polars-stream 0.54.2

Private crate for the streaming execution engine for the Polars DataFrame library
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
use std::io::Cursor;
use std::ops::Range;
use std::sync::Arc;

use arrow::io::ipc::read::{Dictionaries, read_dictionary_block};
use async_trait::async_trait;
use polars_async::executor::{self, JoinHandle, TaskPriority};
use polars_async::primitives::wait_group::{WaitGroup, WaitToken};
use polars_buffer::Buffer;
use polars_config::config;
use polars_core::prelude::DataType;
use polars_core::runtime::ASYNC;
use polars_core::schema::{Schema, SchemaExt};
use polars_core::utils::arrow::io::ipc::read::{
    BlockReader, FileMetadata, ProjectionInfo, prepare_projection, read_file_metadata,
};
use polars_error::constants::LENGTH_LIMIT_MSG;
use polars_error::{ErrString, PolarsError, PolarsResult, polars_err, to_compute_err};
use polars_io::cloud::CloudOptions;
use polars_io::ipc::IpcScanOptions;
use polars_io::ipc::pl_ipc_metadata::{POLARS_IPC_METADATA_KEY, PlIpcMetadata};
use polars_io::utils::byte_source::{
    BufferByteSource, ByteSource, DynByteSource, DynByteSourceBuilder,
};
use polars_io::utils::slice::SplitSlicePosition;
use polars_plan::dsl::ScanSource;
use polars_utils::IdxSize;
use polars_utils::bool::UnsafeBool;
use polars_utils::mem::prefetch::get_memory_prefetch_func;
use polars_utils::scratch_vec::ScratchVec;
use polars_utils::slice_enum::Slice;
use record_batch_data_fetch::RecordBatchDataFetcher;
use record_batch_decode::RecordBatchDecoder;

use super::multi_scan::reader_interface::BeginReadArgs;
use super::multi_scan::reader_interface::output::FileReaderOutputRecv;
use crate::metrics::OptIOMetrics;
use crate::morsel::{Morsel, MorselSeq, SourceToken, get_ideal_morsel_size};
use crate::nodes::io_sources::ipc::metadata::read_ipc_metadata_bytes;
use crate::nodes::io_sources::multi_scan::reader_interface::output::FileReaderOutputSend;
use crate::nodes::io_sources::multi_scan::reader_interface::{
    FileReader, FileReaderCallbacks, Projection, calc_row_position_after_slice,
};
use crate::nodes::io_sources::parquet::init::split_to_morsels;
use crate::utils::tokio_handle_ext::AbortOnDropHandle;

pub mod builder;
mod metadata;
mod record_batch_data_fetch;
mod record_batch_decode;

const ROW_COUNT_OVERFLOW_ERR: PolarsError = PolarsError::ComputeError(ErrString::new_static(
    "\
IPC file produces more than 2^32 rows; \
consider compiling with polars-bigidx feature (pip install polars[rt64])",
));

struct IpcFileReader {
    scan_source: ScanSource,
    cloud_options: Option<Arc<CloudOptions>>,
    config: Arc<IpcScanOptions>,
    metadata: Option<Arc<FileMetadata>>,
    byte_source_builder: DynByteSourceBuilder,
    record_batch_prefetch_sync: RecordBatchPrefetchSync,
    io_metrics: OptIOMetrics,
    verbose: bool,
    init_data: Option<InitializedState>,
    checked: UnsafeBool,
}

struct RecordBatchPrefetchSync {
    prefetch_limit: usize,
    prefetch_semaphore: Arc<tokio::sync::Semaphore>,
    shared_prefetch_wait_group_slot: Arc<std::sync::Mutex<Option<WaitGroup>>>,

    /// Waits for the previous reader to finish spawning prefetches.
    prev_all_spawned: Option<WaitGroup>,
    /// Dropped once the current reader has finished spawning prefetches.
    current_all_spawned: Option<WaitToken>,
}

#[derive(Clone)]
struct InitializedState {
    file_metadata: Arc<FileMetadata>,
    file_pl_metadata: Option<Arc<PlIpcMetadata>>,
    byte_source: Arc<DynByteSource>,
    dictionaries: Arc<Option<Dictionaries>>,
}

