mito2/memtable/
simple_bulk_memtable.rs

1// Copyright 2023 Greptime Team
2//
3// Licensed under the Apache License, Version 2.0 (the "License");
4// you may not use this file except in compliance with the License.
5// You may obtain a copy of the License at
6//
7//     http://www.apache.org/licenses/LICENSE-2.0
8//
9// Unless required by applicable law or agreed to in writing, software
10// distributed under the License is distributed on an "AS IS" BASIS,
11// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12// See the License for the specific language governing permissions and
13// limitations under the License.
14
15#[cfg(any(test, feature = "test"))]
16mod test_only;
17
18use std::collections::HashSet;
19use std::fmt::{Debug, Formatter};
20use std::sync::atomic::{AtomicI64, AtomicU64, AtomicUsize, Ordering};
21use std::sync::{Arc, RwLock};
22use std::time::{Duration, Instant};
23
24use api::v1::OpType;
25use datatypes::vectors::Helper;
26use mito_codec::key_values::KeyValue;
27use rayon::prelude::*;
28use snafu::{OptionExt, ResultExt};
29use store_api::metadata::RegionMetadataRef;
30use store_api::storage::ColumnId;
31
32use crate::flush::WriteBufferManagerRef;
33use crate::memtable::bulk::part::BulkPart;
34use crate::memtable::stats::WriteMetrics;
35use crate::memtable::time_series::Series;
36use crate::memtable::{
37    AllocTracker, BatchToRecordBatchContext, BoxedBatchIterator, IterBuilder, KeyValues,
38    MemScanMetrics, Memtable, MemtableId, MemtableRange, MemtableRangeContext, MemtableRanges,
39    MemtableRef, MemtableStats, RangesOptions, read_column_ids_from_projection,
40};
41use crate::metrics::MEMTABLE_ACTIVE_SERIES_COUNT;
42use crate::read::Batch;
43use crate::read::dedup::LastNonNullIter;
44use crate::region::options::MergeMode;
45use crate::{error, metrics};
46
47pub struct SimpleBulkMemtable {
48    id: MemtableId,
49    region_metadata: RegionMetadataRef,
50    alloc_tracker: AllocTracker,
51    max_timestamp: AtomicI64,
52    min_timestamp: AtomicI64,
53    max_sequence: AtomicU64,
54    dedup: bool,
55    merge_mode: MergeMode,
56    num_rows: AtomicUsize,
57    series: RwLock<Series>,
58}
59
60impl Drop for SimpleBulkMemtable {
61    fn drop(&mut self) {
62        MEMTABLE_ACTIVE_SERIES_COUNT.dec();
63    }
64}
65
66impl SimpleBulkMemtable {
67    pub fn new(
68        id: MemtableId,
69        region_metadata: RegionMetadataRef,
70        write_buffer_manager: Option<WriteBufferManagerRef>,
71        dedup: bool,
72        merge_mode: MergeMode,
73    ) -> Self {
74        let series = RwLock::new(Series::with_capacity(&region_metadata, 1024, 8192));
75
76        Self {
77            id,
78            region_metadata,
79            alloc_tracker: AllocTracker::new(write_buffer_manager),
80            max_timestamp: AtomicI64::new(i64::MIN),
81            min_timestamp: AtomicI64::new(i64::MAX),
82            max_sequence: AtomicU64::new(0),
83            dedup,
84            merge_mode,
85            num_rows: AtomicUsize::new(0),
86            series,
87        }
88    }
89
90    fn build_projection(&self, projection: Option<&[ColumnId]>) -> HashSet<ColumnId> {
91        if let Some(projection) = projection {
92            projection.iter().copied().collect()
93        } else {
94            self.region_metadata
95                .field_columns()
96                .map(|c| c.column_id)
97                .collect()
98        }
99    }
100
101    fn write_key_value(&self, kv: KeyValue, stats: &mut WriteMetrics) {
102        let ts = kv.timestamp();
103        let sequence = kv.sequence();
104        let op_type = kv.op_type();
105        let mut series = self.series.write().unwrap();
106        let size = series.push(ts, sequence, op_type, kv.fields());
107        stats.value_bytes += size;
108        // safety: timestamp of kv must be both present and a valid timestamp value.
109        let ts = kv
110            .timestamp()
111            .try_into_timestamp()
112            .unwrap()
113            .unwrap()
114            .value();
115        stats.min_ts = stats.min_ts.min(ts);
116        stats.max_ts = stats.max_ts.max(ts);
117    }
118
119    /// Updates memtable stats.
