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Posted to user@spark.apache.org by pandees waran <pa...@gmail.com> on 2016/06/22 14:53:15 UTC

spark streaming questions

Hello all,

I have few questions regarding spark streaming :

* I am wondering anyone uses spark streaming with workflow orchestrators
such as data pipeline/SWF/any other framework. Is there any advantages
/drawbacks on using a workflow orchestrator for spark streaming?

*How do you guys manage the cluster(bringing down /creating a new cluster )
without any data loss in streaming?

I would like to hear your thoughts on this.

Re: spark streaming questions

Posted by pandees waran <pa...@gmail.com>.
For my question (2), From my understanding checkpointing ensures the recovery from failures.
Sent from my iPhone

> On Jun 22, 2016, at 10:27 AM, pandees waran <pa...@gmail.com> wrote:
> 
> In general, if you have multiple steps in a workflow :
> For every batch 
> 1.stream data from s3 
> 2.write it to hbase
> 3.execute a hive step using the data in s3 
> 
> In this case all these 3 steps are part of the workflow. That's the reason I mentioned about workflow orchestration.
> 
> The other question (2) is about how to manage the clusters without any downtime / data loss .(especially when you want k being down the cluster and create a new one for running spark streaming )
> 
> 
> Sent from my iPhone
> 
>> On Jun 22, 2016, at 10:17 AM, Mich Talebzadeh <mi...@gmail.com> wrote:
>> 
>> Hi Pandees,
>> 
>> can you kindly explain what you are trying to achieve by incorporating Spark streaming with workflow orchestration. Is this some form of back-to-back seamless integration.
>> 
>> I have not used it myself but would be interested in knowing more about your use case.
>> 
>> Cheers,
>> 
>> 
>> 
>> 
>> Dr Mich Talebzadeh
>>  
>> LinkedIn  https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>>  
>> http://talebzadehmich.wordpress.com
>>  
>> 
>>> On 22 June 2016 at 15:54, pandees waran <pa...@gmail.com> wrote:
>>> Hi Mich, please let me know if you have any thoughts on the below. 
>>> 
>>> ---------- Forwarded message ----------
>>> From: pandees waran <pa...@gmail.com>
>>> Date: Wed, Jun 22, 2016 at 7:53 AM
>>> Subject: spark streaming questions
>>> To: user@spark.apache.org
>>> 
>>> 
>>> Hello all,
>>> 
>>> I have few questions regarding spark streaming :
>>> 
>>> * I am wondering anyone uses spark streaming with workflow orchestrators such as data pipeline/SWF/any other framework. Is there any advantages /drawbacks on using a workflow orchestrator for spark streaming?
>>> 
>>> *How do you guys manage the cluster(bringing down /creating a new cluster ) without any data loss in streaming? 
>>> 
>>> I would like to hear your thoughts on this.
>>> 
>>> 
>>> 
>>> 
>>> -- 
>>> Thanks,
>>> Pandeeswaran
>> 

Re: spark streaming questions

Posted by pandees waran <pa...@gmail.com>.
In general, if you have multiple steps in a workflow :
For every batch 
1.stream data from s3 
2.write it to hbase
3.execute a hive step using the data in s3 

In this case all these 3 steps are part of the workflow. That's the reason I mentioned about workflow orchestration.

The other question (2) is about how to manage the clusters without any downtime / data loss .(especially when you want k being down the cluster and create a new one for running spark streaming )


Sent from my iPhone

> On Jun 22, 2016, at 10:17 AM, Mich Talebzadeh <mi...@gmail.com> wrote:
> 
> Hi Pandees,
> 
> can you kindly explain what you are trying to achieve by incorporating Spark streaming with workflow orchestration. Is this some form of back-to-back seamless integration.
> 
> I have not used it myself but would be interested in knowing more about your use case.
> 
> Cheers,
> 
> 
> 
> 
> Dr Mich Talebzadeh
>  
> LinkedIn  https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
>  
> http://talebzadehmich.wordpress.com
>  
> 
>> On 22 June 2016 at 15:54, pandees waran <pa...@gmail.com> wrote:
>> Hi Mich, please let me know if you have any thoughts on the below. 
>> 
>> ---------- Forwarded message ----------
>> From: pandees waran <pa...@gmail.com>
>> Date: Wed, Jun 22, 2016 at 7:53 AM
>> Subject: spark streaming questions
>> To: user@spark.apache.org
>> 
>> 
>> Hello all,
>> 
>> I have few questions regarding spark streaming :
>> 
>> * I am wondering anyone uses spark streaming with workflow orchestrators such as data pipeline/SWF/any other framework. Is there any advantages /drawbacks on using a workflow orchestrator for spark streaming?
>> 
>> *How do you guys manage the cluster(bringing down /creating a new cluster ) without any data loss in streaming? 
>> 
>> I would like to hear your thoughts on this.
>> 
>> 
>> 
>> 
>> -- 
>> Thanks,
>> Pandeeswaran
> 

Re: spark streaming questions

Posted by Mich Talebzadeh <mi...@gmail.com>.
Hi Pandees,

can you kindly explain what you are trying to achieve by incorporating
Spark streaming with workflow orchestration. Is this some form of
back-to-back seamless integration.

I have not used it myself but would be interested in knowing more about
your use case.

Cheers,




Dr Mich Talebzadeh



LinkedIn * https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw
<https://www.linkedin.com/profile/view?id=AAEAAAAWh2gBxianrbJd6zP6AcPCCdOABUrV8Pw>*



http://talebzadehmich.wordpress.com



On 22 June 2016 at 15:54, pandees waran <pa...@gmail.com> wrote:

> Hi Mich, please let me know if you have any thoughts on the below.
>
> ---------- Forwarded message ----------
> From: pandees waran <pa...@gmail.com>
> Date: Wed, Jun 22, 2016 at 7:53 AM
> Subject: spark streaming questions
> To: user@spark.apache.org
>
>
> Hello all,
>
> I have few questions regarding spark streaming :
>
> * I am wondering anyone uses spark streaming with workflow orchestrators
> such as data pipeline/SWF/any other framework. Is there any advantages
> /drawbacks on using a workflow orchestrator for spark streaming?
>
> *How do you guys manage the cluster(bringing down /creating a new cluster
> ) without any data loss in streaming?
>
> I would like to hear your thoughts on this.
>
>
>
>
> --
> Thanks,
> Pandeeswaran
>