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parquet.go
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parquet.go
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package parquet
import (
"context"
"encoding/binary"
"fmt"
"io"
"io/ioutil"
"strings"
"github.com/apache/thrift/lib/go/thrift"
sch "github.com/parsyl/parquet/schema"
)
// Field holds the type information for a parquet column
type Field struct {
Name string
Path []string
Types []int
Type FieldFunc
RepetitionType FieldFunc
}
// Page keeps track of metadata for each ColumnChunk
type Page struct {
// N is the number of values in the ColumnChunk
N int
Size int
Offset int64
Codec sch.CompressionCodec
}
type schema struct {
fields []Field
lookup map[string]sch.SchemaElement
}
func (s schema) schema() (int64, []*sch.SchemaElement) {
out := make([]*sch.SchemaElement, 0, len(s.fields)+1)
out = append(out, &sch.SchemaElement{
Name: "root",
})
var children int32
var z int32
m := map[string]*sch.SchemaElement{}
for _, f := range s.fields {
if len(f.Path) > 1 {
for i, name := range f.Path[:len(f.Path)-1] {
par, ok := m[name]
if !ok {
children++
parts := strings.Split(name, ".")
rt := sch.FieldRepetitionType(f.Types[i])
par = &sch.SchemaElement{
Name: parts[len(parts)-1],
RepetitionType: &rt,
NumChildren: &z,
}
out = append(out, par)
}
n := *par.NumChildren
n++
par.NumChildren = &n
m[name] = par
}
} else if len(f.Path) == 1 {
children++
}
se := &sch.SchemaElement{
Name: f.Path[len(f.Path)-1],
TypeLength: &z,
Scale: &z,
Precision: &z,
FieldID: &z,
}
f.Type(se)
f.RepetitionType(se)
out = append(out, se)
}
out[0].NumChildren = &children
return int64(len(s.fields)), out
}
// Metadata keeps track of the things that need to
// be kept track of in order to write the FileMetaData
// at the end of the parquet file.
type Metadata struct {
ts *thrift.TSerializer
schema schema
docs int64
pageDocs int64
rowGroupDocs int64
rowGroups []RowGroup
metadata *sch.FileMetaData
}
// Stats is passed in by each column's call to DoWrite
type Stats interface {
NullCount() *int64
DistinctCount() *int64
Min() []byte
Max() []byte
}
// New returns a Metadata struct and reads the first row group
// into memory.
func New(fields ...Field) *Metadata {
ts := thrift.NewTSerializer()
ts.Protocol = thrift.NewTCompactProtocolFactory().GetProtocol(ts.Transport)
m := &Metadata{
ts: ts,
schema: schemaElements(fields),
}
m.StartRowGroup(fields...)
return m
}
// StartRowGroup is called when starting a new row group
func (m *Metadata) StartRowGroup(fields ...Field) {
m.rowGroupDocs = 0
m.rowGroups = append(m.rowGroups, RowGroup{
fields: schemaElements(fields),
columns: make(map[string]sch.ColumnChunk),
})
}
// NextDoc keeps track of how many documents have been
// added to this parquet file. The final value of m.docs
// is used for the FileMetaData.NumRows
func (m *Metadata) NextDoc() {
m.docs++
m.rowGroupDocs++
m.pageDocs++
}
// RowGroups returns a summary of each schema.RowGroup
func (m *Metadata) RowGroups() []RowGroup {
rgs := make([]RowGroup, len(m.metadata.RowGroups))
for i, rg := range m.metadata.RowGroups {
rgs[i] = RowGroup{
rowGroup: *rg,
Rows: rg.NumRows,
}
}
return rgs
}
// WritePageHeader is called in order to finish writing to a column chunk.
