mirror of https://github.com/minio/minio.git
681 lines
20 KiB
Go
681 lines
20 KiB
Go
/*
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* Minio Cloud Storage, (C) 2019 Minio, Inc.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package data
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import (
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"bytes"
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"context"
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"fmt"
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"strings"
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"git.apache.org/thrift.git/lib/go/thrift"
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"github.com/minio/minio/pkg/s3select/internal/parquet-go/common"
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"github.com/minio/minio/pkg/s3select/internal/parquet-go/encoding"
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"github.com/minio/minio/pkg/s3select/internal/parquet-go/gen-go/parquet"
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"github.com/minio/minio/pkg/s3select/internal/parquet-go/schema"
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"github.com/tidwall/gjson"
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"github.com/tidwall/sjson"
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)
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func getDefaultEncoding(parquetType parquet.Type) parquet.Encoding {
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switch parquetType {
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case parquet.Type_BOOLEAN:
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return parquet.Encoding_PLAIN
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case parquet.Type_INT32, parquet.Type_INT64, parquet.Type_FLOAT, parquet.Type_DOUBLE:
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return parquet.Encoding_RLE_DICTIONARY
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case parquet.Type_BYTE_ARRAY:
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return parquet.Encoding_DELTA_LENGTH_BYTE_ARRAY
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}
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return parquet.Encoding_PLAIN
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}
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func getFirstValueElement(tree *schema.Tree) (valueElement *schema.Element) {
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tree.Range(func(name string, element *schema.Element) bool {
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if element.Children == nil {
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valueElement = element
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} else {
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valueElement = getFirstValueElement(element.Children)
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}
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return false
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})
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return valueElement
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}
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func populate(columnDataMap map[string]*Column, input *jsonValue, tree *schema.Tree, firstValueRL int64) (map[string]*Column, error) {
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var err error
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pos := 0
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handleElement := func(name string, element *schema.Element) bool {
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pos++
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dataPath := element.PathInTree
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if *element.RepetitionType == parquet.FieldRepetitionType_REPEATED {
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panic(fmt.Errorf("%v: repetition type must be REQUIRED or OPTIONAL type", dataPath))
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}
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inputValue := input.Get(name)
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if *element.RepetitionType == parquet.FieldRepetitionType_REQUIRED && inputValue.IsNull() {
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err = fmt.Errorf("%v: nil value for required field", dataPath)
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return false
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}
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add := func(element *schema.Element, value interface{}, DL, RL int64) {
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columnData := columnDataMap[element.PathInSchema]
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if columnData == nil {
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columnData = NewColumn(*element.Type)
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}
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columnData.add(value, DL, RL)
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columnDataMap[element.PathInSchema] = columnData
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}
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// Handle primitive type element.
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if element.Type != nil {
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var value interface{}
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if value, err = inputValue.GetValue(*element.Type, element.ConvertedType); err != nil {
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return false
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}
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DL := element.MaxDefinitionLevel
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if value == nil && DL > 0 {
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DL--
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}
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RL := element.MaxRepetitionLevel
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if pos == 1 {
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RL = firstValueRL
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}
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add(element, value, DL, RL)
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return true
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}
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addNull := func() {
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valueElement := getFirstValueElement(element.Children)
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DL := element.MaxDefinitionLevel
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if DL > 0 {
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DL--
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}
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RL := element.MaxRepetitionLevel
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if RL > 0 {
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RL--
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}
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add(valueElement, nil, DL, RL)
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}
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// Handle group type element.
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if element.ConvertedType == nil {
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if inputValue.IsNull() {
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addNull()
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return true
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}
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columnDataMap, err = populate(columnDataMap, inputValue, element.Children, firstValueRL)
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return (err == nil)
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}
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// Handle list type element.
