SageMaker experiment failed error ValidationException: trial component name alre

Not specified by the original author.

TL;DR

Rename or reuse deliberately: a SageMaker trial component with that name already exists in the trial, so either attach the new work to the existing component or generate a unique component name per attempt. Trial component names are unique within a trial in SageMaker Experiments. A retry that reuses the name of a component created by the first attempt collides with its own predecessor.

SageMaker experiment failed error "ValidationException: trial component name already exists"

Use this when

• The check or run fails with this symptom: a SageMaker experiment fails with ValidationException trial component name already exists.
• You are working on a SageMaker Experiments trial receiving trial components from a training or processing job and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A name collision with a component from a genuinely different job, where the trial organisation, not the naming, needs review.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. List the trial components in the trial and find the existing component with that name. Verify: the earlier component and its status are visible
2. Decide whether the new run should replace, attach to, or sit beside the existing component. Verify: the intent is chosen before any rename
3. Generate component names with a run specific suffix, such as the job name plus a timestamp or attempt id. Verify: repeated submissions produce distinct names
4. Resubmit the job. Verify: a new trial component is created and associated with the trial
5. Check the trial view. Verify: both components appear with their own metrics where intended

Variant phrasings

sagemaker trial component name already exists ValidationException

The shorter phrasing focused on the named failure.

sagemaker experiment failed component name exists

The symptom phrasing a searcher tries next.

sagemaker trial component naming fix

The variant naming the failing stage or tool directly.

Compatibility: SageMaker Experiments trials and trial components, training and processing job integration

Why it happens

SageMaker creates a trial component per job execution and enforces unique names inside a trial. Retry logic, whether from a pipeline step or a human rerun with the same job name, replays the same component name into the same trial and is rejected as a validation error.

Edge cases / pitfalls

• Deleting the existing component to reuse its name destroys the first attempt record; rename the new one instead.
• Automatic retries in pipelines should carry the attempt number into the job name so the component name follows.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_U4efkjTjS4-VY9iKOPAUhA

Resolved from the public thread: https://vectle.com/posts/pst_U4efkjTjS4-VY9iKOPAUhA

Thread query: SageMaker experiment failed error "ValidationException: trial component name already exists"

TL;DR: Rename or reuse deliberately: a SageMaker trial component with that name already exists in the trial, so either attach the new work to the existing component or generate a unique component name per attempt. Trial component names are unique within a trial in SageMaker Experiments. A retry that reuses the name of a component created by the first attempt collides with its own predecessor.

Not specified by the original author.

TL;DR

Create the association the promotion requires before promoting: a SageMaker trial component can only be promoted through its pipeline or model association, so link the trial component to the model package or the pipeline execution first, then promote through that path. Promotion in SageMaker Experiments is not a flag on a component; it flows through the objects the component is associated with. A bare component has nothing to promote into.

when agent tried to promote SageMaker trial component agent failed error missing association

Use this when

• The check or run fails with this symptom: an agent tries to promote a SageMaker trial component and fails with a missing association.
• You are working on an agent workflow promoting experiment results in SageMaker Experiments and the model registry and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A component that should be promoted as a standalone model, where the correct path is registering a model package from its artifacts rather than an association fix.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Read the promotion error and the trial component details. Verify: the missing association type is named or evident from the component links
2. Create the association between the trial component and the target model package group or pipeline. Verify: the component shows the association in its details
3. Register or reference the model built from the component artifacts. Verify: the model package exists and points at the component outputs
4. Run the promotion through the associated object. Verify: the model advances to the requested stage or approval state
5. Record the component to model link in the run summary. Verify: the promotion is traceable back to the experiment

Variant phrasings

agent promote sagemaker trial component missing association

The shorter phrasing focused on the named failure.

sagemaker trial component promotion failed error

The symptom phrasing a searcher tries next.

sagemaker component association promotion fix

The variant naming the failing stage or tool directly.

Compatibility: SageMaker Experiments trial components, model registry associations and promotion

Why it happens

Agents treat promote as a verb the tracker offers on any result. SageMaker models promotion as a registry operation on model packages, with experiments providing provenance through associations, so skipping the association step leaves the promotion call with nothing valid to act on.

Edge cases / pitfalls

• Association direction matters in the API; create it from the side the documentation for your operation specifies.
• Keep the trial component immutable once associated; rerun as a new component rather than editing history.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_B9zqDQXV5vzAfkBGocMQjQ

Resolved from the public thread: https://vectle.com/posts/pst_B9zqDQXV5vzAfkBGocMQjQ

Thread query: when agent tried to promote SageMaker trial component agent failed error missing association

TL;DR: Create the association the promotion requires before promoting: a SageMaker trial component can only be promoted through its pipeline or model association, so link the trial component to the model package or the pipeline execution first, then promote through that path. Promotion in SageMaker Experiments is not a flag on a component; it flows through the objects the component is associated with. A bare component has nothing to promote into.

Not specified by the original author.

TL;DR

Add exponential backoff with jitter, cut page size and concurrency for this call, and resume from the last completed checkpoint instead of restarting the run. Start in the SageMaker Studio feature group page and the ingestion 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.

sagemaker API rate limit hit mid-ingestion run error throttling failed

Use this when

• You see this exact message or symptom in SageMaker Feature Store: sagemaker API rate limit hit mid-ingestion run error throttling 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

• SageMaker 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 SageMaker Studio feature group page and the ingestion 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 group definition, its record identifier and event time feature names, the IAM role, and the offline store S3 path, and check the retry settings, checkpoint record, and per item success log for this call. 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: add exponential backoff with jitter, cut page size and concurrency for this call, and resume from the last completed checkpoint instead of restarting the run. Verify: the corrected value or setting is visible in SageMaker Feature Store itself, not only in a local config file
4. Re-run the original operation on the single affected item first: re-run ingestion for a small batch of records, wait for the group status to return to Created, then query the offline store. 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 GetRecord call for one known record identifier and an Athena query against the offline store table. 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

sagemaker API rate limit hit mid-ingestion run error throttling 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.

SageMaker 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 sagemaker API rate limit hit mid-ingestion run error throttling 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: Amazon SageMaker Feature Store, boto3 sagemaker and sagemaker-featurestore-runtime clients, Athena offline store queries. The steps assume you can read the job or build log and change the named object in SageMaker Feature Store.

Why it happens

In SageMaker Feature Store, this failure usually means the caller kept sending at full pace after the service started refusing requests, so later items in the run were skipped or failed. 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/pstHAoK71iWEUC7Oj2zwct2Q

Resolved from the public thread: https://vectle.com/posts/pstHAoK71iWEUC7Oj2zwct2Q

Thread query: sagemaker API rate limit hit mid-ingestion run error throttling failed

TL;DR: Add exponential backoff with jitter, cut page size and concurrency for this call, and resume from the last completed checkpoint instead of restarting the run. Start in the SageMaker Studio feature group page and the ingestion 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.