func (m *Metadata) WritePageHeader(w io.Writer, pth []string, dataLen, compressedLen, defCount, count int, defLen, repLen int64, comp sch.CompressionCodec, stats Stats) error {
ph := &sch.PageHeader{
Type: sch.PageType_DATA_PAGE,
UncompressedPageSize: int32(dataLen),
CompressedPageSize: int32(compressedLen),
DataPageHeader: &sch.DataPageHeader{
NumValues: int32(count),
Encoding: sch.Encoding_PLAIN,
DefinitionLevelEncoding: sch.Encoding_RLE,
RepetitionLevelEncoding: sch.Encoding_RLE,
Statistics: &sch.Statistics{
NullCount: stats.NullCount(),
DistinctCount: stats.DistinctCount(),
MinValue: stats.Min(),
MaxValue: stats.Max(),
},
},
}
m.pageDocs = 0
buf, err := m.ts.Write(context.TODO(), ph)
if err != nil {
return err
}
if err := m.updateRowGroup(pth, dataLen, compressedLen, len(buf), count, comp); err != nil {
return err
}
_, err = w.Write(buf)
return err
}
func (m *Metadata) updateRowGroup(pth []string, dataLen, compressedLen, headerLen, count int, comp sch.CompressionCodec) error {
i := len(m.rowGroups)
if i == 0 {
return fmt.Errorf("no row groups, you must call StartRowGroup at least once")
}
rg := m.rowGroups[i-1]
rg.rowGroup.NumRows = m.rowGroupDocs
err := rg.updateColumnChunk(pth, dataLen+headerLen, compressedLen+headerLen, count, m.schema, comp)
m.rowGroups[i-1] = rg
return err
}
func columnType(col string, fields schema) (sch.Type, error) {
f, ok := fields.lookup[col]
if !ok {
return 0, fmt.Errorf("could not find type for column %s", col)
}
return *f.Type, nil
}
func (m *Metadata) Rows() int64 {
return m.metadata.NumRows
}
// Footer writes the FileMetaData at the end of the file.
func (m *Metadata) Footer(w io.Writer) error {
_, s := m.schema.schema()
fmd := &sch.FileMetaData{
Version: 1,
Schema: s,
NumRows: m.docs,
RowGroups: make([]*sch.RowGroup, 0, len(m.rowGroups)),
}
pos := int64(4)
for _, mrg := range m.rowGroups {
rg := mrg.rowGroup
if rg.NumRows == 0 {
continue
}
for _, col := range mrg.fields.fields {
ch, ok := mrg.columns[strings.ToLower(strings.Join(col.Path, "."))]
if !ok {
continue
}
ch.FileOffset = pos
ch.MetaData.DataPageOffset = pos
rg.TotalByteSize += ch.MetaData.TotalCompressedSize
rg.Columns = append(rg.Columns, &ch)
pos += ch.MetaData.TotalCompressedSize
}
fmd.RowGroups = append(fmd.RowGroups, &rg)
}
buf, err := m.ts.Write(context.TODO(), fmd)
if err != nil {
return err
}
n, err := w.Write(buf)
if err != nil {
return err
}
return binary.Write(w, binary.LittleEndian, uint32(n))
}
// RowGroup wraps schema.RowGroup and adds accounting functions
// that are used to keep track of number of rows written, byte size,
// etc.
type RowGroup struct {
fields schema
rowGroup sch.RowGroup
columns map[string]sch.ColumnChunk
child *RowGroup
Rows int64
}
// Columns returns the Columns of the row group.
func (r *RowGroup) Columns() []*sch.ColumnChunk {
return r.rowGroup.Columns
}
func (r *RowGroup) updateColumnChunk(pth []string, dataLen, compressedLen, count int, fields schema, comp sch.CompressionCodec) error {
col := strings.Join(pth, ".")
