Maybe there's a misunderstanding. But basically I want to do clickstream
count for a given "url" and for simplicity and accuracy of the count base
it on processing time (event time doesn't matter as long as I get a total
of clicks at that given processing time)

So regardless of the event time. I want all clicks for the current
processing time rounded to the minute per link.

So, if now was 2022-04-07T12:01:00.000Z

Then I would want the following result...

2022-04-07T12:01:00.000Z|cnn.com|some-article-name count = 10
2022-04-07T12:01:00.000Z|cnn.com|some-other-article count = 2
2022-04-07T12:01:00.000Z|cnn.com|another-article count = 15
....
2022-04-07T12:02:00.000Z|cnn.com|some-article-name count = 30
2022-04-07T12:02:00.000Z|cnn.com|some-other-article count = 1
2022-04-07T12:02:00.000Z|cnn.com|another-article count = 10
And so on...

@Override
public MyEventCountKey getKey(final MyEvent click) throws Exception
{
MyEventCountKey key = new MyEventCountKey(
Instant.from(roundFloor(Instant.now().atZone(ZoneId.of("UTC")), ChronoField.
MINUTE_OF_HOUR, windowSizeMins)).toString(),
click.getDomain(), // cnn.com
click.getPath(), // /some-article-name
);
return key;
}



On Mon, Feb 7, 2022 at 10:48 AM David Morávek <d...@apache.org> wrote:

