This moves the label lookup into TSDB, whilst still keeping the cached-ref optimisation for repeated Appends.
This makes the API easier to consume and implement. In particular this change is motivated by the scrape-time-aggregation work, which I don't think is possible to implement without it as it needs access to label values.
Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com>
- Remove unrelated changes
- Refactor code out of the API module - that is already getting pretty crowded.
- Don't track reference for AddFast in remote write. This has the potential to consume unlimited server-side memory if a malicious client pushes a different label set for every series. For now, its easier and safer to always use the 'slow' path.
- Return 400 on out of order samples.
- Use remote.DecodeWriteRequest in the remote write adapters.
- Put this behing the 'remote-write-server' feature flag
- Add some (very) basic docs.
- Used named return & add test for commit error propagation
Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com>
This commit adds `@ <timestamp>` modifier as per this design doc: https://docs.google.com/document/d/1uSbD3T2beM-iX4-Hp7V074bzBRiRNlqUdcWP6JTDQSs/edit.
An example query:
```
rate(process_cpu_seconds_total[1m])
and
topk(7, rate(process_cpu_seconds_total[1h] @ 1234))
```
which ranks based on last 1h rate and w.r.t. unix timestamp 1234 but actually plots the 1m rate.
Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
* Testify: move to require
Moving testify to require to fail tests early in case of errors.
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
* More moves
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
* Refactor test assertions
This pull request gets rid of assert.True where possible to use
fine-grained assertions.
Signed-off-by: Julien Pivotto <roidelapluie@inuits.eu>
In #7399, an early validity check of the config was introduced to
prevent the scenario where an invalid config is only detected after a
possibly very long startup procedure. However, the respective success
metrics are not updated after the initial validation so that the
success metrics suggest an invalid config. If the startup procedure,
like replaying the WAL, really takes very long, alerts about invalid
config will trigger.
This commit sets the succes metrics after initial validation. They
will be set again after the "real" config (re-)load, but that
shouldn't be a problem. The metric now truthfully represents whenever
the config was successfully loaded, no matter if the result was then
thrown away (because it was just for validation) or actually used.
Signed-off-by: beorn7 <beorn@grafana.com>
This also fixes a bug in query_log_file, which now is relative to the config file like all other paths.
Signed-off-by: Andy Bursavich <abursavich@gmail.com>
* storage: Replace usage of sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* tsdb: Replace usage of sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* web: Replace usage of sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* notifier: Replace usage of sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* cmd: Replace usage of sync/atomic with uber-go/atomic
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* scripts: Verify that we are not using restricted packages
It checks that we are not directly importing 'sync/atomic'.
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* Reorganise imports in blocks
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* notifier/test: Apply PR suggestions
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* storage/remote: avoid storing references on newEntry
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* Revert "scripts: Verify that we are not using restricted packages"
This reverts commit 278d32748e.
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* web: Group imports accordingly
Signed-off-by: Javier Palomo <javier.palomo.almena@gmail.com>
* promql: Removed global and add ability to have better interval for subqueries if not specified
## Changes
* Refactored tests for better hints testing
* Added various TODO in places to enhance.
* Moved DefaultEvalInterval global to opts with func(rangeMillis int64) int64 function instead
Motivation: At Thanos we would love to have better control over the subqueries step/interval.
This is important to choose proper resolution. I think having proper step also does not harm for
Prometheus and remote read users. Especially on stateless querier we do not know evaluation interval
and in fact putting global can be wrong to assume for Prometheus even.
I think ideally we could try to have at least 3 samples within the range, the same
way Prometheus UI and Grafana assumes.
Anyway this interfaces allows to decide on promQL user basis.
Open question: Is taking parent interval a smart move?
Motivation for removing global: I spent 1h fighting with:
=== RUN TestEvaluations
TestEvaluations: promql_test.go:31: unexpected error: error evaluating query "absent_over_time(rate(nonexistant[5m])[5m:])" (line 687): unexpected error: runtime error: integer divide by zero
--- FAIL: TestEvaluations (0.32s)
FAIL
At the end I found that this fails on most of the versions including this master if you run this test alone. If run together with many
other tests it passes. This is due to SetDefaultEvaluationInterval(1 * time.Minute)
in test that is ran before TestEvaluations. Thanks to globals (:
Let's fix it by dropping this global.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Added issue links for TODOs.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
* Removed irrelevant changes.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
To load ALERT_FOR_STATE only `storage.Queryable` interface is required,
so this patch uses this narrower interface for to perform this.
Signed-off-by: Frederic Branczyk <fbranczyk@gmail.com>
* Fixed nits introduced by https://github.com/prometheus/prometheus/pull/7334
* Added ChunkQueryable implementation to fanout and readyStorage.
* Added more comments.
* Changed NewVerticalChunkSeriesMerger to CompactingChunkSeriesMerger, removed tiny interface by reusing VerticalSeriesMergeFunc for overlapping algorithm for
both chunks and series, for both querying and compacting (!) + made sure duplicates are merged.
* Added ErrChunkSeriesSet
* Added Samples interface for seamless []promb.Sample to []tsdbutil.Sample conversion.
* Deprecating non chunks serieset based StreamChunkedReadResponses, added chunk one.
* Improved tests.
* Split remote client into Write (old storage) and read.
* Queryable client is now SampleAndChunkQueryable. Since we cannot use nice QueryableFunc I moved
all config based options to sampleAndChunkQueryableClient to aboid boilerplate.
In next commit: Changes for TSDB.
Signed-off-by: Bartlomiej Plotka <bwplotka@gmail.com>
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>