ch, ok := r.columns[col]
if !ok {
t, err := columnType(col, fields)
if err != nil {
return err
}
ch = sch.ColumnChunk{
MetaData: &sch.ColumnMetaData{
Type: t,
Encodings: []sch.Encoding{sch.Encoding_PLAIN},
PathInSchema: pth,
Codec: comp,
},
}
}
ch.MetaData.NumValues += int64(count)
ch.MetaData.TotalUncompressedSize += int64(dataLen)
ch.MetaData.TotalCompressedSize += int64(compressedLen)
r.columns[col] = ch
return nil
}
func schemaElements(fields []Field) schema {
m := make(map[string]sch.SchemaElement)
for _, f := range fields {
var z int32
se := sch.SchemaElement{
Name: strings.ToLower(f.Name),
TypeLength: &z,
Scale: &z,
Precision: &z,
FieldID: &z,
}
f.Type(&se)
f.RepetitionType(&se)
m[strings.ToLower(strings.Join(f.Path, "."))] = se
}
return schema{lookup: m, fields: fields}
}
// Pages maps each column name to its Pages
func (m *Metadata) Pages() (map[string][]Page, error) {
if len(m.metadata.RowGroups) == 0 {
return nil, nil
}
out := map[string][]Page{}
for _, rg := range m.metadata.RowGroups {
for _, ch := range rg.Columns {
pth := ch.MetaData.PathInSchema
_, ok := m.schema.lookup[strings.ToLower(strings.Join(pth, "."))]
if !ok {
return nil, fmt.Errorf("could not find schema for %v", pth)
}
pg := Page{
N: int(ch.MetaData.NumValues),
Offset: ch.FileOffset,
Size: int(ch.MetaData.TotalCompressedSize),
Codec: ch.MetaData.Codec,
}
k := strings.ToLower(strings.Join(pth, "."))
out[k] = append(out[k], pg)
}
}
return out, nil
}
// ReadMetaData reads the FileMetaData from the end of a parquet file
func ReadMetaData(r io.ReadSeeker) (*sch.FileMetaData, error) {
p := thrift.NewTCompactProtocol(&thrift.StreamTransport{Reader: r})
size, err := getMetaDataSize(r)
if err != nil {
return nil, err
}
_, err = r.Seek(-int64(size+8), io.SeekEnd)
if err != nil {
return nil, err
}
m := sch.NewFileMetaData()
return m, m.Read(p)
}
// ReadFooter reads the parquet metadata
func (m *Metadata) ReadFooter(r io.ReadSeeker) error {
meta, err := ReadMetaData(r)
m.metadata = meta
return err
}
// PageHeader reads the page header from a column page
func PageHeader(r io.Reader) (*sch.PageHeader, error) {
p := thrift.NewTCompactProtocol(&thrift.StreamTransport{Reader: r})
pg := &sch.PageHeader{}
err := pg.Read(p)
return pg, err
}
// PageHeader reads all the page headers without reading the actual
// data. It is used by parquetgen to print the page headers.
func PageHeaders(footer *sch.FileMetaData, r io.ReadSeeker) ([]sch.PageHeader, error) {
var pageHeaders []sch.PageHeader
for _, rg := range footer.RowGroups {
for _, col := range rg.Columns {
h, err := PageHeadersAtOffset(r, col.MetaData.DataPageOffset, col.MetaData.NumValues)
if err != nil {
return nil, err
}
pageHeaders = append(pageHeaders, h...)
}
}
return pageHeaders, nil
}
// PageHeadersAtOffset seeks to the given offset, then reads the PageHeader
// without reading the data.
func PageHeadersAtOffset(r io.ReadSeeker, o, n int64) ([]sch.PageHeader, error) {
var out []sch.PageHeader
var nRead int64
_, err := r.Seek(o, io.SeekStart)
if err != nil {
return nil, fmt.Errorf("unable to seek to offset %d, err: %s", o, err)
}
var readOne bool
if n > 0 {
readOne = true
}
for !readOne || nRead < n {
if n == 0 {
readOne = true
}
rc := &readCounter{r: r}
ph, err := PageHeader(rc)
if err != nil {
return nil, fmt.Errorf("unable to read page header: %s", err)
}
out = append(out, *ph)
_, err = r.Seek(int64(ph.CompressedPageSize), io.SeekCurrent)
if err != nil {
return nil, fmt.Errorf("unable to seek to next page: %s", err)
}
nRead += int64(ph.DataPageHeader.NumValues)
}
return out, nil
}
// FieldFunc is used to set some of the metadata for each column
type FieldFunc func(*sch.SchemaElement)
// RepetitionRequired...
