/
flush.rs
489 lines (444 loc) · 15.4 KB
/
flush.rs
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
use std::cmp::max;
use std::collections::HashMap;
use std::path::{Path, PathBuf};
use std::sync::Arc;
use std::time::Duration;
use parking_lot::RwLock;
use tokio::sync::oneshot;
use tokio::time::timeout;
use trace::{error, info, warn};
use utils::BloomFilter;
use crate::compaction::{CompactTask, FlushReq};
use crate::context::GlobalContext;
use crate::error::TskvResult;
use crate::memcache::MemCache;
use crate::summary::{CompactMetaBuilder, SummaryTask, VersionEdit};
use crate::tseries_family::Version;
use crate::tsm::writer::TsmWriter;
use crate::{ColumnFileId, TsKvContext, TseriesFamilyId, TskvError};
pub struct FlushTask {
ts_family_id: TseriesFamilyId,
mem_caches: Vec<Arc<RwLock<MemCache>>>,
global_context: Arc<GlobalContext>,
path_tsm: PathBuf,
path_delta: PathBuf,
}
impl FlushTask {
pub fn new(
ts_family_id: TseriesFamilyId,
mem_caches: Vec<Arc<RwLock<MemCache>>>,
global_context: Arc<GlobalContext>,
path_tsm: impl AsRef<Path>,
path_delta: impl AsRef<Path>,
) -> Self {
Self {
ts_family_id,
mem_caches,
global_context,
path_tsm: path_tsm.as_ref().into(),
path_delta: path_delta.as_ref().into(),
}
}
pub async fn run(
self,
version: Arc<Version>,
edit: &mut VersionEdit,
) -> TskvResult<HashMap<u64, Arc<BloomFilter>>> {
let mut tsm_writer = None;
let mut delta_writer = None;
let mut file_metas = HashMap::new();
for memcache in self.mem_caches {
let (group, delta_group) = memcache.read().to_chunk_group(version.clone())?;
if tsm_writer.is_none() && !group.is_empty() {
tsm_writer = Some(
TsmWriter::open(&self.path_tsm, self.global_context.file_id_next(), 0, false)
.await?,
);
}
if delta_writer.is_none() && !delta_group.is_empty() {
delta_writer = Some(
TsmWriter::open(
&self.path_delta,
self.global_context.file_id_next(),
0,
true,
)
.await?,
);
}
if let Some(tsm_writer) = tsm_writer.as_mut() {
tsm_writer.write_data(group).await?;
}
if let Some(delta_writer) = delta_writer.as_mut() {
delta_writer.write_data(delta_group).await?;
}
}
let compact_meta_builder = CompactMetaBuilder::new(self.ts_family_id);
let mut max_level_ts = version.max_level_ts();
if let Some(mut tsm_writer) = tsm_writer {
tsm_writer.finish().await?;
file_metas.insert(
tsm_writer.file_id(),
Arc::new(tsm_writer.series_bloom_filter().clone()),
);
let tsm_meta = compact_meta_builder.build(
tsm_writer.file_id(),
tsm_writer.size(),
1,
tsm_writer.min_ts(),
tsm_writer.max_ts(),
);
max_level_ts = max(max_level_ts, tsm_meta.max_ts);
edit.add_file(tsm_meta, max_level_ts);
}
if let Some(mut delta_writer) = delta_writer {
delta_writer.finish().await?;
file_metas.insert(
delta_writer.file_id(),
Arc::new(delta_writer.series_bloom_filter().clone()),
);
let delta_meta = compact_meta_builder.build(
delta_writer.file_id(),
delta_writer.size(),
0,
delta_writer.min_ts(),
delta_writer.max_ts(),
);
max_level_ts = max(max_level_ts, delta_meta.max_ts);
edit.add_file(delta_meta, max_level_ts);
}
Ok(file_metas)
}
}
pub async fn run_flush_memtable_job(
req: FlushReq,
ctx: Arc<TsKvContext>,
trigger_compact: bool,
) -> TskvResult<()> {
let req_str = format!("{req}");
info!("Flush: running: {req_str}");
let mut file_metas: HashMap<ColumnFileId, Arc<BloomFilter>> = HashMap::new();
let tsf = ctx
.version_set
.read()
.await
.get_tsfamily_by_tf_id(req.ts_family_id)
.await
.ok_or(TskvError::VnodeNotFound {
vnode_id: req.ts_family_id,
})?;
// todo: build path by vnode data
let (storage_opt, version, database) = {
let tsf_rlock = tsf.read().await;
tsf_rlock.update_last_modified().await;
(
tsf_rlock.storage_opt(),
