* tsdb: Added ChunkQueryable implementations to db; unified compactor, querier and fanout block iterating.
Chained to https://github.com/prometheus/prometheus/pull/7059
* NewMerge(Chunk)Querier now takies multiple primaries allowing tsdb DB code to use it.
* Added single SeriesEntry / ChunkEntry for all series implementations.
* Unified all vertical, and non vertical for compact and querying to single
merge series / chunk sets by reusing VerticalSeriesMergeFunc for overlapping algorithm (same logic as before)
* Added block (Base/Chunk/)Querier for block querying. We then use populateAndTomb(Base/Chunk/) to iterate over chunks or samples.
* Refactored endpoint tests and querier tests to include subtests.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Addressed comments from Brian and Beorn.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed snapshot test and added chunk iterator support for DBReadOnly.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed race when iterating over Ats first.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed tests.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed populate block tests.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed endpoints test.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed test.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Added test & fixed case of head open chunk.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed DBReadOnly tests and bug producing 1 sample chunks.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Added cases for partial block overlap for multiple full chunks.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Added extra tests for chunk meta after compaction.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Fixed small vertical merge bug and added more tests for that.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* tsdb/chunks: Replace sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* tsdb/heaad: Replace sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* vendor: Make go.uber.org/atomic a direct dependency
There is no modifications to go.sum and vendor/ because
it was already vendored.
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* tsdb: Remove comments referring to the sync/atomic alignment bug
Related: https://golang.org/pkg/sync/atomic/#pkg-note-BUG
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* no panic the head memseries has chunks in it
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
* fix a panic when querying after a wal corruption.
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
* review nits
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
* Add test for reading the data after a wal corruption.
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
Update tsdb/db_test.go
Co-authored-by: Ganesh Vernekar <15064823+codesome@users.noreply.github.com>
Update tsdb/db_test.go
Co-authored-by: Ganesh Vernekar <15064823+codesome@users.noreply.github.com>
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
* spellings
Signed-off-by: Krasi Georgiev <8903888+krasi-georgiev@users.noreply.github.com>
Co-authored-by: Ganesh Vernekar <15064823+codesome@users.noreply.github.com>
* Fix race during head compaction
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
* Comment out the test
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
* Skip test instead of commenting it out
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
* Track open appenders in doubly-linked list to make lowWatermark O(1).
* Use RW locks.
* Added BenchmarkIsolationWithState.
Signed-off-by: Peter Štibraný <peter.stibrany@grafana.com>
* add time range params to labelNames api
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* evaluate min/max time range when reading labels from the head
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* add time range params to labelValues api
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* fix test, add docs
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* add a test for head min max range
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* fix test to match comment
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* address CR comments
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* combine vars only used once
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* add time range params to labelNames api
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* evaluate min/max time range when reading labels from the head
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* add time range params to labelValues api
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* fix test, add docs
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* add a test for head min max range
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* fix test to match comment
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* address CR comments
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* combine vars only used once
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* fix test
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* restart ci
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* use range expectedLabelNames instead of range actualLabelNames in test
Signed-off-by: jessicagreben <Jessica.greben1+github@gmail.com>
* Callbacks for lifecycle of series in TSDB
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
* Add more comments
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
When appending to the head and a chunk is full it is flushed to the disk and m-mapped (memory mapped) to free up memory
Prom startup now happens in these stages
- Iterate the m-maped chunks from disk and keep a map of series reference to its slice of mmapped chunks.
- Iterate the WAL as usual. Whenever we create a new series, look for it's mmapped chunks in the map created before and add it to that series.
If a head chunk is corrupted the currpted one and all chunks after that are deleted and the data after the corruption is recovered from the existing WAL which means that a corruption in m-mapped files results in NO data loss.
[Mmaped chunks format](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/head_chunks.md) - main difference is that the chunk for mmaping now also includes series reference because there is no index for mapping series to chunks.
[The block chunks](https://github.com/prometheus/prometheus/blob/master/tsdb/docs/format/chunks.md) are accessed from the index which includes the offsets for the chunks in the chunks file - example - chunks of series ID have offsets 200, 500 etc in the chunk files.
