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                ..Default::default()
376            };
377            metrics.merge_inner(&inner);
378        }
379
380        let iter = Iter {
381            batch: Some(Ok(batch)),
382        };
383
384        if self.merge_mode == MergeMode::LastNonNull {
385            Ok(Box::new(LastNonNullIter::new(iter)))
386        } else {
387            Ok(Box::new(iter))
388        }
389    }
390}
391
392struct Iter {
393    batch: Option<error::Result<Batch>>,
394}
395
396impl Iterator for Iter {
397    type Item = error::Result<Batch>;
398
399    fn next(&mut self) -> Option<Self::Item> {
400        self.batch.take()
401    }
402}
403
404#[cfg(test)]
405mod tests {
406    use std::sync::Arc;
407
408    use api::v1::helper::row;
409    use api::v1::value::ValueData;
410    use api::v1::{Mutation, OpType, Rows, SemanticType};
411    use common_recordbatch::DfRecordBatch;
412    use common_time::Timestamp;
413    use datatypes::arrow::array::{ArrayRef, Float64Array, RecordBatch, TimestampMillisecondArray};
414    use datatypes::arrow_array::StringArray;
415    use datatypes::data_type::ConcreteDataType;
416    use datatypes::prelude::{ScalarVector, Vector};
417    use datatypes::schema::ColumnSchema;
418    use datatypes::value::Value;
419    use datatypes::vectors::TimestampMillisecondVector;
420    use store_api::metadata::{ColumnMetadata, RegionMetadataBuilder};
421    use store_api::storage::{RegionId, SequenceNumber, SequenceRange};
422
423    use super::*;
424    use crate::region::options::MergeMode;
425    use crate::test_util::column_metadata_to_column_schema;
426
427    fn new_test_metadata() -> RegionMetadataRef {
428        let mut builder = RegionMetadataBuilder::new(1.into());
429        builder
430            .push_column_metadata(ColumnMetadata {
431                column_schema: ColumnSchema::new(
432                    "ts",
433                    ConcreteDataType::timestamp_millisecond_datatype(),
434                    false,
435                ),
436                semantic_type: SemanticType::Timestamp,
437                column_id: 1,
438            })
439            .push_column_metadata(ColumnMetadata {
440                column_schema: ColumnSchema::new("f1", ConcreteDataType::float64_datatype(), true),
441                semantic_type: SemanticType::Field,
442                column_id: 2,
443            })
444            .push_column_metadata(ColumnMetadata {
445                column_schema: ColumnSchema::new("f2", ConcreteDataType::string_datatype(), true),
446                semantic_type: SemanticType::Field,
447                column_id: 3,
448            });
449        Arc::new(builder.build().unwrap())
450    }
451
452    fn new_test_memtable(dedup: bool, merge_mode: MergeMode) -> SimpleBulkMemtable {
453        SimpleBulkMemtable::new(1, new_test_metadata(), None, dedup, merge_mode)
454    }
455
456    fn build_key_values(
457        metadata: &RegionMetadataRef,
458        sequence: SequenceNumber,
459        row_values: &[(i64, f64, String)],
460        op_type: OpType,
461    ) -> KeyValues {
462        let column_schemas: Vec<_> = metadata
463            .column_metadatas
464            .iter()
465            .map(column_metadata_to_column_schema)
466            .collect();
467
468        let rows: Vec<_> = row_values
469            .iter()
470            .map(|(ts, f1, f2)| {
471                row(vec![
472                    ValueData::TimestampMillisecondValue(*ts),
473                    ValueData::F64Value(*f1),
474                    ValueData::StringValue(f2.clone()),
475                ])
476            })
477            .collect();
478        let mutation = Mutation {
479            op_type: op_type as i32,
480            sequence,
481            rows: Some(Rows {
482                schema: column_schemas,
483                rows,
484            }),
485            write_hint: None,
486        };
487        KeyValues::new(metadata, mutation).unwrap()
488    }
489
490    #[test]
491    fn test_write_and_iter() {
492        let memtable = new_test_memtable(false, MergeMode::LastRow);
493        memtable
494            .write(&build_key_values(
495                &memtable.region_metadata,
496                0,
497                &[(1, 1.0, "a".to_string())],
498                OpType::Put,
499            ))
500            .unwrap();
501        memtable
502            .write(&build_key_values(
503                &memtable.region_metadata,
504                1,
505                &[(2, 2.0, "b".to_string())],
506                OpType::Put,
507            ))
508            .unwrap();
509
510        let mut iter = memtable
511            .ranges(None, RangesOptions::default())
512            .unwrap()
513            .build(None)
514            .unwrap();
