f results are
>> sent out
>> of Flink and stored in an external db, if you can design the db writes to
>> be idempotent,
>> then it’ll effectively be a “last write wins”. It depends mostly on your
>> pipeline and
>> use case.
>>
>> *- Computations per m
Hello
I've done my first steps with Flink and i am very impressed of its
capabilities. Thank you for that :) I want to use it for a project we are
currently working on. After reading some documentation
i am not sure if it's the right tool for the job. We have an IoT
application in which we are mon
he partitioning or grouping. Usually
>> there are more partitions than parallel instances, so each instance will
>> take care of multiple partitions.
>>
>>
>>
>> On Thu, Feb 23, 2017 at 6:16 PM, Patrick Brunmayr
>> wrote:
>>
>>> What is the basic difference between partitioning datasets by key or
>>> grouping them by key ?
>>>
>>> Does it make a difference in terms of paralellism ?
>>>
>>> Thx
>>>
>>
>>
>
What is the basic difference between partitioning datasets by key or
grouping them by key ?
Does it make a difference in terms of paralellism ?
Thx