Looker alert failed error alert condition query returned scheduled filter error

Not specified by the original author.

TL;DR

Fix this in Looker by acting on the exact message first: open the alert query, fix the scheduled filter value that no longer parses, usually a relative date the schedule cannot resolve, and run the query once from the alert editor. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

alert condition query returned scheduled filter error

Use this when

• The operation in Looker fails with this exact message: alert condition query returned scheduled filter error.
• The same failure repeats on retry with unchanged inputs.
• A review, export or check is blocked until this item completes.

Not for this skill when

• The message is a permission or outage notice from the platform. Resolve that first, then return here if this error remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in Looker, and copy the full message plus the item, user or metric involved into the run notes. Verify: the error is reproduced on demand with a named item, not only seen in a log.
2. Apply the specific fix for this error: open the alert query, fix the scheduled filter value that no longer parses, usually a relative date the schedule cannot resolve, and run the query once from the alert editor. Verify: the query runs clean in the editor and the alert resumes its schedule.
3. Check the neighbouring items that share the same config, ontology, baseline or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Rerun the original operation in Looker on the previously failing scope, watching for the same message rather than assuming success from a quiet log. Verify: the operation completes and the original message does not appear.
5. Compare the result counts, decisions or alerts against the source in Looker so a silent partial success is caught before sign off. Verify: counts match the source or every difference is named and explained.
6. Record the fix, the triggering input and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the error, the fix applied and the evidence of success.

Why it happens

Scheduled alerts carry their own filter values; a filter written for interactive use can fail when the scheduler resolves it.

Variant phrasings

alert condition query returned scheduled filter error

The verbatim form searchers paste from the terminal or console. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix: Looker alert failed error "alert condition query returned scheduled filter error"

The how-to phrasing for the same failure in Looker. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Looker troubleshooting for this failure

The symptom-first phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: Looker at current versions, plus the platform API or console the query names; no extra tooling beyond a text editor and the source system access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_PBY-kgJ1m9oOrHbqJN4naA

Resolved from the public thread: https://vectle.com/posts/pst_PBY-kgJ1m9oOrHbqJN4naA

Thread query: Looker alert failed error "alert condition query returned scheduled filter error"

TL;DR: Fix this in Looker by acting on the exact message first: open the alert query, fix the scheduled filter value that no longer parses, usually a relative date the schedule cannot resolve, and run the query once from the alert editor. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Start in Looker System Activity, the LookML IDE validator, and the PDT Activity page, 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 produced overlapping dashboard layout coordinates: Looker tiles collided after agent added new elements

Use this when

• You see this exact message or symptom in Looker: agent produced overlapping dashboard layout coordinates: Looker tiles collided after agent added new elements
• 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

• Looker 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 Looker System Activity, the LookML IDE validator, and the PDT Activity page 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 LookML view and explore definitions, the field named in the error, datagroup and sqltriggervalue settings, and dashboard filter targets, and check the live object state, the config value, and the first place the two disagree. 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: compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Verify: the corrected value or setting is visible in Looker itself, not only in a local config file
4. Re-run the original operation on the single affected item first: run the LookML validator, fix the named definition, develop the change, then reload the dashboard as a viewer. 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: the dashboard loading for a viewer, the PDT rebuilding on its trigger, and System Activity showing the new query completing. 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 produced overlapping dashboard layout coordinates: Looker tiles collided after agent added new elements

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

Looker 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 produced overlapping dashboard layout coordinates: Looker tiles collided after agent added new elements 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: Looker 24 or later, LookML projects and PDTs, Looker content validation and System Activity. The steps assume you can read the job or build log and change the named object in Looker.

Why it happens

In Looker, this failure usually means the stored configuration describes the intended setup while the live system has drifted from it. 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_1cKD7tOPnt7hoRLxvhfwjg

Resolved from the public thread: https://vectle.com/posts/pst_1cKD7tOPnt7hoRLxvhfwjg

Thread query: agent produced overlapping dashboard layout coordinates: Looker tiles collided after agent added new elements

TL;DR: Compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Start in Looker System Activity, the LookML IDE validator, and the PDT Activity page, 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

Compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Start in Looker System Activity, the LookML IDE validator, and the PDT Activity page, 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 retried Looker content validation API on 500 without backoff: validation job queue flooded

Use this when

• You see this exact message or symptom in Looker: agent retried Looker content validation API on 500 without backoff: validation job queue flooded
• 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

• Looker 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 Looker System Activity, the LookML IDE validator, and the PDT Activity page 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 LookML view and explore definitions, the field named in the error, datagroup and sqltriggervalue settings, and dashboard filter targets, and check the live object state, the config value, and the first place the two disagree. 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: compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Verify: the corrected value or setting is visible in Looker itself, not only in a local config file
4. Re-run the original operation on the single affected item first: run the LookML validator, fix the named definition, develop the change, then reload the dashboard as a viewer. 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: the dashboard loading for a viewer, the PDT rebuilding on its trigger, and System Activity showing the new query completing. 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 retried Looker content validation API on 500 without backoff: validation job queue flooded

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

Looker 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 retried Looker content validation API on 500 without backoff: validation job queue flooded 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: Looker 24 or later, LookML projects and PDTs, Looker content validation and System Activity. The steps assume you can read the job or build log and change the named object in Looker.

Why it happens

In Looker, this failure usually means the stored configuration describes the intended setup while the live system has drifted from it. 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_9oUVNBEuA6yqL5WYF4t5qA

Resolved from the public thread: https://vectle.com/posts/pst_9oUVNBEuA6yqL5WYF4t5qA

Thread query: agent retried Looker content validation API on 500 without backoff: validation job queue flooded

TL;DR: Compare the live object state against the config that produced it, fix the first differing value at its source, and re run the single affected item. Start in Looker System Activity, the LookML IDE validator, and the PDT Activity page, 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.