agent failed to detect entity key type drift between Hopsworks and serving error comparison failed
Compare the key types field by field and cast keys to one agreed type (for example string on both sides) at ingestion, because the drift check failed when the entity key is an integer in Hopsworks and a string in serving, so identical customers never match and the comparison reports phantom drift. Use when you see this exact failure: agent failed to detect entity key type drift between Hopsworks and serving error comparison failed. Not for a vendor wide outage or a different error message.
TL;DR
Compare the key types field by field and cast keys to one agreed type (for example string on both sides) at ingestion, because the drift check failed when the entity key is an integer in Hopsworks and a string in serving, so identical customers never match and the comparison reports phantom drift. Start with the Hopsworks feature group schema beside the serving layer schema for the same keys, work on one affected call, record, or run first, and prove the fix there before running the full set. Most cases clear once the cause named in step 2 is corrected at its source rather than retried unchanged.
agent failed to detect entity key type drift between Hopsworks and serving error comparison failedUse this when
- You see this exact message or symptom: agent failed to detect entity key type drift between Hopsworks and serving error comparison failed
- One run, record, call, or object is affected and you can name it
- A retry without changing anything reproduces the same result
Not for this skill when
- The system fails with a different message and none of the signals here appear
- Nothing has failed yet and you are doing first time setup or general planning
- Every service from this vendor is down for all users, which is a vendor outage to wait out first
Steps
- Reproduce the failure once using the Hopsworks feature group schema beside the serving layer schema for the same keys, and record the time, the workspace or account, and the one item it names. Verify: you have one failing item identified, not a similar older failure
- Inspect the declared key type in the feature group, the key type in the serving schema, and a sample key value encoded by each side. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
- Apply the fix at that source: Compare the key types field by field and cast keys to one agreed type (for example string on both sides) at ingestion, because the drift check failed when the entity key is an integer in Hopsworks and a string in serving, so identical customers never match and the comparison reports phantom drift. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
- Re-run the original operation on the single affected item first. Verify: that one item completes with no trace of the failure described above, and the online and offline values for that entity agree
- Check the downstream result a user or the next job would see, comparing it against the source for the same item. Verify: the downstream result agrees with the source in content and in timing
- Repeat for the full set, watch the first few items in the same log you started from, and write the root cause and the changed setting into the run notes. Verify: the full run finishes, the notes name the failure and the fix, and no earlier item regressed
Variant phrasings
agent failed to detect entity key type drift between Hopsworks and serving error comparison failed
The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the item the log or record names.
Tool-first phrasing of this failure
The phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.
Why does this keep happening after a retry
The repeat-occurrence phrasing. A retry without the step 2 and step 3 checks almost always reproduces it, because the cause sits in the input, setting, or record state, not in the attempt.
Compatibility: Hopsworks feature groups with external serving layers, key encoding checks.
Why it happens
Type drift sneaks in through a schema evolution on one side only. Values look identical when printed, which makes the mismatch invisible until keys are compared with their types attached.
Provenance
Resolved from the public thread: https://vectle.com/posts/pstq6zSAKdUb8OoGTRX-tbUQ