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${ noResults }
16 Commits (8066de91ca26bbf268e28283aef1e6cf78eb5c17)
Author | SHA1 | Message | Date |
---|---|---|---|
Julius Volz | b7b6717438 |
Separate query interface out of local.Storage.
PromQL only requires a much narrower interface than local.Storage in order to run queries. Narrower interfaces are easier to replace and test, too. We could also change the web interface to use local.Querier, except that we'll probably use appending functions from there in the future. |
9 years ago |
beorn7 | 836f1db04c |
Improve MetricsForLabelMatchers
WIP: This needs more tests. It now gets a from and through value, which it may opportunistically use to optimize the retrieval. With possible future range indices, this could be used in a very efficient way. This change merely applies some easy checks, which should nevertheless solve the use case of heavy rule evaluations on servers with a lot of series churn. Idea is the following: - Only archive series that are at least as old as the headChunkTimeout (which was already extremely unlikely to happen). - Then maintain a high watermark for the last archival, i.e. no archived series has a sample more recent than that watermark. - Any query that doesn't reach to a time before that watermark doesn't have to touch the archive index at all. (A production server at Soundcloud with the aforementioned series churn and heavy rule evaluations spends 50% of its CPU time in archive index lookups. Since rule evaluations usually only touch very recent values, most of those lookup should disappear with this change.) - Federation with a very broad label matcher will profit from this, too. As a byproduct, the un-needed MetricForFingerprint method was removed from the Storage interface. |
9 years ago |
beorn7 | 0ea5801e47 |
Handle errors caused by data corruption more gracefully
This requires all the panic calls upon unexpected data to be converted into errors returned. This pollute the function signatures quite lot. Well, this is Go... The ideas behind this are the following: - panic only if it's a programming error. Data corruptions happen, and they are not programming errors. - If we detect a data corruption, we "quarantine" the series, essentially removing it from the database and putting its data into a separate directory for forensics. - Failure during writing to a series file is not considered corruption automatically. It will call setDirty, though, so that a crashrecovery upon the next restart will commence and check for that. - Series quarantining and setDirty calls are logged and counted in metrics, but are hidden from the user of the interfaces in interface.go, whith the notable exception of Append(). The reasoning is that we treat corruption by removing the corrupted series, i.e. a query for it will return no results on its next call anyway, so return no results right now. In the case of Append(), we want to tell the user that no data has been appended, though. Minor side effects: - Now consistently using filepath.* instead of path.*. - Introduced structured logging where I touched it. This makes things less consistent, but a complete change to structured logging would be out of scope for this PR. |
9 years ago |
beorn7 | ce58fd357b |
Merge branch 'beorn7/storage' into beorn7/storage2
Conflicts: storage/local/chunk.go storage/local/interface.go |
9 years ago |
beorn7 | 2581648f70 |
Separate iterators by offset
Add test that exposes the problem. |
9 years ago |
beorn7 | 454ecf3f52 |
Rework the way ranges and instants are handled
In a way, our instants were also ranges, just with the staleness delta as range length. They are no treated equally, just that in one case, the range length is set as range, in the other the staleness delta. However, there are "real" instants where start and and time of a query is the same. In those cases, we only want to return a single value (the one closest before or at the equal start and end time). If that value is the last sample in the series, odds are we have it already in the series object. In that case, there is no need to pin or load any chunks. A special singleSampleSeriesIterator is created for that. This should greatly speed up instant queries as they happen frequently for rule evaluations. |
9 years ago |
beorn7 | 0e202dacb4 |
Streamline series iterator creation
