\n| \n 64\u6838 256G+<\/p>\n<\/td>\n | \n 40~64<\/p>\n<\/td>\n | \n \u5927\u72b6\u6001\u4f5c\u4e1a\u624d\u8fd9\u4e48\u914d<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 3.6. \u4e00\u53e5\u8bdd\u603b\u7ed3<\/h5>\nSlot \u662f\u8d44\u6e90\uff08\u5de5\u4f4d\uff09\uff0cParallelism \u662f\u9700\u6c42\uff08\u5de5\u4eba\uff09 \u2192 \u5de5\u4eba\u4e0d\u80fd\u6bd4\u5de5\u4f4d\u591a \u2192 \u751f\u4ea7\u6c38\u8fdc\u5148\u770b\u96c6\u7fa4\u603b slot \u591f\u4e0d\u591f\uff0c\u518d\u51b3\u5b9a\u80fd\u5f00\u591a\u5927\u5e76\u884c\u5ea6 \u2192 \u70ed\u70b9\u7b97\u5b50\u4e00\u5b9a\u8981 slotSharingGroup \u5206\u7ec4\uff0c\u5426\u5219\u4e92\u76f8\u62a2 slot \u4e00\u5361\u5168\u5361\u3002<\/p>\n \u8bb0\u4f4f\u8fd9\u4e09\u884c\u914d\u7f6e\uff0c90% \u7684\u6027\u80fd\u95ee\u9898\u90fd\u89e3\u51b3\u4e86\uff1a<\/p>\n taskmanager.numberOfTaskSlots: 24 <\/p>\n Java<\/p>\n .window(…).slotSharingGroup(\\”heavy-window\\”)
\n.addSink(…).slotSharingGroup(\\”slow-sink\\”) <\/p>\n \n \n \u4e09\u3001\u7b2c\u4e09\u90e8\u5206\uff1aDataStreamAPI<\/h2>\nDataStream API \u662fFlink\u7684\u6838\u5fc3\u5c42API\u3002\u4e00\u4e2aFlink\u7a0b\u5e8f\uff0c\u5176\u5b9e\u5c31\u662f\u5bf9 DataStream (\u6570\u636e\u6d41) \u7684\u5404\u79cd\u8f6c\u6362\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u4ee3\u7801\u57fa\u672c\u4e0a\u90fd\u7531\u4ee5\u4e0b\u51e0\u90e8\u5206\u6784\u6210\uff1a<\/p>\n \n ![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/02\/20260204104857-698324198846e.png\") <\/p>\n
StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();<\/p>\n \/\/ 1. Source\uff08\u4ece\u54ea\u8bfb\uff09
\nDataStream<String> stream = env
\n .fromSource(kafkaSource, WatermarkStrategy.noWatermarks(), \\”kafka\\”);<\/p>\n \/\/ 2. Transform\uff08\u600e\u4e48\u7b97
\nstream
\n .map(json -> parse(json)) \/\/ \u89e3\u6790
\n .filter(obj -> obj != null)
\n .assignTimestampsAndWatermarks(watermarkStrategy) \/\/ \u4e8b\u4ef6\u65f6\u95f4 + \u6c34\u5370\uff08\u91cd\u70b9\uff09
\n .keyBy(obj -> obj.id)
\n .window(TumblingEventTimeWindows.of(Time.minutes(1))) \/\/ \u7a97\u53e3
\n .aggregate(new MyAggFunction()) \/\/ \u805a\u5408\uff08\u6216\u8005 .sum()\/.reduce()\uff09\u7b49\u7b49<\/p>\n \/\/ 3. Sink\uff08\u5199\u5230\u54ea\u53bb\uff09
\n .addSink(new ClickHouseSink())
\n .setParallelism(8)
