{"record":{"id":"9f971df43e8e817b","repo":"apache/flink","slug":"failed-to-find-related-parquet-column-descriptor-w","errorCode":null,"errorMessage":"Failed to find related Parquet column descriptor with type {}","messagePattern":"Failed to find related Parquet column descriptor with type (.+?)","errorType":"validation","errorClass":"InvalidSchemaException","httpStatus":null,"severity":"error","filePath":"flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/vector/ParquetSplitReaderUtil.java","lineNumber":302,"sourceCode":"                throw new UnsupportedOperationException(\"Unsupported type: \" + type);\n        }\n    }\n\n    private static List<ColumnDescriptor> getAllColumnDescriptorByType(\n            int depth, Type type, List<ColumnDescriptor> columns) throws ParquetRuntimeException {\n        List<ColumnDescriptor> res = new ArrayList<>();\n        for (ColumnDescriptor descriptor : columns) {\n            if (depth >= descriptor.getPath().length) {\n                throw new InvalidSchemaException(\"Corrupted Parquet schema\");\n            }\n            if (type.getName().equals(descriptor.getPath()[depth])) {\n                res.add(descriptor);\n            }\n        }\n\n        // If doesn't find the type descriptor in corresponding depth, throw exception\n        if (res.isEmpty()) {\n            throw new InvalidSchemaException(\n                    \"Failed to find related Parquet column descriptor with type \" + type);\n        }\n        return res;\n    }\n\n    public static ColumnReader createColumnReader(\n            boolean isUtcTimestamp,\n            LogicalType fieldType,\n            Type type,\n            List<ColumnDescriptor> columnDescriptors,\n            PageReadStore pages,\n            ParquetField field,\n            int depth)\n            throws IOException {\n        List<ColumnDescriptor> descriptors =\n                getAllColumnDescriptorByType(depth, type, columnDescriptors);\n        switch (fieldType.getTypeRoot()) {\n            case BOOLEAN:","sourceCodeStart":284,"sourceCodeEnd":320,"githubUrl":"https://github.com/apache/flink/blob/2f3c205e9266cb30240eb7f4fdab15cad629a70f/flink-formats/flink-parquet/src/main/java/org/apache/flink/formats/parquet/vector/ParquetSplitReaderUtil.java#L284-L320","documentation":"InvalidSchemaException from getAllColumnDescriptorByType in ParquetSplitReaderUtil: after scanning all ColumnDescriptors at the given depth, none has a path element equal to the requested type's name, so the logical field cannot be bound to any physical Parquet column. It is the nested-schema analogue of the top-level 'does not exist' error.","triggerScenarios":"Resolving a nested field (inside row/array/map) whose name does not match any column path element at that depth - e.g. table declares row<f0 INT, g1 INT> but the file's nested group contains only f0; or case-sensitive mismatch of nested names.","commonSituations":"Renamed or reordered nested fields after schema evolution; hand-written DDL that guesses nested field names; case differences in nested field names between writer and reader.","solutions":["Inspect the file's full nested schema with parquet-tools and correct the table DDL (nested field names must match the file)","Regenerate or rewrite files whose nested structure drifted from the table definition","Avoid projecting the mismatched nested subfield if it is not required"],"exampleFix":null,"handlingStrategy":"validation","validationCode":"// check each nested field name resolves at its depth in the file schema\nfor (int i = 0; i < requested.getFieldCount(); i++) {\n    String[] p = requested.getPaths().get(i);\n    if (!fileSchema.containsPath(p)) {\n        throw new IllegalStateException(\"Nested column not found in file: \" + Arrays.toString(p));\n    }\n}","typeGuard":null,"tryCatchPattern":"catch (InvalidSchemaException e) { if (e.getMessage().contains(\"Failed to find related Parquet column descriptor\")) { /* fix nested field names in DDL */ } else throw e; }","preventionTips":["Name nested row fields identically in DDL and writer schema","Avoid renaming nested fields during schema evolution without rewriting files"],"tags":["parquet","schema","nested-types","column-not-found","flink"],"backgroundTag":null,"analyzedSha":"2f3c205e9266cb30240eb7f4fdab15cad629a70f","analyzedAt":"2026-08-14T08:48:24.518Z","schemaVersion":2},"datasetVersion":"2026-08-14T10:17:34.591Z"}