I am facing an exception "Hive.get() called without a hive db setup" in the
executor. I wanted to understand how Hive object is initialized in the
executor threads? I only see Hive.get(hiveconf) in two places in spark 1.3
code.
In HiveContext.scala - I dont think this is created on the executor
In
I actually don't totally see why we can't use Google Docs provided it
is clearly discoverable from the JIRA. It was my understanding that
many projects do this. Maybe not (?).
If it's a matter of maintaining public record on ASF infrastructure,
perhaps we can just automate that if an issue is clos
Hi Eric - please direct this to the user@ list. This list is for
development of Spark itself.
On Sun, Apr 26, 2015 at 1:12 AM, eric wong wrote:
>
>
>
> Hi developers,
>
> I have sent to user mail list but no response...
>
> When running a exprimental KMeans job for expriment, the Cached RDD is
>
Hello All,
I'm trying to process a 3.5GB file on standalone mode using spark. I could
run my spark job succesfully on a 100MB file and it works as expected. But,
when I try to run it on the 3.5GB file, I run into the below error :
15/04/26 12:45:50 INFO BlockManagerMaster: Updated info of block
Hi developers,
I have sent to user mail list but no response...
When running a exprimental KMeans job for expriment, the Cached RDD is
original Points data.
I saw poor locality in Task details from WebUI. Almost one half of the
input of task is Network instead of Memory.
And Task with network i
