github.com/parquet-go/parquet-go@v0.20.0/row_buffer.go (about) 1 package parquet 2 3 import ( 4 "io" 5 "sort" 6 7 "github.com/parquet-go/parquet-go/deprecated" 8 "github.com/parquet-go/parquet-go/encoding" 9 ) 10 11 // RowBuffer is an implementation of the RowGroup interface which stores parquet 12 // rows in memory. 13 // 14 // Unlike GenericBuffer which uses a column layout to store values in memory 15 // buffers, RowBuffer uses a row layout. The use of row layout provides greater 16 // efficiency when sorting the buffer, which is the primary use case for the 17 // RowBuffer type. Applications which intend to sort rows prior to writing them 18 // to a parquet file will often see lower CPU utilization from using a RowBuffer 19 // than a GenericBuffer. 20 // 21 // RowBuffer values are not safe to use concurrently from multiple goroutines. 22 type RowBuffer[T any] struct { 23 alloc rowAllocator 24 schema *Schema 25 sorting []SortingColumn 26 rows []Row 27 values []Value 28 compare func(Row, Row) int 29 } 30 31 // NewRowBuffer constructs a new row buffer. 32 func NewRowBuffer[T any](options ...RowGroupOption) *RowBuffer[T] { 33 config := DefaultRowGroupConfig() 34 config.Apply(options...) 35 if err := config.Validate(); err != nil { 36 panic(err) 37 } 38 39 t := typeOf[T]() 40 if config.Schema == nil && t != nil { 41 config.Schema = schemaOf(dereference(t)) 42 } 43 44 if config.Schema == nil { 45 panic("row buffer must be instantiated with schema or concrete type.") 46 } 47 48 return &RowBuffer[T]{ 49 schema: config.Schema, 50 sorting: config.Sorting.SortingColumns, 51 compare: config.Schema.Comparator(config.Sorting.SortingColumns...), 52 } 53 } 54 55 // Reset clears the content of the buffer without releasing its memory. 56 func (buf *RowBuffer[T]) Reset() { 57 for i := range buf.rows { 58 buf.rows[i] = nil 59 } 60 for i := range buf.values { 61 buf.values[i] = Value{} 62 } 63 buf.rows = buf.rows[:0] 64 buf.values = buf.values[:0] 65 buf.alloc.reset() 66 } 67 68 // NumRows returns the number of rows currently written to the buffer. 69 func (buf *RowBuffer[T]) NumRows() int64 { return int64(len(buf.rows)) } 70 71 // ColumnChunks returns a view of the buffer's columns. 72 // 73 // Note that reading columns of a RowBuffer will be less efficient than reading 74 // columns of a GenericBuffer since the latter uses a column layout. This method 75 // is mainly exposed to satisfy the RowGroup interface, applications which need 76 // compute-efficient column scans on in-memory buffers should likely use a 77 // GenericBuffer instead. 78 // 79 // The returned column chunks are snapshots at the time the method is called, 80 // they remain valid until the next call to Reset on the buffer. 81 func (buf *RowBuffer[T]) ColumnChunks() []ColumnChunk { 82 columns := buf.schema.Columns() 83 chunks := make([]rowBufferColumnChunk, len(columns)) 84 85 for i, column := range columns { 86 leafColumn, _ := buf.schema.Lookup(column...) 87 chunks[i] = rowBufferColumnChunk{ 88 page: rowBufferPage{ 89 rows: buf.rows, 90 typ: leafColumn.Node.Type(), 91 column: leafColumn.ColumnIndex, 92 maxRepetitionLevel: byte(leafColumn.MaxRepetitionLevel), 93 maxDefinitionLevel: byte(leafColumn.MaxDefinitionLevel), 94 }, 95 } 96 } 97 98 columnChunks := make([]ColumnChunk, len(chunks)) 99 for i := range chunks { 100 columnChunks[i] = &chunks[i] 101 } 102 return columnChunks 103 } 104 105 // SortingColumns returns the list of columns that rows are expected to be 106 // sorted by. 107 // 108 // The list of sorting columns is configured when the buffer is created and used 109 // when it is sorted. 