515        let batch = iter.next().unwrap().unwrap();
516        assert_eq!(2, batch.num_rows());
517        assert_eq!(2, batch.fields().len());
518        let ts_v = batch
519            .timestamps()
520            .as_any()
521            .downcast_ref::<TimestampMillisecondVector>()
522            .unwrap();
523        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(1)), ts_v.get(0));
524        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(2)), ts_v.get(1));
525    }
526
527    #[test]
528    fn test_projection() {
529        let memtable = new_test_memtable(false, MergeMode::LastRow);
530        memtable
531            .write(&build_key_values(
532                &memtable.region_metadata,
533                0,
534                &[(1, 1.0, "a".to_string())],
535                OpType::Put,
536            ))
537            .unwrap();
538
539        let mut iter = memtable
540            .ranges(None, RangesOptions::default())
541            .unwrap()
542            .build(None)
543            .unwrap();
544        let batch = iter.next().unwrap().unwrap();
545        assert_eq!(1, batch.num_rows());
546        assert_eq!(2, batch.fields().len());
547
548        let ts_v = batch
549            .timestamps()
550            .as_any()
551            .downcast_ref::<TimestampMillisecondVector>()
552            .unwrap();
553        assert_eq!(Value::Timestamp(Timestamp::new_millisecond(1)), ts_v.get(0));
554
555        // Only project column 2 (f1)
556        let projection = vec![2];
557        let mut iter = memtable
558            .ranges(Some(&projection), RangesOptions::default())
559            .unwrap()
560            .build(None)
561            .unwrap();
562        let batch = iter.next().unwrap().unwrap();
563
564        assert_eq!(1, batch.num_rows());
565        assert_eq!(1, batch.fields().len()); // only f1
566        assert_eq!(2, batch.fields()[0].column_id);
567    }
568
569    #[test]
570    fn test_dedup() {
571        let memtable = new_test_memtable(true, MergeMode::LastRow);
572        memtable
573            .write(&build_key_values(
574                &memtable.region_metadata,
575                0,
576                &[(1, 1.0, "a".to_string())],
577                OpType::Put,
578            ))
579            .unwrap();
580        memtable
581            .write(&build_key_values(
582                &memtable.region_metadata,
583                1,
584                &[(1, 2.0, "b".to_string())],
585                OpType::Put,
586            ))
587            .unwrap();
588        let mut iter = memtable
589            .ranges(None, RangesOptions::default())
590            .unwrap()
591            .build(None)
592            .unwrap();
593        let batch = iter.next().unwrap().unwrap();
594
595        assert_eq!(1, batch.num_rows()); // deduped to 1 row
596        assert_eq!(2.0, batch.fields()[0].data.get(0).as_f64_lossy().unwrap()); // last write wins
597    }
598
599    #[test]
600    fn test_write_one() {
601        let memtable = new_test_memtable(false, MergeMode::LastRow);
602        let kvs = build_key_values(
603            &memtable.region_metadata,
604            0,
605            &[(1, 1.0, "a".to_string())],
606            OpType::Put,
607        );
608        let kv = kvs.iter().next().unwrap();
609        memtable.write_one(kv).unwrap();
610
611        let mut iter = memtable
612            .ranges(None, RangesOptions::default())
613            .unwrap()
614            .build(None)
615            .unwrap();
616        let batch = iter.next().unwrap().unwrap();
617        assert_eq!(1, batch.num_rows());
618    }
619
620    #[tokio::test]
621    async fn test_single_range() {
622        let memtable = new_test_memtable(true, MergeMode::LastRow);
623        let kvs = build_key_values(
624            &memtable.region_metadata,
625            0,
626            &[(1, 1.0, "a".to_string())],
627            OpType::Put,
628        );
629        memtable.write_one(kvs.iter().next().unwrap()).unwrap();
630
631        let kvs = build_key_values(
632            &memtable.region_metadata,
633            1,
634            &[(1, 2.0, "b".to_string())],
635            OpType::Put,
636        );
637        memtable.write_one(kvs.iter().next().unwrap()).unwrap();
638        memtable.freeze().unwrap();
639
640        let ranges = memtable.ranges(None, RangesOptions::default()).unwrap();
641        assert_eq!(ranges.ranges.len(), 1);
642        let range = ranges.ranges.into_values().next().unwrap();
643        let mut reader = range.context.builder.build(None).unwrap();
644
645        let mut num_rows = 0;
646        while let Some(b) = reader.next().transpose().unwrap() {
647            num_rows += b.num_rows();
648            assert_eq!(b.fields()[1].data.get(0).as_string(), Some("b".to_string()));
