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Best Leonard Xu [1] https://flink.apache.org/community.html#mailing-lists <https://flink.apache.org/community.html#mailing-lists> > 在 2020年7月29日，13:55，hechao <13250818...@163.com> 写道： > > 我们这都是大部分都是以使用eventtime进行处理居多，需要使用eventtime，则要在3个地方进行设置 > > 第一： > > environment.setStreamTimeCharacteristic(TimeCharacteristic.EventTime); > > > > > 第二： > > SingleOutputStreamOperator<Object> add_event_time = > hitchSPVLoggerSingleOutputStreamOperator.uid("add event > time").assignTimestampsAndWatermarks(new > BoundedOutOfOrdernessTimestampExtractor<Object>(org.apache.flink.streaming.api.windowing.time.Time.seconds(0)) > { > > @Override > > public long extractTimestamp(Object o) { > > return o.timestamp; > > } > > }).setParallelism(sinkParallelism); > > > > > 第三： > > tableEnv.registerDataStream("hitch_match_result", add_event_time, > rowtime.rowtime as rt); > > > 最后使用rt即可。 > > > 有什么不对的地方，请帮忙指出，谢谢。 > > > | | > hechao > | > | > 13250818...@163.com > | > 签名由网易邮箱大师定制 > > > 在2020年07月29日 09:57，111<taochangl...@163.com> 写道： > > > > 您好，请教一个问题，谢谢： > 很简单的json， > {"num":100,"ts":1595949526874,"vin":"DDDD"} > {"num":200,"ts":1595949528874,"vin":"AAAA"} > {"num":200,"ts":1595949530880,"vin":"CCCC"} > {"num":300,"ts":1595949532883,"vin":"CCCC"} > {"num":100,"ts":1595949534888,"vin":"AAAA"} > {"num":300,"ts":1595949536892,"vin":"DDDD"} > 我就想使用eventtime开窗，但是亲测使用procetime可以，但是eventtime死活都不行，郁闷，望指教。 > public class FlinkKafka { > public static void main(String[] args) throws Exception{ > final StreamExecutionEnvironment env = > StreamExecutionEnvironment.getExecutionEnvironment(); > final EnvironmentSettings settings = > EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build(); > final StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env, > settings); > > String kafkaSourceTable = "CREATE TABLE kafkaSourceTable (\n" + > " ts BIGINT,\n" + > " num INT ,\n" + > " vin STRING ,\n" + > " pts AS PROCTIME() , \n" + //处理时间 > " rowtime AS TO_TIMESTAMP(FROM_UNIXTIME(ts / 1000, 'yyyy-MM-dd HH:mm:ss')), > \n " + > " WATERMARK FOR rowtime AS rowtime - INTERVAL '1' SECOND \n" + > ") WITH (\n" + > " 'connector' = 'kafka',\n" + > " 'topic' = 'kkb',\n" + > " 'properties.bootstrap.servers' = 'node01:9092,node02:9092,node03:9092',\n" + > " 'properties.group.id' = 'mm',\n" + > " 'format' = 'json',\n" + > " 'scan.startup.mode' = 'latest-offset' \n" + > ")"; > tableEnv.executeSql(kafkaSourceTable); > > String queryWindowAllDataSql = "SELECT * from kafkaSourceTable group by > ts,num,vin,pts,rowtime, TUMBLE(pts, INTERVAL '5' SECOND)"; > final Table windowAllTable = tableEnv.sqlQuery(queryWindowAllDataSql); > > windowAllTable.printSchema(); > tableEnv.toAppendStream(windowAllTable, Row.class).print(); > System.out.println("------------------------------------------------------"); > env.execute("job"); > > } > > } > > > --------------------------- > 请看，我这里String queryWindowAllDataSql = "SELECT * from kafkaSourceTable group > by ts,num,vin,pts,rowtime, TUMBLE(pts, INTERVAL '5' SECOND)" > 如果使用TUMBLE(pts, INTERVAL '5' SECOND)"，即使用processtime就没有任何问题，可以每格几秒输出所有的内容。 > 打印结果： > root > |-- ts: BIGINT > |-- num: INT > |-- vin: STRING > |-- pts: TIMESTAMP(3) NOT NULL *PROCTIME* > |-- rowtime: TIMESTAMP(3) *ROWTIME* > > > ------------------------------------------------------ > 11> 1595949629063,500,AAAA,2020-07-28T15:20:29.066,2020-07-28T23:20:29 > 7> 1595949627062,500,BBBB,2020-07-28T15:20:27.101,2020-07-28T23:20:27 > 7> 1595949631067,100,EEEE,2020-07-28T15:20:31.071,2020-07-28T23:20:31 > 12> 1595949633072,500,BBBB,2020-07-28T15:20:33.077,2020-07-28T23:20:33 > 11> 1595949637081,400,EEEE,2020-07-28T15:20:37.085,2020-07-28T23:20:37 > 2> 1595949635077,400,BBBB,2020-07-28T15:20:35.082,2020-07-28T23:20:35 > 11> 1595949639085,100,EEEE,2020-07-28T15:20:39.089,2020-07-28T23:20:39 > 1> 1595949643093,200,CCCC,2020-07-28T15:20:43.096,2020-07-28T23:20:43 > > > 但是如果我使用TUMBLE(rowtime, INTERVAL '5' > SECOND)，也就是想使用eventtime开窗，就没有任何的结果输出，一直在等待。 > 版本是flink1.11.0 > > > 望指教，谢谢！ > > > > > > > >
