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column_buffer.go
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column_buffer.go
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package parquet
import (
"bytes"
"fmt"
"io"
"sort"
"unsafe"
"github.com/segmentio/parquet-go/deprecated"
"github.com/segmentio/parquet-go/encoding/plain"
"github.com/segmentio/parquet-go/internal/bitpack"
"github.com/segmentio/parquet-go/internal/unsafecast"
"github.com/segmentio/parquet-go/sparse"
)
// ColumnBuffer is an interface representing columns of a row group.
//
// ColumnBuffer implements sort.Interface as a way to support reordering the
// rows that have been written to it.
//
// The current implementation has a limitation which prevents applications from
// providing custom versions of this interface because it contains unexported
// methods. The only way to create ColumnBuffer values is to call the
// NewColumnBuffer of Type instances. This limitation may be lifted in future
// releases.
type ColumnBuffer interface {
// Exposes a read-only view of the column buffer.
ColumnChunk
// The column implements ValueReaderAt as a mechanism to read values at
// specific locations within the buffer.
ValueReaderAt
// The column implements ValueWriter as a mechanism to optimize the copy
// of values into the buffer in contexts where the row information is
// provided by the values because the repetition and definition levels
// are set.
ValueWriter
// For indexed columns, returns the underlying dictionary holding the column
// values. If the column is not indexed, nil is returned.
Dictionary() Dictionary
// Returns a copy of the column. The returned copy shares no memory with
// the original, mutations of either column will not modify the other.
Clone() ColumnBuffer
// Returns the column as a Page.
Page() Page
// Clears all rows written to the column.
Reset()
// Returns the current capacity of the column (rows).
Cap() int
// Returns the number of rows currently written to the column.
Len() int
// Compares rows at index i and j and reports whether i < j.
Less(i, j int) bool
// Swaps rows at index i and j.
Swap(i, j int)
// Returns the size of the column buffer in bytes.
Size() int64
// This method is employed to write rows from arrays of Go values into the
// column buffer. The method is currently unexported because it uses unsafe
// APIs which would be difficult for applications to leverage, increasing
// the risk of introducing bugs in the code. As a consequence, applications
// cannot use custom implementations of the ColumnBuffer interface since
// they cannot declare an unexported method that would match this signature.
// It means that in order to create a ColumnBuffer value, programs need to
// go through a call to NewColumnBuffer on a Type instance. We make this
// trade off for now as it is preferrable to optimize for safety over
// extensibility in the public APIs, we might revisit in the future if we
// learn about valid use cases for custom column buffer types.
writeValues(rows sparse.Array, levels columnLevels)
}
type columnLevels struct {
repetitionDepth byte
repetitionLevel byte
definitionLevel byte
}
func columnIndexOfNullable(base ColumnBuffer, maxDefinitionLevel byte, definitionLevels []byte) ColumnIndex {
return &nullableColumnIndex{
ColumnIndex: base.ColumnIndex(),
maxDefinitionLevel: maxDefinitionLevel,
definitionLevels: definitionLevels,
}
}
type nullableColumnIndex struct {
ColumnIndex
maxDefinitionLevel byte
definitionLevels []byte
}
func (index *nullableColumnIndex) NullPage(i int) bool {
return index.NullCount(i) == int64(len(index.definitionLevels))
}
func (index *nullableColumnIndex) NullCount(i int) int64 {
return int64(countLevelsNotEqual(index.definitionLevels, index.maxDefinitionLevel))
}
type nullOrdering func(column ColumnBuffer, i, j int, maxDefinitionLevel, definitionLevel1, definitionLevel2 byte) bool
func nullsGoFirst(column ColumnBuffer, i, j int, maxDefinitionLevel, definitionLevel1, definitionLevel2 byte) bool {
if definitionLevel1 != maxDefinitionLevel {
return definitionLevel2 == maxDefinitionLevel
} else {
return definitionLevel2 == maxDefinitionLevel && column.Less(i, j)
}
}
func nullsGoLast(column ColumnBuffer, i, j int, maxDefinitionLevel, definitionLevel1, definitionLevel2 byte) bool {
return definitionLevel1 == maxDefinitionLevel && (definitionLevel2 != maxDefinitionLevel || column.Less(i, j))
}
// reversedColumnBuffer is an adapter of ColumnBuffer which inverses the order
// in which rows are ordered when the column gets sorted.
