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Issue Description: Unhandled Error Encountered While Syncing 'tickets_abridged' in Meltano
Problem Statement:
An unhandled error is occurring during the synchronization process of the 'tickets_abridged' data stream while transferring data from Freshdesk to Snowflake using Meltano's tap-freshdesk and target-snowflake connectors. The issue arises specifically when executing the sync operation, resulting in a FatalAPIError being raised with the associated error message.
Error Message:
raise FatalAPIError(msg)
[info] singer_sdk.exceptions.FatalAPIError: 400 Client Error: Bad Request for path: /api/v2/tickets
Detailed Description:
Upon initial execution, the data transfer process successfully moves a significant portion of the data for all other schemas and failed for tickets_abridged after moving few thousand records leading to incomplete data synchronization. Even after re-running the operation, only a fraction of the remaining data for tickets_abridged is getting transferred before encountering the same error again.
Line 1070: _sync_records() method call within core.py
Line 60: get_records() method call within streams.py
Line 397: request_records() method call within rest.py
Error Trace:
The error is raised at resp = decorated_request(prepared_request, context) within rest.py.
This ultimately leads to the FatalAPIError being raised, halting the synchronization process.
Request for Assistance:
Seeking guidance or assistance from the community or relevant stakeholders who might have encountered a similar issue or possess expertise in resolving such errors.
Additional Context:
Providing any additional information or context surrounding the issue, such as relevant configuration settings or environment details, may aid in troubleshooting and resolving the error effectively.
Conclusion:
As this issue impedes the successful synchronization of data between Freshdesk and Snowflake, prompt resolution is essential to ensure uninterrupted data flow and maintain system integrity.
Acknowledgment of Community Input:
Gratitude for any insights, suggestions, or solutions provided by the community members or project contributors in addressing this issue.
The text was updated successfully, but these errors were encountered:
Issue Description: Unhandled Error Encountered While Syncing 'tickets_abridged' in Meltano
Problem Statement:
An unhandled error is occurring during the synchronization process of the 'tickets_abridged' data stream while transferring data from Freshdesk to Snowflake using Meltano's tap-freshdesk and target-snowflake connectors. The issue arises specifically when executing the sync operation, resulting in a
FatalAPIError
being raised with the associated error message.Error Message:
Detailed Description:
Upon initial execution, the data transfer process successfully moves a significant portion of the data for all other schemas and failed for tickets_abridged after moving few thousand records leading to incomplete data synchronization. Even after re-running the operation, only a fraction of the remaining data for tickets_abridged is getting transferred before encountering the same error again.
Log Details:
/project/.meltano/extractors/tap-freshdesk/venv/lib/python3.9/site-packages/singer_sdk/streams/core.py
sync()
method call withincore.py
_sync_records()
method call withincore.py
get_records()
method call withinstreams.py
request_records()
method call withinrest.py
resp = decorated_request(prepared_request, context)
withinrest.py
.FatalAPIError
being raised, halting the synchronization process.Request for Assistance:
Seeking guidance or assistance from the community or relevant stakeholders who might have encountered a similar issue or possess expertise in resolving such errors.
Additional Context:
Providing any additional information or context surrounding the issue, such as relevant configuration settings or environment details, may aid in troubleshooting and resolving the error effectively.
Conclusion:
As this issue impedes the successful synchronization of data between Freshdesk and Snowflake, prompt resolution is essential to ensure uninterrupted data flow and maintain system integrity.
Acknowledgment of Community Input:
Gratitude for any insights, suggestions, or solutions provided by the community members or project contributors in addressing this issue.
The text was updated successfully, but these errors were encountered: