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package proto
import "github.com/go-faster/errors"
// Result of Query.
type Result interface {
DecodeResult(r *Reader, version int, b Block) error
}
// Results wrap []ResultColumn to implement Result.
type Results []ResultColumn
type autoResults struct {
results *Results
}
func (s autoResults) DecodeResult(r *Reader, version int, b Block) error {
return s.results.decodeAuto(r, version, b)
}
func (s Results) Rows() int {
if len(s) == 0 {
return 0
}
return s[0].Data.Rows()
}
func (s *Results) Auto() Result {
return autoResults{results: s}
}
func (s *Results) decodeAuto(r *Reader, version int, b Block) error {
if len(*s) > 0 {
// Already inferred.
return s.DecodeResult(r, version, b)
}
for i := 0; i < b.Columns; i++ {
columnName, err := r.Str()
if err != nil {
return errors.Wrapf(err, "column [%d] name", i)
}
columnTypeRaw, err := r.Str()
if err != nil {
return errors.Wrapf(err, "column [%d] type", i)
}
var customSerialization bool
if FeatureCustomSerialization.In(version) {
if customSerialization, err = r.Bool(); err != nil {
return errors.Wrapf(err, "column [%d] custom serialization", i)
}
if customSerialization {
// Not implemented.
return errors.Wrapf(err, "column [%d] has custom serialization (not supported)", i)
}
}
var (
colType = ColumnType(columnTypeRaw)
col = &ColAuto{}
)
if err := col.Infer(colType); err != nil {
return errors.Wrap(err, "column type inference")
}
col.Data.Reset()
if b.Rows != 0 {
if s, ok := col.Data.(Stateful); ok {
if err := s.DecodeState(r); err != nil {
return errors.Wrapf(err, "%s state", columnName)
}
}
if err := col.Data.DecodeColumn(r, b.Rows); err != nil {
return errors.Wrap(err, columnName)
}
}
*s = append(*s, ResultColumn{
Name: columnName,
Data: col.Data,
})
}
return nil
}
func (s Results) DecodeResult(r *Reader, version int, b Block) error {
var (
noTarget = len(s) == 0
noRows = b.Rows == 0
columnsMismatch = b.Columns != len(s)
allowMismatch = noTarget && noRows
)
if columnsMismatch && !allowMismatch {
return errors.Errorf("%d (columns) != %d (target)", b.Columns, len(s))
}
for i := 0; i < b.Columns; i++ {
columnName, err := r.Str()
if err != nil {
return errors.Wrapf(err, "column [%d] name", i)
}
columnType, err := r.Str()
if err != nil {
return errors.Wrapf(err, "column [%d] type", i)
}
if FeatureCustomSerialization.In(version) {
customSerialization, err := r.Bool()
if err != nil {
return errors.Wrapf(err, "column [%d] custom serialization", i)
}
if customSerialization {
// Not implemented.
return errors.Wrapf(err, "column [%d] has custom serialization (not supported)", i)
}
}
if noTarget {
// Just reading types and names.
continue
}
// Checking column name and type.
t := s[i]
if t.Name == "" {
// Inferring column name.
t.Name = columnName
s[i] = t
}
if t.Name != columnName {
return errors.Errorf("[%d]: unexpected column %q (%q expected)", i, columnName, t.Name)
}
gotType := ColumnType(columnType)
if infer, ok := t.Data.(Inferable); ok {
if err := infer.Infer(gotType); err != nil {
return errors.Wrap(err, "infer")
}
}
hasType := t.Data.Type()
if gotType.Conflicts(hasType) {
return errors.Errorf("[%d]: %s: unexpected type %q (got) instead of %q (has)",
i, columnName, gotType, hasType,
)
}
t.Data.Reset()
if b.Rows == 0 {
continue
}
if s, ok := t.Data.(StateDecoder); ok {
if err := s.DecodeState(r); err != nil {
return errors.Wrapf(err, "%s state", columnName)
}
}
if err := t.Data.DecodeColumn(r, b.Rows); err != nil {
return errors.Wrap(err, columnName)
}
}
return nil
}
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