120    fn update_stats(&self, stats: WriteMetrics) {
121        self.alloc_tracker
122            .on_allocation(stats.key_bytes + stats.value_bytes);
123        self.num_rows.fetch_add(stats.num_rows, Ordering::SeqCst);
124        self.max_timestamp.fetch_max(stats.max_ts, Ordering::SeqCst);
125        self.min_timestamp.fetch_min(stats.min_ts, Ordering::SeqCst);
126        self.max_sequence
127            .fetch_max(stats.max_sequence, Ordering::SeqCst);
128    }
129
130    #[cfg(test)]
131    fn schema(&self) -> &RegionMetadataRef {
132        &self.region_metadata
133    }
134}
135
136impl Debug for SimpleBulkMemtable {
137    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
138        f.debug_struct("SimpleBulkMemtable").finish()
139    }
140}
141
142impl Memtable for SimpleBulkMemtable {
143    fn id(&self) -> MemtableId {
144        self.id
145    }
146
147    fn write(&self, kvs: &KeyValues) -> error::Result<()> {
148        let mut stats = WriteMetrics::default();
149        let max_sequence = kvs.max_sequence();
150        for kv in kvs.iter() {
151            self.write_key_value(kv, &mut stats);
152        }
153        stats.max_sequence = max_sequence;
154        stats.num_rows = kvs.num_rows();
155        self.update_stats(stats);
156        Ok(())
157    }
158
159    fn write_one(&self, kv: KeyValue) -> error::Result<()> {
160        debug_assert_eq!(0, kv.num_primary_keys());
161        let mut stats = WriteMetrics::default();
162        self.write_key_value(kv, &mut stats);
163        stats.num_rows = 1;
164        stats.max_sequence = kv.sequence();
165        self.update_stats(stats);
166        Ok(())
167    }
168
169    fn write_bulk(&self, part: BulkPart) -> error::Result<()> {
170        let rb = &part.batch;
171
172        let ts = Helper::try_into_vector(
173            rb.column_by_name(&self.region_metadata.time_index_column().column_schema.name)
174                .with_context(|| error::InvalidRequestSnafu {
175                    region_id: self.region_metadata.region_id,
176                    reason: "Timestamp not found",
177                })?,
178        )
179        .context(error::ConvertVectorSnafu)?;
180
181        let sequence = part.sequence;
182
183        let fields: Vec<_> = self
184            .region_metadata
185            .field_columns()
186            .map(|f| {
187                let array = rb.column_by_name(&f.column_schema.name).ok_or_else(|| {
188                    error::InvalidRequestSnafu {
189                        region_id: self.region_metadata.region_id,
190                        reason: format!("Column {} not found", f.column_schema.name),
191                    }
192                    .build()
193                })?;
194                Helper::try_into_vector(array).context(error::ConvertVectorSnafu)
195            })
196            .collect::<error::Result<Vec<_>>>()?;
197
198        let mut series = self.series.write().unwrap();
199        let extend_timer = metrics::REGION_WORKER_HANDLE_WRITE_ELAPSED
200            .with_label_values(&["bulk_extend"])
201            .start_timer();
202        series.extend(ts, OpType::Put as u8, sequence, fields)?;
203        extend_timer.observe_duration();
204
205        self.update_stats(WriteMetrics {
206            key_bytes: 0,
207            value_bytes: part.estimated_size(),
208            min_ts: part.min_timestamp,
209            max_ts: part.max_timestamp,
210            num_rows: part.num_rows(),
211            max_sequence: sequence,
212        });
213        Ok(())
214    }
215
216    fn ranges(
217        &self,
218        projection: Option<&[ColumnId]>,
219        options: RangesOptions,
220    ) -> error::Result<MemtableRanges> {
221        let predicate = options.predicate;
222        let sequence = options.sequence;
223        let start_time = Instant::now();
224        let read_column_ids = read_column_ids_from_projection(&self.region_metadata, projection);
225        let projection = Arc::new(self.build_projection(projection));
226
227        // Use the memtable's overall time range and max sequence for all ranges
228        let max_sequence = self.max_sequence.load(Ordering::Relaxed);
229        let time_range = {
230            let num_rows = self.num_rows.load(Ordering::Relaxed);
231            if num_rows > 0 {
232                let ts_type = self.region_metadata.time_index_type();
233                let max_timestamp =
234                    ts_type.create_timestamp(self.max_timestamp.load(Ordering::Relaxed));
235                let min_timestamp =
