Commit graph

33 commits

Author SHA1 Message Date
Brian Brazil 38d32e0686 Don't sort postings if we only have one block.
Sorting the heads postings can be quite slow.
We only need sorted series when merging with another
querier, so only sort then.
This will make big queries that only touch the head faster,
though queries that touch both the head and a block will still
be the same speed. This probably won't help much with graphing
unless the range is under an hour, however it should make most
recording rules faster.

Add gaurantee that remote read streaming produces sorted series.

PromQL benchmarks for histograms show only 2-3% improvement, but
they're only over 1k series.

benchmark                                                old ns/op      new ns/op      delta
BenchmarkQuerierSelect/Head/1of1000000-4                 1375486282     507657736      -63.09%
BenchmarkQuerierSelect/Head/10of1000000-4                1387859004     507769850      -63.41%
BenchmarkQuerierSelect/Head/100of1000000-4               1387087935     506029110      -63.52%
BenchmarkQuerierSelect/Head/1000of1000000-4              1386869064     504521986      -63.62%
BenchmarkQuerierSelect/Head/10000of1000000-4             1386213685     505210422      -63.55%
BenchmarkQuerierSelect/Head/100000of1000000-4            1392754988     529842406      -61.96%
BenchmarkQuerierSelect/Head/1000000of1000000-4           1569414722     725059506      -53.80%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           1381019902     1370495863     -0.76%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          1375696209     1366789468     -0.65%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         1386009422     1364519297     -1.55%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        1377700532     1364486191     -0.96%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       1383539536     1369545314     -1.01%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      1410089163     1394731339     -1.09%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     1634744148     1581554956     -3.25%
BenchmarkQuerierSelect/Block/1of1000000-4                881741242      879839470      -0.22%
BenchmarkQuerierSelect/Block/10of1000000-4               880381562      882846038      +0.28%
BenchmarkQuerierSelect/Block/100of1000000-4              887519357      881016916      -0.73%
BenchmarkQuerierSelect/Block/1000of1000000-4             902194205      883433524      -2.08%
BenchmarkQuerierSelect/Block/10000of1000000-4            892321964      885130170      -0.81%
BenchmarkQuerierSelect/Block/100000of1000000-4           938604466      933527150      -0.54%
BenchmarkQuerierSelect/Block/1000000of1000000-4          1313510845     1295881124     -1.34%

benchmark                                                old allocs     new allocs     delta
BenchmarkQuerierSelect/Head/1of1000000-4                 4000056        4000018        -0.00%
BenchmarkQuerierSelect/Head/10of1000000-4                4000074        4000036        -0.00%
BenchmarkQuerierSelect/Head/100of1000000-4               4000254        4000216        -0.00%
BenchmarkQuerierSelect/Head/1000of1000000-4              4002054        4002016        -0.00%
BenchmarkQuerierSelect/Head/10000of1000000-4             4020054        4020016        -0.00%
BenchmarkQuerierSelect/Head/100000of1000000-4            4200054        4200016        -0.00%
BenchmarkQuerierSelect/Head/1000000of1000000-4           6000054        6000016        -0.00%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           4000071        4000071        +0.00%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          4000089        4000089        +0.00%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         4000269        4000269        +0.00%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        4002069        4002069        +0.00%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       4020069        4020069        +0.00%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      4200069        4200069        +0.00%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     6000069        6000069        +0.00%
BenchmarkQuerierSelect/Block/1of1000000-4                6000023        6000022        -0.00%
BenchmarkQuerierSelect/Block/10of1000000-4               6000059        6000058        -0.00%
BenchmarkQuerierSelect/Block/100of1000000-4              6000419        6000418        -0.00%
BenchmarkQuerierSelect/Block/1000of1000000-4             6004019        6004018        -0.00%
BenchmarkQuerierSelect/Block/10000of1000000-4            6040019        6040018        -0.00%
BenchmarkQuerierSelect/Block/100000of1000000-4           6400019        6400018        -0.00%
BenchmarkQuerierSelect/Block/1000000of1000000-4          10000020       10000019       -0.00%

