Trino data lake connectors categorize HDFS quota exceeded exceptions as EXTERNAL but should be USER_ERROR

[xkrogen]

When using a data lake connector (Hive/Iceberg/etc.) to write data to HDFS using Trino, we may see a QuotaExceededException (e.g. namespace quota or disk space quota exceeded). This is a userspace issue, but currently we categorize it as an EXTERNAL error.

I would like to work on a fix for this, but have a couple of things I'd like to discuss before moving forward:

1. My initial approach would be to modify HdfsOutputFile to add a new catch block here for QuotaExceededException, which will throw a TrinoException with type USER_ERROR:
   

   trino/lib/trino-hdfs/src/main/java/io/trino/filesystem/hdfs/HdfsOutputFile.java

   Lines 102 to 105 in 6697fe2

   	catch (org.apache.hadoop.fs.FileAlreadyExistsException e) {
   	createFileCallStat.recordException(e);
   	throw withCause(new FileAlreadyExistsException(toString()), e);
   	}

   
   (I think we would need to modify HdfsOutputStream#write() as well to catch disk space quota issues specifically, but need to double-check.)
   However I noticed that there is only one place in all of the various trino-filesystem-*/trino-hdfs modules where we throw a TrinoException, so I am wondering if there is a different best-practice for surfacing this kind of issue from the FS layer?

2. Are there analogous concepts on other blob stores (S3/GCS/Azure) that we should handle similarly?

As one example, when writing ORC data from Hive or Iceberg using OrcFileWriterFactory (handled here) or IcebergFileWriterFactory (handled here), you get an error with type (HIVE|ICEBERG)_WRITER_OPEN_ERROR) and message of simply "Error creating ORC file", which makes it challenging for the end user to understand that there is something on their end to correct (quota issue).

[xkrogen]

cc @electrum @weijiii @findepi

[wendigo]

cc @pajaks

[xkrogen]

Bump @findepi @pajaks @electrum

If it's helpful to guide the discussion I can put together a PR for this following the proposed approach, but I would love feedback before that to avoid myself any duplicate work in the wrong direction 😄