8 Commits (5859b74f1bb19cd3121e766f06ed762509571232)

Author	SHA1	Message	Date
Bjoern Rabenstein	5859b74f1b	Clean up license issues. ... - Move CONTRIBUTORS.md to the more common AUTHORS. - Added the required NOTICE file. - Changed "Prometheus Team" to "The Prometheus Authors". - Reverted the erroneous changes to the Apache License.	11 years ago
Julius Volz	cc27fb8aab	Rename remaining all-caps constants in AST layer. ... Change-Id: Ibe97e30981969056ffcdb89e63c1468ea1ffa140	11 years ago
Julius Volz	c9618d11e8	Introduce copy-on-write for metrics in AST. ... This depends on changes in: https://github.com/prometheus/client_golang/tree/cow-metrics. Change-Id: I80b94833a60ddf954c7cd92fd2cfbebd8dd46142	11 years ago
Julius Volz	e7ed39c9a6	Initial experimental snapshot of next-gen storage. ... Change-Id: Ifb8709960dbedd1d9f5efd88cdd359ee9fa9d26d	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	12 years ago
Matt T. Proud	30b1cf80b5	WIP - Snapshot of Moving to Client Model.	13 years ago
Julius Volz	74cb676537	Implement Stringer interface for rules and all their children.	13 years ago
Julius Volz	66d4620061	Don't assume delta has at least one sample per vector element.	13 years ago