Spark streaming auto loader wildcard not working

[Jozhua]

Need som help with an issue loading a subdirectory from S3 bucket using auto-loader. For example:

S3://path1/path2/databases*/paths/

In databases there are various versions of databases. For example

path1/path2/database_v1/sub_path/*.parquet  

path1/path2/database_v2/sub_path/*.parquet  

path1/path2/database_v3/sub_path/*.parquet  

What's happening? - Well somehow it takes "database*" as a directory name literally. When it does not found that path it move one path behind. 

"Listing s3://path1..." 

And obviously it stay in that listening because from path1 to sub_path/*.parquet there are a lot of different schemas to explore. 

Already tried "cloudFiles.recursiveFileLookup": "true"

Also tried to pass a list but Databricks does not supports directory list.

Code:

autoloader_options = {
"cloudFiles.format": "parquet",
"cloudFiles.schemaLocation":f'{defs["schema_checkpoint_name"]}'
}

# AutoLoader
readstream_dataframe_autoloader = (
    spark.readStream
    .format("cloudFiles")
    .options(**autoloader_options)
    .load(
     'S3://path1/path2/databases*/sub_path/bank_fee '
        )
)

# No Autoloader works perfectly. But the project precise to use Auto loader feture. 

df_transaction = (
   spark.readStream
   .format("parquet")
   .option("rowsPerSecond", 100)
   .schema(<someschema>)
   .load("S3://path1/path2/databases*/paths/") 
   )