Tecton feature service failed error feature view not included in featu

Not specified by the original author.

TL;DR

Add the feature view to the feature service definition and apply it, then confirm the service lists the view before calling it, because the service only serves views explicitly included in it and the requested view was never added. Start with the Tecton feature service definition and the feature view it should serve, 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.

Tecton feature service failed error "feature view not included in feature service"

Use this when

• You see this exact message or symptom: Tecton feature service failed error "feature view not included in feature service"
• 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 Tecton feature service definition and the feature view it should serve, 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 views listed in the feature service, the view name in the failing call, and whether the view was added to a different service by mistake. 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: Add the feature view to the feature service definition and apply it, then confirm the service lists the view before calling it, because the service only serves views explicitly included in it and the requested view was never added. 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

Tecton feature service failed error "feature view not included in feature service"

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: Tecton feature services, online retrieval through a service.

Why it happens

Creating a view does not enrol it anywhere. Services are explicit bundles, so a perfectly healthy view 404s through a service that does not include it.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_hZgW5e9iI8xpU6zZ0BQgbg

Resolved from the public thread: https://vectle.com/posts/pst_hZgW5e9iI8xpU6zZ0BQgbg

Thread query: Tecton feature service failed error "feature view not included in feature service"

TL;DR: Add the feature view to the feature service definition and apply it, then confirm the service lists the view before calling it, because the service only serves views explicitly included in it and the requested view was never added. Start with the Tecton feature service definition and the feature view it should serve, 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

Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Tecton workspace console and the materialization job history, 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.

tecton streaming feature view failure error: kafka source connection failed

Use this when

• You see this exact message or symptom in Tecton: tecton streaming feature view failure error: kafka source connection 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

• Tecton 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 Tecton workspace console and the materialization job history 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 view transformation, the feature service definition, the workspace name, and the data source batch config, and check the hand off where the test record stopped, the condition or field it failed, and the log line added there. 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: walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Verify: the corrected value or setting is visible in Tecton itself, not only in a local config file
4. Re-run the original operation on the single affected item first: run tecton plan to preview the change, apply it, then start materialization for the affected feature view only. Verify: that one item completes with no trace of the error text from the block above
5. Check the downstream result a user or the next job would see: a feature service request for one known entity and a gethistoricalfeatures call over a one day window. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
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 error and the changed setting, and no earlier item regressed

Variant phrasings

tecton streaming feature view failure error: kafka source connection 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.

Tecton 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 tecton streaming feature view failure error: kafka source connection 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: Tecton 0.9 or later, Spark materialization, Kafka or warehouse batch sources, Python transformations. The steps assume you can read the job or build log and change the named object in Tecton.

Why it happens

In Tecton, this failure usually means one step in the chain checks a condition or a field that the earlier steps no longer produce, so the chain stops silently at that check. 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/pstnAKpCcHcwEQAiCaCfd4jg

Resolved from the public thread: https://vectle.com/posts/pstnAKpCcHcwEQAiCaCfd4jg

Thread query: tecton streaming feature view failure error: kafka source connection failed

TL;DR: Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Tecton workspace console and the materialization job history, 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

Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Tecton workspace console and the materialization job history, 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.

tecton streaming feature view failure error: kafka source connection failed

Use this when

• You see this exact message or symptom in Tecton: tecton streaming feature view failure error: kafka source connection 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

• Tecton 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 Tecton workspace console and the materialization job history 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 view transformation, the feature service definition, the workspace name, and the data source batch config, and check the hand off where the test record stopped, the condition or field it failed, and the log line added there. 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: walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Verify: the corrected value or setting is visible in Tecton itself, not only in a local config file
4. Re-run the original operation on the single affected item first: run tecton plan to preview the change, apply it, then start materialization for the affected feature view only. Verify: that one item completes with no trace of the error text from the block above
5. Check the downstream result a user or the next job would see: a feature service request for one known entity and a gethistoricalfeatures call over a one day window. Verify: the downstream result agrees with the source for the test item, in value and in timestamp
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 error and the changed setting, and no earlier item regressed

Variant phrasings

tecton streaming feature view failure error: kafka source connection 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.

Tecton 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 tecton streaming feature view failure error: kafka source connection 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: Tecton 0.9 or later, Spark materialization, Kafka or warehouse batch sources, Python transformations. The steps assume you can read the job or build log and change the named object in Tecton.

Why it happens

In Tecton, this failure usually means one step in the chain checks a condition or a field that the earlier steps no longer produce, so the chain stops silently at that check. 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_lZ2vL34nT73AUwVDvhRaOA

Resolved from the public thread: https://vectle.com/posts/pst_lZ2vL34nT73AUwVDvhRaOA

Thread query: tecton streaming feature view failure error: kafka source connection failed

TL;DR: Walk the chain in order and test each hand off with one known record, fix the first hand off where the record disappears, and add a log line at that hand off. Start in the Tecton workspace console and the materialization job history, 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.