tsf_rlock.version(),
tsf_rlock.tenant_database(),
)
};
let path_tsm = storage_opt.tsm_dir(&database, req.ts_family_id);
let path_delta = storage_opt.delta_dir(&database, req.ts_family_id);
let flush_task = FlushTask::new(
req.ts_family_id,
req.mems.clone(),
ctx.global_ctx.clone(),
path_tsm,
path_delta,
);
let mut version_edit =
VersionEdit::new_update_vnode(req.ts_family_id, req.owner, req.high_seq_no);
if let Ok(fm) = flush_task.run(version.clone(), &mut version_edit).await {
file_metas = fm;
}
tsf.read().await.update_last_modified().await;
info!(
"Flush: completed: {req_str}, version edit: {:?}",
version_edit
);
let (task_state_sender, task_state_receiver) = oneshot::channel();
let task = SummaryTask::new(
tsf.clone(),
version_edit,
Some(file_metas),
Some(req.mems),
task_state_sender,
);
if let Err(e) = ctx.summary_task_sender.send(task).await {
warn!("Flush: failed to send summary task for {req_str}: {e}",);
}
if timeout(Duration::from_secs(10), task_state_receiver)
.await
.is_err()
{
error!("Flush: failed to receive summary task result in 10 seconds for {req_str}",);
}
if trigger_compact {
let _ = ctx
.compact_task_sender
.send(CompactTask {
tsf_id: req.ts_family_id,
})
.await;
}
Ok(())
}
#[cfg(test)]
pub mod flush_tests {
use std::path::PathBuf;
use std::sync::Arc;
use arrow_schema::TimeUnit;
use cache::ShardedAsyncCache;
use memory_pool::{GreedyMemoryPool, MemoryPool};
use minivec::MiniVec;
use models::codec::Encoding;
use models::field_value::FieldVal;
use models::predicate::domain::TimeRange;
use models::schema::{ColumnType, TableColumn, TskvTableSchema};
use models::{SeriesKey, ValueType};
use parking_lot::lock_api::RwLock;
use utils::dedup_front_by_key;
use crate::compaction::FlushTask;
use crate::context::GlobalContext;
use crate::memcache::{MemCache, OrderedRowsData, RowData, RowGroup};
use crate::tseries_family::{LevelInfo, Version};
use crate::tsm::data_block::{DataBlock, MutableColumn};
use crate::tsm::reader::TsmReader;
use crate::tsm::writer::TsmWriter;
use crate::{Options, VersionEdit};
fn f64_column(data: Vec<f64>) -> MutableColumn {
let mut col = MutableColumn::empty(TableColumn::new(
4,
"f_col_1".to_string(),
ColumnType::Field(ValueType::Float),
Encoding::default(),
))
.unwrap();
for datum in data {
col.push(Some(FieldVal::Float(datum))).unwrap()
}
col
}
fn ts_column(data: Vec<i64>) -> MutableColumn {
let mut col = MutableColumn::empty(TableColumn::new(
1,
"time".to_string(),
ColumnType::Time(TimeUnit::Nanosecond),
Encoding::default(),
))
.unwrap();
for datum in data {
col.push(Some(FieldVal::Integer(datum))).unwrap()
}
col
}
#[test]
fn test_sort_dedup() {
{
let mut data = vec![(1, 11), (1, 12), (2, 21), (3, 3), (2, 22), (4, 41), (4, 42)];
data.sort_by_key(|a| a.0);
assert_eq!(
&data,
&vec![(1, 11), (1, 12), (2, 21), (2, 22), (3, 3), (4, 41), (4, 42)]
);
dedup_front_by_key(&mut data, |a| a.0);
assert_eq!(&data, &vec![(1, 12), (2, 22), (3, 3), (4, 42)]);
}
{
// Test dedup-front for list with no duplicated key.
let mut data: Vec<(i32, MiniVec<u8>)> = vec![
(1, "a1".into()),
(2, "b2".into()),
(3, "c3".into()),
(4, "d4".into()),
];
data.sort_by_key(|a| a.0);
dedup_front_by_key(&mut data, |a| a.0);
assert_eq!(
&data,
&vec![
(1, "a1".into()),
(2, "b2".into()),
(3, "c3".into()),
(4, "d4".into()),
]
);
}
{
// Test dedup-front for list with only one key.
let mut data: Vec<(i32, MiniVec<u8>)> = vec![
(1, "a1".into()),
(1, "a2".into()),
(1, "a3".into()),
(1, "a4".into()),
];
dedup_front_by_key(&mut data, |a| a.0);
assert_eq!(&data, &vec![(1, "a4".into()),]);
}
{
// Test dedup-front for list with shuffled multiply duplicated key.