649        }
650        assert_eq!(num_rows, 1);
651    }
652
653    #[test]
654    fn test_write_bulk() {
655        let memtable = new_test_memtable(false, MergeMode::LastRow);
656        let arrow_schema = memtable.schema().schema.arrow_schema().clone();
657        let arrays = vec![
658            Arc::new(TimestampMillisecondArray::from(vec![1, 2])) as ArrayRef,
659            Arc::new(Float64Array::from(vec![1.0, 2.0])) as ArrayRef,
660            Arc::new(StringArray::from(vec!["a", "b"])) as ArrayRef,
661        ];
662        let rb = DfRecordBatch::try_new(arrow_schema, arrays).unwrap();
663
664        let part = BulkPart {
665            batch: rb,
666            sequence: 1,
667            min_timestamp: 1,
668            max_timestamp: 2,
669            timestamp_index: 0,
670            raw_data: None,
671        };
672        memtable.write_bulk(part).unwrap();
673
674        let mut iter = memtable
675            .ranges(None, RangesOptions::default())
676            .unwrap()
677            .build(None)
678            .unwrap();
679        let batch = iter.next().unwrap().unwrap();
680        assert_eq!(2, batch.num_rows());
681
682        let stats = memtable.stats();
683        assert_eq!(1, stats.max_sequence);
684        assert_eq!(2, stats.num_rows);
685        assert_eq!(
686            Some((Timestamp::new_millisecond(1), Timestamp::new_millisecond(2))),
687            stats.time_range
688        );
689
690        let kvs = build_key_values(
691            &memtable.region_metadata,
692            2,
693            &[(3, 3.0, "c".to_string())],
694            OpType::Put,
695        );
696        memtable.write(&kvs).unwrap();
697        let mut iter = memtable
698            .ranges(None, RangesOptions::default())
699            .unwrap()
700            .build(None)
701            .unwrap();
702        let batch = iter.next().unwrap().unwrap();
703        assert_eq!(3, batch.num_rows());
704        assert_eq!(
705            vec![1, 2, 3],
706            batch
707                .timestamps()
708                .as_any()
709                .downcast_ref::<TimestampMillisecondVector>()
710                .unwrap()
711                .iter_data()
712                .map(|t| { t.unwrap().0.value() })
713                .collect::<Vec<_>>()
714        );
715    }
716
717    #[test]
718    fn test_is_empty() {
719        let memtable = new_test_memtable(false, MergeMode::LastRow);
720        assert!(memtable.is_empty());
721
722        memtable
723            .write(&build_key_values(
724                &memtable.region_metadata,
725                0,
726                &[(1, 1.0, "a".to_string())],
727                OpType::Put,
728            ))
729            .unwrap();
730        assert!(!memtable.is_empty());
731    }
732
733    #[test]
734    fn test_stats() {
735        let memtable = new_test_memtable(false, MergeMode::LastRow);
736        let stats = memtable.stats();
737        assert_eq!(0, stats.num_rows);
738        assert!(stats.time_range.is_none());
739
740        memtable
741            .write(&build_key_values(
742                &memtable.region_metadata,
743                0,
744                &[(1, 1.0, "a".to_string())],
745                OpType::Put,
746            ))
747            .unwrap();
748        let stats = memtable.stats();
749        assert_eq!(1, stats.num_rows);
750        assert!(stats.time_range.is_some());
751    }
752
753    #[test]
754    fn test_fork() {
755        let memtable = new_test_memtable(false, MergeMode::LastRow);
756        memtable
757            .write(&build_key_values(
758                &memtable.region_metadata,
759                0,
760                &[(1, 1.0, "a".to_string())],
761                OpType::Put,
762            ))
763            .unwrap();
764
765        let forked = memtable.fork(2, &memtable.region_metadata);
766        assert!(forked.is_empty());
767    }
768
769    #[test]
770    fn test_sequence_filter() {
771        let memtable = new_test_memtable(false, MergeMode::LastRow);
772        memtable
773            .write(&build_key_values(
774                &memtable.region_metadata,
775                0,
776                &[(1, 1.0, "a".to_string())],
777                OpType::Put,
778            ))
779            .unwrap();
780        memtable
781            .write(&build_key_values(
782                &memtable.region_metadata,
783                1,
784                &[(2, 2.0, "b".to_string())],
785                OpType::Put,
786            ))
787            .unwrap();
788
789        // Filter with sequence 0 should only return first write
790        let mut iter = memtable
791            .ranges(
792                None,
793                RangesOptions {
794                    sequence: Some(SequenceRange::LtEq { max: 0 }),
