Yes

On Monday, February 2, 2015, Mark Hamstra <[email protected]> wrote:

> LOADING is just the state in which new Executors are created but before
> they have everything they need and are fully registered to transition to
> state RUNNING and begin doing actual work:
>
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/worker/Worker.scala#L351
>
> https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/client/AppClient.scala#L133
>
> LOADING should be a fairly brief, transitory state.  Are you seeing
> Executors remaining in LOADING for a significant length of time?
>
>
> On Mon, Feb 2, 2015 at 7:56 AM, akhandeshi <[email protected]
> <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote:
>
>> I am not sure what Loading status means, followed by Running.  In the
>> application UI, I see:
>> Executor Summary
>>
>> ExecutorID      Worker  Cores   Memory  State   Logs
>> 1       worker-20150202144112-hadoop-w-1.c.fi-mdd-poc.internal-38874
>> 16      83971
>> LOADING stdout stderr
>> 0       worker-20150202144112-hadoop-w-2.c.fi-mdd-poc.internal-58685
>> 16      83971
>> RUNNING stdout stderr
>>
>> Looking at the executor hadoop-w-2, I see the status is "Loading" .  Why
>> different statuses, and what does that mean?
>>
>> Please see below for details:
>>
>> ID: worker-20150202144112-hadoop-w-2.c.fi-mdd-poc.internal-58685
>> Master URL: spark://hadoop-m:7077
>> Cores: 16 (16 Used)
>> Memory: 82.0 GB (82.0 GB Used)
>> Back to Master
>>
>> Running Executors (1)
>>
>> ExecutorID      Cores   State   Memory  Job Details     Logs
>> 0       16      LOADING 82.0 GB
>> ID: app-20150202152154-0001
>> Name: Simple File Merge Application
>> User: hadoop
>> stdout stderr
>>
>> Thank you,
>>
>> Ami
>>
>>
>>
>> --
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>>
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