236                    ts_type.create_timestamp(self.min_timestamp.load(Ordering::Relaxed));
237                Some((min_timestamp, max_timestamp))
238            } else {
239                None
240            }
241        };
242
243        let values = self.series.read().unwrap().read_to_values();
244        let batch_to_record_batch = Arc::new(BatchToRecordBatchContext::new(
245            self.region_metadata.clone(),
246            read_column_ids.clone(),
247        ));
248
249        let contexts = values
250            .into_par_iter()
251            .filter_map(|v| {
252                let filtered = match v.to_batch(
253                    &[],
254                    &self.region_metadata,
255                    &projection,
256                    sequence,
257                    self.dedup,
258                    self.merge_mode,
259                ) {
260                    Ok(filtered) => filtered,
261                    Err(e) => {
262                        return Some(Err(e));
263                    }
264                };
265                if filtered.is_empty() {
266                    None
267                } else {
268                    Some(Ok(filtered))
269                }
270            })
271            .map(|result| {
272                result.map(|batch| {
273                    let num_rows = batch.num_rows();
274                    let estimated_bytes = batch.memory_size();
275
276                    let range_stats = MemtableStats {
277                        estimated_bytes,
278                        time_range,
279                        num_rows,
280                        num_ranges: 1,
281                        max_sequence,
282                        series_count: 1,
283                    };
284
285                    let builder = BatchRangeBuilder {
286                        batch,
287                        merge_mode: self.merge_mode,
288                        scan_cost: start_time.elapsed(),
289                    };
290                    (
291                        range_stats,
292                        Arc::new(MemtableRangeContext::new_with_batch_to_record_batch(
293                            self.id,
294                            Box::new(builder),
295                            predicate.clone(),
296                            Some(batch_to_record_batch.clone()),
297                        )),
298                    )
299                })
300            })
301            .collect::<error::Result<Vec<_>>>()?;
302
303        let ranges = contexts
304            .into_iter()
305            .enumerate()
306            .map(|(idx, (range_stats, context))| (idx, MemtableRange::new(context, range_stats)))
307            .collect();
308
309        Ok(MemtableRanges { ranges })
310    }
311
312    fn is_empty(&self) -> bool {
313        self.series.read().unwrap().is_empty()
314    }
315
316    fn freeze(&self) -> error::Result<()> {
317        self.series.write().unwrap().freeze(&self.region_metadata);
318        Ok(())
319    }
320
321    fn stats(&self) -> MemtableStats {
322        let estimated_bytes = self.alloc_tracker.bytes_allocated();
323        let num_rows = self.num_rows.load(Ordering::Relaxed);
324        if num_rows == 0 {
325            // no rows ever written
326            return MemtableStats {
327                estimated_bytes,
328                time_range: None,
329                num_rows: 0,
330                num_ranges: 0,
331                max_sequence: 0,
332                series_count: 0,
333            };
334        }
335        let ts_type = self.region_metadata.time_index_type();
336        let max_timestamp = ts_type.create_timestamp(self.max_timestamp.load(Ordering::Relaxed));
337        let min_timestamp = ts_type.create_timestamp(self.min_timestamp.load(Ordering::Relaxed));
338        MemtableStats {
339            estimated_bytes,
340            time_range: Some((min_timestamp, max_timestamp)),
341            num_rows,
342            num_ranges: 1,
343            max_sequence: self.max_sequence.load(Ordering::Relaxed),
344            series_count: 1,
345        }
346    }
347
348    fn fork(&self, id: MemtableId, metadata: &RegionMetadataRef) -> MemtableRef {
349        Arc::new(Self::new(
350            id,
351            metadata.clone(),
352            self.alloc_tracker.write_buffer_manager(),
353            self.dedup,
354            self.merge_mode,
355        ))
356    }
357}
358
359#[derive(Clone)]
360pub struct BatchRangeBuilder {
361    pub batch: Batch,
362    pub merge_mode: MergeMode,
363    scan_cost: Duration,
364}
365
366impl IterBuilder for BatchRangeBuilder {