//
// This type is used when buffers are constructed with sorting columns ordering
// values in descending order.
type reversedColumnBuffer struct{ ColumnBuffer }
func (col *reversedColumnBuffer) Less(i, j int) bool { return col.ColumnBuffer.Less(j, i) }
// optionalColumnBuffer is an implementation of the ColumnBuffer interface used
// as a wrapper to an underlying ColumnBuffer to manage the creation of
// definition levels.
//
// Null values are not written to the underlying column; instead, the buffer
// tracks offsets of row values in the column, null row values are represented
// by the value -1 and a definition level less than the max.
//
// This column buffer type is used for all leaf columns that have a non-zero
// max definition level and a zero repetition level, which may be because the
// column or one of its parent(s) are marked optional.
type optionalColumnBuffer struct {
base ColumnBuffer
reordered bool
maxDefinitionLevel byte
rows []int32
sortIndex []int32
definitionLevels []byte
nullOrdering nullOrdering
}
func newOptionalColumnBuffer(base ColumnBuffer, maxDefinitionLevel byte, nullOrdering nullOrdering) *optionalColumnBuffer {
n := base.Cap()
return &optionalColumnBuffer{
base: base,
maxDefinitionLevel: maxDefinitionLevel,
rows: make([]int32, 0, n),
definitionLevels: make([]byte, 0, n),
nullOrdering: nullOrdering,
}
}
func (col *optionalColumnBuffer) Clone() ColumnBuffer {
return &optionalColumnBuffer{
base: col.base.Clone(),
reordered: col.reordered,
maxDefinitionLevel: col.maxDefinitionLevel,
rows: append([]int32{}, col.rows...),
definitionLevels: append([]byte{}, col.definitionLevels...),
nullOrdering: col.nullOrdering,
}
}
func (col *optionalColumnBuffer) Type() Type {
return col.base.Type()
}
func (col *optionalColumnBuffer) NumValues() int64 {
return int64(len(col.definitionLevels))
}
func (col *optionalColumnBuffer) ColumnIndex() ColumnIndex {
return columnIndexOfNullable(col.base, col.maxDefinitionLevel, col.definitionLevels)
}
func (col *optionalColumnBuffer) OffsetIndex() OffsetIndex {
return col.base.OffsetIndex()
}
func (col *optionalColumnBuffer) BloomFilter() BloomFilter {
return col.base.BloomFilter()
}
func (col *optionalColumnBuffer) Dictionary() Dictionary {
return col.base.Dictionary()
}
func (col *optionalColumnBuffer) Column() int {
return col.base.Column()
}
func (col *optionalColumnBuffer) Pages() Pages {
return onePage(col.Page())
}
func (col *optionalColumnBuffer) Page() Page {
// No need for any cyclic sorting if the rows have not been reordered.
// This case is also important because the cyclic sorting modifies the
// buffer which makes it unsafe to read the buffer concurrently.