\n .slotSharingGroup(\\”ck-sink\\”); \/\/ \u751f\u4ea7\u5fc5\u5199 \u9632\u6b62\u53cd\u538b\u4f20\u67d3<\/p>\n env.execute(\\”my-real-time-job\\”); <\/p>\n \n 1\u3001\u6267\u884c\u73af\u5883\uff08\u5fc5\u987b\u7b2c\u4e00\u6b65\uff09<\/h3>\n\u6700\u7b80\u5355\u7684\u65b9\u5f0f\uff0c\u5c31\u662f\u76f4\u63a5\u8c03\u7528getExecutionEnvironment\u65b9\u6cd5\u3002\u5b83\u4f1a\u6839\u636e\u5f53\u524d\u8fd0\u884c\u7684\u4e0a\u4e0b\u6587\u76f4\u63a5\u5f97\u5230\u6b63\u786e\u7684\u7ed3\u679c\uff1a\u5982\u679c\u7a0b\u5e8f\u662f\u72ec\u7acb\u8fd0\u884c\u7684\uff0c\u5c31\u8fd4\u56de\u4e00\u4e2a\u672c\u5730\u6267\u884c\u73af\u5883\uff1b\u5982\u679c\u662f\u521b\u5efa\u4e86jar\u5305\uff0c\u7136\u540e\u4ece\u547d\u4ee4\u884c\u8c03\u7528\u5b83\u5e76\u63d0\u4ea4\u5230\u96c6\u7fa4\u6267\u884c\uff0c\u90a3\u4e48\u5c31\u8fd4\u56de\u96c6\u7fa4\u7684\u6267\u884c\u73af\u5883\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u8fd9\u4e2a\u65b9\u6cd5\u4f1a\u6839\u636e\u5f53\u524d\u8fd0\u884c\u7684\u65b9\u5f0f\uff0c\u81ea\u884c\u51b3\u5b9a\u8be5\u8fd4\u56de\u4ec0\u4e48\u6837\u7684\u8fd0\u884c\u73af\u5883\u3002<\/p>\n StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
\n\/\/ \u53ef\u9009\uff1a\u8bbe\u7f6e\u5e76\u884c\u5ea6\u3001\u5f00\u542f Checkpoint
\nenv.setParallelism(1); \/\/ \u5168\u5c40\u5e76\u884c\u5ea6\uff08\u751f\u4ea7\u614e\u7528\uff09
\nenv.enableCheckpointing(10000L); \/\/ \u5f00\u542f Exactly-once Checkpoint <\/p>\n \uff08\u5982\u679c\u751f\u4ea7\u4f7f\u7528\u7684\u662f\u4e91\u4ea7\u54c1\u90e8\u7f72\uff0c\u8fd9\u91cc\u4ee3\u7801\u91cc\u9762\u5c31\u4e0d\u8981\u5199\u6b7b\u5904\u7406Checkpoint\uff09<\/p>\n \n \n 2\u3001Source\uff08\u4ece\u54ea\u513f\u8bfb\u6570\u636e\uff09<\/h3>\nSource \u662f\u6574\u4e2a Flink \u4f5c\u4e1a\u7684\u5165\u53e3\uff0c\u51b3\u5b9a\u4e86\u6570\u636e\u4ece\u54ea\u513f\u6765\u3001\u600e\u4e48\u6765\u3001\u662f\u5426\u5e26\u4e8b\u4ef6\u65f6\u95f4\u3002 \u751f\u4ea7\u4e2d 90% \u7684 Source \u90fd\u662f Kafka\uff0c\u5269\u4e0b 10% \u662f\u6d4b\u8bd5\/\u6587\u4ef6\/\u81ea\u5b9a\u4e49\u3002<\/p>\n \n ![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/02\/20260204104857-69832419ae901.png\") <\/p>\n
\n 1. Source \u5206\u7c7b & \u4f7f\u7528\u9891\u7387<\/h4>\n\n\n\n| \n \u7c7b\u578b<\/p>\n<\/td>\n | \n \u4f7f\u7528\u573a\u666f<\/p>\n<\/td>\n | \n \u751f\u4ea7\u9891\u7387<\/p>\n<\/td>\n | \n \u63a8\u8350\u5ea6<\/p>\n<\/td>\n<\/tr>\n | \n| \n Kafka<\/p>\n<\/td>\n | \n \u751f\u4ea7\u5b9e\u65f6\u6570\u636e\u5165\u53e3<\/p>\n<\/td>\n | \n \u2605\u2605\u2605\u2605\u2605<\/p>\n<\/td>\n | \n \u5fc5\u5b66<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6587\u4ef6\uff08File\uff09<\/p>\n<\/td>\n | \n \u6279\u5904\u7406\u6216\u5c0f\u6570\u636e\u6d4b\u8bd5<\/p>\n<\/td>\n | \n \u2605\u2605<\/p>\n<\/td>\n | \n \u4e86\u89e3<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u96c6\u5408\uff08Collection\uff09<\/p>\n<\/td>\n | \n \u672c\u5730\u6d4b\u8bd5\u3001\u5355\u5143\u6d4b\u8bd5<\/p>\n<\/td>\n | \n \u2605\u2605\u2605<\/p>\n<\/td>\n | \n \u5e38\u7528<\/p>\n<\/td>\n<\/tr>\n | \n| \n Socket<\/p>\n<\/td>\n | \n \u5feb\u901f\u9a8c\u8bc1\u3001nc \u6d4b\u8bd5<\/p>\n<\/td>\n | \n \u2605\u2605<\/p>\n<\/td>\n | \n \u4e86\u89e3<\/p>\n<\/td>\n<\/tr>\n | \n| \n DataGen<\/p>\n<\/td>\n | \n \u6027\u80fd\u6d4b\u8bd5\u3001\u538b\u6d4b<\/p>\n<\/td>\n | \n \u2605\u2605\u2605<\/p>\n<\/td>\n | \n \u63a8\u8350<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u81ea\u5b9a\u4e49 Source<\/p>\n<\/td>\n | \n \u7279\u6b8a\u6570\u636e\u6e90\uff08MySQL\/Redis \u7b49\uff09<\/p>\n<\/td>\n | \n \u2605\u2605\u2605<\/p>\n<\/td>\n | \n \u8fdb\u9636<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u751f\u4ea7\u63a8\u8350\uff1aKafka + WatermarkStrategy\uff08\u4e8b\u4ef6\u65f6\u95f4 + \u6c34\u5370\uff09\u3002<\/p>\n \n 2. Kafka Source (\u751f\u4ea7\u4e3b\u529b)<\/h4>\n\/\/ \u52a0 flink-connector-kafka \u4f9d\u8d56
\nKafkaSource<WaterSensor> kafkaSource = KafkaSource.<WaterSensor>builder()
\n .setBootstrapServers(\\”hadoop102:9092,hadoop103:9092\\”)
\n .setTopics(\\”sensor-topic\\”)
\n .setGroupId(\\”flink-group-01\\”)
\n .setStartingOffsets(OffsetsInitializer.earliest()) \/\/ \u6216 latest() \/ committedOffsets()
\n .setValueOnlyDeserializer(new DeserializationSchema<WaterSensor>() {
\n @Override
\n public WaterSensor deserialize(byte[] message) throws IOException {
\n \/\/ \u81ea\u5df1\u5199 JSON \u89e3\u6790\uff0c\u6bd4\u5982 FastJSON \/ Gson
\n return JSON.parseObject(message, WaterSensor.class);
\n }
\n @Override
\n public boolean isEndOfStream(WaterSensor nextElement) { return false; }
\n @Override
\n public TypeInformation<WaterSensor> getProducedType() {
\n return TypeInformation.of(WaterSensor.class);
\n }
\n })
\n .build();<\/p>\n DataStream<WaterSensor> stream = env.fromSource(
\n kafkaSource,
\n WatermarkStrategy.<WaterSensor>forBoundedOutOfOrderness(Duration.ofSeconds(5)) \/\/ \u6c34\u5370
\n .withTimestampAssigner((sensor, ts) -> sensor.ts),
\n \\”kafka-source\\”
