;>>> keep processing data as it comes in the input. If a streaming job is
>>>>> working well, it will typically generate output at a certain cadence
>>>>>
>>>>>
>>>>>
>>>>> From: KhajaAsmath Mohammed
>>>
>> processing data as it comes in the input. If a streaming job is working
>>>> well, it will typically generate output at a certain cadence
>>>>
>>>>
>>>>
>>>> From: KhajaAsmath Mohammed
>>>> Date: Tuesday, October 20, 20
generate output at a certain cadence
>>
>>
>>
>> *From: *KhajaAsmath Mohammed
>> *Date: *Tuesday, October 20, 2020 at 1:23 PM
>> *To: *"user @spark"
>> *Subject: *[EXTERNAL] Spark Structured streaming - Kakfa - slowness with
>> query 0
>>
>&g
math Mohammed
>> Date: Tuesday, October 20, 2020 at 1:23 PM
>> To: "user @spark"
>> Subject: [EXTERNAL] Spark Structured streaming - Kakfa - slowness with query >> 0
>>
>>
>>
>> CAUTION: This email originated from outside of the organ
generate output at a certain cadence
>
>
>
> *From: *KhajaAsmath Mohammed
> *Date: *Tuesday, October 20, 2020 at 1:23 PM
> *To: *"user @spark"
> *Subject: *[EXTERNAL] Spark Structured streaming - Kakfa - slowness with
> query 0
>
>
>
> *CAUTION*: Thi
spark"
Subject: [EXTERNAL] Spark Structured streaming - Kakfa - slowness with query 0
CAUTION: This email originated from outside of the organization. Do not click
links or open attachments unless you can confirm the sender and know the
content is safe.
Hi,
I have started using spark
Hi,
I have started using spark structured streaming for reading data from kaka
and the job is very slow. Number of output rows keeps increasing in query 0
and the job is running forever. any suggestions for this please?
[image: image.png]
Thanks,
Asmath
