Depending on your data source, the query editor might provide auto-completion, metric names, or variable suggestion.Because of the difference between query languages, data sources may have query editors that look different. MySQL query Prometheus exporter - 0. g, Node Exporter, Blackbox Exporter, SNMP Exporter, JMX Exporter, etc For a more high level client library with more limited scope, have a look at elasticsearch-dsl - a more pythonic library sitting on top of elasticsearch-py. This is mainly to support following units:Time durations can be combined, by concatenation. For example.Search for metric names in this input field.Perform an “instant” query, to return only the latest value that Prometheus has scraped for the requested time series. Indeed, all Prometheus metrics are time based data. Removing a query permanently deletes it, but sometimes you can recover deleted queries by reverting to previously saved versions of the panel.The first query will use the data source that was selected before you selected.You cannot change an existing query to use the Mixed Data Source. Here are two query examples: ... Min interval - Sets a minimum limit for the automatically calculated interval, typically the minimum scrape interval. An array o… Prometheus comes with its own query language called PromQL, Understanding PromQL is difficult, let alone the scary syntax — especially if you are supposed to come up with queries on your own. Prometheus (PromQL) query editor. longest to the shortest. Such things as prombench and thanosbench already exist which benchmark the Prometheus and Thanos software respectively. Each query row contains a query editor and is identified with a letter (A, B, C, and so on).Grafana Labs uses cookies for the normal operation of this website.Create API Tokens and Dashboards for a Specific Organization,Add authentication for data source plugins.Change the order of queries by moving them up or down. Legend format: Controls the name of the time series, using name or pattern. The API response format is JSON. Prometheus comes with its own query language called PromQL, Understanding PromQL is difficult, let alone the scary syntax — especially if you are supposed to come up with queries on your own. or aggregated your data sufficiently, switch to graph mode. of time. Other non-2xxcodes may be returned for errors occurring before the APIendpoint is reached. A context is passed to it which is used to limit the amount of time that it can take to perform the query. Loki streams data in the live tailing mode.Grafana automatically calculates an appropriate interval and it can be used as a variable in templated queries. We limit the total memory a query can use. The current stable HTTP API is reachable under,The API response format is JSON. Units must be ordered from the tabular data in Prometheus's expression browser, or consumed by external All rights reserved. Unlike Go, Prometheus does not discard newlines inside backticks.Scalar float values can be written as literal integer or floating-point numbers in the format (whitespace only included for better readability):Instant vector selectors allow the selection of a set of time series and a One of them, the active query log, is mandatory and can not be disabled. expression query.The following endpoint evaluates an instant query at a single point in time:You can URL-encode these parameters directly in the request body by using the,The following example evaluates the expression.The following endpoint evaluates an expression query over a range of time:The following endpoint returns the list of time series that match a certain label set.The following example returns all series that match either of the selectors.The following endpoint returns a list of label names:The following endpoint returns a list of label values for a provided label name:This example queries for all label values for the,Expression queries may return the following response values in the,Range vectors are returned as result type,Instant vectors are returned as result type,Scalar results are returned as result type,String results are returned as result type.The following endpoint returns an overview of the current state of the Variables are shown as dropdown select boxes at the top of the dashboard. Grafana does not send hidden queries to the data source.Remove a query. cases like aggregation (.If a target scrape or rule evaluation no longer returns a sample for a time 3. The first syntax is easier to read and write but does not allow you to use a variable in the middle of a word. Scalar- a simple numeric floating point value 4. Due to limitation of the YAML systems via the,This document is meant as a reference. What you should look for after you hit that issue, how to know when it can happen, and how to find the slow queries. The order of results reflects the order of the queries, so you can often adjust your visual results based on query order.Copy a query. Get a 30-day free trial.Enhanced version of Grafana with enterprise features, plugins and support,Enables Prometheus-as-a-Service for large organizations running at scale.Platform for querying, visualizing, and alerting on metrics and logs wherever they live.Highly scalable, multi-tenant, durable, and fast Prometheus implementation.Scalable monitoring system for timeseries data.Horizontally scalable, multi-tenant log aggregation system inspired by Prometheus.Multi-tenant timeseries platform for Graphite.De facto monitoring system for Kubernetes and cloud native.Configuration utility for Kubernetes clusters, powered by Jsonnet.The latest news, releases, features, and how-tos.What end users are saying about Grafana, Cortex, Loki, and more.Ask questions, request help, and discuss all things Grafana.Guides for installation, getting started, and more.Re-watch all the talks from our first virtual conference.Step-by-step guides to help you make the most of Grafana.Grafana includes built-in support for Prometheus. This in order to do that it has to be a part of an aggregation function, so we will use the max() function to return these labels, using max() will keep the values at 1.one set of results from kube_pod_labels as opposed to many results for cpu_usage.The problem is when trying to match these 2 results (join) PromQL needs the exact labels to exists in the same set or else the combined result will be empty (no match).In order to do that we need to replace the label pod_name with pod.so let’s plug these values into the place holders:the label_replace is a bit misleading as it essentially adds a label rather than replacing one.First we need to understand that the results sets type is a vector — we are looking at a set of timeseries not a single one , so in order to join these we need some sort of binary operation on them.so basically our query will take the pod labels which has a value of 1 and if all we want to end up with is these pod labels combined with the cpu_usage labels we simply need to multiply one vector by the other.We end up with what we wanted the pod label for every pod name and the cpu_usage value, however we’re not quite there, we need to aggregate those results by the label_app.To do that we wrap the entire query with sum() by (label_app).Open Grafana, create / edit existing dashboard and add to it a graph panel.As the results contains the key label_app and the value for the label_app it will appear in grafana as {label_app=”redash-celery-scheduler-python-daemon”}.Add to the legend section a filter to remove that label_app:This will result in the value for the label_app.This is it, there is much more to learn on promQL but I do hope that you enjoyed this walkthrough and now understand how to use it with more confident. ignoring/on(