\n); <\/p>\n 3. Source \u5c42\u751f\u4ea7\u5fc5\u9700\u8003\u8651\u7684 3 \u4ef6\u4e8b<\/h4>\n\n\n\n| \n \u914d\u7f6e\u9879<\/p>\n<\/td>\n | \n \u4ee3\u7801\u4f4d\u7f6e<\/p>\n<\/td>\n | \n \u4e3a\u4ec0\u4e48\u5fc5\u987b\u914d<\/p>\n<\/td>\n<\/tr>\n | \n| \n Checkpoint\uff08Exactly-once\uff09<\/p>\n<\/td>\n | \n env.enableCheckpointing(10000L, CheckpointingMode.EXACTLY_ONCE);<\/p>\n<\/td>\n | \n Kafka Source \u624d\u80fd\u5b9e\u73b0\u7aef\u5230\u7aef\u7cbe\u786e\u4e00\u6b21<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6c34\u5370 + \u4e8b\u4ef6\u65f6\u95f4<\/p>\n<\/td>\n | \n WatermarkStrategy.forBoundedOutOfOrderness(…) + withTimestampAssigner<\/p>\n<\/td>\n | \n \u7a97\u53e3\u624d\u80fd\u57fa\u4e8e\u4e8b\u4ef6\u65f6\u95f4\u6b63\u786e\u8ba1\u7b97\uff0c\u5904\u7406\u4e71\u5e8f<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u5e76\u884c\u5ea6\u5bf9\u9f50 Kafka \u5206\u533a<\/p>\n<\/td>\n | \n Source \u5e76\u884c\u5ea6 = Kafka \u5206\u533a\u6570<\/p>\n<\/td>\n | \n \u5426\u5219\u541e\u5410\u6253\u6298\uff0c\u67d0\u4e9b\u5206\u533a\u6d88\u8d39\u6162<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 4. \u4e00\u53e5\u8bdd\u603b\u7ed3 Source \u5c42<\/h4>\n\u751f\u4ea7\u4f5c\u4e1a 99% \u90fd\u662f\u4ece Kafka Source \u5f00\u59cb<<\/p>\n","protected":false},"excerpt":{"rendered":" \u76ee\u6807
\n\u5e0c\u671b\u901a\u8fc7\u8fd9\u4efd\u5185\u5bb9\u629b\u7816\u5f15\u7389\uff0c\u8ba9\u4f60\u5728\u9605\u8bfb\u540e\u4e0d\u4ec5\u80fd\u72ec\u7acb\u7f16\u5199 WordCount\u3001\u63a5\u5165 Kafka\u3001\u4f7f\u7528 MySQL\/Redis\uff0c\u5bf9 Flink \u4f5c\u4e1a\u6709\u4e00\u4e2a\u6574\u4f53\u3001\u6e05\u6670\u7684\u8ba4\u8bc6\u3002
\n\u4e00\u3001\u7b2c\u4e00\u90e8\u5206\uff1aFlink \u5230\u5e95\u662f\u4ec0\u4e48\uff1f\u4e3a\u4ec0\u4e48\u8981\u7528\u5b83\uff1f
\n1.1 \u4e00\u53e5\u8bdd\u5b9a\u4e49
\nFlink \u662f\u4e00\u4e2a\u201c\u771f\u00b7\u5b9e\u65f6\u201d\u6d41\u8ba1\u7b97\u5f15\u64ce\uff0c\u4e13\u95e8\u7528\u6765\u5728\u6570\u636e\u4e0d\u65ad\u4ea7\u751f\u7684\u65f6\u5019\u5c31\u7acb\u523b\u7b97\u51fa\u7ed3\u679c\u3002 Flink\u6838\u5fc3\u76ee\u6807\uff0c\u662f\u201c\u6570\u636e\u6d41\u4e0a\u7684\u6709\u72b6\u6001\u8ba1\u7b97\u201d(Stateful Computations over Data Streams )\u5177\u4f53\u8bf4<\/p>\n","protected":false},"author":2,"featured_media":72009,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[331,1138,323],"topic":[],"class_list":["post-72016","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-apache","tag-flink","tag-323"],"yoast_head":"\n Apache Flink \u5feb\u901f\u5165\u95e8 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/72016.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Apache Flink \u5feb\u901f\u5165\u95e8 - 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