benchmark                                                old bytes     new bytes     delta
BenchmarkQuerierSelect/Head/1of1000000-4                 229192200     176001176     -23.21%
BenchmarkQuerierSelect/Head/10of1000000-4                229193352     176002328     -23.21%
BenchmarkQuerierSelect/Head/100of1000000-4               229204872     176013848     -23.21%
BenchmarkQuerierSelect/Head/1000of1000000-4              229320072     176129048     -23.20%
BenchmarkQuerierSelect/Head/10000of1000000-4             230472072     177281048     -23.08%
BenchmarkQuerierSelect/Head/100000of1000000-4            241992072     188801048     -21.98%
BenchmarkQuerierSelect/Head/1000000of1000000-4           357192072     304001048     -14.89%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           229193928     229193928     +0.00%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          229195080     229195080     +0.00%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         229206600     229206600     +0.00%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        229321800     229321800     +0.00%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       230473800     230473800     +0.00%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      241993800     241993800     +0.00%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     357193800     357193800     +0.00%
BenchmarkQuerierSelect/Block/1of1000000-4                227201516     227201500     -0.00%
BenchmarkQuerierSelect/Block/10of1000000-4               227202924     227202908     -0.00%
BenchmarkQuerierSelect/Block/100of1000000-4              227217036     227217020     -0.00%
BenchmarkQuerierSelect/Block/1000of1000000-4             227358156     227358140     -0.00%
BenchmarkQuerierSelect/Block/10000of1000000-4            228769356     228769340     -0.00%
BenchmarkQuerierSelect/Block/100000of1000000-4           242881356     242881340     -0.00%
BenchmarkQuerierSelect/Block/1000000of1000000-4          384001616     384001600     -0.00%

Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-28 09:14:56 +00:00
Garrett 5a9c4acfbf Pushdown aggregator group by through read hint (#6401)
* Pushdown aggregator group by through read hint

Implement https://github.com/prometheus/prometheus/issues/6400

* add temporal aggregation pushdown support

Signed-off-by: xiancli <xiancli@ebay.com>
2019-12-05 14:06:28 +00:00
Thomas Jackson 91d7175eaa Add storage.Warnings to LabelValues and LabelNames (#5673)
Fixes #5661

Signed-off-by: Thomas Jackson <jacksontj.89@gmail.com>
2019-06-17 08:31:17 +01:00
Tom Wilkie 6e08029b56
Move err to be the last return value from storage.Select. (#5054)
Signed-off-by: Tom Wilkie <tom.wilkie@gmail.com>
2019-01-02 11:10:13 +00:00
mknapphrt f0e9196dca Return warnings on a remote read fail (#4832)
Signed-off-by: Mark Knapp <mknapp@hudson-trading.com>
2018-11-30 14:27:12 +00:00
Ganesh Vernekar ca93fd544b /api/v1/labels endpoint for getting all label names (#4835)
* vendor: update tsdb

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* /api/v1/labels endpoint

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* regex matchers for API

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Add docs

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Matchers behaving as OR

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Removed the matchers

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* vendor: update tsdb using go mod

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* vendor update: tsdb

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Added LabelNames() to storage.Querier

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Test for api.labelNames

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>

* Nits

Signed-off-by: Ganesh Vernekar <cs15btech11018@iith.ac.in>
2018-11-19 15:51:14 +05:30
Thomas Jackson 92c6f0c92e Add offset to selectParams (#4226)
* Add Start/End to SelectParams
* Make remote read use the new selectParams for start/end

This commit will continue sending the start/end time of the remote read
query as the overarching promql time and the specific range of data that
the query is intersted in receiving a response to is now part of the
ReadHints (upstream discussion in #4226).

* Remove unused vendored code

The genproto.sh script was updated, but the code wasn't regenerated.
This simply removes the vendored deps that are no longer part of the
codegen output.

Signed-off-by: Thomas Jackson <jacksontj.89@gmail.com>
2018-07-18 04:58:00 +01:00
Fabian Reinartz 7ccd4b39b8 *: implement query params
This adds a parameter to the storage selection interface which allows
query engine(s) to pass information about the operations surrounding a
data selection.
This can for example be used by remote storage backends to infer the
correct downsampling aggregates that need to be provided.
2018-02-13 12:17:22 +01:00
Ed Schouten bb724f1bef Deprecate DeduplicateSeriesSet() in favor of NewMergeSeriesSet().
Federation makes use of dedupedSeriesSet to merge SeriesSets for every
query into one output stream. If many match[] arguments are provided,
many dedupedSeriesSet objects will get chained. This has the downside of
causing a potential O(n*k) running time, where n is the number of series
and k the number of match[] arguments.

