Hi Stephen,
I managed to solve my issue, I had a conflicting version of jackson
databind that came from parent pom.
Thank you,
Aurelien
Le dim. 30 janv. 2022 à 23:28, Aurélien Mazoyer a
écrit :
> Hi Stephen,
>
> Thank you for your answer. Yes, I changed the scope to "pro
look fine.
>
> What happens if you change the scope of your Jackson dependencies to
> “provided”?
>
> This should result in your application using the versions provided by
> Spark and avoid this potential collision.
>
> Cheers,
>
> Steve C
>
> On 27 Jan 2022, at 9:48 p
ependencies.
>
> Feel free to respond with the output if you have any questions about it.
>
> Cheers,
>
> Steve C
>
> > On 22 Jan 2022, at 10:49 am, Aurélien Mazoyer
> wrote:
> >
> > Hello,
> >
> > I migrated my code to Spark 3.2 and I am
Hello,
Sorry for asking twice, but anyone has any idea which issue I could be
facing with this depencency problem :-/?
Thank you,
Aurelien
Le sam. 22 janv. 2022 à 00:49, Aurélien Mazoyer a
écrit :
> Hello,
>
> I migrated my code to Spark 3.2 and I am facing some issues. When I run
Hello,
I migrated my code to Spark 3.2 and I am facing some issues. When I run my
unit tests via Maven, I get this error:
java.lang.NoClassDefFoundError: Could not initialize class
org.apache.spark.rdd.RDDOperationScope$
which is not super nice.
However, when I run my test via Intellij, I get
spark-metrics.html
>
>
> http://mail-archives.us.apache.org/mod_mbox/spark-user/201501.mbox/%3CCAE50=dq+6tdx9VNVM3ctBMWPLDPbUAacO3aN3L8x38zg=xb...@mail.gmail.com%3E
>
>
>
> I hope these help.
>
> --
>
> Thanks & Regards,
>
> Akshay Haryani
>
>
>
&g
Hello,
I use a DataFrameReader and I use permissive mode for corrupted records. I
would like to have more information about corrupted records: for example,
in the case of a schema mismatch, something like: "Invalid type. Expected
Integer but got String for column number 12 (in case of csv).
By
t; If you want to build your own custom metrics, you can explore spark custom
> plugins. Using a custom plugin, you can track your own custom metrics and
> plug it into the spark metrics system. Please note plugins are supported
> on spark versions above 3.0.
>
>
>
>
>
> --
Hi community,
I would like to collect information about the execution of a Spark job
while it is running. Could I define some kind of application metrics (such
as a counter that would be incremented in my code) that I could retrieve
regularly while the job is running?
Thank you for help,
