In this post we introduce Promscale, a new open-source long-term store for Prometheus data designed for analytics.. Promscale is a horizontally scalable and operationally mature platform for Prometheus data that offers the combined power of PromQL and SQL, enabling developers to ask any question, … ; The value, which is a float64.When querying in the Prometheus console, the value … SELECT a.value * COALESCE(b.value, 1), a. The PromQL language is documented at Prometheus Query Basics. ~ promql labels apiserver_request_total LABELS __name__ client code component contenttype endpoint group instance job namespace prometheus prometheus_replica resource scope service subresource verb version Each Metric Name and label is paired with a Value, where the Value is the actual numerical data point sent from the system. The parts are: Metric_name (e.g. I need to query network traffic consumption for my Kubernetes pods and plot Prometheus time series in Grafana dashboard. Getting all values for a … For new functionalities released as part … Here is a sample data set: varnish_main_client_req); One or more labels, which are simply key-value pairs that distinguish each metric with the same name (e.g. 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: Here at Timber we've found Prometheus to be awesome, but PromQL difficult to wrap our heads around.This is our attempt to change that. group_right(label_app) — this is the actual join (if match found) the labels passed to the group_right are explicitly been added from the one side (the kube pod labels) to the result. Basics Instant Vectors. This is the method that UIs typically use to present you with a list of metric names. PromQL is a built in query-language made for Prometheus. (1) and (2) are easy one-liners, and I feel like (3) should be too, but I can't get it. The promql labels command returns all current labels available for a given query. The basic expression would be such: sum by(pod) (rate( Sysdig Monitor's PromQL support includes all of the features, functions, and aggregations in standard open-source PromQL. a * on (foo, bar) group_left(baz) b or on (foo, bar) a. which is equivalent to. This is where group comes in. While the PromQL query above gives you the metric names of all series with recent (<5m old) data, this metadata API endpoint will by default give you all metric names that are known to the TSDB at any time. No math is performed on values … namespace="section-b4a199920b24b").Each metric will have at least a job label, which corresponds to the scrape config in the prometheus config. PromQL is designed to allow the user to select and aggregate time-series data. I wish to (1) group data by one variable (State), (2) within each group find the row of minimum value of another variable (Employees), and (3) extract the entire row. Metric Names, Labels, and Values are stored as a set, and we use this information to query the time-series info. *, b.baz FROM a LEFT OUTER JOIN b ON (a.foo == b.foo AND a.bar == b.bar) or represents the third and final type of vector matching in PromQL, many-to-many. Adding a Label creates a subset of time-series within the larger group defined by the Metric Name. Like PromQL, LogQL supports a subset of built-in aggregation operators that can be used to aggregate the element of a single vector, resulting in a new vector of fewer elements but with aggregated values: Only Instant Vectors can be graphed.