Dang what a massive PR: Files changed2,118,  +104,104 −29,161 lines changed.
Thanks for the details, Jark!

On Mon, Jan 27, 2020 at 4:07 PM Jark Wu <imj...@gmail.com> wrote:

> Hi Kant,
> Having a custom state backend is very difficult and is not recommended.
>
> Hi Benoît,
> Yes, the "Query on the intermediate state is on the roadmap" I
> mentioned is referring to integrate Table API & SQL with Queryable State.
> We also have an early issue FLINK-6968 to tracks this.
>
> Best,
> Jark
>
>
> On Fri, 24 Jan 2020 at 00:26, Benoît Paris <
> benoit.pa...@centraliens-lille.org> wrote:
>
>> Hi all!
>>
>> @Jark, out of curiosity, would you be so kind as to expand a bit on "Query
>> on the intermediate state is on the roadmap"?
>> Are you referring to working on QueryableStateStream/QueryableStateClient
>> [1], or around "FOR SYSTEM_TIME AS OF" [2], or on other APIs/concepts (is
>> there a FLIP?)?
>>
>> Cheers
>> Ben
>>
>> [1]
>> https://ci.apache.org/projects/flink/flink-docs-stable/dev/stream/state/queryable_state.html#querying-state
>> [2]
>> https://ci.apache.org/projects/flink/flink-docs-release-1.9/dev/table/streaming/temporal_tables.html#temporal-table
>>
>>
>> On Thu, Jan 23, 2020 at 6:40 AM kant kodali <kanth...@gmail.com> wrote:
>>
>>> Is it a common practice to have a custom state backend? if so, what
>>> would be a popular custom backend?
>>>
>>> Can I do Elasticseatch as a state backend?
>>>
>>> Thanks!
>>>
>>> On Wed, Jan 22, 2020 at 1:42 AM Jark Wu <imj...@gmail.com> wrote:
>>>
>>>> Hi Kant,
>>>>
>>>> 1) List of row is also sufficient in this case. Using a MapState is in
>>>> order to retract a row faster, and save the storage size.
>>>>
>>>> 2) State Process API is usually used to process save point. I’m afraid
>>>> the performance is not good to use it for querying.
>>>>     On the other side, AFAIK, State Process API requires the uid of
>>>> operator. However, uid of operators is not set in Table API & SQL.
>>>>     So I’m not sure whether it works or not.
>>>>
>>>> 3)You can have a custom statebackend by
>>>> implement org.apache.flink.runtime.state.StateBackend interface, and use it
>>>> via `env.setStateBackend(…)`.
>>>>
>>>> Best,
>>>> Jark
>>>>
>>>> On Wed, 22 Jan 2020 at 14:16, kant kodali <kanth...@gmail.com> wrote:
>>>>
>>>>> Hi Jark,
>>>>>
>>>>> 1) shouldn't it be a col1 to List of row? multiple rows can have the
>>>>> same joining key right?
>>>>>
>>>>> 2) Can I use state processor API
>>>>> <https://flink.apache.org/feature/2019/09/13/state-processor-api.html>
>>>>> from an external application to query the intermediate results in near
>>>>> real-time? I thought querying rocksdb state is a widely requested feature.
>>>>> It would be really great to consider this feature for 1.11
>>>>>
>>>>> 3) Is there any interface where I can implement my own state backend?
>>>>>
>>>>> Thanks!
>>>>>
>>>>>
>>>>> On Tue, Jan 21, 2020 at 6:08 PM Jark Wu <imj...@gmail.com> wrote:
>>>>>
>>>>>> Hi Kant,
>>>>>>
>>>>>> 1) Yes, it will be stored in rocksdb statebackend.
>>>>>> 2) In old planner, the left state is the same with right state which
>>>>>> are both `<col1, MapState<Row, Tuple2<count, expiredTime>>>`.
>>>>>>     It is a 2-level map structure, where the `col1` is the join key,
>>>>>> it is the first-level key of the state. The key of the MapState is the
>>>>>> input row,
>>>>>>     and the `count` is the number of this row, the expiredTime
>>>>>> indicates when to cleanup this row (avoid infinite state size). You can
>>>>>> find the source code here[1].
>>>>>>     In blink planner, the state structure will be more complex which
>>>>>> is determined by the meta-information of upstream. You can see the source
>>>>>> code of blink planner here [2].
>>>>>> 3) Currently, the intermediate state is not exposed to users.
>>>>>> Usually, users should write the query result to an external system (like
>>>>>> Mysql) and query the external system.
>>>>>>     Query on the intermediate state is on the roadmap, but I guess it
>>>>>> is not in 1.11 plan.
>>>>>>
>>>>>> Best,
>>>>>> Jark
>>>>>>
>>>>>> [1]:
>>>>>> http://github.com/apache/flink/blob/master/flink-table/flink-table-planner/src/main/scala/org/apache/flink/table/runtime/join/NonWindowJoin.scala#L61
>>>>>> [2]:
>>>>>> https://github.com/apache/flink/blob/master/flink-table/flink-table-runtime-blink/src/main/java/org/apache/flink/table/runtime/operators/join/stream/state/JoinRecordStateViews.java#L45
>>>>>>
>>>>>>
>>>>>> 2020年1月21日 18:01,kant kodali <kanth...@gmail.com> 写道:
>>>>>>
>>>>>> Hi All,
>>>>>>
>>>>>> If I run a query like this
>>>>>>
>>>>>> StreamTableEnvironment.sqlQuery("select * from table1 join table2 on
>>>>>> table1.col1 = table2.col1")
>>>>>>
>>>>>> 1) Where will flink store the intermediate result? Imagine
>>>>>> flink-conf.yaml says state.backend = 'rocksdb'
>>>>>>
>>>>>> 2) If the intermediate results are stored in rockdb then what is the
>>>>>> key and value in this case(given the query above)?
>>>>>>
>>>>>> 3) What is the best way to query these intermediate results from an
>>>>>> external application? while the job is running and while the job is not
>>>>>> running?
>>>>>>
>>>>>> Thanks!
>>>>>>
>>>>>>
>>>>>>
>>
>> --
>> Benoît Paris
>> Ingénieur Machine Learning Explicable
>> Tél : +33 6 60 74 23 00
>> http://benoit.paris
>> http://explicable.ml
>>
>

-- 
Benoît Paris
Ingénieur Machine Learning Explicable
Tél : +33 6 60 74 23 00
http://benoit.paris
http://explicable.ml

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