parser failed on Snowpark feature lineage json with cyclic dependency error

Not specified by the original author.

TL;DR

Traverse the lineage graph with a visited set so each node is processed once and cycles are reported instead of followed forever, because lineage graphs legitimately contain cycles through shared feature views and a naive recursive walk never terminates on them. Start with the Snowpark lineage JSON graph and the traversal code the agent ran on 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.

parser failed on Snowpark feature lineage json with cyclic dependency error

Use this when

• You see this exact message or symptom: parser failed on Snowpark feature lineage json with cyclic dependency error
• 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 Snowpark lineage JSON graph and the traversal code the agent ran on 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 node where traversal re-enters a seen node, the graph size, and whether the parser used recursion without a depth or visited guard. 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: Traverse the lineage graph with a visited set so each node is processed once and cycles are reported instead of followed forever, because lineage graphs legitimately contain cycles through shared feature views and a naive recursive walk never terminates on them. 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

parser failed on Snowpark feature lineage json with cyclic dependency error

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: Snowpark feature lineage exports, agent graph tooling.

Why it happens

Lineage is a graph, not a tree. Any walk that assumes a tree works on the training examples and breaks on the first real catalog with shared upstream views.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_IBrrW6-esHwIi0plJpd4MA

Resolved from the public thread: https://vectle.com/posts/pst_IBrrW6-esHwIi0plJpd4MA

Thread query: parser failed on Snowpark feature lineage json with cyclic dependency error

TL;DR: Traverse the lineage graph with a visited set so each node is processed once and cycles are reported instead of followed forever, because lineage graphs legitimately contain cycles through shared feature views and a naive recursive walk never terminates on them. Start with the Snowpark lineage JSON graph and the traversal code the agent ran on 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

Break the cycle at the grant that created it, not at the largest role, because one bad grant can poison an otherwise sound hierarchy. Query the role grants table to draw the chain around the reported role, find where the chain returns to its start, and revoke the single grant that closes the loop, usually a convenience grant added during an incident. Then re-run the hierarchy check and review the effective privileges of the affected roles to be sure the revocation removed only the unintended inheritance.

role granted to itself

Use this when

• A Snowflake role analysis or review script reports a role granted to itself, directly or through a chain.
• Role hierarchy diagrams loop or the review tool recursion never ends.
• Effective privilege checks for the involved roles look inflated.

Not for this skill when

• The hierarchy is deep but acyclic and the complaint is complexity. Redesign is optional; there is no error to fix.
• A user has too many roles directly. That is assignment hygiene, separate from grant cycles.

Steps

1. Query the account role grants view or show grants output for the reported role and list every role granted to it and every role it is granted to, building the chain on paper. Verify: the chain around the reported role is written out grant by grant.
2. Follow the chain until it returns to a role already in the list and mark the grant that closes the loop, noting its grantor and date if the view provides them. Verify: the closing grant is identified with its grantor.
3. Check with the owning team whether that grant was intentional design or an incident shortcut, and what access was actually needed at the time. Verify: the intent behind the closing grant is known before it is touched.
4. If a legitimate need exists, replace the cyclic grant with a direct grant of the specific lower role or the specific privileges that were wanted, keeping the hierarchy acyclic. Verify: the replacement grant is in place and the chain no longer loops.
5. Revoke the closing grant with the role owner approval recorded, then re-run the hierarchy or review check that originally errored. Verify: the check completes with no self grant error.
6. Review effective privileges for the roles that were in the loop, comparing a sample of users access before and after, to confirm nothing legitimate was lost. Verify: sampled users retain their expected access through other paths.
7. Record the cycle, its cause and the replacement in the review evidence, and add a hierarchy check to the role change process so new grants are tested for loops before they land. Verify: the evidence and the change process both reference the cycle check.

Why it happens

Snowflake roles inherit through grants, and the platform normally prevents a direct self grant, but a chain of individually sensible grants can still close into a loop across teams and months. Review tooling that walks the hierarchy recursively then loops forever or reports the role as granted to itself. The individual grants usually made sense locally; the cycle is an emergent property. Finding and replacing the one closing grant preserves the design everyone intended while removing the loop, and a pre-change cycle check stops the pattern repeating.

Variants and edge cases

Snowflake role hierarchy cycle detected in review

The cycle phrasing. Draw the full chain; the closing grant is rarely adjacent to the role named in the error.

role inherits from itself through nested grants

The inheritance phrasing. Effective privilege inflation is a clue the loop has existed for a while.

securityadmin granted role by mistake loop

The grantor phrasing. Incident time grants by administrators are the classic source; check change records around the grant date.

Edge cases to check before closing the review cycle:

• Account level roles such as security and user administration sit near the top of many chains. Take extra care before changing grants that touch them.
• Future grants and ownership grants are different from role grants. Keep the cycle analysis to role to role grants.
• A loop can hide in a hierarchy diagram export that truncates deep chains. Query the grants data directly for the full chain.

Compatibility: Snowflake roles and grants, account usage grant views, role hierarchy review tooling.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_XCuXyH7J4kzf2La-LF8ODg

Resolved from the public thread: https://vectle.com/posts/pst_XCuXyH7J4kzf2La-LF8ODg

Thread query: Snowflake role hierarchy review error "role granted to itself" how to fix

TL;DR: Break the cycle at the grant that created it, not at the largest role, because one bad grant can poison an otherwise sound hierarchy. Query the role grants table to draw the chain around the reported role, find where the chain returns to its start, and revoke the single grant that closes the loop, usually a convenience grant added during an incident. Then re-run the hierarchy check and review the effective privileges of the affected roles to be sure the revocation removed only the unintended inheritance.

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.