Marc Le Bihan created SPARK-45311:
-------------------------------------

             Summary: Encoder fails on many "NoSuchElementException: None.get" 
since 3.4.x, search for an encoder for a generic type, and since 3.5.x isn't 
"an expression encoder"
                 Key: SPARK-45311
                 URL: https://issues.apache.org/jira/browse/SPARK-45311
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 3.5.0, 3.4.1, 3.4.0
         Environment: Debian 12

Java 17

Underlying Spring-Boot 2.7.14
            Reporter: Marc Le Bihan


(I've extracted from my work a set of 35 tests showing the troubles encountered.

I suggest clone the 
[https://gitlab.com/territoirevif/minimal-tests-spark-issue] project to reach 
quicker the parts where the problems happens).

 

This project, that does many operations around cities, local authorities, 
accounting with open data is working well with Spark 3.2.x, 3.3.x.

 

But as soon as I select 3.4.x Spark version, where the encoder seems to have 
deeply changed,

the encoder fails with two series of problems:

 

*1)* It throws *java.util.NoSuchElementException: None.get* messages everywhere.

Asking over the Internet, I wasn't alone facing this problem. Reading it, 
you'll see that I've attempted a debug but my Scala skills are low.

[https://stackoverflow.com/questions/76036349/encoders-bean-doesnt-work-anymore-on-a-java-pojo-with-spark-3-4-0]

by the way, the encoder and decoder function should all forward a parameter as 
soon as the name of the field being handled is known.
{*}java.util.NoSuchElementException: None.get when [encoding|decoding] field 
siret{*}, would leave at least a chance to the developer where to search...

 

*2)* *Not found an encoder of the type RS to Spark SQL internal 
representation.* Consider to change the input type to one of supported at ...
Not found an encoder of the type *OMI_ID* to Spark SQL internal 
representation...

 
where *RS* and *OMI_ID* are ... generic types.
This is strange and alarming.
[https://stackoverflow.com/questions/76045255/encoders-bean-attempts-to-check-the-validity-of-a-return-type-considering-its-ge]

 

When I switch to the Spark 3.5.0 version, the same problem remain, but another 
add itself to the list
"{*}Only expression encoders are supported for now{*}"
 
to what was perfectly working before. I've no clue about it, but it's clearly a 
regression.
 



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