Right, so we’ve got a pipeline pulling conversation data from Genesys Cloud to Redshift via S3 staging. It’s been stable for months, but suddenly the Glue jobs are blowing up during the COPY command because the CSV structure coming from the export is shifting. I’m four coffees into debugging this and the data just isn’t landing where it should. Here is the flow we’ve got running:
[Genesys Cloud] → POST /api/v2/analytics/reporting/exports → [S3 Bucket] → [AWS Glue/PySpark] → [Redshift]
- Trigger the export via the API.
- Poll the status until the files are ready in S3.
- Run the PySpark script to validate and load into Redshift.
The Glue job is hitting a “Botch load” error because certain rows have extra delimiters or missing columns that weren’t there last week. The metadata from GET /api/v2/analytics/reporting/exports/metadata doesn’t show any changes to the export definition.
# Fragment of the Glue job failing on the COPY command
copy_query = """
COPY conversation_table
FROM 's3://analytics-staging-bucket/exports/conv_data.csv'
IAM_ROLE 'arn:aws:iam::123456789012:role/RedshiftS3Role'
CSV IGNOREHEADER 1;
"""
The logs show a Load Error: Load failed. Error: Column count mismatch on row 4502. I’ve tried checking the organization settings via GET /api/v2/analytics/reporting/settings to see if some global flag flipped, but everything looks standard. No changes were made to the Glue script or the Redshift table schema.