#[async_trait]
impl FileReader for IpcFileReader {
    async fn initialize(&mut self) -> PolarsResult<()> {
        if self.init_data.is_some() {
            return Ok(());
        }

        let verbose = self.verbose;
        let scan_source = self.scan_source.clone();
        let byte_source_builder = self.byte_source_builder.clone();
        let cloud_options = self.cloud_options.clone();
        let io_metrics = self.io_metrics.clone();

        let byte_source = ASYNC
            .spawn(async move {
                scan_source
                    .as_scan_source_ref()
                    .to_dyn_byte_source(
                        &byte_source_builder,
                        cloud_options.as_deref(),
                        io_metrics.0,
                    )
                    .await
            })
            .await
            .unwrap()?;

        let mut byte_source = Arc::new(byte_source);

        let file_metadata = if let Some(v) = self.metadata.clone() {
            v
        } else {
            let (metadata_bytes, opt_full_bytes) = {
                let byte_source = byte_source.clone();

                ASYNC
                    .spawn(async move { read_ipc_metadata_bytes(&byte_source, verbose).await })
                    .await
                    .unwrap()?
            };

            if let Some(full_bytes) = opt_full_bytes {
                byte_source = Arc::new(DynByteSource::Buffer(BufferByteSource(full_bytes)));
            }

            Arc::new(read_file_metadata(&mut std::io::Cursor::new(
                metadata_bytes,
            ))?)
        };

        let dictionaries = {
            let byte_source_async = byte_source.clone();
            let metadata_async = file_metadata.clone();
            let checked = self.checked;
            let dictionaries = ASYNC
                .spawn(async move {
                    read_dictionaries(&byte_source_async, metadata_async, verbose, checked).await
                })
                .await
                .unwrap()?;
            Arc::new(Some(dictionaries))
        };

        let file_pl_metadata = file_metadata
            .custom_metadata
            .as_ref()
            .and_then(|md| md.get(POLARS_IPC_METADATA_KEY))
            .map(|md_str| serde_json::from_str::<PlIpcMetadata>(md_str))
            .transpose()
            .map_err(to_compute_err)?
            .map(Arc::new);

        self.init_data = Some(InitializedState {
            file_metadata,
            byte_source,
            dictionaries,
            file_pl_metadata,
        });

        Ok(())
    }

    fn prepare_read(&mut self) -> PolarsResult<()> {
        let wait_group_this_reader = WaitGroup::default();
        let prefetch_all_spawned_token = wait_group_this_reader.token();

        let prev_wait_group: Option<WaitGroup> = self
            .record_batch_prefetch_sync
            .shared_prefetch_wait_group_slot
            .try_lock()
            .unwrap()
            .replace(wait_group_this_reader);

        self.record_batch_prefetch_sync.prev_all_spawned = prev_wait_group;
        self.record_batch_prefetch_sync.current_all_spawned = Some(prefetch_all_spawned_token);

        Ok(())
    }

    fn begin_read(
        &mut self,
        args: BeginReadArgs,
    ) -> PolarsResult<(FileReaderOutputRecv, JoinHandle<PolarsResult<()>>)> {
        let verbose = self.verbose;

        // Initialize.
        let InitializedState {
            file_metadata,
            file_pl_metadata,
            byte_source,
            dictionaries,
        } = self.init_data.clone().unwrap();

        let BeginReadArgs {
            projection: Projection::Plain(projected_schema),
            row_index,
            pre_slice: pre_slice_arg,
            predicate: None,
            cast_columns_policy: _,
            num_pipelines,
            disable_morsel_split,
            last_morsel_pipelines,
            callbacks:
                FileReaderCallbacks {
                    file_schema_tx,
                    mut n_rows_in_file_tx,
                    mut row_position_on_end_tx,
                },
        } = args
        else {
            panic!("unsupported args: {:?}", &args)
        };

        debug_assert!(!matches!(pre_slice_arg, Some(Slice::Negative { .. })));

        let file_schema_pl = std::cell::LazyCell::new(|| {
            Arc::new(Schema::from_arrow_schema(file_metadata.schema.as_ref()))
        });

        // Handle callbacks that are ready now.
        if let Some(file_schema_tx) = file_schema_tx {
            _ = file_schema_tx.send(file_schema_pl.clone());
        }

        // Always create a slice. If no slice was given, just make the biggest slice possible.
        let slice_range: Range<usize> = pre_slice_arg
            .clone()
            .map_or(0..usize::MAX, Range::<usize>::from);

