The watermark has not moved for this pattern to succeed ( or other wise ),
the issue though is that it is pretty early in the pipe ( like within a
minute ).  I am replaying from a kafka topic but the keyed operator has
emitted no more than 1500 plus elements to SelectCEPOperator ( very visible
on the UI ) so am sure not enough elements have been added to the
SharedBuffer to create memory stress.

The nature of the input stream is that events are pushed out with a
specific timestamp ( it is a time series and the timestamp if the beginning
of the time slot )  as in one will have a bunch of elements that have a
constant timestamp till the next batch appears.

A batch though does not have more than the number of keys elements ( 600 ).

On Thu, Feb 1, 2018 at 4:53 PM, Vishal Santoshi <vishal.santo...@gmail.com>
wrote:

> This is a pretty simple pattern, as in I hardly have 1500 elements ( across 
> 600 keys at the max ) put in
>
> and though I have a pretty wide range , as in I am looking at a relaxed 
> pattern ( like 40 true conditions in 6 hours ),
>
> I get this. I have the EventTime turned on.
>
>
>
> java.lang.OutOfMemoryError: Java heap space
>
>       at java.util.Arrays.copyOf(Arrays.java:3332)
>       at 
> java.lang.AbstractStringBuilder.ensureCapacityInternal(AbstractStringBuilder.java:124)
>       at 
> java.lang.AbstractStringBuilder.append(AbstractStringBuilder.java:448)
>       at java.lang.StringBuilder.append(StringBuilder.java:136)
>       at java.lang.StringBuilder.append(StringBuilder.java:131)
>       at org.apache.commons.lang3.StringUtils.join(StringUtils.java:4106)
>       at org.apache.commons.lang3.StringUtils.join(StringUtils.java:4151)
>       at 
> org.apache.flink.cep.nfa.SharedBuffer$SharedBufferEntry.toString(SharedBuffer.java:624)
>       at java.lang.String.valueOf(String.java:2994)
>       at java.lang.StringBuilder.append(StringBuilder.java:131)
>       at 
> org.apache.flink.cep.nfa.SharedBuffer$SharedBufferSerializer.serialize(SharedBuffer.java:964)
>       at 
> org.apache.flink.cep.nfa.SharedBuffer$SharedBufferSerializer.serialize(SharedBuffer.java:835)
>       at org.apache.flink.cep.nfa.NFA$NFASerializer.serialize(NFA.java:888)
>       at org.apache.flink.cep.nfa.NFA$NFASerializer.serialize(NFA.java:820)
>       at 
> org.apache.flink.contrib.streaming.state.RocksDBValueState.update(RocksDBValueState.java:100)
>
> .
>
> .
>
> .
>
>
> Any one has seen this issue ?
>
>
>

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