if col.reordered {
numNulls := countLevelsNotEqual(col.definitionLevels, col.maxDefinitionLevel)
numValues := len(col.rows) - numNulls
if numValues > 0 {
if cap(col.sortIndex) < numValues {
col.sortIndex = make([]int32, numValues)
}
sortIndex := col.sortIndex[:numValues]
i := 0
for _, j := range col.rows {
if j >= 0 {
sortIndex[j] = int32(i)
i++
}
}
// Cyclic sort: O(N)
for i := range sortIndex {
for j := int(sortIndex[i]); i != j; j = int(sortIndex[i]) {
col.base.Swap(i, j)
sortIndex[i], sortIndex[j] = sortIndex[j], sortIndex[i]
}
}
}
i := 0
for _, r := range col.rows {
if r >= 0 {
col.rows[i] = int32(i)
i++
}
}
col.reordered = false
}
return newOptionalPage(col.base.Page(), col.maxDefinitionLevel, col.definitionLevels)
}
func (col *optionalColumnBuffer) Reset() {
col.base.Reset()
col.rows = col.rows[:0]
col.definitionLevels = col.definitionLevels[:0]
}
func (col *optionalColumnBuffer) Size() int64 {
return int64(4*len(col.rows)+4*len(col.sortIndex)+len(col.definitionLevels)) + col.base.Size()
}
func (col *optionalColumnBuffer) Cap() int { return cap(col.rows) }
func (col *optionalColumnBuffer) Len() int { return len(col.rows) }
func (col *optionalColumnBuffer) Less(i, j int) bool {
return col.nullOrdering(
col.base,
int(col.rows[i]),
int(col.rows[j]),
col.maxDefinitionLevel,
col.definitionLevels[i],
col.definitionLevels[j],
)
}
func (col *optionalColumnBuffer) Swap(i, j int) {
// Because the underlying column does not contain null values, we cannot
// swap its values at indexes i and j. We swap the row indexes only, then
// reorder the underlying buffer using a cyclic sort when the buffer is
// materialized into a page view.
col.reordered = true
col.rows[i], col.rows[j] = col.rows[j], col.rows[i]
col.definitionLevels[i], col.definitionLevels[j] = col.definitionLevels[j], col.definitionLevels[i]
}
func (col *optionalColumnBuffer) WriteValues(values []Value) (n int, err error) {
rowIndex := int32(col.base.Len())
for n < len(values) {
// Collect index range of contiguous null values, from i to n. If this
// for loop exhausts the values, all remaining if statements and for
// loops will be no-ops and the loop will terminate.
i := n
for n < len(values) && values[n].definitionLevel != col.maxDefinitionLevel {
n++
}
// Write the contiguous null values up until the first non-null value
// obtained in the for loop above.
for _, v := range values[i:n] {
col.rows = append(col.rows, -1)
col.definitionLevels = append(col.definitionLevels, v.definitionLevel)
}
// Collect index range of contiguous non-null values, from i to n.
i = n
for n < len(values) && values[n].definitionLevel == col.maxDefinitionLevel {
n++
}
// As long as i < n we have non-null values still to write. It is
// possible that we just exhausted the input values in which case i == n
// and the outer for loop will terminate.
if i < n {
count, err := col.base.WriteValues(values[i:n])
col.definitionLevels = appendLevel(col.definitionLevels, col.maxDefinitionLevel, count)
for count > 0 {
col.rows = append(col.rows, rowIndex)
rowIndex++
count--
}
if err != nil {
return n, err
}
}
}
return n, nil
}
func (col *optionalColumnBuffer) writeValues(rows sparse.Array, levels columnLevels) {
// The row count is zero when writing an null optional value, in which case
// we still need to output a row to the buffer to record the definition
// level.
if rows.Len() == 0 {
col.definitionLevels = append(col.definitionLevels, levels.definitionLevel)
col.rows = append(col.rows, -1)
return
}
col.definitionLevels = appendLevel(col.definitionLevels, levels.definitionLevel, rows.Len())
i := len(col.rows)
j := len(col.rows) + rows.Len()
if j <= cap(col.rows) {
col.rows = col.rows[:j]
} else {
tmp := make([]int32, j, 2*j)
copy(tmp, col.rows)
col.rows = tmp
}
if levels.definitionLevel != col.maxDefinitionLevel {
broadcastValueInt32(col.rows[i:], -1)
} else {
broadcastRangeInt32(col.rows[i:], int32(col.base.Len()))
col.base.writeValues(rows, levels)
}
}
func (col *optionalColumnBuffer) ReadValuesAt(values []Value, offset int64) (int, error) {
length := int64(len(col.definitionLevels))
if offset < 0 {
return 0, errRowIndexOutOfBounds(offset, length)
}
if offset >= length {
return 0, io.EOF
}
if length -= offset; length < int64(len(values)) {
values = values[:length]
}
numNulls1 := int64(countLevelsNotEqual(col.definitionLevels[:offset], col.maxDefinitionLevel))
numNulls2 := int64(countLevelsNotEqual(col.definitionLevels[offset:offset+length], col.maxDefinitionLevel))
if numNulls2 < length {
n, err := col.base.ReadValuesAt(values[:length-numNulls2], offset-numNulls1)
if err != nil {
return n, err
}
}
if numNulls2 > 0 {
columnIndex := ^int16(col.Column())
i := numNulls2 - 1
j := length - 1
definitionLevels := col.definitionLevels[offset : offset+length]
maxDefinitionLevel := col.maxDefinitionLevel
for n := len(definitionLevels) - 1; n >= 0 && j > i; n-- {
if definitionLevels[n] != maxDefinitionLevel {
values[j] = Value{definitionLevel: definitionLevels[n], columnIndex: columnIndex}
} else {
values[j] = values[i]
i--
}
j--
}
}
return int(length), nil
}
// repeatedColumnBuffer is an implementation of the ColumnBuffer interface used
// as a wrapper to an underlying ColumnBuffer to manage the creation of
// repetition levels, definition levels, and map rows to the region of the
// underlying buffer that contains their sequence of values.