        // Avoid materializing projection info if we are projecting all the columns of this file.
        let projection_indices: Option<Arc<[usize]>> = if let Some(first_mismatch_idx) =
            (0..usize::min(file_metadata.schema.len(), projected_schema.len())).find(|&i| {
                file_metadata.schema.get_at_index(i).unwrap().0
                    != projected_schema.get_at_index(i).unwrap().0
            }) {
            Some(
                (0..first_mismatch_idx)
                    .chain(
                        (first_mismatch_idx..projected_schema.len()).filter_map(|i| {
                            file_metadata
                                .schema
                                .index_of(projected_schema.get_at_index(i).unwrap().0)
                        }),
                    )
                    .collect(),
            )
        } else if file_metadata.schema.len() > projected_schema.len() {
            // Names match up to projected schema len.
            Some((0..projected_schema.len()).collect())
        } else {
            // Name order matches up to `file_metadata.schema.len()`, we are projecting all columns
            // in this file.
            None
        };

        // Unstable.
        let read_statistics_flags = self.config.record_batch_statistics;

        if verbose {
            eprintln!(
                "[IpcFileReader]: \
                project: {} / {}, \
                pre_slice: {:?}, \
                read_record_batch_statistics_flags: {}\
                ",
                projection_indices
                    .as_ref()
                    .map_or(file_metadata.schema.len(), |x| x.len()),
                file_metadata.schema.len(),
                pre_slice_arg,
                read_statistics_flags
            )
        }

        let projection_info: Option<ProjectionInfo> = projection_indices
            .as_deref()
            .map(|indices| prepare_projection(&file_metadata.schema, indices.to_vec()));
        let projection_info = Arc::new(projection_info);

        let schema = projection_info.as_ref().as_ref().map_or(
            file_metadata.schema.as_ref(),
            |ProjectionInfo { schema, .. }| schema,
        );
        let pl_schema = Arc::new(
            schema
                .iter()
                .map(|(n, f)| (n.clone(), DataType::from_arrow_field(f)))
                .collect::<Schema>(),
        );

        // Prepare parameters for Prefetch
        let memory_prefetch_func = get_memory_prefetch_func(verbose);

        let record_batch_prefetch_size = self
            .record_batch_prefetch_sync
            .prefetch_limit
            .min(file_metadata.blocks.len())
            .max(1);

        let ideal_morsel_size = get_ideal_morsel_size();

        if verbose {
            eprintln!(
                "[IpcFileReader]: num_pipelines: {num_pipelines}, record_batch_prefetch_size: {record_batch_prefetch_size}, ideal_morsel_size: {ideal_morsel_size}"
            );
            eprintln!(
                "[IpcFileReader]: record batch count: {:?}",
                file_metadata.blocks.len()
            );
        }

        let record_batch_decoder = Arc::new(RecordBatchDecoder {
            file_metadata: file_metadata.clone(),
            pl_schema,
            projection_info,
            dictionaries: dictionaries.clone(),
            row_index,
            read_statistics_flags,
            checked: self.checked,
        });

        // Set up channels.
        let (prefetch_send, mut prefetch_recv) =
            tokio::sync::mpsc::channel(record_batch_prefetch_size);
        let (decode_send, mut decode_recv) = tokio::sync::mpsc::channel(num_pipelines);
        let (mut morsel_send, morsel_recv) = FileReaderOutputSend::new_serial();

        let rb_prefetch_semaphore = Arc::clone(&self.record_batch_prefetch_sync.prefetch_semaphore);
        let rb_prefetch_prev_all_spawned =
            Option::take(&mut self.record_batch_prefetch_sync.prev_all_spawned);
        let rb_prefetch_current_all_spawned =
            Option::take(&mut self.record_batch_prefetch_sync.current_all_spawned);

        // Task: Prefetch.
        let byte_source = byte_source.clone();
        let mut base_rb_metadata_fetch_count: u64 = 0;

        let prefetch_task = AbortOnDropHandle(ASYNC.spawn(async move {
            let record_batch_cum_len = if let Some(file_pl_metadata) = file_pl_metadata {
                struct CumLenWrap(Arc<PlIpcMetadata>);

                impl AsRef<[IdxSize]> for CumLenWrap {
                    fn as_ref(&self) -> &[IdxSize] {
                        self.0.record_batch_cum_len.as_slice()
                    }
                }

