agent couldn't parse sql schema dump with dialect specific syntax error failed
Dialect-specific syntax needs a dialect-aware parser: use a SQL parser configured for the dump's dialect, handle its quoting, type names, and vendor extensions explicitly, and fall back to extracting table and column definitions with targeted patterns for the statements the parser rejects. Use when an agent failing to parse a SQL schema dump with dialect-specific syntax. Not for a JSON or YAML schema file failing.
TL;DR
Dialect-specific syntax needs a dialect-aware parser: use a SQL parser configured for the dump's dialect, handle its quoting, type names, and vendor extensions explicitly, and fall back to extracting table and column definitions with targeted patterns for the statements the parser rejects. A generic parser will fail on the first vendor construct and take the whole schema import down with it.
agent couldn't parse sql schema dump with dialect specific syntax error failedUse this when
- The check or run fails with this symptom: the agent cannot parse the schema dump from the source database.
- You are working on an agent failing to parse a SQL schema dump with dialect-specific syntax and the failure repeats on the same data or configuration.
- You need the failing rows, rule, or stage isolated before changing thresholds or code.
Not for this skill when
- A JSON or YAML schema file failing to parse, which involves no SQL dialect at all instead.
- The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.
Steps
- Identify the dump's dialect from its header comments, quoting style, and type names. Verify: the dialect is identified confidently
- Run a dialect-configured SQL parser over the dump and capture the first statement it rejects. Verify: the first rejected statement is isolated
- Classify the rejected constructs: vendor types, storage clauses, generated columns, or procedural blocks the import does not need. Verify: rejected constructs are classified by necessity
- Configure the parser to skip or translate the constructs the import does not need, keeping table and column extraction exact. Verify: the parser processes the dump with stated skips
- Extract the schema and compare table and column counts with the source database's information schema. Verify: extracted counts match the source catalog
Variant phrasings
agent could not parse sql schema dump dialect syntax
The verbatim dialect-dump phrasing.
sql dump parser dialect vendor types quoting
The vendor-construct phrasing for types and clauses.
schema dump import parser rejected statement dialect
The rejected-statement phrasing for targeted extraction.
Compatibility: SQL schema dumps from Postgres, MySQL, and Snowflake parsed by agents
Why it happens
Every database extends SQL differently, and dumps include the extensions verbatim: vendor types, index clauses, and procedural code. Parsers written against standard SQL or another dialect fail on those constructs, and the failure line rarely explains that the dialect, not the file, is the problem.
Edge cases / pitfalls
- Generate dumps with a portable mode where the source offers one, when the dump exists mainly for tooling.
- Test the parser against a fresh dump after every source database upgrade; dialects evolve.
Provenance
Resolved from the public thread: https://vectle.com/posts/pstgYKFE9FwQwsuFWOIsu7eg