17 Commits (496c060f98bf70d1a7d2e0fae2ab7327d290076c)

Author	SHA1	Message	Date
Fabian Reinartz	d289dc55c3	storage: update TSDB	8 years ago
Fabian Reinartz	bbcf20ba01	web: deduplicate series in federation	8 years ago
Fabian Reinartz	4e41987bcb	storage: add deduplication function ... This adds a function to deduplicate two series sets given that duplicate series have equivalent data points.	8 years ago
Fabian Reinartz	5772f1a7ba	retrieval/storage: adapt to new interface ... This simplifies the interface to two add methods for appends with labels or faster reference numbers.	8 years ago
Fabian Reinartz	c691895a0f	retrieval: cache series references, use pkg/textparse ... With this change the scraping caches series references and only allocates label sets if it has to retrieve a new reference. pkg/textparse is used to do the conditional parsing and reduce allocations from 900B/sample to 0 in the general case.	8 years ago
Fabian Reinartz	ad9bc62e4c	storage: extend appender and adapt it	8 years ago
Fabian Reinartz	bc20d93f0a	storage: rename iterator value getters to At()	8 years ago
Fabian Reinartz	f8fc1f5bb2	*: migrate ingestion to new batch Appender	8 years ago
Fabian Reinartz	fecf9532b9	*: fix misc compile errors	8 years ago
Fabian Reinartz	622ece6273	*: fix recording tests, migrate matcher types	8 years ago
Fabian Reinartz	0492ddbd4d	*: fully decouple tsdb, add new storage interfaces	8 years ago
Julius Volz	e7ed39c9a6	Initial experimental snapshot of next-gen storage. ... Change-Id: Ifb8709960dbedd1d9f5efd88cdd359ee9fa9d26d	10 years ago
Bjoern Rabenstein	6bc083f38b	Major code cleanup in storage. ... - Mostly docstring fixed/additions. (Please review these carefully, since most of them were missing, I had to guess them from an outsider's perspective. (Which on the other hand proves how desperately required many of these docstrings are.)) - Removed all uses of new(...) to meet our own style guide (draft). - Fixed all other 'go vet' and 'golint' issues (except those that are not fixable (i.e. caused by bugs in or by design of 'go vet' and 'golint')). - Some trivial refactorings, like reorder functions, minor renames, ... - Some slightly less trivial refactoring, mostly to reduce code duplication by embedding types instead of writing many explicit forwarders. - Cleaned up the interface structure a bit. (Most significant probably the removal of the View-like methods from MetricPersistenc. Now they are only in View and not duplicated anymore.) - Removed dead code. (Probably not all of it, but it's a first step...) - Fixed a leftover in storage/metric/end_to_end_test.go (that made some parts of the code never execute (incidentally, those parts were broken (and I fixed them, too))). Change-Id: Ibcac069940d118a88f783314f5b4595dce6641d5	11 years ago
Bjoern Rabenstein	c342ad33a0	Fix OperatorError. ... This used to work with Go 1.1, but only because of a compiler bug. The bug is fixed in Go 1.2, so we have to fix our code now. Change-Id: I5a9f3a15878afd750e848be33e90b05f3aa055e1	11 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	d67e4b9131	Address outstanding comments from PR/47 and other cleanups.	12 years ago
Julius Volz	e23ac0adbd	Implement bulk iteration/operation storage interface.	12 years ago