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package proto
import (
"github.com/go-faster/errors"
)
// Compile-time assertions for Array.
var (
_ ColInput = NewArray[string]((*ColStr)(nil))
_ ColResult = NewArray[string]((*ColStr)(nil))
_ Column = NewArray[string]((*ColStr)(nil))
_ StateEncoder = NewArray[string]((*ColStr)(nil))
_ StateDecoder = NewArray[string]((*ColStr)(nil))
_ Inferable = NewArray[string]((*ColStr)(nil))
_ Preparable = NewArray[string]((*ColStr)(nil))
)
// Arrayable constraint specifies ability of column T to be Array(T).
type Arrayable[T any] interface {
Array() *ColArr[T]
}
// ColArr is Array(T).
type ColArr[T any] struct {
Offsets ColUInt64
Data ColumnOf[T]
}
// NewArray returns ColArr of c.
//
// Example: NewArray[string](new(ColStr))
func NewArray[T any](c ColumnOf[T]) *ColArr[T] {
return &ColArr[T]{
Data: c,
}
}
// Type returns type of array, i.e. Array(T).
func (c ColArr[T]) Type() ColumnType {
return ColumnTypeArray.Sub(c.Data.Type())
}
// Rows returns rows count.
func (c ColArr[T]) Rows() int {
return c.Offsets.Rows()
}
func (c *ColArr[T]) DecodeState(r *Reader) error {
if s, ok := c.Data.(StateDecoder); ok {
if err := s.DecodeState(r); err != nil {
return errors.Wrap(err, "data state")
}
}
return nil
}
func (c *ColArr[T]) EncodeState(b *Buffer) {
if s, ok := c.Data.(StateEncoder); ok {
s.EncodeState(b)
}
}
// Prepare ensures Preparable column propagation.
func (c *ColArr[T]) Prepare() error {
if v, ok := c.Data.(Preparable); ok {
if err := v.Prepare(); err != nil {
return errors.Wrap(err, "prepare data")
}
}
return nil
}
// Infer ensures Inferable column propagation.
func (c *ColArr[T]) Infer(t ColumnType) error {
if v, ok := c.Data.(Inferable); ok {
if err := v.Infer(t.Elem()); err != nil {
return errors.Wrap(err, "infer data")
}
}
return nil
}
// RowAppend appends i-th row to target and returns it.
func (c ColArr[T]) RowAppend(i int, target []T) []T {
var start int
end := int(c.Offsets[i])
if i > 0 {
start = int(c.Offsets[i-1])
}
for idx := start; idx < end; idx++ {
target = append(target, c.Data.Row(idx))
}
return target
}
// Row returns i-th row.
func (c ColArr[T]) Row(i int) []T {
return c.RowAppend(i, nil)
}
// DecodeColumn implements ColResult.
func (c *ColArr[T]) DecodeColumn(r *Reader, rows int) error {
if err := c.Offsets.DecodeColumn(r, rows); err != nil {
return errors.Wrap(err, "read offsets")
}
var size int
if l := len(c.Offsets); l > 0 {
// Pick last offset as total size of "elements" column.
size = int(c.Offsets[l-1])
}
if err := checkRows(size); err != nil {
return errors.Wrap(err, "array size")
}
if err := c.Data.DecodeColumn(r, size); err != nil {
return errors.Wrap(err, "decode data")
}
return nil
}
// Reset implements ColResult.
func (c *ColArr[T]) Reset() {
c.Data.Reset()
c.Offsets.Reset()
}
// EncodeColumn implements ColInput.
func (c ColArr[T]) EncodeColumn(b *Buffer) {
c.Offsets.EncodeColumn(b)
c.Data.EncodeColumn(b)
}
// Append appends new row to column.
func (c *ColArr[T]) Append(v []T) {
c.Data.AppendArr(v)
c.Offsets = append(c.Offsets, uint64(c.Data.Rows()))
}
// AppendArr appends new slice of rows to column.
func (c *ColArr[T]) AppendArr(vs [][]T) {
for _, v := range vs {
c.Data.AppendArr(v)
c.Offsets = append(c.Offsets, uint64(c.Data.Rows()))
}
}
// Result for current column.
func (c *ColArr[T]) Result(column string) ResultColumn {
return ResultColumn{Name: column, Data: c}
}
// Results return Results containing single column.
func (c *ColArr[T]) Results(column string) Results {
return Results{c.Result(column)}
}
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