agent hallucinating entity keys during online store lookup error lookup failed

Not specified by the original author.

TL;DR

List the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Start in the feature store registry, the materialization job history, and the online store metrics, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

agent hallucinating entity keys during online store lookup error lookup failed

Use this when

• You see this exact message or symptom in generic feature store: agent hallucinating entity keys during online store lookup error lookup failed
• One run, record, build, or object is affected and you can name it
• A retry without changing anything reproduces the same text

Not for this skill when

• generic feature store 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 in the feature store registry, the materialization job history, and the online store metrics and search the log or history for the exact text in the block above, recording the time, the workspace or project, and the one object it names. Verify: you have one failing run or object identified, not a similar older failure
2. Inspect the feature definition, entity key type, event timestamp column, TTL, and the online and offline store config, and check the source listing the agent worked from, the rejection rule for unlisted names, and the evidence attached to each value. Verify: you can point to the specific value, field, or identity that does not match what this operation needs
3. Apply the fix at that source: list the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Verify: the corrected value or setting is visible in generic feature store itself, not only in a local config file
4. Re-run the original operation on the single affected item first: re-run materialization for one feature view and a short time window before attempting the full range. Verify: that one item completes with no trace of the error text from the block above
5. Put a guardrail on the agent run before widening it: cap retries and runtime for this step, require the agent to cite the record it acted on, and stop the run if the same item fails twice with the same text. Verify: a deliberately repeated failure stops the run and is reported instead of looping or being marked as success
6. Check the downstream result a user or the next job would see: an online lookup for one known entity and an offline historical query for the same entity and timestamp. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
7. 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 error and the changed setting, and no earlier item regressed

Variant phrasings

agent hallucinating entity keys during online store lookup error lookup failed

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the object the log names.

generic feature store version of this failure

The tool-first phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does agent hallucinating entity keys during online store lookup error lookup failed 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 object state, not in the attempt.

Compatibility: Feast, Tecton, Databricks, SageMaker, or Vertex feature stores in current releases, warehouse offline store, Redis or DynamoDB online store. The steps assume you can read the job or build log and change the named object in generic feature store.

Why it happens

In generic feature store, this failure usually means the agent produced names or values from its own text instead of reading them from the source system, so nothing downstream could validate them. The visible message is raised at the point where the bad state is consumed, which is rarely where it was created, so fixing the message text or retrying the last step changes nothing. Correcting the state at its source, then re-running one item and comparing the downstream result against the source, is what separates a real fix from a run that only looks successful.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_qVje8MXLI8VjcwID-Pabjg

Resolved from the public thread: https://vectle.com/posts/pst_qVje8MXLI8VjcwID-Pabjg

Thread query: agent hallucinating entity keys during online store lookup error lookup failed

TL;DR: List the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Start in the feature store registry, the materialization job history, and the online store metrics, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

Not specified by the original author.

TL;DR

List the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Start in the feature store registry, the materialization job history, and the online store metrics, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

agent hallucinating entity keys during online store lookup error lookup failed

Use this when

• You see this exact message or symptom in generic feature store: agent hallucinating entity keys during online store lookup error lookup failed
• One run, record, build, or object is affected and you can name it
• A retry without changing anything reproduces the same text

Not for this skill when

• generic feature store 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 in the feature store registry, the materialization job history, and the online store metrics and search the log or history for the exact text in the block above, recording the time, the workspace or project, and the one object it names. Verify: you have one failing run or object identified, not a similar older failure
2. Inspect the feature definition, entity key type, event timestamp column, TTL, and the online and offline store config, and check the source listing the agent worked from, the rejection rule for unlisted names, and the evidence attached to each value. Verify: you can point to the specific value, field, or identity that does not match what this operation needs
3. Apply the fix at that source: list the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Verify: the corrected value or setting is visible in generic feature store itself, not only in a local config file
4. Re-run the original operation on the single affected item first: re-run materialization for one feature view and a short time window before attempting the full range. Verify: that one item completes with no trace of the error text from the block above
5. Put a guardrail on the agent run before widening it: cap retries and runtime for this step, require the agent to cite the record it acted on, and stop the run if the same item fails twice with the same text. Verify: a deliberately repeated failure stops the run and is reported instead of looping or being marked as success
6. Check the downstream result a user or the next job would see: an online lookup for one known entity and an offline historical query for the same entity and timestamp. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
7. 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 error and the changed setting, and no earlier item regressed

Variant phrasings

agent hallucinating entity keys during online store lookup error lookup failed

The subject-first phrasing of the same failure. The fix is the same, start at step 1 and confirm the object the log names.

generic feature store version of this failure

The tool-first phrasing searchers use once they know which system raised it. It is the same underlying problem, not a separate bug.

Why does agent hallucinating entity keys during online store lookup error lookup failed 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 object state, not in the attempt.

Compatibility: Feast, Tecton, Databricks, SageMaker, or Vertex feature stores in current releases, warehouse offline store, Redis or DynamoDB online store. The steps assume you can read the job or build log and change the named object in generic feature store.

Why it happens

In generic feature store, this failure usually means the agent produced names or values from its own text instead of reading them from the source system, so nothing downstream could validate them. The visible message is raised at the point where the bad state is consumed, which is rarely where it was created, so fixing the message text or retrying the last step changes nothing. Correcting the state at its source, then re-running one item and comparing the downstream result against the source, is what separates a real fix from a run that only looks successful.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstxf9JUcDzyX0bsraomaxww

Resolved from the public thread: https://vectle.com/posts/pstxf9JUcDzyX0bsraomaxww

Thread query: agent hallucinating entity keys during online store lookup error lookup failed

TL;DR: List the real objects from the source system first, reject any name or value that is not in that listing, and require a link or record id as evidence before marking the step complete. Start in the feature store registry, the materialization job history, and the online store metrics, work on one affected item, and prove the fix there before running the full set. Most cases of this failure clear once the value named in step 2 is corrected at its source rather than retried.

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.