cxone_scim_python handles the bulk payload construction pretty cleanly, so let’s walk through exactly why your user POST is failing. First, the script pushes operation_type: "create" references and user attribute matrices to /api/v2/users/bulk, but the identity service rejects the batch once the payload hits the 50-user limit or trips the dependency order checking.
Then, the atomic POST operation should trigger an automatic rollback if the format verification fails, yet the webhook callbacks just log a 422 Unprocessable Entity instead of rolling back the transaction. I’ve got the execution validation logic wired up to track latency and success rates, but the error isolation pipeline can’t catch the partial updates during scaling.
Problem
- The 422 Unprocessable Entity response on the atomic bulk POST usually stems from payload size mismatches. The CXone SCIM endpoint enforces a strict transaction boundary. When the batch exceeds the threshold, the service won’t commit any records. The validation layer catches malformed schemas or missing
userName fields. Halts the whole transaction. It’s pretty messy if the batch trips over itself during peak ingestion.
Code
- Split the user array into batches of 40 to stay safely under the 50-user hard limit. The extra headroom prevents timeout issues. Validate SCIM schema compliance before sending the payload. Missing required attributes like
active will trigger the atomic rollback immediately. Instrument the response status with New Relic custom events. Capturing the 422 error payload helps track rollback frequency across different org environments.
import requests
def chunk_users(user_list, chunk_size=40):
return [user_list[i:i + chunk_size] for i in range(0, len(user_list), chunk_size)]
def submit_bulk_users(auth_token, user_chunks):
headers = {
"Authorization": f"Bearer {auth_token}",
"Content-Type": "application/json"
}
for idx, chunk in enumerate(user_chunks):
payload = {
"users": [
{
"operation": "create",
"schemas": ["urn:ietf:params:scim:schemas:core:2.0:User"],
"userName": u["email"],
"name": {"givenName": u["first"], "familyName": u["last"]},
"active": True
} for u in chunk
]
}
response = requests.post(
"https://api.mypurecloud.com/api/v2/users/bulk",
headers=headers,
json=payload
)
if response.status_code == 422:
print(f"Chunk {idx} failed: {response.json().get('errors', [])}")
send_custom_event("GC_BulkUser_Failure", {"chunk_id": idx, "errors": response.json()})
Error
- The backend returns a
validation_error array when the atomic transaction fails. Dependency order checking trips if a user role references a group that hasn’t been provisioned yet. The rollback mechanism discards all records in the batch to maintain data consistency. NRQL queries can surface these failures by filtering on EventType = 'GC_BulkUser_Failure' and grouping by chunk_id.
the suggestion above nails the transaction boundary issue. when you push a 50-user batch, the validation layer locks the whole payload until every field passes. if one userName is missing or the email format trips, the atomic rollback fires and you’ll hit that 422.
the identity service holds the connection open during validation, which chokes api throughput during peak concurrent call volumes. it’s blocking other threads. try splitting the batch into chunks of 12 users. ran a quick jmeter test to watch the queue drain.
<ThreadGroup>
<stringProp name="ThreadGroup.num_threads">40</stringProp>
<stringProp name="ThreadGroup.ramp_time">15</stringProp>
<boolProp name="ThreadGroup.same_user_on_next_iteration">false</boolProp>
</ThreadGroup>
keep the timeout at 200ms. simulating 50 concurrent call volumes, and it’s holding steady at 45 req/sec api throughput once the batch size drops. payload structure matters more than thread count anyway.
BATCH_LIMIT = 12
SCIM_ENDPOINT = "https://myinstance.nicecxone.com/api/v2/scim/v1/Users"
for i in range(0, len(user_data), BATCH_LIMIT):
chunk = user_data[i : i + BATCH_LIMIT]
payload = {"Operations": chunk}
response = requests.post(SCIM_ENDPOINT, json=payload, headers=AUTH_HEADERS)
if response.status_code != 200:
print(f"Failed chunk {i//BATCH_LIMIT}: {response.text}")
Splitting the payload fixed the 422 response. The atomic rollback fires when the batch hits that threshold. Setting BATCH_LIMIT to 12 keeps the transaction boundary safe. You’ll notice the SCIM endpoint processes the chunks without locking the identity service. Make sure your AUTH_HEADERS include the correct bearer token. The KEY CONFIGURATIONS like schema version must match exactly. Don’t forget to check the status code on each chunk. The rollback won’t tell you which user failed. Just watch the response text.