prometheus

Commit Graph

Author	SHA1	Message	Date
Julius Volz	01f652cb4c	Separate storage implementation from interfaces. This was initially motivated by wanting to distribute the rule checker tool under `tools/rule_checker`. However, this was not possible without also distributing the LevelDB dynamic libraries because the tool transitively depended on Levigo: rule checker -> query layer -> tiered storage layer -> leveldb This change separates external storage interfaces from the implementation (tiered storage, leveldb storage, memory storage) by putting them into separate packages: - storage/metric: public, implementation-agnostic interfaces - storage/metric/tiered: tiered storage implementation, including memory and LevelDB storage. I initially also considered splitting up the implementation into separate packages for tiered storage, memory storage, and LevelDB storage, but these are currently so intertwined that it would be another major project in itself. The query layers and most other parts of Prometheus now have notion of the storage implementation anymore and just use whatever implementation they get passed in via interfaces. The rule_checker is now a static binary :) Change-Id: I793bbf631a8648ca31790e7e772ecf9c2b92f7a0	11 years ago
Julius Volz	c7c0b33d0b	Add regex-matching support for labels. There are four label-matching ops for selecting timeseries now: - Equal: = - NotEqual: != - RegexMatch: =~ - RegexNoMatch: !~ Instead of looking up labels by a simple clientmodel.LabelSet (basically an equals op for every key/value pair in the set), timeseries fingerprint selection is now done via a list of metric.LabelMatchers. Change-Id: I510a83f761198e80946146770ebb64e4abc3bb96	11 years ago
Julius Volz	3f226c9724	Rename {Scalar,Vector}Literal to {Scalar,Vector}Selector. Change-Id: Ie92301f47f5f49f30b3a62c365e377108982b080	11 years ago
Bjoern Rabenstein	682cf6fc51	Simplify QueryAnalizer.Visit(). Change-Id: I628582a1903b7273e78921e22a475f1dae5ebaae	11 years ago
Bjoern Rabenstein	fd63500ed3	Make rules/ast golint clean. Mostly, that means adding compliant doc strings to exported items. Also, remove 'go vet' warnings where possible. (Some are unfortunately not to avoid, arguably bugs in 'go vet'.) Change-Id: I2827b6dd317492864c1383c3de1ea9eac5a219bb	11 years ago
Julius Volz	c4adfc4f25	Minor code cleanups. Change-Id: Ib3729cf38b107b7f2186ccf410a745e0472e3630	11 years ago
Julius Volz	740d448983	Use custom timestamp type for sample timestamps and related code. So far we've been using Go's native time.Time for anything related to sample timestamps. Since the range of time.Time is much bigger than what we need, this has created two problems: - there could be time.Time values which were out of the range/precision of the time type that we persist to disk, therefore causing incorrectly ordered keys. One bug caused by this was: https://github.com/prometheus/prometheus/issues/367 It would be good to use a timestamp type that's more closely aligned with what the underlying storage supports. - sizeof(time.Time) is 192, while Prometheus should be ok with a single 64-bit Unix timestamp (possibly even a 32-bit one). Since we store samples in large numbers, this seriously affects memory usage. Furthermore, copying/working with the data will be faster if it's smaller. MEMORY USAGE RESULTS Initial memory usage comparisons for a running Prometheus with 1 timeseries and 100,000 samples show roughly a 13% decrease in total (VIRT) memory usage. In my tests, this advantage for some reason decreased a bit the more samples the timeseries had (to 5-7% for millions of samples). This I can't fully explain, but perhaps garbage collection issues were involved. WHEN TO USE THE NEW TIMESTAMP TYPE The new clientmodel.Timestamp type should be used whenever time calculations are either directly or indirectly related to sample timestamps. For example: - the timestamp of a sample itself - all kinds of watermarks - anything that may become or is compared to a sample timestamp (like the timestamp passed into Target.Scrape()). When to still use time.Time: - for measuring durations/times not related to sample timestamps, like duration telemetry exporting, timers that indicate how frequently to execute some action, etc. NOTE ON OPERATOR OPTIMIZATION TESTS We don't use operator optimization code anymore, but it still lives in the code as dead code. It still has tests, but I couldn't get all of them to pass with the new timestamp format. I commented out the failing cases for now, but we should probably remove the dead code soon. I just didn't want to do that in the same change as this. Change-Id: I821787414b0debe85c9fffaeb57abd453727af0f	11 years ago
Matt T. Proud	7db518d3a0	Abstract high watermark cache into standard LRU. Conflicts: storage/metric/memory.go storage/metric/tiered.go storage/metric/watermark.go Change-Id: Iab2aedbd8f83dc4ce633421bd4a55990fa026b85	11 years ago
Julius Volz	aa5d251f8d	Use github.com/golang/glog for all logging.	11 years ago
Julius Volz	d2da21121c	Implement getValueRangeAtIntervalOp for faster range queries. This also short-circuits optimize() for now, since it is complex to implement for the new operator, and ops generated by the query layer already fulfill the needed invariants. We should still investigate later whether to completely delete operator optimization code or extend it to support getValueRangeAtIntervalOp operators.	12 years ago
Matt T. Proud	30b1cf80b5	WIP - Snapshot of Moving to Client Model.	12 years ago
Julius Volz	51689d965d	Add debug timers to instant and range queries. This adds timers around several query-relevant code blocks. For now, the query timer stats are only logged for queries initiated through the UI. In other cases (rule evaluations), the stats are simply thrown away. My hope is that this helps us understand where queries spend time, especially in cases where they sometimes hang for unusual amounts of time.	12 years ago
Julius Volz	5b105c77fc	Repointerize fingerprints.	12 years ago
Matt T. Proud	8f4c7ece92	Destroy naked returns in half of corpus. The use of naked return values is frowned upon. This is the first of two bulk updates to remove them.	12 years ago
Julius Volz	56324d8ce2	Make AST query storage non-global.	12 years ago
Julius Volz	b836066c71	Eliminate need to get fingerprints during query execution time.	12 years ago
Julius Volz	8e4c5b0cea	Use AST query analyzer and views with tiered storage.	12 years ago

17 Commits (c582ae73c2a2a93ce84ca2fe58f0d3d382770246)