Trying to understand this normalization error

Hi, we have made a custom connector for the source and we’re pushing the data to Postgres.
So for every API call, we pass this form id and it pulls that in JSON and pushes it to Postgres.

this is the source file here

I have a JSON blob that gets created at the end in the postgres. But I want to understand why basic normalization is not working in this case. I’m getting an error something like this. I really can’t get much from this error. Can someone explain this?

2022-11-02 12:49:37 normalization > Running: transform-config --config destination_config.json --integration-type postgres --out /data/195/2/normalize

2022-11-02 12:49:40 normalization > Namespace(config='destination_config.json', integration_type=<DestinationType.POSTGRES: 'postgres'>, out='/data/195/2/normalize')

2022-11-02 12:49:40 normalization > transform_postgres

2022-11-02 12:49:40 normalization > Running: transform-catalog --integration-type postgres --profile-config-dir /data/195/2/normalize --catalog destination_catalog.json --out /data/195/2/normalize/models/generated/ --json-column _airbyte_data

2022-11-02 12:49:43 normalization > Processing destination_catalog.json...

2022-11-02 12:49:43 normalization > Generating airbyte_ctes/public/baseline_ig_ab1.sql from baseline_ig

2022-11-02 12:49:43 normalization > WARN: Unknown type for column properties at baseline_ig

2022-11-02 12:49:43 normalization > Generating airbyte_ctes/public/baseline_ig_ab2.sql from baseline_ig

2022-11-02 12:49:43 normalization > Generating airbyte_incremental/public/baseline_ig_stg.sql from baseline_ig

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 -

2022-11-02 12:49:43 normalization > Showing destination_catalog.json to diagnose/debug errors (1):

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 -

2022-11-02 12:49:43 normalization > {

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "streams"

2022-11-02 12:49:43 normalization > {

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "stream"

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "name"

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "json_schema"

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "type"

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "$schema"

2022-11-02 12:49:43 INFO i.a.w.n.NormalizationAirbyteStreamFactory(filterOutAndHandleNonAirbyteMessageLines):104 - "properties"

Hello there! You are receiving this message because none of your fellow community members has stepped in to respond to your topic post. (If you are a community member and you are reading this response, feel free to jump in if you have the answer!) As a result, the Community Assistance Team has been made aware of this topic and will be investigating and responding as quickly as possible.
Some important considerations that will help your to get your issue solved faster:

  • It is best to use our topic creation template; if you haven’t yet, we recommend posting a followup with the requested information. With that information the team will be able to more quickly search for similar issues with connectors and the platform and troubleshoot more quickly your specific question or problem.
  • Make sure to upload the complete log file; a common investigation roadblock is that sometimes the error for the issue happens well before the problem is surfaced to the user, and so having the tail of the log is less useful than having the whole log to scan through.
  • Be as descriptive and specific as possible; when investigating it is extremely valuable to know what steps were taken to encounter the issue, what version of connector / platform / Java / Python / docker / k8s was used, etc. The more context supplied, the quicker the investigation can start on your topic and the faster we can drive towards an answer.
  • We in the Community Assistance Team are glad you’ve made yourself part of our community, and we’ll do our best to answer your questions and resolve the problems as quickly as possible. Expect to hear from a specific team member as soon as possible.

Thank you for your time and attention.
Best,
The Community Assistance Team