//
// Null values are not written to the underlying column; instead, the buffer
// tracks offsets of row values in the column, null row values are represented
// by the value -1 and a definition level less than the max.
//
// This column buffer type is used for all leaf columns that have a non-zero
// max repetition level, which may be because the column or one of its parent(s)
// are marked repeated.
type repeatedColumnBuffer struct {
base ColumnBuffer
reordered bool
maxRepetitionLevel byte
maxDefinitionLevel byte
rows []offsetMapping
repetitionLevels []byte
definitionLevels []byte
buffer []Value
reordering *repeatedColumnBuffer
nullOrdering nullOrdering
}
// The offsetMapping type maps the logical offset of rows within the repetition
// and definition levels, to the base offsets in the underlying column buffers
// where the non-null values have been written.
type offsetMapping struct {
offset uint32
baseOffset uint32
}
func newRepeatedColumnBuffer(base ColumnBuffer, maxRepetitionLevel, maxDefinitionLevel byte, nullOrdering nullOrdering) *repeatedColumnBuffer {
n := base.Cap()
return &repeatedColumnBuffer{
base: base,
maxRepetitionLevel: maxRepetitionLevel,
maxDefinitionLevel: maxDefinitionLevel,
rows: make([]offsetMapping, 0, n/8),
repetitionLevels: make([]byte, 0, n),
definitionLevels: make([]byte, 0, n),
nullOrdering: nullOrdering,
}
}
func (col *repeatedColumnBuffer) Clone() ColumnBuffer {
return &repeatedColumnBuffer{
base: col.base.Clone(),
reordered: col.reordered,
maxRepetitionLevel: col.maxRepetitionLevel,
maxDefinitionLevel: col.maxDefinitionLevel,
rows: append([]offsetMapping{}, col.rows...),
repetitionLevels: append([]byte{}, col.repetitionLevels...),
definitionLevels: append([]byte{}, col.definitionLevels...),
nullOrdering: col.nullOrdering,
}
}
func (col *repeatedColumnBuffer) Type() Type {
return col.base.Type()
}
func (col *repeatedColumnBuffer) NumValues() int64 {
return int64(len(col.definitionLevels))
}
func (col *repeatedColumnBuffer) ColumnIndex() ColumnIndex {
return columnIndexOfNullable(col.base, col.maxDefinitionLevel, col.definitionLevels)
}
func (col *repeatedColumnBuffer) OffsetIndex() OffsetIndex {
return col.base.OffsetIndex()
}
func (col *repeatedColumnBuffer) BloomFilter() BloomFilter {
return col.base.BloomFilter()
}
func (col *repeatedColumnBuffer) Dictionary() Dictionary {
return col.base.Dictionary()
}
func (col *repeatedColumnBuffer) Column() int {
return col.base.Column()
}
func (col *repeatedColumnBuffer) Pages() Pages {
return onePage(col.Page())
}
func (col *repeatedColumnBuffer) Page() Page {
if col.reordered {
if col.reordering == nil {
col.reordering = col.Clone().(*repeatedColumnBuffer)
}
column := col.reordering
column.Reset()
maxNumValues := 0
defer func() {
clearValues(col.buffer[:maxNumValues])
}()
baseOffset := 0
for _, row := range col.rows {
rowOffset := int(row.offset)
rowLength := repeatedRowLength(col.repetitionLevels[rowOffset:])
numNulls := countLevelsNotEqual(col.definitionLevels[rowOffset:rowOffset+rowLength], col.maxDefinitionLevel)
numValues := rowLength - numNulls
if numValues > 0 {