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if *element.ConvertedType == parquet.ConvertedType_LIST {
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if inputValue.IsNull() {
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addNull()
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return true
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}
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var results []gjson.Result
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if results, err = inputValue.GetArray(); err != nil {
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return false
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}
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listElement, _ := element.Children.Get("list")
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valueElement, _ := listElement.Children.Get("element")
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for i := range results {
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rl := valueElement.MaxRepetitionLevel
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if i == 0 {
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rl = firstValueRL
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}
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var jsonData []byte
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if jsonData, err = sjson.SetBytes([]byte{}, "element", results[i].Value()); err != nil {
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return false
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}
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var jv *jsonValue
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if jv, err = bytesToJSONValue(jsonData); err != nil {
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return false
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}
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if columnDataMap, err = populate(columnDataMap, jv, listElement.Children, rl); err != nil {
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return false
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}
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}
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return true
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}
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if *element.ConvertedType == parquet.ConvertedType_MAP {
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if inputValue.IsNull() {
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addNull()
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return true
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}
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keyValueElement, _ := element.Children.Get("key_value")
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var rerr error
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err = inputValue.Range(func(key, value gjson.Result) bool {
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if !key.Exists() || key.Type == gjson.Null {
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rerr = fmt.Errorf("%v.key_value.key: not found or null", dataPath)
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return false
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}
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var jsonData []byte
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if jsonData, rerr = sjson.SetBytes([]byte{}, "key", key.Value()); rerr != nil {
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return false
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}
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if jsonData, rerr = sjson.SetBytes(jsonData, "value", value.Value()); rerr != nil {
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return false
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}
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var jv *jsonValue
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if jv, rerr = bytesToJSONValue(jsonData); rerr != nil {
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return false
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}
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if columnDataMap, rerr = populate(columnDataMap, jv, keyValueElement.Children, firstValueRL); rerr != nil {
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return false
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}
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return true
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})
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if err != nil {
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return false
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}
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err = rerr
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return (err == nil)
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}
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err = fmt.Errorf("%v: unsupported converted type %v in %v field type", dataPath, *element.ConvertedType, *element.RepetitionType)
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return false
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}
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tree.Range(handleElement)
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return columnDataMap, err
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}
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// Column - denotes values of a column.
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type Column struct {
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parquetType parquet.Type // value type.
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values []interface{} // must be a slice of parquet typed values.
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definitionLevels []int64 // exactly same length of values.
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repetitionLevels []int64 // exactly same length of values.
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rowCount int32
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maxBitWidth int32
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minValue interface{}
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maxValue interface{}
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}
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func (column *Column) updateMinMaxValue(value interface{}) {
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if column.minValue == nil && column.maxValue == nil {
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column.minValue = value
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column.maxValue = value
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return
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}
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switch column.parquetType {
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case parquet.Type_BOOLEAN:
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if column.minValue.(bool) && !value.(bool) {
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column.minValue = value
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}
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if !column.maxValue.(bool) && value.(bool) {
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column.maxValue = value
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}
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case parquet.Type_INT32:
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if column.minValue.(int32) > value.(int32) {
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column.minValue = value
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}
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if column.maxValue.(int32) < value.(int32) {
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column.maxValue = value
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}
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case parquet.Type_INT64:
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if column.minValue.(int64) > value.(int64) {
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column.minValue = value
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}
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if column.maxValue.(int64) < value.(int64) {
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column.maxValue = value
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}
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case parquet.Type_FLOAT:
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if column.minValue.(float32) > value.(float32) {
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column.minValue = value
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}
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if column.maxValue.(float32) < value.(float32) {
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column.maxValue = value
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}
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case parquet.Type_DOUBLE:
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if column.minValue.(float64) > value.(float64) {
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column.minValue = value
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}
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if column.maxValue.(float64) < value.(float64) {
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column.maxValue = value
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}
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case parquet.Type_BYTE_ARRAY:
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if bytes.Compare(column.minValue.([]byte), value.([]byte)) > 0 {
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column.minValue = value
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}
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if bytes.Compare(column.minValue.([]byte), value.([]byte)) < 0 {
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column.maxValue = value
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}
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}
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}
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func (column *Column) updateStats(value interface{}, DL, RL int64) {
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if RL == 0 {
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column.rowCount++
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}
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if value == nil {
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return
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}
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var bitWidth int32
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switch column.parquetType {
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case parquet.Type_BOOLEAN:
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bitWidth = 1
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case parquet.Type_INT32:
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bitWidth = common.BitWidth(uint64(value.(int32)))
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case parquet.Type_INT64:
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bitWidth = common.BitWidth(uint64(value.(int64)))
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case parquet.Type_FLOAT:
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bitWidth = 32
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case parquet.Type_DOUBLE:
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bitWidth = 64
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case parquet.Type_BYTE_ARRAY:
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bitWidth = int32(len(value.([]byte)))
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}
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if column.maxBitWidth < bitWidth {
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column.maxBitWidth = bitWidth
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}
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column.updateMinMaxValue(value)
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}
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func (column *Column) add(value interface{}, DL, RL int64) {
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column.values = append(column.values, value)
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column.definitionLevels = append(column.definitionLevels, DL)
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column.repetitionLevels = append(column.repetitionLevels, RL)
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column.updateStats(value, DL, RL)
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}
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// AddNull - adds nil value.
