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From Jingsong Li <jingsongl...@gmail.com>
Subject Re: The parallelism of sink is always 1 in sqlUpdate
Date Fri, 06 Mar 2020 11:27:31 GMT
Which sink do you use?
It depends on sink implementation like [1]

[1]
https://github.com/apache/flink/blob/2b13a4155fd4284f6092decba867e71eea058043/flink-table/flink-table-api-java-bridge/src/main/java/org/apache/flink/table/sinks/CsvTableSink.java#L147

Best,
Jingsong Lee

On Fri, Mar 6, 2020 at 6:37 PM faaron zheng <faaronzheng@gmail.com> wrote:

> Thanks for you attention.  The input of sink is 500, and there is no order
> by and limit.
>
> Jingsong Li <jingsonglee0@gmail.com> 于 2020年3月6日周五 下午6:15写道:
>
>> Hi faaron,
>>
>> For sink parallelism.
>> - What is parallelism of the input of sink? The sink parallelism should
>> be same.
>> - Does you sql have order by or limit ?
>> Flink batch sql not support range partition now, so it will use single
>> parallelism to run order by.
>>
>> For the memory of taskmanager.
>> There is manage memory option to configure.
>>
>> [1]
>> https://ci.apache.org/projects/flink/flink-docs-master/ops/memory/mem_setup.html#managed-memory
>>
>> Best,
>> Jingsong Lee
>>
>> On Fri, Mar 6, 2020 at 5:38 PM faaron zheng <faaronzheng@gmail.com>
>> wrote:
>>
>>> Hi all,
>>>
>>> I am trying to use flink sql to run hive task. I use tEnv.sqlUpdate to
>>> execute my sql which looks like "insert overtwrite ... select ...". But I
>>> find the parallelism of sink is always 1, it's intolerable for large data.
>>> Why it happens? Otherwise, Is there any guide to decide the memory of
>>> taskmanager when I have two huge table to hashjoin, for example, each table
>>> has several TB data?
>>>
>>> Thanks,
>>> Faaron
>>>
>>
>>
>> --
>> Best, Jingsong Lee
>>
>

-- 
Best, Jingsong Lee

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