if numValues > cap(col.buffer) {
col.buffer = make([]Value, numValues)
} else {
col.buffer = col.buffer[:numValues]
}
n, err := col.base.ReadValuesAt(col.buffer, int64(row.baseOffset))
if err != nil && n < numValues {
return newErrorPage(col.Type(), col.Column(), "reordering rows of repeated column: %w", err)
}
if _, err := column.base.WriteValues(col.buffer); err != nil {
return newErrorPage(col.Type(), col.Column(), "reordering rows of repeated column: %w", err)
}
if numValues > maxNumValues {
maxNumValues = numValues
}
}
column.rows = append(column.rows, offsetMapping{
offset: uint32(len(column.repetitionLevels)),
baseOffset: uint32(baseOffset),
})
column.repetitionLevels = append(column.repetitionLevels, col.repetitionLevels[rowOffset:rowOffset+rowLength]...)
column.definitionLevels = append(column.definitionLevels, col.definitionLevels[rowOffset:rowOffset+rowLength]...)
baseOffset += numValues
}
col.swapReorderingBuffer(column)
col.reordered = false
}
return newRepeatedPage(
col.base.Page(),
col.maxRepetitionLevel,
col.maxDefinitionLevel,
col.repetitionLevels,
col.definitionLevels,
)
}
func (col *repeatedColumnBuffer) swapReorderingBuffer(buf *repeatedColumnBuffer) {
col.base, buf.base = buf.base, col.base
col.rows, buf.rows = buf.rows, col.rows
col.repetitionLevels, buf.repetitionLevels = buf.repetitionLevels, col.repetitionLevels
col.definitionLevels, buf.definitionLevels = buf.definitionLevels, col.definitionLevels
}
func (col *repeatedColumnBuffer) Reset() {
col.base.Reset()
col.rows = col.rows[:0]
col.repetitionLevels = col.repetitionLevels[:0]
col.definitionLevels = col.definitionLevels[:0]
}
func (col *repeatedColumnBuffer) Size() int64 {
return int64(8*len(col.rows)+len(col.repetitionLevels)+len(col.definitionLevels)) + col.base.Size()
}
func (col *repeatedColumnBuffer) Cap() int { return cap(col.rows) }
func (col *repeatedColumnBuffer) Len() int { return len(col.rows) }
func (col *repeatedColumnBuffer) Less(i, j int) bool {
row1 := col.rows[i]
row2 := col.rows[j]
less := col.nullOrdering
row1Length := repeatedRowLength(col.repetitionLevels[row1.offset:])
row2Length := repeatedRowLength(col.repetitionLevels[row2.offset:])
for k := 0; k < row1Length && k < row2Length; k++ {
x := int(row1.baseOffset)
y := int(row2.baseOffset)
definitionLevel1 := col.definitionLevels[int(row1.offset)+k]
definitionLevel2 := col.definitionLevels[int(row2.offset)+k]
switch {
case less(col.base, x, y, col.maxDefinitionLevel, definitionLevel1, definitionLevel2):
return true
case less(col.base, y, x, col.maxDefinitionLevel, definitionLevel2, definitionLevel1):
return false
}
}
return row1Length < row2Length
}
func (col *repeatedColumnBuffer) Swap(i, j int) {
// Because the underlying column does not contain null values, and may hold
// an arbitrary number of values per row, we cannot swap its values at
// indexes i and j. We swap the row indexes only, then reorder the base
// column buffer when its view is materialized into a page by creating a
// copy and writing rows back to it following the order of rows in the
// repeated column buffer.