367    fn build(&self, metrics: Option<MemScanMetrics>) -> error::Result<BoxedBatchIterator> {
368        let batch = self.batch.clone();
369        if let Some(metrics) = metrics {
370            let inner = crate::memtable::MemScanMetricsData {
371                total_series: 1,
372                num_rows: batch.num_rows(),
373                num_batches: 1,
374                scan_cost: self.scan_cost,
375            };
376            metrics.merge_inner(&inner);
377        }
378
379        let iter = Iter {
380            batch: Some(Ok(batch)),
381        };
382
383        if self.merge_mode == MergeMode::LastNonNull {
384            Ok(Box::new(LastNonNullIter::new(iter)))
385        } else {
386            Ok(Box::new(iter))
387        }
388    }
389}
390
391struct Iter {
392    batch: Option<error::Result<Batch>>,
393}
394
395impl Iterator for Iter {
396    type Item = error::Result<Batch>;
397
398    fn next(&mut self) -> Option<Self::Item> {
399        self.batch.take()
400    }
401}
402
403#[cfg(test)]
404mod tests {
405    use std::sync::Arc;
406
407    use api::v1::helper::row;
408    use api::v1::value::ValueData;
409    use api::v1::{Mutation, OpType, Rows, SemanticType};
410    use common_recordbatch::DfRecordBatch;
411    use common_time::Timestamp;
412    use datatypes::arrow::array::{ArrayRef, Float64Array, RecordBatch, TimestampMillisecondArray};
413    use datatypes::arrow_array::StringArray;
414    use datatypes::data_type::ConcreteDataType;
415    use datatypes::prelude::{ScalarVector, Vector};
416    use datatypes::schema::ColumnSchema;
417    use datatypes::value::Value;
418    use datatypes::vectors::TimestampMillisecondVector;
419    use store_api::metadata::{ColumnMetadata, RegionMetadataBuilder};
420    use store_api::storage::{RegionId, SequenceNumber, SequenceRange};
421
422    use super::*;
423    use crate::read;
424    use crate::read::dedup::DedupReader;
425    use crate::read::merge::MergeReaderBuilder;
426    use crate::read::{BatchReader, Source};
427    use crate::region::options::MergeMode;
428    use crate::test_util::column_metadata_to_column_schema;
429
430    fn new_test_metadata() -> RegionMetadataRef {
431        let mut builder = RegionMetadataBuilder::new(1.into());
432        builder
433            .push_column_metadata(ColumnMetadata {
434                column_schema: ColumnSchema::new(
435                    "ts",
436                    ConcreteDataType::timestamp_millisecond_datatype(),
437                    false,
438                ),
439                semantic_type: SemanticType::Timestamp,
440                column_id: 1,
441            })
442            .push_column_metadata(ColumnMetadata {
443                column_schema: ColumnSchema::new("f1", ConcreteDataType::float64_datatype(), true),
444                semantic_type: SemanticType::Field,
445                column_id: 2,
446            })
447            .push_column_metadata(ColumnMetadata {
448                column_schema: ColumnSchema::new("f2", ConcreteDataType::string_datatype(), true),
449                semantic_type: SemanticType::Field,
450                column_id: 3,
451            });
452        Arc::new(builder.build().unwrap())
453    }
454
455    fn new_test_memtable(dedup: bool, merge_mode: MergeMode) -> SimpleBulkMemtable {
456        SimpleBulkMemtable::new(1, new_test_metadata(), None, dedup, merge_mode)
457    }
458
459    fn build_key_values(
460        metadata: &RegionMetadataRef,
461        sequence: SequenceNumber,
462        row_values: &[(i64, f64, String)],
463        op_type: OpType,
464    ) -> KeyValues {
465        let column_schemas: Vec<_> = metadata
466            .column_metadatas
467            .iter()
468            .map(column_metadata_to_column_schema)
469            .collect();
470
471        let rows: Vec<_> = row_values
472            .iter()
473            .map(|(ts, f1, f2)| {
474                row(vec![
475                    ValueData::TimestampMillisecondValue(*ts),
476                    ValueData::F64Value(*f1),
477                    ValueData::StringValue(f2.clone()),
478                ])
479            })
480            .collect();
481        let mutation = Mutation {
482            op_type: op_type as i32,
483            sequence,
484            rows: Some(Rows {
485                schema: column_schemas,
486                rows,
487            }),
488            write_hint: None,
489        };
490        KeyValues::new(metadata, mutation).unwrap()
491    }
492
493    #[test]
494    fn test_write_and_iter() {
495        let memtable = new_test_memtable(false, MergeMode::LastRow);
