Hi Xi Shen,
You could set the spark.executor.memory in the code itself . new
SparkConf()..set("spark.executor.memory", "2g")
Or you can try the -- spark.executor.memory 2g while submitting the jar.
Regards
Jishnu Prathap
From: Akhil Das [mailto:ak...@sigmoidanalytics.com]
Sent: Monday, March 16, 2015 2:06 PM
To: Xi Shen
Cc: user@spark.apache.org
Subject: Re: How to set Spark executor memory?
By default spark.executor.memory is set to 512m, I'm assuming since you are
submiting the job using spark-submit and it is not able to override the value
since you are running in local mode. Can you try it without using spark-submit
as a standalone project?
Thanks
Best Regards
On Mon, Mar 16, 2015 at 1:52 PM, Xi Shen
<davidshe...@gmail.com<mailto:davidshe...@gmail.com>> wrote:
I set it in code, not by configuration. I submit my jar file to local. I am
working in my developer environment.
On Mon, 16 Mar 2015 18:28 Akhil Das
<ak...@sigmoidanalytics.com<mailto:ak...@sigmoidanalytics.com>> wrote:
How are you setting it? and how are you submitting the job?
Thanks
Best Regards
On Mon, Mar 16, 2015 at 12:52 PM, Xi Shen
<davidshe...@gmail.com<mailto:davidshe...@gmail.com>> wrote:
Hi,
I have set spark.executor.memory to 2048m, and in the UI "Environment" page, I
can see this value has been set correctly. But in the "Executors" page, I saw
there's only 1 executor and its memory is 265.4MB. Very strange value. why not
256MB, or just as what I set?
What am I missing here?
Thanks,
David
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