let mut data: Vec<(i32, MiniVec<u8>)> = vec![
(1, "a1".into()),
(1, "b1".into()),
(2, "c2".into()),
(3, "d3".into()),
(2, "e2".into()),
(4, "e4".into()),
(4, "f4".into()),
];
data.sort_by_key(|a| a.0);
dedup_front_by_key(&mut data, |a| a.0);
assert_eq!(
&data,
&vec![
(1, "b1".into()),
(2, "e2".into()),
(3, "d3".into()),
(4, "f4".into()),
]
);
}
}
#[tokio::test]
async fn test_flush_run() {
let dir = "/tmp/test/flush/1";
let _ = std::fs::remove_dir_all(dir);
std::fs::create_dir_all(dir).unwrap();
let mut global_config = config::get_config_for_test();
global_config.storage.path = dir.to_string();
let opt = Arc::new(Options::from(&global_config));
let database = Arc::new("cnosdb.test".to_string());
#[rustfmt::skip]
let levels = [
LevelInfo::init(database.clone(), 0, 0, opt.storage.clone()),
LevelInfo::init(database.clone(), 1, 0, opt.storage.clone()),
LevelInfo::init(database.clone(), 2, 0, opt.storage.clone()),
LevelInfo::init(database.clone(), 3, 0, opt.storage.clone()),
LevelInfo::init(database.clone(), 4, 0, opt.storage.clone()),
];
let tsm_reader_cache = Arc::new(ShardedAsyncCache::create_lru_sharded_cache(16));
let version = Version::new(
1,
database.clone(),
opt.storage.clone(),
1,
levels,
5,
tsm_reader_cache,
);
let sid = 1;
let memory_pool: Arc<dyn MemoryPool> = Arc::new(GreedyMemoryPool::new(1024 * 1024 * 1024));
let mem_cache = MemCache::new(1, 1000, 2, 1, &memory_pool);
#[rustfmt::skip]
let mut schema_1 = TskvTableSchema::new(
"test_tenant".to_string(), "test_db".to_string(), "test_table".to_string(),
vec![
TableColumn::new_time_column(1, TimeUnit::Nanosecond),
TableColumn::new_tag_column(2, "tag_col_1".to_string()),
TableColumn::new_tag_column(3, "tag_col_2".to_string()),
TableColumn::new(4, "f_col_1".to_string(), ColumnType::Field(ValueType::Float), Default::default()),
],
);
schema_1.schema_version = 1;
let mut rows = OrderedRowsData::new();
rows.insert(RowData {
ts: 1,
fields: vec![Some(FieldVal::Float(1.0))],
});
rows.insert(RowData {
ts: 3,
fields: vec![Some(FieldVal::Float(3.0))],
});
rows.insert(RowData {
ts: 6,
fields: vec![Some(FieldVal::Float(6.0))],
});
rows.insert(RowData {
ts: 9,
fields: vec![Some(FieldVal::Float(9.0))],
});
#[rustfmt::skip]
let row_group_1 = RowGroup {
schema: Arc::new(schema_1),
range: TimeRange::new(1, 3),
rows,
size: 10,
};
mem_cache
.write_group(sid, SeriesKey::default(), 1, row_group_1.clone())
.unwrap();
let mem_caches = vec![Arc::new(RwLock::new(mem_cache))];
let path_tsm = PathBuf::from("/tmp/test/flush/tsm1");
let path_delta = PathBuf::from("/tmp/test/flush/tsm2");
let flush_task = FlushTask::new(
1,
mem_caches,
Arc::new(GlobalContext::new()),
path_tsm.clone(),
path_delta.clone(),
);
let mut edit = VersionEdit::default();
let _ = flush_task.run(Arc::new(version), &mut edit).await.unwrap();
let tsm_info = edit.add_files.first().unwrap();
let delta_info = edit.add_files.get(1).unwrap();
let mut schema = TskvTableSchema::new(
"test_tenant".to_string(),
"test_db".to_string(),
"test_table".to_string(),
vec![
TableColumn::new(
1,
"time".to_string(),
ColumnType::Time(TimeUnit::Nanosecond),
Encoding::default(),
),
TableColumn::new(
2,
"tag_col_1".to_string(),
ColumnType::Tag,
Encoding::default(),
),
TableColumn::new(
3,
"tag_col_2".to_string(),
ColumnType::Tag,
Encoding::default(),
),
TableColumn::new(
4,
"f_col_1".to_string(),
ColumnType::Field(ValueType::Float),
Encoding::default(),
),
],
);
schema.schema_version = 1;
let schema = Arc::new(schema);
let data1 = DataBlock::new(
schema.clone(),
ts_column(vec![6, 9]),
vec![f64_column(vec![6.0, 9.0])],
);
let data2 = DataBlock::new(
schema.clone(),
ts_column(vec![1, 3]),
vec![f64_column(vec![1.0, 3.0])],
);
{
let tsm_writer = TsmWriter::open(&path_tsm, tsm_info.file_id, 100, false)
.await
.unwrap();
let tsm_reader = TsmReader::open(tsm_writer.path()).await.unwrap();
let tsm_data = tsm_reader.read_datablock(1, 0).await.unwrap();
assert_eq!(tsm_data, data1);
}
{
let delta_writer = TsmWriter::open(&path_delta, delta_info.file_id, 100, true)
.await
.unwrap();
let delta_reader = TsmReader::open(delta_writer.path()).await.unwrap();
let delta_data = delta_reader.read_datablock(1, 0).await.unwrap();
assert_eq!(delta_data, data2);
}
}
}