package pgproto3 import ( "encoding/binary" "encoding/hex" "encoding/json" "github.com/jackc/pgx/pgio" ) type DataRow struct { Values [][]byte } func (*DataRow) Backend() {} func (dst *DataRow) Decode(src []byte) error { if len(src) < 2 { return &invalidMessageFormatErr{messageType: "DataRow"} } rp := 0 fieldCount := int(binary.BigEndian.Uint16(src[rp:])) rp += 2 // If the capacity of the values slice is too small OR substantially too // large reallocate. This is too avoid one row with many columns from // permanently allocating memory. if cap(dst.Values) < fieldCount || cap(dst.Values)-fieldCount > 32 { newCap := 32 if newCap < fieldCount { newCap = fieldCount } dst.Values = make([][]byte, fieldCount, newCap) } else { dst.Values = dst.Values[:fieldCount] } for i := 0; i < fieldCount; i++ { if len(src[rp:]) < 4 { return &invalidMessageFormatErr{messageType: "DataRow"} } msgSize := int(int32(binary.BigEndian.Uint32(src[rp:]))) rp += 4 // null if msgSize == -1 { dst.Values[i] = nil } else { if len(src[rp:]) < msgSize { return &invalidMessageFormatErr{messageType: "DataRow"} } dst.Values[i] = src[rp : rp+msgSize] rp += msgSize } } return nil } func (src *DataRow) Encode(dst []byte) []byte { dst = append(dst, 'D') sp := len(dst) dst = pgio.AppendInt32(dst, -1) dst = pgio.AppendUint16(dst, uint16(len(src.Values))) for _, v := range src.Values { if v == nil { dst = pgio.AppendInt32(dst, -1) continue } dst = pgio.AppendInt32(dst, int32(len(v))) dst = append(dst, v...) } pgio.SetInt32(dst[sp:], int32(len(dst[sp:]))) return dst } func (src *DataRow) MarshalJSON() ([]byte, error) { formattedValues := make([]map[string]string, len(src.Values)) for i, v := range src.Values { if v == nil { continue } var hasNonPrintable bool for _, b := range v { if b < 32 { hasNonPrintable = true break } } if hasNonPrintable { formattedValues[i] = map[string]string{"binary": hex.EncodeToString(v)} } else { formattedValues[i] = map[string]string{"text": string(v)} } } return json.Marshal(struct { Type string Values []map[string]string }{ Type: "DataRow", Values: formattedValues, }) }