agent failed to parse Hopsworks feature view json after schema version bum

Not specified by the original author.

TL;DR

Update the agent parser to the new schema version, reading fields by name with defaults for added fields instead of positional parsing, because a schema version bump renamed or added fields in the feature view JSON and the old parser fails on the new shape. Start with the Hopsworks feature view JSON the agent received and the API version that produced it, 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 parse Hopsworks feature view json after schema version bump error parse failed

Use this when

• You see this exact message or symptom: agent failed to parse Hopsworks feature view json after schema version bump error parse 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

1. Reproduce the failure once using the Hopsworks feature view JSON the agent received and the API version that produced it, 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
2. Inspect the schema version field in the JSON, an example of the new shape beside the old one, and which exact key the parser raised on. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Update the agent parser to the new schema version, reading fields by name with defaults for added fields instead of positional parsing, because a schema version bump renamed or added fields in the feature view JSON and the old parser fails on the new shape. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. 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
5. 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
6. 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 parse Hopsworks feature view json after schema version bump error parse 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 REST API responses, agent tooling that parses feature view JSON.

Why it happens

The data did not corrupt; the contract moved. Parsers that index by position or require an exact key set break on the first added field, while name based parsing with defaults survives routine version bumps.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_wZD2-SVNLYsTKPgoioobdA

Resolved from the public thread: https://vectle.com/posts/pst_wZD2-SVNLYsTKPgoioobdA

Thread query: agent failed to parse Hopsworks feature view json after schema version bump error parse failed

TL;DR: Update the agent parser to the new schema version, reading fields by name with defaults for added fields instead of positional parsing, because a schema version bump renamed or added fields in the feature view JSON and the old parser fails on the new shape. Start with the Hopsworks feature view JSON the agent received and the API version that produced it, 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.

Not specified by the original author.

TL;DR

Recreate the feature view with an explicit primary key list that matches the entity join keys of the underlying feature groups, because the online query builder refuses a view with no primary keys to look rows up by. Start with the Hopsworks feature view definition and the online query builder, 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.

Hopsworks online store query failed error "SQLException: feature view has no primary keys"

Use this when

• You see this exact message or symptom: Hopsworks online store query failed error "SQLException: feature view has no primary keys"
• 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

1. Reproduce the failure once using the Hopsworks feature view definition and the online query builder, 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
2. Inspect the feature view creation call, its primary key argument, and the join keys on each source feature group. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Recreate the feature view with an explicit primary key list that matches the entity join keys of the underlying feature groups, because the online query builder refuses a view with no primary keys to look rows up by. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. 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
5. 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
6. 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

Hopsworks online store query failed error "SQLException: feature view has no primary keys"

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 3.x and 4.x, feature views over one or more feature groups, online store queries from the Python client.

Why it happens

A feature view without primary keys is valid offline but unusable online: the generated SQL has no WHERE key to bind, so the JDBC layer raises SQLException at query build time, not at view creation time.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_FMdrkn66t70nECiS33pTpA

Resolved from the public thread: https://vectle.com/posts/pst_FMdrkn66t70nECiS33pTpA

Thread query: Hopsworks online store query failed error "SQLException: feature view has no primary keys"

TL;DR: Recreate the feature view with an explicit primary key list that matches the entity join keys of the underlying feature groups, because the online query builder refuses a view with no primary keys to look rows up by. Start with the Hopsworks feature view definition and the online query builder, 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.

Not specified by the original author.

TL;DR

Pin the production job to the same feature store library version and the same registered feature definitions the notebook used, and stop reading local definition files in production, because the code is identical but the environment is not: the job resolves different definitions or an older client against the registry. Start with the production job environment next to the notebook environment, package versions first, 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.

feature view works in notebook but fails in production job with same code failure

Use this when

• You see this exact message or symptom: feature view works in notebook but fails in production job with same code failure
• 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

1. Reproduce the failure once using the production job environment next to the notebook environment, package versions first, 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
2. Inspect library versions in both environments, which registry each one reads, and whether the job imports local feature definitions instead of fetching registered ones. Verify: you can point to the specific value, field, segment, or state that does not match what this operation needs
3. Apply the fix at that source: Pin the production job to the same feature store library version and the same registered feature definitions the notebook used, and stop reading local definition files in production, because the code is identical but the environment is not: the job resolves different definitions or an older client against the registry. Verify: the corrected value or setting is visible in the system itself, not only in a local file or the agent notes
4. 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
5. 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
6. 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

feature view works in notebook but fails in production job with same code failure

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: Feast, Tecton, and Hopsworks jobs moved from notebook to Airflow or a container scheduler.

Why it happens

Notebooks iterate against local files and a fresh client; production jobs run a pinned image and the registry. The first divergence, often a renamed field or an older client, only appears under the job identity and schedule.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstkl3mgol1xXtx2xhzYtD6Q

Resolved from the public thread: https://vectle.com/posts/pstkl3mgol1xXtx2xhzYtD6Q

Thread query: feature view works in notebook but fails in production job with same code failure

TL;DR: Pin the production job to the same feature store library version and the same registered feature definitions the notebook used, and stop reading local definition files in production, because the code is identical but the environment is not: the job resolves different definitions or an older client against the registry. Start with the production job environment next to the notebook environment, package versions first, 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 ra