{"id":"6207451f0a7afbd7","repo":"jackc/pgx","slug":"struct-doesn-t-have-corresponding-row-field-s","errorCode":null,"errorMessage":"struct doesn't have corresponding row field %s","messagePattern":"struct doesn't have corresponding row field (.+?)","errorType":"validation","errorClass":null,"httpStatus":null,"severity":"error","filePath":"rows.go","lineNumber":738,"sourceCode":"\t\tcolNames: joinFieldNames(fldDescs),\n\t}\n\tif cached, ok := namedStructFieldMap.Load(key); ok {\n\t\treturn cached.(*namedStructFields), nil\n\t}\n\n\t// We could probably do two-levels of caching, where we compute the key -> fields mapping\n\t// for a type only once, cache it by type, then use that to compute the column -> fields\n\t// mapping for a given set of columns.\n\tfieldStack := make([]int, 0, 1)\n\tfields, missingField := computeNamedStructFields(\n\t\tfldDescs,\n\t\tt,\n\t\tmake([]structRowField, len(fldDescs)),\n\t\t&fieldStack,\n\t)\n\tfor i, f := range fields {\n\t\tif f.path == nil {\n\t\t\treturn nil, fmt.Errorf(\n\t\t\t\t\"struct doesn't have corresponding row field %s\",\n\t\t\t\tfldDescs[i].Name,\n\t\t\t)\n\t\t}\n\t}\n\n\tfieldsIface, _ := namedStructFieldMap.LoadOrStore(\n\t\tkey,\n\t\t&namedStructFields{fields: fields, missingField: missingField},\n\t)\n\treturn fieldsIface.(*namedStructFields), nil\n}\n\nfunc joinFieldNames(fldDescs []pgconn.FieldDescription) string {\n\tswitch len(fldDescs) {\n\tcase 0:\n\t\treturn \"\"\n\tcase 1:","sourceCodeStart":720,"sourceCodeEnd":756,"githubUrl":"https://github.com/jackc/pgx/blob/ec1a0befd22592cffffdeeb0a50311b506372f4c/rows.go#L720-L756","documentation":"Error \"struct doesn't have corresponding row field %s\" thrown in jackc/pgx.","triggerScenarios":"Thrown at rows.go:738 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"analyzedSha":"ec1a0befd22592cffffdeeb0a50311b506372f4c","analyzedAt":"2026-08-04T22:52:11.263Z","schemaVersion":2}