In case of mmaped chunks, the offsets are stored in memory and accessed from that. During WAL replay, these offsets are restored by iterating all m-mapped chunks as stated above by matching the series id present in the chunk header and offset of that chunk in that file.
**Prombench results**
_WAL Replay_
1h Wal reply time
30% less wal reply time - 4m31 vs 3m36
2h Wal reply time
20% less wal reply time - 8m16 vs 7m
_Memory During WAL Replay_
High Churn:
10-15% less RAM - 32gb vs 28gb
20% less RAM after compaction 34gb vs 27gb
No Churn:
20-30% less RAM - 23gb vs 18gb
40% less RAM after compaction 32.5gb vs 20gb
Screenshots are in [this comment](https://github.com/prometheus/prometheus/pull/6679#issuecomment-621678932)
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
Prior to this commit we could have situations where we are creating an
appenderId but never creating an appender to go with it, therefore
blocking the low watermak.
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
Previously we were keeping up to around 6 hours of WAL around by
removing 1/3 every hours. This was excessive, so switch to removing 2/3
which will up to around 3 hours of WAL around.
This will roughly halve the size of the WAL and halve startup time for
those who are I/O bound. This may increase the checkpoint size for
those with certain churn patterns, but by much less than we're saving
from the segments.
Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
This fixes#6992, which was introduced by #6777. There was an
intermediate component which translated TSDB errors into storage errors,
but that component was deleted and this bug went unnoticed, until we
were watching at the Prombench results. Without this, scrape will fail
instead of dropping samples or using "Add" when the series have been
garbage collected.
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
With defer having less of a performance penalty, there is no reason
not to do those crucial operations via defer.
Context: With isolation in place, if we forget to Commit/Rollback, the
low watermark will get stuck forever.
The current code should not have any bugs, but moving to defer helps
to avoid future bugs.
This is also moving the `closeAppend` in the `Commit` implementation
itself to defer. If logging to the WAL fails, we would have missed the
`closeAppend`.
Signed-off-by: beorn7 <beorn@grafana.com>
I think the previous behavior is problematic as it will leave
`memSeries` around that still have `pendingCommit` set to `true`.
The only case where this can happen in this code path is a failure to
write to the WAL, in which case we are probably in trouble anyway. I
believe, however, we should still try to do the right thing and do the
full rollback. This will implicitly try to write to the WAL again, but
this time without samples, which may even succeed. (But we propagate
the previous error in any case.)
This also adds `a.head.putSeriesBuffer(a.sampleSeries)` to Rollback,
which was previously missing.
Signed-off-by: beorn7 <beorn@grafana.com>
This is taken from #6918. Since we probably won't merge #6918 before
the relase, we have to do this bit of it as it fixes an actual bug
(iso.closeAppend is not called if the append fails because of an error
logging to the WAL).
Signed-off-by: beorn7 <beorn@grafana.com>
* tsdb: don't allow ingesting empty labelsets
When we ingest an empty labelset in the head, further blocks can not be
compacted, with the error:
```
level=error ts=2020-02-27T21:26:58.379Z caller=db.go:659 component=tsdb
msg="compaction failed" err="persist head block: write compaction:
add series: out-of-order series added with label set \"{}\" / prev:
\"{}\""
```
We should therefore reject those invalid empty labelsets upfront.
This can be reproduced with the following:
```
cat << END > prometheus.yml
scrape_configs:
- job_name: 'prometheus'
scrape_interval: 1s
basic_auth:
username: test
password: test
metric_relabel_configs:
- regex: ".*"
action: labeldrop
static_configs:
- targets:
- 127.0.1.1:9090
END
./prometheus --storage.tsdb.min-block-duration=1m
```
And wait a few minutes.
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
Series() will fetch all the metadata for a series,
even if it's going to be filtered later due to time ranges.