496        memtable
497            .write(&build_key_values(
498                &memtable.region_metadata,
499                0,
500                &[(1, 1.0, "a".to_string())],
501                OpType::Put,
502            ))
503            .unwrap();
504        memtable
505            .write(&build_key_values(
506                &memtable.region_metadata,
507                1,
508                &[(2, 2.0, "b".to_string())],
509                OpType::Put,
510            ))
511            .unwrap();
512
513        let mut iter = memtable
514            .ranges(None, RangesOptions::default())
515            .unwrap()
516            .build(None)
517            .unwrap();
518        let batch = iter.next().unwrap().unwrap();
519        assert_eq!(2, batch.num_rows());
520        assert_eq!(2, batch.fields().len());
521        let ts_v = batch
522            .timestamps()
523            .as_any()
524            .downcast_ref::<TimestampMillisecondVector>()
525            .unwrap();
526        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(1)), ts_v.get(0));
527        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(2)), ts_v.get(1));
528    }
529
530    #[test]
531    fn test_projection() {
532        let memtable = new_test_memtable(false, MergeMode::LastRow);
533        memtable
534            .write(&build_key_values(
535                &memtable.region_metadata,
536                0,
537                &[(1, 1.0, "a".to_string())],
538                OpType::Put,
539            ))
540            .unwrap();
541
542        let mut iter = memtable
543            .ranges(None, RangesOptions::default())
544            .unwrap()
545            .build(None)
546            .unwrap();
547        let batch = iter.next().unwrap().unwrap();
548        assert_eq!(1, batch.num_rows());
549        assert_eq!(2, batch.fields().len());
550
551        let ts_v = batch
552            .timestamps()
553            .as_any()
554            .downcast_ref::<TimestampMillisecondVector>()
555            .unwrap();
556        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(1)), ts_v.get(0));
557
558        // Only project column 2 (f1)
559        let projection = vec![2];
560        let mut iter = memtable
561            .ranges(Some(&projection), RangesOptions::default())
562            .unwrap()
563            .build(None)
564            .unwrap();
565        let batch = iter.next().unwrap().unwrap();
566
567        assert_eq!(1, batch.num_rows());
568        assert_eq!(1, batch.fields().len()); // only f1
569        assert_eq!(2, batch.fields()[0].column_id);
570    }
571
572    #[test]
573    fn test_dedup() {
574        let memtable = new_test_memtable(true, MergeMode::LastRow);
575        memtable
576            .write(&build_key_values(
577                &memtable.region_metadata,
578                0,
579                &[(1, 1.0, "a".to_string())],
580                OpType::Put,
581            ))
582            .unwrap();
583        memtable
584            .write(&build_key_values(
585                &memtable.region_metadata,
586                1,
587                &[(1, 2.0, "b".to_string())],
588                OpType::Put,
589            ))
590            .unwrap();
591        let mut iter = memtable
592            .ranges(None, RangesOptions::default())
593            .unwrap()
594            .build(None)
595            .unwrap();
596        let batch = iter.next().unwrap().unwrap();
597
598        assert_eq!(1, batch.num_rows()); // deduped to 1 row
599        assert_eq!(2.0, batch.fields()[0].data.get(0).as_f64_lossy().unwrap()); // last write wins
600    }
601
602    #[test]
603    fn test_write_one() {
604        let memtable = new_test_memtable(false, MergeMode::LastRow);
605        let kvs = build_key_values(
606            &memtable.region_metadata,
607            0,
608            &[(1, 1.0, "a".to_string())],
609            OpType::Put,
610        );
611        let kv = kvs.iter().next().unwrap();
612        memtable.write_one(kv).unwrap();
613
614        let mut iter = memtable
615            .ranges(None, RangesOptions::default())
616            .unwrap()
617            .build(None)
618            .unwrap();
619        let batch = iter.next().unwrap().unwrap();
620        assert_eq!(1, batch.num_rows());
621    }
622
623    #[tokio::test]
624    async fn test_write_dedup() {
625        let memtable = new_test_memtable(true, MergeMode::LastRow);
626        let kvs = build_key_values(
627            &memtable.region_metadata,
628            0,
629            &[(1, 1.0, "a".to_string())],
