emkornfield commented on a change in pull request #11538: URL: https://github.com/apache/arrow/pull/11538#discussion_r741420463
########## File path: go/parquet/file/column_writer.go ########## @@ -0,0 +1,567 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +package file + +import ( + "bytes" + "encoding/binary" + "io" + + "github.com/apache/arrow/go/arrow" + "github.com/apache/arrow/go/arrow/array" + "github.com/apache/arrow/go/arrow/bitutil" + "github.com/apache/arrow/go/arrow/memory" + "github.com/apache/arrow/go/parquet" + "github.com/apache/arrow/go/parquet/internal/encoding" + "github.com/apache/arrow/go/parquet/metadata" + "github.com/apache/arrow/go/parquet/schema" +) + +//go:generate go run ../../arrow/_tools/tmpl/main.go -i -data=../internal/encoding/physical_types.tmpldata column_writer_types.gen.go.tmpl + +// ColumnChunkWriter is the base interface for all columnwriters. To directly write +// data to the column, you need to assert it to the correctly typed ColumnChunkWriter +// instance, such as Int32ColumnWriter. +type ColumnChunkWriter interface { + // Close ends this column and returns the number of bytes written + Close() error + // Type returns the underlying physical parquet type for this column + Type() parquet.Type + // Descr returns the column information for this writer + Descr() *schema.Column + // RowsWritten returns the number of rows that have so far been written with this writer + RowsWritten() int64 + // TotalCompressedBytes returns the number of bytes, after compression, that have been written so far + TotalCompressedBytes() int64 + // TotalBytesWritten includes the bytes for writing dictionary pages, while TotalCompressedBytes is + // just the data and page headers + TotalBytesWritten() int64 + // Properties returns the current WriterProperties in use for this writer + Properties() *parquet.WriterProperties + + LevelInfo() LevelInfo + SetBitsBuffer(*memory.Buffer) +} + +func computeLevelInfo(descr *schema.Column) (info LevelInfo) { + info.DefLevel = descr.MaxDefinitionLevel() + info.RepLevel = descr.MaxRepetitionLevel() + + minSpacedDefLevel := descr.MaxDefinitionLevel() + n := descr.SchemaNode() + for n != nil && n.RepetitionType() != parquet.Repetitions.Repeated { + if n.RepetitionType() == parquet.Repetitions.Optional { + minSpacedDefLevel-- + } + n = n.Parent() + } + info.RepeatedAncestorDefLevel = minSpacedDefLevel + return +} + +type columnWriter struct { + metaData *metadata.ColumnChunkMetaDataBuilder + descr *schema.Column + + // scratch buffer if validity bits need to be recalculated + bitsBuffer *memory.Buffer + levelInfo LevelInfo + pager PageWriter + hasDict bool + encoding parquet.Encoding + props *parquet.WriterProperties + defEncoder encoding.LevelEncoder + repEncoder encoding.LevelEncoder + mem memory.Allocator + + pageStatistics metadata.TypedStatistics + chunkStatistics metadata.TypedStatistics + + // total number of values stored in the data page. this is the maximum + // of the number of encoded def levels or encoded values. for + // non-repeated, required columns, this is equal to the number of encoded + // values. For repeated or optional values, there may be fewer data values + // than levels, and this tells you how many encoded levels there are in that case + numBuffered int64 + + // the total number of stored values. for repeated or optional values. this + // number may be lower than numBuffered + numBufferedEncoded int64 + + rowsWritten int + totalBytesWritten int64 + // records the current number of compressed bytes in a column + totalCompressedBytes int64 + closed bool + fallback bool + + pages []DataPage + + defLevelSink *encoding.PooledBufferWriter + repLevelSink *encoding.PooledBufferWriter + + uncompressedData bytes.Buffer + compressedTemp *bytes.Buffer + + currentEncoder encoding.TypedEncoder +} + +func newColumnWriterBase(metaData *metadata.ColumnChunkMetaDataBuilder, pager PageWriter, useDict bool, enc parquet.Encoding, props *parquet.WriterProperties) columnWriter { + ret := columnWriter{ + metaData: metaData, + descr: metaData.Descr(), + levelInfo: computeLevelInfo(metaData.Descr()), + pager: pager, + hasDict: useDict, + encoding: enc, + props: props, + mem: props.Allocator(), + defLevelSink: encoding.NewPooledBufferWriter(0), + repLevelSink: encoding.NewPooledBufferWriter(0), + } + if pager.HasCompressor() { + ret.compressedTemp = new(bytes.Buffer) + } + if props.StatisticsEnabledFor(ret.descr.Path()) && ret.descr.SortOrder() != schema.SortUNKNOWN { + ret.pageStatistics = metadata.NewStatistics(ret.descr, props.Allocator()) + ret.chunkStatistics = metadata.NewStatistics(ret.descr, props.Allocator()) + } + + if ret.props.DataPageVersion() == parquet.DataPageV1 { + if ret.descr.MaxDefinitionLevel() > 0 { + ret.defLevelSink.SetOffset(arrow.Uint32SizeBytes) + } + if ret.descr.MaxRepetitionLevel() > 0 { + ret.repLevelSink.SetOffset(arrow.Uint32SizeBytes) + } + } + + ret.defEncoder.Init(parquet.Encodings.RLE, ret.descr.MaxDefinitionLevel(), ret.defLevelSink) + ret.repEncoder.Init(parquet.Encodings.RLE, ret.descr.MaxRepetitionLevel(), ret.repLevelSink) + return ret +} + +func (w *columnWriter) SetBitsBuffer(buf *memory.Buffer) { w.bitsBuffer = buf } + +func (w *columnWriter) LevelInfo() LevelInfo { return w.levelInfo } + +func (w *columnWriter) Type() parquet.Type { + return w.descr.PhysicalType() +} + +func (w *columnWriter) Descr() *schema.Column { + return w.descr +} + +func (w *columnWriter) Properties() *parquet.WriterProperties { + return w.props +} + +func (w *columnWriter) TotalCompressedBytes() int64 { + return w.totalCompressedBytes +} + +func (w *columnWriter) TotalBytesWritten() int64 { + return w.totalBytesWritten +} + +func (w *columnWriter) RowsWritten() int64 { + return int64(w.rowsWritten) +} + +func (w *columnWriter) WriteDataPage(page DataPage) error { + written, err := w.pager.WriteDataPage(page) + w.totalBytesWritten += written + return err +} + +func (w *columnWriter) WriteDefinitionLevels(levels []int16) { + w.defEncoder.EncodeNoFlush(levels) +} + +func (w *columnWriter) WriteRepetitionLevels(levels []int16) { + w.repEncoder.EncodeNoFlush(levels) +} + +func (w *columnWriter) init() { Review comment: would reset be a better name for this function? -- This is an automated message from the Apache Git Service. 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