t; conveniently has TTL, instead of DynamoDB.
>>>>>
>>>>> I just wanted to check whether eviction of (inactive/quiet) state from
>>>>> memory is something that I should consider implementing, or whether Flink
>>>>> already had some built-in
For
>>>> example, if you are only executing a sum on the contents of the window, the
>>>> window state doesn't need to store all the individual items in the window,
>>>> it only needs to store the sum. Aggregations other than "sum" might have
>&
gt; window state doesn't need to store all the individual items in the window,
>>> it only needs to store the sum. Aggregations other than "sum" might have
>>> that characteristic too. I don't know if Flink is already that intelligent
>>> or whether I should fig
gt;>> characteristic too. I don't know if Flink is already that intelligent or
>>> whether I should figure out how to aggregate window contents myself when
>>> possible with something like a window fold? Another poster (Aljoscha) was
>>> talking about adding in
ontents myself when
>> possible with something like a window fold? Another poster (Aljoscha) was
>> talking about adding incremental snapshots, but it sounds like that would
>> only improve the write throughput not the memory usage.
>>
>> Thanks again!
>> Shannon C
n Carey
>
>
> From: Stephan Ewen <se...@apache.org>
> Date: Wednesday, April 6, 2016 at 10:37 PM
> To: <user@flink.apache.org>
> Subject: Re: State in external db (dynamodb)
>
> Hi Shannon!
>
> Welcome to the Flink community!
>
> You are right, sinks need in
mory usage.
Thanks again!
Shannon Carey
From: Stephan Ewen <se...@apache.org<mailto:se...@apache.org>>
Date: Wednesday, April 6, 2016 at 10:37 PM
To: <user@flink.apache.org<mailto:user@flink.apache.org>>
Subject: Re: State in external db (dynamodb)
Hi Shannon!
Welcome to t
FYI Cassandra has a TTL on data:
https://docs.datastax.com/en/cql/3.1/cql/cql_using/use_expire_t.html
On Wed, Apr 6, 2016 at 7:55 AM, Shannon Carey wrote:
> Hi, new Flink user here!
>
> I found a discussion on user@flink.apache.org about using DynamoDB as a
> sink. However,