hagen1778
2a7207f38a
app/all: follow-up after 84d710beab
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https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5548
Signed-off-by: hagen1778 <roman@victoriametrics.com>
2024-01-09 13:17:09 +01:00
Aliaksandr Valialkin
796c7b0ee1
lib/uint64set: use repeatable randomizer in tests
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Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3683
2023-01-23 19:24:05 -08:00
Aliaksandr Valialkin
a846febc89
Revert "lib/uint64set: allow reusing bucket16 structs inside uint64set.Set via uint64set.Release method"
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This reverts commit 7c6d3981bf
.
Reason for revert: high contention at bucket16Pool on systems with big number of CPU cores.
This slows down query processing significantly.
2021-07-06 18:26:56 +03:00
Aliaksandr Valialkin
d8e7c1ef27
lib/uint64set: allow reusing bucket16 structs inside uint64set.Set via uint64set.Release method
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This reduces the load on memory allocator in Go runtime in production workload.
2021-07-06 16:33:24 +03:00
Aliaksandr Valialkin
6b90570ed3
lib/uint64set: store pointers to bucket16 instead of bucket16 objects in bucket32
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This speeds up bucket32.addBucketAtPos() when bucket32.buckets contains big number of items,
since the copying of bucket16 pointers is much faster than the copying of bucket16 objects.
This is a cpu profile for copying bucket16 objects:
10ms 13.43s (flat, cum) 32.01% of Total
10ms 120ms 650: b.b16his = append(b.b16his[:pos+1], b.b16his[pos:]...)
. . 651: b.b16his[pos] = hi
. 13.31s 652: b.buckets = append(b.buckets[:pos+1], b.buckets[pos:]...)
. . 653: b16 := &b.buckets[pos]
. . 654: *b16 = bucket16{}
. . 655: return b16
. . 656:}
This is a cpu profile for copying pointers to bucket16:
10ms 1.14s (flat, cum) 2.19% of Total
. 100ms 647: b.b16his = append(b.b16his[:pos+1], b.b16his[pos:]...)
. . 648: b.b16his[pos] = hi
10ms 700ms 649: b.buckets = append(b.buckets[:pos+1], b.buckets[pos:]...)
. 330ms 650: b16 := &bucket16{}
. . 651: b.buckets[pos] = b16
. . 652: return b16
. . 653:}
2021-05-25 14:27:52 +03:00
Aliaksandr Valialkin
1088113110
lib/uint64set: remove memory allocation in getOrCreateSmallPool()
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This partially reverts fb82c4b9fa
It has been appeared that the additional memory allocation may result in higher GC pauses.
It is better to spend CPU time on copying bigger bucket16 structs instead of increasing query latencies due to higher GC pauses
2021-04-14 12:31:53 +03:00
Aliaksandr Valialkin
887e67f13b
lib/uint64set: improve Set.Has() performance scalability on multi-CPU system
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Do not update bucket32.hint on Set.Has() call, since it leads to memory ping-pong between CPU cores multi-CPU system
2021-03-29 12:34:19 +03:00
Aliaksandr Valialkin
1cfe3f872f
lib/uint64set: optimize bucket16.addMulti a bit
2021-03-16 21:08:38 +02:00
Aliaksandr Valialkin
dc70e7de76
lib/uint64set: reduce the size of bucket16 by storing smallPool by pointer.
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This reduces CPU time spent on bucket16 copying inside bucket13.addBucketAtPos.
2021-03-15 17:27:03 +02:00
Aliaksandr Valialkin
cc6b1a5941
lib/uint64set: optimize Set.AddMulti for large sorted sets
2021-03-15 17:10:54 +02:00
Aliaksandr Valialkin
f023e92f1a
lib/uint64set: optimize bucket16.add and bucket16.addMulti a bit
2021-03-15 16:58:24 +02:00
Aliaksandr Valialkin
da05c10544
lib/uint64set: remove memory allocation in bucket16.appendTo when sorting smallPool
2021-02-16 15:31:59 +02:00
Aliaksandr Valialkin
535fea3d11
lib/promscrape: eliminate data race in stream parse
mode
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Previously `-promscrape.streamParse` mode could result in garbage labels for the scraped metrics because of data race.
See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/825#issuecomment-723198247
2020-11-07 12:45:52 +02:00
Aliaksandr Valialkin
67be79a0bc
lib/uint64set: optimize adding items to the set via Set.AddMulti
2020-07-21 20:57:05 +03:00
Aliaksandr Valialkin
d962568e93
all: use %w instead of %s for wrapping errors in fmt.Errorf
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This will simplify examining the returned errors such as httpserver.ErrorWithStatusCode .
See https://blog.golang.org/go1.13-errors for details.
2020-06-30 23:33:46 +03:00
Aliaksandr Valialkin
8fa80a2dbc
lib/uint64set: remove zero buckets after Set.Intersect
2020-03-27 01:16:34 +02:00
Aliaksandr Valialkin
7a35447031
lib/uint64set: small code cleanup and perf tuning
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* Remember the last accessed bucket on Has() call.
* Inline fast paths inside Add() and Has() calls.
