topic Re: Normalizing data from autoloader in Data Engineering

Normalizing data from autoloader

Rishitha — Tue, 09 May 2023 17:50:02 GMT

I have data on s3 and i'm using autoloader to load the data. My json docs have fields which are array of structures.

When I don't specify any schema the whole data is stored as strings even the array of structures are just a blob of string making it difficult to process with pyspark dataframe.

When i do specify a schema to autoload, the whole table is null.

Did anyone face any similar issues?

Re: Normalizing data from autoloader

artsheiko — Wed, 10 May 2023 13:21:38 GMT

Let's try the following :

cloudfile_options = {
    "cloudFiles.format": “json”,
    "cloudFiles.schemaLocation": "<path_to_schema_checkpoints_location>",
    "cloudFiles.inferColumnTypes":"true"
}
spark.readStream.format("cloudFiles").options(**cloudfile_options).load("<path_to_source_data>")

Re: Normalizing data from autoloader

Anonymous — Sun, 21 May 2023 05:15:04 GMT

Hi @Rishitha Reddy

Hope everything is going great.

Just wanted to check in if you were able to resolve your issue. If yes, would you be happy to mark an answer as best so that other members can find the solution more quickly? If not, please tell us so we can help you.

Cheers!