d782387f81
Rather than buffer up symbols in RAM, do it one by one during compaction. Then use the reader's symbol handling for symbol lookups during the rest of the index write. There is some slowdown in compaction, due to having to look through a file rather than a hash lookup. This is noise to the overall cost of compacting series with thousands of samples though. benchmark old ns/op new ns/op delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 539917175 675341565 +25.08% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 2441815993 2477453524 +1.46% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3978543559 3922909687 -1.40% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 8430219716 8586610007 +1.86% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 1786424591 1909552782 +6.89% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 5328998202 6020839950 +12.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 10085059958 11085278690 +9.92% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 25497010155 27018079806 +5.97% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 2427391406 2817217987 +16.06% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 2592965497 2538805050 -2.09% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 2437388343 2668012858 +9.46% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 2317095324 2787423966 +20.30% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 2600239857 2096973860 -19.35% benchmark old allocs new allocs delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 500851 470794 -6.00% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 821527 791451 -3.66% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 1141562 1111508 -2.63% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 2141576 2111504 -1.40% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 871466 841424 -3.45% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 1941428 1911415 -1.55% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 3071573 3041510 -0.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 6771648 6741509 -0.45% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 731493 824888 +12.77% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 793918 887311 +11.76% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 811842 905204 +11.50% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 832244 925081 +11.16% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 921553 1019162 +10.59% benchmark old bytes new bytes delta BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 40532648 35698276 -11.93% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 60340216 53409568 -11.49% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 81087336 72065552 -11.13% BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 142485576 120878544 -15.16% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4 208661368 203831136 -2.31% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4 347345904 340484696 -1.98% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4 585185856 576244648 -1.53% BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4 1357641792 1358966528 +0.10% BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4 126486664 119666744 -5.39% BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4 122323192 115117224 -5.89% BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4 126404504 119469864 -5.49% BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4 119047832 112230408 -5.73% BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4 136576016 116634800 -14.60% Signed-off-by: Brian Brazil <brian.brazil@robustperception.io> |
||
---|---|---|
.circleci | ||
.github | ||
cmd | ||
config | ||
console_libraries | ||
consoles | ||
discovery | ||
docs | ||
documentation | ||
notifier | ||
pkg | ||
prompb | ||
promql | ||
rules | ||
scrape | ||
scripts | ||
storage | ||
template | ||
tsdb | ||
util | ||
vendor | ||
web | ||
.dockerignore | ||
.gitignore | ||
.golangci.yml | ||
.promu.yml | ||
CHANGELOG.md | ||
CONTRIBUTING.md | ||
Dockerfile | ||
LICENSE | ||
MAINTAINERS.md | ||
Makefile | ||
Makefile.common | ||
NOTICE | ||
README.md | ||
RELEASE.md | ||
VERSION | ||
code-of-conduct.md | ||
fuzzit.sh | ||
go.mod | ||
go.sum |
README.md
Prometheus
Visit prometheus.io for the full documentation, examples and guides.
Prometheus, a Cloud Native Computing Foundation project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Prometheus's main distinguishing features as compared to other monitoring systems are:
- a multi-dimensional data model (timeseries defined by metric name and set of key/value dimensions)
- a flexible query language to leverage this dimensionality
- no dependency on distributed storage; single server nodes are autonomous
- timeseries collection happens via a pull model over HTTP
- pushing timeseries is supported via an intermediary gateway
- targets are discovered via service discovery or static configuration
- multiple modes of graphing and dashboarding support
- support for hierarchical and horizontal federation
Architecture overview
Install
There are various ways of installing Prometheus.
Precompiled binaries
Precompiled binaries for released versions are available in the download section on prometheus.io. Using the latest production release binary is the recommended way of installing Prometheus. See the Installing chapter in the documentation for all the details.
Debian packages are available.
Docker images
Docker images are available on Quay.io or Docker Hub.
You can launch a Prometheus container for trying it out with
$ docker run --name prometheus -d -p 127.0.0.1:9090:9090 prom/prometheus
Prometheus will now be reachable at http://localhost:9090/.
Building from source
To build Prometheus from the source code yourself you need to have a working Go environment with version 1.13 or greater installed. You will also need to have Node.js and Yarn installed in order to build the frontend assets.
You can directly use the go
tool to download and install the prometheus
and promtool
binaries into your GOPATH
:
$ go get github.com/prometheus/prometheus/cmd/...
$ prometheus --config.file=your_config.yml
However, when using go get
to build Prometheus, Prometheus will expect to be able to
read its web assets from local filesystem directories under web/ui/static
and
web/ui/templates
. In order for these assets to be found, you will have to run Prometheus
from the root of the cloned repository. Note also that these directories do not include the
new experimental React UI unless it has been built explicitly using make assets
or make build
.
An example of the above configuration file can be found here.
You can also clone the repository yourself and build using make build
, which will compile in
the web assets so that Prometheus can be run from anywhere:
$ mkdir -p $GOPATH/src/github.com/prometheus
$ cd $GOPATH/src/github.com/prometheus
$ git clone https://github.com/prometheus/prometheus.git
$ cd prometheus
$ make build
$ ./prometheus --config.file=your_config.yml
The Makefile provides several targets:
- build: build the
prometheus
andpromtool
binaries (includes building and compiling in web assets) - test: run the tests
- test-short: run the short tests
- format: format the source code
- vet: check the source code for common errors
- docker: build a docker container for the current
HEAD
React UI Development
For more information on building, running, and developing on the new React-based UI, see the React app's README.md.
More information
- The source code is periodically indexed: Prometheus Core.
- You will find a CircleCI configuration in
.circleci/config.yml
. - See the Community page for how to reach the Prometheus developers and users on various communication channels.
Contributing
Refer to CONTRIBUTING.md
License
Apache License 2.0, see LICENSE.