This will fix issue #1035 and will also help to make issue #1264 less bad. The fundamental problem in the current code: In the preload phase, we quite accurately determine which chunks will be used for the query being executed. However, in the subsequent step of creating series iterators, the created iterators are referencing _all_ in-memory chunks in their series, even the un-pinned ones. In iterator creation, we copy a pointer to each in-memory chunk of a series into the iterator. While this creates a certain amount of allocation churn, the worst thing about it is that copying the chunk pointer out of the chunkDesc requires a mutex acquisition. (Remember that the iterator will also reference un-pinned chunks, so we need to acquire the mutex to protect against concurrent eviction.) The worst case happens if a series doesn't even contain any relevant samples for the query time range. We notice that during preloading but then we will still create a series iterator for it. But even for series that do contain relevant samples, the overhead is quite bad for instant queries that retrieve a single sample from each series, but still go through all the effort of series iterator creation. All of that is particularly bad if a series has many in-memory chunks. This commit addresses the problem from two sides: First, it merges preloading and iterator creation into one step, i.e. the preload call returns an iterator for exactly the preloaded chunks. Second, the required mutex acquisition in chunkDesc has been greatly reduced. That was enabled by a side effect of the first step, which is that the iterator is only referencing pinned chunks, so there is no risk of concurrent eviction anymore, and chunks can be accessed without mutex acquisition. To simplify the code changes for the above, the long-planned change of ValueAtTime to ValueAtOrBefore time was performed at the same time. (It should have been done first, but it kind of accidentally happened while I was in the middle of writing the series iterator changes. Sorry for that.) So far, we actively filtered the up to two values that were returned by ValueAtTime, i.e. we invested work to retrieve up to two values, and then we invested more work to throw one of them away. The SeriesIterator.BoundaryValues method can be removed once #1401 is fixed. But I really didn't want to load even more changes into this PR. Benchmarks: The BenchmarkFuzz.* benchmarks run 83% faster (i.e. about six times faster) and allocate 95% fewer bytes. The reason for that is that the benchmark reads one sample after another from the time series and creates a new series iterator for each sample read. To find out how much these improvements matter in practice, I have mirrored a beefy Prometheus server at SoundCloud that suffers from both issues #1035 and #1264. To reach steady state that would be comparable, the server needs to run for 15d. So far, it has run for 1d. The test server currently has only half as many memory time series and 60% of the memory chunks the main server has. The 90th percentile rule evaluation cycle time is ~11s on the main server and only ~3s on the test server. However, these numbers might get much closer over time. In addition to performance improvements, this commit removes about 150 LOC. |
9 years ago |
Julius Volz | 9b6d69610a |
Fix various typos in comments.
Helpfully reported by https://goreportcard.com/report/github.com/prometheus/prometheus :) |
9 years ago |
Fabian Reinartz | 438e232c9b |
Fix grouping of import blocks
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9 years ago |
Fabian Reinartz | 306e8468a0 |
Switch from client_golang/model to common/model
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9 years ago |
Fabian Reinartz | 1eff186555 |
Merge pull request #810 from prometheus/fabxc/lmatch
Match empty labels. |
10 years ago |
Fabian Reinartz | 5b91ea9b36 |
storage: improve label matching and allow unset matching.
Matching of empty labels now also matches metrics where the label was not explicitly set to the empty string. |
10 years ago |
Fabian Reinartz | fe301d7946 |
promql: remove global flags
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10 years ago |
beorn7 | 3b9c421a69 |
Weed out all the [Gg]et* method names.
The only exception is getNumChunksToPersist to avoid naming the struct member numChunksToPersist in a weird way. |
10 years ago |
Fabian Reinartz | 8ea94ebb58 |
Check context before each preloading.
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10 years ago |
Fabian Reinartz | 5602328c7c |
Refactor query evaluation.
This copies the evaluation logic from the current rules/ package. The new engine handles the execution process from query string to final result. It provides query timeout and cancellation and general flexibility for future changes. functions.go: Add evaluation implementation. Slight changes to in/out data but not to the processing logic. quantile.go: No changes. analyzer.go: No changes. engine.go: Actually new part. Mainly consists of evaluation methods which were not changed. setup_test.go: Copy of rules/helpers_test.go to setup test storage. promql_test.go: Copy of rules/rules_test.go. |
10 years ago |