04.01.2022 · PromQL uses four data types. Scalar. Range vector. Instant vector. String. Let’s understand one by one with examples. Scalar : The expressions resulting in a single constant numeric floating number is scalar. e.g, 11.99. Copy.
Mar 16, 2021 · Aggregation is a great way to construct powerful PromQL queries. If you’re familiar with SQL, you’ll remember that GROUP BY allows you to group results by a field (e.g country or city) and apply an aggregate function, such as AVG () or COUNT (), to values of another field. Aggregation in PromQL is a similar concept.
Aug 10, 2020 · This is where group comes in. group always produces 1 as a the value of the aggregation group, but more importantly signifies for anyone reading the PromQL expression that it is the aggregation's label handling that is what's important rather than the numeric result: Finally, as the value is 1 you could also use sum for the outer aggregation ...
How to use promql group by without using aggregate functions in Grafana. Ask Question Asked 1 year, 6 months ago. Active 1 year, 5 months ago. Viewed 2k times 2 I am trying to create a query that groups the data by "Api" field and selects a value field by using prometheus and grafana. My sample query (promql ...
PromQL relies heavily on Metric Labels for filtering. A label is a key-value pair that defines a new time-series. A label is a key-value pair that defines a new time-series. For example, you may have a metric that simply counts the number of API requests (e.g., api_http_requests_total ).
16.03.2021 · Aggregation is a great way to construct powerful PromQL queries. If you’re familiar with SQL, you’ll remember that GROUP BY allows you to group results by a field (e.g country or city) and apply an aggregate function, such as AVG () or COUNT (), to values of another field. Aggregation in PromQL is a similar concept.
26.05.2021 · Deep Dive in PromQL A Closer Look at Metric Labels . Prometheus is used in large scale deployments to monitor infrastructure and workloads of all sizes and complexity. As a result, Prometheus collects a lot of metrics that you don’t necessarily need all of the time. You can filter those extra metrics out using PromQL.
27.05.2021 · Top 10 PromQL examples for monitoring Kubernetes. By Jesus Ángel Samitier. on May 27, 2021. ← Blog Homepage. Table of contents. Table of Contents #1 Pods per cluster #2 Containers without limits #3 Pod restarts by namespace #4 Pods not ready #5 CPU overcommit #6 Memory overcommit #7 Nodes ready #8 Nodes flapping #9 CPU idle #10 Memory idle ...
10.08.2020 · Using the group () aggregator in PromQL. Prometheus 2.20 added a group aggregator. What is it for? If you wanted to count the number of unique values a label has, such as say the number of values the cpu label had in node_cpu_seconds_total per instance the standard pattern is: count without (cpu) ( count without (mode) (node_cpu_seconds_total ...
Return the 5-minute rate of the http_requests_total metric for the past 30 minutes, with a resolution of 1 minute. rate (http_requests_total [5m]) [30m:1m] This is an example of a nested subquery. The subquery for the deriv function uses the default resolution. Note that using subqueries unnecessarily is unwise.
Jan 04, 2022 · PromQL is the querying language that is part of Prometheus. In addition to PromQL, Prometheus provides a scraper that fetches metrics from instances (any application providing metrics) and a time series database, which stores these metrics over time.
The label list provided with the group modifier contains additional labels from the "one"-side to be included in the result metrics. For on a label can only appear in one of the lists. Every time series of the result vector must be uniquely identifiable. Grouping modifiers can only be used for comparison and arithmetic.
Aggregation is a great way to construct powerful PromQL queries. Prometheus 2.0 introduced the group() operator for exactly this purpose. Before getting started ...
16.02.2021 · You can also grab similar metrics by type, grouping them together in a PromQL query to display them together. It makes things far easier to view, without switching between the two. Similarly, PromQL lets you group multiple labels together, then sorting according to those groupings. Prometheus Metric and Data Types