                Some(Buffer::from_owner(CumLenWrap(file_pl_metadata)))
            } else if pre_slice_arg.is_some()
                || n_rows_in_file_tx.is_some()
                || row_position_on_end_tx.is_some()
            {
                let mut metadata_ranges: Vec<Range<usize>> = file_metadata
                    .blocks
                    .iter()
                    .map(|block| {
                        block.offset as usize
                            ..block.offset as usize + block.meta_data_length as usize
                    })
                    .collect();

                base_rb_metadata_fetch_count += metadata_ranges.len() as u64;

                if config().verbose() {
                    eprintln!(
                        "[IpcFileReader]: Read all record batch metadata (num_batches: {})",
                        metadata_ranges.len()
                    )
                }

                let record_batch_metadata_map = byte_source
                    .get_ranges(metadata_ranges.as_mut_slice())
                    .await?;

                let mut message_scratch = ScratchVec::default();

                Some(
                    file_metadata
                        .blocks
                        .iter()
                        .map(|block| {
                            let fetched_bytes = record_batch_metadata_map
                                .get(&(block.offset as usize))
                                .unwrap();

                            let mut reader =
                                BlockReader::new(Cursor::new(fetched_bytes.as_slice()));
                            reader
                                .record_batch_num_rows(message_scratch.get())?
                                .try_into()
                                .map_err(|_| polars_err!(ComputeError: LENGTH_LIMIT_MSG))
                        })
                        .scan(0, |offset: &mut IdxSize, v: PolarsResult<IdxSize>| {
                            Some(v.and_then(|num_rows_this_batch| {
                                *offset = offset
                                    .checked_add(num_rows_this_batch)
                                    .ok_or_else(|| polars_err!(ComputeError: LENGTH_LIMIT_MSG))?;

                                Ok(*offset)
                            }))
                        })
                        .collect::<PolarsResult<_>>()?,
                )
            } else {
                None
            };

            if let Some(record_batch_cum_len) = record_batch_cum_len.as_deref() {
                let n_rows_in_file = record_batch_cum_len.last().copied().unwrap_or(0);

                if let Some(n_rows_in_file_tx) = n_rows_in_file_tx.take() {
                    _ = n_rows_in_file_tx.send(n_rows_in_file);
                }

                if let Some(row_position_on_end_tx) = row_position_on_end_tx.take() {
                    _ = row_position_on_end_tx.send(calc_row_position_after_slice(
                        n_rows_in_file,
                        pre_slice_arg.clone(),
                    ));
                }
            }

            let record_batch_data_fetcher = RecordBatchDataFetcher {
                file_metadata,
                record_batch_cum_len,

                byte_source,
                memory_prefetch_func,

                subset_projection_idxs: projection_indices,
                pre_slice: pre_slice_arg,

                prefetch_send,
                base_rb_metadata_fetch_count,

                rb_prefetch_semaphore,
                rb_prefetch_current_all_spawned,
            };

            if let Some(rb_prefetch_prev_all_spawned) = rb_prefetch_prev_all_spawned {
                rb_prefetch_prev_all_spawned.wait().await;
            }

            record_batch_data_fetcher.run().await
        }));

        // Receives fetched record batches and synchronizes row position, then calls decode.
        let decode_dispatch_task = AbortOnDropHandle(ASYNC.spawn(async move {
            let mut current_row_offset: IdxSize = 0;

            while let Some((prefetch_task, permit)) = prefetch_recv.recv().await {
                let mut record_batch_data = prefetch_task.await.unwrap()?;

                match record_batch_data.row_offset {
                    Some(row_offset) => current_row_offset = row_offset,
                    None => record_batch_data.row_offset = Some(current_row_offset),
                };

                // Fetch every record batch so we can track the total row count.
                let rb_num_rows = record_batch_data.num_rows;
                let rb_num_rows =
                    IdxSize::try_from(rb_num_rows).map_err(|_| ROW_COUNT_OVERFLOW_ERR)?;