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func (column *Column) AddNull(DL, RL int64) {
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column.add(nil, DL, RL)
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}
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// AddBoolean - adds boolean value.
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func (column *Column) AddBoolean(value bool, DL, RL int64) {
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if column.parquetType != parquet.Type_BOOLEAN {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// AddInt32 - adds int32 value.
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func (column *Column) AddInt32(value int32, DL, RL int64) {
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if column.parquetType != parquet.Type_INT32 {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// AddInt64 - adds int64 value.
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func (column *Column) AddInt64(value int64, DL, RL int64) {
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if column.parquetType != parquet.Type_INT64 {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// AddFloat - adds float32 value.
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func (column *Column) AddFloat(value float32, DL, RL int64) {
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if column.parquetType != parquet.Type_FLOAT {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// AddDouble - adds float64 value.
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func (column *Column) AddDouble(value float64, DL, RL int64) {
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if column.parquetType != parquet.Type_DOUBLE {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// AddByteArray - adds byte array value.
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func (column *Column) AddByteArray(value []byte, DL, RL int64) {
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if column.parquetType != parquet.Type_BYTE_ARRAY {
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panic(fmt.Errorf("expected %v value", column.parquetType))
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}
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column.add(value, DL, RL)
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}
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// Merge - merges columns.
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func (column *Column) Merge(column2 *Column) {
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if column.parquetType != column2.parquetType {
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panic(fmt.Errorf("merge differs in parquet type"))
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}
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column.values = append(column.values, column2.values...)
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column.definitionLevels = append(column.definitionLevels, column2.definitionLevels...)
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column.repetitionLevels = append(column.repetitionLevels, column2.repetitionLevels...)
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column.rowCount += column2.rowCount
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if column.maxBitWidth < column2.maxBitWidth {
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column.maxBitWidth = column2.maxBitWidth
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}
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column.updateMinMaxValue(column2.minValue)
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column.updateMinMaxValue(column2.maxValue)
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}
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func (column *Column) String() string {
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var strs []string
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strs = append(strs, fmt.Sprintf("parquetType: %v", column.parquetType))
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strs = append(strs, fmt.Sprintf("values: %v", column.values))
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strs = append(strs, fmt.Sprintf("definitionLevels: %v", column.definitionLevels))
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strs = append(strs, fmt.Sprintf("repetitionLevels: %v", column.repetitionLevels))
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strs = append(strs, fmt.Sprintf("rowCount: %v", column.rowCount))
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strs = append(strs, fmt.Sprintf("maxBitWidth: %v", column.maxBitWidth))
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strs = append(strs, fmt.Sprintf("minValue: %v", column.minValue))
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strs = append(strs, fmt.Sprintf("maxValue: %v", column.maxValue))
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return "{" + strings.Join(strs, ", ") + "}"
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}
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func (column *Column) encodeValue(value interface{}, element *schema.Element) []byte {
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if value == nil {
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return nil
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}
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valueData := encoding.PlainEncode(common.ToSliceValue([]interface{}{value}, column.parquetType), column.parquetType)
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if column.parquetType == parquet.Type_BYTE_ARRAY && element.ConvertedType != nil {
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switch *element.ConvertedType {
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case parquet.ConvertedType_UTF8, parquet.ConvertedType_DECIMAL:
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valueData = valueData[4:]
