8840\u7f18\u7c7b\u6bd4\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167\uff0c\u6279\u91cf\u8f93\u51fa\u7c7b\u6bd4\u4e00\u81f4\u6027\u5feb\u7167\u540e\u7684\u7ed3\u679c\u8f93\u51fa\uff0c\u5fae\u6279\u7c7b\u6bd4 epoch\u3002\u4e0d\u540c\u4e4b\u5904\u5728\u4e8e\uff1a1\u3001Spark Streaming \u5728\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\u7684\u6bcf\u4e00\u4e2a RDD \u751f\u6210\u9636\u6bb5\u90fd\u4f1a\u6709\u5ef6\u8fdf\uff0c\u800c Flink \u5728\u8ba1\u7b97\u8fc7\u7a0b\u4e2d\u53ef\u4ee5\u8fdb\u884c\u5b9e\u65f6\u5904\u7406;2\u3001Spark Streaming \u53ea\u6709\u4e00\u4e2a\u300cepoch\u300d\uff0c\u800c Flink \u53ef\u4ee5\u6709\u591a\u4e2a \u300cepoch\u300d\u5e76\u884c\u5b58\u5728\u3002\u57fa\u4e8e\u4e0a\u8ff0\u4e24\u70b9\u539f\u56e0\uff0cFlink 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FailOver -&gt; \u8f93\u5165\u6e90\u7684\u4e8b\u4ef6\u4f1a\u8fdb\u884c\u91cd\u53d1 -&gt; \u524d\u671f\u5b58\u50a8\u7684\u7ed3\u679c\u4f1a\u7528\u4e8e\u53bb\u91cd\/\u4e8b\u52a1\u56de\u6eda\u8ba9\u7ed3\u679c(\u5f15\u64ce\u72b6\u6001+\u8f93\u51fa\u7ed3\u679c)\u56de\u5230\u4e0a\u4e00\u6b21\u7684\u4e00\u81f4\u6027\u72b6\u6001 -&gt; \u4e0b\u4e00\u6279\u7ed3\u679c\u8f93\u51fa -&gt; \u7ed3\u679c\u63a5\u53d7\u7aef\u53ea\u5f71\u54cd\u4e00\u6b21 -&gt; \u5b9e\u73b0\u4e86\u7aef\u5230\u7aef\u7684\u4e00\u81f4\u3002<\/p>\n<p>\u4e0b\u9762\u7684\u56fe\u5217\u4e3e\u51fa\u5404\u5f15\u64ce\u5b9e\u73b0\u7aef\u5230\u7aef\u4e00\u81f4\u6027\u7684\u8def\u7ebf\u56fe\uff1a<\/p>\n<p style=\"text-align: center\">\u200b<\/p>\n<p style=\"text-align: center\">\u200b\u200b<\/p>\n<p style=\"text-align:center\">\n<p> \u200b\u200b 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Google MillWheel\uff0c\u80cc\u9760\u5f3a\u5927\u7684\u57fa\u7840\u67b6\u6784\u7528\u4e8e\u72b6\u6001\u7ba1\u7406\uff1b\u6709\u300c\u5fc3\u7075\u624b\u5de7\u300d\u578b\u7684 Apache Flink\uff0c\u5de7\u5999\u5730\u7ed3\u5408\u4e86\u5206\u5e03\u5f0f\u4e00\u81f4\u6027\u5feb\u7167\u548c\u4e24\u9636\u6bb5\u4e8b\u52a1\u5b9e\u73b0\u4e00\u81f4\u6027\uff1b\u4e5f\u6709\u300c\u91cd\u5251\u65e0\u950b\u300d\u578b\u7684 Apache Kafka Streams\uff0c\u76f4\u63a5\u5c06\u6d41\u5904\u7406\u8fc7\u7a0b\u4e8b\u52a1\u5316\uff0c\u5c4f\u853d\u590d\u6742\u7684\u5e95\u5c42\u903b\u8f91\uff0c\u7f16\u7a0b\u6a21\u578b\u548c\u7406\u89e3\u6210\u672c\u90fd\u66f4\u7b80\u5355(\u5f53\u7136\u4e5f\u4e00\u5b9a\u7a0b\u5ea6\u4e0a\u9650\u5236\u5176\u4f7f\u7528\u7684\u573a\u666f)\uff1b\u4e5f\u6709 \u300c\u84ec\u52c3\u53d1\u5c55\u300d\u4e2d\u7684 Apache Spark (Structured)Streaming\uff0c\u5e95\u5c42\u7684\u4e00\u4e9b\u5b9e\u73b0\u6784\u60f3\u548c Apache Flink \u6108\u52a0\u8d8b\u540c\uff0c\u53ef\u4ee5\u671f\u5f85\u5b83\u5c06\u6765\u80fd\u8fbe\u5230\u7c7b\u4f3c Apache Spark \u5728\u6279\u5904\u7406\u6d41\u57df\u4e2d\u7684\u5730\u4f4d\u3002<\/p>\n<p>\u5f53\u7136\uff0c\u5f15\u64ce\u867d\u7136\u8fd9\u4e48\u591a\uff0c\u4f46\u5176\u80cc\u540e\u662f\u6709\u82e5\u5e72\u6761\u4e3b\u7ebf\u8d2f\u7a7f\u7684\uff0c\u5e0c\u671b\u6211\u4eec\u80fd\u62e8\u5f00\u8ff7\u96fe\uff0c\u4e0d\u88ab\u8425\u9500\u7684\u5671\u5934\u6240\u5f71\u54cd\uff0c\u80fd\u6d1e\u5bdf\u5230\u4e00\u4e9b\u66f4\u4e3a\u672c\u8d28\u7684\u4e1c\u897f\u3002\u672c\u6587\u8bba\u8ff0\u7684\u7aef\u5230\u7aef\u4e00\u81f4\u7684\u6d41\u6570\u636e\u5904\u7406\u5b9e\u73b0\uff0c\u91cd\u70b9\u805a\u7126\u5728\u300c\u8ba1\u7b97\u548c\u72b6\u6001\u300d\u7ba1\u7406\uff0c\u4f46\u5b9e\u9645\u4e0a\uff0c\u8fd8\u6709\u5f88\u591a\u56e0\u7d20\u9700\u8981\u6211\u4eec\u53bb\u8003\u8651\uff0c\u5982\u65f6\u95f4\u7a97\u53e3\u7684\u63a8\u5bfc\u3001\u5ef6\u8fdf\u6570\u636e\u7684\u5904\u7406\u7b56\u7565\u3001\u5e95\u5c42\u8ba1\u7b97\u8282\u70b9\u7684\u901a\u4fe1\u5bb9\u9519\u7b49\uff0c\u8fd9\u4e9b\u95ee\u9898\u591a\u591a\u5c11\u5c11\u4e5f\u4f1a\u5f71\u54cd\u6570\u636e\u7684\u4e00\u81f4\u6027\uff0c\u8003\u8651\u5230\u6587\u4e2d\u7bc7\u5e45\uff0c\u8fd9\u91cc\u5c31\u4e0d\u4e00\u4e00\u5c55\u5f00\u4e86\uff0c\u611f\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u4e3b\u9898\u505a\u6df1\u5165\u7814\u7a76\u3002<\/p>\n<p>\u4e0b\u9762\u8fd9\u4e9b\u8bba\u6587\u5bf9\u8fdb\u4e00\u6b65\u4e86\u89e3\u6d41\u8ba1\u7b97\u5f88\u6709\u5e2e\u52a9\uff0c\u611f\u5174\u8da3\u7684\u540c\u5b66\u53ef\u4ee5\u53c2\u8003\uff1a<\/p>\n<ul>\n<li>\u300aStreaming System\u300b\uff0cT Akidau, S Chernyak, R Lax<\/li>\n<li>\u300aTransactions in Apache Kafka\u300b\uff0cApurva Mehta\uff0cJason Gustafson<\/li>\n<li>\u300aA Survey of State Management in Big Data Processing Systems\u300b\uff0cQC To, J Soto, V Markl<\/li>\n<li>\u300aMillWheel: fault-tolerant stream processing at Internet scale\u300b\uff0cT Akidau, A Balikov, K Bekiro?lu, S Chernyak<\/li>\n<li>\u300aDiscretized Streams: Fault-Tolerant Streaming Computation at Scale\u300b\uff0cM Zaharia, T Das, H Li, T Hunter<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u6d41\u8ba1\u7b97\u7684\u5e94\u7528\u4e0e\u5b9e\u8df5\u5728\u5927\u6570\u636e\u9886\u57df\u8d8a\u6765\u8d8a\u5e38\u89c1\uff0c\u5176\u91cd\u8981\u6027\u4e0d\u8a00\u800c\u55bb\uff0c\u5e38\u89c1\u7684\u6d41\u8ba1\u7b97\u5f15\u64ce\u6709 Google DataFlow [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":346456,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[61],"tags":[],"class_list":["post-346455","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-website"],"_links":{"self":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts\/346455","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/comments?post=346455"}],"version-history":[{"count":0,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/posts\/346455\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/media\/346456"}],"wp:attachment":[{"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/media?parent=346455"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/categories?post=346455"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/idc.net\/help\/wp-json\/wp\/v2\/tags?post=346455"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}