Re: [Spark Kafka] How to update batch size of input dynamically for spark kafka consumer?

[Cody Koeninger]

You can't change the batch time, but you can limit the number of items
in the batch

http://spark.apache.org/docs/latest/configuration.html

spark.streaming.backpressure.enabled

spark.streaming.kafka.maxRatePerPartition

On Tue, Jan 3, 2017 at 4:00 AM, 周家帅  wrote:
> Hi,
>
> I am an intermediate spark user and have some experience in large data
> processing. I post this question in StackOverflow but receive no response.
> My problem is as follows:
>
> I use createDirectStream in my spark streaming application. I set the batch
> interval to 7 seconds and most of the time the batch job can finish within
> about 5 seconds. However, in very rare cases, the batch job need cost 60
> seconds and this will delay some batches of jobs. To cut down the total
> delay time for these batches, I hope I can process more streaming data which
> spread over the delayed jobs at one time. This will help the streaming
> return to normal as soon as possible.
>
> So, I want to know there is some method to dynamically update/merge batch
> size of input for spark and kafka when delay appears.
>
> Many thanks for your help.
>
>
> --
> Jiashuai Zhou
>
> School of Electronics Engineering and Computer Science,
> Peking University
>

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[Spark Kafka] How to update batch size of input dynamically for spark kafka consumer?

[周家帅]

Hi,

I am an intermediate spark user and have some experience in large data
processing. I post this question in StackOverflow but receive no response.
My problem is as follows:

I use createDirectStream in my spark streaming application. I set the batch
interval to 7 seconds and most of the time the batch job can finish within
about 5 seconds. However, in very rare cases, the batch job need cost 60
seconds and this will delay some batches of jobs. To cut down the total
delay time for these batches, I hope I can process more streaming data
which spread over the delayed jobs at one time. This will help the
streaming return to normal as soon as possible.

So, I want to know there is some method to dynamically update/merge batch
size of input for spark and kafka when delay appears.

Many thanks for your help.

-- 
Jiashuai Zhou

School of Electronics Engineering and Computer Science,
Peking University