Data Guard Example Pack

This starter pack is designed to work with the built-in example row struct:

• Example Item Stats Row
• native type name: FDataGuardFeature1TestRow

Included files:

• Example_ItemStats_Valid.csv
• Example_ItemStats_Large.csv
• Example_ItemStats_Unicode.csv
• Example_ItemStats_SpreadsheetExport.csv
• Example_ItemStats_DuplicateKeys.csv
• Example_ItemStats_DuplicateHeader.csv
• Example_ItemStats_Schema.json
• Example_ItemStats_Overlay.json
• Example_ItemStats_Broken.csv
• Example_ItemStats_AllInvalid.csv
• Example_ItemStats_BrokenSchema.json
• Example_ItemStats_BrokenOverlay.json
• Example_WideDataset_Valid.csv
• Example_WideDataset_Schema.json

Suggested first runs

1. Struct-only
   • Choose struct: Example Item Stats Row
   • Choose CSV: Example_ItemStats_Valid.csv
2. JSON Schema
   • Choose CSV: Example_ItemStats_Valid.csv
   • Choose schema JSON: Example_ItemStats_Schema.json
3. Struct + JSON Rules
   • Choose struct: Example Item Stats Row
   • Choose CSV: Example_ItemStats_Valid.csv
   • Choose overlay JSON: Example_ItemStats_Overlay.json

Expected result:

• all three workflows should validate successfully
• the CSV should be importable into a DataTable that uses Example Item Stats Row

Suggested failure runs

1. Struct-only partial or mixed validation example using Example_ItemStats_Broken.csv
2. Struct-only full failure example using Example_ItemStats_AllInvalid.csv
3. JSON Schema setup failure using Example_ItemStats_BrokenSchema.json
4. Struct + JSON Rules overlay failure using Example_ItemStats_BrokenOverlay.json

Production-readiness checks

• Large CSV quick check: Example_ItemStats_Large.csv
• Wide CSV quick check: Example_WideDataset_Valid.csv
• Unicode CSV quick check: Example_ItemStats_Unicode.csv
• Spreadsheet-export CSV quick check: Example_ItemStats_SpreadsheetExport.csv
• Duplicate-key CSV quick check: Example_ItemStats_DuplicateKeys.csv
• Malformed-header CSV quick check: Example_ItemStats_DuplicateHeader.csv