Snowflake normalization gives NULL tables when un-nesting JSON blobs

Connector Questions & Issues
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  • Is this your first time deploying Airbyte?: No / Yes
  • OS Version / Instance: MacOS
  • Memory / Disk: 32Gb / 1 Tb
  • Deployment: Docker
  • Airbyte Version: 0.39.41-alpha
  • Source name/version: Custom source for Aircall API
  • Destination name/version: Snowflake 0.4.35
  • Step: Sync - Normalization
  • Description:

Hi everybody! I have a question regarding the normalization process in Snowflake

I created a custom source to sync Calls from the Aircall API, I set the transformation mode to “Normalized tabular data” and the data is well sync and written in a Snowflake in a table named “_AIRBYTE_RAW_CALLS” (“calls” is the name of my stream) where every row has a JSON blob corresponding to one record from the API (see picture 1).

However, when the JSON blobs are trying to be un-nested the tables called “CALLS”, or “CALLS_CALLS” or “CALLS_CALLS_USER” (which are the names of the nested attributes in the JSON blob), the tables are either filled with NULL values (see picture 2), or are empty (see picture 3).

At first, I had JSON schema type errors that would make the normalization fail, but now they seem to be fixed and no longer appear, without any change in the Snowflake tables…

FYI, here is the way I parse the API response:

def parse_response(self, response: requests.Response, **kwargs) -> Iterable[Mapping]:
        response_json = response.json()
        records = response_json.get("calls", [])
        yield from records

Picture 1:

image
image2882×638 242 KB

Picture 2:

image
image2870×698 159 KB

Picture 3:

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image2880×640 85.1 KB

Happy to have any help or information!!
Thanks in advance!

2

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3

Hey could help with the logs of the sync? Also if possible share a record from _raw table

4

Hi!

I found where the problem was…

The API sends, page per page, 20 values (named “calls”) + some “meta” information, with that format:
{
“calls”: a json with 20 values,
“meta”: some meta info
}
In the parse_response function, I asked Airbyte to consider only the 20 “calls” and not the meta
But didn’t change it in the json schema of the stream in the configured_catalog.json file…

So when normalizing on Snowflake, it would first wait for some data with a key named “calls” (and then some data with a key named “meta”), but couldn’t find anything since I asked Airbyte to consider only the value corresponding to the key “calls”, and not the key itself

Hence the CALLS table filled with Null values, and the empty CALLS_CALLS…

5

Got it. Can you create a github issue for this so that team can get a look into this?