110 // 111 // Note that unless the buffer is explicitly sorted, there are no guarantees 112 // that the rows it contains will be in the order specified by the sorting 113 // columns. 114 func (buf *RowBuffer[T]) SortingColumns() []SortingColumn { return buf.sorting } 115 116 // Schema returns the schema of rows in the buffer. 117 func (buf *RowBuffer[T]) Schema() *Schema { return buf.schema } 118 119 // Len returns the number of rows in the buffer. 120 // 121 // The method contributes to satisfying sort.Interface. 122 func (buf *RowBuffer[T]) Len() int { return len(buf.rows) } 123 124 // Less compares the rows at index i and j according to the sorting columns 125 // configured on the buffer. 126 // 127 // The method contributes to satisfying sort.Interface. 128 func (buf *RowBuffer[T]) Less(i, j int) bool { 129 return buf.compare(buf.rows[i], buf.rows[j]) < 0 130 } 131 132 // Swap exchanges the rows at index i and j in the buffer. 133 // 134 // The method contributes to satisfying sort.Interface. 135 func (buf *RowBuffer[T]) Swap(i, j int) { 136 buf.rows[i], buf.rows[j] = buf.rows[j], buf.rows[i] 137 } 138 139 // Rows returns a Rows instance exposing rows stored in the buffer. 140 // 141 // The rows returned are a snapshot at the time the method is called. 142 // The returned rows and values read from it remain valid until the next call 143 // to Reset on the buffer. 144 func (buf *RowBuffer[T]) Rows() Rows { 145 return &rowBufferRows{rows: buf.rows, schema: buf.schema} 146 } 147 148 // Write writes rows to the buffer, returning the number of rows written. 149 func (buf *RowBuffer[T]) Write(rows []T) (int, error) { 150 for i := range rows { 151 off := len(buf.values) 152 buf.values = buf.schema.Deconstruct(buf.values, &rows[i]) 153 end := len(buf.values) 154 row := buf.values[off:end:end] 155 buf.alloc.capture(row) 156 buf.rows = append(buf.rows, row) 157 } 158 return len(rows), nil 159 } 160 161 // WriteRows writes parquet rows to the buffer, returing the number of rows 162 // written. 163 func (buf *RowBuffer[T]) WriteRows(rows []Row) (int, error) { 164 for i := range rows { 165 off := len(buf.values) 166 buf.values = append(buf.values, rows[i]...) 167 end := len(buf.values) 168 row := buf.values[off:end:end] 169 buf.alloc.capture(row) 170 buf.rows = append(buf.rows, row) 171 } 172 return len(rows), nil 173 } 174 175 type rowBufferColumnChunk struct{ page rowBufferPage } 176 177 func (c *rowBufferColumnChunk) Type() Type { return c.page.Type() } 178 179 func (c *rowBufferColumnChunk) Column() int { return c.page.Column() } 180 181 func (c *rowBufferColumnChunk) Pages() Pages { return onePage(&c.page) } 182 183 func (c *rowBufferColumnChunk) ColumnIndex() (ColumnIndex, error) { return nil, nil } 184 185 func (c *rowBufferColumnChunk) OffsetIndex() (OffsetIndex, error) { return nil, nil } 186 187 func (c *rowBufferColumnChunk) BloomFilter() BloomFilter { return nil } 188 189 func (c *rowBufferColumnChunk) NumValues() int64 { return c.page.NumValues() } 190 191 type rowBufferPage struct { 192 rows []Row 193 typ Type 194 column int 195 