630            OpType::Put,
631        );
632        let kv = kvs.iter().next().unwrap();
633        memtable.write_one(kv).unwrap();
634        memtable.freeze().unwrap();
635
636        let kvs = build_key_values(
637            &memtable.region_metadata,
638            1,
639            &[(1, 1.0, "a".to_string())],
640            OpType::Delete,
641        );
642        let kv = kvs.iter().next().unwrap();
643        memtable.write_one(kv).unwrap();
644
645        let ranges = memtable.ranges(None, RangesOptions::default()).unwrap();
646        let mut source = vec![];
647        for r in ranges.ranges.values() {
648            source.push(Source::Iter(r.build_iter().unwrap()));
649        }
650
651        let reader = MergeReaderBuilder::from_sources(source)
652            .build()
653            .await
654            .unwrap();
655
656        let mut reader = DedupReader::new(reader, read::dedup::LastRow::new(false), None);
657        let mut num_rows = 0;
658        while let Some(b) = reader.next_batch().await.unwrap() {
659            num_rows += b.num_rows();
660        }
661        assert_eq!(num_rows, 1);
662    }
663
664    #[tokio::test]
665    async fn test_delete_only() {
666        let memtable = new_test_memtable(true, MergeMode::LastRow);
667        let kvs = build_key_values(
668            &memtable.region_metadata,
669            0,
670            &[(1, 1.0, "a".to_string())],
671            OpType::Delete,
672        );
673        let kv = kvs.iter().next().unwrap();
674        memtable.write_one(kv).unwrap();
675        memtable.freeze().unwrap();
676
677        let ranges = memtable.ranges(None, RangesOptions::default()).unwrap();
678        let mut source = vec![];
679        for r in ranges.ranges.values() {
680            source.push(Source::Iter(r.build_iter().unwrap()));
681        }
682
683        let reader = MergeReaderBuilder::from_sources(source)
684            .build()
685            .await
686            .unwrap();
687
688        let mut reader = DedupReader::new(reader, read::dedup::LastRow::new(false), None);
689        let mut num_rows = 0;
690        while let Some(b) = reader.next_batch().await.unwrap() {
691            num_rows += b.num_rows();
692            assert_eq!(b.num_rows(), 1);
693            assert_eq!(b.op_types().get_data(0).unwrap(), OpType::Delete as u8);
694        }
695        assert_eq!(num_rows, 1);
696    }
697
698    #[tokio::test]
699    async fn test_single_range() {
700        let memtable = new_test_memtable(true, MergeMode::LastRow);
701        let kvs = build_key_values(
702            &memtable.region_metadata,
703            0,
704            &[(1, 1.0, "a".to_string())],
705            OpType::Put,
706        );
707        memtable.write_one(kvs.iter().next().unwrap()).unwrap();
708
709        let kvs = build_key_values(
710            &memtable.region_metadata,
711            1,
712            &[(1, 2.0, "b".to_string())],
713            OpType::Put,
714        );
715        memtable.write_one(kvs.iter().next().unwrap()).unwrap();
716        memtable.freeze().unwrap();
717
718        let ranges = memtable.ranges(None, RangesOptions::default()).unwrap();
719        assert_eq!(ranges.ranges.len(), 1);
720        let range = ranges.ranges.into_values().next().unwrap();
721        let mut reader = range.context.builder.build(None).unwrap();
722
723        let mut num_rows = 0;
724        while let Some(b) = reader.next().transpose().unwrap() {
725            num_rows += b.num_rows();
726            assert_eq!(b.fields()[1].data.get(0).as_string(), Some("b".to_string()));
727        }
728        assert_eq!(num_rows, 1);
729    }
730
731    #[test]
732    fn test_write_bulk() {
733        let memtable = new_test_memtable(false, MergeMode::LastRow);
734        let arrow_schema = memtable.schema().schema.arrow_schema().clone();
735        let arrays = vec![
736            Arc::new(TimestampMillisecondArray::from(vec![1, 2])) as ArrayRef,
737            Arc::new(Float64Array::from(vec![1.0, 2.0])) as ArrayRef,
738            Arc::new(StringArray::from(vec!["a", "b"])) as ArrayRef,
739        ];
740        let rb = DfRecordBatch::try_new(arrow_schema, arrays).unwrap();
741
742        let part = BulkPart {
743            batch: rb,
744            sequence: 1,
745            min_timestamp: 1,
746            max_timestamp: 2,
747            timestamp_index: 0,
748            raw_data: None,
749        };
750        memtable.write_bulk(part).unwrap();
751
752        let mut iter = memtable
753            .ranges(None, RangesOptions::default())
754            .unwrap()