func RepetitionRequired(se *sch.SchemaElement) {
t := sch.FieldRepetitionType_REQUIRED
se.RepetitionType = &t
}
// RepetitionOptional...
func RepetitionOptional(se *sch.SchemaElement) {
t := sch.FieldRepetitionType_OPTIONAL
se.RepetitionType = &t
}
// RepetitionRepeated...
func RepetitionRepeated(se *sch.SchemaElement) {
t := sch.FieldRepetitionType_REPEATED
se.RepetitionType = &t
}
var fieldFuncs = []FieldFunc{RepetitionRequired, RepetitionOptional, RepetitionRepeated}
// Int32Type is a fieldFunc
func Int32Type(se *sch.SchemaElement) {
t := sch.Type_INT32
se.Type = &t
}
// Uint32Type is a fieldFunc
func Uint32Type(se *sch.SchemaElement) {
t := sch.Type_INT32
se.Type = &t
ct := sch.ConvertedType_UINT_32
se.ConvertedType = &ct
}
// Int64Type is a fieldFunc
func Int64Type(se *sch.SchemaElement) {
t := sch.Type_INT64
se.Type = &t
}
// Uint64Type is a fieldFunc
func Uint64Type(se *sch.SchemaElement) {
t := sch.Type_INT64
se.Type = &t
ct := sch.ConvertedType_UINT_64
se.ConvertedType = &ct
}
// Float32Type is a fieldFunc
func Float32Type(se *sch.SchemaElement) {
t := sch.Type_FLOAT
se.Type = &t
}
// Float64Type is a fieldFunc
func Float64Type(se *sch.SchemaElement) {
t := sch.Type_DOUBLE
se.Type = &t
}
// BoolType is a fieldFunc
func BoolType(se *sch.SchemaElement) {
t := sch.Type_BOOLEAN
se.Type = &t
}
// StringType is a fieldFunc
func StringType(se *sch.SchemaElement) {
t := sch.Type_BYTE_ARRAY
se.Type = &t
}
// GetBools reads a byte array and turns each bit into a bool
func GetBools(r io.Reader, n int, pageSizes []int) ([]bool, error) {
var vals [8]bool
data, _ := ioutil.ReadAll(r)
out := make([]bool, 0, n)
for _, nVals := range pageSizes {
if nVals == 0 {
continue
}
l := (nVals / 8)
if nVals%8 > 0 {
l++
}
var i int
chunk := data[:l]
data = data[l:]
for _, b := range chunk {
vals = unpackBools(b)
m := min(nVals, 8)
for j := 0; j < m; j++ {
out = append(out, vals[j])
}
i += m
nVals -= m
}
}
return out, nil
}
func min(a, b int) int {
if a < b {
return a
}
return b
}
func unpackBools(data byte) [8]bool {
x := uint8(data)
return [8]bool{
(x>>0)&1 == 1,
(x>>1)&1 == 1,
(x>>2)&1 == 1,
(x>>3)&1 == 1,
(x>>4)&1 == 1,
(x>>5)&1 == 1,
(x>>6)&1 == 1,
(x>>7)&1 == 1,
}
}
func getMetaDataSize(r io.ReadSeeker) (int, error) {
_, err := r.Seek(-8, io.SeekEnd)
if err != nil {
return 0, err
}
var size uint32
return int(size), binary.Read(r, binary.LittleEndian, &size)
}