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}
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}
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return valueData
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}
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func (column *Column) toDataPageV2(element *schema.Element, parquetEncoding parquet.Encoding) *ColumnChunk {
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var definedValues []interface{}
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for _, value := range column.values {
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if value != nil {
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definedValues = append(definedValues, value)
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}
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}
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var encodedData []byte
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switch parquetEncoding {
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case parquet.Encoding_PLAIN:
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encodedData = encoding.PlainEncode(common.ToSliceValue(definedValues, column.parquetType), column.parquetType)
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case parquet.Encoding_DELTA_LENGTH_BYTE_ARRAY:
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var bytesSlices [][]byte
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for _, value := range column.values {
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bytesSlices = append(bytesSlices, value.([]byte))
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}
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encodedData = encoding.DeltaLengthByteArrayEncode(bytesSlices)
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}
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compressionType := parquet.CompressionCodec_SNAPPY
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if element.CompressionType != nil {
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compressionType = *element.CompressionType
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}
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compressedData, err := common.Compress(compressionType, encodedData)
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if err != nil {
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panic(err)
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}
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DLData := encoding.RLEBitPackedHybridEncode(
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column.definitionLevels,
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common.BitWidth(uint64(element.MaxDefinitionLevel)),
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parquet.Type_INT64,
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)
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RLData := encoding.RLEBitPackedHybridEncode(
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column.repetitionLevels,
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common.BitWidth(uint64(element.MaxRepetitionLevel)),
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parquet.Type_INT64,
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)
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pageHeader := parquet.NewPageHeader()
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pageHeader.Type = parquet.PageType_DATA_PAGE_V2
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pageHeader.CompressedPageSize = int32(len(compressedData) + len(DLData) + len(RLData))
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pageHeader.UncompressedPageSize = int32(len(encodedData) + len(DLData) + len(RLData))
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pageHeader.DataPageHeaderV2 = parquet.NewDataPageHeaderV2()
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pageHeader.DataPageHeaderV2.NumValues = int32(len(column.values))
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pageHeader.DataPageHeaderV2.NumNulls = int32(len(column.values) - len(definedValues))
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pageHeader.DataPageHeaderV2.NumRows = column.rowCount
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pageHeader.DataPageHeaderV2.Encoding = parquetEncoding
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pageHeader.DataPageHeaderV2.DefinitionLevelsByteLength = int32(len(DLData))
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pageHeader.DataPageHeaderV2.RepetitionLevelsByteLength = int32(len(RLData))
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pageHeader.DataPageHeaderV2.IsCompressed = true
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pageHeader.DataPageHeaderV2.Statistics = parquet.NewStatistics()
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pageHeader.DataPageHeaderV2.Statistics.Min = column.encodeValue(column.minValue, element)
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pageHeader.DataPageHeaderV2.Statistics.Max = column.encodeValue(column.maxValue, element)
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ts := thrift.NewTSerializer()
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ts.Protocol = thrift.NewTCompactProtocolFactory().GetProtocol(ts.Transport)
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rawData, err := ts.Write(context.TODO(), pageHeader)
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if err != nil {
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panic(err)
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}
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rawData = append(rawData, RLData...)
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rawData = append(rawData, DLData...)
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rawData = append(rawData, compressedData...)
