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The below documentation i am referring shows the schema to be specified like below in Python https://cloud.google.com/bigquery/docs/tables#creating_an_empty_table_with_a_schema_definition

schema = [bigquery.SchemaField("full_name", "STRING", mode="REQUIRED"),bigquery.SchemaField("age", "INTEGER", mode="REQUIRED")]

I tried with below JSON and Code, this works fine. I think the json you provided has RECORD inside RECORD so we need to handle accordingly

Thanks to the comment from Elbek I got this working! I was able to follow the guide here: https://forums.developer.nvidia.com/t/pytorch-for-jetson-version-1-8-0-now-available/72048

Unfortunately after I got everything installed I ran into an issue with not having enough memory, but, it all got installed.

In react, all state updates enqueued during a render cycle are asynchronously processed in the order they enqueued in, and are batch processed.

Given the provided code:

You have to convert JSON string to JSON object

eg

That's a canonical usage of axios-mock-adapter:

In violation of the HTTP protocol, the server returns the csv data with Content-Encoding: gzip, even if you explicitly send an Accept-Encoding: identity header. You will need to decompress the response body.

This constraint is actually documented in the Developers guide for this API:

All API responses are compressed using GZip. The request client must therefore accept GZip encoded content.

Something like this should work, and continue to work if the server starts sending uncompressed responses against our (now explicit) request:

The one thing I do is take a screenshot of the elements while it is loading and once it is gone. This helps me identify what is different. Many times it is just a style change.

You can try the below and pass in the xpath.