col.reordered = true
col.rows[i], col.rows[j] = col.rows[j], col.rows[i]
}
func (col *repeatedColumnBuffer) WriteValues(values []Value) (numValues int, err error) {
maxRowLen := 0
defer func() {
clearValues(col.buffer[:maxRowLen])
}()
for i := 0; i < len(values); {
j := i
if values[j].repetitionLevel == 0 {
j++
}
for j < len(values) && values[j].repetitionLevel != 0 {
j++
}
if err := col.writeRow(values[i:j]); err != nil {
return numValues, err
}
if len(col.buffer) > maxRowLen {
maxRowLen = len(col.buffer)
}
numValues += j - i
i = j
}
return numValues, nil
}
func (col *repeatedColumnBuffer) writeRow(row []Value) error {
col.buffer = col.buffer[:0]
for _, v := range row {
if v.definitionLevel == col.maxDefinitionLevel {
col.buffer = append(col.buffer, v)
}
}
baseOffset := col.base.NumValues()
if len(col.buffer) > 0 {
if _, err := col.base.WriteValues(col.buffer); err != nil {
return err
}
}
if row[0].repetitionLevel == 0 {
col.rows = append(col.rows, offsetMapping{
offset: uint32(len(col.repetitionLevels)),
baseOffset: uint32(baseOffset),
})
}
for _, v := range row {
col.repetitionLevels = append(col.repetitionLevels, v.repetitionLevel)
col.definitionLevels = append(col.definitionLevels, v.definitionLevel)
}
return nil
}
func (col *repeatedColumnBuffer) writeValues(row sparse.Array, levels columnLevels) {
if levels.repetitionLevel == 0 {
col.rows = append(col.rows, offsetMapping{
offset: uint32(len(col.repetitionLevels)),
baseOffset: uint32(col.base.NumValues()),
})
}
if row.Len() == 0 {
col.repetitionLevels = append(col.repetitionLevels, levels.repetitionLevel)
col.definitionLevels = append(col.definitionLevels, levels.definitionLevel)
return
}
col.repetitionLevels = appendLevel(col.repetitionLevels, levels.repetitionLevel, row.Len())
col.definitionLevels = appendLevel(col.definitionLevels, levels.definitionLevel, row.Len())
if levels.definitionLevel == col.maxDefinitionLevel {
col.base.writeValues(row, levels)
}
}
func (col *repeatedColumnBuffer) ReadValuesAt(values []Value, offset int64) (int, error) {
// TODO:
panic("NOT IMPLEMENTED")
}
// repeatedRowLength gives the length of the repeated row starting at the
// beginning of the repetitionLevels slice.
func repeatedRowLength(repetitionLevels []byte) int {
// If a repetition level exists, at least one value is required to represent
// the column.
if len(repetitionLevels) > 0 {
// The subsequent levels will represent the start of a new record when
// they go back to zero.
if i := bytes.IndexByte(repetitionLevels[1:], 0); i >= 0 {
return i + 1
}
}
return len(repetitionLevels)
}
// =============================================================================
// The types below are in-memory implementations of the ColumnBuffer interface
// for each parquet type.
//
// These column buffers are created by calling NewColumnBuffer on parquet.Type
// instances; each parquet type manages to construct column buffers of the
// appropriate type, which ensures that we are packing as many values as we
// can in memory.
//
// See Type.NewColumnBuffer for details about how these types get created.
// =============================================================================
type booleanColumnBuffer struct{ booleanPage }
func newBooleanColumnBuffer(typ Type, columnIndex int16, numValues int32) *booleanColumnBuffer {
// Boolean values are bit-packed, we can fit up to 8 values per byte.