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metadata := parquet.NewColumnMetaData()
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metadata.Type = column.parquetType
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metadata.Encodings = []parquet.Encoding{
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parquet.Encoding_PLAIN,
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parquet.Encoding_RLE,
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parquet.Encoding_DELTA_LENGTH_BYTE_ARRAY,
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}
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metadata.Codec = compressionType
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metadata.NumValues = int64(pageHeader.DataPageHeaderV2.NumValues)
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metadata.TotalCompressedSize = int64(len(rawData))
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metadata.TotalUncompressedSize = int64(pageHeader.UncompressedPageSize) + int64(len(rawData)) - int64(pageHeader.CompressedPageSize)
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|
metadata.PathInSchema = strings.Split(element.PathInSchema, ".")
|
|
metadata.Statistics = parquet.NewStatistics()
|
|
metadata.Statistics.Min = pageHeader.DataPageHeaderV2.Statistics.Min
|
|
metadata.Statistics.Max = pageHeader.DataPageHeaderV2.Statistics.Max
|
|
|
|
chunk := new(ColumnChunk)
|
|
chunk.ColumnChunk.MetaData = metadata
|
|
chunk.dataPageLen = int64(len(rawData))
|
|
chunk.dataLen = int64(len(rawData))
|
|
chunk.data = rawData
|
|
|
|
return chunk
|
|
}
|
|
|
|
func (column *Column) toRLEDictPage(element *schema.Element) *ColumnChunk {
|
|
dictPageData, dataPageData, dictValueCount, indexBitWidth := encoding.RLEDictEncode(column.values, column.parquetType, column.maxBitWidth)
|
|
|
|
compressionType := parquet.CompressionCodec_SNAPPY
|
|
if element.CompressionType != nil {
|
|
compressionType = *element.CompressionType
|
|
}
|
|
|
|
compressedData, err := common.Compress(compressionType, dictPageData)
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
|
|
dictPageHeader := parquet.NewPageHeader()
|
|
dictPageHeader.Type = parquet.PageType_DICTIONARY_PAGE
|
|
dictPageHeader.CompressedPageSize = int32(len(compressedData))
|
|
dictPageHeader.UncompressedPageSize = int32(len(dictPageData))
|
|
dictPageHeader.DictionaryPageHeader = parquet.NewDictionaryPageHeader()
|
|
dictPageHeader.DictionaryPageHeader.NumValues = dictValueCount
|
|
dictPageHeader.DictionaryPageHeader.Encoding = parquet.Encoding_PLAIN
|
|
|
|
ts := thrift.NewTSerializer()
|
|
ts.Protocol = thrift.NewTCompactProtocolFactory().GetProtocol(ts.Transport)
|
|
dictPageRawData, err := ts.Write(context.TODO(), dictPageHeader)
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
dictPageRawData = append(dictPageRawData, compressedData...)
|
|
|
|
RLData := encoding.RLEBitPackedHybridEncode(
|
|
column.repetitionLevels,
|
|
common.BitWidth(uint64(element.MaxRepetitionLevel)),
|
|
parquet.Type_INT64,
|
|
)
|
|
encodedData := RLData
|
|
|
|
DLData := encoding.RLEBitPackedHybridEncode(
|
|
column.definitionLevels,
|
|
common.BitWidth(uint64(element.MaxDefinitionLevel)),
|
|
parquet.Type_INT64,
|
|
)
|
|
encodedData = append(encodedData, DLData...)
|
|
|
|
encodedData = append(encodedData, indexBitWidth)
|
|
encodedData = append(encodedData, dataPageData...)
|
|
|
|
compressedData, err = common.Compress(compressionType, encodedData)
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
|
|
dataPageHeader := parquet.NewPageHeader()
|
|
dataPageHeader.Type = parquet.PageType_DATA_PAGE
|
|
dataPageHeader.CompressedPageSize = int32(len(compressedData))
|
|
dataPageHeader.UncompressedPageSize = int32(len(encodedData))
|
|
dataPageHeader.DataPageHeader = parquet.NewDataPageHeader()
|
|
dataPageHeader.DataPageHeader.NumValues = int32(len(column.values))
|
|
dataPageHeader.DataPageHeader.DefinitionLevelEncoding = parquet.Encoding_RLE
|
|
dataPageHeader.DataPageHeader.RepetitionLevelEncoding = parquet.Encoding_RLE
|
|
dataPageHeader.DataPageHeader.Encoding = parquet.Encoding_RLE_DICTIONARY
|
|
|
|
ts = thrift.NewTSerializer()
|
|
ts.Protocol = thrift.NewTCompactProtocolFactory().GetProtocol(ts.Transport)
|
|
dataPageRawData, err := ts.Write(context.TODO(), dataPageHeader)
|
|
if err != nil {
|
|
panic(err)
|
|
}
|
|
dataPageRawData = append(dataPageRawData, compressedData...)
