gt;>> Thread(s) per core:1
>>> Core(s) per socket:1
>>> Socket(s): 1
>>> NUMA node(s): 1
>>> Vendor ID: GenuineIntel
>>> CPU family:6
>>> Model: 58
>>
Model name:Intel(R) Xeon(R) CPU E5-2690 v2 @ 3.00GHz
>> Stepping: 0
>> CPU MHz: 2999.999
>> BogoMIPS: 5999.99
>> Hypervisor vendor: VMware
>> Virtualization type: full
>> L1d cache: 32K
>> L
> L1i cache: 32K
> L2 cache: 256K
> L3 cache: 25600K
> NUMA node0 CPU(s): 0
>
>
> Thanks
>
>
>
> --
> *From:* Mich Talebzadeh
> *Sent:* Thursday, June 2, 2016 5:00 PM
> *To:* Andres M Jimenez T
ache: 25600K
NUMA node0 CPU(s): 0
Thanks
From: Mich Talebzadeh
Sent: Thursday, June 2, 2016 5:00 PM
To: Andres M Jimenez T
Cc: user@spark.apache.org
Subject: Re: how to increase threads per executor
What are passing as parameters to Spark-
What are passing as parameters to Spark-submit?
${SPARK_HOME}/bin/spark-submit \
--executor-cores=12 \
Also check
http://spark.apache.org/docs/latest/configuration.html
Execution Behavior/spark.executor.cores
HTH
Dr Mich Talebzadeh
LinkedIn *
https://www.linkedin.com/pr
Hi,
I am working with Spark 1.6.1, using kafka direct connect for streaming data.
Using spark scheduler and 3 slaves.
Kafka topic is partitioned with a value of 10.
The problem i have is, there is only one thread per executor running my
function (logic implementation).
Can anybody tell me
