Add more JSON parsing capability to the DelimitedJsonDialect class for querying blob storage JSON files

Is your feature request related to a problem? Please describe. I am trying to query a json file that sits in blob storage. I get a null response no matter what I delimit it by because of (I think) the way the json is formatted. The json file is a list of json’s. For example:

[
   {id:1,
   name: bob,
   shirt: tee}   ,

   {id:2,
   name: time,
   shirt: button} 
]

The query i’m trying to run is “SELECT COUNT(*) FROM BlobStorage”

Describe the solution you’d like I would like the capability to parse this type of json and return the row counts. Similar to pandas " orient=‘records’ " parameter in the read_json function. (i.e. pd.read_json(‘file.json’, orient=‘records’) )

Describe alternatives you’ve considered I have tried DelimitedJsonDialect(delimiter=‘,’) as the blob_format.

[xiangyan99]

Thanks for the feedback, we’ll investigate asap.

[galtman5]

Any update?