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Fiona Liao 9b83d8330a
Fix memSafeIterator.Seek() (#8748)
* Add range query test cases

This includes a couple of failing ones that double count some points due
to the iterator seek bug.

Co-authored-by: Oleg Zaytsev <mail@olegzaytsev.com>
Signed-off-by: Fiona Liao <fiona.y.liao@gmail.com>

* Add Seek() implementation for memSafeIterator

Previously, calling memSafeIterator.Seek() would call the Seek() method
on its embedded iterator. This was causing the embedded iterator and the
memSafeIterator to get out of sync because when the embedded Seek()
moved to the next element of the embedded iterator, memSafeIterator
didn't "know" about it. memSafeIterator has to "know" when the embedded
iterator has moved to be able to work out when it should be reading from
its buffer rather than the embedded iterator.

Used same logic as for xorIterator.Seek() (which in runtime is used as
the embedded iterator) - return false if the iterator has an error and
try to move to next element if the required time hasn't been reached, or
if no elements have been read yet. The memSafeIterator.Next() method is
being called so memSafeIterator.i is always accurate.

Signed-off-by: Fiona Liao <fiona.y.liao@gmail.com>

* Add tsdb package test

Signed-off-by: Fiona Liao <fiona.y.liao@gmail.com>

Co-authored-by: Oleg Zaytsev <mail@olegzaytsev.com>
2021-04-27 00:43:22 +02:00
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Prometheus

CircleCI Docker Repository on Quay Docker Pulls Go Report Card CII Best Practices Gitpod ready-to-code Fuzzing Status

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 when specified conditions are observed.

The features that distinguish Prometheus from other metrics and monitoring systems are:

  • A multi-dimensional data model (time series defined by metric name and set of key/value dimensions)
  • PromQL, a powerful and flexible query language to leverage this dimensionality
  • No dependency on distributed storage; single server nodes are autonomous
  • An HTTP pull model for time series collection
  • Pushing time series is supported via an intermediary gateway for batch jobs
  • 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.

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 source code, first ensure that have a working Go environment with version 1.14 or greater installed. You also need 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:

$ GO111MODULE=on 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 and promtool 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
  • assets: build the new experimental React UI

Building the Docker image

The make docker target is designed for use in our CI system. You can build a docker image locally with the following commands:

$ make promu
$ promu crossbuild -p linux/amd64
$ make common-docker-amd64

NB if you are on a Mac, you will need gnu-tar.

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

Contributing

Refer to CONTRIBUTING.md

License

Apache License 2.0, see LICENSE.