maxRepetitionLevel byte 196 maxDefinitionLevel byte 197 } 198 199 func (p *rowBufferPage) Type() Type { return p.typ } 200 201 func (p *rowBufferPage) Column() int { return p.column } 202 203 func (p *rowBufferPage) Dictionary() Dictionary { return nil } 204 205 func (p *rowBufferPage) NumRows() int64 { return int64(len(p.rows)) } 206 207 func (p *rowBufferPage) NumValues() int64 { 208 numValues := int64(0) 209 p.scan(func(value Value) { 210 if !value.isNull() { 211 numValues++ 212 } 213 }) 214 return numValues 215 } 216 217 func (p *rowBufferPage) NumNulls() int64 { 218 numNulls := int64(0) 219 p.scan(func(value Value) { 220 if value.isNull() { 221 numNulls++ 222 } 223 }) 224 return numNulls 225 } 226 227 func (p *rowBufferPage) Bounds() (min, max Value, ok bool) { 228 p.scan(func(value Value) { 229 if !value.IsNull() { 230 switch { 231 case !ok: 232 min, max, ok = value, value, true 233 case p.typ.Compare(value, min) < 0: 234 min = value 235 case p.typ.Compare(value, max) > 0: 236 max = value 237 } 238 } 239 }) 240 return min, max, ok 241 } 242 243 func (p *rowBufferPage) Size() int64 { return 0 } 244 245 func (p *rowBufferPage) Values() ValueReader { 246 return &rowBufferPageValueReader{ 247 page: p, 248 columnIndex: ^int16(p.column), 249 } 250 } 251 252 func (p *rowBufferPage) Clone() Page { 253 rows := make([]Row, len(p.rows)) 254 for i := range rows { 255 rows[i] = p.rows[i].Clone() 256 } 257 return &rowBufferPage{ 258 rows: rows, 259 typ: p.typ, 260 column: p.column, 261 } 262 } 263 264 func (p *rowBufferPage) Slice(i, j int64) Page { 265 return &rowBufferPage{ 266 rows: p.rows[i:j], 267 typ: p.typ, 268 column: p.column, 269 } 270 } 271 272 func (p *rowBufferPage) RepetitionLevels() (repetitionLevels []byte) { 273 if p.maxRepetitionLevel != 0 { 274 repetitionLevels = make([]byte, 0, len(p.rows)) 275 p.scan(func(value Value) { 276 repetitionLevels = append(repetitionLevels, value.repetitionLevel) 277 }) 278 } 279 return repetitionLevels 280 } 281 282 func (p *rowBufferPage) DefinitionLevels() (definitionLevels []byte) { 283 if p.maxDefinitionLevel != 0 { 284 definitionLevels = make([]byte, 0, len(p.rows)) 285 p.scan(func(value Value) { 286 definitionLevels = append(definitionLevels, value.definitionLevel) 287 }) 288 } 289 return definitionLevels 290 } 291 292 func (p *rowBufferPage) Data() encoding.Values { 293 switch p.typ.Kind() { 294 case Boolean: 295 values := make([]byte, (len(p.rows)+7)/8) 296 numValues := 0 297 p.scanNonNull(func(value Value) { 298 if value.boolean() { 299 i := uint(numValues) / 8 300 j := uint(numValues) % 8 301 values[i] |= 1 << j 302 } 303 numValues++ 304 }) 305 return encoding.BooleanValues(values[:(numValues+7)/8]) 306 307 case Int32: 308 values := make([]int32, 0, len(p.rows)) 309 p.scanNonNull(func(value Value) { values = append(values, value.int32()) }) 310 return encoding.Int32Values(values) 311 312 case Int64: 313 values := make([]int64, 0, len(p.rows)) 314 p.scanNonNull(func(value Value) { values = append(values, value.int64()) }) 315 return encoding.Int64Values(values) 316 317 case Int96: 318 values := make([]deprecated.Int96, 0, len(p.rows)) 319 p.scanNonNull(func(value Value) { values = append(values, value.int96()) }) 320 return encoding.Int96Values(values) 321 322 case Float: 323 values := make([]float32, 0, len(p.rows)) 324 p.scanNonNull(func(value