> The key selector works.
>
>
> No it does not ;) It depends on the system time so it's not deterministic
> (you can get different keys for the very same element).
>
> How do you key a count based on the time. I have taken this from samples
>> online.
>>
>
> This is what the windowing is for. You basically want to group / combine
> elements per key and event time window [1].
>
> [1]
> https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/dev/datastream/operators/windows/
>
> Best,
> D.
>
> On Mon, Feb 7, 2022 at 3:44 PM John Smith <java.dev....@gmail.com> wrote:
>
>> The key selector works. It only causes an issue if there too many keys
>> produced in one shot. For example of 100 "same" keys are produced for that
>> 1 minutes it's ok. But if 101 are produced the error happens.
>>
>>
>> If you look at the reproducer at least that's what's hapenning
>>
>> How do you key a count based on the time. I have taken this from samples
>> online.
>>
>> The key is that particular time for that particular URL path.
>>
>> So cnn.com/article1 was clicked 10 times at 2022-01-01T10:01:00
>>
>> On Mon., Feb. 7, 2022, 8:57 a.m. Chesnay Schepler, <ches...@apache.org>
>> wrote:
>>
>>> Your Key selector doesn't need to implement hashCode, but given the same
>>> object it has to return the same key.
>>> In your reproducer the returned key will have different timestamps, and
>>> since the timestamp is included in the hashCode, they will be different
>>> each time.
>>>
>>> On 07/02/2022 14:50, John Smith wrote:
>>>
>>> I don't get it? I provided the reproducer. I implemented the interface
>>> to Key selector it needs hashcode and equals as well?
>>>
>>> I'm attempting to do click stream. So the key is based on processing
>>> date/time rounded to the minute + domain name + path
>>>
>>> So these should be valid below?
>>>
>>> 2022-01-01T10:02:00 + cnn.com + /article1
>>> 2022-01-01T10:02:00 + cnn.com + /article1
>>> 2022-01-01T10:02:00 + cnn.com + /article1
>>>
>>> 2022-01-01T10:02:00 + cnn.com + /article2
>>>
>>> 2022-01-01T10:03:00 + cnn.com + /article1
>>> 2022-01-01T10:03:00 + cnn.com + /article1
>>>
>>> 2022-01-01T10:03:00 + cnn.com + /article3
>>> 2022-01-01T10:03:00 + cnn.com + /article3
>>>
>>> On Mon., Feb. 7, 2022, 2:53 a.m. Chesnay Schepler, <ches...@apache.org>
>>> wrote:
>>>
>>>> Don't KeySelectors also need to be deterministic?
>>>>
>>>> * The {@link KeySelector} allows to use deterministic objects for 
>>>> operations such as reduce,* reduceGroup, join, coGroup, etc. *If invoked 
>>>> multiple times on the same object, the returned key*** must be the same.*
>>>>
>>>>
>>>> On 04/02/2022 18:25, John Smith wrote:
>>>>
>>>> Hi Francesco,  here is the reproducer:
>>>> https://github.com/javadevmtl/flink-key-reproducer
>>>>
>>>> So, essentially it looks like when there's a high influx of records
>>>> produced from the source that the Exception is thrown.
>>>>
>>>> The key is generated by 3 values: date/time rounded to the minute and 2
>>>> strings.
>>>> So you will see keys as follows...
>>>> 2022-02-04T17:20:00Z|foo|bar
>>>> 2022-02-04T17:21:00Z|foo|bar
>>>> 2022-02-04T17:22:00Z|foo|bar
>>>>
>>>> The reproducer has a custom source that basically produces a record in
>>>> a loop and sleeps for a specified period of milliseconds 100ms in this 
>>>> case.
>>>> The lower the sleep delay the faster records are produced the more
>>>> chances the exception is thrown. With a 100ms delay it's always thrown.
>>>> Setting a 2000 to 3000ms will guarantee it to work.
>>>> The original job uses a Kafka Source so it should technically be able
>>>> to handle even a couple thousand records per second.
>>>>
>>>>
>>>> On Thu, 3 Feb 2022 at 16:41, John Smith <java.dev....@gmail.com> wrote:
>>>>
>>>>> Ok it's not my data either. I think it may be a volume issue. I have
>>>>> managed to consistently reproduce the error. I'll upload a reproducer 
>>>>> ASAP.
>>>>>
>>>>>
>>>>>
>>>>> On Thu, 3 Feb 2022 at 15:37, John Smith <java.dev....@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> Ok so I tried to create a reproducer but I couldn't reproduce it. But
>>>>>> the actual job once in a while throws that error. So I'm wondering if 
>>>>>> maybe
>>>>>> one of the records that comes in is not valid, though I do validate prior
>>>>>> to getting to the key and window operators.
>>>>>>
>>>>>> On Thu, 3 Feb 2022 at 14:32, John Smith <java.dev....@gmail.com>
>>>>>> wrote:
>>>>>>
>>>>>>> Actually maybe not because with PrintSinkFunction it ran for a bit
>>>>>>> and then it threw the error.
>>>>>>>
>>>>>>> On Thu, 3 Feb 2022 at 14:24, John Smith <java.dev....@gmail.com>
>>>>>>> wrote:
>>>>>>>
>>>>>>>> Ok it may be the ElasticSearch connector causing the issue?
>>>>>>>>
>>>>>>>> If I use PrintSinkFunction then I get no error and my stats print
>>>>>>>> as expected.
>>>>>>>>
>>>>>>>> On Wed, 2 Feb 2022 at 03:01, Francesco Guardiani <
>>>>>>>> france...@ververica.com> wrote:
>>>>>>>>
>>>>>>>>> Hi,
>>>>>>>>> your hash code and equals seems correct. Can you post a minimum
>>>>>>>>> stream pipeline reproducer using this class?
>>>>>>>>>
>>>>>>>>> FG
>>>>>>>>>
>>>>>>>>> On Tue, Feb 1, 2022 at 8:39 PM John Smith <java.dev....@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Hi, getting java.lang.IllegalArgumentException: Key group 39 is
>>>>>>>>>> not in KeyGroupRange{startKeyGroup=96, endKeyGroup=103}. Unless 
>>>>>>>>>> you're
>>>>>>>>>> directly using low level state access APIs, this is most likely 
>>>>>>>>>> caused by
>>>>>>>>>> non-deterministic shuffle key (hashCode and equals implementation).
>>>>>>>>>>
>>>>>>>>>> This is my class, is my hashCode deterministic?
>>>>>>>>>>
>>>>>>>>>> public final class MyEventCountKey {
>>>>>>>>>>     private final String countDateTime;    private final String 
>>>>>>>>>> domain;    private final String event;    public 
>>>>>>>>>> MyEventCountKey(final String countDateTime, final String domain, 
>>>>>>>>>> final String event) {
>>>>>>>>>>         this.countDateTime = countDateTime;        this.domain = 
>>>>>>>>>> domain;        this.event = event;    }
>>>>>>>>>>
>>>>>>>>>>     public String getCountDateTime() {
>>>>>>>>>>         return countDateTime;    }
>>>>>>>>>>
>>>>>>>>>>     public String getDomain() {
>>>>>>>>>>         return domain;    }
>>>>>>>>>>
>>>>>>>>>>     public String getEven() {
>>>>>>>>>>         return event;    }
>>>>>>>>>>
>>>>>>>>>>     @Override    public String toString() {
>>>>>>>>>>         return countDateTime + "|" + domain + "|" + event;    }
>>>>>>>>>>
>>>>>>>>>>     @Override    public boolean equals(Object o) {
>>>>>>>>>>         if (this == o) return true;        if (o == null || 
>>>>>>>>>> getClass() != o.getClass()) return false;        MyEventCountKey 
>>>>>>>>>> that = (MyEventCountKey) o;        return 
>>>>>>>>>> countDateTime.equals(that.countDateTime) &&
>>>>>>>>>>                 domain.equals(that.domain) &&
>>>>>>>>>>                 event.equals(that.event);    }
>>>>>>>>>>
>>>>>>>>>>     @Override    public int hashCode() {
>>>>>>>>>>         final int prime = 31;        int result = 1;        result = 
>>>>>>>>>> prime * result + countDateTime.hashCode();        result = prime * 
>>>>>>>>>> result + domain.hashCode();        result = prime * result +  
>>>>>>>>>> event.hashCode();        return result;    }
>>>>>>>>>> }
>>>>>>>>>>
>>>>>>>>>>
>>>>
>>>

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