111 Commits (047585360b6fe948cbe230899ebaf285b286b3ae)

Author	SHA1	Message	Date
Matt T. Proud	30b1cf80b5	WIP - Snapshot of Moving to Client Model.	12 years ago
Julius Volz	8ee7947b1e	Ensure metric name is dropped correctly from alert labels in UI.	12 years ago
Julius Volz	0226d1ac7a	Implement alerts dashboard and expression console links.	12 years ago
Julius Volz	74cb676537	Implement Stringer interface for rules and all their children.	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	dcf2e82752	Cleanup and idiomaticize rule/expression dot graph output.	12 years ago
Matt T. Proud	b3e34c6658	Implement batch database sample curator. ... This commit introduces to Prometheus a batch database sample curator, which corroborates the high watermarks for sample series against the curation watermark table to see whether a curator of a given type needs to be run. The curator is an abstract executor, which runs various curation strategies across the database. It remarks the progress for each type of curation processor that runs for a given sample series. A curation procesor is responsible for effectuating the underlying batch changes that are request. In this commit, we introduce the CompactionProcessor, which takes several bits of runtime metadata and combine sparse sample entries in the database together to form larger groups. For instance, for a given series it would be possible to have the curator effectuate the following grouping: - Samples Older than Two Weeks: Grouped into Bunches of 10000 - Samples Older than One Week: Grouped into Bunches of 1000 - Samples Older than One Day: Grouped into Bunches of 100 - Samples Older than One Hour: Grouped into Bunches of 10 The benefits hereof of such a compaction are 1. a smaller search space in the database keyspace, 2. better employment of compression for repetious values, and 3. reduced seek times.	12 years ago
Julius Volz	2202cd71c9	Track alerts over time and write out alert timeseries.	12 years ago