Value) { values = append(values, value.float()) }) 325 return encoding.FloatValues(values) 326 327 case Double: 328 values := make([]float64, 0, len(p.rows)) 329 p.scanNonNull(func(value Value) { values = append(values, value.double()) }) 330 return encoding.DoubleValues(values) 331 332 case ByteArray: 333 values := make([]byte, 0, p.typ.EstimateSize(len(p.rows))) 334 offsets := make([]uint32, 0, len(p.rows)) 335 p.scanNonNull(func(value Value) { 336 offsets = append(offsets, uint32(len(values))) 337 values = append(values, value.byteArray()...) 338 }) 339 offsets = append(offsets, uint32(len(values))) 340 return encoding.ByteArrayValues(values, offsets) 341 342 case FixedLenByteArray: 343 length := p.typ.Length() 344 values := make([]byte, 0, length*len(p.rows)) 345 p.scanNonNull(func(value Value) { values = append(values, value.byteArray()...) }) 346 return encoding.FixedLenByteArrayValues(values, length) 347 348 default: 349 return encoding.Values{} 350 } 351 } 352 353 func (p *rowBufferPage) scan(f func(Value)) { 354 columnIndex := ^int16(p.column) 355 356 for _, row := range p.rows { 357 for _, value := range row { 358 if value.columnIndex == columnIndex { 359 f(value) 360 } 361 } 362 } 363 } 364 365 func (p *rowBufferPage) scanNonNull(f func(Value)) { 366 p.scan(func(value Value) { 367 if !value.isNull() { 368 f(value) 369 } 370 }) 371 } 372 373 type rowBufferPageValueReader struct { 374 page *rowBufferPage 375 rowIndex int 376 valueIndex int 377 columnIndex int16 378 } 379 380 func (r *rowBufferPageValueReader) ReadValues(values []Value) (n int, err error) { 381 for n < len(values) && r.rowIndex < len(r.page.rows) { 382 for n < len(values) && r.valueIndex < len(r.page.rows[r.rowIndex]) { 383 if v := r.page.rows[r.rowIndex][r.valueIndex]; v.columnIndex == r.columnIndex { 384 values[n] = v 385 n++ 386 } 387 r.valueIndex++ 388 } 389 r.rowIndex++ 390 r.valueIndex = 0 391 } 392 if r.rowIndex == len(r.page.rows) { 393 err = io.EOF 394 } 395 return n, err 396 } 397 398 type rowBufferRows struct { 399 rows []Row 400 index int 401 schema *Schema 402 } 403 404 func (r *rowBufferRows) Close() error { 405 r.index = -1 406 return nil 407 } 408 409 func (r *rowBufferRows) Schema() *Schema { 410 return r.schema 411 } 412 413 func (r *rowBufferRows) SeekToRow(rowIndex int64) error { 414 if rowIndex < 0 { 415 return ErrSeekOutOfRange 416 } 417 418 if r.index < 0 { 419 return io.ErrClosedPipe 420 } 421 422 maxRowIndex := int64(len(r.rows)) 423 if rowIndex > maxRowIndex { 424 rowIndex = maxRowIndex 425 } 426 427 r.index = int(rowIndex) 428 return nil 429 } 430 431 func (r *rowBufferRows) ReadRows(rows []Row) (n int, err error) { 432 if r.index < 0 { 433 return 0, io.EOF 434 } 435 436 if n = len(r.rows) - r.index; n > len(rows) { 437 n = len(rows) 438 } 439 440 for i, row := range r.rows[r.index : r.index+n] { 441 rows[i] = append(rows[i][:0], row...) 442 } 443 444 if r.index += n; r.index == len(r.rows) { 445 err = io.EOF 446 } 447 448 return n, err 449 } 450 451 func (r *rowBufferRows) WriteRowsTo(w RowWriter) (int64, error) { 452 n, err := w.WriteRows(r.rows[r.index:]) 453 r.index += n 454 return int64(n), err 455 } 456 457 var ( 458 _ RowGroup = (*RowBuffer[any])(nil) 459 _ RowWriter = (*RowBuffer[any])(nil) 460 _ sort.Interface = (*RowBuffer[any])(nil) 461 462 _ RowWriterTo = (*rowBufferRows)(nil) 463 )