Hi Hansu,
I have encountered the same problem. Maven compiled avro file and generated
corresponding Java file in new directory which is not source file directory
of the project.
I have modified pom.xml file and it can be work.
The line marked as red is added, you can add them to your
Can someone explain the motivation behind passing executorAdded event to
DAGScheduler ? *DAGScheduler *does *submitWaitingStages *when *executorAdded
*method is called by *TaskSchedulerImpl*. I see some issue in the below
code,
*TaskSchedulerImpl.scala code*
if (!executorsByHost.contains(o.host))
Some corrections.
On Fri, Sep 26, 2014 at 5:32 PM, praveen seluka praveen.sel...@gmail.com
wrote:
Can someone explain the motivation behind passing executorAdded event to
DAGScheduler ? *DAGScheduler *does *submitWaitingStages *when *executorAdded
*method is called by *TaskSchedulerImpl*. I
just a quick reply, we cannot start two executors in the same host for a single
application in the standard deployment (one worker per machine)
I’m not sure if it will create an issue when you have multiple workers in the
same host, as submitWaitingStages is called everywhere and I never try
In Yarn, we can easily have multiple containers allocated in the same node.
On Fri, Sep 26, 2014 at 6:05 PM, Nan Zhu zhunanmcg...@gmail.com wrote:
just a quick reply, we cannot start two executors in the same host for a
single application in the standard deployment (one worker per machine)
I am seeing the same error as well since upgrading to Spark1.1:
14/09/26 15:35:05 ERROR executor.Executor: Exception in task 1032.0 in
stage 5.1 (TID 22449)
com.esotericsoftware.kryo.KryoException: java.io.IOException: failed to
uncompress the chunk: PARSING_ERROR(2)
at
all of our systems were affected by the shellshock bug, and i've just
patched everything w/the latest fix from redhat:
https://access.redhat.com/articles/1200223
we're not running bash.x86_64 0:4.1.2-15.el6_5.2 on all of our systems.
shane
we're not running bash.x86_64 0:4.1.2-15.el6_5.2 on all of our systems.
s/not/now
:)
I recently came across this mailing list post by Linus Torvalds
https://lkml.org/lkml/2004/12/20/255 about the value of reviewing even
“trivial” patches. The following passages stood out to me:
I think that much more important than the patch is the fact that people get
used to the notion that
Keep the patches coming :)
On Fri, Sep 26, 2014 at 1:50 PM, Nicholas Chammas
nicholas.cham...@gmail.com wrote:
I recently came across this mailing list post by Linus Torvalds
https://lkml.org/lkml/2004/12/20/255 about the value of reviewing even
“trivial” patches. The following passages
Would you mind to provide the DDL of this partitioned table together
with the query you tried? The stacktrace suggests that the query was
trying to cast a map into something else, which is not supported in
Spark SQL. And I doubt whether Hive support casting a complex type to
some other type.
Would you mind to provide the DDL of this partitioned table together
with the query you tried? The stacktrace suggests that the query was
trying to cast a map into something else, which is not supported in
Spark SQL. And I doubt whether Hive support casting a complex type to
some other type.
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