I also see that its creating both receivers on the same executor and that might
be the cause of having more RDDs on executor than the other. Can I suggest
spark to create each receiver on a each executor
Regards,Laeeq
On Monday, April 20, 2015 4:51 PM, Evo Eftimov <evo.efti...@isecc.com>
wrote:
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{}#yiv8130515999 And what is the message rate of each topic mate – that was the
other part of the required clarifications From: Laeeq Ahmed
[mailto:laeeqsp...@yahoo.com]
Sent: Monday, April 20, 2015 3:38 PM
To: Evo Eftimov; user@spark.apache.org
Subject: Re: Equal number of RDD Blocks Hi, I have two different topics and
two Kafka receivers, one for each topic. Regards,Laeeq On Monday, April
20, 2015 4:28 PM, Evo Eftimov <evo.efti...@isecc.com> wrote: What is meant by
“streams” here: 1. Two different DSTream Receivers producing two
different DSTreams consuming from two different kafka topics, each with
different message rate 2. One kafka topic (hence only one message rate to
consider) but with two different DStream receivers (ie running in parallel)
giving a start of two different DSTreams From: Laeeq Ahmed
[mailto:laeeqsp...@yahoo.com.INVALID]
Sent: Monday, April 20, 2015 3:15 PM
To: user@spark.apache.org
Subject: Equal number of RDD Blocks Hi, I have two streams of data from kafka.
How can I make approx. equal number of RDD blocks of on two executors.Please
see the attachement, one worker has 1785 RDD blocks and the other has 26.
Regards,Laeeq