755            .build(None)
756            .unwrap();
757        let batch = iter.next().unwrap().unwrap();
758        assert_eq!(2, batch.num_rows());
759
760        let stats = memtable.stats();
761        assert_eq!(1, stats.max_sequence);
762        assert_eq!(2, stats.num_rows);
763        assert_eq!(
764            Some((Timestamp::new_millisecond(1), Timestamp::new_millisecond(2))),
765            stats.time_range
766        );
767
768        let kvs = build_key_values(
769            &memtable.region_metadata,
770            2,
771            &[(3, 3.0, "c".to_string())],
772            OpType::Put,
773        );
774        memtable.write(&kvs).unwrap();
775        let mut iter = memtable
776            .ranges(None, RangesOptions::default())
777            .unwrap()
778            .build(None)
779            .unwrap();
780        let batch = iter.next().unwrap().unwrap();
781        assert_eq!(3, batch.num_rows());
782        assert_eq!(
783            vec![1, 2, 3],
784            batch
785                .timestamps()
786                .as_any()
787                .downcast_ref::<TimestampMillisecondVector>()
788                .unwrap()
789                .iter_data()
790                .map(|t| { t.unwrap().0.value() })
791                .collect::<Vec<_>>()
792        );
793    }
794
795    #[test]
796    fn test_is_empty() {
797        let memtable = new_test_memtable(false, MergeMode::LastRow);
798        assert!(memtable.is_empty());
799
800        memtable
801            .write(&build_key_values(
802                &memtable.region_metadata,
803                0,
804                &[(1, 1.0, "a".to_string())],
805                OpType::Put,
806            ))
807            .unwrap();
808        assert!(!memtable.is_empty());
809    }
810
811    #[test]
812    fn test_stats() {
813        let memtable = new_test_memtable(false, MergeMode::LastRow);
814        let stats = memtable.stats();
815        assert_eq!(0, stats.num_rows);
816        assert!(stats.time_range.is_none());
817
818        memtable
819            .write(&build_key_values(
820                &memtable.region_metadata,
821                0,
822                &[(1, 1.0, "a".to_string())],
823                OpType::Put,
824            ))
825            .unwrap();
826        let stats = memtable.stats();
827        assert_eq!(1, stats.num_rows);
828        assert!(stats.time_range.is_some());
829    }
830
831    #[test]
832    fn test_fork() {
833        let memtable = new_test_memtable(false, MergeMode::LastRow);
834        memtable
835            .write(&build_key_values(
836                &memtable.region_metadata,
837                0,
838                &[(1, 1.0, "a".to_string())],
839                OpType::Put,
840            ))
841            .unwrap();
842
843        let forked = memtable.fork(2, &memtable.region_metadata);
844        assert!(forked.is_empty());
845    }
846
847    #[test]
848    fn test_sequence_filter() {
849        let memtable = new_test_memtable(false, MergeMode::LastRow);
850        memtable
851            .write(&build_key_values(
852                &memtable.region_metadata,
853                0,
854                &[(1, 1.0, "a".to_string())],
855                OpType::Put,
856            ))
857            .unwrap();
858        memtable
859            .write(&build_key_values(
860                &memtable.region_metadata,
861                1,
862                &[(2, 2.0, "b".to_string())],
863                OpType::Put,
864            ))
865            .unwrap();
866
867        // Filter with sequence 0 should only return first write
868        let mut iter = memtable
869            .ranges(
870                None,
871                RangesOptions {
872                    sequence: Some(SequenceRange::LtEq { max: 0 }),
873                    ..Default::default()
874                },
875            )
876            .unwrap()
877            .build(None)
878            .unwrap();
879        let batch = iter.next().unwrap().unwrap();
880        assert_eq!(1, batch.num_rows());
881        assert_eq!(1.0, batch.fields()[0].data.get(0).as_f64_lossy().unwrap());
882    }
883
884    fn rb_with_large_string(
885        ts: i64,
886        string_len: i32,
887        region_meta: &RegionMetadataRef,
888    ) -> RecordBatch {
889        let schema = region_meta.schema.arrow_schema().clone();
890        RecordBatch::try_new(
891            schema,
892            vec![
893                Arc::new(StringArray::from_iter_values(
894                    ["a".repeat(string_len as usize).clone()].into_iter(),