|
|
|
|
metadata := parquet.NewColumnMetaData()
|
|
metadata.Type = column.parquetType
|
|
metadata.Encodings = []parquet.Encoding{
|
|
parquet.Encoding_PLAIN,
|
|
parquet.Encoding_RLE,
|
|
parquet.Encoding_DELTA_LENGTH_BYTE_ARRAY,
|
|
parquet.Encoding_RLE_DICTIONARY,
|
|
}
|
|
metadata.Codec = compressionType
|
|
metadata.NumValues = int64(dataPageHeader.DataPageHeader.NumValues)
|
|
metadata.TotalCompressedSize = int64(len(dictPageRawData)) + int64(len(dataPageRawData))
|
|
uncompressedSize := int64(dictPageHeader.UncompressedPageSize) + int64(len(dictPageData)) - int64(dictPageHeader.CompressedPageSize)
|
|
uncompressedSize += int64(dataPageHeader.UncompressedPageSize) + int64(len(dataPageData)) - int64(dataPageHeader.CompressedPageSize)
|
|
metadata.TotalUncompressedSize = uncompressedSize
|
|
metadata.PathInSchema = strings.Split(element.PathInSchema, ".")
|
|
metadata.Statistics = parquet.NewStatistics()
|
|
metadata.Statistics.Min = column.encodeValue(column.minValue, element)
|
|
metadata.Statistics.Max = column.encodeValue(column.maxValue, element)
|
|
|
|
chunk := new(ColumnChunk)
|
|
chunk.ColumnChunk.MetaData = metadata
|
|
chunk.isDictPage = true
|
|
chunk.dictPageLen = int64(len(dictPageRawData))
|
|
chunk.dataPageLen = int64(len(dataPageRawData))
|
|
chunk.dataLen = chunk.dictPageLen + chunk.dataPageLen
|
|
chunk.data = append(dictPageRawData, dataPageRawData...)
|
|
|
|
return chunk
|
|
}
|
|
|
|
// Encode an element.
|
|
func (column *Column) Encode(element *schema.Element) *ColumnChunk {
|
|
parquetEncoding := getDefaultEncoding(column.parquetType)
|
|
if element.Encoding != nil {
|
|
parquetEncoding = *element.Encoding
|
|
}
|
|
|
|
switch parquetEncoding {
|
|
case parquet.Encoding_PLAIN, parquet.Encoding_DELTA_LENGTH_BYTE_ARRAY:
|
|
return column.toDataPageV2(element, parquetEncoding)
|
|
}
|
|
|
|
return column.toRLEDictPage(element)
|
|
}
|
|
|
|
// NewColumn - creates new column data
|
|
func NewColumn(parquetType parquet.Type) *Column {
|
|
switch parquetType {
|
|
case parquet.Type_BOOLEAN, parquet.Type_INT32, parquet.Type_INT64, parquet.Type_FLOAT, parquet.Type_DOUBLE, parquet.Type_BYTE_ARRAY:
|
|
default:
|
|
panic(fmt.Errorf("unsupported parquet type %v", parquetType))
|
|
}
|
|
|
|
return &Column{
|
|
parquetType: parquetType,
|
|
}
|
|
}
|
|
|
|
// UnmarshalJSON - decodes JSON data into map of Column.
|
|
func UnmarshalJSON(data []byte, tree *schema.Tree) (map[string]*Column, error) {
|
|
if !tree.ReadOnly() {
|
|
return nil, fmt.Errorf("tree must be read only")
|
|
}
|
|
|
|
inputValue, err := bytesToJSONValue(data)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
columnDataMap := make(map[string]*Column)
|
|
return populate(columnDataMap, inputValue, tree, 0)
|
|
}
|