In the mean time, the storage package provides a mergeSeriesSet that
accomplishes the same with an O(n*log(k)) running time by making use of
a binary heap. Let's just get rid of dedupedSeriesSet and change all
existing callers to use mergeSeriesSet.
2017-12-10 19:51:20 +01:00
Fabian Reinartz 83cd270ea4 *: adapt to storage interface changes 2017-11-23 19:05:04 +01:00
Tobias Schmidt 9b0091d487 Add storage.Queryable and storage.QueryableFunc
In order to compose different querier implementations more easily, this
change introduces a separate storage.Queryable interface grouping the
query (Querier) function of the storage.

Furthermore, it adds a QueryableFunc type to ease writing very simple
queryable implementations.
2017-11-13 20:19:37 +01:00
Thibault Chataigner bf4a279a91 Remote storage reads based on oldest timestamp in primary storage (#3129)
Currently all read queries are simply pushed to remote read clients.
This is fine, except for remote storage for wich it unefficient and
make query slower even if remote read is unnecessary.
So we need instead to compare the oldest timestamp in primary/local
storage with the query range lower boundary. If the oldest timestamp
is older than the mint parameter, then there is no need for remote read.
This is an optionnal behavior per remote read client.

Signed-off-by: Thibault Chataigner <t.chataigner@criteo.com>
2017-10-18 12:08:14 +01:00
Julius Volz f7e8348a88 Re-add contexts to storage.Storage.Querier() (#3230)
* Re-add contexts to storage.Storage.Querier()

These are needed when replacing the storage by a multi-tenant
implementation where the tenant is stored in the context.

The 1.x query interfaces already had contexts, but they got lost in 2.x.

* Convert promql.Engine to use native contexts
2017-10-04 21:04:15 +02:00
Fabian Reinartz 0efecea6d4 Adapt storage APIs to uint64 references 2017-09-07 14:14:41 +02:00
Tom Wilkie db8128ceeb Add label set as first parameter to AddFast, ingored by TSDB adapter. 2017-07-12 15:20:12 +01:00
Goutham Veeramachaneni 3069bd3996 Handle scrapes with OutOfBounds metrics better
fixes #2894

Signed-off-by: Goutham Veeramachaneni <goutham@boomerangcommerce.com>
2017-07-04 11:24:13 +02:00
Fabian Reinartz d289dc55c3 storage: update TSDB 2017-05-22 11:53:08 +02:00
Fabian Reinartz bbcf20ba01 web: deduplicate series in federation 2017-04-04 11:20:23 +02:00
Fabian Reinartz 4e41987bcb storage: add deduplication function
This adds a function to deduplicate two series sets given that duplicate
series have equivalent data points.
2017-04-04 11:07:21 +02:00
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.
2017-02-02 13:05:46 +01:00
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.
2017-01-16 12:03:57 +01:00
Fabian Reinartz ad9bc62e4c storage: extend appender and adapt it 2017-01-13 14:48:01 +01:00
Fabian Reinartz bc20d93f0a storage: rename iterator value getters to At() 2017-01-02 13:33:37 +01:00
Fabian Reinartz f8fc1f5bb2 *: migrate ingestion to new batch Appender 2016-12-29 11:03:56 +01:00
Fabian Reinartz fecf9532b9 *: fix misc compile errors 2016-12-25 11:42:57 +01:00
Fabian Reinartz 622ece6273 *: fix recording tests, migrate matcher types 2016-12-25 11:12:57 +01:00
Fabian Reinartz 0492ddbd4d *: fully decouple tsdb, add new storage interfaces 2016-12-25 01:43:22 +01:00
Julius Volz e7ed39c9a6 Initial experimental snapshot of next-gen storage.
Change-Id: Ifb8709960dbedd1d9f5efd88cdd359ee9fa9d26d
2014-11-25 17:02:00 +01:00
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
2014-02-27 15:22:37 +01:00
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
2014-01-21 16:49:51 +01:00
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.
2013-04-27 17:38:18 +02:00
Julius Volz d67e4b9131 Address outstanding comments from PR/47 and other cleanups. 2013-02-07 11:38:01 +01:00
Julius Volz e23ac0adbd Implement bulk iteration/operation storage interface. 2013-02-06 17:05:23 +01:00