* Remove fragile code with maxUnsortedBuckets inside bucket32.
2020-03-25 15:29:59 +02:00
Aliaksandr Valialkin
cce936de5b
lib/uint64set: go fmt
2020-03-24 22:28:09 +02:00
Aliaksandr Valialkin
c31b956355
lib/uint64set: added more tests
2020-03-24 22:27:26 +02:00
Aliaksandr Valialkin
607d4418b8
lib/uint64set: add missing bucket32.b16his values
2020-01-18 14:26:23 +02:00
Aliaksandr Valialkin
e3379537cd
lib/uint64set: optimize Set.Union
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This should improve performance for queries over big number of time series
2020-01-18 13:47:34 +02:00
Aliaksandr Valialkin
5077efd3f7
lib/uint64set: add benchmarks for Set.Union
2020-01-18 13:47:33 +02:00
Aliaksandr Valialkin
ab4d5d72eb
lib/uint64set: reduce memory allocations in Set.AppendTo
2020-01-17 22:33:00 +02:00
Aliaksandr Valialkin
476c7fb109
lib/storage: reduce memory allocations when merging metricID sets
2020-01-17 22:10:56 +02:00
Aliaksandr Valialkin
29d21259f0
lib/uint64set: typo fix in Set.Intersect
2020-01-17 18:11:46 +02:00
Aliaksandr Valialkin
ed1d259b10
lib/uint64set: optimize Intersect, Subtract and Union functions
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This should improve performance for queries over big number of time series.
2020-01-17 16:16:43 +02:00
Aliaksandr Valialkin
68d35357b1
lib/uint64set: improve benchmark for Set.Intersect
2020-01-17 16:16:43 +02:00
Aliaksandr Valialkin
ffe352ad31
lib/uint64set: add benchmark for Set.Intersect
2020-01-17 16:16:43 +02:00
Aliaksandr Valialkin
7d429e2806
lib/uint64set: reduce memory usage in Union, Intersect and Subtract methods
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Iterate items with newly added Set.ForEach method instead of allocating `[]uint64`
slice for all the items before the iteration.
2020-01-15 12:15:48 +02:00
Aliaksandr Valialkin
588531dd76
lib/uint64set: reduce memory usage when storing big number of sparse metric_id values
2020-01-03 18:17:17 +02:00
Aliaksandr Valialkin
f1620ba7c0
lib/storage: fix inmemory inverted index issues found in v1.29
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Issues fixed:
- Slow startup times. Now the index is loaded from cache during start.
- High memory usage related to superflouos index copies every 10 seconds.
2019-11-13 13:35:38 +02:00
Aliaksandr Valialkin
44fa8226df
lib/uint64set: remove superflouos check for item existence before deleting it in Set.Subtract
2019-11-09 14:01:24 +02:00
Aliaksandr Valialkin
0063c857f5
lib/storage: add inmemory inverted index for the last hour
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It should improve performance for `last N hours` dashboards with update intervals smaller than 1 hour.
2019-11-08 19:37:46 +02:00
Aliaksandr Valialkin
f5fbc3ffd7
lib/{storage,uint64set}: add Set.Union() function and use it
2019-11-04 00:48:32 +02:00
Aliaksandr Valialkin
44fab198e2
lib/uint64set: return an emptry set instead of nil set from Set.Clone
, since the caller may add data to the cloned set
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This fixes the following panic in v1.28.1:
panic: runtime error: invalid memory address or nil pointer dereference
[signal SIGSEGV: segmentation violation code=0x1 addr=0x10 pc=0x783a7e]
goroutine 1155 [running]:
github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set.(*Set).Add(0x0, 0x15b3bfb41e8b71ec)
github.com/VictoriaMetrics/VictoriaMetrics@/lib/uint64set/uint64set.go:57 +0x2e
github.com/VictoriaMetrics/VictoriaMetrics/lib/storage.(*indexSearch).getMetricIDsForRecentHours(0xc5bdc0dd40, 0x16e273f6b50, 0x16e2745d3f0, 0x5b8d95, 0x10, 0x4a2f51, 0xaa01000000000000)
github.com/VictoriaMetrics/VictoriaMetrics@/lib/storage/index_db.go:1951 +0x260
github.com/VictoriaMetrics/VictoriaMetrics/lib/storage.(*indexSearch).getMetricIDsForTimeRange(0xc5bdc0dd40, 0x16e273f6b50, 0x16e2745d3f0, 0x5b8d95, 0x10, 0xb296c0, 0xc00009cd80, 0x9bc640)
2019-11-01 16:12:21 +02:00
Aliaksandr Valialkin
c64fb91a43
lib/uint64set: optimize Set.AppendTo
2019-09-25 00:34:31 +03:00
Aliaksandr Valialkin
de0e4eee2c
lib/storage: create and use lib/uint64set
instead of map[uint64]struct{}
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This should improve inverted index search performance for filters matching big number of time series,
since `lib/uint64set.Set` is faster than `map[uint64]struct{}` for both `Add` and `Has` calls.
See the corresponding benchmarks in `lib/uint64set`.
2019-09-24 21:18:04 +03:00