Well, the sales messages are coming through kafka. We need to extract some 
info from the database. We can do anything really. I'm just not sure what 
are the common practice here. It seems to be so many options. what kind of 
questions am I not asking here? 

On Monday, February 16, 2015 at 2:30:45 AM UTC-8, Mark Walkom wrote:
>
> This depends on how the app is made and what options you have to extract 
> data from it.
>
> On 16 February 2015 at 20:28, Kevin Liu <ke...@ticketfly.com <javascript:>
> > wrote:
>
>> We want to index our sales records as they come in from our apps. We are 
>> using quartz job right now, which is really slow and not really real-time. 
>>
>> We will be implementing a message bus soon for firing sales event. 
>>
>> The process is: 
>> read from a message queue
>> grab some extra data from mysql
>> do some ETL to construct the document
>> index it to ES. 
>>
>> I've been reading about apache spark, ES river, logstash. 
>>
>> My questions is what kind of tools are right for the job here? 
>> is apache spark an over kill? 
>> is DIY a better option here? 
>> what are you guys using? 
>>
>> please advice and point me to the right thing to read. 
>>
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