'error serializing dict to json and writing to bigquery
This is the dictionary I have
my_dict1 = {'jobId': dict_values(['banned_phrase_model_', 'spica_4', 'spica_create_event1', 'spica_create_event2'])}
And I am trying insert this dictionary into bigquery table after serializing to json using the code below.
from google.cloud import bigquery
import json
from pydantic.json import pydantic_encoder
client1 = Clients.get_client(ClientType.BIGQUERY, name='x')
toJSON = json.dumps(my_dict1, default=pydantic_encoder).encode("utf-8")
data = json.loads(toJSON)
err1 = client1.insert_rows(table,[data])
print(err1)
The table in bigquery is one column jobId (STRING). The error I am getting is "TypeError: Object of type 'dict_values' is not JSON serializable". I tried using the function in the stackoverflow link as well. How to serialize Python dict to JSON Still it did not work. Please let me know your thoughts. Thanks.
Solution 1:[1]
The error is because python doesn't know how to represent SomeObject.
In this case you can validate the format of my_dict1. You can see this example
{"class":{"students":[{"id":5},{"id":12}]}}
Another option is to verify the type of the table schema in this case is STRING , for this field should be RECORD type or REPEATED.
You can see this example:
- id
- first_name
- last_name
- dob (date of birth)
- addresses (a nested and repeated field)
- addresses.status (current or previous)
- addresses.address
- addresses.city
- addresses.state
- addresses.zip
- addresses.numberOfYears (years at the address)
The JSON looks like this
{"id":"1","first_name":"John","last_name":"Doe","dob":"1968-01-22","addresses":[{"status":"current","address":"123 First Avenue","city":"Seattle","state":"WA","zip":"11111","numberOfYears":"1"},{"status":"previous","address":"456 Main Street","city":"Portland","state":"OR","zip":"22222","numberOfYears":"5"}]}
{"id":"2","first_name":"Jane","last_name":"Doe","dob":"1980-10-16","addresses":[{"status":"current","address":"789 Any Avenue","city":"New York","state":"NY","zip":"33333","numberOfYears":"2"},{"status":"previous","address":"321 Main Street","city":"Hoboken","state":"NJ","zip":"44444","numberOfYears":"3"}]}
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Raul Saucedo |
