Try `env.setParallelism(1)`. Default parallelism for local environment is
`Runtime.getRuntime.availableProcessors`.
You test data set are so small that when they are scatter cross multiple
parallel instances, there will be no data with event time assigned to
trigger downstream computation.
Or you could try `WatermarkStrategy.withIdleness`.
Best,
Kezhu Wang
On February 24, 2021 at 15:43:47, sagar (sagarban...@gmail.com) wrote:
It is fairly simple requirement, if I changed it to PRocessing time it
works fine , but not working with event time..help appreciated!
On Wed, Feb 24, 2021 at 10:51 AM sagar <sagarban...@gmail.com> wrote:
> HI
>
> Corrected with below code, but still getting same issue
>
> Instant instant =
> p.getAsOfDateTime().atZone(ZoneId.systemDefault()).toInstant();
> long timeInMillis = instant.toEpochMilli();
> System.out.println(timeInMillis);
> return timeInMillis;
>
>
> On Wed, Feb 24, 2021 at 10:34 AM Kezhu Wang <kez...@gmail.com> wrote:
>
>> I saw one potential issue. Your timestamp assigner returns timestamp in
>> second resolution while Flink requires millisecond resolution.
>>
>>
>> Best,
>> Kezhu Wang
>>
>> On February 24, 2021 at 11:49:59, sagar (sagarban...@gmail.com) wrote:
>>
>> I have simple flink stream program, where I am using socket as my
>> continuous source
>> I have window size of 2 seconds.
>>
>> Somehow my window process function is not triggering and even if I pass
>> events in any order, flink is not ignoring
>>
>> I can see the output only when I kill my socket , please find the code
>> snippet below
>>
>> final StreamExecutionEnvironment env =
>> StreamExecutionEnvironment.getExecutionEnvironment();
>> env.setStreamTimeCharacteristic(TimeCharacteristic.EventTime);
>> env.setRuntimeMode(RuntimeExecutionMode.STREAMING);
>>
>>
>> DataStream<Price> price = env.socketTextStream("localhost",
>> 9998).uid("price source").map(new MapFunction<String, Price>() {
>> @Override
>> public Price map(String s) throws Exception {
>> return new Price(s.split(",")[0],
>> LocalDate.parse(s.split(",")[1]), new BigDecimal(s.split(",")[2]),new
>> BigDecimal(s.split(",")[3]), s.split(",")[4], new
>> BigDecimal(s.split(",")[5]), LocalDateTime.parse(s.split(",")[6]) );
>> }
>> }
>> );
>>
>> DataStream<Price> priceStream = price
>>
>>
>> .assignTimestampsAndWatermarks(WatermarkStrategy.<Price>forMonotonousTimestamps()
>> .withTimestampAssigner((p,timestamp) ->
>> {
>> ZoneId zoneId = ZoneId.systemDefault();
>> long epoch =
>> p.getAsOfDateTime().atZone(zoneId).toEpochSecond();
>> System.out.println(epoch);
>> return epoch;
>> }))
>> .keyBy(new KeySelector<Price, String>() {
>> @Override
>> public String getKey(Price price) throws Exception {
>> return price.getPerformanceId();
>> }
>> }).window(TumblingEventTimeWindows.of(Time.seconds(2)))
>> .process(new ProcessWindowFunction<Price, Price, String,
>> TimeWindow>() {
>>
>> @Override
>> public void process(String s, Context context,
>> Iterable<Price> iterable, Collector<Price> collector) throws Exception {
>> System.out.println(context.window().getStart()+
>> "Current watermark: "+context.window().getEnd());
>> Price p1 = null ;
>> for(Price p : iterable)
>> {
>> System.out.println(p.toString());
>> p1= p;
>> }
>> collector.collect(p1);
>> }
>> });
>>
>>
>> priceStream.writeAsText("c:\\ab.txt");
>>
>> also data I am inputting are
>>
>> p1,2019-12-31,1,34,USD,4,2019-12-31T00:00:00
>> p1,2019-12-31,2,34,USD,4,2019-12-31T00:00:01
>> p1,2019-12-31,3,34,USD,4,2019-12-31T00:00:02
>> p1,2019-12-31,4,34,USD,4,2019-12-31T00:00:03
>> p1,2019-12-31,5,34,USD,4,2019-12-31T00:00:04
>> p1,2019-12-31,10,34,USD,4,2019-12-31T00:00:01
>> p1,2021-12-31,15,34,USD,4,2021-12-31T00:00:01
>> p1,2018-12-31,10,34,USD,4,2018-12-31T00:00:01
>>
>> --
>> ---Regards---
>>
>> Sagar Bandal
>>
>> This is confidential mail ,All Rights are Reserved.If you are not
>> intended receipiant please ignore this email.
>>
>>
>
> --
> ---Regards---
>
> Sagar Bandal
>
> This is confidential mail ,All Rights are Reserved.If you are not intended
> receipiant please ignore this email.
>
--
---Regards---
Sagar Bandal
This is confidential mail ,All Rights are Reserved.If you are not intended
receipiant please ignore this email.
