Each receiver will run on 1 core. So if your network is not the bottleneck then to test the consumption speed of the receivers you can simply do a *dstream.count.print* to see how many records it can receive. (Also it will be available in the Streaming tab of the driver UI). If you spawn 10 receivers on 10 cores then possibly no processing will happen other than receiving. Now, on the other hand the MQ can also be the bottleneck (you could possibly configure it to achieve more parallelism)
Thanks Best Regards On Mon, Jun 15, 2015 at 2:40 PM, Chaudhary, Umesh < umesh.chaudh...@searshc.com> wrote: > Hi Akhil, > > Thanks for your response. > > I have 10 cores which sums of all my 3 machines and I am having 5-10 > receivers. > > I have tried to test the processed number of records per second by varying > number of receivers. > > If I am having 10 receivers (i.e. one receiver for each core), then I am > not experiencing any performance benefit from it. > > Is it something related to the bottleneck of MQ or Reliable Receiver? > > > > *From:* Akhil Das [mailto:ak...@sigmoidanalytics.com] > *Sent:* Saturday, June 13, 2015 1:10 AM > *To:* Chaudhary, Umesh > *Cc:* user@spark.apache.org > *Subject:* Re: Optimizing Streaming from Websphere MQ > > > > How many cores are you allocating for your job? And how many receivers are > you having? It would be good if you can post your custom receiver code, it > will help people to understand it better and shed some light. > > > Thanks > > Best Regards > > > > On Fri, Jun 12, 2015 at 12:58 PM, Chaudhary, Umesh < > umesh.chaudh...@searshc.com> wrote: > > Hi, > > I have created a Custom Receiver in Java which receives data from > Websphere MQ and I am only writing the received records on HDFS. > > > > I have referred many forums for optimizing speed of spark streaming > application. Here I am listing a few: > > > > · Spark Official > <http://spark.apache.org/docs/latest/streaming-programming-guide.html#performance-tuning> > > · VIrdata <http://www.virdata.com/tuning-spark/> > > · TD’s Slide (A bit Old but Useful) > <http://www.slideshare.net/spark-project/deep-divewithsparkstreaming-tathagatadassparkmeetup20130617> > > > > I got mainly two point for my applicability : > > > > · giving batch interval as 1 sec > > · Controlling “spark.streaming.blockInterval” =200ms > > · inputStream.repartition(3) > > > > But that did not improve my actual speed (records/sec) of receiver which > is MAX 5-10 records /sec. This is way less from my expectation. > > Am I missing something? > > > > Regards, > > Umesh Chaudhary > > This message, including any attachments, is the property of Sears Holdings > Corporation and/or one of its subsidiaries. It is confidential and may > contain proprietary or legally privileged information. If you are not the > intended recipient, please delete it without reading the contents. Thank > you. > > > This message, including any attachments, is the property of Sears > Holdings Corporation and/or one of its subsidiaries. It is confidential and > may contain proprietary or legally privileged information. If you are not > the intended recipient, please delete it without reading the contents. > Thank you. >