For 1M series we save ~1.1s if you only needed some of the data, but take an
extra ~.2s if you did want everything.
benchmark old ns/op new ns/op delta
BenchmarkHeadSeries/1of1000000-4 1443715987 131553480 -90.89%
BenchmarkHeadSeries/10of1000000-4 1433394040 130730596 -90.88%
BenchmarkHeadSeries/100of1000000-4 1437444672 131360813 -90.86%
BenchmarkHeadSeries/1000of1000000-4 1438958659 132573137 -90.79%
BenchmarkHeadSeries/10000of1000000-4 1438061766 145742377 -89.87%
BenchmarkHeadSeries/100000of1000000-4 1455060948 281659416 -80.64%
BenchmarkHeadSeries/1000000of1000000-4 1633524504 1803550153 +10.41%
benchmark old allocs new allocs delta
BenchmarkHeadSeries/1of1000000-4 4000055 28 -100.00%
BenchmarkHeadSeries/10of1000000-4 4000073 87 -100.00%
BenchmarkHeadSeries/100of1000000-4 4000253 630 -99.98%
BenchmarkHeadSeries/1000of1000000-4 4002053 6036 -99.85%
BenchmarkHeadSeries/10000of1000000-4 4020053 60054 -98.51%
BenchmarkHeadSeries/100000of1000000-4 4200053 600074 -85.71%
BenchmarkHeadSeries/1000000of1000000-4 6000053 6000094 +0.00%
benchmark old bytes new bytes delta
BenchmarkHeadSeries/1of1000000-4 229192184 2488 -100.00%
BenchmarkHeadSeries/10of1000000-4 229193336 5568 -100.00%
BenchmarkHeadSeries/100of1000000-4 229204856 35536 -99.98%
BenchmarkHeadSeries/1000of1000000-4 229320056 345104 -99.85%
BenchmarkHeadSeries/10000of1000000-4 230472056 3894673 -98.31%
BenchmarkHeadSeries/100000of1000000-4 241992056 40511632 -83.26%
BenchmarkHeadSeries/1000000of1000000-4 357192056 402380440 +12.65%
Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
This is part of https://github.com/prometheus/prometheus/pull/5882 that can be done to simplify things.
All todos I added will be fixed in follow up PRs.
* querier.Querier, querier.Appender, querier.SeriesSet, and querier.Series interfaces merged
with storage interface.go. All imports that.
* querier.SeriesIterator replaced by chunkenc.Iterator
* Added chunkenc.Iterator.Seek method and tests for xor implementation (?)
* Since we properly handle SelectParams for Select methods I adjusted min max
based on that. This should help in terms of performance for queries with functions like offset.
* added Seek to deletedIterator and test.
* storage/tsdb was removed as it was only a unnecessary glue with incompatible structs.
No logic was changed, only different source of abstractions, so no need for benchmarks.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
Rather than buffer up symbols in RAM, do it one by one
during compaction. Then use the reader's symbol handling
for symbol lookups during the rest of the index write.
There is some slowdown in compaction, due to having to look through a file
rather than a hash lookup. This is noise to the overall cost of compacting
series with thousands of samples though.
benchmark old ns/op new ns/op delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 539917175 675341565 +25.08%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 2441815993 2477453524 +1.46%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3978543559 3922909687 -1.40%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 8430219716 8586610007 +1.86%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 1786424591 1909552782 +6.89%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 5328998202 6020839950 +12.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 10085059958 11085278690 +9.92%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 25497010155 27018079806 +5.97%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 2427391406 2817217987 +16.06%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 2592965497 2538805050 -2.09%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 2437388343 2668012858 +9.46%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 2317095324 2787423966 +20.30%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 2600239857 2096973860 -19.35%
benchmark old allocs new allocs delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 500851 470794 -6.00%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 821527 791451 -3.66%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 1141562 1111508 -2.63%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 2141576 2111504 -1.40%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 871466 841424 -3.45%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 1941428 1911415 -1.55%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3071573 3041510 -0.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 6771648 6741509 -0.45%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 731493 824888 +12.77%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 793918 887311 +11.76%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 811842 905204 +11.50%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 832244 925081 +11.16%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 921553 1019162 +10.59%
benchmark old bytes new bytes delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 40532648 35698276 -11.93%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 60340216 53409568 -11.49%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 81087336 72065552 -11.13%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 142485576 120878544 -15.16%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 208661368 203831136 -2.31%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 347345904 340484696 -1.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 585185856 576244648 -1.53%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 1357641792 1358966528 +0.10%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 126486664 119666744 -5.39%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 122323192 115117224 -5.89%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 126404504 119469864 -5.49%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 119047832 112230408 -5.73%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 136576016 116634800 -14.60%
Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
