S3 access via spark shows "Path does not exist" after update

I’ve been using Spark to read data from S3 for a while and it always worked with the following (pyspark) configuration:

spark.read. \
  .option('pathGlobFilter', f'*.json') \
  .option('mode', 'FAILFAST') \
  .format('json')
  .read('s3://moto-bucket-79be3fc05b/raw-data/prefix/foo=bar/partition=baz/service=subscriptions')

The moto-bucket-79be3fc05b bucket contents: raw-data/prefix/foo=bar/partition=baz/service=subscriptions/subscriptions.json

Before I upgraded to latest moto, Spark was able to find all files inside the “directory”, but now it fails with:

pyspark.sql.utils.AnalysisException: Path does not exist: s3://moto-bucket-79be3fc05b/raw-data/prefix/foo=bar/partition=baz/service=subscriptions

I never updated Spark and it is static to version pyspark==3.1.1 as required by AWS Glue.

I updated moto to v4.0.9 from v2.2.9 (I was forced to upgrade because some other requirement needed flask>2.2).

Unfortunately, I don’t know exactly what is the AWS http request that spark sends to S3 to list a path, but on python code I do verify the path exists before sending to spark, so I know for sure the files are there in the correct location. I tried adding a / at the end of the read string, but nothing changes.

If I pass the full file path (with subscriptions.json at the end), spark does indeed read it. So that narrows down a bit because I’m certain spark is using the correct bucket and really accessing moto.