795                    ..Default::default()
796                },
797            )
798            .unwrap()
799            .build(None)
800            .unwrap();
801        let batch = iter.next().unwrap().unwrap();
802        assert_eq!(1, batch.num_rows());
803        assert_eq!(1.0, batch.fields()[0].data.get(0).as_f64_lossy().unwrap());
804    }
805
806    fn rb_with_large_string(
807        ts: i64,
808        string_len: i32,
809        region_meta: &RegionMetadataRef,
810    ) -> RecordBatch {
811        let schema = region_meta.schema.arrow_schema().clone();
812        RecordBatch::try_new(
813            schema,
814            vec![
815                Arc::new(StringArray::from_iter_values(
816                    ["a".repeat(string_len as usize).clone()].into_iter(),
817                )) as ArrayRef,
818                Arc::new(TimestampMillisecondArray::from_iter_values(
819                    [ts].into_iter(),
820                )) as ArrayRef,
821            ],
822        )
823        .unwrap()
824    }
825
826    #[test]
827    fn test_write_read_large_string() {
828        let mut builder = RegionMetadataBuilder::new(RegionId::new(123, 456));
829        builder
830            .push_column_metadata(ColumnMetadata {
831                column_schema: ColumnSchema::new("k0", ConcreteDataType::string_datatype(), false),
832                semantic_type: SemanticType::Field,
833                column_id: 0,
834            })
835            .push_column_metadata(ColumnMetadata {
836                column_schema: ColumnSchema::new(
837                    "ts",
838                    ConcreteDataType::timestamp_millisecond_datatype(),
839                    false,
840                ),
841                semantic_type: SemanticType::Timestamp,
842                column_id: 1,
843            })
844            .primary_key(vec![]);
845        let region_meta = Arc::new(builder.build().unwrap());
846        let memtable =
847            SimpleBulkMemtable::new(0, region_meta.clone(), None, true, MergeMode::LastRow);
848        memtable
849            .write_bulk(BulkPart {
850                batch: rb_with_large_string(0, i32::MAX, &region_meta),
851                max_timestamp: 0,
852                min_timestamp: 0,
853                sequence: 0,
854                timestamp_index: 1,
855                raw_data: None,
856            })
857            .unwrap();
858
859        memtable.freeze().unwrap();
860        memtable
861            .write_bulk(BulkPart {
862                batch: rb_with_large_string(1, 3, &region_meta),
863                max_timestamp: 1,
864                min_timestamp: 1,
865                sequence: 1,
866                timestamp_index: 1,
867                raw_data: None,
868            })
869            .unwrap();
870        let MemtableRanges { ranges, .. } =
871            memtable.ranges(None, RangesOptions::default()).unwrap();
872        let mut rows = 0;
873        for range in ranges.into_values() {
874            let iter = range.build_iter().unwrap();
875            for batch in iter {
876                rows += batch.unwrap().num_rows();
877            }
878        }
879        assert_eq!(rows, 2);
880    }
881
882    #[test]
883    fn test_build_record_batch_iter_from_memtable() {
884        let memtable = new_test_memtable(false, MergeMode::LastRow);
885
886        let kvs = build_key_values(
887            &memtable.region_metadata,
888            0,
889            &[(1, 1.0, "a".to_string()), (2, 2.0, "b".to_string())],
890            OpType::Put,
891        );
892        memtable.write(&kvs).unwrap();
893
894        let read_column_ids: Vec<ColumnId> = memtable
895            .region_metadata
896            .column_metadatas
897            .iter()
898            .map(|c| c.column_id)
899            .collect();
900        let ranges = memtable
901            .ranges(Some(&read_column_ids), RangesOptions::default())
902            .unwrap();
903        assert!(!ranges.ranges.is_empty());
904
905        let mut total_rows = 0;
906        for range in ranges.ranges.into_values() {
907            let mut iter = range.build_record_batch_iter(None, None).unwrap();
908            while let Some(rb) = iter.next().transpose().unwrap() {
909                total_rows += rb.num_rows();
910                let schema = rb.schema();
911                let column_names: Vec<_> =
912                    schema.fields().iter().map(|f| f.name().as_str()).collect();
913                assert_eq!(
914                    column_names,
915                    vec!["f1", "f2", "ts", "__primary_key", "__sequence", "__op_type"]
916                );
917            }
918        }
919        assert_eq!(2, total_rows);
920    }
921}
mito2/memtable/simple_bulk_memtable.rs

mito2/memtable/
simple_bulk_memtable.rs
