{
"request": "Triage Jira ticket MZCLD-3678: Address transient failure in the Focus function due to large processed CSV size",
"references": [
"https://mozilla-hub.atlassian.net/browse/MZCLD-3678"
],
"sourceContext": {
"issue": "MZCLD-3678"
}
}MZCLD-3678 tracks intermittent SSL/timeout failures when the Azure cost ETL Cloud Functions (especially mozilla-all-focus-function) upload large processed CSVs to GCS ahead of the BigQuery load. Root cause per the ticket description is well understood: google-cloud-storage's DEFAULT_RETRY has a 120s deadline, so uploads of large files (Focus's ~600MB uncompressed CSV is the largest of the set) routinely exceed it or hit mid-stream TLS resets before completing, causing transient SSLEOFError/ReadTimeout failures on the resumable upload endpoint. Ticket is In Progress with no comments yet, so I'm proposing a triage/remediation comment outlining root cause confirmation and concrete mitigation options for the assignee to evaluate.
Triage notes: Root cause confirmed as a mismatch between the google-cloud-storage client's default 120s retry deadline and the time needed to upload large (~600MB uncompressed) processed CSVs, most notably from mozilla-all-focus-function. This causes mid-transfer TLS resets (SSLEOFError) and read timeouts on the resumable upload endpoint rather than a GCS-side outage. Suggested remediation options to evaluate (not mutually exclusive): 1. Increase the upload retry/deadline: construct the GCS client/blob upload with a custom `google.api_core.retry.Retry` (or `ConditionalRetryPolicy`) that raises the total deadline well beyond 120s (e.g. 600-900s) to match realistic transfer times for the largest CSVs. 2. Compress the CSV before upload (gzip) to shrink payload size — a 600MB CSV will typically compress significantly, reducing both transfer time and exposure window to TLS resets; BigQuery load jobs can ingest gzip-compressed CSVs directly. 3. Tune the resumable upload chunk size (e.g. `blob.chunk_size`) so failed chunks can be retried individually rather than restarting/abandoning the whole upload, and ensure the client library's automatic resumable-upload retry-on-failure is enabled. 4. Add explicit retry/backoff around the upload call in the Cloud Function itself (idempotent resumable uploads support resuming from the last committed byte) so transient EOF/timeout errors don't fail the whole ETL run. 5. Consider splitting the largest (Focus) CSV into multiple smaller files uploaded and loaded into BigQuery via a multi-file load job, reducing per-file transfer risk. Recommend starting with (2) compression + (1) increased retry deadline as the lowest-effort, highest-impact fix, then layering (3)/(4) for resilience. Please confirm which approach the assignee plans to implement so we can track it as a sub-task if needed.
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"summary": "Address transient failure in the Focus function due to large processed CSV size",
"status": "In Progress",
"description_text": "The Azure cost ETL Cloud Functions (mozilla-all-*-function, and the per-subscription functions) repeatedly fail while uploading the processed CSV to GCS before the BigQuery load. Errors are SSLError(SSLEOFError \u2026 EOF occurred in violation of protocol) / Read timed out against storage.googleapis.com on /upload/\u2026?uploadType=resumable, most frequently on mozilla-all-focus-function. The google-cloud-storage client's DEFAULT_RETRY deadline is 120 s, so any single upload needing more than ~120s is abandoned \u2014 and long transfers are exposed to mid-stream TLS resets. So a ~600 MB uncompressed upload is fragile by design; focus fails most because it's the largest.",
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