To answer your specific question, you can’t push data to Kafka through a socket
– you need a smart client library as the cluster setup is pretty advanced (also
requires zookeeper).
I bet there are php libraries for Kafka although after a quick search it seems
they’re still pretty young. Also – Kafka shines at larger deployments and
throughput (tens of thousands to millions of events per second) and may be
overkill for 100 events / sec.
Here are some other ideas:
* Use a lighter weight message broker like Rabbit MQ or MQTT – both have
good integrations with spark and should be simpler to integrate with PHP
* Instead of doing a socket call, log the event on disk – this opens up 2
strategies
* If you have access to shared storage, spark could read the files
directly
* Otherwise, you could rely on something like
Flume<https://flume.apache.org/> that can poll your logs and forward them to
spark (There is a default integration in the spark external package)
* Lastly, why not try to build on one of the custom
receivers<http://spark.apache.org/docs/latest/streaming-custom-receivers.html>?
There are plenty code samples in the docs and examples
* This may not be a good choice if you can’t afford to lose any messages
– in this case your life is harder as you’ll need to also use WAL based
implementation
Hope this helps,
-adrian
From:
"tarek.abouzei...@yahoo.com.INVALID<mailto:tarek.abouzei...@yahoo.com.INVALID>"
Reply-To: "tarek.abouzei...@yahoo.com<mailto:tarek.abouzei...@yahoo.com>"
Date: Sunday, October 18, 2015 at 10:28 AM
To: Xiao Li, Akhil Das
Cc: "user@spark.apache.org<mailto:user@spark.apache.org>"
Subject: Re: Spark handling parallel requests
hi Akhlis
its a must to push data to a socket as i am using php as a web service to push
data to socket , then spark catch the data on that socket and process it , is
there a way to push data from php to kafka directly ?
-- Best Regards, -- Tarek Abouzeid
On Sunday, October 18, 2015 10:26 AM,
"tarek.abouzei...@yahoo.com<mailto:tarek.abouzei...@yahoo.com>"
<tarek.abouzei...@yahoo.com<mailto:tarek.abouzei...@yahoo.com>> wrote:
hi Xiao,
1- requests are not similar at all , but they use solr and do commit sometimes
2- no caching is required
3- the throughput must be very high yeah , the requests are tiny but the system
may receive 100 request/sec ,
does kafka support listening to a socket ?
-- Best Regards, -- Tarek Abouzeid
On Monday, October 12, 2015 10:50 AM, Xiao Li
<gatorsm...@gmail.com<mailto:gatorsm...@gmail.com>> wrote:
Hi, Tarek,
It is hard to answer your question. Are these requests similar? Caching your
results or intermediate results in your applications? Or does that mean your
throughput requirement is very high? Throttling the number of concurrent
requests? ...
As Akhil said, Kafka might help in your case. Otherwise, you need to read the
designs or even source codes of Kafka and Spark Streaming.
Best wishes,
Xiao Li
2015-10-11 23:19 GMT-07:00 Akhil Das
<ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>>:
Instead of pushing your requests to the socket, why don't you push them to a
Kafka or any other message queue and use spark streaming to process them?
Thanks
Best Regards
On Mon, Oct 5, 2015 at 6:46 PM,
<tarek.abouzei...@yahoo.com.invalid<mailto:tarek.abouzei...@yahoo.com.invalid>>
wrote:
Hi ,
i am using Scala , doing a socket program to catch multiple requests at same
time and then call a function which uses spark to handle each process , i have
a multi-threaded server to handle the multiple requests and pass each to spark
, but there's a bottleneck as the spark doesn't initialize a sub task for the
new request , is it even possible to do parallel processing using single spark
job ?
Best Regards,
-- Best Regards, -- Tarek Abouzeid