                // Only pass to decoder if we need the data.
                let record_batch_position = SplitSlicePosition::split_slice_at_file(
                    current_row_offset as usize,
                    rb_num_rows as usize,
                    slice_range.clone(),
                );

                current_row_offset = current_row_offset
                    .checked_add(rb_num_rows)
                    .ok_or(ROW_COUNT_OVERFLOW_ERR)?;

                match record_batch_position {
                    SplitSlicePosition::Before => continue,
                    SplitSlicePosition::Overlapping(rows_offset, rows_len) => {
                        let record_batch_decoder = record_batch_decoder.clone();
                        let decode_fut = executor::spawn(TaskPriority::High, async move {
                            record_batch_decoder
                                .record_batch_data_to_df(record_batch_data, rows_offset, rows_len)
                                .await
                        });
                        if decode_send.send((decode_fut, permit)).await.is_err() {
                            break;
                        }
                    },
                    SplitSlicePosition::After => break,
                };
            }

            PolarsResult::Ok(())
        }));

        // Task: Distributor.
        // Distributes morsels across pipelines. This does not perform any CPU or I/O bound work -
        // it is purely a dispatch loop. Run on the computational executor to reduce context switches.
        //
        // `last_morsel_pipelines` is precomputed at the multi-scan layer so the split budget is
        // shared across files in the scan.
        let distribute_task = executor::spawn(TaskPriority::High, async move {
            let mut morsel_seq = MorselSeq::default();
            // Note: We don't use this (it is handled by the bridge). But morsels require a source token.
            let source_token = SourceToken::new();

            // Decode first non-empty morsel.
            let mut next = None;
            loop {
                let Some((decode_fut, permit)) = decode_recv.recv().await else {
                    break;
                };
                let df = decode_fut.await?;
                if df.height() == 0 {
                    continue;
                }

                if disable_morsel_split {
                    if morsel_send
                        .send_morsel(Morsel::new(df, morsel_seq, source_token.clone()))
                        .await
                        .is_err()
                    {
                        return Ok(());
                    }
                    drop(permit);
                    morsel_seq = morsel_seq.successor();
                    continue;
                }

                next = Some((df, permit));
                break;
            }

            while let Some((df, permit)) = next.take() {
                // Try to decode the next non-empty morsel first, so we know
                // whether the df is the last morsel.

                // Important: Drop this before awaiting the next one, or could
                // deadlock if the permit limit is 1.
                drop(permit);
                loop {
                    let Some((decode_fut, permit)) = decode_recv.recv().await else {
                        break;
                    };
                    let next_df = decode_fut.await?;
                    if next_df.height() == 0 {
                        continue;
                    }
                    next = Some((next_df, permit));
                    break;
                }

                for df in split_to_morsels(
                    &df,
                    ideal_morsel_size,
                    next.is_none(),
                    last_morsel_pipelines,
                ) {
                    if morsel_send
                        .send_morsel(Morsel::new(df, morsel_seq, source_token.clone()))
                        .await
                        .is_err()
                    {
                        return Ok(());
                    }
                    morsel_seq = morsel_seq.successor();
                }
            }
            PolarsResult::Ok(())
        });

        // Orchestration.
        let join_task = ASYNC.spawn(async move {
            prefetch_task.await.unwrap()?;
            decode_dispatch_task.await.unwrap()?;
            distribute_task.await?;
            Ok(())
        });

        let handle = AbortOnDropHandle(join_task);

        Ok((
            morsel_recv,
            executor::spawn(TaskPriority::Low, async move { handle.await.unwrap() }),
        ))
    }
}

async fn read_dictionaries(
    byte_source: &DynByteSource,
    file_metadata: Arc<FileMetadata>,
    verbose: bool,
    checked: UnsafeBool,
) -> PolarsResult<Dictionaries> {
    let blocks = if let Some(blocks) = &file_metadata.dictionaries {
        blocks
    } else {
        return Ok(Dictionaries::default());
    };

    if verbose {
        eprintln!("[IpcFileReader]: reading dictionaries ({:?})", blocks.len());
    }

    let mut dictionaries = Dictionaries::default();

    let mut message_scratch = Vec::new();
    let mut dictionary_scratch = Vec::new();

    for block in blocks {
        let range = block.offset as usize
            ..block.offset as usize + block.meta_data_length as usize + block.body_length as usize;
        let bytes = byte_source.get_range(range).await?;

        let mut reader = BlockReader::new(Cursor::new(bytes.as_ref()));

        read_dictionary_block(
            &mut reader.reader,
            file_metadata.as_ref(),
            block,
            true,
            &mut dictionaries,
            &mut message_scratch,
            &mut dictionary_scratch,
            checked,
        )?;
    }

    Ok(dictionaries)
}