bufferSize := (numValues + 7) / 8
return &booleanColumnBuffer{
booleanPage: booleanPage{
typ: typ,
bits: make([]byte, 0, bufferSize),
columnIndex: ^columnIndex,
},
}
}
func (col *booleanColumnBuffer) Clone() ColumnBuffer {
return &booleanColumnBuffer{
booleanPage: booleanPage{
typ: col.typ,
bits: append([]byte{}, col.bits...),
offset: col.offset,
numValues: col.numValues,
columnIndex: col.columnIndex,
},
}
}
func (col *booleanColumnBuffer) ColumnIndex() ColumnIndex {
return booleanColumnIndex{&col.booleanPage}
}
func (col *booleanColumnBuffer) OffsetIndex() OffsetIndex {
return booleanOffsetIndex{&col.booleanPage}
}
func (col *booleanColumnBuffer) BloomFilter() BloomFilter { return nil }
func (col *booleanColumnBuffer) Dictionary() Dictionary { return nil }
func (col *booleanColumnBuffer) Pages() Pages { return onePage(col.Page()) }
func (col *booleanColumnBuffer) Page() Page { return &col.booleanPage }
func (col *booleanColumnBuffer) Reset() {
col.bits = col.bits[:0]
col.offset = 0
col.numValues = 0
}
func (col *booleanColumnBuffer) Cap() int { return 8 * cap(col.bits) }
func (col *booleanColumnBuffer) Len() int { return int(col.numValues) }
func (col *booleanColumnBuffer) Less(i, j int) bool {
a := col.valueAt(i)
b := col.valueAt(j)
return a != b && !a
}
func (col *booleanColumnBuffer) valueAt(i int) bool {
j := uint32(i) / 8
k := uint32(i) % 8
return ((col.bits[j] >> k) & 1) != 0
}
func (col *booleanColumnBuffer) setValueAt(i int, v bool) {
// `offset` is always zero in the page of a column buffer
j := uint32(i) / 8
k := uint32(i) % 8
x := byte(0)
if v {
x = 1
}
col.bits[j] = (col.bits[j] & ^(1 << k)) | (x << k)
}
func (col *booleanColumnBuffer) Swap(i, j int) {
a := col.valueAt(i)
b := col.valueAt(j)
col.setValueAt(i, b)
col.setValueAt(j, a)
}
func (col *booleanColumnBuffer) WriteBooleans(values []bool) (int, error) {
col.writeValues(sparse.MakeBoolArray(values).UnsafeArray(), columnLevels{})
return len(values), nil
}
func (col *booleanColumnBuffer) WriteValues(values []Value) (int, error) {
var model Value
col.writeValues(makeArrayValue(values, unsafe.Offsetof(model.u64)), columnLevels{})
return len(values), nil
}
func (col *booleanColumnBuffer) writeValues(rows sparse.Array, _ columnLevels) {
numBytes := bitpack.ByteCount(uint(col.numValues) + uint(rows.Len()))
if cap(col.bits) < numBytes {
col.bits = append(make([]byte, 0, max(numBytes, 2*cap(col.bits))), col.bits...)
}
col.bits = col.bits[:numBytes]
i := 0
r := 8 - (int(col.numValues) % 8)
bytes := rows.Uint8Array()
if r <= bytes.Len() {
// First we attempt to write enough bits to align the number of values
// in the column buffer on 8 bytes. After this step the next bit should
// be written at the zero'th index of a byte of the buffer.
if r < 8 {
var b byte
for i < r {
v := bytes.Index(i)
b |= (v & 1) << uint(i)
i++
}
x := uint(col.numValues) / 8
y := uint(col.numValues) % 8
col.bits[x] = (b << y) | (col.bits[x] & ^(0xFF << y))
col.numValues += int32(i)
}
if n := ((bytes.Len() - i) / 8) * 8; n > 0 {
// At this stage, we know that that we have at least 8 bits to write
// and the bits will be aligned on the address of a byte in the
// output buffer. We can work on 8 values per loop iteration,
// packing them into a single byte and writing it to the output
// buffer. This effectively reduces by 87.5% the number of memory
// stores that the program needs to perform to generate the values.
