Dremio OutOfMemoryException

I have a query that performs a merge on an iceberg table, there is little data, around 4 million rows. However, every merge execution stops the query stating that it has reached the memory limit. I have already increased the execution machine to 128GB of RAM, but the error persists. What can I do to resolve this case?

I will send the query profile below.
a8bdae1a-7eca-42e5-b19f-7e3df568af67.zip (402,6,KB)

The 2 main memory consumers are

05-04                                                        HashJoin(condition=[AND(=($16, $34), =($17, $35))], joinType=[full])

and

09-03                                                                    HashJoin(condition=[=($0, $16)], joinType=[left]) : 

Arethese joins expanding as they are Full outer and Left outer joins?

It`s a merge…

merge into 
    {{this.database}}.{{this.schema}}.{{this.table}} a
using 
    (
        select 
            OEV_IDENTI_CURATED,
            OEV_DATABT,
            OEV_DATALT,
            OEV_DATALT_PART,
            OEV_DATCRI,
            OEV_IDENTI,
            OEV_OBSERV,
            OEV_OCP_IDENTI,
            OEV_PRGALT,
            OEV_PRGCRI,
            OEV_TIPEVE,
            OEV_USUALT,
            OEV_USUBDD,
            OEV_USUCRI,
            OWNER,
            INGESTION_DATE
        from 
            {{ ref('landing_twf_ocpeve') }}
    ) b
on 
    ( b.OEV_IDENTI_CURATED = a.OEV_IDENTI_CURATED )
when matched then
update set *
when not matched then
insert *

Any update?
We are struggling with this until now …
I’ve tried to config dremio-env increasing memory, incresed coordinator ec2 config, increased engine ec2, increased number of nodes, enabled join.spill, but nothing works…
Actually it’s a merge with 4mi rows in 6mi rows

@meneizs Any chance you can try the same Merge in 25.x? The reason is that 25.x has Hash Join spilling