895                )) as ArrayRef,
896                Arc::new(TimestampMillisecondArray::from_iter_values(
897                    [ts].into_iter(),
898                )) as ArrayRef,
899            ],
900        )
901        .unwrap()
902    }
903
904    #[tokio::test]
905    async fn test_write_read_large_string() {
906        let mut builder = RegionMetadataBuilder::new(RegionId::new(123, 456));
907        builder
908            .push_column_metadata(ColumnMetadata {
909                column_schema: ColumnSchema::new("k0", ConcreteDataType::string_datatype(), false),
910                semantic_type: SemanticType::Field,
911                column_id: 0,
912            })
913            .push_column_metadata(ColumnMetadata {
914                column_schema: ColumnSchema::new(
915                    "ts",
916                    ConcreteDataType::timestamp_millisecond_datatype(),
917                    false,
918                ),
919                semantic_type: SemanticType::Timestamp,
920                column_id: 1,
921            })
922            .primary_key(vec![]);
923        let region_meta = Arc::new(builder.build().unwrap());
924        let memtable =
925            SimpleBulkMemtable::new(0, region_meta.clone(), None, true, MergeMode::LastRow);
926        memtable
927            .write_bulk(BulkPart {
928                batch: rb_with_large_string(0, i32::MAX, &region_meta),
929                max_timestamp: 0,
930                min_timestamp: 0,
931                sequence: 0,
932                timestamp_index: 1,
933                raw_data: None,
934            })
935            .unwrap();
936
937        memtable.freeze().unwrap();
938        memtable
939            .write_bulk(BulkPart {
940                batch: rb_with_large_string(1, 3, &region_meta),
941                max_timestamp: 1,
942                min_timestamp: 1,
943                sequence: 1,
944                timestamp_index: 1,
945                raw_data: None,
946            })
947            .unwrap();
948        let MemtableRanges { ranges, .. } =
949            memtable.ranges(None, RangesOptions::default()).unwrap();
950        let mut source = if ranges.len() == 1 {
951            let only_range = ranges.into_values().next().unwrap();
952            Source::Iter(only_range.build_iter().unwrap())
953        } else {
954            let sources = ranges
955                .into_values()
956                .map(|r| r.build_iter().map(Source::Iter))
957                .collect::<error::Result<Vec<_>>>()
958                .unwrap();
959            let merge_reader = MergeReaderBuilder::from_sources(sources)
960                .build()
961                .await
962                .unwrap();
963            Source::Reader(Box::new(merge_reader))
964        };
965
966        let mut rows = 0;
967        while let Some(b) = source.next_batch().await.unwrap() {
968            rows += b.num_rows();
969        }
970        assert_eq!(rows, 2);
971    }
972
973    #[test]
974    fn test_build_record_batch_iter_from_memtable() {
975        let memtable = new_test_memtable(false, MergeMode::LastRow);
976
977        let kvs = build_key_values(
978            &memtable.region_metadata,
979            0,
980            &[(1, 1.0, "a".to_string()), (2, 2.0, "b".to_string())],
981            OpType::Put,
982        );
983        memtable.write(&kvs).unwrap();
984
985        let read_column_ids: Vec<ColumnId> = memtable
986            .region_metadata
987            .column_metadatas
988            .iter()
989            .map(|c| c.column_id)
990            .collect();
991        let ranges = memtable
992            .ranges(Some(&read_column_ids), RangesOptions::default())
993            .unwrap();
994        assert!(!ranges.ranges.is_empty());
995
996        let mut total_rows = 0;
997        for range in ranges.ranges.into_values() {
998            let mut iter = range.build_record_batch_iter(None, None).unwrap();
999            while let Some(rb) = iter.next().transpose().unwrap() {
1000                total_rows += rb.num_rows();
1001                let schema = rb.schema();
1002                let column_names: Vec<_> =
1003                    schema.fields().iter().map(|f| f.name().as_str()).collect();
1004                assert_eq!(
1005                    column_names,
1006                    vec!["f1", "f2", "ts", "__primary_key", "__sequence", "__op_type"]
1007                );
1008            }
1009        }
1010        assert_eq!(2, total_rows);
1011    }
1012}
mito2/memtable/simple_bulk_memtable.rs

mito2/memtable/
simple_bulk_memtable.rs