i += sparse.GatherBits(col.bits[col.numValues/8:], bytes.Slice(i, i+n))
col.numValues += int32(n)
}
}
for i < bytes.Len() {
x := uint(col.numValues) / 8
y := uint(col.numValues) % 8
b := bytes.Index(i)
col.bits[x] = ((b & 1) << y) | (col.bits[x] & ^(1 << y))
col.numValues++
i++
}
col.bits = col.bits[:bitpack.ByteCount(uint(col.numValues))]
}
func (col *booleanColumnBuffer) ReadValuesAt(values []Value, offset int64) (n int, err error) {
i := int(offset)
switch {
case i < 0:
return 0, errRowIndexOutOfBounds(offset, int64(col.numValues))
case i >= int(col.numValues):
return 0, io.EOF
default:
for n < len(values) && i < int(col.numValues) {
values[n] = col.makeValue(col.valueAt(i))
n++
i++
}
if n < len(values) {
err = io.EOF
}
return n, err
}
}
type int32ColumnBuffer struct{ int32Page }
func newInt32ColumnBuffer(typ Type, columnIndex int16, numValues int32) *int32ColumnBuffer {
return &int32ColumnBuffer{
int32Page: int32Page{
typ: typ,
values: make([]int32, 0, numValues),
columnIndex: ^columnIndex,
},
}
}
func (col *int32ColumnBuffer) Clone() ColumnBuffer {
return &int32ColumnBuffer{
int32Page: int32Page{
typ: col.typ,
values: append([]int32{}, col.values...),
columnIndex: col.columnIndex,
},
}
}
func (col *int32ColumnBuffer) ColumnIndex() ColumnIndex { return int32ColumnIndex{&col.int32Page} }
func (col *int32ColumnBuffer) OffsetIndex() OffsetIndex { return int32OffsetIndex{&col.int32Page} }
func (col *int32ColumnBuffer) BloomFilter() BloomFilter { return nil }
func (col *int32ColumnBuffer) Dictionary() Dictionary { return nil }
func (col *int32ColumnBuffer) Pages() Pages { return onePage(col.Page()) }
func (col *int32ColumnBuffer) Page() Page { return &col.int32Page }
func (col *int32ColumnBuffer) Reset() { col.values = col.values[:0] }
func (col *int32ColumnBuffer) Cap() int { return cap(col.values) }
func (col *int32ColumnBuffer) Len() int { return len(col.values) }
func (col *int32ColumnBuffer) Less(i, j int) bool { return col.values[i] < col.values[j] }
func (col *int32ColumnBuffer) Swap(i, j int) {
col.values[i], col.values[j] = col.values[j], col.values[i]
}
func (col *int32ColumnBuffer) Write(b []byte) (int, error) {
if (len(b) % 4) != 0 {
return 0, fmt.Errorf("cannot write INT32 values from input of size %d", len(b))
}
col.values = append(col.values, unsafecast.BytesToInt32(b)...)
return len(b), nil
}
func (col *int32ColumnBuffer) WriteInt32s(values []int32) (int, error) {
col.values = append(col.values, values...)
return len(values), nil
}
func (col *int32ColumnBuffer) WriteValues(values []Value) (int, error) {
var model Value
col.writeValues(makeArrayValue(values, unsafe.Offsetof(model.u64)), columnLevels{})
return len(values), nil
}
func (col *int32ColumnBuffer) writeValues(rows sparse.Array, _ columnLevels) {
if n := len(col.values) + rows.Len(); n > cap(col.values) {
col.values = append(make([]int32, 0, max(n, 2*cap(col.values))), col.values...)
}
n := len(col.values)
col.values = col.values[:n+rows.Len()]
sparse.GatherInt32(col.values[n:], rows.Int32Array())
}
func (col *int32ColumnBuffer) ReadValuesAt(values []Value, offset int64) (n int, err error) {
i := int(offset)
switch {
case i < 0:
return 0, errRowIndexOutOfBounds(offset, int64(len(col.values)))
case i >= len(col.values):
return 0, io.EOF
default:
for n < len(values) && i < len(col.values) {
values[n] = col.makeValue(col.values[i])
n++
i++
}
if n < len(values) {
err = io.EOF
}
return n, err
}
}
type int64ColumnBuffer struct{ int64Page }
func newInt64ColumnBuffer(typ Type, columnIndex int16, numValues int32) *int64ColumnBuffer {
return &int64ColumnBuffer{
int64Page: int64Page{
typ: typ,
values: make([]int64, 0, numValues),