data
schema_error
ai_generated
true
SchemaColumnConvertNotSupportedException: column type mismatch
ID: data/parquet-column-mismatch
80%Fix Rate
84%Confidence
3Evidence
2023-01-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| any | active | — | — | — |
Root Cause
Parquet file schema doesnt match reader schema.
genericWorkarounds
-
88% success Use mergeSchema option: spark.read.option("mergeSchema","true")
-
90% success Align schemas before writing with explicit cast
Dead Ends
Common approaches that don't work:
-
Force read with ignoreCorruptFiles
82% fail
Silently drops data
-
Rewrite all parquet files to new schema
70% fail
Very expensive for large datasets