Hi Flink users, we have an issue to see all events in the window apply() function, while we see them before the window operation.
The input is from Kafka and contains at least 6 topics which is at least 30 GB in total, and we have tested locally in IDE and cluster using 1.1.3 and 1.0.3. It works when: - using version 1.0.3 we can see all events but we lost around 1/3 of them - using processing time - setting the Kafka offset as latest - using less topics (3 topics) But we want to use offset as earliest in event time, and read 6 topics or more. Our test code: List<String> topicList = getAllEventTopic(eventsConf); // Start Flink job StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime); Properties properties = new Properties(); properties.setProperty("bootstrap.servers", Config.bootstrapServers); properties.setProperty("group.id", parameter.getRequired("groupId")); // It works properties.setProperty("auto.offset.reset", "earliest"); DataStream<String> streams = env.addSource( new FlinkKafkaConsumer09<>(topicList, new SimpleStringSchema(), properties)); DataStream<JSONObject> jsonStreams = streams.flatMap(new JSONMap()); // we actually use keyBy(). This is for testing purpose. jsonStreams.assignTimestampsAndWatermarks(new TestWatermark()).rebalance().windowAll(TumblingEventTimeWindows.of(Time.minutes(1))) .allowedLateness(Time.seconds(10)) .apply(new AllWindowFunction<JSONObject, Object, TimeWindow>() { @Override public void apply(TimeWindow timeWindow, Iterable<JSONObject> iterable, Collector collector) throws Exception { Iterator<JSONObject> it = iterable.iterator(); while(it.hasNext()){ collector.collect(it.next()); } } }).writeAsText("test", FileSystem.WriteMode.OVERWRITE).setParallelism(1); Is there any suggestion that we could try to fix the issue? Best, Sendoh -- View this message in context: http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Cannot-see-all-events-in-window-apply-for-big-input-tp9945.html Sent from the Apache Flink User Mailing List archive. mailing list archive at Nabble.com.